ArticleNutrition, metabolism, and cardiovascular diseases : NMCD2017
The impact of using sagittal abdominal diameter to predict major cardiovascular events in European patients with type 2 diabetes.
Article in Nutrition, metabolism, and cardiovascular diseases : NMCD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01049737 (Cardiovascular Risk Factors in Patients With Diabetes -a Prospective Study in Primary Care), which is not on this map. Cited by 15 papers.
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Cardiovascular Risk Factors in Patients With Diabetes -a Prospective Study in Primary Care
Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Opportunistic measurement of sagittal abdominal diameter with bone densitometry predicts death and cardiovascular events.JBMR plus · 2025Article
- Pharmacotherapy for Obesity: Recent Updates.Clinical pharmacology : advances and applications · 2025Review
- 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
- Association between weight-adjusted waist index with incident stroke in the elderly with hypertension: a cohort study.Scientific reports · 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
- Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis.Communications medicine · 2024Article
- Anthropometric measurements and their association with endothelial function and arterial stiffness of eutrophic individuals and with overweight.Archives of endocrinology and metabolism · 2023Article
- Anthropometric estimators of abdominal fat volume in adults with overweight and obesity.International journal of obesity (2005) · 2023Article
- Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.Frontiers in psychology · 2021Review
- Simply the Best: Anthropometric Indices for Predicting Cardiovascular Disease.Diabetes & metabolism journal · 2019Article
- Abdominal obesity, metabolic dysfunction, and metabolic syndrome in U.S. adolescents: National Health and Nutrition Examination Survey 2011-2016.Annals of epidemiology · 2019Article
- Article
- 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 predicts cardiovascular events.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2017Article
- Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsObesity is associated with diabetes type 2 and one of the most important risk factors for cardiovascular disease. We explored if sagittal abdominal diameter (SAD) is a better predictor of major cardiovascular events than waist circumference (WC) and body mass index (BMI) in type 2 diabetes. METHODS AND
resultsThe CARDIPP study consists of a cohort of patients with type 2 diabetes. In this study we used data from 635 participants with no previous myocardial infarction or stroke, with a mean follow-up time of 7.1 years. SAD, WC and BMI were measured at baseline and the end-point was first cardiovascular event, measured as a composite of ICD-10 codes for acute myocardial infarction, stroke or cardiovascular mortality. SAD was significantly higher in the major cardiovascular event group compared to participants that did not suffer a major cardiovascular event during follow-up (p < 0.001). SAD >25 cm was the only anthropometric measurement that remained associated with major cardiovascular events when adjusted for modifiable and non-modifiable factors (hazard ratio 2.81, 95% confidence interval 1.37-5.76, p = 0.005).
conclusionSAD with the cut off level of >25 cm, if confirmed in larger studies, may be used as a more independent risk-assessment tool compared with WC in clinical practice, to identify persons with type 2 diabetes at high cardiovascular risk. ClinicalTrials.gov: NCT01049737.
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