Li Guannan, Tampubolon Gindo, Maharani Asri, Tu Chenglin
Global Development Institute, School of Environment, Education and Development, The University of Manchester, Manchester, United Kingdom.
Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Front Public Health. 2024 Dec 23;12:1435263. doi: 10.3389/fpubh.2024.1435263. eCollection 2024.
This study explores the associations between four macro-level factors-Economic Development (ED), Economic Inequality (EI), Governmental Willingness and capacities to invest in Public Health (GWPH) and Public Health-Related Infrastructures (PHRI)-and three mental health indicators: depressive symptoms, cognitive function and life satisfaction, among middle-aged and older adults in China.
We obtained individual-level data from the Harmonised China Health and Retirement Longitudinal Survey (H-CHARLS) 2018 and acquired our provincial-level data from the Chinese Statistical Yearbook. Two-level linear mixed models are used to examine the associations. Supplementary analyses are carried out to test the robustness of the study.
There are provincial variations in macro-level factors. Depressive symptoms and cognitive functions also vary across provinces, whereas life satisfaction does not. We find that ED contributes to better depressive status. EI contributes to worse cognitive functions and life dissatisfaction. GWPH and PHRI are not associated with mental health.
The study suggests that macro-level ED contributes to better depressive status. EI and potential systematic inequality lead to worsened cognitive functions and life dissatisfaction. It is too soon to generalise whether institutional factors like GWPH and PHRI are good or bad for mental health, but the current public health system in China does not adequately support mental and cognitive health.
本研究探讨经济发展(ED)、经济不平等(EI)、政府投资公共卫生的意愿和能力(GWPH)以及公共卫生相关基础设施(PHRI)这四个宏观层面因素与中国中老年人群体的三种心理健康指标(抑郁症状、认知功能和生活满意度)之间的关联。
我们从2018年中国健康与养老追踪调查(H-CHARLS)获得个体层面数据,并从《中国统计年鉴》获取省级层面数据。采用二级线性混合模型来检验这些关联。进行补充分析以检验研究的稳健性。
宏观层面因素存在省级差异。抑郁症状和认知功能在各省也存在差异,而生活满意度不存在省际差异。我们发现经济发展有助于改善抑郁状况。经济不平等会导致认知功能变差和生活不满意。政府投资公共卫生的意愿和能力以及公共卫生相关基础设施与心理健康无关。
该研究表明宏观层面的经济发展有助于改善抑郁状况。经济不平等和潜在的系统性不平等会导致认知功能恶化和生活不满意。现在就概括政府投资公共卫生的意愿和能力以及公共卫生相关基础设施等制度因素对心理健康是好是坏还为时过早,但中国目前的公共卫生系统对心理和认知健康的支持不足。