ArticleFrontiers in public health2026
Association of annual percentage changes in anthropometric indices with all-cause mortality: a 14-year longitudinal study of older US adults.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Introduction: Longitudinal anthropometric changes may provide prognostic information beyond single timepoint measurements in older adults. We tested whether the annual percentage change (APC) in five anthropometric metrics (body mass index [BMI], waist circumference [WC], weight-adjusted waist index [WWI], waist-to-height ratio [WHtR], and waist-to-height^0.5 [WHT.5R]) were associated with all-cause mortality in a 14-year U.S. cohort of older adults. Methods: Using data from the National Health and Aging Trends Study (NHATS) 2011-2024 ( Results: Compared to stable (≤ 2% change) measures, fluctuations in all five anthropometric indices were associated with an elevated mortality risk (pooled HR range: 2.15-9.74; 95% CI boundaries ranged from 1.68 to 17.49; Conclusion: These findings suggest that stability in anthropometric metrics may reflect a lower-risk physiological profile in older adults. Fluctuations (gain or loss) in the examined anthropometric metrics were associated with higher mortality risk, with generally consistent findings across sensitivity analyses. However, these associations should be interpreted cautiously as anthropometric changes may reflect underlying illness, frailty, or other unmeasured factors.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.