Evidence map›Paper›PMID 35094005›Full record

ArticleInternational journal of obesity (2005)2022

Age-appropriate BMI cut-points for cardiometabolic health risk: a cross-sectional analysis of the Canadian Longitudinal Study on Aging.

Ayesha A Javed, Jinhui Ma, Laura N Anderson, Alexandra J Mayhew, Hon Yiu So, Lauren E Griffith, Anne Gilsing, Parminder Raina

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Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Ayesha A JavedDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0003-0784-7709
Jinhui MaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Laura N AndersonDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0002-6106-5073
Alexandra J MayhewDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Hon Yiu SoDepartment of Mathematics and Statistics, Oakland University, Rochester, MI, USA.
Lauren E GriffithDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Anne GilsingDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Parminder RainaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada. praina@mcmaster.ca.ORCID http://orcid.org/0000-0002-8107-3193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBody composition changes that occur with aging pose unique health risks to older adults. The current World Health Organization (WHO) body mass index (BMI) cut-points may not accurately reflect health risks in older adults (65+). Prior findings suggest those classified as overweight may be conferred survival advantages. This study aims to define age-specific BMI cut-points for adults (45-64, 65-74, and 75-85 years) associated with cardiometabolic outcomes, and compare the performance of these thresholds to the WHO BMI thresholds using cardiometabolic conditions and frailty as outcomes.

methodsUsing baseline data from the comprehensive cohort of the Canadian Longitudinal Study on Aging (N = 30,097), a classification and regression tree cross-sectional analysis was conducted to derive age-specific BMI cut-points based on cardiometabolic health risk. The area under the receiver operating curve (AUC), sensitivity, and specificity were estimated. Agreement with waist circumference was conducted.

resultsFor older adults (65-74 and 75+ years old), the BMI threshold for identifying overweight increased to 26.9 and 26.6, respectively, from the WHO definition of 25.0 kg/m

conclusionsAge-appropriate BMI thresholds for older adults may improve classification by health risk compared to standard WHO cut-points. A higher overweight threshold but lower obesity cut-points may be best suited to this demographic.

Indexed as

Cardiovascular DiseasesOverweightAgedAgingBody Mass IndexCanadaCross-Sectional StudiesHumansLongitudinal StudiesMiddle AgedObesityRisk FactorsWaist Circumference

Identifiers

PMID35094005

What OpenQuestion holds

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Registered trials

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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.