Multimorbidity trajectories in early adulthood and middle age: Findings from the CARDIA prospective cohort study

Author:

Bowling C Barrett123ORCID,Faldowski Richard A3,Sloane Richard3,Pieper Carl34ORCID,Brown Tyson H5,Dooley Erin E6,Burrows Brett T3,Allen Norrina B7,Gabriel Kelley Pettee6,Lewis Cora E68

Affiliation:

1. Durham Veterans Affairs Geriatric Research Education and Clinical Center, Durham Veterans Affairs Medical Center (VAMC), Durham, NC, USA

2. Department of Medicine, Duke University, Durham, NC, USA

3. Center for Study of Aging and Human Development, Duke University, Durham, NC, USA

4. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA

5. Department of Sociology, Duke University, Durham NC, USA

6. Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA

7. Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

8. Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA

Abstract

Background Multimorbidity research has focused on the prevalence and consequences of multimorbidity in older populations. Less is known about the accumulation of chronic conditions earlier in the life course. Methods We identified patterns of longitudinal multimorbidity accumulation using 30 years of data from in-person exams, annual follow-ups, and adjudicated end-points among 4,945 participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study. Chronic conditions included arthritis, asthma, atrial fibrillation, cancer, end stage renal disease, chronic obstructive pulmonary disease, coronary heart disease, diabetes, heart failure, hyperlipidemia, hypertension, and stroke. Trajectory patterns were identified using latent class growth curve models. Results Mean age (SD) at baseline (1985-6) was 24.9 (3.6), 55% were female, and 51% were Black. The median follow-up was 30 years (interquartile range 25-30). We identified six trajectory classes characterized by when conditions began to accumulate and the rapidity of accumulation: (1) early-fifties, slow, (2) mid-forties, fast, (3) mid-thirties, fast, (4) late-twenties, slow, (5) mid-twenties, slow, and (6) mid-twenties, fast. Compared with participants in the early-fifties, slow trajectory class, participants in mid-twenties, fast were more likely to be female, Black, and currently smoking and had a higher baseline mean waist circumference (83.6 vs. 75.6 cm) and BMI (27.0 vs. 23.4 kg/m2) and lower baseline physical activity (414.1 vs. 442.4 exercise units). Conclusions A life course approach that recognizes the heterogeneity in patterns of accumulation of chronic conditions from early adulthood into middle age could be helpful for identifying high risk subgroups and developing approaches to delay multimorbidity progression.

Funder

National Heart, Lung, and Blood Institute

National Institute on Aging

Publisher

SAGE Publications

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