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Association of Air Pollution with Depressive Symptoms in the Elderly and Effect Modification by Cognitive Performance

机译:空气污染与老年人抑郁症状的关系以及认知能力的影响

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Background: Research regarding the effects of air pollution on depressive symptoms are limited and results are conflicting. Objective: Associations between long-term air pollution exposure and depressive symptoms in the elderly were assessed and whether mild cognitive impairment (MCI) modifies the association of air pollution with depression. Methods: We included 777 elderly women from the SALIA study (age 66-79). Self-reported depressive symptoms were evaluated by the CES-D test score ≥ 16 as a dichotomous outcome. Cognitive performance was assessed by the CERAD-Plus test battery. Air pollutant concentrations were assigned to home addresses by ESCAPE land-use regression models. We also estimated road traffic noise exposure as 24h-mean at facade points. Our adjusted logistic regression models included age, body mass index, smoking habit, environmental tobacco exposure at home, educational level, urban/rural living, physical activity, cardiovascular disease, respiratory diseases, diabetes and the CERAD score as covariates. Results: The prevalence of depressive symptoms and MCI were 15.7% and 59.8%, respectively. In pooled sample, we observed significant associations between an interquartile range (IQR) increase of PM10 (OR= 1.37; 95%CI: 1.07-1.76), PM2.5 (OR= 1.74; 95%CI: 1.20-2.53), N02 (OR= 1.43; 95%CI: 1.04-1.94) and NOx (OR= 1.58; 95%CI: 1.14-2.17) with the presence of depressive symptoms. Women with MCI had more air pollution-induced depressive symptoms: PM10 [OR =1.51 (95% CI: 1.10, 2.07) pint= 0.074], PM2.5 [OR =1.91 (95% CI: 1.20, 3.05) pint=0.073], N02 [OR =1.73 (95% CI: 1.38, 2.64) pint=0.020] and NOx [OR =1.78 (95% CI: 1.17, 2.71) pint=0.009]. We found no associations for women without MCI. No associations were found for coarse fraction of PM, PM2.5 absorbance and noise exposure. Conclusions: Air pollution might affect depressive mood and elderly with MCI might be more prone to develop depression when additionally exposed to air pollution.
机译:背景:关于空气污染对抑郁症状的影响的研究有限,且结果相互矛盾。目的:评估老年人长期暴露于空气污染与抑郁症状之间的关联,并评估轻度认知障碍(MCI)是否能改善空气污染与抑郁的关联。方法:我们纳入了来自SALIA研究的777名老年妇女(66-79岁)。自我报告的抑郁症状通过CES-D测试得分≥16评估为二分结果。认知能力通过CERAD-Plus测试电池进行评估。通过ESCAPE土地利用回归模型将空气污染物浓度分配给家庭住址。我们还估计了在立面点的道路交通噪声暴露平均值为24h。我们调整后的逻辑回归模型包括年龄,体重指数,吸烟习惯,家庭环境烟草暴露,教育水平,城市/农村生活,体育活动,心血管疾病,呼吸系统疾病,糖尿病和CERAD评分作为协变量。结果:抑郁症状和MCI的患病率分别为15.7%和59.8%。在合并的样本中,我们观察到PM10(OR = 1.37; 95%CI:1.07-1.76),PM2.5(OR = 1.74; 95%CI:1.20-2.53),N02的四分位数间距(IQR)增加之间存在显着关联(OR = 1.43; 95%CI:1.04-1.94)和NOx(OR = 1.58; 95%CI:1.14-2.17)并伴有抑郁症状。患有MCI的女性有更多的空气污染引起的抑郁症状:PM10 [OR = 1.51(95%CI:1.10,2.07)品脱= 0.074],PM2.5 [OR = 1.91(95%CI:1.20,3.05)品脱= 0.073 ],NO 2 [OR = 1.73(95%CI:1.38,2.64)品脱= 0.020]和NOx [OR = 1.78(95%CI:1.17,2.71)品脱= 0.009]。我们发现没有MCI的女性没有任何协会。未发现PM,PM2.5吸光度和噪声暴露的相关性。结论:空气污染可能会影响抑郁情绪,而MCI老年人如果再暴露于空气污染中,则更容易患上抑郁症。

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