Abstract：
BACKGROUND: Fine particulate matter (PM2.5) has been implicated in various health concerns. However, a comprehensive understanding of the specific PM2.5 components affecting depression remains limited.
METHODS: This study conducted a Cox proportional-hazards model to assess the effect of PM2.5 components on the incidence of depression based on the China Health and Retirement Longitudinal Study (CHARLS). Participants with 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) score of 10 or higher were classified as exhibiting depression.
RESULTS: Our findings demonstrated a significant positive correlation between long-term exposure to black carbon (BC), sulfate (SO42-), and organic matter (OM) components of PM2.5 and the prevalence of depression. Per 1 Interquartile Range (IQR) increment in 3-year average concentrations of BC, OM, and SO42- were associated with the hazard ratio (HR) of 1.54 (95 % confidence intervals (CI): 1.44, 1.64), 1.24 (95%CI: 1.16, 1.34) and 1.25 (95%CI: 1.16, 1.35). Notably, females, younger individuals, those with lower educational levels, urban residents, individuals who were single, widowed, or divorced, and those living in multi-story houses exhibited heightened vulnerability to the adverse effects of PM2.5 components on depression.
CONCLUSIONS: Firstly, pollutant data is confined to subjects\' fixed addresses, overlooking travel and international residence history. Secondly, the analysis only incorporates five fine particulate components, leaving room for further investigation into the remaining fine particulate components in future studies.
CONCLUSIONS: This study provides robust evidence supporting the detrimental impact of PM2.5 components on depression. The identification of specific vulnerable populations contributes to a deeper understanding of the underlying mechanisms involved in the relationship between PM2.5 components and depression.
METHODS: This study conducted a Cox proportional-hazards model to assess the effect of PM2.5 components on the incidence of depression based on the China Health and Retirement Longitudinal Study (CHARLS). Participants with 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) score of 10 or higher were classified as exhibiting depression.
RESULTS: Our findings demonstrated a significant positive correlation between long-term exposure to black carbon (BC), sulfate (SO42-), and organic matter (OM) components of PM2.5 and the prevalence of depression. Per 1 Interquartile Range (IQR) increment in 3-year average concentrations of BC, OM, and SO42- were associated with the hazard ratio (HR) of 1.54 (95 % confidence intervals (CI): 1.44, 1.64), 1.24 (95%CI: 1.16, 1.34) and 1.25 (95%CI: 1.16, 1.35). Notably, females, younger individuals, those with lower educational levels, urban residents, individuals who were single, widowed, or divorced, and those living in multi-story houses exhibited heightened vulnerability to the adverse effects of PM2.5 components on depression.
CONCLUSIONS: Firstly, pollutant data is confined to subjects\' fixed addresses, overlooking travel and international residence history. Secondly, the analysis only incorporates five fine particulate components, leaving room for further investigation into the remaining fine particulate components in future studies.
CONCLUSIONS: This study provides robust evidence supporting the detrimental impact of PM2.5 components on depression. The identification of specific vulnerable populations contributes to a deeper understanding of the underlying mechanisms involved in the relationship between PM2.5 components and depression.
摘要：
背景：细颗粒物（PM2.5）与各种健康问题有关。然而,对影响抑郁症的具体PM2.5成分的全面了解仍然有限。
方法：本研究基于中国健康与退休纵向研究（CHARLS）进行了Cox比例风险模型，以评估PM2.5成分对抑郁症发病率的影响。流行病学研究抑郁量表（CESD-10）评分为10或更高的参与者被归类为表现出抑郁。
结果：我们的研究结果表明，长期暴露于黑碳（BC）之间存在显着正相关。硫酸盐(SO42-)，PM2.5的有机质（OM）成分与抑郁症的患病率。每1个四分位数范围（IQR）增加3年平均BC浓度，OM,和SO42-与1.54的风险比（HR）相关（95％置信区间（CI）：1.44，1.64），1.24（95CI：1.16，1.34）和1.25（95CI：1.16，1.35）。值得注意的是,女性,年轻的个人，那些教育水平较低的人，城市居民,单身的人，寡妇,或者离婚,居住在多层房屋中的人对PM2.5成分对抑郁症的不利影响表现出更高的脆弱性。
结论：首先，污染物数据仅限于受试者的固定地址，俯瞰旅行和国际居住历史。其次,该分析仅包含五种细颗粒成分，为在未来的研究中进一步研究剩余的细颗粒成分留下了空间。
结论：这项研究提供了有力的证据支持PM2.5成分对抑郁症的有害影响。识别特定的脆弱人群有助于更深入地了解PM2.5成分与抑郁症之间关系的潜在机制。
方法：本研究基于中国健康与退休纵向研究（CHARLS）进行了Cox比例风险模型，以评估PM2.5成分对抑郁症发病率的影响。流行病学研究抑郁量表（CESD-10）评分为10或更高的参与者被归类为表现出抑郁。
结果：我们的研究结果表明，长期暴露于黑碳（BC）之间存在显着正相关。硫酸盐(SO42-)，PM2.5的有机质（OM）成分与抑郁症的患病率。每1个四分位数范围（IQR）增加3年平均BC浓度，OM,和SO42-与1.54的风险比（HR）相关（95％置信区间（CI）：1.44，1.64），1.24（95CI：1.16，1.34）和1.25（95CI：1.16，1.35）。值得注意的是,女性,年轻的个人，那些教育水平较低的人，城市居民,单身的人，寡妇,或者离婚,居住在多层房屋中的人对PM2.5成分对抑郁症的不利影响表现出更高的脆弱性。
结论：首先，污染物数据仅限于受试者的固定地址，俯瞰旅行和国际居住历史。其次,该分析仅包含五种细颗粒成分，为在未来的研究中进一步研究剩余的细颗粒成分留下了空间。
结论：这项研究提供了有力的证据支持PM2.5成分对抑郁症的有害影响。识别特定的脆弱人群有助于更深入地了解PM2.5成分与抑郁症之间关系的潜在机制。
