Department of Epidemiology and Statistics, Faculty of Health Sciences, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Healthy Aging Research Centre, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Epidemiol Health. 2020;42:e2020001. doi: 10.4178/epih.e2020001. Epub 2019 Dec 27.
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.
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.
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<0.001) remained significant.
The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.
老年人多病共存(MM)的发病率及其相关因素仍知之甚少。本研究旨在探讨新西兰老年人 MM 相关的社会人口学和生活方式因素。
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,于 2006 年开始。那些接受邀请并完成基线问卷的人将每两年进行一次随访。从基线和 6 次随访中获取社会人口学因素、健康和生活方式行为以及慢性疾病诊断的数据。使用广义估计方程(GEE)同时调整时间不变和时变因素,以对与 MM 发病相关的因素进行建模。
共有 1673 名参与者(患有 0 种或 1 种慢性疾病)提供了 10 年共 8616 人年的观察数据。在 10 年的随访中有 590 例新的 MM 病例,总体发病率为每 1000 人年 68.5 例。年龄和性别调整的 GEE 分析结果表明,年龄、种族、独居、肥胖、高血压和基线时患有 1 种慢性疾病是 MM 发病的显著预测因素。较高的教育程度、收入、身体活动和规律饮酒是保护因素。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)和基线时患有 1 种慢性疾病(OR,2.92;95% CI,2.33 至 3.67;p<0.001)仍然显著。
毛利人、社会经济弱势群体、身体活动水平低和肥胖人群中 MM 的发病率较高,这突显了针对这些人群制定有针对性的预防策略的重要性。