Evidence map›Paper›PMID 35246259›Full record

ArticleBiology of sex differences2022

Gender differences in cardiometabolic health and disease in a cross-sectional observational obesity study.

Christina Strack, Gundula Behrens, Sabine Sag, Margareta Mohr, Judith Zeller, Claas Lahmann, Ute Hubauer, Thomas Loew, Lars Maier, Marcus Fischer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biology of sex differences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
6.6field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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  11. Adipokine in Metabolic Liver Disease: Adipo-Brain-Liver Cross talk.International journal of endocrinology · 2026
    Review
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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

11 authors at 2 institutions in 1 country.

Christina StrackClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Gundula BehrensClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Sabine SagClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Margareta MohrClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Judith ZellerClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Claas LahmannDepartment of Psychosomatic Medicine and Psychotherapy, Faculty of Medicine, University Hospital of Freiburg, Hauptstrasse 8, 79104, Freiburg, Germany.
Ute HubauerClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Thomas LoewDepartment of Psychosomatics, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Lars MaierClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Marcus FischerClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Andrea BaesslerClinic of Internal Medicine II, University Hospital of Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany. andrea.baessler@ukr.de.ORCID 0000-0001-7561-1007
University Hospital Regensburg · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeyond the degree of adiposity, the pattern of fat distribution has a profound influence on cardiometabolic risk. It is unclear if sex differences in body fat distribution can potentially explain any sex differences in the prevalence of the metabolic syndrome (MetS) and in individual cardiometabolic risk factors among obese men and women.

methodsIn this cross-sectional analysis, 432 persons from the ongoing Obesity Weight Reduction Study (n = 356 obese, ØBMI 41 ± 8 kg/m

resultsIn crude analyses, %fat mass and the fat mass/lean mass ratio were significantly higher in women than in men, regardless of increasing obesity categories, from normal weight to grade-3-obesity. In contrast, markers of abdominal obesity, such as waist circumference and waist-to-hip ratio were higher in men than in women, despite similar BMI. The prevalence of the MetS was higher in obese men than in women (67.6 vs. 45.0%, p < 0.0001), particularly in younger individuals < 40 years (72.5 vs. 36.8%, p < 0.0001), but "metabolically healthy obesity" (BMI ≥ 30, no other NCEP ATPIII MetS component) was more common in women than in men (15.6 vs. 4.1%, p < 0.0001). After adjusting for age, %body fat and height, sex differences were observed for HDL-cholesterol (p < 0.001), triglycerides (p < 0.001), fasting glucose (p = 0.002), insulin and HOMA-IR levels (p < 0.001), ALAT (p < 0.001), adiponectin (p < 0.001), and sE-selectin (p = 0.005). In contrast, crude sex differences in other variables, such as leptin levels (68 ± 4 in obese women vs. 33 ± 2 µg/L in men, p < 0.0001), disappeared after accounting for differences in %body fat (least-squares means of leptin: 52 ± 4 vs. 55 ± 6 µg /L, p = 0.740). A logistic regression model adjusting for age and lifestyle factors revealed a lower risk of having MetS for women as compared to men (OR = 0.38[0.22-0.60]). That risk estimate did not materially alter after adding BMI to the model. In contrast, no statistically significant association between sex and MetS prevalence was observed after adding waist circumference and adiponectin to the model (OR = 1.41[0.59-3.36]).

conclusionsDifferent body fat distribution patterns, particularly abdominal adiposity, adiponectin, and related biomarkers, may contribute to sex differences in cardiometabolic risk factors and to the prevalence of the MetS.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeAdiponectinCross-Sectional StudiesFemaleHumansLeptinMaleObesityObesity, AbdominalSex CharacteristicsSex FactorsAdiponectinLeptinAdiponectinBody fat distributionCardiometabolic healthMetabolic syndromeSex differences

Identifiers

PMID35246259
PMCPMC8897897
OpenAlexW4214895290

What OpenQuestion holds

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LicenceCC BY
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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.