ArticlePloS one2014
Population distribution of the sagittal abdominal diameter (SAD) from a representative sample of US adults: comparison of SAD, waist circumference and body mass index for identifying dysglycemia.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Evaluation of Health Associations With Height-Normalised Abdominal Body Composition Indices: A Single-Centre Cross-Sectional Study.Journal of cachexia, sarcopenia and muscle · 2024Article
- Prediction of total and regional body composition from 3D body shape.NPJ digital medicine · 2024Article
- Sagittal Abdominal Diameter as the Best Predictor of Metabolic Syndrome in HIV-Infected Men on Antiretroviral Therapy.Current HIV research · 2024Article
- Identifying metabolic syndrome in migrant Asian Indian adults with anthropometric and visceral fat action points.Diabetology & metabolic syndrome · 2022Article
- Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.Frontiers in psychology · 2021Review
- Sagittal abdominal diameter as a marker of visceral obesity in older primary care patients.Journal of geriatric cardiology : JGC · 2020Article
- Relationship between Depression Symptoms and Different Types of Measures of Obesity (BMI, SAD) in US Women.Behavioural neurology · 2020Article
- Examination of different definitions of snacking frequency and associations with weight status among U.S. adults.PloS one · 2020Article
- A proinflammatory diet is associated with inflammatory gene expression among healthy, non-obese adults: Can social ties protect against the risks?Brain, behavior, and immunity · 2019Article
- 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
- [Above and beyond BMI : Alternative methods of measuring body fat and muscle mass in critically ill patients and their clinical significance].Der Anaesthesist · 2016Review
- Low CD36 and LOX-1 Levels and CD36 Gene Subexpression Are Associated with Metabolic Dysregulation in Older Individuals with Abdominal Obesity.Journal of diabetes research · 2016Article
- Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy.Advances in nutrition (Bethesda, Md.) · 2016Review
- Beyond Body Mass Index: Advantages of Abdominal Measurements for Recognizing Cardiometabolic Disorders.The American journal of medicine · 2016Article
- The population distribution of the sagittal abdominal diameter (SAD) and SAD/height ratio among Finnish adults.Clinical obesity · 2014Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe sagittal abdominal diameter (SAD) measured in supine position is an alternative adiposity indicator that estimates the quantity of dysfunctional adipose tissue in the visceral depot. However, supine SAD's distribution and its association with health risk at the population level are unknown. Here we describe standardized measurements of SAD, provide the first, national estimates of the SAD distribution among US adults, and test associations of SAD and other adiposity indicators with prevalent dysglycemia. METHODS AND
findingsIn the 2011-2012 National Health and Nutrition Examination Survey, supine SAD was measured ("abdominal height") between arms of a sliding-beam caliper at the level of the iliac crests. From 4817 non-pregnant adults (age ≥ 20; response rate 88%) we used sample weights to estimate SAD's population distribution by sex and age groups. SAD's population mean was 22.5 cm [95% confidence interval 22.2-22.8]; median was 21.9 cm [21.6-22.4]. The mean and median values of SAD were greater for men than women. For the subpopulation without diagnosed diabetes, we compared the abilities of SAD, waist circumference (WC), and body mass index (BMI, kg/m(2)) to identify prevalent dysglycemia (HbA1c ≥ 5.7%). For age-adjusted, logistic-regression models in which sex-specific quartiles of SAD were considered simultaneously with quartiles of either WC or BMI, only SAD quartiles 3 (p<0.05 vs quartile 1) and 4 (p<0.001 vs quartile 1) remained associated with increased dysglycemia. Based on continuous adiposity indicators, analyses of the area under the receiver operating characteristic curve (AUC) indicated that the dysglycemia model fit for SAD (age-adjusted) was 0.734 for men (greater than the AUC for WC, p<0.001) and 0.764 for women (greater than the AUC for WC or BMI, p<0.001).
conclusionsMeasured inexpensively by bedside caliper, SAD was associated with dysglycemia independently of WC or BMI. Standardized SAD measurements may enhance assessment of dysfunctional adiposity.
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