Wolfe Rebecca M, Beck-Felts Katie, Speakar Brianna, Spaulding William D
Department of Psychology, College of Arts and Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
The Psychology Department, College of Science & Mathematics, Rowan University, Glassboro, NJ 08028, USA.
Behav Sci (Basel). 2022 Jul 18;12(7):240. doi: 10.3390/bs12070240.
Health disparities associated with severe mental illness (SMI) have become a major public health concern. The disparities are not directly due to the SMI. They involve the same leading causes of premature death as in the general population. The causes of the disparities are therefore suspected to reflect differences in health-related behavior and resilience. As with other problems associated with SMI, studying non-clinical populations at risk for future onset provides important clues about pathways, from vulnerability to unhealthy behavior and compromised resilience, to poor health and reduced quality of life. The purpose of this study was to identify possible pathways in a sample of public university students. Four domains of biosystemic functioning with a priori relevance to SMI-related vulnerability and health disparities were identified. Measures reflecting various well-studied constructs within each domain were factor-analyzed to identify common sources of variance within the domains. Relationships between factors in adjacent domains were identified with linear multiple regression. The results reveal strong relationships between common factors across domains that are consistent with pathways from vulnerability to health disparities, to reduced quality of life. Although the results do not provide dispositive evidence of causal pathways, they serve as a guide for further, larger-scale, longitudinal studies to identify causal processes and the pathways they follow to health consequences.
与严重精神疾病(SMI)相关的健康差异已成为主要的公共卫生问题。这些差异并非直接由严重精神疾病导致。它们涉及与普通人群相同的过早死亡主要原因。因此,这些差异的原因被怀疑反映了与健康相关行为和恢复力的差异。与其他与严重精神疾病相关的问题一样,研究有未来发病风险的非临床人群,能为从易感性到不健康行为以及恢复力受损,再到健康状况不佳和生活质量下降的路径提供重要线索。本研究的目的是在公立大学学生样本中确定可能的路径。确定了与严重精神疾病相关的易感性和健康差异具有先验相关性的生物系统功能的四个领域。对反映每个领域内各种经过充分研究的结构的测量进行因子分析,以确定各领域内共同的方差来源。用线性多元回归确定相邻领域因素之间的关系。结果揭示了各领域共同因素之间的紧密关系,这些关系与从易感性到健康差异,再到生活质量下降的路径一致。虽然结果并未提供因果路径的确凿证据,但它们可为进一步的大规模纵向研究提供指导,以确定因果过程及其导致健康后果所遵循的路径。