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。

IF 3.8 4区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Roberto Benoni, Anna Sartorello, Chiara Malesani, Hamilton Cardoso, Izilda Chaguruca, Moisés Domingos Sande Matope, Giovanni Putoto, Carlo Giaquinto, Michela Gatta
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引用次数: 0

摘要

目的:本研究旨在描述贝拉市(莫桑比克)感染(AYAHIV)和未感染(AYAHIV-)的青少年和年轻人的社会关系环境,并评估它如何影响他们的心理健康。方法:于2023年7 - 8月采用三水平评估的横断面研究。社会经济因素通过特设问卷进行评估,心理健康通过症状表-90 (SCL-90)进行评估,社会关系网络使用社会网络分析(SNA)进行评估。SNA参数包括:平均度中心性、接近中心性、中间中心性、特征向量中心性和传递性。采用稳健线性回归模型评估SNA参数与SCL-90评分之间的相关性。结果:有352例(F: 50.7%), 341例(96.9%)同时完成社会量表和SCL-90。支持网络(supSN)和压力网络(strSN)的平均度中心性分别为1.44 (SD 0.77)和0.49 (SD 0.39)。AYAHIV-的平均度中心性高于AYALHIV(0.009)。支持性边缘在个体和母亲之间更为常见(65.1%),而压力边缘在一个(24.3%)或两个(18.8%)邻居之间更为常见。女性的supSN差值为0.27 (SD 0.24),显著低于男性(0.33,SD 0.27, p = 0.017)。SCL-90平均得分为1.1分(SD 0.5)。supSN平均度中心性每增加1 SD, SCL-90的平均度中心性就会减少0.14 SD (p = 0.014)。SCL-90得分显著低于男性(p = 0.045)和高社会经济群体的asa (p = 0.009)。结论:两组被证明在社会关系网络,妇女和AYALHIV方面更脆弱。更好的相互联系的社会支持网络与更好的心理健康(即更低的SCL-90分数)相关。因此,改善社区内的支持对于改善所有人的精神健康至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
CiteScore
10.70
自引率
1.40%
发文量
57
审稿时长
19 weeks
期刊介绍: The Journal of Epidemiology and Global Health is an esteemed international publication, offering a platform for peer-reviewed articles that drive advancements in global epidemiology and international health. Our mission is to shape global health policy by showcasing cutting-edge scholarship and innovative strategies.
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