首页> 外文期刊>Journal of the American Board of Family Medicine: JABFM >Personal health behaviors are associated with physical and mental unhealthy days: a Prescription for Health (P4H) practice-based research networks study.
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Personal health behaviors are associated with physical and mental unhealthy days: a Prescription for Health (P4H) practice-based research networks study.

机译:个人健康行为与身心不健康的日子有关:基于健康实践(P4H)的基于实践的研究网络研究。

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BACKGROUND: Because unhealthy behaviors have been shown to predict premature mortality and quality of life is linked to chronic disease, it is plausible that there is a relationship between unhealthy behaviors and a patient's overall well-being. METHODS: Baseline data from the Robert Wood Johnson Foundation's Prescription for Health initiative were used. Using various methods, 9 practice-based research networks collected common data about cigarette smoking, diet, exercise, and perceived physical and mental health from 5358 patients from 67 practices. Multilevel ordinal regression modeling was used to examine the relationship between risk behaviors and physical or mental unhealthy days. RESULTS: Smoking, unhealthy diet, and inactivity were associated with more self-reported unhealthy days after adjusting for clustering and significant covariates. Smoking was associated with increased odds of more unhealthy days (odds ratio [OR], 1.51; P < .0001), as was a poor diet (OR, 1.10; P < .0001). More exercise (OR, 0.96; P = .0005) was associated with decreased odds of physical or mental unhealthy days. CONCLUSION: Unhealthy patient behaviors were associated with increased odds of physical or mental unhealthy days, suggesting a further reason primary care clinicians should address behavior change with patients. Implementing a brief, 2-question, quality of life screening would target groups of primary care patients with a higher prevalence of unhealthy behaviors.
机译:背景:由于不健康的行为已被证明可以预测过早的死亡率,并且生活质量与慢性疾病有关,因此不健康的行为与患者的整体幸福感之间存在联系是合理的。方法:使用了罗伯特·伍德·约翰逊基金会(Robert Wood Johnson Foundation)的“健康处方”计划的基线数据。 9个基于实践的研究网络使用各种方法,收集了来自67个实践的5358名患者的有关吸烟,饮食,运动和身心健康的共同数据。多级序数回归模型用于检查风险行为与身体或精神不健康天数之间的关系。结果:调整聚类和显着的协变量后,吸烟,饮食不健康和缺乏运动与更多自我报告的不健康天数相关。吸烟与不健康天数增加的几率相关(比值比[OR]为1.51; P <.0001),不良饮食习惯也是如此(OR为1.10; P <.0001)。进行更多的运动(OR,0.96; P = .0005)可以减少身体或精神上不健康的日子。结论:不健康的患者行为与身体或精神上不健康日的几率增加有关,这表明初级保健临床医生应解决患者行为改变的另一个原因。实施简短的,两个问题的生活质量筛查将针对不健康行为患病率较高的基层医疗患者。

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