Internalizing Symptoms and Social Support Among Kenyan Adolescents: A Network Analysis

Venturo‐Conerly, Katherine E.; Wasil, Akash R.; Tl, Osborn; Weisz,; Pj, Jones

doi:10.31234/osf.io/f8czn

Cited by 5 publications

(10 citation statements)

References 41 publications

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“…This study is, to the best of our knowledge, the first attempt of its kind to combine wellbeing elements and psychopathology in a network approach with SSA youths. The recent network research of child and adolescent psychopathology has been conducted almost exclusively with Western adolescent populations [ 52 , 57 – 60 ] with only a few studies in the Global South [ 61 – 63 ]. More research focused on SSA youths is necessary since there are scientific benefits of cross-cultural research and culture affects psychopathology and psychological wellbeing.…”

Section: Discussionmentioning

confidence: 99%

Adolescent psychopathology and psychological wellbeing: a network analysis approach

Campbell

Osborn

2021

BMC Psychiatry

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Background The extent to which psychological wellbeing may play a preventive and therapeutic role in the development and maintenance of adolescent emotional disorders depends, in part, on the nature of the overlap between these two constructs. We estimated network analysis to examine the relationship between adolescent psychopathology (measured by depression and anxiety symptoms) and psychological wellbeing (measured by happiness, optimism, social support, perceived control, and gratitude). Methods This was a cross-sectional study with a large community sample of Kenyan adolescents (N = 2192, aged 13–18). Network analyses were conducted to examine the topology, stability, centrality, and bridge nodes of a network of psychopathology and psychological wellbeing measures. Results Two distinct community clusters emerged, one for psychopathology nodes and another for wellbeing nodes, suggesting that these are two distinct but connected concepts. Central and bridge nodes of the wellbeing and psychopathology network were identified. The most central nodes in the network were family provides emotional help and support and self-blame; the strongest negative edges between psychopathology and psychological wellbeing were depressed mood—I love life and irritability—I am a joyful person; the main bridge nodes were family helps me and I can talk to family about problems. Conclusions Our findings expand understanding of the relationship between psychopathology and wellbeing in an understudied population and are suggestive of how psychological wellbeing can inform psychopathological treatment and preventive efforts in low-income regions such as those in Sub Saharan Africa.

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Section: Discussionmentioning

confidence: 99%

Adolescent psychopathology and psychological wellbeing: a network analysis approach

Campbell

Osborn

2021

BMC Psychiatry

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“…Furthermore, peer-reported aggressive behaviours in school have been associated with depression 25 . Network analysis revealed that the lack of social support, especially the support from friends, correlates with adolescents’ internalizing symptoms, including depression 16 .…”

Section: Discussionmentioning

confidence: 99%

“…We adopted the “goldbricker” procedure in the R package of “network tools” to investigate the problematic topological overlap between variables. If two items are topologically connected with the other items without differential associations, it means these two items are the same, and one of them can be removed, or it is plausible to combine those two via principal component analysis (PCA) 16 .…”

Section: Methodsmentioning

confidence: 99%

Depressive Symptoms and Negative Experiences in School: A Network Analysis

Huang

Macek

2021

Preprint

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BACKGROUNDSNegative experiences in school predict youth’s depression. However, the dynamic interactions of depressive symptoms with adolescents’ negative experiences in school remain unclear. This study aimed to applied network analysis to detect the complex relationships between early adolescents’ depressive symptoms and negative experiences in school.METHODSWe adopted the data from a Chinese national survey conducted in 2018. Eight hundred ninety-seven adolescents from 10 to 15 years old were included. The measurements included an 8-item depression screener scale and a 14-item scale assessing negative experiences in school.RESULTSThe centrality analysis suggested that Chinese adolescents’ core depressive symptoms were negative affections and negative cognition that “ I felt that everything I did was an effort. “ Regarding “negative experiences in the school,” the most central nodes were poor academic performance and peer relationships. The bridge-centrality results showed negative emotions in school and difficulties in peer relationships were significantly linked to depression.CONCLUSIONNegative emotional experiences in school and peer relationships were the two most important factors linked to depression.

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“…This study is, to the best of our knowledge, the rst attempt of its kind to combine wellbeing elements and psychopathology in a network approach with SSA youths. The recent network research of child and adolescent psychopathology has been conducted almost exclusively with Western adolescent populations [49][50][51][52][53] with only a few studies in the Global South [54][55][56]. Research focused on SSA youths is necessary since there are scienti c bene ts of cross-cultural research and culture affects psychopathology and psychological wellbeing.…”

Section: Discussionmentioning

confidence: 99%

Adolescent psychopathology and psychological wellbeing: A network analysis approach

Osborn¹,

Campbell²

2020

Preprint

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Background The extent to which psychological wellbeing may play a preventive and therapeutic role in the development and maintenance of adolescent emotional disorders depends, in part, on the nature of the overlap between these two constructs. We used network analysis to examine the relationship between adolescent psychopathology (measured by depression and anxiety symptoms) and psychological wellbeing (measured by happiness, optimism, social support, perceived control, and gratitude). Methods This was a cross-sectional study with a in a large community sample of Kenyan adolescents (N = 2,192, ages 13-to-18). Network analyses was conducted to examine the topology, stability, centrality, and bridge nodes of a network of psychopathology and psychological wellbeing measures. Results Two distinct community clusters emerged, one for psychopathology nodes and another for wellbeing nodes, suggesting that these are two distinct but connected concepts. Central and bridge nodes of the wellbeing and psychopathology network are identified. The most central nodes in the network were general gratefulness and worry; the strongest negative edges between psychopathology and psychological wellbeing were depressed mood—I love life and irritability—I am a joyful person; the main bridge nodes were optimistic about future and special person around for me. Conclusions Our findings expand understanding of the relationship between wellbeing and psychopathology in an understudied population and are suggestive of how psychological wellbeing can inform psychopathological treatment/preventive efforts in low-income regions such as those in Sub Saharan Africa.

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Internalizing Symptoms and Social Support Among Kenyan Adolescents: A Network Analysis

Cited by 5 publications

References 41 publications

Adolescent psychopathology and psychological wellbeing: a network analysis approach

Adolescent psychopathology and psychological wellbeing: a network analysis approach

Depressive Symptoms and Negative Experiences in School: A Network Analysis

Adolescent psychopathology and psychological wellbeing: A network analysis approach

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