Department of Economics, School of Economics, Qingdao University, 62nd Kedazhi Road, Laoshan District, Qingdao, 266061, PR China.
Department of Economics, School of Economics, Qingdao University, 62nd Kedazhi Road, Laoshan District, Qingdao, 266061, PR China.
Public Health. 2021 May;194:202-207. doi: 10.1016/j.puhe.2021.03.015. Epub 2021 May 4.
The aim of this study was to examine the association of household debt and depressive mood among Chinese adults and to evaluate whether the association varies across types of debt.
This is a secondary data analysis of a nationally representative survey.
A prospective cohort study of participants was drawn from the China Family Panel Studies (CFPS). In total, 5135 participants had their depressive mood measured in the CFPS starting from 2014 to 2016 and had participated in the biennial survey. We used logistic regression models to identify predictors of depressive mood with debts, sociodemographic factors, health status factors and health behaviors factors. Adjusted for all measured covariates, we conducted an independent analysis for the experience of housing loans from formal institutions (HLFI), other loans from formal institutions (OLFI), housing loans from relatives and friends (HLRF) and other loans from relatives and friends (OLRF).
Multiple logistic regression analyses revealed that household debt was a significant risk factor for depressive mood (1.35; 95% confidence interval [CI], 1.19-1.54), after controlling for potential confounders. Independent analysis revealed that HLFI was not a significant predictor, while HLRF (1.26; 95% CI, 1.08-1.48), OLFI (1.45; 95% CI, 1.13-1.87) and OLRF (1.23; 95% CI, 1.02-1.47) remained significant risk factors.
OLFI, HLRF and OLRF were associated with depressive mood, while HLFI was not. To address the problem of individual depressive mood, its apparent association with household debt should be paid more attention.
本研究旨在探讨中国成年人家庭债务与抑郁情绪之间的关系,并评估这种关系是否因债务类型而异。
这是一项对全国代表性调查进行的二次数据分析。
本研究从中国家庭追踪调查(CFPS)中抽取了参与者的前瞻性队列研究。共有 5135 名参与者在 CFPS 中从 2014 年到 2016 年进行了抑郁情绪测量,并参加了两年一次的调查。我们使用逻辑回归模型来确定债务、社会人口因素、健康状况因素和健康行为因素与抑郁情绪的预测因素。在调整了所有测量的协变量后,我们对来自正规机构的住房贷款(HLFI)、来自正规机构的其他贷款(OLFI)、亲戚朋友的住房贷款(HLRF)和亲戚朋友的其他贷款(OLRF)分别进行了独立分析。
多因素逻辑回归分析显示,在控制了潜在混杂因素后,家庭债务是抑郁情绪的一个显著危险因素(1.35;95%置信区间[CI],1.19-1.54)。独立分析显示,HLFI 不是一个显著的预测因素,而 HLRF(1.26;95%CI,1.08-1.48)、OLFI(1.45;95%CI,1.13-1.87)和 OLRF(1.23;95%CI,1.02-1.47)仍然是显著的危险因素。
OLFI、HLRF 和 OLRF 与抑郁情绪有关,而 HLFI 则没有。为了解决个体抑郁情绪的问题,应该更加关注其与家庭债务的明显关联。