ArticleBiology of sex differences2022
Gender differences in cardiometabolic health and disease in a cross-sectional observational obesity study.
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.
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.
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.
Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- Association between body shape index and arterial stiffness: results of the EVasCu study and a meta-analysis.International journal of obesity (2005) · 2025Pooled it
- Sex and Gender Differences on the Impact of Metabolism-Disrupting Chemicals on Obesity: A Systematic Review.Nutrients · 2024Pooled it
- Epigenetic age acceleration and metabolic syndrome among Hispanic/Latino adults: Hispanic Community Health Study/Study of Latinos (HCHS/SOL).International journal of obesity (2005) · 2026Article
- Cardiometabolic Risk Factors in Women Exposed to High Altitude.International journal of molecular sciences · 2026Review
- Adherence to Healthy Dietary Patterns and Cognitive Performance: Evidence from DASH and Mediterranean Diets.Nutrients · 2026Article
- Cardiometabolic health and all-cause and cause-specific mortality in the general US adult population.Nutrition & metabolism · 2026Article
- Sex Differences in the Impact of Obesity on Immunity.Immunological reviews · 2026Review
- Which of the five anthropometric and lipid-based indexes best predicts hypertension? A machine learning approach.Internal and emergency medicine · 2026Article
- Multi-omics factor analysis v2 (MOFA+) reveals specific co-variation patterns in women with PMOS that are strongly influenced by obesity.Human reproduction open · 2026Article
- Body roundness index: superior predictors of intramuscular fat infiltration in general population.Frontiers in nutrition · 2026Article
- Adipokine in Metabolic Liver Disease: Adipo-Brain-Liver Cross talk.International journal of endocrinology · 2026Review
- Sex differences in cardiac risk and kidney function: serum creatinine versus cystatin C.BMC medicine · 2025Article
- Body Roundness Index Versus Body Mass Index: Differential Associations With Obstructive Sleep Apnea Syndrome and All-Cause Mortality in US Adults Aged 20 Years and Older.Brain and behavior · 2025Article
- Association between physical activity, sleep, and screen time and cardiometabolic risk factors among Brazilian adolescents: a cross-sectional analysis of a nationally representative sample.BMC public health · 2025Article
- Article
- Clinical characteristics of lean and non-lean non-alcoholic fatty liver disease: a cross-sectional study.Nutrition & metabolism · 2025Article
- Insulin/insulin-like growth factor signaling pathway promotes higher fat storage inbioRxiv : the preprint server for biology · 2025Article
- Sex-specific impact of the COVID-19 outbreak on the incidence of metabolic syndrome: a comparative study of 2018-2019 and 2020-2021.The Korean journal of internal medicine · 2025Article
- Gender-based variations in surgical management of colorectal liver metastases: comprehensive analysis.BMC cancer · 2025Article
- Sex differences in ketogenic diet: are men more likely than women to lose weight?Frontiers in nutrition · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.