Institute of Medical Science Faculty of Medicine, University of Toronto Medical Sciences Building, Canada.
Arthritis Community Research and Evaluation Unit, Krembil Research Institute, Toronto, Canada.
J Gerontol B Psychol Sci Soc Sci. 2018 Sep 20;73(7):1303-1314. doi: 10.1093/geronb/gbx004.
Chronic conditions and multimorbidity are increasing worldwide. Yet, understanding longitudinal changes in multimorbidity over the lifecourse is limited. We compared the age-trajectory of multimorbidity by birth cohort and examined effects of socio-demographic (e.g., sex, income) and behavioral risk (e.g., obesity) factors in multimorbidity.
Using data from the Canadian Longitudinal National Population Health Survey (1994-2010), we examined 10,186 participants born 1925-1974 grouped in 5 birth cohorts. Data on the number of chronic conditions (up to 17), income, education, and behavioral risk factors were collected biannually. We used multilevel logistic growth modeling techniques for analyses of multimorbidity defined as the presence of 2+ chronic conditions versus 1 or none.
We found significant cohort differences in the age-trajectory of multimorbidity: at corresponding ages, each succeeding recent cohort had higher odds of reporting multimorbidity than their predecessors. Access to healthcare did not fully explain these differences. Women, having lower income, being obese, smoking, and a sedentary lifestyle had increased odds of reporting multimorbidity. Obese individuals, particularly Gen Xers and younger boomers, reported multimorbidity at an earlier age than those of normal weight. We observed divergent trajectories of greater multimorbidity for lower than higher income individuals. Furthermore, after accounting for age and risk factors there was an apparent increase in reporting multimorbidity over time (period effect) across all ages.
Our findings indicate that multimorbidity is not only becoming the norm, but is emerging earlier in the lifecourse and particularly for low income and obese individuals from more recent cohorts. The findings point to the importance of planning interventions and policies to deal with more recent birth cohorts entering into older age with worse health than their predecessors.
慢性疾病和多种疾病在全球范围内不断增加。然而,对于一生中多种疾病的纵向变化的理解是有限的。我们通过出生队列比较了多种疾病的年龄轨迹,并研究了社会人口统计学(如性别、收入)和行为风险(如肥胖)因素对多种疾病的影响。
利用加拿大纵向全国人口健康调查(1994-2010 年)的数据,我们检查了 1925-1974 年出生的 10186 名参与者,分为 5 个出生队列。每两年收集一次慢性疾病数量(最多 17 种)、收入、教育和行为风险因素的数据。我们使用多层次逻辑增长模型技术分析多种疾病,定义为存在 2 种及以上慢性疾病与存在 1 种或没有慢性疾病的情况。
我们发现多种疾病的年龄轨迹存在显著的队列差异:在相应的年龄,每个后续的近期队列报告多种疾病的可能性都高于其前辈。获得医疗保健并不能完全解释这些差异。女性、收入较低、肥胖、吸烟和久坐不动的生活方式会增加报告多种疾病的可能性。肥胖个体,特别是 X 世代和较年轻的婴儿潮一代,比体重正常的个体更早报告多种疾病。我们观察到较低收入和较高收入个体的多种疾病轨迹存在差异,并且随着时间的推移,所有年龄段的报告多种疾病的情况都出现了明显的增加(时期效应)。
我们的研究结果表明,多种疾病不仅成为常态,而且在生命过程中出现得更早,特别是对于最近出生的低收入和肥胖个体而言。这些发现表明,需要制定干预措施和政策,以应对进入老年期的最近出生的队列,他们的健康状况比前辈更差。