﻿WEBVTT

1
00:00:00.001 --> 00:00:18.219
and the and associate Professor Adrian Zerbu, and also a Ph. D. Student Kosmin, get so based at Babbage by University, the university where I'm based as well. So screen time, development, screen time and development of internalizing and externalizing problems among Romanian urban high schoolers.

2
00:00:18.280 --> 00:00:35.029
Something about the context of our research. First, before going into the actual results. Children and adolescents are now living in a complex media world, that, besides its opportunities, also creates a unique set of risks for them

3
00:00:35.140 --> 00:00:45.159
and portraying to remain in context. remain in adolescence as remaining all over the world, are frequent user of electronic devices

4
00:00:45.160 --> 00:01:06.470
with more than half of uranium's age, 1115, spending more than 2Â h per day on screen and doing the covid restriction when everything or almost everything moved online, this time increased to 4Â h per day during the week, and to 3.5Â h per day during the weekends for children, aged 6, 18.

5
00:01:06.610 --> 00:01:28.480
But even without taking into consideration the pandemic impact on screen time exposure, we noticed an increase from 2,012. We're watching TV using the telephone, and the computer accounted in average for 1.7Â h per week days and 2.8Â h per weekend for children, age 1318.

6
00:01:28.480 --> 00:01:39.620
So, considering these numbers, we asked ourselves whether the amount of time one spends navigating on different electronic devices is harming youth

7
00:01:39.780 --> 00:02:05.480
and research so far has been more or less inconsistent. In terms that some studies have found negligible effect on screen time, on adolescence, well-being, or even some positive effects. But other studies have found that excessive screen time for atolescence has been associated with a range of psychosocial disturbances. Behavioral and health issues.

8
00:02:05.480 --> 00:02:32.560
Increased. Time spend in front of screen has been found to have a small yet consistent impact on adolescent mental health as well. In addition to internalizing problems like depression and anxiety screen time has also been previously linked to different externalizing pro behavioral problems, like bullying for academic performance, due to inattention or skipping classes, substance abuse on

9
00:02:32.640 --> 00:02:51.890
and and how they different eating habits. So, starting from this assumption, starting from this previous research, we hypothesize that increased screen time is associated with heightened display of internalizing and externalizing symptoms.

10
00:02:52.260 --> 00:03:06.300
So in starting from this, we we carry this empirical, it empirical research. we have used a lot of instruments.

11
00:03:06.480 --> 00:03:30.520
this research is part of a larger study. But for this presentation we we are only focusing on this internalizing and externalizing symptoms. So for internalizing symptoms, we use 13 items from symptom checklist 19. So 3 items for anxiety and 3 items for depression.

12
00:03:30.600 --> 00:03:56.719
aggressive behavior was measured using C 6 items and was, was evaluating behaviors like heating, slapping, strangling, threatening, while delinquency measured the frequency on which, during the past year, the respondents engage into a different criminal behavior, such as stealing, break into a car or house vandalizing

13
00:03:56.910 --> 00:04:19.379
for a screen time. We use a series of 4 questions measuring the average daily time, spending, watching TV, playing video games, navigating social media and navigating Internet. The responses were range from one to 8, almost not at all to 6Â h or more per day.

14
00:04:19.380 --> 00:04:30.300
E C.

15
00:04:30.790 --> 00:04:45.299
 control variables were assessed as at the individual level, at a family level, at individual level. We were interested in gender

16
00:04:45.420 --> 00:05:15.060
male female in family structure. Here we categorize our responses into a dicotomous variables, a family of children who lived together with 2 parents. So both parents were present and alternative family structures. As we defined all the other family arrangements, where, where a child could leave like one parent being present, they were a divorced or one parent or a that were in

17
00:05:15.060 --> 00:05:45.639
He or she was living with a different family member. a change in residency and school measure. During the past year the child has changed the city where he lived and or changed the school where he studied and the family. We were interested into 3 variables, family support, family rule and family monitoring. Family support is a

18
00:05:45.980 --> 00:06:06.780
cumulative is an added score of from 5 items, measuring different forms of support, care, and worm, discussing about personal issues, receiving advice about own studies, or receiving help when dealing with different problems and higher score indicated a higher level of support from parents.

19
00:06:06.780 --> 00:06:22.969
Parent rule. Again, it's It's a cumulative, cumulative score, based on responses to 3 items, including the degree in which parents set strict rules regarding different activities at home

20
00:06:22.970 --> 00:06:51.750
activities performed outside the home and time curfew. So it was. Rules in general and not specific rules for trained to electronic device usage and monitoring again, 3 items measure, the degree in which parents know with who and how evenings and free times are spend. And again, a higher score. We present a lower level of parental monitoring

21
00:06:51.970 --> 00:07:02.940
In total, we have nearly 25, 100 students. they are 10 great students, meaning 1516 years old.

22
00:07:02.980 --> 00:07:25.489
From Bucharest, the capital city of Romania. certain class, a certain number of classes and high schools. Colleges were randomly selected, and an anonymous questionnaire were administrated, then to all 10 graders that were present in the classroom at the time of selected at the time of the Sarvey

23
00:07:25.490 --> 00:07:35.569
and before data collection there were more than 3,500 informative letters were sent to parents. asking for their consent.

24
00:07:36.120 --> 00:07:49.719
We use the passive consent, procedure, and students who returned the letter signed by their parents. The students who returned the letter signed by parents were included in

25
00:07:49.840 --> 00:08:04.000
in the study And they filled in the questionnaire. So they filled in the questionnaire in the classroom, and then send The answer in the sealed envelope. And you know, then the procedure. The procedure.

26
00:08:05.000 --> 00:08:18.890
you know, carried.  okay, so results some descriptive results. First, so regarding the screen time

27
00:08:18.910 --> 00:08:35.949
exposure. boys are more exposed to screen time activities and are also more engaged into active screen time. We we try to differentiate between active and passive screen time, because, as I said before, our screen time variable

28
00:08:35.960 --> 00:08:59.370
was composed by 3. By 4 measures, different activities. They could carried online. and we use the general screen time score. But then it's interesting. And it was becoming, while doing, performing our analyzes was becoming interesting, that there is an active screen time

29
00:08:59.400 --> 00:09:15.249
like doing something on the Internet like reading, something, commenting, being on social media and passive screen time like it's watching till it watching television. So boys are more engaging to active screen time exposure

30
00:09:15.250 --> 00:09:34.889
screen time activities. Sorry compared to girls and living in other family arrangements, is also associated towards screen time exposure compared to traditional 2 parent families and also active screen. Time is more frequent in these non-traditional families, which

31
00:09:35.120 --> 00:10:09.530
may be explained by the lack of other activities or the lack of supervision. The lack of monitoring in terms of mental health, so internalizing and externalizing symptoms. girls significantly displayed more internalizing problems, boys significantly display more externalizing problems, so more engagement, more frequent engagement into aggression or delinquent behavior, respondents belonging to other family structures, some non typical family structure displaying or internalizing problems.

32
00:10:09.530 --> 00:10:22.199
A in school contributed to height and depressive more than engagement into delinquent behavior while changing residency contributed to height and depressive mood and

33
00:10:23.050 --> 00:10:37.849
and and aggression. But more interesting is the model we tested. So we wanted to see how all these variables contribute to the development of this internalizing or externalizing

34
00:10:37.970 --> 00:10:39.580
problems.

35
00:10:40.980 --> 00:10:53.780
we use a 3 step. multiple linear regression, analysis that identify the combination of factors associated with this development of internalizing and externalizing problems.

36
00:10:54.040 --> 00:11:12.689
and in in summary aside from family structure and changing the school environment. All the other factors have shown to be significant contributors to the model for internalizing problems. Therefore girls tend to display more depressive and anxiety. Symptoms compared to boys

37
00:11:12.690 --> 00:11:28.270
changing the city leads toward depressive symptoms, while a family environment, characterized by low support and less restriction, leads to both heightened depression and anxiety, while low monitoring is associated with depression only

38
00:11:28.350 --> 00:11:55.869
and consistent with our and so assumptions screen time exposure is significantly associated with the development with the display of depressive symptoms suggesting that more time spent, one spends on different electronic devices and performing different activities, while online is associated to more frequent display of internalizing problems while controlling for other individual and family factors.

39
00:11:55.950 --> 00:12:06.000
As for externalizing problems, we found similar correlates, similar variables contributed to the model. But in this.

40
00:12:06.540 --> 00:12:29.620
In this model, boys experiencing change in residency during the last year. Low perp, parental support and monitoring are associated with more frequent engagement in aggressive and delinquent behavior. Frequent media use was significant only for aggression, and partially supporting, thus partially supporting our

41
00:12:29.620 --> 00:12:44.719
assumption. So we we concluded that, controlling for all the other predictors. More total screen time exposure is associated to more engagement into into aggressive.

42
00:12:45.100 --> 00:12:47.440
into aggressive behavior.

43
00:12:48.470 --> 00:13:10.080
So in summary upon controlling for all this individual, like gender family structure, certain environmental changes and family variables, like parents, support rules and monetary. More screen time exposure indicates heightened depressive and anxiety, symptoms and elevated aggression.

44
00:13:10.140 --> 00:13:27.079
So now, delinquency, delinquent behavior, engagement into the liquid behavior was not a significant, variable. acknowledging that current generation of teenagers is growing up in a world saturated with electronic media. This conclusion will.

45
00:13:27.120 --> 00:13:39.759
however, I need further exploration, as we did not examine for specific types of devices and the level of interaction, but only accounted for a general screen time exposure

46
00:13:39.790 --> 00:13:59.110
and previous research also shows that it's not a matter of screen time exposure, but also what counts. What matters? It's the device used and what they are doing on that specific device. So the timing we use a general construct of time. But time

47
00:13:59.230 --> 00:14:13.700
it's not to say, we acknowledge that the time is not the only variable that might be significant. or we cannot just based our explanation on general time.

48
00:14:13.930 --> 00:14:32.360
As adolescents are more susceptible to opportunities and risk of emerging new technologies, additional studies, exploring and clarifying the role of active and passive screen time in adolescent mental health outcomes also becomes critical. As I was mentioned before.

49
00:14:32.410 --> 00:14:47.669
when when discussing about our our variables, we had 4 items, and we average those items, and we did not necessarily make the distinction between active and screen time

50
00:14:48.140 --> 00:15:14.590
screen time exposure. Nevertheless. We, we consider that with all these limits that we would not go into details. Now, this study contributes to the field in bringing new and contextualized evidence regarding the association between individual family environments, screen time, exposure and development of certain emotional and behavioral problems for adolescence.

51
00:15:14.700 --> 00:15:35.359
and we consider that our results may help to clarify some underlying relationships contributing to negative health outcomes and also supporting development of targeted prevention or supportive programs for adolescence and their families. One when relating to

52
00:15:36.050 --> 00:15:47.099
to media exposure. So briefly. That was it. I I tried to to keep up in time, and this is still an ongoing research and some

53
00:15:47.110 --> 00:16:08.560
firsthand the first time. The results. Oh, thank you for taking your time to listen to to the presentation, and if you have other questions or comments, I or my colleagues are happy to to address them. Thank you and enjoying the rest of the conference.

54
00:16:13.120 --> 00:16:22.409
 all right. And our 6Â s presentation

55
00:16:23.190 --> 00:16:27.760
will be made by Felicia. And.

56
00:16:28.030 --> 00:16:28.720
oh.

57
00:16:30.510 --> 00:16:31.899
are you there

58
00:16:32.760 --> 00:16:37.200
Felicia Boma Lazaridou: in here. Yeah. yeah, we will stop

59
00:16:37.290 --> 00:16:43.010
just a second. I will stop sharing here to you. Share your presentation.

60
00:16:49.950 --> 00:16:58.640
Felicia Boma Lazaridou: Okay? Perfect. Right? Thank you. So yeah, my name is.

61
00:16:59.010 --> 00:17:03.969
and I will get the first.

62
00:17:04.050 --> 00:17:07.579
Felicia Boma Lazaridou: The the sound is not clear here. Sorry. Just a second.

63
00:17:08.370 --> 00:17:09.880
Try again.

64
00:17:10.000 --> 00:17:12.400
Felicia Boma Lazaridou: Can you hear me?

65
00:17:13.080 --> 00:17:14.229
That's enough.

66
00:17:14.540 --> 00:17:15.410
No.

67
00:17:18.510 --> 00:17:25.259
Now, because your your son is in owning the computer here, not not in the

68
00:17:26.010 --> 00:17:31.959
there, in the sound system and in the room.

69
00:17:32.160 --> 00:17:34.209
Just a second

70
00:17:53.490 --> 00:17:55.089
try again, Felicia.

71
00:17:55.870 --> 00:17:57.200
Felicia Boma Lazaridou: Okay, is that better?

72
00:17:58.720 --> 00:18:02.550
My Sue is still in the in the computer, not in the system.

73
00:18:04.300 --> 00:18:06.919
Just a second. I just called the

74
00:18:07.190 --> 00:18:09.030
Felicia Boma Lazaridou: support.

75
00:18:31.830 --> 00:18:32.670
So

76
00:18:33.030 --> 00:18:34.400
she

77
00:18:35.860 --> 00:18:42.400
her her presentation. It's only in the computer that nothing that helps the some system.

78
00:18:46.120 --> 00:18:46.910
It's too time.

79
00:18:51.060 --> 00:18:54.009
Now let's just check. If the audio is coming through properly.

80
00:18:59.970 --> 00:19:01.070
It's working.

81
00:19:08.830 --> 00:19:10.800
Yeah.

82
00:19:15.040 --> 00:19:17.639
go in there. It lets you change the speed. I don't

83
00:19:18.580 --> 00:19:21.559
I? There we are. Try one more time.

84
00:19:21.710 --> 00:19:23.499
Felicia Boma Lazaridou: Okay, can you hear me. Now.

85
00:19:23.530 --> 00:19:26.220
Felicia Boma Lazaridou: there we go.

86
00:19:26.740 --> 00:19:30.260
Okay. Thank you. Bit more.

87
00:19:31.550 --> 00:19:32.859
Okay, perfect.

88
00:19:33.420 --> 00:19:35.819
Felicia Boma Lazaridou: Thank you.

89
00:19:36.530 --> 00:19:52.550
Felicia Boma Lazaridou: So yeah, my name is and I will talk about a project on racism, clinical psychosis, and some clinical psychosis, symptomatology. The role of ascribed migrant status and post migration sets.

90
00:19:55.370 --> 00:19:57.270
Felicia Boma Lazaridou: So the first question is.

91
00:19:57.340 --> 00:20:07.559
Felicia Boma Lazaridou: what is racism? So typically my zoom is understood in many different ways. we do know that it creates hostile and exclusionary environments.

92
00:20:07.830 --> 00:20:20.789
Felicia Boma Lazaridou: that it leads to divisions, animosity, and feelings of alienation that it reinforces systematic inequalities and perpetuates disparities. normalizes discriminatory behavior

93
00:20:20.830 --> 00:20:24.130
Felicia Boma Lazaridou: leads to fragmentation and around trust.

94
00:20:24.400 --> 00:20:34.550
Felicia Boma Lazaridou: And it's based on categorizations generalizations and hierarchies that both over time and the continued to to persist as a system of power.

95
00:20:36.190 --> 00:20:39.100
Felicia Boma Lazaridou: So we conducted a systematic review.

96
00:20:39.310 --> 00:20:48.399
Felicia Boma Lazaridou: looking at all international studies for the past 5 years among children and adolescents and their experiences of racism and mental health.

97
00:20:48.590 --> 00:20:58.889
Felicia Boma Lazaridou: And one of the questions that we asked was looking at how the different researches of conceptualized racism. So this is just a little map

98
00:20:59.010 --> 00:21:03.729
Felicia Boma Lazaridou: of some of the different ways that racism is conceptualized in these studies.

99
00:21:03.740 --> 00:21:25.159
Felicia Boma Lazaridou: So the studies looked at bullying and victimization. So that was looking at racist insults and versus descriptions, also looking at societal level. So in the neighborhood schools, as historical and structural oppression. Nowadays online is coming an important

100
00:21:25.210 --> 00:21:32.790
Felicia Boma Lazaridou: the format for understanding racism also thinking about things like microaggressions and demeaning messages.

101
00:21:34.280 --> 00:21:48.179
Felicia Boma Lazaridou: So in the study, we decided that we were looking at racism and not race. And this is quite an important distinction. The question remains as to why, then we would look at one concept and not the other

102
00:21:48.240 --> 00:21:49.650
Felicia Boma Lazaridou: specifically.

103
00:21:50.920 --> 00:21:57.759
Felicia Boma Lazaridou: And the answer would be that that because we believe there are no human races as such. But there is racism.

104
00:21:58.220 --> 00:21:59.560
Felicia Boma Lazaridou: however.

105
00:21:59.710 --> 00:22:18.480
Felicia Boma Lazaridou: what remains, despite this kind of shift in science, to not consider race, especially as a biological construct, but to think of it only as a social construct, and then thinking about the ramifications of that is that they persist to be a racist world view.

106
00:22:18.800 --> 00:22:29.500
Felicia Boma Lazaridou: So if we take this as an example we do have. I mean, there are literature where you can. you know explicitly. See this race as well if you still being perpetuated.

107
00:22:29.790 --> 00:22:30.610
Felicia Boma Lazaridou: But

108
00:22:31.090 --> 00:22:51.979
Felicia Boma Lazaridou:  Some time ago in science we would look at race, and we would make particular assumptions. So certain types of races have certain happy brain size which is then associated with by IQ, which is then associated with the individual or national success.

109
00:22:52.070 --> 00:23:05.520
Felicia Boma Lazaridou: And on the other side we would say. certain races are associated with the high levels of To to the right that's associated with violence regression, which is that's associated with rape.

110
00:23:05.700 --> 00:23:18.609
Felicia Boma Lazaridou: So what happened was, we said, Okay, we're not. We're not going to talk about race anymore, or the race is no longer a valid construct for our study. So we'll take that out.

111
00:23:18.940 --> 00:23:33.430
Felicia Boma Lazaridou: But what still remains besides of this are these particular assumptions within science? And we can see that in terms of the types of scientific publications that are still prevalent today

112
00:23:33.530 --> 00:23:42.750
Felicia Boma Lazaridou: that make assumptions about brain size, about IQ and about individual and national success. and on the flip side

113
00:23:42.760 --> 00:23:47.300
Felicia Boma Lazaridou: still make assumptions about testosterone aggression and rate.

114
00:23:48.850 --> 00:24:13.889
Felicia Boma Lazaridou: So what we've done is actually replace race with this idea of population differences. Now, now, we don't talk about race. But we'll talk about population differences. So we might talk about male to female differences. We might talk about cultural differences. for example, again, these same

115
00:24:14.590 --> 00:24:20.479
Felicia Boma Lazaridou: associations or the same Ideas are still being perpetuated.

116
00:24:21.610 --> 00:24:29.829
Felicia Boma Lazaridou: and we did it. Small sort of literature review, where we put in the

117
00:24:30.010 --> 00:24:33.419
Felicia Boma Lazaridou: search terms race and genetics into pubmed

118
00:24:33.650 --> 00:24:41.880
Felicia Boma Lazaridou: And we did the same for race and social construct. And it seems that there are a lot more publications

119
00:24:41.980 --> 00:25:04.169
Felicia Boma Lazaridou: on race and genetics than there are, and on race as a social construct which suggests that, despite this popularized idea, that race is no longer a biological construct. There seems to be a lot more money going into this type of research. and a lot more of these types of research are being published even today.

120
00:25:04.860 --> 00:25:15.619
Felicia Boma Lazaridou: So for those reasons, we focus on racism, and not race, because we don't want to perpetuate the idea that place is a valid construct.

121
00:25:16.940 --> 00:25:20.480
Felicia Boma Lazaridou: So in terms of the current state of the the research.

122
00:25:20.630 --> 00:25:37.919
Felicia Boma Lazaridou: What we know about racism, mental health is that racism causes negative effect and impacts cognitive functionality. So experiencing racism can lead to negative emotions which can negatively impact cognitive functioning, including memory, attention and decision making.

123
00:25:38.140 --> 00:25:43.900
Felicia Boma Lazaridou: It also contributes to allostatic load. which is a concept

124
00:25:43.920 --> 00:26:02.220
Felicia Boma Lazaridou: covering the prolonged and continued exposure to racism or to to stress in general that can lead to physiological changes, such such as increased levels of cortisol, which is the the stress hormone and inflammation we can contribute to a cumulative burden

125
00:26:03.270 --> 00:26:14.140
Felicia Boma Lazaridou: braces and reduces in engagement in healthy behavior, so it makes it difficult for people to have a good quality of sleep with good duration of sleep, for example.

126
00:26:14.330 --> 00:26:22.309
Felicia Boma Lazaridou: and it can lead to direct physical injury in the sense of violence, of police brutality and other forms of racialized harm.

127
00:26:29.220 --> 00:26:53.770
Felicia Boma Lazaridou: So just to give it a conceptual understanding of how racism then leads to mental health issues. So we start at a structural level. First of all. So thinking about you know, systematic in exclusion or integration, let's say, a company by system, exclusion. And this is fairly paradoxical, but at the same time

128
00:26:53.779 --> 00:27:00.600
Felicia Boma Lazaridou: if you think about, for example, migration and the the

129
00:27:01.270 --> 00:27:15.960
Felicia Boma Lazaridou: the social demands for integration and at the same time, you know various types of exclusions that take place, for example, in health care system in the education system. It's easier than to understand.

130
00:27:15.979 --> 00:27:24.789
Felicia Boma Lazaridou: And at the same time you then have this kind of skate voting and colonial imagination disseminated through media, for example.

131
00:27:25.140 --> 00:27:32.869
Felicia Boma Lazaridou: which create moral panics and the withdrawal of belonging. You know. the idea that people should.

132
00:27:32.899 --> 00:27:42.109
Felicia Boma Lazaridou: you know, go back when it when I came from, and things like this which can lead to social pain and learned helplessness. And in the end you then

133
00:27:42.290 --> 00:27:53.129
Felicia Boma Lazaridou: you're at this social identity last connected to the connectedness, loss, and disintegration of the body. And this is where we're focusing on all we thinking about mental health.

134
00:27:55.140 --> 00:28:12.400
Felicia Boma Lazaridou: So from a structural level, there are various potential remedies at various steps within mental health within psychiatry. so the first point we're understanding. Okay, so if we're saying that racism impacts mental health. Of course, we're looking at social factors.

135
00:28:12.520 --> 00:28:25.780
Felicia Boma Lazaridou: what social factors are in play when people are experiencing racism and the potential remedies for that. Our social societal transformation, form and revolution.

136
00:28:26.050 --> 00:28:33.380
Felicia Boma Lazaridou: And in the next step you then have biological and psychological factors. So as I mentioned earlier, thinking about things like anesthetic load

137
00:28:33.400 --> 00:28:51.460
Felicia Boma Lazaridou: thinking about things like sleep, quality, and how do all of these things are affected? And a potential refugees here would be classical public health. So this might be things like medication, psychiatry, psychotherapy. Sorry. counseling and things like this.

138
00:28:51.730 --> 00:28:54.530
Felicia Boma Lazaridou: and if you know all of these

139
00:28:54.850 --> 00:29:17.180
Felicia Boma Lazaridou: other than you might end up with people being considered at risk. So this is prior to any clinical state. But you know the the accumulation of symptoms. even people are putting people in an at risk situation and potential remedies here. I think that it's screening and early detection.

140
00:29:17.820 --> 00:29:28.989
Felicia Boma Lazaridou: And if they go through this stage, then you'll end up in this kind of sickness and illness stage. And here potential remedies are hospitals and doctors.

141
00:29:29.530 --> 00:29:33.390
Felicia Boma Lazaridou: And if not, then we're thinking about things like social death. And

142
00:29:33.440 --> 00:29:50.830
Felicia Boma Lazaridou: so the idea here is really to think about where at which level racism impacts this institutional structures and and where we can sort of intervene to really be thinking about providing the best level of.

143
00:29:51.010 --> 00:29:57.359
Felicia Boma Lazaridou: So then, coming back to the focus of racism, clinical psychosis and subclinical psychosis symptoms.

144
00:29:58.080 --> 00:30:10.619
Felicia Boma Lazaridou: So in we did 2 things. So in method. One, we did an umbrella review of Meta, analytical studies. Looking at the incident rates of clinical psychosis among migrants

145
00:30:10.660 --> 00:30:23.499
Felicia Boma Lazaridou: so clinical psychiatrist as far as to a severe mental health condition characterized by a loss of contact with reality, leading to significant disruptions and thinking perceptions, emotions, and behaviors.

146
00:30:23.710 --> 00:30:37.470
Felicia Boma Lazaridou: So in terms of the scope we gathered and synthesized existing systematic reviews and meta analyses that have investigated the covalence of psychotic disorders among various migrants across different countries and regions.

147
00:30:37.650 --> 00:30:41.419
Felicia Boma Lazaridou: those who migrated to Western countries.

148
00:30:41.540 --> 00:30:51.220
Felicia Boma Lazaridou: and we looked at the the strength of evidence available, the quality and reliability to provide a comprehensive evaluation of the evidence.

149
00:30:51.270 --> 00:31:03.140
Felicia Boma Lazaridou: and in terms of implications, the findings of a number of you can inform mental health, help, mental health care, professionals, policymakers, and researchers about the current state of knowledge. And everyone.

150
00:31:08.270 --> 00:31:10.699
Felicia Boma Lazaridou: Okay. So in terms of findings.

151
00:31:10.770 --> 00:31:23.799
Felicia Boma Lazaridou: our first finding, was looking at region of origin of the migrants, and we found that Caribbean migrants, followed by black migrants of African descent, have the greatest psychosis with

152
00:31:23.830 --> 00:31:26.540
from all migrant groups.

153
00:31:28.980 --> 00:31:40.439
Felicia Boma Lazaridou: In terms of country arrival, we found that migrating to Great Britain, the Netherlands and Southern Europe shed the greatest like this race.

154
00:31:41.780 --> 00:31:53.070
Felicia Boma Lazaridou: and in terms of development status of the country of origin, we found that migrants from developed countries have a smaller risk of psychosis.

155
00:31:53.080 --> 00:31:59.270
Felicia Boma Lazaridou: whilst migrants from developing countries. an increased risk of.

156
00:32:00.320 --> 00:32:02.560
Felicia Boma Lazaridou: So in the second plot.

157
00:32:02.580 --> 00:32:12.070
Felicia Boma Lazaridou: we cannot. We noted a qualitative study on the development of stuff, clinical symptoms and racist contexts. In Berlin, in Germany

158
00:32:12.220 --> 00:32:38.329
Felicia Boma Lazaridou: I'm so clinical psychosis refers to symptoms that populate a threshold of illegal diagnosis. But still so in terms of the research objective. The objective of the study was to gain a deep insight into the experiences of people who have experienced racism and examine the potential impact of these experiences on the development of sub clinical psychosis symptoms

159
00:32:38.500 --> 00:32:55.920
Felicia Boma Lazaridou: in terms of data collection. our method of interviewing one on one. Interviews allow participants to share their personal experiences, perceptions, and emotions relating to encountering racism, and any potential associations with sub clinical psychosis symptoms.

160
00:32:56.200 --> 00:33:06.109
Felicia Boma Lazaridou: and in terms of the implications the results could inform intervention, support services and policies aimed at addressing the mental health needs of people experiencing.

161
00:33:07.270 --> 00:33:09.040
Felicia Boma Lazaridou: And so what we found

162
00:33:09.210 --> 00:33:23.410
Felicia Boma Lazaridou: were for something cool. psychos like that that were experienced by the participants in relation in direct relation to their experiences of racism.

163
00:33:23.630 --> 00:33:35.189
Felicia Boma Lazaridou: So the first point was a sense of different, a sense of differentness. and this is emotional alienation and a lack of confidence between actual self and forced ideal self.

164
00:33:35.780 --> 00:33:42.469
Felicia Boma Lazaridou: Negative self-awareness, which is intense public and private self-consciousness as a result of racism.

165
00:33:43.180 --> 00:33:54.080
Felicia Boma Lazaridou: paranoid ideation regarding general prosecution, so stress-based hypervigilance in a distinct sense of physical physical psychological and emotional and safety

166
00:33:54.590 --> 00:34:06.380
Felicia Boma Lazaridou: and self question, self questioning on self-esteem, instability. So the reduction of self concept, clarity, experience this confusion, but distorted reality and self perception.

167
00:34:08.520 --> 00:34:14.300
Felicia Boma Lazaridou: So then what is the role of prescribed migrant status and post migration?

168
00:34:14.310 --> 00:34:39.870
Felicia Boma Lazaridou: So we had 2 sets of participants. So one set of participants were what we would call as well given this ascribed to migrant status. So they were actually second generation. So born in Germany, but with one at least one parent who was born abroad, so they were not actually migrants themselves, yet they were perpetually seen and treated

169
00:34:39.870 --> 00:34:53.630
Felicia Boma Lazaridou: and talk to you as though they are migrants. And so this ascribed migrant status referred to refers to a label of being seen as a migrant based on being seen as not from here.

170
00:34:53.740 --> 00:34:57.359
Felicia Boma Lazaridou: I, irrespective of generation.

171
00:34:57.490 --> 00:35:04.190
And so they talked about how my at the subscribed migrant status can contribute to a feeling of otherness.

172
00:35:04.230 --> 00:35:15.489
Felicia Boma Lazaridou: also that it hinders a sense of belonging, and contributes to a sense of exclusion and marginalization as it creates these divisions between us and in them.

173
00:35:16.040 --> 00:35:32.579
Felicia Boma Lazaridou: And then we had a second group of migrants who were migrants first generation migrants who had arrived various different time points. But nevertheless, you directly had arrived at some point in Germany themselves.

174
00:35:32.810 --> 00:35:54.770
Felicia Boma Lazaridou: and together they you know, they talk about a collective process of adapting to a new country and the various stresses in relation to the mental health, including language, barriers, acculturation, and social isolation. But they also talked about how their experiences of racism and discrimination contributed to that overall stress.

175
00:35:56.460 --> 00:35:57.530
Felicia Boma Lazaridou: So

176
00:35:58.060 --> 00:36:16.910
Felicia Boma Lazaridou: the bringing all of those findings together. it's really important to talk about into cultural competence, but also to talk about structural competence. Right? And so the ethics of structural competence. are emphasized here. And this is the use of mental health, diagnosis and treatment as tools.

177
00:36:16.910 --> 00:36:32.520
Felicia Boma Lazaridou: as we know right? That the the The use of mental health, diagnosis and treatment as tools of depression have been well documented throughout history with many marginalized groups, experience and discrimination and mistreatment within mental health services.

178
00:36:32.620 --> 00:36:38.629
Felicia Boma Lazaridou: And so this is a good example. of how

179
00:36:39.130 --> 00:36:44.739
Felicia Boma Lazaridou: diagnosis has been used. As for political genders in order to sign people.

180
00:36:44.760 --> 00:37:00.550
Felicia Boma Lazaridou: And so racism and stigma have historically been personally in the mental health sciences. And these biases often were influenced by political vendors to label and stigmatize people who are resisting oppression, such as enslaved people and high profile civil rights after this

181
00:37:01.660 --> 00:37:04.689
Felicia Boma Lazaridou: and it equity and access to the

182
00:37:04.870 --> 00:37:17.450
Felicia Boma Lazaridou: the delayed seeking delayed help seeking and greater like, we had a first contact by emergency services among racialized communities. It's not an issue of lack of knowledge, and it's usually depicted as such.

183
00:37:17.530 --> 00:37:30.649
Felicia Boma Lazaridou: Rather it is a consequences of consequence of a great deal of knowledge about the systemic issues that need to be addressed if we are to move towards a more equitable and accessible mental health system.

184
00:37:31.860 --> 00:37:43.309
Felicia Boma Lazaridou: And this paper that I'm referring to is published already. so if you want it to to read it. You can find it in the European archives of psychiatry and clinical neuroscience.

185
00:37:44.150 --> 00:37:45.920
Felicia Boma Lazaridou: Thank you for your attention.

186
00:38:23.300 --> 00:38:24.609
Felicia Boma Lazaridou: I can't hear you.

187
00:39:06.730 --> 00:39:08.170
Agata Krasowska: We can hear you

188
00:39:23.340 --> 00:39:25.139
now. She can hear you

189
00:39:28.500 --> 00:39:29.360
today.

190
00:39:29.640 --> 00:39:32.770
My name is Chihuahua.

191
00:39:33.840 --> 00:39:41.270
Before I start my presentation I would like to acknowledge what Felicia said now about the history of film.

192
00:39:42.470 --> 00:39:45.420
the relationship between Eugenics

193
00:39:45.540 --> 00:39:49.390
and Mental Health in South Africa. Can you hear me now?

194
00:39:49.870 --> 00:39:50.790
Okay.

195
00:39:50.950 --> 00:39:55.690
all right. My presentation is entitled, Exploring the Effectiveness of mental health.

196
00:39:56.070 --> 00:40:01.149
First, it program for young people in South Africa. And this

197
00:40:01.790 --> 00:40:07.829
this research project is embedded in the history of mental health care

198
00:40:07.860 --> 00:40:12.540
in South Africa before 1,994,

199
00:40:14.870 --> 00:40:20.280
mental health and mental health care? Was you weaponized by the appetite government

200
00:40:20.570 --> 00:40:27.489
and a lot of political dissidents and people who were opposed to the appetite. Government government

201
00:40:29.900 --> 00:40:36.620
were in prison, and some of them were institutionalized in mental health facilities.

202
00:40:36.770 --> 00:40:45.040
and because of that, most people from previously marginalized communities in South Africa are not quite open to psychotherapy.

203
00:40:45.090 --> 00:40:47.480
So that's the background to my research.

204
00:40:54.560 --> 00:40:55.930
All right. So

205
00:40:56.190 --> 00:41:02.310
my talk will focus on the following key points, I would look at the objective of the research.

206
00:41:02.650 --> 00:41:08.489
and I would give an overview of some relevant health indicators within South Africa.

207
00:41:08.870 --> 00:41:14.049
I talk about the demographics and social determinants of health amongst young people in South Africa.

208
00:41:14.210 --> 00:41:18.849
A look at the research design, the methods, results, and then conclusion.

209
00:41:23.040 --> 00:41:28.610
Now this was a pilot study that was for caused on mental health. First aid.

210
00:41:29.070 --> 00:41:36.439
Why mental health? First aid? Because in South Africa black Africans make up 82% of the population.

211
00:41:36.970 --> 00:41:44.869
But with regard in terms of access to health care, most of them are not able to afford health care because we do not have our national health

212
00:41:45.210 --> 00:41:54.980
insurance and the bulk of payment within the South African health care system is, I think, about 80 95% is out of pocket.

213
00:41:55.050 --> 00:41:57.499
So we can't talk about psychotherapy

214
00:41:57.630 --> 00:42:03.239
in a generalized form, because not a lot of people can afford it.

215
00:42:03.380 --> 00:42:09.479
Then, on the other hand, we have the issue of acceptability of mental health care with mental health care

216
00:42:09.510 --> 00:42:13.220
has been weaponized in South Africa, and as a result of that

217
00:42:13.280 --> 00:42:18.640
we still have. There seem to be an intergenerational

218
00:42:18.880 --> 00:42:33.439
on transfer of the social construction or the construct of mental health in South Africa. So, as a result of that, a lot of young people in South Africa are not predisposed to any form of intervention from the public health.

219
00:42:33.560 --> 00:42:49.060
So this study, this pilot study set out to examine the effectiveness of a peer-to-peer. Mental health. First Aid intervention, named as the the Sentinel Project, where we designed a mental health app, and it was embedded, and the the

220
00:42:49.230 --> 00:42:51.120
the study was

221
00:42:51.350 --> 00:43:00.089
on the Sc. By the a couple of studies that are embedded in what is known as an asset-based approach to mental health care

222
00:43:00.130 --> 00:43:04.230
where we looked at communities that have been described as

223
00:43:04.300 --> 00:43:09.500
as low resources, and those who do not have access to public health facilities

224
00:43:09.520 --> 00:43:25.869
and decided that they could be. There could be some form of assets within those communities that can be leveraged to increase access to mental health care, and 2 of the things that came up was that people forecast more people, valued the relational aspect of life, and most of them.

225
00:43:26.080 --> 00:43:33.250
but based on the needs assessments we did. The relationship they had with each other

226
00:43:33.320 --> 00:43:42.890
was something they their social capital. Yeah, that's the word. Their social capital was considered a Major. a major asset that could be leveraged. So we embarked on this pilot study.

227
00:43:47.860 --> 00:43:56.309
Now, before I talk about the research design, I would like for us to just take a look at the specific health indicators in South Africa.

228
00:43:56.420 --> 00:44:05.090
Now, South Africa has a population of over 60.40 million people and More than half of them are mostly female.

229
00:44:05.440 --> 00:44:11.250
and with regards to medical insurance, only about 16.1%

230
00:44:11.270 --> 00:44:28.329
are, in short, and when we talk about the people who are. In short, here we're talking about it from the general population. Not just black Africans now. So life expectancy at birth in South Africa. For females seem to be higher than that of meals.

231
00:44:28.820 --> 00:44:38.040
The percentage of individuals who have access to the Internet are just about 41%. And I specifically inserted this because it was relevant to this study

232
00:44:38.240 --> 00:44:45.249
and also the second indicator we're looking at, which is alcohol and heavy episodic drinking

233
00:44:46.010 --> 00:44:51.419
which applies to the agenda was around 59%. Again, it is relevant to this study

234
00:44:52.360 --> 00:44:56.950
when we look at the fact that a lot of people in South Africa.

235
00:45:00.200 --> 00:45:08.399
So when we consider the fact that a lot of people in South Africa, especially people from previously marginalized communities, are not predisposed to

236
00:45:08.980 --> 00:45:13.170
seeking to seeking mental health care

237
00:45:13.430 --> 00:45:16.099
because of systemic

238
00:45:16.600 --> 00:45:29.750
discrimination and because of cultural in inappropriateness of some of the that has provided. Then we begin to understand why some studies have shown that the most

239
00:45:29.820 --> 00:45:35.080
commonly known coping mechanisms for most South Africans is alcohol, especially young people.

240
00:45:35.160 --> 00:45:43.819
Now, again, the data from the statistics are African mental health care indicators. This is the 2,016. Data also points to the fact that

241
00:45:44.040 --> 00:46:11.669
the mental health care space in South Africa is not quite nice at the moment. Now, with regards to Bates in the We in mental health hospitals we have just about 16.1. Then mental health care units in general hospitals is just about 0 point 8%. And this is for the entire country. Bet for mental health in general, hospitals is about 4.3%. And if you, if you compare this to the general populace, you will understand why people are predisposed

242
00:46:11.760 --> 00:46:14.980
to drinking and other forms of cooking mechanisms.

243
00:46:15.100 --> 00:46:20.829
Then, when we look at mental health, outpatient facilities, it's just about 0 point 1%.

244
00:46:20.920 --> 00:46:32.990
And then you compare that to a standardized suicide rates for both mills and of females. then it's around 24.4%. But for mills it seems quite higher.

245
00:46:33.220 --> 00:46:38.849
and the overall spending, which is about the the

246
00:46:39.200 --> 00:46:49.709
recognized and total spending for health care and household is around 10%. But in South Africa, if you look at it, it's only 1.4% can afford to pay for their health care.

247
00:46:54.610 --> 00:46:56.520
I keep going back. Sorry.

248
00:46:56.740 --> 00:47:04.330
Now, let's look at social gradients and help the variations in held across and within specific species. In South Africa.

249
00:47:04.570 --> 00:47:11.289
in South Africa we have the suburbs, and then we have the locations. The locations are the

250
00:47:11.390 --> 00:47:17.529
the shanty towns, and a place. We have a place like that in Cape Town.

251
00:47:17.940 --> 00:47:29.829
A child born in Kailica. Calicia is one of the sharks there, and Limpopo is a a province there. But Limpopo is a low-income province, so a child born in Kaleisha Limpogo.

252
00:47:29.850 --> 00:47:34.910
it's likely to die of HIV aids compared to those born in the southern suburbs or the Western key.

253
00:47:35.920 --> 00:47:51.489
A child born there is twice more likely to suffer from malnutrition 2 times less likely to have access to clean water and sanitation 3 times more likely to die of injuries 4 times as likely to live in a neighborhood with high number of fast-food restaurants and liquor stores

254
00:47:51.570 --> 00:47:57.420
5 times more likely to experience domestic violence 5 times as likely to use wood.

255
00:47:57.470 --> 00:48:03.539
a paraffin in cooking 6 times, very likely to drop out of school, or become incarcerated

256
00:48:03.580 --> 00:48:09.560
7 times more likely to have unemployed parent, and 10 times already likely to be born into poverty.

257
00:48:09.690 --> 00:48:26.009
And I think here this here speaks to the demographics. The sample from which our project was piloted. Now in terms of socioeconomic status, the emergence we seem to have a new crop of black African middle class in South Africa.

258
00:48:26.200 --> 00:48:40.450
But if you look at that, most of them still remain at the lowest from of the South African society. 70% of them earn 17% of the total annual income within South Africa. And I'm talking about people from previously marginalized communities. Here.

259
00:48:40.750 --> 00:48:48.230
10 million of them live on less than one dollars a day on the lies around eating grants. Now in South Africa, if you control for inflation

260
00:48:48.380 --> 00:48:58.739
and 45% on less than $2 per day. And if you look at well, this, most of these people, the the people from which this sample was drawn from there. You understand that?

261
00:48:58.780 --> 00:49:08.580
most of them are likely to die from HIV aids are likely to be exposed to violence, injuries, diabetes, and non-communicable disease

262
00:49:09.130 --> 00:49:23.409
and data from the satellite, from statistics of Africa indicates that the disability I just said is lost to alcohol. Alcohol use high body mass index, high blood pressure and unsafe sex is quite high compared to that of other countries.

263
00:49:24.440 --> 00:49:39.239
So this research project was a seven-week randomized control trial following the launch of our mobile app known as Sentinel Apps sentinel App had an app mobile app that was designed to help these young people

264
00:49:39.410 --> 00:50:05.100
maintain that manage their mental well-being. Why? Because most of them had reported, and these are the students. They withdrawn from a university from a a public university in South Africa. Most of them had complained that the the waiting time to be able to access psychotherapy was long, and some of them had also complained that because of or reported that because of cultural issues they were unable to access. they were not predisposed to seeking help

265
00:50:05.100 --> 00:50:18.740
mit

266
00:50:18.900 --> 00:50:25.770
the design was served as a tool to examine and the course and effect relationship between the introduction of the sentinel mobile app

267
00:50:25.780 --> 00:50:30.089
and I improve mental welding outcome among the participants.

268
00:50:30.160 --> 00:50:40.559
So we had a total number of 303 undergraduate students of all genders between 18 and then 35 years, and they were recruited and assigned to the sentinel mobile app

269
00:50:40.780 --> 00:50:49.629
and the Sentinel project, integrated Journaling. It had about 3 features. It had journaling and mood, coming features that were supposed to be used, or daily.

270
00:50:49.690 --> 00:50:51.749
And then the

271
00:50:51.920 --> 00:51:02.610
participants were also asked to include Am. Sessions, to have personal individualized sessions which included a 15Â min walk daily and 5Â min

272
00:51:02.630 --> 00:51:17.250
mit ctl, and to listen to a daily aff affirmation. So they were provided with affirmations and bin, or else so, and then we, the control group, were required to refrain from walking and from listening to affirmation. So one.

273
00:51:17.290 --> 00:51:27.219
and at the end of the project participants completed a short, open-ended questionnaire at pre-intervention, and then with 3, they they had a post intervention. At week 4 we had a follow up.

274
00:51:27.890 --> 00:51:40.929
so the study was supposed to be part of a physiology of Health classroom project where they were recruited from a second-year cohort. And while other assessments in the course we graded, this task was not graded, if and were

275
00:51:40.960 --> 00:51:50.840
because students were who were recruited for this this particular project, had some of them had reported that they have had a history of mental health

276
00:51:50.940 --> 00:52:00.270
breakdowns, but they could not access medical care. Now there is a different context to this 2 which was also part of the sociology of health class.

277
00:52:00.510 --> 00:52:06.959
In one of my classes, and this is just a digression from my original.

278
00:52:07.160 --> 00:52:20.590
It's like, in one of my my date, my my writing retreats as a Phd. Students. We had about 8 Phd. Students who were in odometry. All of us were in a dometry, and

279
00:52:20.630 --> 00:52:24.010
we hadn't we? It was this morning where we woke up

280
00:52:24.540 --> 00:52:28.419
to find to one of our colleagues living on the floor.

281
00:52:28.660 --> 00:52:38.450
We were at that writing clinic for about sorry we had that writing retreat for about 7 days, and for the 7 days throughout the Seventys we would wake up, sure that the

282
00:52:38.780 --> 00:52:40.320
at the bottom bunk

283
00:52:40.380 --> 00:52:45.010
and she will find her on the floor. So day 3 came. Everybody became worried.

284
00:52:45.130 --> 00:52:57.760
Then we moved her up and they would find her on the floor. So on further inquiry, we found out that she was having what I got to realize were panic attacks, depressive symptoms.

285
00:52:57.780 --> 00:53:24.150
but the interpretation and her own construction of what she was experienced, for of her symptoms was actually what led to this, and because I realized that when I started teaching, I invested that it had become quite common to find people who were experiencing depressive symptoms to claim that it was a spiritual calling. So when we inquired for that, we found out that most of them thought that she thought it was a spiritual calling.

286
00:53:24.270 --> 00:53:46.139
So, and I gave a task in my sociology of health class, and most of the students reported that their understanding of me, most of them were not familiar with mental health symptoms, or depressive symptoms, and others said did when we showed them the symptoms of depression or anxiety. Most of them said no, that they had experienced that. I think about 80% of the students

287
00:53:46.160 --> 00:54:03.300
in the post post intervention. Survey reported that they had experienced some of those symptoms, but they had interpretations of those symptoms. We're quite different from what we thought it would be. Most of them said it was a spiritual calling. It was a sign that they had spiritual calling.

288
00:54:03.300 --> 00:54:17.829
and while others said that they had that they they thought they were being. They were bewitched. Now, when we looked at the the variations, the racial variations in those constructs, we realized that the bulk of the the majority of the people, who said

289
00:54:17.860 --> 00:54:30.509
that their mental health our depressive symptoms with signs of spiritual calling, were black Africans, and it had nothing to do with socioeconomic status. Most of them could afford psychotherapy, but they had a different. It had

290
00:54:30.620 --> 00:54:52.200
their cultural definition of mental illness was completely different. And then we also had those who thought that they were bewitched. And there were also others who thought that psychotherapy Based on the experiences of their grandparents with the appetite government. That psychotherapy was a form of was always would always be reponized against black Africans in South Africa.

291
00:54:54.200 --> 00:55:06.610
So the study was a taking week trial of various mental health. First-state interventions for mental health and participants were allocated to either the control group, about 100 of them or the mental health condition, where we had about 200

292
00:55:06.650 --> 00:55:18.539
and 3 of them using their students, numbers participants in both study conditions were invited for briefing and consent, and individuals in the mental health. First, a condition was shown how to use the Sentinel Mobile app

293
00:55:18.540 --> 00:55:46.030
with specific journaling, peer affirmations and breathing exercise prompts and orders in the control group was shown how to dial up a peer accountability partner for a matrix supports. We had people in a different group who who also believed because we had the study, was theoretically framed with social capital theory. So we thought that most of them and Saudi have shown the role of social capital in managing mental well being among young people. So we had recruited peer accountability partners, and

294
00:55:46.080 --> 00:56:13.649
most of them were assigned to this pay accountability partners, and this feature was embedded within the sentinel app, and all they needed to do when they experienced depressive symptoms was to just dial someone and talk to the person. So we created a brief An open-ended question here, which consists of questions that were related to the effectiveness of the sent in a mobile app, and one of the questions we asked them was, Why does the mobile, the sentinel mobile app offer a good or bad user experience for you.

295
00:56:13.650 --> 00:56:36.759
but not to other group. Who do you think is most likely to use it? Do you think that the features meet your mental health needs? What were your pinpoint while you were using the mobile app and where you and where were you emotionally when you were using the app? And where were you also physically, in terms of access, and in what situations? So when we we also wanted to find out from them, they are so. The economic status, their financial status.

296
00:56:36.830 --> 00:56:41.250
and whether they would recommend the mobile app to their friends.

297
00:56:41.580 --> 00:56:46.870
And this is what the move the mobile app looks like. So it has the breath, the focus

298
00:56:47.000 --> 00:57:05.559
feature, it has the journaling feature. The journaling was the one that was mostly used by most by the participants, and then It also has where they dial for support here, so they could do a coming for exercise, breathing, exercise. They could talk to someone that they could write in their journal.

299
00:57:06.690 --> 00:57:16.010
So where all responses were hand-coded, and they reflected broad categories in their perceptions of the user experience and their state of mind during the program.

300
00:57:16.030 --> 00:57:20.060
So at pre-intervention, 56% of the participants in the control group

301
00:57:20.970 --> 00:57:27.240
described their mental well-being as improved compared to 90% of those in the Mental Health

302
00:57:27.270 --> 00:57:31.589
First Aid group who claimed that their mental health had not improved

303
00:57:31.650 --> 00:57:42.819
at post intervention. 7% of the control group continue to perceive the emotional well being in a positive manner compared to the other people who were in the mental health. First, Mental Health First Aid Group

304
00:57:42.970 --> 00:57:52.270
43% of the people in the control group, and 87% of those in the Mental Health first group maintained a positive outlook on their mental well-being during the follow up.

305
00:57:52.590 --> 00:58:03.720
But overall participants did indicate that they they enjoyed a significant optimism and positive outlook on life, and that their depressive symptoms had lowered at the end of the 18 weeks.

306
00:58:03.760 --> 00:58:10.280
and most people who were most of the participants who were exposed to positive, affirmative words from pay supporters demonstrated

307
00:58:10.290 --> 00:58:34.099
a significantly higher perceive social support than those who were not at the We at the with 3, because we had introduced it at with 3, and those at the control group at Week 4. Now based on the overall quality qualitative data. While journaling daily walks and reading exercises, health participants, affirmative words from payment was made the most significant difference. Thank you.

308
00:58:49.020 --> 00:58:53.830
Well. now, we have one more pre-recorded

309
00:58:55.770 --> 00:58:59.210
 presentation

310
00:59:01.650 --> 00:59:02.820
greetings.

311
00:59:06.230 --> 00:59:16.390
greetings. My name is Harold, Neighbors. I have the honor of introducing today's topic. Each member of the research team will make remarks during this presentation.

312
00:59:16.580 --> 00:59:24.580
The title of our presentation is black-white differences in goal-striving stress and depression. The Nashville Stress and Health Survey.

313
00:59:25.900 --> 00:59:38.159
When I started as a doctoral student in 1975, I had but one seemingly simple research question, and that question was, which group has the higher rate of mental illness, black Americans, or white Americans?

314
00:59:38.420 --> 00:59:51.669
The answer seemed obvious, because the minority status argument argued that blacks were thought to lead more stressful lives due to racism. That stress in turn was sought to damage mental health

315
00:59:52.060 --> 01:00:13.869
goal striving looked like a good indicator of the stressed black Americans face in their quest for the American dream. However, even though it was assumed that mental disorder should be higher for black Americans, the literature finds that mental disorder, especially depression, is higher for whites compared to black Americans

316
01:00:15.380 --> 01:00:28.349
in 2,008, sellers and neighbors wrote their first paper on goal, striving, stress. Focusing solely on black Americans, they found that high goal striving stress was associated with poor mental health.

317
01:00:28.940 --> 01:00:39.239
In a second paper, neighbors and sellers. 2,011 explored the relationship of goal-striving stress to mental health in both black and white Americans

318
01:00:39.460 --> 01:00:50.570
they found in contradiction to the minority status argument that high goal. Striving stress led to more psychological distress for whites than for black Americans.

319
01:00:50.770 --> 01:01:01.549
Similarly, the Angelus in 2020 found that, compared to their black peers, whites with high goal, striking stress reported more depressive symptoms.

320
01:01:01.950 --> 01:01:13.520
In this presentation we revisit these findings by replicating the analysis for blacks and whites with a more serious mental health outcome, major depressive disorder.

321
01:01:15.980 --> 01:01:33.559
goal-starting stress assesses the degree to which individuals feel they have achieved their ideal life. The goal striving stress measure employs the metaphor of a ten-step ladder to measure the subjective discrepancy between aspirations for and achievement of a hypothetical best life.

322
01:01:33.820 --> 01:01:44.510
Prior research shows that large discrepancies between the aspirations and achievements are associated with unhappiness, low self-esteem, and higher depressive symptoms

323
01:01:46.490 --> 01:02:04.769
based on our previous research, and a scoping review of the literature. The study hypotheses are one black of Americans will display, display a lower ambulance of major depressive disorder compared to white Americans. To the higher goal striving stress will be significantly related to Higher

324
01:02:04.930 --> 01:02:16.350
and Md. For both black and white Americans. and 3, the relationship between goal striving stress and Mvd. Will be stronger for white Americans than for black Americans.

325
01:02:19.010 --> 01:02:34.029
and we trusted our hypotheses with cross-sectional data from the national stress and health study. This is a probability sample of us born non-hispanic black and white working age adults who lived in Davidson County, Tennessee, between 2,011 and 2,014

326
01:02:36.990 --> 01:02:50.559
Mit. Ctl. And and our key outcome is lifetime major depressive disorder. Mdd. So during the in-home interview, researchers determine whether each respondent met clinical criteria for Mtv. Using the who city structured diagnostic interview, one.

327
01:02:50.580 --> 01:02:59.939
So the Who city is a computer-assisted, fully structured interview with pre-coded skip patterns that can be easily and quickly administered by survey interviews without clinical training.

328
01:03:02.050 --> 01:03:28.780
now focal, independent, variable is goalstreaming stress or Gss. And so we first calculated scaled scores with the formula shown on the slide, which basically waits the subjective gap between aspirations and achievements by the perceived likelihood of goal attainment and a level of disappointment.

329
01:03:28.840 --> 01:03:36.010
And we also test an alternative measure that collapses the scaled scores into ordinal groups of low medium and high.

330
01:03:38.200 --> 01:03:54.859
and in our multivariable analyses we also include controls for age, sex education, marital status, employment, status, household income and scales for major life events daily and lifetime discrimination. And I'm having to answer any specific questions you might have about our measures via email

331
01:03:57.010 --> 01:04:21.880
in these next 3 slides summarize our findings. So here in figure one, we first show that percentages of Nbb diagnoses are nearly twice as high for whites and blacks, or 39% versus 29 or 39% versus 20% respectively. So this finding supports hypothesis one, and is consistent with a large body of research on the so-called black, white, Mental health paradox which Alexis will discuss in more detail the following.

332
01:04:23.600 --> 01:04:37.270
and here, in Figure 2, we show percentages of black and white respondents who score low medium and high on goal striving stress. And very briefly, this figure basically shows that more white than black respondents score low on Gss. Which can be seen in those top 3

333
01:04:37.330 --> 01:04:42.880
bars, while more black than white respondents more high on Gss. Which can be seen on the bottom.

334
01:04:45.330 --> 01:04:56.169
Mr. And this third figure is our main finding. So this figure depicts the marginal probabilities of Mdd. On the Y-axis at varying levels of goals that I stress on the X-axis.

335
01:04:56.280 --> 01:05:08.850
and we also include separate slopes for black and white respondents. So this is essentially a figure for Mdd. Regressed on an interaction turn between race and goal striving stress, holding our covariance constant.

336
01:05:08.960 --> 01:05:30.000
and the left panel shows results for scale Gss. Scores, while the right panel depicts the same for the ordinal scores. So basically, this figure shows that while gold starving stress predicts Mdd. For whites and blacks, it's a stronger predictor of Mdd. For whites, and this is especially true at high levels of Gss. Which can be seen on the right panel.

337
01:05:30.170 --> 01:05:37.510
And so these patterns are also robust to our control measures as well as different regression techniques, including binary logistic and linear regression.

338
01:05:39.970 --> 01:05:50.030
Our analyses supported each of our 3 research hypotheses. Here Dr. Sellers and I are briefly going to situate our findings within the broader sociological literature.

339
01:05:50.040 --> 01:06:19.590
and while our study was descriptive, we will also suggest some possible mechanisms that could drive these relationships that should also be studied in future research. Our first finding that black Americans display a lower prevalence of Mdd. As compared with white Americans, aligns with prior research on the black, white Mental Health paradox, this body of literature was generally found that black people tend to report higher levels of psychological distress, but lower rates of mental disorder than whites.

340
01:06:19.650 --> 01:06:43.830
At the same time, when black people are diagnosed with mental disorders, their conditions are generally more severe and more persistent than those of whites. Scholars are still working to understand the black, white, mental health paradox. But one possible explanation is that there are methodological challenges to appropriately capturing the construct of depression across Rachel groups, making this paradox an artifact of measurement error.

341
01:06:44.370 --> 01:07:04.340
Our second, finding that higher Gss. Scores are significantly related to higher risk of Mdd. For black and white Americans aligns with stress theory which suggests that the combination of greater exposure to stressors and a lack of coping resources to mitigate those stressors will be associated with worse mental health outcomes.

342
01:07:04.450 --> 01:07:18.270
Since the 1970 S. The Us. Economy has undergone several major structural changes which have made it more difficult for individuals to complete their education, obtain well-paying jobs, purchase a home, and achieve the American dream.

343
01:07:18.300 --> 01:07:29.359
It is possible that the increased difficulty in meeting these milestones could contribute to the levels of goal striving stress and related poor mental health for the black and white respondents in our sample

344
01:07:29.420 --> 01:07:40.199
future future research in this area could explore the relationship between such structural changes, goals-driving stress and Mdd. And whether race moderates these relationships.

345
01:07:41.430 --> 01:07:56.379
Our third, finding that the relationship between gulf striving stress and Mdd. Is stronger for white Americans than black Americans aligns with mallet and colleagues. Framework of the relationship between the ideology, acquaintance and health.

346
01:07:56.440 --> 01:08:19.890
The Us. Is a racialized social system, and historically, social policies, economic conditions and social norms have systematically benefited whites over other minoritized racial groups prior to scholarship shows that the ideology of whiteness facilitates white people's expectation that they will achieve more social and economic success

347
01:08:19.890 --> 01:08:46.740
than people of color, and this expectation, combined with the long history of reaping the benefits of white privilege, may have inhibited white people from developing the same types of coping mechanisms and psychological resilience that minoritized racial groups are able to employ in the face of adversity. Indeed, prior scholarship shows that white people experience more emotional distress

348
01:08:46.740 --> 01:09:04.059
than they are more socially disadvantaged peers when exposed to the same stressors. Future scholarships should continue to investigate how the ideology of whiteness may contribute to white people's enhanced vulnerability to Mdd. In the wake of goal striving stress.

349
01:09:05.130 --> 01:09:17.570
So by way of our conclusions, we want to state that the impact of goal striving stress may be more painful for white Americans, due to higher expectations that their status goals should be achieved

350
01:09:17.700 --> 01:09:29.699
for black Americans. On the other hand, the pervasiveness of racism may result in developing a psychological outlook that protects against the damaging effects of blocked opportunity.

351
01:09:29.970 --> 01:09:48.270
Alternatively, our findings may stem from the challenges of measuring depression, using a questionnaire that eliminates completely clinical judgment. A highly structured instrument like the CD. Has no ability to adjust for cultural differences in vocabularies of distress

352
01:09:49.600 --> 01:10:05.019
to conclude structural determinants like racism play an important role in a development mental disorder. Among black Americans, however, just as important are the cognitive processes used to assign importance to structural exposures.

353
01:10:05.290 --> 01:10:16.050
It is this subjectivity of of personal experience, contextualized by racial identity, that provides a deeper understanding of black, white differences in mental health.

354
01:10:16.790 --> 01:10:26.910
Our findings disrupt popular narratives that too easily assume universal black disadvantage in comparison to whites. Thank you very much.

355
01:10:38.540 --> 01:10:41.010
So is the

356
01:10:41.710 --> 01:10:45.009
the distributed papers outers here.

357
01:10:46.160 --> 01:10:46.960
No.

358
01:10:47.370 --> 01:10:53.359
we can. They left the the handout available here. I'll give you.

359
01:10:53.680 --> 01:10:56.039
and I would like to

360
01:10:56.280 --> 01:11:03.740
 invite Christina to

361
01:11:03.830 --> 01:11:06.949
the the discussion. Please, Christina.

362
01:11:07.020 --> 01:11:10.039
come, come to?

363
01:11:13.380 --> 01:11:14.250
Yeah.

364
01:11:15.560 --> 01:11:18.299
if you have some questions.

365
01:11:21.260 --> 01:11:24.529
thank you very much for your wonderful presentations.

366
01:11:25.200 --> 01:11:28.610
And if the public have some questions, comments

367
01:11:29.540 --> 01:11:31.760
about the works presented here.

368
01:11:34.890 --> 01:11:39.670
 no.

369
01:11:41.050 --> 01:11:48.730
There are some. Then someone in the shadow. maybe

370
01:11:50.660 --> 01:11:51.619
any questions.

371
01:12:01.060 --> 01:12:01.970
No.

372
01:12:05.160 --> 01:12:08.780
Felicia, do you have some questions or comments?

373
01:12:11.820 --> 01:12:12.590
Hmm.

374
01:12:18.020 --> 01:12:18.900
no.

375
01:12:19.330 --> 01:12:21.059
No. One, have questions.

376
01:12:30.280 --> 01:12:36.940
So maybe I can have. So I don't have a question. I can make, maybe some comments.

377
01:12:41.370 --> 01:12:42.190
Okay.

378
01:12:43.760 --> 01:12:50.060
so, Felicia, I think that it's very interesting that you are so 1Â min I will take my

379
01:12:50.360 --> 01:12:51.580
notes.

380
01:13:04.290 --> 01:13:08.120
It would be a discussion of the public, because

381
01:13:08.370 --> 01:13:09.430
and

382
01:13:28.580 --> 01:13:32.850
maybe about the last one.

383
01:13:33.720 --> 01:13:48.910
I was thinking in the morning in our table, that maybe the explanation for some results of the the the studies where that black people has more lower, lower level of

384
01:13:48.940 --> 01:14:05.570
mental illness, mental illness. Maybe it was due to the lower respectances that was the result of the last one. No, and white people have higher expectances about their future about their

385
01:14:05.590 --> 01:14:09.419
and about the careers.

386
01:14:09.510 --> 01:14:19.299
and black people in general have low expectancy. So it would be an explanation, and I think that the last

387
01:14:19.380 --> 01:14:39.059
study confirmed it. No, and Felicia has the advantage that she is comparing the results about race with all racism, also with migration, because migration is linked also with a stress situation when you are living in another country.

388
01:14:39.250 --> 01:14:42.710
No, you are a new one, and you can.

389
01:14:42.830 --> 01:15:06.530
and be never fixed it with this new situation, where it's a stressing, stressing situation. So I think when we are only black living, your country is different when you are a black person living in another country, mainly in Europe, where people are predominantly white, so that this is a general comment, and maybe more ever than 150.

390
01:15:07.040 --> 01:15:22.699
Then the spectac is lower and and higher. I thought that maybe a Africa and the same that could be. What do you think about? Could you have a tiger resilience

391
01:15:22.830 --> 01:15:27.159
also that protect them from stress

392
01:15:27.350 --> 01:15:34.739
as they are suffering daily discrimination. They we developed some resistance.

393
01:15:35.020 --> 01:15:39.240
some resistance already is resilience. So

394
01:15:39.590 --> 01:15:45.830
so we to have a protection against this continuous, its position

395
01:15:46.510 --> 01:15:56.979
of aggressions and violence, and also a subtle discrimination. I don't know. What do you think about? You are the researchers.

396
01:15:57.260 --> 01:15:59.860
Maybe, if you can comment it.

397
01:16:05.920 --> 01:16:20.079
Felicia Boma Lazaridou: Yeah, I think you're absolutely right. I think that this concept of resilience not as an individual psychological construct, but as a collective

398
01:16:20.280 --> 01:16:23.720
Felicia Boma Lazaridou: endeavor has been

399
01:16:23.970 --> 01:16:31.820
Felicia Boma Lazaridou: something that has been necessary for a long time, and so I think that marginalized groups have

400
01:16:32.800 --> 01:16:47.899
Felicia Boma Lazaridou: take it as a as a given. You know, it's it's become quite normalized that people don't even think about resilience anymore. Even if we're talking about just recognizing racism for what it is. that can also be part of this resilient

401
01:16:48.980 --> 01:16:51.350
Felicia Boma Lazaridou: process as well with that.

402
01:16:51.380 --> 01:16:59.180
Felicia Boma Lazaridou: Naturally, it's like in that social support. community structures and and things like this.

403
01:16:59.640 --> 01:17:09.079
Felicia Boma Lazaridou:  yeah, I think also, one of the issues is also about trust. Why, I mean.

404
01:17:10.010 --> 01:17:17.970
Felicia Boma Lazaridou: And my colleague spoke about the the apartheid situation and the weaponizing of mental health.

405
01:17:18.100 --> 01:17:24.820
Felicia Boma Lazaridou: and the way in which then, you know, South African young people don't necessarily

406
01:17:25.150 --> 01:17:40.300
Felicia Boma Lazaridou: trust services to provide the care that they say they're going to provide, and that the same issues occur in the Us. Context in the German context.

407
01:17:40.310 --> 01:17:46.719
Felicia Boma Lazaridou: in the British context, and many various contexts whereby.

408
01:17:47.150 --> 01:18:09.219
Felicia Boma Lazaridou: even if you are experiencing mental health issues, even if you are experiencing mental illness issues. And you know that that's what you're experiencing. So you're not saying that it's a spiritual issue. But you know full well that it's a mental health issue. And you know if you had the privilege to be able to go to services and use them, that you would.

409
01:18:09.860 --> 01:18:20.049
Felicia Boma Lazaridou: But then you just don't trust that they're gonna treat you in the way that you will get better then that keeps you away, and may also account for

410
01:18:20.450 --> 01:18:27.699
Felicia Boma Lazaridou: why? Why, people do have in some cases greater levels of diagnosis. I wouldn't agree that that's

411
01:18:27.830 --> 01:18:35.800
Felicia Boma Lazaridou: in all cases, I think major depression is a bit of an a an in in the certain aspect.

412
01:18:35.880 --> 01:18:38.290
Felicia Boma Lazaridou: because it's

413
01:18:38.380 --> 01:18:42.989
Felicia Boma Lazaridou: one of those disorders that is

414
01:18:44.810 --> 01:18:51.149
Felicia Boma Lazaridou: I would argue, is is not as stigmatizing as some of the other disorders. So, for example, schizophrenia?

415
01:18:51.840 --> 01:18:56.779
Felicia Boma Lazaridou:  so you have. You do generally have

416
01:18:56.920 --> 01:19:00.169
Felicia Boma Lazaridou: higher rate of schizophrenia diagnosis a month.

417
01:19:00.230 --> 01:19:04.170
Felicia Boma Lazaridou: black people, for example, in comparison to white people.

418
01:19:04.320 --> 01:19:09.529
Felicia Boma Lazaridou: and the reasons for that. I mean, it's there are many

419
01:19:14.560 --> 01:19:20.290
come, come here. Otherwise she can. She can read and listen. You.

420
01:19:20.700 --> 01:19:21.480
Okay.

421
01:19:24.450 --> 01:19:34.879
I really enjoyed all of the presentations and giving me lots of things to think about. Even in terms of my own research. I actually had a question for the presenter who focused on South Africa.

422
01:19:35.010 --> 01:19:48.119
I was really struck by the fact that receiving social support seem to be the most effective in terms of those long-term positive mental health effects for the college students. So I was wondering if you could talk a little bit more about

423
01:19:48.190 --> 01:20:03.569
what that interaction was like. Did they just speak to someone about their problems that they advise them. I'm wondering what that social support actually meant in that context, because it was so powerful. I thought that was really amazing. So I just want you to talk a little bit about that.

424
01:20:08.610 --> 01:20:14.340
I apologize for not emphasizing the details of the social support.

425
01:20:14.830 --> 01:20:20.670
So in South Africa we have a concept of ubuntu. I don't know how many of you are aware of that.

426
01:20:20.920 --> 01:20:22.469
Some of you with that term.

427
01:20:22.990 --> 01:20:26.450
and it means

428
01:20:26.820 --> 01:20:28.590
literally that I am

429
01:20:28.610 --> 01:20:29.729
because you are

430
01:20:44.690 --> 01:20:45.700
all right.

431
01:20:46.030 --> 01:20:51.490
So in South Africa we have a term known as ubuntu

432
01:20:52.260 --> 01:20:53.510
and

433
01:20:54.780 --> 01:21:08.429
It's translated as I am because you are. and it emphasizes the relational community really and emphasizes the relational aspect of of social interaction.

434
01:21:08.610 --> 01:21:27.380
And for this project what we did was to pair people up with what was known as accountability partners. and these accountability partners were for context. This project was piloted during the lockdown. We started in 2,029,

435
01:21:27.390 --> 01:21:29.830
and then we piloted it during the lockdown.

436
01:21:30.160 --> 01:21:38.169
So, and one of the prerequisites for being an accountability partner was that you will have access to Internet data.

437
01:21:38.200 --> 01:21:53.639
and then you'll be able to the most of the accountability partner. Sorry, most of the okay. So we had peer mentors, right who were trained for 16 weeks, and then they became accountability partners to participants in the project, one

438
01:21:53.720 --> 01:22:16.400
now, in order for them to become participants. Accountability partners. They also had to take some some courses on counseling on how to spot mental mental health triggers and on how to offer emotional support. So they had 6 things, 6 key points of discussion each time they called the person of the we required to call the person at least once or twice a week.

439
01:22:16.660 --> 01:22:28.700
so they would call and ask how things were. Generally they were in France, but they were just accountability partners, and to find out from the participants in this project, whether they they were journaling

440
01:22:28.700 --> 01:22:48.260
because the first the first routine most of them had was, when you wake up in the morning. You journal, do your breeding exercise. Take a 15Â min walk for those in the control group and the other people who weren't required to do that. We just required to just call the accountability partner in the evenings and tell them what they had done the previous day.

441
01:22:48.410 --> 01:23:00.819
So the accountability partners would call them up and remind and find out from them way their way on a scale of one to 10. How are you emotionally? What happened today? So they'll probably recount what happened during the day

442
01:23:01.130 --> 01:23:02.750
and

443
01:23:02.780 --> 01:23:13.210
and after that they will ask them, Do you need any kind of support? Because it was important to us that people defined the kind of support they needed. We didn't think that it was okay to impose on them.

444
01:23:13.210 --> 01:23:39.800
because for most of them you would think that the problem was getting groceries where exactly they had missed most of. They were quite social before the lockdown, so they were just missing that ability to be able to interact with other people. I'll be able to talk to people. So we wanted them to. We wanted to peer mentors to find out from the participants what exactly support meant to them. So when you call them up, you ask, what do you need right now? Do you need emotional support.

445
01:23:39.800 --> 01:24:06.629
is it? food! What exactly do you need? And we found out that the quality was the quality of the conversation that made the difference, contrary to what people think he has. Poverty does contribute to to mental illness and depressive symptoms, and in South Africa we had a most of the this again, I think I forgot to mention this, that this most of the participants with drawn from the from the shacks, right? So it means that most of them do not earn up to

446
01:24:06.680 --> 01:24:15.570
10,000 runs. Most of their families do not end up to 10,000 runs a month, which is, I'm not sure 10,000 ones is less than

447
01:24:16.470 --> 01:24:17.690
less than

448
01:24:18.140 --> 01:24:47.710
3 $3,000. So so most of these people are from low income families, but quite surprisingly, we noticed that they were more interested in the quality of the conversation, and we had a bit of a an alcohol crisis in South Africa during the lock down where people were looting shops and stealing, and all of them some people were also making home homemade beers. We realized that most of the people there prior to being enrolled in the program

449
01:24:47.830 --> 01:24:56.100
where some of them were functioning alcoholics. But by the time they had left the program after the 18 weeks they

450
01:24:56.170 --> 01:25:15.440
came quiet. They some of them had withdrawn from alcohol, most of them. We're now adopting healthier coping mechanisms. We also found out, too, that because we created. We found that we asked them to construct and to to to define what support means to them.

451
01:25:15.440 --> 01:25:29.059
Most of them were quite open, so we allowed them to lead. So there were no power imbalances, and we paid people we we now what I don't know which is, which seems to be a limitation to the study now we paid, but we didn't pay people across genders

452
01:25:29.100 --> 01:25:40.050
the meals we're paid with males females. We're paired with females just because of stravoid ethical issues. But perhaps by the time we start with

453
01:25:40.110 --> 01:25:45.340
the second phase of the project will figure out how to work our wrong dos. Thank you.

454
01:25:51.050 --> 01:25:58.359
We have some minutes more. Would you like to somebody? Any other question or a comment

455
01:25:58.900 --> 01:26:01.350
even before the

456
01:26:01.720 --> 01:26:04.280
Zone Zone room?

457
01:26:04.910 --> 01:26:05.760
No.

458
01:26:06.570 --> 01:26:11.140
Was she that have you any other? No. so

459
01:26:11.570 --> 01:26:12.560
thank you.

460
01:26:12.810 --> 01:26:14.829
Thank you a lot. Soon.

461
01:26:15.210 --> 01:26:17.290
Next time, bye, bye.

