ArticlePloS one2015
Sagittal Abdominal Diameter as a Surrogate Marker of Insulin Resistance in an Admixtured Population--Brazilian Metabolic Syndrome Study (BRAMS).
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Practical Guidance for Interventions in Adults with Metabolic Syndrome: Diet and Exercise vs. Changes in Body Composition.International journal of environmental research and public health · 2019Pooled it
- Anthropometry of Kyrgyz children: A study on the effects of age and gender.Journal of back and musculoskeletal rehabilitation · 2025Article
- Visceral fat assessment in rectal adenocarcinoma: the role of computed tomography, sagittal abdominal diameter, and waist circumference.Acta cirurgica brasileira · 2025Article
- Identifying metabolic syndrome in migrant Asian Indian adults with anthropometric and visceral fat action points.Diabetology & metabolic syndrome · 2022Article
- Association between dietary patterns and body composition in normal-weight subjects with metabolic syndrome.Journal of diabetes and metabolic disorders · 2022Article
- Milk-Fat Intake and Differences in Abdominal Adiposity and BMI: Evidence Based on 13,544 Randomly-Selected Adults.Nutrients · 2021Article
- Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.Frontiers in psychology · 2021Review
- Article
- Sagittal abdominal diameter and Framingham risk score in non-dialysis chronic kidney disease patients.International urology and nephrology · 2018Article
- Twelve Weeks of Yoga or Nutritional Advice for Centrally Obese Adult Females.Frontiers in endocrinology · 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
- Beyond Body Mass Index: Advantages of Abdominal Measurements for Recognizing Cardiometabolic Disorders.The American journal of medicine · 2016Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSagittal abdominal diameter (SAD) has been proposed as a surrogate marker of insulin resistance (IR). However, the utilization of SAD requires specific validation for each ethnicity. We aimed to investigate the potential use of SAD, compared with classical anthropometrical parameters, as a surrogate marker of IR and to establish the cutoff values of SAD for screening for IR.
methodsA multicenter population survey on metabolic disorders was conducted. A race-admixtured sample of 824 adult women was assessed. The anthropometric parameters included: BMI, waist circumference (WC), waist-to-hip ratio and SAD. IR was determined by a hyperglycemic clamp and the HOMA-IR index.
resultsAfter adjustments for age and total body fat mass, SAD (r = 0.23 and r = -0.70) and BMI (r = 0.20 and r = -0.71) were strongly correlated with the IR measured by the HOMA-IR index and the clamp, respectively (p < 0.001). In the ROC analysis, the optimal cutoff for SAD in women was 21.0 cm. The women with an increased SAD presented 3.2 (CI 95%: 2.1-5.0) more likelihood of having IR, assessed by the HOMA-IR index compared with those with normal SAD (p < 0.001); whereas women with elevated BMI and WC were 2.1 (95% CI: 1.4-3.3) and 2.8 (95% CI: 1.7-4.5) more likely to have IR (p < 0.001), respectively. No statistically significant results were found for waist-to-hip ratio.
conclusionsSAD can be a suitable surrogate marker of IR. Understanding and applying routine and simplified methods is essential because IR is associated with an increased risk of obesity-related diseases even in the presence of normal weight, slight overweight, as well as in obesity. Further prospective analysis will need to verify SAD as a determinant of clinical outcomes, such as type 2 diabetes and cardiovascular events, in the Brazilian population.
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