Relation of Abdominal Height to Cardiovascular Risk Factors in Young Adults: The Bogalusa Heart Study

Gustat, Jeanette; Elkasabany, Abdalla; Srinivasan, Sathanur R.; Berenson, Gerald S.

doi:10.1093/oxfordjournals.aje.a010292

Cited by 78 publications

(67 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nevertheless, SAD and WC showed higher correlations with insulin than W/H in these young healthy adults. 9 In our study, the Pearson correlation coefficient between SAD and WC was 0.69 (Po0.0001). SAD, along the trends of WC, showed significant correlations with insulin sensitivity indices (Tables 3 and 4).…”

Section: Discussionsupporting

confidence: 49%

“…6 Sagittal abdominal diameter (SAD) has been proposed to be an alternative of WC as a surrogate of body fat distribution. 7 It is highly correlated with visceral fat 8 and is significantly related to fasting glucose and insulin 9,10 and other cardiovascular risk factors 7,9,10 in Caucasians. In the current study, we hypothesize that SAD is associated with insulin sensitivity in hypertensive patients and their siblings at least as well as WC.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sagittal abdominal diameter is associated with insulin sensitivity in Chinese hypertensive patients and their siblings

et al. 2003

View full text Add to dashboard Cite

The purpose of the study is to observe the relation between anthropometric measurements, focusing on sagittal abdominal diameter (SAD), and insulin sensitivity indices in Chinese hypertensive patients and their siblings. In total, 907 participants, 537 hypertensive and 370 nonhypertensive, from 311 Taiwanese families were drawn from the Stanford Asia and Pacific Program for Hypertension and Insulin Resistance for the study. The participants received anthropometric measurements and 75-g oral glucose tolerance tests after an overnight fast. Fasting insulin, homeostasis model assessment for insulin resistance (HOMA-IR), and the insulin sensitivity index ISI 0,120 were chosen as surrogate measures of insulin sensitivity. In addition to Pearson and partial correlations, we used generalized estimating equations (GEEs) to examine the association between anthropometric measurements and insulin sensitivity indices. A small deviance in the GEEs indicates the goodness of model fit, irrespective of the independence among variables. The hypertensive patients were older in age, wider in waist circumference (WC), larger in body mass index (BMI) and SAD, and more insulin resistant than the nonhypertensive counterparts. The logarithmic transformation of fasting insulin, HOMA-IR, and ISI 0,120 significantly correlated with SAD, WC, and BMI before and after adjustments for age and sex. The deviances of SAD in the GEEs were similar to those of WC in all subjects, while BMI had smaller deviances than SAD and WC in the hypertensive patients. Our results suggest that the performance of SAD in predicting insulin sensitivity is comparable with WC in Chinese hypertensive patients and their siblings. BMI, however, seems to have better association with insulin sensitivity than SAD and WC in the patients with hypertension.

show abstract

Section: Discussionsupporting

confidence: 49%

Section: Introductionmentioning

confidence: 99%

Sagittal abdominal diameter is associated with insulin sensitivity in Chinese hypertensive patients and their siblings

et al. 2003

View full text Add to dashboard Cite

show abstract

“…[31][32][33][34][35] The waist:height ratio also shows some promise as useful measure of size-adjusted central adiposity. [36][37][38] The addition of circumferential measures may help to address the major weakness of BMI: its inability to distinguish between elevated adiposity and elevated lean mass. From a public health perspective, the observation that BMI in children and adolescents A Must and SE Anderson from 1987 to B1997 waist circumferences of British children increased more than BMI 33 suggests that surveillance by BMI alone may obscure important changes in body composition 39 at the population level.…”

Section: Looking To the Futurementioning

confidence: 99%

Body mass index in children and adolescents: considerations for population-based applications

2006

View full text Add to dashboard Cite

After several years of experience with body mass index (BMI)-for-age reference standards in the US, the UK, and elsewhere, reflection on 'how things are going' seems timely. In this issue, Reilly 1 offers a summary of the evidence base for the diagnostic accuracy of BMI in youth and his perspective on what is achieved by a definition of overweight and obesity based on high BMI. To complement this, in our short review, we describe the BMI measure itself, the utility of a BMI z-score (s.d. score), their utility in cross-sectional and longitudinal applications in public health/surveillance, clinical and population-based research settings. Body mass index definedBody mass index is a measure of weight adjusted for height. It is calculated as weight in kilograms divided by the square of height in meters. Although BMI is an imperfect tool -it does not distinguish overweight due to excess fat mass from overweight due to excess lean mass -it is the most commonly used measure for assessing obesity in adults. Other methods of determining adiposity are more accurate, 2 but have limited applicability to screening or studying large populations. The BMI is well correlated with these more direct fatness measures, 3,4 and weight and height are simple, inexpensive, non-invasive measurements that are recorded routinely in clinical and research settings.Others have discussed the limitations of clinical screening for high adiposity by comparing weight centiles to height centiles, 5 and the inaccuracy of assessing overweight by observation or 'eye-balling' has been established. 6,7 Therefore, for screening or for epidemiologic research, using a weight/height index to define obesity has advantages that outweigh its limitations. Despite the likelihood of misclassification of the small percentage of individuals whose high BMI is due to lean muscle mass (e.g. some professional athletes), the great majority of individuals with high BMI have excess body fat. Use of body mass index in children and adolescentsThe BMI is used to assess weight status in children and adolescents as well as adults, but whereas in adults the BMI cut points that define obesity and overweight are not linked to age and do not differ for males and females, in growing children BMI varies with age and sex. Thus, a 5-year-old boy with a BMI of 20 kg/m 2 is likely to be overfat, but a 15-yearold boy with a BMI of 20 kg/m 2 is likely to be lean. As a result, for BMI to be meaningful in children it must be compared to a reference-standard that accounts for child age and sex.

show abstract

“…The anatomical place used for the assessing differs between the studies, being used the smallest waist between the thorax and hip 38 ; the highest abdominal height quantification of the visceral adipose tissue area and, maybe, the most indicated for assessing of SAD 42 .…”

Section: Sagittal Abdominal Diametermentioning

confidence: 99%

Indicadores antropométricos de resistência à insulina

Vasques¹,

Rosado²,

Rosado³

et al. 2010

Arq. Bras. Cardiol.

View full text Add to dashboard Cite

standardization deficiencies for its execution, limiting the comparison between different laboratories results' and its application in clinical practice 4 .Studies have correlated the isolated anthropometric measures and the anthropometric indexes with IR [5][6][7][8][9] . The anthropometric indicators arise as an alternative for IR's evaluation with lower cost and higher easiness of application in epidemiological studies and in health basic attention services. Because of the importance of this theme, the objective was to discuss about the main measures and the anthropometric indexes that have been associated with IR. MethodologyA bibliographic review was performed on available periodics in scientific bases, such as Scielo, Science Direct and Pubmed. The keywords used for the search of articles were: insulin resistance; anthropometry; body mass index; waist circumference; sagittal abdominal diameter; waist-hip ratio; conicity index; waist-thigh ratio; neck circumference; and waiststature ratio. Published articles were selected between 1990 and 2007, besides of the incorporation of classic previously published papers concerning the theme. Most of the studies included in this review were transversal. Some case-control and cohorts works were also discussed. Articles characterized by scientific rigidity, concerning the sample's size and statistical analysis appropriate to the objectives of the study. Insulin resistance Laboratorial determinationIR can be determined directly from the management of a predetermined quantity of exogenous insulin, or indirectly, based on the concentrations of endogenous insulin 10 .The euglycemic hyperinsulinemic clamp is an example of a direct technique that allows the determination of a metabolized insulin quantity, by the peripheric tissues during the stimulation with insulin. Although nowadays it is the golden standard technique for evaluating the IR in vivo, it is costly, slowly and of high complexity, being feasible its application in population studies, and especially in clinical practice AbstractSome studies have analyzed the efficacy of anthropometric indicators in predicting insulin resistance (IR), for they are more economic and accessible. In this study, the objective was to discuss the measures and anthropometric indices that have been associated with IR. A bibliographic review was done, based on Scielo, Science Direct and Pubmed. Among these studies, waist and sagittal abdominal diameter presented better predictive capacity for IR, with more consistent results. The waist-to-thigh, waist-to-size, neck-to-thigh ratios, the conicity and the sagittal index have showed positive results; nevertheless, more studies are necessary to consolidate them as predictors to IR. The obtained results, with the use of body mass index and of the waist-to-hip ratio, were inconsistent. In the Brazilian population, the realization of studies evaluating the performance of these indicators in predicting IR is suggested, since the results of the studies conducted in other populations are not always...

show abstract

Relation of Abdominal Height to Cardiovascular Risk Factors in Young Adults: The Bogalusa Heart Study

Cited by 78 publications

References 23 publications

Sagittal abdominal diameter is associated with insulin sensitivity in Chinese hypertensive patients and their siblings

Sagittal abdominal diameter is associated with insulin sensitivity in Chinese hypertensive patients and their siblings

Body mass index in children and adolescents: considerations for population-based applications

Indicadores antropométricos de resistência à insulina

Contact Info

Product

Resources

About