Evidence map›Paper›PMID 40065555›Full record

ArticleObesity (Silver Spring, Md.)2025

BMI-for-age percentile curves for older adults.

Hailey R Banack, Christopher D Kim, Claire E Cook, Alexandra Wasser, Jay S Kaufman, Steven D Stovitz

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. BMI-for-age percentile curves for older adults.Obesity (Silver Spring, Md.) · 2025
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hailey R BanackEpidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-6230-2245
Christopher D KimEpidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Claire E CookEpidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Alexandra WasserEpidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Jay S KaufmanSchool of Population and Global Health, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Steven D StovitzDepartment of Family Medicine and Community Health, University of Minnesota, Minneapolis, Minnesota, USA.

Funding

Ms. LILAC: Muscle Mass in the Life and Longevity After Cancer (LILAC) StudyR37CA258761 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Hailey Rose Banack · 2022 to 2026
$3.3M
NCI NIH HHS R37 CA258761
6 · The paper itself

Abstract

objectiveThe objective of this manuscript is to present BMI-for-age percentile curves for men and women aged 45 to 90 years.

methodsWeighted empirical percentile estimates were calculated using data from the Canadian Longitudinal Study on Aging (CLSA) comprehensive cohort (2011-2018) according to age and sex. Statistical smoothing procedures were used to generate smoothed curves for the percentile values. Overweight and obesity were defined as BMI greater than the 85th and 95th percentile for age and sex, respectively.

resultsIn order to create BMI-for-age percentile curves, n = 56,705 observations were used (n = 29,961 individuals at baseline and n = 26,744 individuals at the first follow-up visit). In men, absolute values for BMI percentiles are lower than those in women, and the decline in BMI begins earlier (i.e., at a younger age). In women, the 95th percentile threshold for BMI is highest between ages 59 and 67 years (i.e., 41 kg/m

conclusionsBMI-for-age percentile curves demonstrate how an individual's BMI value compares with values from a reference population comprising individuals of the same age and sex. This approach has widespread utility to determine eligibility for interventions and as a tool to incorporate into clinical models of care for obesity management in an aging population.

Indexed as

AgingBody Mass IndexObesityAgedAged, 80 and overAge FactorsCanadaFemaleHumansLongitudinal StudiesMaleMiddle AgedOverweightSex Factors

Identifiers

PMID40065555
PMCPMC12592761

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.