Raeann Leal, Rhonda Spencer-Hwang, W. L. Beeson, Michael Paalani, H. Dos Santos
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引用次数: 1
摘要
本研究利用 COVID-19 大流行期间的 2020 年行为危险因素监测系统(BRFSS)(n = 391 750)研究了睡眠、运动和抑郁与冠心病(CHD)之间的潜在关系。CHD定义为自我报告的CHD或心肌梗塞(MI)。描述性统计用于报告变量的频率和百分比。逻辑回归模型用于评估生活方式行为(单独和效应修正)与冠心病之间的潜在关系,并对抑郁受试者与非抑郁受试者进行了额外的敏感性分析比较。在模型中评估了睡眠和运动的潜在影响。睡眠不足和不运动的受试者更有可能报告患有冠心病(睡眠 OR = 1.09;95% CI:1.06, 1.12);(运动 OR = 2.00;95% CI:1.95, 2.05),但交互项不显著。自我报告的抑郁症患者与冠心病相关(OR = 1.34;95% CI:1.30,1.38)。在抑郁症患者中,睡眠不足和不运动表现出更强的相关性(睡眠 OR = 1.19;95% CI:1.13,1.25);(运动 OR = 2.13;95% CI = 2.03,2.23)。研究结果表明,睡眠、运动和自我报告的冠心病之间存在关联,这种关联在抑郁症患者中可能会被放大,而 COVID-19 的流行可能会进一步加剧这种关联。
Lifestyle Factors and Heart Health: Exploring Effect Modification Using Behavioral Risk Factor Surveillance System Survey Data
This study examined the potential relationship between sleep, exercise, and depression with coronary heart disease (CHD) using the 2020 Behavioral Risk Factor Surveillance System (BRFSS) (n = 391 750) during the COVID-19 pandemic. CHD was defined as the presence of self-reported CHD or myocardial infarction (MI). Descriptive statistics were used to report variable frequencies and percentages. Logistic regression models were used to assess potential relationships between lifestyle behaviors (individually and for effect modification) and CHD, with additional sensitivity analysis comparing depressed subjects with non-depressed subjects. Sleep and exercise were assessed in the model for potential effect modification. Those with insufficient sleep and those who did not exercise were more likely to report CHD ( sleep OR = 1.09; 95% CI: 1.06, 1.12); ( exercise OR = 2.00; 95% CI: 1.95, 2.05), though the interaction term was non-significant. Those with self-reported depression were found to be associated with CHD (OR = 1.34; 95% CI: 1.30, 1.38). Among depressed individuals, insufficient sleep and no exercise exhibited a stronger association ( sleep OR = 1.19; 95% CI: 1.13,1.25); ( exercise OR = 2.13; 95% CI = 2.03, 2.23). Results support an association between sleep, exercise, and self-report of CHD, and this association is potentially magnified among depressed individuals, which may be further exacerbated by the COVID-19 pandemic.