Relative sitting height and the interpretation of the body mass index

Norgan, N. G.

doi:10.1080/03014469400003092

Cited by 75 publications

(65 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This adjusted measure has been proposed for Inuit (10) and involves conducting a linear regression of the SH/H relationship to obtain the intercept and beta coefficient (slope) for predicting BMI. The intercept and beta coefficient are then used in a formula to adjust the BMI for relative sitting height (10,11,12,13). In an earlier study with a small sample size of Inuit, the externally derived beta coefficients and intercepts published to date (11,12,13) were used to adjust BMI for SH/H (6).…”

Section: Methodsmentioning

confidence: 99%

“…The intercept and beta coefficient are then used in a formula to adjust the BMI for relative sitting height (10,11,12,13). In an earlier study with a small sample size of Inuit, the externally derived beta coefficients and intercepts published to date (11,12,13) were used to adjust BMI for SH/H (6). However, in the current study, which has a larger sample size, the original methodology as recommended by was applied to the data to obtain an Inuit-specific intercept and beta coefficients for the adjustment procedure.…”

Section: Methodsmentioning

confidence: 99%

“…Also, if the standing height, sitting height, Obesity risks among Inuit WC or HC measurements fell between 2 millimetres, the even millimetre was recorded. SH was measured to calculate sitting-height-toheight ratios (SH/H) (Cormic Index) in order to adjust the observed BMI and obtain a standardized body mass index (BMIstd) (10)(11)(12)(13)(14)(15). This adjusted measure has been proposed for Inuit (10) and involves conducting a linear regression of the SH/H relationship to obtain the intercept and beta coefficient (slope) for predicting BMI.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Obesity risks: towards an emerging Inuit pattern

Château-Degat

Dewailly

Charbonneau

et al. 2011

International Journal of Circumpolar Health

View full text Add to dashboard Cite

Objectives. The aim of this study was to provide analytical overviews of anthropometric measurements and their relationships with type 2 diabetes and cardiovascular disease (CVD) risk factors within the Inuit population, given that few studies have focused on this issue. Study design. Cross-sectional study. Methods. Anthropometric and biological data were obtained from 867 Inuit participants from Nunavik (≥18 years). Results. Obesity prevalence for men and women, respectively, was 25.1% and 31.3% according to body mass index (BMI: >30 kg/m 2 ); 20.2% and 55.3% according to waist circumference (WC: >102 cm for men and >88 cm for women); 22.4% and 22.5% according to body fat percentage (%BF: ≥30 in men and ≥40 in women). There was substantial agreement between anthropometric obesity measurements, except for the waist-to-hip ratio (WHR) which showed the lowest agreement with the other measurements. All risk factors were significantly associated with anthropometry. The prevalence of abnormal values for risk factors increased across quartiles of BMI and WC. Among obese participants, as defined by the WC cutoff, 22% had metabolic syndrome based on the National Cholesterol Education Program in the Adult Treatment Panel III (NCEP-ATPIII) definition and 64.8% of them were also insulin resistant. Conclusion. Obesity rates among Inuit are high, especially among women. Inuit women display especially high rates of abdominal obesity. Further longitudinal work is needed to evaluate the effects of central and global obesity among Inuit.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Obesity risks: towards an emerging Inuit pattern

Château-Degat

Dewailly

Charbonneau

et al. 2011

International Journal of Circumpolar Health

View full text Add to dashboard Cite

show abstract

“…Similarly, given the cutaneous laxity and altered connective tissue properties of these patients, body fat assessment using caliper measurement or measured waist circumference is likely to lead to an overestimation or underestimation of body fat, respectively. We chose to use the current Centers for Disease Control and Prevention definition of obesity to avoid these pitfalls, but realize that such definitions may underestimate obesity in these patients due to their relatively long limbs and increased sitting height to stature ratio (20). Thus, we may have underestimated the prevalence of obesity in Americans with Marfan syndrome.…”

Section: Limitationsmentioning

confidence: 99%

The prevalence and clinical impact of obesity in adults with Marfan syndrome

Yetman

McCrindle

2010

Canadian Journal of Cardiology

View full text Add to dashboard Cite

Despite improvement in survival noted throughout the past few decades (1), patients with Marfan syndrome remain at risk for premature death secondary to the cardiovascular complications of aortic dilation and dissection (2). Risk factors for such complications remain poorly defined, thereby impeding attempts at risk stratification for the individual patient. Family history of aortic dissection (3) and spontaneous genetic mutations (4) have been identified as risk factors but, currently, no potentially modifiable risk factors have been elucidated.The underlying biomechanical abnormalities in Marfan syndrome have been well described. Patients with Marfan syndrome have reduced aortic distensibility, which becomes progressively more abnormal with increasing age (5). These biomechanical abnormalities precede the vascular complication of aortic dilation and dissection, and may reflect both endothelial and vascular smooth muscle cell abnormalities of the aortic wall (6-8).The current obesity epidemic has been the subject of much lay and scientific attention. Obesity, hyperlipidemia, smoking and hypertension have been established as clear risk factors for atherosclerotic arterial disease (9). These risk factors predispose to impaired vascular endothelial function, thereby increasing the risk of vascular complications including coronary arterial obstructive disease and stroke (10). Marfan syndrome is characteristically associated with an asthenic body habitus; as a result, these patients have been considered to be exempt from the current obesity epidemic.We sought to determine the prevalence of obesity and overweight in an adult cohort of patients with Marfan syndrome, to assess the prevalence of other cardiovascular risk factors among this patient group -namely smoking, hyperlipidemia, diabetes and hypertensionand to determine what, if any, clinical impact such risk factors had on outcome in this patient cohort. BACKGROUND:Patients with Marfan syndrome characteristically have an asthenic body habitus and are considered to be exempt from the obesity epidemic. OBJECTIVE: To examine the prevalence and clinical impact of obesity in a cohort of adults with Marfan syndrome. METHODS: Fifty outpatients (30 female) with a mean (± SD) age of 38±13 years were studied. Demographic variables including previously identified risk factors for aortic dissection were recorded. Body mass index (BMI) was determined and patients were classified as normal (BMI less than 25 kg/m 2 ), overweight (BMI 25 kg/m 2 to 29.9 kg/m 2 ) or obese (BMI 30 kg/m 2 or greater). Other cardiovascular risk factors were examined. An adverse clinical outcome was defined as either the attainment of surgical criteria for aortic root replacement or the presence of aortic dissection. RESULTS: A family history of aortic dissection was present in 13 (26%) patients. In 23 (46%) patients, there was no known family history of Marfan syndrome. Mean BMI was 25.4±7.4 kg/m 2 , with 18 (36%) patients having an elevated BMI. Positive smoking status was present in 15 (30%), hyp...

show abstract

“…Possible explanations for the differences are the level of physical activity, relative length of the lower limbs, sitting height, or body build 21,22,23 .…”

Section: Introductionmentioning

confidence: 99%