关键词: China age-period-cohort depression life course urban–rural disparity

Mesh : Humans China / epidemiology Depression / epidemiology Aged Male Female Middle Aged Longitudinal Studies Age Factors Aged, 80 and over Rural Population / statistics & numerical data Urban Population / statistics & numerical data Cohort Effect East Asian People

来  源:   DOI:10.3389/fpubh.2024.1383512   PDF(Pubmed)

Abstract:
UNASSIGNED: To investigate the effects of age, period, and cohort on the trends of depression; and to examine the influence of these three temporal effects on residential disparities in depression.
UNASSIGNED: Using data from the China Health and Retirement Longitudinal Study (CHARLS) during 2011 to 2020, involving 77,703 respondents aged 45 years old and above. The measurement of depressive symptoms was the score of 10-question version of the Center for Epidemiologic Studies Depression Scale (CES-D 10). The hierarchical age-period-cohort cross-classified random effects models were conducted to examine trends in depressive symptoms related to age, period and cohort.
UNASSIGNED: CES-D scores increased with age and slightly decreased at older age. The cohort trends mostly increased except for a downward trend among those born in 1950s. As for the period effect, CES-D scores decreased gradually from 2011 to 2013 followed by a upward trend. Rural residents were associated with higher level of depression than those live in urban area. These residence gaps in depression enlarged before the age of 80, and then narrowed. The urban-rural disparities in CES-D scores gradually diminished across cohorts, while the corresponding period-based change in urban-rural gaps was not significant.
UNASSIGNED: When age, period, cohort factors are considered, the age effects on depression dominated, and the period and cohort variations were relatively small. The residence disparities in depression reduced with successive cohorts, more attention should be paid to the worsening depression condition of younger cohorts in urban areas.
摘要:
为了研究年龄的影响,period,并对抑郁症的趋势进行队列研究;并研究这三种时间效应对抑郁症居民差异的影响。
使用2011年至2020年中国健康与退休纵向研究(CHARLS)的数据,涉及77,703名45岁及以上的受访者。抑郁症状的测量是流行病学研究中心抑郁量表(CES-D10)的10个问题的得分。进行分层年龄-时期-队列交叉分类随机效应模型,以检查与年龄相关的抑郁症状的趋势,时期和队列。
CES-D评分随年龄增长而增加,年龄较大时略有下降。除了1950年代出生的人的下降趋势外,队列趋势大多增加。至于周期效应,CES-D评分从2011年到2013年逐渐下降,随后呈上升趋势。农村居民的抑郁水平高于城市居民。这些居住在抑郁症中的差距在80岁之前扩大,然后缩小。CES-D得分的城乡差异在不同队列中逐渐缩小,而城乡差距相应的阶段性变化并不显著。
当年龄,period,考虑队列因素,年龄对抑郁症的影响占主导地位,时期和队列差异相对较小。抑郁症的居住差异随着连续队列的增加而减少,应该更多地关注城市地区年轻人群的抑郁状况恶化。
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