ArticleThe American journal of medicine2016
Beyond Body Mass Index: Advantages of Abdominal Measurements for Recognizing Cardiometabolic Disorders.
Article in The American journal of medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Sex‑specific cardiovascular risk in estrogen‑treated androgen‑deprived males: metabolic characterization of glucose, adipose, and lipid pathways.Cardiovascular diabetology · 2026Article
- Waist-height index curves of Colombian adultsBiomedica : revista del Instituto Nacional de Salud · 2025Article
- Association between fruit intake and abdominal adiposity in 1,707 randomly selected U.S. children.Frontiers in nutrition · 2025Article
- Association between sagittal abdominal diameter-to-height ratio and all-cause mortality among adults in the United States: a longitudinal study.Archives of public health = Archives belges de sante publique · 2024Article
- Dose-response association of obesity and risk of mental health among tehranian residents: result of a cross-sectional study.BMC public health · 2024Article
- Association between sagittal abdominal diameter-to-height ratio and arteriosclerotic cardiovascular disease among the United States adults: A cross-sectional study.Preventive medicine reports · 2024Article
- Legume Intake, Body Weight, and Abdominal Adiposity: 10-Year Weight Change and Cross-Sectional Results in 15,185 U.S. Adults.Nutrients · 2023Article
- Physical activity and sedentary behaviors among active college students in Kuwait relative to gender status.Journal of preventive medicine and hygiene · 2021Article
- Milk-Fat Intake and Differences in Abdominal Adiposity and BMI: Evidence Based on 13,544 Randomly-Selected Adults.Nutrients · 2021Article
- A latent class analysis of dietary behaviours associated with metabolic syndrome: a retrospective observational cross-sectional study.Nutrition journal · 2020Observational
- Relationship between Depression Symptoms and Different Types of Measures of Obesity (BMI, SAD) in US Women.Behavioural neurology · 2020Article
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- Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population.Diabetes research and clinical practice · 2018Article
- Sagittal Abdominal Diameter, Waist Circumference, and BMI as Predictors of Multiple Measures of Glucose Metabolism: An NHANES Investigation of US Adults.Journal of diabetes research · 2018Article
- Metabolic abnormalities in rheumatoid arthritis patients with comorbid diabetes mellitus.Clinical rheumatology · 2018Article
- Sagittal abdominal diameter predicts cardiovascular events.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2017Article
- The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity.International journal of environmental research and public health · 2017Article
- Body Adiposity Index Performance in Estimating Body Fat Percentage in Colombian College Students: Findings from the FUPRECOL-Adults Study.Nutrients · 2017Article
- Indicators of abdominal size relative to height associated with sex, age, socioeconomic position and ancestry among US adults.PloS one · 2017Article
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Abstract
backgroundThe clinical recognition of cardiometabolic disorders might be enhanced by anthropometry based on the sagittal abdominal diameter (SAD; also called "abdominal height") or waist circumference rather than on weight. Direct comparisons of body mass index (BMI, weight/height(2)) with SAD/height ratio (SADHtR) or waist circumference/height ratio (WHtR) have not previously been tested in nationally representative populations.
methodsNonpregnant adults without diagnosed diabetes (ages 20-64 years; n = 3071) provided conventional anthropometry and supine SAD (by sliding-beam caliper) in the 2011-2012 US National Health and Nutrition Examination Survey. Population-weighted, logistic models estimated how strongly each anthropometric indicator was associated with 5 cardiometabolic disorders: Dysglycemia (glycated hemoglobin ≥5.7%), HyperNonHDLc (non-high-density-lipoprotein [HDL] cholesterol ≥4.14 mmol/L, or taking anticholesteremic medications), Hypertension (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, or taking antihypertensive medications), HyperALT (alanine transaminase ≥p75 [75th percentile, sex-specific]), and HyperGGT (gamma-glutamyltransferase ≥p75 [sex-specific]).
resultsAfter scaling each indicator, adjusted odds ratios (aORs) tended to be highest for SADHtR and lowest for BMI when identifying each disorder except dysglycemia. When SADHtR entered models simultaneously with BMI, the aORs for BMI no longer directly identified any condition, whereas SADHtR identified persons with HyperNonHDLc by aOR 2.78 (95% confidence interval [CI], 1.71-4.51), Hypertension by aOR 2.51 (95% CI, 1.22-5.15), HyperALT by aOR 2.89 (95% CI, 1.56-5.37), and HyperGGT by aOR 5.43 (95% CI, 3.01-9.79). WHtR competed successfully against BMI with regard to Dysglycemia, HyperNonHDLc, and HyperGGT. c-Statistics of SADHtR and WHtR were higher than those of BMI (P <.001) for identifying HyperNonHDLc and HyperGGT.
conclusionsAmong nonelderly adults, SADHtR or WHtR recognized cardiometabolic disorders better than did the BMI.
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