ArticlePloS one2020
Cross-sectional relationship among different anthropometric parameters and cardio-metabolic risk factors in a cohort of patients with overweight or obesity.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- Nutraceutical Blends Promote Weight Loss, Inflammation Reduction, and Better Sleep: The Role of Faecalibacterium prausnitzii in Overweight Adults-A Double-Blind Trial.Molecular nutrition & food research · 2025Trial
- Association of cardiovascular risk factors in different anthropometric parameters in overweight or obese adults.American heart journal plus : cardiology research and practice · 2026Article
- Article
- Metabolic Indicators and Emotional Distress Symptoms Related to Overweight in Youth: A Brief Network Analysis.Healthcare (Basel, Switzerland) · 2025Article
- Exploring anthropometric, biochemistry and nutritional attributes in overweight and obese women: Insights from the Serbian cohort: A pilot study.Journal of medical biochemistry · 2025Article
- Copper biomarkers and their relationship with dyslipidemia in women with obesity.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025Article
- Plasma β-Endorphin and Neuropeptide Y as Candidate Biomarkers for Predicting Obstructive Sleep Apnea Syndrome: A Preliminary Study.Canadian respiratory journal · 2025Article
- Article
- Evaluating the Association of Anthropometric Indices With Total Cholesterol in a Large Population Using Data Mining Algorithms.Journal of clinical laboratory analysis · 2024Article
- Role of anthropometric indices as a screening tool for predicting metabolic syndrome among apparently healthy individuals of Karachi, Pakistan.Frontiers in endocrinology · 2023Article
- Abdominal and gluteo-femoral markers of adiposity and risk of vascular-metabolic mortality in a prospective study of 150 000 Mexican adults.European journal of preventive cardiology · 2022Article
- Influence of nocturnal insomnia symptoms on obstructive sleep apnea diagnosis in a clinical referral cohort.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Predictive Factors for Obstructive Sleep Apnea Diagnosis in Bariatric Surgery Candidates with or Without Chronic Insomnia Complaints.Obesity surgery · 2022Article
- Significance and agreement between obesity anthropometric measurements and indices in adults: a population-based study from the United Arab Emirates.BMC public health · 2021Article
- Vitamin D Deficiency and Risk of Metabolic Syndrome in Aging Men.The world journal of men's health · 2021Review
- Markers of Chronic Inflammation in Overweight and Obese Individuals and the Role of Gender: A Cross-Sectional Study of a Large Cohort.Journal of inflammation research · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBody fat distribution influences the risk of cardio-metabolic disease in people with overweight. This study was aimed at identifying the anthropometric parameters more strongly associated with the majority of cardio-metabolic risk factors.
methodsThis study included 1214 subjects (840 women), with a body-mass-index (BMI) ≥ 25 Kg/m2, aged 39.2 ± 13 years. Fasting blood glucose (FBG), triglycerides (TG), total, HDL- and LDL-cholesterol, uric acid, vitamin D, high-sensitive C-reactive protein (hs-CRP), white blood cells (WBC), platelets, insulin and insulin resistance (HOMA-IR), systolic (SBP) and diastolic blood pressure (DBP), smoking habit and snoring were evaluated as cardio-metabolic risk factors.We also included the Systematic COronary Risk Evaluation (SCORE) to estimate cardiovascular risk in our study population. BMI, waist circumference (WC), waist-to-height-ratio (WHtR) and neck circumference (NC) were evaluated as anthropometric parameters.
resultsAll four anthropometric parameters were positively associated to SBP, DBP, TG, FBG, insulin, HOMA-IR, WBC, and snoring (p<0.001), and negatively associated with HDL-cholesterol (p<0.001). NC showed a positive association with LDL-cholesterol (β = 0.76; p = 0.01; 95% C.I. 0.19 to 1.32), while vitamin D was negatively associated to WC (β = -0.16; p<0.001; 95% C.I. -0.24 to -0.09), BMI (β = 0.42); p<0.001; 95% C.I. -0.56 to -0.28) and WHtR (β = -24.46; p<0.001; 95% C.I. -37 to -11.9). Hs-CRP was positively correlated with WC (β = 0.003; p = 0.003; 95% C.I. 0.001 to 0.006), BMI (β = 0.01; p = 0.02; 95% C.I. 0.001 to 0.012) and WHtR (β = 0.55; p = 0.01; 95% C.I. 0.14 to 0.96). SCORE was associated to NC (β = 0.15; 95% CI 0.12 to 0.18; p<0.001), BMI (β = -0.18; 95% CI -0.22 to 0.14; p<0.001) and WHtR (β = 7.56; 95% CI 5.30 to 9.82; p<0.001).
conclusionsNC, combined with BMI and WC or WHtR could represent an essential tool for use in clinical practice to define the cardio-metabolic risk in individuals with excess body weight.
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