Choi Hyun-Sook, Kim Kyung-Ae
College of Nursing, Kyungdong University, Wonju 26495, Korea.
Healthcare (Basel). 2021 Oct 15;9(10):1378. doi: 10.3390/healthcare9101378.
Cardiovascular disease (CVD) is the second leading cause of death among Korean women, and its incidence is dramatically elevated in middle-aged women. This study aimed to identify the predictors of sleep quality, a CVD risk factor, in middle-aged women with CVD risk factors to provide foundational data for developing intervention strategies for the prevention of CVD. The subjects, 203 middle-aged women (40-65 years old) with one or more CVD risk factors were selected through convenience sampling and included in this descriptive correlational study. The effects of somatic symptoms, depression symptoms, and sedentary time on sleep quality were examined. CVD-related characteristics were analyzed using descriptive statistics, whereas the mean values of the independent variables were analyzed using t-tests and analysis of variance. Predictors of sleep quality were analyzed using multiple regression analysis. The results showed that sleep quality increased with decreasing somatic symptoms ( = -0.36, < 0.001), depression symptom score ( = -0.17, = 0.023), and daily sedentary time ( = -0.13, 0.041), and the regression model was significant ( = 19.80, < 0.001). Somatic symptoms are the most potent predictors of sleep quality in middle-aged women. Thus, intervention strategies that improve somatic symptoms are crucial for the enhancement of sleep quality, which deteriorates with advancing age.
心血管疾病（CVD）是韩国女性的第二大死因，其发病率在中年女性中显著升高。本研究旨在确定具有心血管疾病风险因素的中年女性睡眠质量（一种心血管疾病风险因素）的预测因素，为制定心血管疾病预防干预策略提供基础数据。通过便利抽样选取了203名患有一种或多种心血管疾病风险因素的中年女性（40 - 65岁）作为研究对象，并纳入了这项描述性相关性研究。研究了躯体症状、抑郁症状和久坐时间对睡眠质量的影响。使用描述性统计分析心血管疾病相关特征，而使用t检验和方差分析分析自变量的均值。使用多元回归分析来分析睡眠质量的预测因素。结果表明，睡眠质量随着躯体症状的减轻（β = -0.36，p < 0.001）、抑郁症状评分的降低（β = -0.17，p = 0.023）和每日久坐时间的减少（β = -0.13，p = 0.041）而提高，且回归模型具有显著性（F = 19.80，p < 0.001）。躯体症状是中年女性睡眠质量最有力的预测因素。因此，改善躯体症状的干预策略对于提高随着年龄增长而恶化的睡眠质量至关重要。
