Prediction of cardiovascular disease by abdominal obesity measures is dependent on body weight and sex – Results from two community based cohort studies

Carlsson, Axel C.; Risérus, Ulf; Ärnlöv, Johan; Borné, Yan; Leander, Karin; Gigante, Bruna; Hellénius, Mai-Lis; Bottai, Matteo; Fairé, Ulf dé

doi:10.1016/j.numecd.2014.02.001

Cited by 25 publications

(18 citation statements)

References 38 publications

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“…However, their lower correlation with abdominal waist and the overlapping of the fat component make that scientific and anthropometric inference lead us to believe that UWHtR, with its high discriminatory power and improved correlation with waist circumference, with no overlapping of other components, can more accurately translate into individual cardiometabolic risk. In Spain, individuals from Canarias 24 and from PREDIMED study 25 reveal better curves for WHtR as a predictor of cardiovascular risk and diabetes in line with the validity of WHtR as a predictor of cardiovascular disease in international studies 15,[29][30] . Ours study is the first to confirm these findings in ACS patients, reinforcing the validity of WHtR although pending the determination of an age-optimized cut-off point and adding that the utilization of UW as the numerator is a stronger criteria that improves the power of such ratio.…”

Section: Discussionsupporting

confidence: 60%

Obesidad e indicadores antropométricos en una muestra de varones con Síndrome Coronario Agudo, en un Área de Salud que incluye reclusos: estudio caso-control

Martín-Castellanos¹,

Barca

Cabañas

et al. 2015

Rev. esp. sanid. penit.

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Objectives: Obesity is a cardiovascular risk factor with a high epidemic burden on ischemic heart disease. The aim of this study was to analyze the anthropometric indicators of obesity in a sample of males who have had an Acute Coronary Syndrome (ACS) diagnosed in a prison referral hospital, and a control group.Material and methods: Cross-sectional case-control study in a Health Area with inclusion of a penitentiary center. The participants in this study were 204 males, 102 cases and one control selected for each case (n=102). We measured weight, height waist circumference (WC), umbilical waist (UW) and hip circumference. We calculated body mass index (BMI) and other anthropometric indicators: waist to-hip-ratios (WHR and UWHR), waist to-height-ratios (WHtR and UWHtR). We obtained the areas under the receiver operating characteristic curves (AUC), the odds ratio (OR) and the correlations in the infarcted people.

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Section: Discussionsupporting

confidence: 60%

Obesidad e indicadores antropométricos en una muestra de varones con Síndrome Coronario Agudo, en un Área de Salud que incluye reclusos: estudio caso-control

Martín-Castellanos¹,

Barca

Cabañas

et al. 2015

Rev. esp. sanid. penit.

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“…One study showed that SAD >25 cm was the only anthropometric measurement associated with major CVD events in patients with T2D (4). Similary, a different study showed that SAD was the only measure that significantly predicted CVD in men, but not in women (9). This study also showed that SAD could predict CVD after adjustments for traditional biomarkers such as total- and HDL cholesterol and systolic blood pressure.…”

Section: Discussionmentioning

confidence: 80%

“…For hard endpoints such as CVD, SAD has been shown to be a better predictor than WC (4,9). One study showed that SAD >25 cm was the only anthropometric measurement associated with major CVD events in patients with T2D (4).…”

Section: Discussionmentioning

confidence: 99%

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Sagittal abdominal diameter and waist circumference are equally good as identifiers of cardiometabolic risk

Møller

Ritz

Vuholm

et al. 2019

Preprint

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BackgroundBody mass index (BMI) and waist circumference (WC) are commonly used markers of cardiometabolic risk. However, sagittal abdominal diameter (SAD) has been proposed to be a better marker of intra-abdominal obesity compared to WC and might better associate with metabolic disturbances in high-risk populations. The objective of this study was to compare SAD, WC, and BMI as determinants of an adverse metabolic phenotype.MethodAnthropometric and metabolic measures of 1516 overweight or obese individuals with features of the metabolic syndrome were included to examine differences between SAD, WC and BMI as measures of an adverse metabolic phenotype. Multiple linear regression and logistic regression models were used to investigate the association between SAD, WC, and BMI and markers of metabolic syndrome, insulin resistance, blood lipids, and low grade inflammation.ResultsBoth SAD and WC correlated with BMI, but as BMI increased, SAD proportionately estimated higher abdominal adiposity compared to WC (slope = 0.0037 (0.0029; 0.0046), p<0.0001). We did not find major differences between SAD, WC and BMI in explained variance in models with the different markers of metabolic risk. Furthermore, we did not find differences between SAD and WC in the ability to identify individuals with metabolic syndrome according to the International Diabetes Federation (IDF) cut-offs, but a few differences from BMI were indicated but mostly before adjustments. Moreover, the differences between SAD and WC associations were not modified by sex or degree of adiposity, but identification of individuals with a metabolic phenotype was generally better in women.ConclusionThese data indicate that SAD and WC are equally good indicators of an adverse metabolic phenotype. Thus, from a public health perspective choice of anthropometric measure may depend only on what is the most practical method in a given situation.

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“…An 11-year longitudinal Swedish study reported on SAD and incident cardiovascular disease. For participants with baseline BMI ≥25 kg m −2 , the prediction by SAD was greater than by WC for both sexes, greater than by waist/hip ratio for women, but less than by waist/hip ratio for men (42). Without stratification by baseline BMI, the prediction by the SAD/height ratio was greater than by WC or BMI for both sexes, greater than by waist/hip ratio for women, but less than by waist/hip ratio for men (29).…”

Section: Discussionmentioning

confidence: 96%

The population distribution of the sagittal abdominal diameter (SAD) and SAD/height ratio among Finnish adults

et al. 2014

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Summary Sagittal abdominal diameter (SAD; ‘abdominal height’ measured in supine position) may improve upon conventional anthropometry for predicting incident cardiometabolic diseases. However, the SAD is used infrequently by practitioners and epidemiologists. A representative survey of Finnish adults in 2000–2001 collected body measurements including SAD (by sliding-beam calliper) using standardized protocols. Sampled non-pregnant adults (ages 30+ years; 79% participation) provided 6123 SAD measurements from 80 health centre districts. Through stratified, complex survey design, these data represented 2.86 million adults at ages 30+ years. SAD ranged from 13.5 to 38.0 cm, with a population mean (standard error) of 21.7 (0.05) cm and median (interquartile range) of 21.0 (19.1–23.4). Median SAD was higher at ages 50+ years compared with ages 30–49 both for men (22.4 [20.5–24.6] vs. 20.8 [19.3–22.7]) and women (21.7 [19.6–23.9] vs. 19.4 [17.8–21.4]). The SAD/height ratio was similar (0.118) for both sexes at 30–39 years, rising more steeply with age for women than men. Attaining only a basic education, compared with a high level, was associated with increased mean (95% confidence interval) SADs for men (22.6 [22.3–22.8] vs. 22.0 [21.7–22.2]) and women (21.8 [21.5–22.0] vs. 20.6 [20.4–20.8]). Finland’s early experience with nationally representative SAD measurements provides normative reference values and physiological insights useful for investigations of cardiometabolic risk.

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Prediction of cardiovascular disease by abdominal obesity measures is dependent on body weight and sex – Results from two community based cohort studies

Cited by 25 publications

References 38 publications

Obesidad e indicadores antropométricos en una muestra de varones con Síndrome Coronario Agudo, en un Área de Salud que incluye reclusos: estudio caso-control

Obesidad e indicadores antropométricos en una muestra de varones con Síndrome Coronario Agudo, en un Área de Salud que incluye reclusos: estudio caso-control

Sagittal abdominal diameter and waist circumference are equally good as identifiers of cardiometabolic risk

The population distribution of the sagittal abdominal diameter (SAD) and SAD/height ratio among Finnish adults

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