Abstract：
Socioeconomic status\' (SES) impact on depressive symptoms has been extensively examined; however, previous studies have generally used variable-centered approaches and cross-sectional designs. Therefore, this study explored the subtypes of depression and examined the degree of association between SES and latent transition probabilities. We used latent profile and latent transition analyses with the 2015 and 2018 waves of data from the China Health and Retirement Longitudinal Study (N = 4904). Three subtypes of depression were identified based on symptoms: severe symptom (SS), low symptom (LS), and sub-health (MS). The SS subtype had the highest probability of staying within the original subtype. Individuals in the MS subtype were more likely to move to the SS subtype than those in the LS subtype. The heterogeneity analysis also showed that the effect of SES on latent transition probabilities is heterogeneous to the satisfaction with their relationship with their children, as well as the number of children. Additionally, decision tree analysis found SES and gender can predict transitioning. These findings add to literature on the effects of SES on the heterogeneity of depression and have implications for depression screening and identifying individuals in need of targeted interventions.
摘要：
社会经济地位（SES）对抑郁症状的影响已得到广泛研究；然而，以前的研究通常使用以变量为中心的方法和横截面设计。因此,本研究探讨了抑郁症的亚型,并研究了SES与潜在转变概率之间的关联程度.我们对2015年和2018年中国健康与退休纵向研究(N=4904)的数据进行了潜在概况和潜在转变分析。根据症状确定了三种抑郁症亚型：严重症状（SS），低症状（LS），和亚健康（MS）。SS亚型具有最高的保持在原始亚型内的概率。MS亚型中的个体比LS亚型中的个体更可能移至SS亚型。异质性分析还表明，SES对潜在转移概率的影响对他们与子女关系的满意度是异质的，以及孩子的数量。此外,决策树分析发现SES和性别可以预测过渡。这些发现增加了有关SES对抑郁症异质性影响的文献，并对抑郁症筛查和识别需要针对性干预的个体具有意义。
