ArticleJournal of aging and health2015
Long-Term BMI Trajectories and Health in Older Adults: Hierarchical Clustering of Functional Curves.
Article in Journal of aging and health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Trajectory of Body Mass Index and Frailty Among Older People in Southern Brazil: A Longitudinal Study.Nutrients · 2026Article
- Early-Life Factors and Body Mass Index Trajectories Among Children in the ECHO Cohort.JAMA network open · 2025Article
- Impact of adiposity indices changes across the lifespan on risk of diabetes in women: trajectory modeling approach.BMC public health · 2024Article
- Comparison of intergenerational instrumental variable analyses of body mass index and mortality in UK Biobank.International journal of epidemiology · 2023Article
- Association between physical activity and longitudinal change in body mass index in middle-aged and older adults.BMC public health · 2023Article
- BMI trajectory in adulthood in relation to all-cause and cause-specific mortality: A retrospective cohort study in Taiwan.PloS one · 2023Article
- Predictors of change in BMI over 10 years among midlife and older adults: Associations with gender, CVD risk status, depressive symptoms, and social support.Social science & medicine (1982) · 2021Article
- Body mass index trajectories among people with obesity and association with mortality: Evidence from a large Israeli database.Obesity science & practice · 2021Article
- Forecasting the Health Transition and Medical Expenditure of the Future Elderly in China: A Longitudinal Study Based on Markov Chain and Two Part Model.Frontiers in public health · 2021Article
- Trajectories of BMI Before Diagnosis of Type 2 Diabetes: The Rotterdam Study.Obesity (Silver Spring, Md.) · 2020Article
- Years of life with and without limitation in physical function and in activities of daily living by body mass index among older adults.International journal of obesity (2005) · 2019Article
- Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns.Frontiers in neuroscience · 2017Article
- Validating a summary measure of weight history for modeling the health consequences of obesity.Annals of epidemiology · 2016Article
- Body mass trajectories, diabetes mellitus, and mortality in a large cohort of Austrian adults.Medicine · 2016Observational
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThis project contributes to the emerging research that aims to identify distinct body mass index (BMI) trajectory types in the population. We identify clusters of long-term BMI curves among older adults and determine how the clusters differ with respect to initial health.
methodHealth and Retirement Study cohort (N = 9,893) with BMI information collected in up to 10 waves (1992-2010) is analyzed using a powerful cutting-edge approach: hierarchical clustering of BMI functions estimated via the Principal Analysis by Conditional Expectations (PACE) algorithm.
resultsThree BMI trajectory clusters emerged for each gender: stable, gaining, and losing. The initial health of the gaining and stable groups in both genders was comparable; the losing cluster experienced significantly poorer health at baseline. DISCUSSION: BMI trajectories among older adults cluster into distinct types in both genders, and the clusters vary substantially in initial health. Weight loss but not gain is associated with poor initial health in this age group.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.