Evidence map›Paper›PMID 34331002›Full record

ArticleInternational journal of obesity (2005)2021

Distinct opposing associations of upper and lower body fat depots with metabolic and cardiovascular disease risk markers.

Mahasampath Gowri S, Belavendra Antonisamy, Finney S Geethanjali, Nihal Thomas, Felix Jebasingh, Thomas V Paul, Fredrik Karpe, Clive Osmond, Caroline H D Fall, Senthil K Vasan

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Article in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Association Between Trunk Fat Mass Index and Diabetes in a Multinational Population.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025
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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

10 authors at 3 institutions in 2 countries.

Mahasampath Gowri SDepartment of Biostatistics, Christian Medical College, Vellore, India. gowricmc@gmail.com.ORCID http://orcid.org/0000-0002-0251-0763
Belavendra AntonisamyDepartment of Biostatistics, Christian Medical College, Vellore, India.
Finney S GeethanjaliDepartment of Clinical Biochemistry, Christian Medical College, Vellore, India.
Nihal ThomasDepartment of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India.
Felix JebasinghDepartment of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India.
Thomas V PaulDepartment of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India.ORCID http://orcid.org/0000-0003-3315-341X
Fredrik KarpeOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK.ORCID http://orcid.org/0000-0002-2751-1770
Clive OsmondMRC Environmental Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, UK.
Caroline H D FallMRC Environmental Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, UK.
Senthil K VasanOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK. senthil.vasan@ocdem.ox.ac.uk.
Christian Medical College, Vellore · INSouthampton General Hospital · GBChurchill Hospital · GB

Funding

British Heart Foundation BHF_CS/15/4/31493British Heart Foundation BHF_RG/98001British Heart Foundation CS/15/4/31493Medical Research Council G0400519Medical Research Council MC_UP_A620_1016Medical Research Council MC_UU_12011/3
6 · The paper itself

Abstract

backgroundTo examine the associations of total and regional adiposity with metabolic and cardiovascular disease (CVD) risk markers.

methodsThis cross-sectional study included 1080 (53.8% men, aged 39-44 years) individuals from South India. Anthropometry (height, weight, waist and hip circumference), body composition assessment using dual-energy X-ray absorptiometry (DXA), blood pressure (BP), and plasma glucose, insulin and lipids were measured. Regression analysis was used to examine associations of standardized fat measurements with type 2 diabetes (T2D), insulin resistance (IR), hypertension and hypertriglyceridemia and continuous measurements of BP, glucose, insulin, HOMA-IR and lipids. Contour plots were constructed to visualize the differential effect of upper and lower fat depots.

resultsDXA-measured fat depots were positively associated with metabolic and CVD risk markers. After adjusting for fat mass index, upper body fat remained positively, while lower body fat was negatively associated with risk markers. A one standard deviation (SD) increase in android fat showed higher odds ratios (ORs) for T2D (6.59; 95% CI 3.17, 13.70), IR (4.68; 95% CI 2.31, 9.50), hypertension (2.57; 95% CI 1.56, 4.25) and hypertriglyceridemia (6.39; 95% CI 3.46, 11.90) in men. A 1 SD increase in leg fat showed a protective effect with ORs for T2D (0.42; 95% CI 0.24, 0.74), IR (0.31; 95% CI 0.17, 0.57) and hypertriglyceridemia (0.61; 95% CI 0.38, 0.98). The magnitude of the effect was greater with DXA-measured fat compared with anthropometry.

conclusionAt any level of total body fat, upper and lower body fat depots demonstrate opposite risk associations with metabolic and CVD risk markers in Asian Indians.

Indexed as

Heart Disease Risk FactorsAdipose TissueAdultBody Mass IndexCross-Sectional StudiesFemaleHumansIndiaMaleMetabolic Diseases

Identifiers

PMID34331002
OpenAlexW3186907968

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.