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Mapping the psychosocial network of Kenyan adolescents

The pivotal role of loneliness and gender-specific pathways

Bibliographic Data

ID22091251
AuthorsFei-Rui Ni (Wenzhou City People's Hospital), Zhenxing Huang (0000-0002-2764-2674, Wenzhou City People's Hospital), Zhen-Xing Huang, Yun Chen (0000-0001-5123-1624, Wenzhou City People's Hospital, corresponding author)
Year2025
Volume13
Pages1642144-1642144
Publication date2025-10-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1642144
PMID41246073
OpenAlexW4415684481
LanguageEN
References cited28

Background Loneliness is increasingly recognized as a critical yet understudied determinant of adolescent mental health, particularly in low- and middle-income countries. While its prevalence and impact have been well-documented in Western contexts, little is known about its role within the psychosocial networks of youth in many African contexts, where social structures and gender norms may diverge sharply. Methods We conducted a cross-sectional network analysis using data from 1,445 Kenyan secondary school students. Participants completed validated self-report measures of depression, anxiety, loneliness, social support, optimism, happiness, gratitude, and key demographic variables. Mixed graphical models were employed to examine the global structure and centrality of variables within the adolescent psychosocial network. Gender-stratified analyses and network comparison tests were used to identify sex-specific differences in network architecture and key pathways. Results Loneliness emerged as the most central psychological variable, directly bridging depressive symptoms, diminished wellbeing, and social support. Gender-stratified networks revealed notable divergences: the positive association between depression and loneliness was significant for girls (edge weight = 0.15) but was not significant appeared in the male network (a statistically significant difference, p = 0.040), while peer support more strongly buffered loneliness for boys. Furthermore, family support was more central for girls, whereas support from friends was more central for boys. Conclusions These findings highlight loneliness as a pivotal and gender-contingent node within adolescent psychosocial networks in Kenya. Network-based approaches reveal unique pathways of distress and resilience, underscoring the need for contextually and gender-sensitive interventions

Biopsychosocial model · Distress · Kenya · Loneliness · Psychological distress · Psychosocial · Social support · Health disparities and outcomes · Mental Health Research Topics · Resilience and Mental Health

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