Liu Xiangliang, Li Yuguang, Chang Yu, Wang Yao, Li Wei, Chen Naifei, Cui Jiuwei
The First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China.
BMC Psychiatry. 2024 Dec 27;24(1):953. doi: 10.1186/s12888-024-06424-5.
Many studies have indicated that adverse cardiovascular health (CVH) behaviors are associated with an elevated risk of depression. However, the dose-response relationship between the two and the relative contributions of individual CVH components to depression risk remain unclear.
We utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2015 and 2018. Quantified CVH was assessed using the Life's Simple 8 (LE8) instrument, depression symptoms were measured through the Patient Health Questionnaire-9 (PHQ-9), and a weighted logistic regression, restrictive cubic splines (RCS), subgroup analyses on sociodemographic factors, weighted quantile sum (WQS) regression were employed to evaluate the association between CVH and depression.
In a fully adjusted logistic regression model, for each unit increase in LE8 score, there was a corresponding decrease of 0.07 in depression score (β=-0.07, 95%CI -0.07 to -0.06, p < 0.001). The RCS model indicated a significant non-linear relationship between CVH and depression. Subgroup analyses revealed that the association between CVH and depression was strongest among women, ethnic minorities, individuals with low education levels, and those living in poverty. WQS regression analysis indicated that tobacco exposure and sleep health accounted for more than 60% of the cumulative effects of CVH indicators on depression.
This study indicates a significant negative correlation between overall cardiovascular health measured by LE8 scores and depression. Prioritizing interventions targeting lifestyle modifications to alleviate the burden of depression in public health initiatives is crucial.
许多研究表明，不良心血管健康（CVH）行为与抑郁症风险升高有关。然而，两者之间的剂量反应关系以及各个CVH组成部分对抑郁症风险的相对贡献仍不清楚。
我们利用了2015年至2018年进行的美国国家健康与营养检查调查（NHANES）的数据。使用生活简单8项（LE8）工具评估量化的CVH，通过患者健康问卷9项（PHQ-9）测量抑郁症状，并采用加权逻辑回归、限制性立方样条（RCS）、社会人口学因素亚组分析、加权分位数和（WQS）回归来评估CVH与抑郁症之间的关联。
在完全调整的逻辑回归模型中，LE8得分每增加一个单位，抑郁得分相应降低0.07（β=-0.07，95%CI -0.07至-0.06，p<0.001）。RCS模型表明CVH与抑郁症之间存在显著的非线性关系。亚组分析显示，CVH与抑郁症之间的关联在女性、少数族裔、低教育水平个体和生活贫困者中最为强烈。WQS回归分析表明，烟草暴露和睡眠健康占CVH指标对抑郁症累积影响的60%以上。
本研究表明，用LE8得分衡量的总体心血管健康与抑郁症之间存在显著的负相关。在公共卫生举措中优先开展针对生活方式改变以减轻抑郁症负担的干预措施至关重要。
