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首页> 外文期刊>The journals of gerontology.Series A. Biological sciences and medical sciences >Association Between Lifestyle Factors and the Incidence of Multimorbidity in an Older English Population
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Association Between Lifestyle Factors and the Incidence of Multimorbidity in an Older English Population

机译：生活方式因子与旧英语人群多重多达率的关系

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Background: Evidence on the role of lifestyle factors in relation to multimorbidity, especially in elderly populations, is scarce. We assessed the association between five lifestyle factors and incident multimorbidity (presence of >= 2 chronic conditions) in an English cohort aged >= 50 years. Methods: We used data from waves 4, 5, and 6 of the English Longitudinal Study of Ageing. Data on smoking, alcohol consumption, physical activity, fruit and vegetable consumption, and body mass index were extracted and combined to generate a sum of unhealthy lifestyle factors for each individual. We examined whether these lifestyle factors individually or in combination predicted multimorbidity during the subsequent wave. We used marginal structural Cox proportional hazard models, adjusted for both time-constant and time-varying factors. Results: A total of 5,476 participants contributed 232,749 person-months of follow-up during which 1,156 cases of incident multimorbidity were recorded. Physical inactivity increased the risk of multimorbidity by 33% (adjusted hazard ratio [aHR]: 1.33, 95% confidence interval [CI]: 1.03-1.73). The risk was about two to three times higher when inactivity was combined with obesity (aHR: 2.87, 95% CI: 1.55-5.31) or smoking (aHR: 2.35, 95% CI: 1.36-4.08) and about four times when combined with both (aHR: 3.98, 95% CI: 1.02-17.00). Any combination of 2, 3, and 4 or more unhealthy lifestyle factors significantly increased the multimorbidity hazard, compared with none, from 42% to 116%. Conclusion: This study provides evidence of a temporal association between combinations of different unhealthy lifestyle factors with multimorbidity. Population level interventions should include reinforcing positive lifestyle changes in the population to reduce the risk of developing multimorbidity.
机译：背景：关于生活方式因素与多重人口的关系的证据是稀缺的。我们在英国队列中的五个生活方式因子和事件多重（存在> = 2慢性条件）之间的关联评估了= 50年的患者。方法：我们使用来自衰老的英语纵向研究的波浪4,5和6的数据。提取有关吸烟，酒精消费，身体活动，水果和蔬菜消费的数据，并提取体重指数，并结合每个人的不健康生活方式因素。我们在随后的波期间检查了这些生活方式是否单独或组合预测的多个多压性。我们使用了边缘结构Cox比例危险模型，调整了时间常数和时变因子。结果：共有5,476名参与者贡献了232,749人的后续行动，在此期间记录了1,156例事件多重手段。物理不活跃量增加了多药物的风险33％（调节的危险比[AHR]：1.33,95％置信区间[CI]：1.03-1.73）。与肥胖相结合时，风险大约高出两到三倍（AHR：2.87,95％CI：1.55-5.31）或吸烟（AHR：2.35,95％CI：1.36-4.08）和结合约四次两者（AHR：3.98,95％CI：1.02-17.00）。 2,3和4个或更多不健康的生活方式因子的任何组合显着增加了多重危害，无，无42％至116％。结论：本研究提供了不同不健康的生活方式因多型多药物的组合之间存在时间关联的证据。人口水平干预措施应包括加强人口的阳性生活方式，以降低发展多重性能的风险。

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