Evidence map›Paper›PMID 41105408›Full record

ArticleJAMA network open2025

Cardiometabolic Outcomes Among Adults With Abdominal Obesity and Normal Body Mass Index.

Kedir Y Ahmed, Setognal B Aychiluhm, Subash Thapa, Teketo Kassaw Tegegne, Daniel Bekele Ketema, Zemenu Yohannes Kassa, Getiye Dejenu Kibret, Bereket Duko, Desalegn Markos Shifti, Meless G Bore and 18 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

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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

28 authors.

Kedir Y AhmedRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Setognal B AychiluhmRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Subash ThapaRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Teketo Kassaw TegegneInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.
Daniel Bekele KetemaThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Zemenu Yohannes KassaRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Getiye Dejenu KibretCenter for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Bereket DukoResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, South Australia, Australia.
Desalegn Markos ShiftiChild Health Research Centre, The University of Queensland, Brisbane, Australia.
Meless G BoreRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Zekariyas Sahile NezenegaRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Asres BedasoThe Daffodil Centre, University of Sydney, A Joint Venture With Cancer Council New South Wales, Sydney, Australia.
Aklilu Habte HailegebirealSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosanna, Ethiopia.
Habtamu Mellie BizuayehuFirst Nations Cancer and Wellbeing Research Program, School of Public Health, The University of Queensland, Brisbane, Australia.
Abel F DadiMenzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Tesfalidet BeyeneCentre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia.
Mohd Farooq ShaikhRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Tahir A HassenCentre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia.
Abdulbasit SeidSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Feleke H AstawesegnRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Sewunet Admasu BelachewFirst Nations Cancer and Wellbeing Research Program, School of Public Health, The University of Queensland, Brisbane, Australia.
Cheru Tesema LeshargieRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Fentaw T BerheDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Utpal K MondalRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Damien LittleRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Kasuni Akalanka Hewa MarambageRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Shakeel MahmoodRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Allen G RossRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Cardiometabolic disorders are the leading causes of death and disability worldwide, with abdominal obesity being a major contributor to these conditions. Data on normal-weight abdominal obesity and its association with cardiometabolic outcomes are limited. Objective: To investigate the global prevalence of normal-weight abdominal obesity and its association with cardiometabolic outcomes. Design, Setting, and Participants: This cross-sectional study used data from the World Health Organization Stepwise Approach to Surveillance of Noncommunicable Disease Risk Factors survey datasets between 2000 and 2020. The surveys were from 91 countries across Africa, the Americas, the Eastern Mediterranean region, Europe, Southeast Asia, and the Western Pacific region. Adults aged 15 to 69 years or 18 to 69 years (based on participating countries' national definitions of adult) were included. The data were analyzed between April 2024 and January 2025. Exposure: Normal-weight abdominal obesity, which is defined as a normal body mass index (BMI) of 18.5 to 24.9 (calculated as weight in kilograms divided by height in meters squared) but high waist circumference (female, ≥80 cm; male, ≥94 cm). Main Outcomes and Measures: The main outcomes were hypertension, diabetes, cholesterol, and triglycerides. Associations with these cardiometabolic outcomes were quantified using multivariable binary logistic regression models. Results: The study included 471 228 participants (mean [SD] age, 40.4 [15.9] years; 57.8% female). Globally, 21.7% (95% CI, 21.5%-21.8%) of participants with a normal BMI had abdominal obesity, ranging from 15.3% (95% CI, 15.0%-15.7%) in the Western Pacific region to 32.6% (95% CI, 31.9%-33.3%) in the Eastern Mediterranean region. Lebanon had the highest prevalence of normal-weight abdominal obesity (58.4%; 95% CI, 54.1%-62.6%), while Mozambique had the lowest (6.9%; 95% CI, 5.9%-8.1%). Factors associated with abdominal obesity included primary and secondary or higher education (odds ratio [OR], 1.53 [95% CI, 1.50-1.57] and 2.38 [95% CI, 2.33-2.43], respectively), unemployment (OR, 1.25 [95% CI, 1.23-1.27]), low fruits and vegetables intake (OR, 1.22 [95% CI, 1.20-1.24]), and physical inactivity (OR, 1.60 [95% CI, 1.57-1.63]). Additionally, having a normal BMI and abdominal obesity was consistently associated with hypertension (OR, 1.29 [95% CI, 1.25-1.33]), diabetes (OR, 1.81 [95% CI, 1.72-1.90]), high total cholesterol (OR, 1.39 [95% CI, 1.35-1.44]), and high triglycerides (OR, 1.56 [95% CI, 1.48-1.64]). Conclusions and Relevance: In this cross-sectional study, more than 1 in 5 adults worldwide with a normal BMI had abdominal obesity. Relying solely on BMI may be insufficient to identify these high-risk individuals and provide timely interventions. The findings have implications for the United Nations' Sustainable Development Goal targets 2.2 (ending all forms of malnutrition) and 3.4 (reducing premature mortality from noncommunicable diseases).

Indexed as

Cardiovascular DiseasesObesity, AbdominalAdolescentAdultAgedBody Mass IndexCross-Sectional StudiesDiabetes MellitusFemaleGlobal HealthHumansHypertensionMaleMiddle AgedPrevalenceWaist Circumference

Identifiers

PMID41105408
PMCPMC12534855

What Socratic 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 Socratic graph.