Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, 2213 McElderry St., 2nd floor, Baltimore, MD 21215, USA.
J Urban Health. 2012 Feb;89(1):19-35. doi: 10.1007/s11524-011-9625-y.
Social stability is an understudied construct in public health that offers a useful framework for understanding social disadvantage across multiple domains. This study investigated prevalence and patterns of cooccurrence among a hypothesized set of social stability characteristics (housing, residential transition, employment, income, incarceration, and partner relationship), evaluated the possibility of underlying subgroups of social stability, and investigated the association between social stability and health outcomes. Data were from comprehensive interviews with primarily African-American low income urban women and their female social network members (n = 635) in Baltimore. Analysis included exploratory statistics, latent class analysis, and latent class regression accounting for clustered data using Stata and Mplus software. Social stability characteristics cooccurred in predictable directions, but with heterogeneity. Respondents had an average of three stability characteristics (S.D.: 1.4). Latent class analysis identified two classes of social stability: low (25%) and high (75%), with the higher class less likely to experience each of the included indicators. In controlled models, higher social stability was significantly correlated with social network characteristics and neighborhood integration. Higher social stability was independently associated with reduced risk of chronic illness (AOR: 0.54, 95% C.I.: 0.31, 0.94), mental illness history (AOR: 0.24, 95% CI: 0.15, 0.39), and current depressive symptoms (AOR: 0.35, 95% C.I.: 0.22, 0.57). The current set of social stability characteristics appears to represent a single construct with identifiable underlying subgroups and associated health disparities. Findings suggest a need for comprehensive policies and programs that address structural determinants of cooccurring social disadvantage and help to mitigate the likely spiral effect of instability experiences.
社会稳定性是公共卫生领域中一个研究不足的概念,它为理解多个领域的社会劣势提供了一个有用的框架。本研究调查了一组假设的社会稳定性特征(住房、居住迁移、就业、收入、监禁和伴侣关系)之间共同出现的流行率和模式,评估了社会稳定性潜在亚组的可能性,并调查了社会稳定性与健康结果之间的关联。数据来自巴尔的摩的主要是非洲裔美国低收入城市女性及其女性社交网络成员(n=635)的综合访谈。分析包括探索性统计、潜在类别分析和潜在类别回归,使用 Stata 和 Mplus 软件对聚类数据进行了处理。社会稳定性特征以可预测的方向共同出现,但存在异质性。受访者平均有三个稳定性特征(标准差:1.4)。潜在类别分析确定了两种社会稳定性类别:低(25%)和高(75%),较高的类别不太可能经历包括在内的每个指标。在控制模型中,较高的社会稳定性与社交网络特征和邻里融合显著相关。较高的社会稳定性与慢性疾病风险降低独立相关(AOR:0.54,95%置信区间:0.31,0.94)、精神病史(AOR:0.24,95%置信区间:0.15,0.39)和当前抑郁症状(AOR:0.35,95%置信区间:0.22,0.57)。当前这组社会稳定性特征似乎代表了一个单一的结构,具有可识别的潜在亚组和相关的健康差异。研究结果表明,需要制定全面的政策和方案,解决共同出现的社会劣势的结构决定因素,并帮助减轻不稳定经历的可能的螺旋效应。