Evidence map›Paper›PMID 39382007›Full record

ArticleDiabetes, obesity & metabolism2025

Genetic influences, lifestyle and psychosocial aspects in relation to metabolically healthy obesity and conversion to a metabolically unhealthy state.

Elsa Ojalehto Lindfors, Thaís Lopes De Oliveira, Chandra A Reynolds, Yiqiang Zhan, Anna K Dahl Aslan, Juulia Jylhävä, Arvid Sjölander, Ida K Karlsson

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

8 authors.

Elsa Ojalehto LindforsDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8752-5250
Thaís Lopes De OliveiraDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Chandra A ReynoldsInstitute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA.
Yiqiang ZhanSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Anna K Dahl AslanDepartment of Health Sciences, University of Skövde, Skövde, Sweden.
Juulia JylhäväDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Arvid SjölanderDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ida K KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Foundation for Geriatric Diseases at Karolinska Institutet 2022-01296Foundation for Geriatric Diseases at Karolinska Institutet 2023-01854Foundation for Geriatric Diseases at Karolinska Institutet 2024-02197Karolinska Institutet's Research Foundation 2022-01718Loo and Hans Osterman's Foundation 2022-01222Loo and Hans Osterman's Foundation 2023-01855Loo and Hans Osterman's Foundation 2024-02197NIA NIH HHS U01 AG009740Strategic Research Program in Epidemiology (SFOepi) at Karolinska InstitutetThe Swedish Research Council for Health, Working Life and Welfare 2022-00672
6 · The paper itself

Abstract

aimsAbout 10%-30% of individuals with obesity are metabolically healthy, but the specific characteristics of the metabolically healthy obesity (MHO) phenotype remain unclear. We aimed to examine how physical activity, education, depressive symptoms and genetic predisposition to obesity differ between individuals with MHO and those with metabolically unhealthy obesity (MUO), and whether these factors predict stability in MHO or conversion to a metabolically unhealthy state. MATERIALS AND

methodsWe retrieved data on 9809 individuals with obesity from the Health and Retirement Study collected between 2006 and 2016. We compared how physical activity, education, depressive symptoms and a polygenic score for higher body mass index (BMI) (PGS

resultsIndividuals with MHO had higher physical activity (odds ratio [OR] = 0.81), higher education (OR = 0.83) and lower depressive symptoms (OR = 1.14) compared to those with MUO but did not differ in the PGS

conclusionsPhysical activity, education and depressive symptoms differed between MHO and MUO, even when mutually adjusted for, but did not predict conversion from a metabolically healthy to unhealthy state. Although not statistically significant, the results indicated that those with genetically predicted high BMI are more likely to maintain MHO and not convert to a metabolically unhealthy state.

Indexed as

Body Mass IndexDepressionExerciseGenetic Predisposition to DiseaseLife StyleObesity, Metabolically BenignAgedCross-Sectional StudiesEducational StatusFemaleHumansMaleMiddle AgedObesitybody mass indexmetabolically healthy obesityobesitypopulation study

Identifiers

PMID39382007
PMCPMC11618251

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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.