Evidence map›Paper›PMID 26509041›Full record

ArticleBMC obesity2015

Does BMI generated by self-reported height and weight measure up in older adults from middle-income countries? Results from the study on global AGEing and adult health (SAGE).

Theresa E Gildner, Tyler M Barrett, Melissa A Liebert, Paul Kowal, J Josh Snodgrass

Abstract read
In one paragraph

Article in BMC obesity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Global prevalence of obesity in the older adults: A meta-analysis.Public health in practice (Oxford, England) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
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

5 authors.

Theresa E GildnerDepartment of Anthropology, University of Oregon, 1321 Kincaid Street, Eugene, OR 97403 USA.
Tyler M BarrettDepartment of Anthropology, University of Oregon, 1321 Kincaid Street, Eugene, OR 97403 USA.
Melissa A LiebertDepartment of Anthropology, University of Oregon, 1321 Kincaid Street, Eugene, OR 97403 USA.
Paul KowalWorld Health Organization, 20 Avenue Appia, CH-1211, Geneva, 27 Switzerland ; University of Newcastle Research Centre for Gender, Health and Ageing, HMRI Building Level 4 West Wing, Kookaburra Circuit, New Lambton Heights, NSW 2305 Australia.
J Josh SnodgrassDepartment of Anthropology, University of Oregon, 1321 Kincaid Street, Eugene, OR 97403 USA.

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
NIA NIH HHS R01 AG034479World Health Organization 001
6 · The paper itself

Abstract

backgroundSelf-reported (SR) body mass index (BMI) values are often used to determine obesity prevalence. However, individuals frequently overestimate their height and underestimate their weight, resulting in artificially lower obesity prevalence rates. These patterns are especially apparent among older adults and overweight individuals. The present cross-sectional study uses nationally representative datasets from five countries to assess the accuracy of SR BMI values in diverse settings.

methodsSamples of older adults (≥50 years old) and comparative samples of younger adults (18-49 years old) were drawn from five middle-income countries (China, India, Mexico, Russian Federation, and South Africa) in the World Health Organization's Study on global AGEing and adult health (SAGE). Participant-reported and researcher-obtained height and weight measures were used to calculate SR and measured BMI, respectively. Paired t-tests assessed differences between SR and measured BMI values by country. Linear regressions examined the contribution of measured weight and age to differences between SR and measured BMI.

resultsSignificant differences between SR and measured BMI values were observed (p < 0.05), but the direction of these discrepancies varied by country, age, and sex. Measured weight significantly contributed to differences between SR and measured BMI in all countries (p < 0.01). Age did not contribute significantly to variation in BMI discrepancy, except in China (p < 0.001).

conclusionsThese results suggest that SR BMI may not accurately reflect measured BMI in middle-income countries, but the direction of this discrepancy varies by country. This has considerable implications for obesity-related disease estimates reliant on SR data.

Indexed as

Measured BMIObesityOlder adultsSAGESelf-report BMI

Identifiers

PMID26509041
PMCPMC4620625

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.