Anakwe Adaobi, Xian Hong, BeLue Rhonda, Xaverius Pamela
Department of Health Sciences, University of Missouri, Columbia, MO, United States.
Department of Epidemiology and Biostatistics, Saint Louis University, St. Louis, MO, United States.
Front Reprod Health. 2022 Sep 13;4:955018. doi: 10.3389/frph.2022.955018. eCollection 2022.
Life course perspectives suggest that optimizing men's health before conception is requisite to equitably improve population health, an area of increasing public health focus. Although scholarship on the social determinants of health (SDOH) suggests that men's health and health behaviors do not occur in a vacuum, preconception health studies have not explicitly examined how these factors influence men's preconception health.
To identify latent classes of men's preconception health and the role of the SDOHs in predicting class membership.
Pooled data from the 2011-2019 male file of the National Survey of Family Growth were analyzed ( = 10,223). Latent class analysis (LCA) was used to identify distinct classes of men's preconception health. Eight manifest variables were used to fit latent class models. A classify-analyze approach was subsequently used to create a preconception health phenotype ( outcome variable. SDOHs (exposure variable) were assessed in four domains (rural/urban residence, health access, socioeconomic status, and minority/immigrant status) to predict class membership. Survey-weighted multinomial regression models were fitted to examine the association between the exposure and the outcome.
Three unique s were identified (lowest risk (69%), substance users (22.9%), and sexual risk-takers (8.1%) from the LCA model. Health access, socioeconomic status, and minority/immigrant status were significant predictors of class membership but not rural/urban residence. Sexual risk takers were more likely to be uninsured (aOR: 1.25, 95% CI 1.02, 1.52), college-educated (aOR: 1.94 95% CI: 1.34, 2.79), and non-Hispanic Black (aOR: 1.99 95% CI: 1.55, 2.54) while substance users were more likely to have unstable employment (aOR: 1.23 95% CI:1.04, 1.45) and have a high school degree or higher (aOR 1.48 95% CI: 1.15, 1.90) than men in the lowest risk category.
Social determinants may impact men's preconception health in ways that are not conventionally understood. These findings raise important questions about how preconception health interventions should be created, tailored, and/or retooled. Specifically, studies that examine the sociocultural and political contexts underpinning the relationship between social class, masculinity, and men's preconception health are needed to provide nuanced insights on factors that shape these outcomes.
生命历程观点表明,在受孕前优化男性健康对于公平改善人口健康至关重要,这是一个日益受到公共卫生关注的领域。尽管关于健康的社会决定因素(SDOH)的学术研究表明,男性健康和健康行为并非孤立存在,但孕前健康研究尚未明确考察这些因素如何影响男性的孕前健康。
确定男性孕前健康的潜在类别以及SDOH在预测类别归属中的作用。
对2011 - 2019年全国家庭成长调查男性档案中的汇总数据进行分析(n = 10,223)。使用潜在类别分析(LCA)来识别男性孕前健康的不同类别。八个显性变量用于拟合潜在类别模型。随后采用分类 - 分析方法创建一个孕前健康表型(结局变量)。在四个领域(农村/城市居住、医疗服务可及性、社会经济地位和少数族裔/移民身份)评估SDOH(暴露变量)以预测类别归属。拟合调查加权多项回归模型以检验暴露与结局之间的关联。
从LCA模型中识别出三个独特类别(最低风险组(69%)、物质使用者组(22.9%)和性风险承担者组(8.1%))。医疗服务可及性、社会经济地位和少数族裔/移民身份是类别归属的显著预测因素,但农村/城市居住不是。性风险承担者比最低风险组的男性更可能未参保(调整后比值比:1.25,95%置信区间1.02,1.52)、受过大学教育(调整后比值比:1.94,95%置信区间:1.34,2.79)且为非西班牙裔黑人(调整后比值比:1.99,95%置信区间:1.55,2.54),而物质使用者比最低风险组的男性更可能就业不稳定(调整后比值比:1.23,95%置信区间:1.04,1.45)且拥有高中及以上学历(调整后比值比1.48,95%置信区间:1.15,1.90)。
社会决定因素可能以传统上未被理解的方式影响男性的孕前健康。这些发现引发了关于如何创建、调整和/或改进孕前健康干预措施的重要问题。具体而言,需要开展研究,考察社会阶层、男性气质与男性孕前健康之间关系的社会文化和政治背景,以便对影响这些结果的因素提供细致入微的见解。