Dataset Information

Long-Term Apparent Temperature, Extreme Temperature Exposure, and Depressive Symptoms: A Longitudinal Study in China.

ABSTRACT: Temperature is increasingly understood to impact mental health. However, evidence of the long-term effect of temperature exposure on the risk of depressive symptoms is still scarce. Based on the China Health and Retirement Longitudinal Study (CHARLS), this study estimated associations between long-term apparent temperature, extreme temperature, and depressive symptoms in middle-aged and older adults. Results showed that a 1 °C increase or decrease from optimum apparent temperature (12.72 °C) was associated with a 2.7% (95% CI: 1.3%, 4.1%) and 2.3% (95% CI: 1.1%, 3.5%) increased risk of depressive symptoms, respectively. This study also found that each percent increase in annual change in ice days, cool nights, cool days, cold spell durations, and tropical nights was associated with higher risk of depressive symptoms, with HRs (95%CI) of 1.289 (1.114-1.491), 2.064 (1.507-2.825), 1.315 (1.061-1.631), 1.645 (1.306-2.072), and 1.344 (1.127-1.602), respectively. The results also indicated that people living in northern China have attenuated risk of low apparent temperature. Older people were also observed at higher risk relating to more cool nights. Middle-aged people, rural residents, and people with lower household income might have higher related risk of depressive symptoms due to increased tropical nights. Given the dual effect of climate change and global aging, these findings have great significance for policy making and adaptive strategies for long-term temperature and extreme temperature exposure.

SUBMITTER: Jin J

PROVIDER: S-EPMC9962105 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Long-Term Apparent Temperature, Extreme Temperature Exposure, and Depressive Symptoms: A Longitudinal Study in China.

Jin Jianbo J Xu Zhihu Z Cao Ru R Wang Yuxin Y Zeng Qiang Q Pan Xiaochuan X Huang Jing J Li Guoxing G

International journal of environmental research and public health 20230212 4

Temperature is increasingly understood to impact mental health. However, evidence of the long-term effect of temperature exposure on the risk of depressive symptoms is still scarce. Based on the China Health and Retirement Longitudinal Study (CHARLS), this study estimated associations between long-term apparent temperature, extreme temperature, and depressive symptoms in middle-aged and older adults. Results showed that a 1 °C increase or decrease from optimum apparent temperature (12.72 °C) was ...[more]

PMID: 36833923

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Project description:BackgroundChildhood health significantly influences mental well-being in later life, but this relationship remains underexplored in China. This study aims to investigate the long-term associations between childhood health status and depressive symptoms in older adults, emphasizing the need for early interventions to promote lifelong mental health.MethodsWe utilized data from a nationally representative survey conducted across 28 provinces of China, comprising 15,581 adults aged 45 years and older. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale. Logistic regression and decision tree models were applied to examine the association between childhood health and depressive symptoms in later life.ResultsThe overall prevalence of depressive symptoms among participants was 33.75%. Those reporting excellent or very good childhood health had a lower prevalence (29.99%), while those with poor childhood health reported a markedly higher rate (47.57%). After adjusting for demographics and lifestyle factors, poor childhood health was associated with a higher likelihood of depressive symptoms (AOR 1.83, 95% CI 1.56-2.14, P < 0.0001). Other risk factors included aged 65-74 years (AOR 1.23, 95% CI 1.10-1.38, P = 0.0009), female gender (AOR 2.01, 95% CI 1.78-2.28, P < 0.0001), and never drinking (AOR 1.24, 95% CI 1.11-1.38, P = 0.0012). Protective factors included tertiary education (AOR 0.45, 95% CI 0.32-0.65, P = 0.0030), higher BMI (BMI 24-27.9 kg/m2: AOR 0.72, 95% CI 0.60-0.87 kg/m2, P = 0.0033; BMI ≥ 28 kg/m2: AOR 0.69, 95% CI 0.56-0.85 kg/m2, P = 0.0030), sleep duration of seven or more hours (7-10 h sleep: AOR 0.52, 95% CI 0.48-0.57, P < 0.0001; ≥10 h sleep: AOR 0.50, 95% CI 0.43-0.58, P < 0.0001), never smoked (AOR 0.77, 95% CI 0.68-0.86, P < 0.0001), and urban residency (AOR 0.57, 95% CI 0.50-0.64, P < 0.0001). The decision tree model highlighted key factors associated with depressive symptoms, including childhood health, non-communicable diseases, sleep duration, residency, alcohol consumption, and smoking status.ConclusionsOur findings suggest that childhood health may influence mental well-being in later life. Promoting healthy behaviors from early childhood could help reduce depression risk in older age. However, the reliance on self-reported data and a cross-sectional design limit causal interpretation. Preventive care and targeted interventions for vulnerable children should be prioritized to improve long-term mental health outcomes.

Dataset Information

Long-Term Apparent Temperature, Extreme Temperature Exposure, and Depressive Symptoms: A Longitudinal Study in China.

Publications

Long-Term Apparent Temperature, Extreme Temperature Exposure, and Depressive Symptoms: A Longitudinal Study in China.

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