Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
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DOI：
10.4178/epih.e2020001
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发表时间：
2019-12-27
影响因子：
3.8
通讯作者：
Shamshirgaran, Seyed Morteza
中科院分区：
文献类型：
--
作者：
Aminisani, Nayyereh;Stephens, Christine;Shamshirgaran, Seyed Morteza
目的：老年人中多发病（MM）的发生率及其相关性仍然知之甚少。本研究旨在调查新西兰与多发性骨髓瘤相关的社会人口统计和生活方式因素。方法：2006年邀请55-70岁的人群参加一项基于人群的队列研究，即健康工作和退休研究。那些接受邀请并完成基线调查问卷的人每两年进行一次随访。关于社会人口因素、健康和生活方式行为以及慢性病诊断的数据是从基线和 6 波随访中获得的。根据时间常数和时变因素调整的广义估计方程 (GEE) 用于对与 MM 发病相关的因素进行建模。结果：共有 1,673 名参与者（患有 0 或 1 种慢性病）参与了总共 8,616 人年的观察。 10 年随访期间，新增 MM 病例 590 例，总发病率为每 1000 人年 68.5 例。年龄和性别调整后的 GEE 分析结果显示，年龄、种族、独居、肥胖、高血压和基线时患有 1 种慢性病是 MM 发病的重要预测因素。高等教育、收入、体力活动和经常饮酒是保护因素。在完全调整的模型中，婚姻状况（比值比 [OR]，1.18；95% 置信区间 [CI]，1.01 至 1.37；p=0.039）、高血压（OR，1.23；95% CI，1.02 至 1.48；p=0.032）以及基线时患有 1 种慢性病（OR，2.92；95% CI， 2.33 至 3.67；
OBJECTIVES: The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand.METHODS: People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM.RESULTS: A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p