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健康生活方式习惯、教育程度与英国45种与年龄相关的健康及死亡结局风险:一项前瞻性队列研究。

Healthy lifestyle habits, educational attainment, and the risk of 45 age-related health and mortality outcomes in the UK: A prospective cohort study.

作者信息

Huang Yu, Wang Shuo, Tian Le, Zhang Xueli, Liu Shunming, Zhu Zhuoting, Wang Wei, Shi Danli, He Mingguang, Shang Xianwen

机构信息

Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.

Department of Mathematics, National University of Singapore, 119076, Singapore.

出版信息

J Nutr Health Aging. 2025 May;29(5):100525. doi: 10.1016/j.jnha.2025.100525. Epub 2025 Mar 5.

Abstract

OBJECTIVES

This study aimed to evaluate to what extent lifestyle habits, contribute to associations between EA and various conditions, and test the variability in risk reduction for specific health conditions linked to a healthy lifestyle across different EA levels.

DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: Data were analyzed from 341,632 UK Biobank participants without baseline cardiovascular disease or cancer (2006-2010). A healthy lifestyle score (0-5) was created by assigning one point for each of five habits: a healthy diet, sufficient physical activity, non-current smoking, moderate alcohol consumption, and low-risk sleep duration. Baseline data on self-reported and genotype-predicted EA were collected, with 45 health outcomes assessed until January 2021. Logistic regression models were used to assess the relationship between EA and lifestyle habits, and associations between the healthy lifestyle score and health/mortality outcomes were examined using Cox proportional hazards model. Moderation analysis tested whether EA modified the associations between a healthy lifestyle and health outcomes, while mediation analysis estimated the proportion of the association between EA and health outcomes explained by lifestyle habits.

RESULTS

Both self-reported and genotype-predicted EA were associated with a healthy diet, non-current smoking, low-risk sleep duration, and moderate alcohol consumption, but not low-risk physical activity. A healthy lifestyle is inversely linked to risks for 38 of 45 outcomes, including CVD, type 2 diabetes, lung and colon cancer, depression, and chronic kidney disease, as well as overall, CVD, and cancer mortality. Higher EA reduced risk for 25 conditions, such as CVD, certain cancers, chronic liver disease, and fractures; stronger inverse lifestyle-risk associations were observed among less educated individuals. Lifestyle habits explained 47.2% (95% CI: 35.3-59.4%) of the association between genotype-predicted EA and all-cause mortality, mediating a large proportion of associations with CVDs, cancers, dementia, respiratory diseases, and chronic kidney disease.

CONCLUSIONS

Higher EA might encourage the adoption of more healthy lifestyle habits, thus promoting healthy aging. Placing greater emphasis on lifestyle modification is essential for individuals with lower EA to effectively address health inequalities associated with EA.

摘要

目的

本研究旨在评估生活方式习惯在多大程度上促成了教育程度与各种疾病之间的关联,并测试在不同教育程度水平下,与健康生活方式相关的特定健康状况的风险降低的变异性。

设计、设置、参与者及测量:对英国生物银行341,632名无心血管疾病或癌症基线的参与者(2006 - 2010年)的数据进行分析。通过为以下五种习惯各赋予一分来创建健康生活方式评分(0 - 5分):健康饮食、充足的体育活动、非当前吸烟者、适度饮酒以及低风险睡眠时长。收集了关于自我报告和基因预测的教育程度的基线数据,截至2021年1月评估了45项健康结局。使用逻辑回归模型评估教育程度与生活方式习惯之间的关系,并使用Cox比例风险模型检验健康生活方式评分与健康/死亡率结局之间的关联。调节分析测试教育程度是否改变了健康生活方式与健康结局之间的关联,而中介分析估计生活方式习惯在教育程度与健康结局之间的关联中所占的比例。

结果

自我报告和基因预测的教育程度均与健康饮食、非当前吸烟、低风险睡眠时长和适度饮酒相关,但与低风险体育活动无关。健康生活方式与45项结局中的38项的风险呈负相关,包括心血管疾病、2型糖尿病、肺癌和结肠癌、抑郁症以及慢性肾病,以及总体、心血管疾病和癌症死亡率。较高的教育程度降低了25种疾病的风险,如心血管疾病、某些癌症、慢性肝病和骨折;在受教育程度较低的个体中观察到更强的生活方式 - 风险负相关。生活方式习惯解释了基因预测的教育程度与全因死亡率之间关联的47.2%(95%置信区间:35.3 - 59.4%),介导了与心血管疾病、癌症、痴呆、呼吸系统疾病和慢性肾病的大部分关联。

结论

较高的教育程度可能会鼓励人们养成更健康的生活方式习惯,从而促进健康老龄化。对于教育程度较低的个体,更加强调生活方式的改变对于有效解决与教育程度相关的健康不平等至关重要。

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