Different measurements of waist circumference and sagittal abdominal diameter and their relationship with cardiometabolic risk factors in elderly men

Anunciação, Pamella Cristine; Ribeiro, Raquel; Pereira, M.; Comunian, M. C.

doi:10.1111/jhn.12201

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…Studies comparing SAD protocols suggest, however, that the NHANES protocol for SAD may be the most appropriate for identifying health risks [46,47]. A very similar protocol for SAD measurement was used successfully in a nationwide survey of over 6000 Finnish adults in 2000–2001 [48].…”

Section: Discussionmentioning

confidence: 99%

Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population

Kahn

Cheng

2018

Diabetes Research and Clinical Practice

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Aims We hypothesized that height-corrected abdominal size (supine sagittal abdominal diameter/height ratio [SADHtR] or waist circumference/height ratio [WHtR]) would associate more strongly than body mass index (BMI, weight/height2) with levels of fasting insulin, triglycerides, and three derived biomarkers of insulin resistance. Methods Anthropometry, including SAD by caliper, was collected on 4398 adults in the 2011–2014 National Health and Nutrition Examination Survey. For comparison purposes, each adiposity indicator was scaled to its population-based, sex-specific, interquartile range (IQR). For each biomarker we created four outcome groups based on equalsized populations with ascending values. Multivariable polytomous logistic regression modeled the relationships between the adiposity indicators and each biomarker. Results Highest-group insulin was associated with a one-IQR increment of BMI (RR 4.3 [95% CI 3.9–4.9]), but more strongly with a one-IQR increment of SADHtR (RR 5.7 [5.0–6.6]). For highest-group HOMA-IR the RR for BMI (4.2 [3.7–4.6]) was less than that of SADHtR (6.0 [5.1–7.0]). Similarly, RRs for BMI were smaller than those for SADHtR applying to highest-group triglycerides (RR 1.6 vs 2.1), triglycerides/HDL-cholesterol (RR 1.9 vs 2.4) and TyG index (RR 1.7 vs 2.2) (all p < .001). The RRs for WHtR were consistently between those for SADHtR and BMI. The top 25% of insulin resistance among US adults was estimated to lie above adiposity thresholds of 0.140 for SADHtR, 0.606 for WHtR, or 29.6 kg/m2 for BMI. Conclusions Relative abdominal size rather than relative weight may better define adiposity associated with homeostatic insulin resistance. These population-based, cross-sectional findings could improve anthropometric prediction of cardiometabolic risk.

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Section: Discussionmentioning

confidence: 99%

Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population

Kahn

Cheng

2018

Diabetes Research and Clinical Practice

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“…Sagittal abdominal diameter has been proposed as a better marker of abdominal visceral adiposity than waist circumference with validation studies comparing SAD to imaging techniques demonstrating correlation coefficients between 0.724 and 0.804 (Kullberg et al ., ; Yim et al ., ). Studies undertaken in populations differing in ethnicity, age and BMI have identified SAD as a better predictor of cardiovascular, metabolic risk (Valsamakis et al ., ; Kullberg et al ., ; Risérus et al ., ; Yim et al ., ; Gletsu‐Miller et al ., ; Anunciação et al ., ), although this has not yet been evaluated by systematic review. Cut‐off values for predicting elevated cardiovascular risk have been proposed (Table ) and further work is required to establish prognostically useful values in more diverse populations.…”

Section: Trunk Circumferences and Diametermentioning

confidence: 99%

Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables

Madden

Smith

2014

J Human Nutrition Diet

219

191

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Evaluation of body composition is an important part of assessing nutritional status and provides prognostically useful data and opportunity to monitor the effects of nutrition-related disease progression and nutritional intervention. The aim of this narrative review is to critically evaluate body composition methodology in adults, focusing on anthropometric variables. The variables considered include height, weight, body mass index and alternative indices, trunk measurements (waist and hip circumferences and sagittal abdominal diameter) and limb measurements (midupper arm and calf circumferences) and skinfold thickness. The importance of adhering to a defined measurement protocol, checking measurement error and the need to interpret measurements using appropriate population-specific cut-off values to identify health risks were identified. Selecting the optimum method of assessing body composition using anthropometry depends on the purpose, i.e. evaluating obesity or undernutrition, and requires practitioners to have a good understanding of both practical and theoretical limitations and to wisely interpret the results.

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“…The sample size was calculated considering 4.3% as the frequency of MS observed in a previous study 12 , an acceptable range of variation of 5% and 95% as the alpha risk, resulting in a minimum sample of 62 elderly men. Exclusion criteria were: previous coronary events and use of medications that could interfere with glucose homeostasis, blood pressure and/or lipid metabolism.…”

Section: Methodsmentioning

confidence: 99%

Indicadores antropométricos na identificação de resistência à insulina em homens idosos

Anunciação

Ribeiro

2015

Mundo Saúde

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Insulin resistance (IR) increases with advancing age, yet the underlying mechanism is not well established. Anthropometric and body composition indicators are alternative tools for assessing insulin resistance in a fast, non-invasive and inexpensive way. This study aimed to evaluate the association between anthropometric indicators and insulin resistance in older men. This cross-sectional study included 62 men aged between 60 and 92 years. We evaluated waist circumference (WC), sagittal abdominal diameter (SAD), body mass index (BMI), sagittal index (SI), conicity index (CI), body fat percentage (BF%), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and waist-to-thigh ratio (WTR). IR was determined by homeostasis model assessment (HOMA-IR). Statistical analysis consisted of correlation coefficient. All anthropometric indicators correlated with HOMA-IR, highlighting the SAD (r = 0.680), BF% (r = 0.651) and WC (r = 0.591), which showed the highest correlations with the index. All measurements showed significant differences and progressive increase with increasing HOMA-IR. The differences between quartiles of HOMA-IR were even more pronounced for WC, SAD and BF%. BF% was a significant predictor for insulin resistance. Thus, obesity indicators correlated with the HOMA-IR index. We emphasize the stronger relationship between measures of central adiposity and insulin resistance, suggesting the usefulness of SAD in evaluating elderly subjects.Keywords: Elderly. Anthropometry. Body Composition. HOMA. ResumoA resistência à insulina (RI) aumenta com o avanço da idade, no entanto os mecanismos não estão bem estabelecidos. Os indicadores antropométricos e de composição corporal são instrumentos alternativos para a avaliação da resistência à insulina de maneira rápida, não-invasiva e de baixo custo. O objetivo deste estudo foi avaliar a associação entre os indicadores antropométricos e a resistência à insulina em homens idosos. Estudo transversal com 62 homens com idade entre 60 e 92 anos. Foram avaliados perímetro da cintura (PC), diâmetro abdominal sagital (DAS), índice de massa corporal (IMC), índice sagital (IS), índice de conicidade (ICO), percentual de gordura corporal (%GC) e as relações cintura-quadril (RCQ), cintura-estatura (RCE) e cintura-coxa (RCC). RI foi determinada pelo índice de resistência à insulina (HOMA-IR). Análises estatísticas consistiram de análises de correlação e regressão linear. Todos os indicadores antropométricos avaliados correlacionaram-se com o HOMA-IR, destacando-se o DAS (r = 0,680), o %GC (r = 0,651) e o PC (r = 0,591), que apresentaram as maiores correlações com o índice. Todos os indicadores apresentaram aumento progressivo e diferenças significativas com o aumento do HOMA-IR, sendo que para o PC, DAS e %GC as diferenças entre os quartis do HOMA-IR foram ainda mais acentuadas. %PC foi preditor significativo para resistência à insulina. Portanto, os indicadores de obesidade correlacionaram com o índice HOMA-IR. Ressalta-se a relação mais forte das medidas de adiposidade cen...

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Different measurements of waist circumference and sagittal abdominal diameter and their relationship with cardiometabolic risk factors in elderly men

Abstract: SAD measured at the midpoint between the iliac crests and WC measured at the narrowest waist showed the best relationships with cardiometabolic risk factors in elderly men.

Cited by 18 publications

References 17 publications

Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population

Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population

Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables

Indicadores antropométricos na identificação de resistência à insulina em homens idosos

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