Roberto Benoni, Anna Sartorello, Chiara Malesani, Hamilton Cardoso, Izilda Chaguruca, Moisés Domingos Sande Matope, Giovanni Putoto, Carlo Giaquinto, Michela Gatta
{"title":"社会关系环境如何影响莫桑比克感染和不感染艾滋病毒的青少年和年轻人的心理健康:一项社会网络分析研究。","authors":"Roberto Benoni, Anna Sartorello, Chiara Malesani, Hamilton Cardoso, Izilda Chaguruca, Moisés Domingos Sande Matope, Giovanni Putoto, Carlo Giaquinto, Michela Gatta","doi":"10.1007/s44197-025-00417-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to describe the social-relational context of adolescents and young adults living with (AYALHIV) and without HIV (AYAHIV-) in the city of Beira (Mozambique) and to assess how it can impact their mental health.</p><p><strong>Methods: </strong>A cross-sectional study with three-level assessment was conducted between July and August 2023. Socio-economic factors were assessed through an ad-hoc questionnaire, mental health through symptom Checklist-90 (SCL-90), and social-relational networks using social network analysis (SNA). SNA parameters included were: average degree centrality, closeness centrality, betweenness centrality, eigenvector centrality and transitivity. Robust linear regression model was used to assess association between SNA parameters and SCL-90 scores.</p><p><strong>Results: </strong>AYAs involved were 352 (F: 50.7%) and 341 (96.9%) completed both sociogram and SCL-90. Average degree centrality was 1.44 (SD 0.77) for supportive networks (supSN) and 0.49 (SD 0.39) for stressful ones (strSN). The average degree centrality was higher in AYAHIV- compared to AYALHIV (0.009). Supportive edges occurred more often between the individual and their mother (65.1%), while stressful edges between one (24.3%) or two (18.8%) neighbourhood people. The supSN betweenness was 0.27 (SD 0.24) in females and was significantly lower compared to males (0.33, SD 0.27, p = 0.017). The mean score at the SCL-90 was 1.1 (SD 0.5). An increase in 1 SD of the average degree centrality of the supSN was associated with a decrease of 0.14 SD at the SCL-90 (p = 0.014). The SCL-90 score was significantly lower in males (p = 0.045) and in AYAs from the high socio-economic group (p = 0.009).</p><p><strong>Conclusion: </strong>Two groups proved to be more vulnerable with regard to socio-relational networks, women and AYALHIV. Better interconnected social support networks were associated with better mental health (i.e. lower scores on the SCL-90). Improving support within the community is therefore important for achieving better mental well-being for all.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":"15 1","pages":"81"},"PeriodicalIF":3.8000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12151933/pdf/","citationCount":"0","resultStr":"{\"title\":\"How Social-Relational Context Impacts the Mental Health of Adolescent and Young Adults Living with and Without HIV in Mozambique: A Social Network Analysis Study.\",\"authors\":\"Roberto Benoni, Anna Sartorello, Chiara Malesani, Hamilton Cardoso, Izilda Chaguruca, Moisés Domingos Sande Matope, Giovanni Putoto, Carlo Giaquinto, Michela Gatta\",\"doi\":\"10.1007/s44197-025-00417-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study aims to describe the social-relational context of adolescents and young adults living with (AYALHIV) and without HIV (AYAHIV-) in the city of Beira (Mozambique) and to assess how it can impact their mental health.</p><p><strong>Methods: </strong>A cross-sectional study with three-level assessment was conducted between July and August 2023. Socio-economic factors were assessed through an ad-hoc questionnaire, mental health through symptom Checklist-90 (SCL-90), and social-relational networks using social network analysis (SNA). SNA parameters included were: average degree centrality, closeness centrality, betweenness centrality, eigenvector centrality and transitivity. Robust linear regression model was used to assess association between SNA parameters and SCL-90 scores.</p><p><strong>Results: </strong>AYAs involved were 352 (F: 50.7%) and 341 (96.9%) completed both sociogram and SCL-90. Average degree centrality was 1.44 (SD 0.77) for supportive networks (supSN) and 0.49 (SD 0.39) for stressful ones (strSN). The average degree centrality was higher in AYAHIV- compared to AYALHIV (0.009). Supportive edges occurred more often between the individual and their mother (65.1%), while stressful edges between one (24.3%) or two (18.8%) neighbourhood people. The supSN betweenness was 0.27 (SD 0.24) in females and was significantly lower compared to males (0.33, SD 0.27, p = 0.017). The mean score at the SCL-90 was 1.1 (SD 0.5). An increase in 1 SD of the average degree centrality of the supSN was associated with a decrease of 0.14 SD at the SCL-90 (p = 0.014). The SCL-90 score was significantly lower in males (p = 0.045) and in AYAs from the high socio-economic group (p = 0.009).</p><p><strong>Conclusion: </strong>Two groups proved to be more vulnerable with regard to socio-relational networks, women and AYALHIV. Better interconnected social support networks were associated with better mental health (i.e. lower scores on the SCL-90). Improving support within the community is therefore important for achieving better mental well-being for all.</p>\",\"PeriodicalId\":15796,\"journal\":{\"name\":\"Journal of Epidemiology and Global Health\",\"volume\":\"15 1\",\"pages\":\"81\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12151933/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Epidemiology and Global Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s44197-025-00417-7\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Epidemiology and Global Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s44197-025-00417-7","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
How Social-Relational Context Impacts the Mental Health of Adolescent and Young Adults Living with and Without HIV in Mozambique: A Social Network Analysis Study.
Purpose: This study aims to describe the social-relational context of adolescents and young adults living with (AYALHIV) and without HIV (AYAHIV-) in the city of Beira (Mozambique) and to assess how it can impact their mental health.
Methods: A cross-sectional study with three-level assessment was conducted between July and August 2023. Socio-economic factors were assessed through an ad-hoc questionnaire, mental health through symptom Checklist-90 (SCL-90), and social-relational networks using social network analysis (SNA). SNA parameters included were: average degree centrality, closeness centrality, betweenness centrality, eigenvector centrality and transitivity. Robust linear regression model was used to assess association between SNA parameters and SCL-90 scores.
Results: AYAs involved were 352 (F: 50.7%) and 341 (96.9%) completed both sociogram and SCL-90. Average degree centrality was 1.44 (SD 0.77) for supportive networks (supSN) and 0.49 (SD 0.39) for stressful ones (strSN). The average degree centrality was higher in AYAHIV- compared to AYALHIV (0.009). Supportive edges occurred more often between the individual and their mother (65.1%), while stressful edges between one (24.3%) or two (18.8%) neighbourhood people. The supSN betweenness was 0.27 (SD 0.24) in females and was significantly lower compared to males (0.33, SD 0.27, p = 0.017). The mean score at the SCL-90 was 1.1 (SD 0.5). An increase in 1 SD of the average degree centrality of the supSN was associated with a decrease of 0.14 SD at the SCL-90 (p = 0.014). The SCL-90 score was significantly lower in males (p = 0.045) and in AYAs from the high socio-economic group (p = 0.009).
Conclusion: Two groups proved to be more vulnerable with regard to socio-relational networks, women and AYALHIV. Better interconnected social support networks were associated with better mental health (i.e. lower scores on the SCL-90). Improving support within the community is therefore important for achieving better mental well-being for all.
期刊介绍:
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