Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Demography. 2021 Aug 1;58(4):1547-1574. doi: 10.1215/00703370-9368980.
Self-rated health (SRH) is ubiquitous in population health research. It is one of the few consistent health measures in longitudinal studies. Yet, extant research offers little guidance on its longitudinal trajectory. The literature on SRH suggests several possibilities, including SRH as (1) a more fixed, longer-term view of past, present, and anticipated health; (2) a spontaneous assessment at the time of the survey; (3) a result of lagged effects from prior responses; (4) a function of life course processes; and (5) a combination of the preceding. Different perspectives suggest different longitudinal models, but evidence is lacking about which model best captures SRH trajectory. Using data from the National Longitudinal Study of Adolescent to Adult Health and the National Longitudinal Survey of Youth, we employ structural equation modeling to correct for measurement error and identify the best-fitting, theoretically guided models describing SRH trajectories. Results support a hybrid model that combines the lagged effect of SRH with the enduring perspectives, fitted with a type of autoregressive latent trajectory (ALT) model. This model structure consistently outperforms other commonly used models and underscores the importance of accounting for lagged effects combined with time-invariant effects in longitudinal studies of SRH. Interestingly, comparisons of this latent, time-invariant autoregressive model across gender and racial/ethnic groups suggest that there are differences in starting points but less variability in SRH trajectories from early life into adulthood.
自评健康 (SRH) 在人群健康研究中无处不在。它是纵向研究中为数不多的几个一致的健康衡量标准之一。然而,现有研究对其纵向轨迹提供的指导很少。关于 SRH 的文献提出了几种可能性,包括 SRH 作为 (1) 对过去、现在和预期健康的更固定、更长期的看法;(2) 调查时的自发评估;(3) 先前反应滞后效应的结果;(4) 生命历程过程的函数;以及 (5) 前面的组合。不同的观点表明不同的纵向模型,但缺乏关于哪种模型最能捕捉 SRH 轨迹的证据。我们使用来自青少年到成人健康纵向研究和青年纵向调查的数据,运用结构方程模型来纠正测量误差,并确定最适合、具有理论指导的模型来描述 SRH 轨迹。结果支持一种混合模型,该模型将 SRH 的滞后效应与持久观点相结合,并采用一种自回归潜轨迹 (ALT) 模型。这种模型结构始终优于其他常用模型,并强调在自评健康的纵向研究中,结合滞后效应和时不变效应进行建模的重要性。有趣的是,在性别和种族/族裔群体之间比较这种潜在的、时不变的自回归模型表明,起点存在差异,但从早期到成年的 SRH 轨迹的可变性较小。