Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia.
Maturitas. 2013 Dec;76(4):377-83. doi: 10.1016/j.maturitas.2013.09.003. Epub 2013 Oct 2.
To examine the extent to which socio-demographics, modifiable lifestyle, and physical health status influence the mental health of post-menopausal Australian women.
Cross-sectional data on health status, chronic disease and modifiable lifestyle factors were collected from a random cross-section of 340 women aged 60-70 years, residing in Queensland, Australia. Structural equation modeling (SEM) was used to measure the effect of a range of socio-demographic characteristics, modifiable lifestyle factors, and health markers (self-reported physical health, history of chronic illness) on the latent construct of mental health status. Mental health was evaluated using the Medical Outcomes Study Short Form 12 (SF-12(®)) and Center for Epidemiologic Studies Depression Scale (CES-D).
The model was a good fit for the data (χ(2)=4.582, df=3, p=0.205) suggesting that mental health is negatively correlated with sleep disturbance (β=-0.612, p<0.001), and a history of depression (β=-0.141, p=0.024).While mental health was associated with poor sleep, it was not correlated with most lifestyle factors (BMI, alcohol consumption, or cigarette smoking) or socio-demographics like age, income or employment category and they were removed from the final model.
Research suggests that it is important to engage in a range of health promoting behaviors to preserve good health. We found that predictors of current mental health status included sleep disturbance, and past mental health problems, while socio-demographics and modifiable lifestyle had little impact. It may be however, that these factors influenced other variables associated with the mental health of post-menopausal women, and these relationships warrant further investigation.
探讨社会人口统计学因素、可改变的生活方式和身体健康状况对绝经后澳大利亚女性心理健康的影响程度。
从澳大利亚昆士兰州随机抽取 340 名年龄在 60-70 岁的女性，收集健康状况、慢性疾病和可改变的生活方式因素的横断面数据。结构方程模型（SEM）用于测量一系列社会人口统计学特征、可改变的生活方式因素和健康指标（自我报告的身体健康状况、慢性疾病史）对心理健康状况潜在结构的影响。使用医疗结局研究简明健康调查问卷 12 项（SF-12(®)）和流行病学研究中心抑郁量表（CES-D）评估心理健康。
模型与数据拟合良好（χ(2)=4.582，df=3，p=0.205），表明心理健康与睡眠障碍（β=-0.612，p<0.001）和抑郁史（β=-0.141，p=0.024）呈负相关。虽然心理健康与睡眠质量差有关，但与大多数生活方式因素（BMI、饮酒或吸烟）或社会人口统计学因素（年龄、收入或就业类别）无关，因此这些因素被从最终模型中删除。
研究表明，参与一系列促进健康的行为对于保持身体健康非常重要。我们发现，当前心理健康状况的预测因素包括睡眠障碍和过去的心理健康问题，而社会人口统计学因素和可改变的生活方式则影响较小。然而，这些因素可能会影响绝经后妇女心理健康的其他相关变量，这些关系值得进一步研究。
