Abstract:Objective: To evaluate the validity of currently recommended obesity cutoffs of body mass index (BMI, in kg/m 2 ) and waist circumference (WC, in cm) for Asians by the WHO/IASO/IOTF and for Chinese by the Working Group on Obesity in China (WGOC) using the percentage body fat (%BF)-obesity criteria. Design: A cross-sectional study. Subjects: A total of 1122 community-based Hong Kong Chinese women aged between 41 and 63 years. Measurements: Total %BF and percent truncal fat (%TF) were measured using dual-energy … Show more
“…Stavropoulous-Kalinoglou previously suggested that the BMI cut-point for obesity be reduced by 2 kg/m 2 (i.e., to 28) for individuals with RA; our analyses support cut-points that are even lower. Other investigators have also noted in non-RA populations that the current obesity cut-point of BMI≥30 is too high, has low sensitivity to detect adiposity in the general population, and is not appropriate for specific ethnic groups, and have identified alternate BMI obesity cut-points very similar to those we identified, ranging from 25-25.8(40-45). …”
Objective
Determine prevalence of obesity and how accurately standard anthropometric measures identify obesity among men and women with RA.
Methods
Dual-energy x-ray absorptiometry (DXA) was performed for 141 persons with RA (56 men, 85 women). Two anthropometric proxies of obesity (body mass index [BMI], waist circumference [WC]) were compared to a DXA-based obesity criterion. Receiver operating characteristic (ROC) curves determined optimal cut-points for each anthropometric measure, relative to DXA. Association of body fat and anthropometric obesity measures with disease status and cardiovascular risk was assessed in multiple regression analyses, controlling for age and glucocorticoid use. All analyses were performed separately for men and women.
Results
20%, 32%, and 44% of women, and 41%, 36%, and 80% of men were classified as obese by BMI, WC, and DXA, respectively. Cut-points were identified for anthropometric measures to better approximate DXA estimates of percent body fat (BMI: women, ≥26.1 kg/m2; men ≥24.7 kg/m2. WC: women, ≥83 cm; men, ≥96 cm). For women and men, higher % fat was associated with poorer RA status. Anthropometric measures were more closely linked to RA status for women, but identified cardiovascular risk for both women and men.
Conclusions
A large percentage of this RA sample was overfat; DXA-defined obesity was twice as common in men than in women. Utility of revised BMI and WC cut-points compared to traditional cut-points remains to be examined in prospective studies, but results suggest that lower, sex-specific cut-points may be warrented to better identify individuals at risk for poor RA and/or cardiovascular outcomes.
“…Stavropoulous-Kalinoglou previously suggested that the BMI cut-point for obesity be reduced by 2 kg/m 2 (i.e., to 28) for individuals with RA; our analyses support cut-points that are even lower. Other investigators have also noted in non-RA populations that the current obesity cut-point of BMI≥30 is too high, has low sensitivity to detect adiposity in the general population, and is not appropriate for specific ethnic groups, and have identified alternate BMI obesity cut-points very similar to those we identified, ranging from 25-25.8(40-45). …”
Objective
Determine prevalence of obesity and how accurately standard anthropometric measures identify obesity among men and women with RA.
Methods
Dual-energy x-ray absorptiometry (DXA) was performed for 141 persons with RA (56 men, 85 women). Two anthropometric proxies of obesity (body mass index [BMI], waist circumference [WC]) were compared to a DXA-based obesity criterion. Receiver operating characteristic (ROC) curves determined optimal cut-points for each anthropometric measure, relative to DXA. Association of body fat and anthropometric obesity measures with disease status and cardiovascular risk was assessed in multiple regression analyses, controlling for age and glucocorticoid use. All analyses were performed separately for men and women.
Results
20%, 32%, and 44% of women, and 41%, 36%, and 80% of men were classified as obese by BMI, WC, and DXA, respectively. Cut-points were identified for anthropometric measures to better approximate DXA estimates of percent body fat (BMI: women, ≥26.1 kg/m2; men ≥24.7 kg/m2. WC: women, ≥83 cm; men, ≥96 cm). For women and men, higher % fat was associated with poorer RA status. Anthropometric measures were more closely linked to RA status for women, but identified cardiovascular risk for both women and men.
Conclusions
A large percentage of this RA sample was overfat; DXA-defined obesity was twice as common in men than in women. Utility of revised BMI and WC cut-points compared to traditional cut-points remains to be examined in prospective studies, but results suggest that lower, sex-specific cut-points may be warrented to better identify individuals at risk for poor RA and/or cardiovascular outcomes.
“…Therefore, metabolic syndrome was defined based on the modified criteria of the ATP III, in which BMI (≥ 25 kg/m 2 ) was substituted for the waist circumference measurement. Both waist circumference and BMI are accurate predictors of total body fat, however, in the Asian population (40). Furthermore, the present study suggests that the modified ATP III criteria are useful for detecting the risk for developing CKD.…”
Metabolic syndrome is a risk factor for the development of cardiovascular disease. Few prospective studies, however, have examined metabolic syndrome as a risk factor for chronic kidney disease (CKD) in an Asian population. We studied the occurrence of CKD in 6,371 subjects without CKD or diabetes mellitus at base-
“…2 The cutoff points of 24 for overweight and 28 for obesity are the BMI standards for the Asian population as a whole. Their empirical validity is under discussion and a domain of research; a recent study conducted among 1122 middle-aged (41-63 years old) Chinese women suggests that the recommended BMI cutoffs are appropriate (Chen et al, 2006). 3 The CNNHS classify the survey areas in six different categories according to criteria of economic development levels and geographic typology: large cities (such as Beijing or Shanghai), medium and small cities (such as small provincial capitals), first class rural areas (such as Yangtze delta), second class rural areas (such as Northeast plain or Sichuan basin), third class rural areas and fourth class rural areas (e.g.…”
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