Balog Piroska, Falger Paul R J, Szabó Gábor, Rafael Beatrix, Székely Andrea, Konkolÿ Thege Barna
Institute of Behavioural Sciences, Semmelweis University.
Department of Psychiatry and Neuropsychology, Maastricht University.
Health Psychol. 2017 Aug;36(8):740-748. doi: 10.1037/hea0000495. Epub 2017 Apr 3.
The aim of this study was to examine the concurrent effects of vital exhaustion and depression on the development of cardiovascular disease (CVD) morbidity.
The sample of this representative, 4-year longitudinal study comprised 2,725 participants (43.56% male, Mage = 58.39 years, SDage = 14.39 years). Individuals being treated for hypertension (n = 277) and cardio- and/or cerebrovascular incidents (n = 131) for the first time during the follow-up period were compared with participants never treated for CVD (n = 2,317). Joint principal component analysis was conducted on the items of the vital exhaustion (shortened Maastricht Questionnaire) and depression (shortened Beck Depression Inventory) measures simultaneously resulting in 3 components representing depression, vital exhaustion, and sleep difficulties. The role of these 3 components in predicting the incidence of CVD morbidity was examined using logistic regression-controlling for traditional risk factors such as sex, age, education, body mass index, smoking, alcohol use, and physical inactivity.
In the multivariate analyses, vital exhaustion (OR = 1.20, CI = 1.03-1.39, p = .021) and sleep-related problem (OR = 1.16, CI = 1.00-1.33, p = .044) scores proved to be independent predictors of treatment initiation for hypertension, while sleep-related difficulties predicted CVD event incidence (OR = 1.27, CI = 1.06-1.52, p = .009). However, depressive symptomatology factor scores were not associated with either cardiovascular outcome in the regression analyses.
Vital exhaustion and depressive symptomatology showed a different pattern in their relationship with CVD incidence, with vital exhaustion being the more robust predictor. These results suggest that the 2 constructs are not identical and that vital exhaustion deserves consideration when planning and implementing interventions to reduce CVD risk. (PsycINFO Database Record
本研究旨在探讨活力耗竭和抑郁对心血管疾病(CVD)发病的共同影响。
这项具有代表性的4年纵向研究样本包括2725名参与者(男性占43.56%,年龄中位数Mage = 58.39岁,标准差SDage = 14.39岁)。将随访期间首次接受高血压治疗(n = 277)以及首次发生心血管和/或脑血管事件(n = 131)的个体与从未接受过CVD治疗的参与者(n = 2317)进行比较。对活力耗竭(简化的马斯特里赫特问卷)和抑郁(简化的贝克抑郁量表)测量项目同时进行联合主成分分析,得出代表抑郁、活力耗竭和睡眠困难的3个成分。使用逻辑回归分析,在控制性别、年龄、教育程度、体重指数、吸烟、饮酒和身体活动不足等传统风险因素的情况下,检验这3个成分在预测CVD发病风险中的作用。
在多变量分析中,活力耗竭得分(比值比OR = 1.20,置信区间CI = 1.03 - 1.39,p = 0.021)和睡眠相关问题得分(OR = 1.16,CI = 1.00 - 1.33,p = 0.044)被证明是高血压治疗起始的独立预测因素,而睡眠相关困难可预测CVD事件发生率(OR = 1.27,CI = 1.06 - 1.52,p = 0.009)。然而,在回归分析中,抑郁症状因子得分与任何心血管结局均无关联。
活力耗竭和抑郁症状在与CVD发病率的关系上呈现出不同模式,活力耗竭是更强有力的预测因素。这些结果表明这两个概念并不相同,在规划和实施降低CVD风险的干预措施时,活力耗竭值得考虑。(PsycINFO数据库记录)