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Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in Iranian adults?

Hajian-Tilaki K, Heidari B - Int J Prev Med (2015)

Bottom Line: The results of studies regarding superiority of waist circumference (WC) to body mass index (BMI) are inconsistent.The mean of BMI, WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were significantly higher among diabetic in both sexes (P = 0.001).Among men, WC (area under the ROC curve [AUC] =0.64) and WHtR (AUC = 0.63) have slightly higher accuracy index compared with BMI (AUC = 0.62) or WHR (AUC = 0.60).

View Article: PubMed Central - PubMed

Affiliation: Department of Biostatistics and Epidemiology, Babol University of Medical Sciences, Babol, Iran.

ABSTRACT

Background: Several measures of adiposity have been used for predicting diabetes. The results of studies regarding superiority of waist circumference (WC) to body mass index (BMI) are inconsistent. This study designed to compare the ability of different anthropometric measures in predicting diabetes and to determine their optimal cut-off values.

Methods: A population-based cross-sectional study was conducted with 1,000 representative sample among adults aged 20-80 years in Babol, the Northern Iran. The demographic data were collected in a household survey, and the anthropometric measures of weight, height, waist, and hip circumference were measured with a standard method. Fasting blood sugar (FBS) ≥126 mg/dl was considered as diabetes. receiver operating characteristic analysis was used to estimate the predictive ability of different anthropometric indexes and their optimal cut-off values for high FBS.

Results: The overall prevalence rate of diabetes was 14.0% (14.4% in men vs. 13.5% in women, P = 0.65). The prevalence rate was significantly higher in older age (>60 years), low educated and obese (P = 0.001). The mean of BMI, WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were significantly higher among diabetic in both sexes (P = 0.001). Among men, WC (area under the ROC curve [AUC] =0.64) and WHtR (AUC = 0.63) have slightly higher accuracy index compared with BMI (AUC = 0.62) or WHR (AUC = 0.60). In contrast, among women, WHtR (AUC = 0.69) and WC (AUC = 0.68) yielded slightly better predictive than BMI (AUC = 0.67). The optimal cut-off values obtained for BMI and WHtR were similar between two sexes (BMI = 24.95 kg/m(2) for men and BMI = 25.2 kg/m(2) for women, WHtR = 0.51 for both sexes) whereas the optimal cut-off value for WC was higher in men than women (98.5 cm men vs. 89.5 cm women).

Conclusions: Overall WC and WHtR exhibited a slightly better discriminate performance than BMI for diabetes in both sexes, particularly in women.

No MeSH data available.


Related in: MedlinePlus

Receiver operating characteristic curves of different anthropometric measures for detection of abnormal fasting blood sugar according to gender (a) male, (b) female
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Figure 1: Receiver operating characteristic curves of different anthropometric measures for detection of abnormal fasting blood sugar according to gender (a) male, (b) female

Mentions: The mean age (±standard deviation) of participants was 43.5 ± 14.4 and 41.8 ± 12.6 years in men and women, respectively, (P = 0.06). A total of 450 participants (45%) were men, and 550 (55%) were women. Prevalence rate of diabetes in men and women was 14% and 13.5% (P = 0.65), respectively [Table 1]. Diabetes in subjects > 60 years of age was 25.5% versus 3.7% in younger age group of 20–29 years (P = 0.001). Obesity (BMI > 30 kg/m2 vs. <25 kg/m2) was significantly associated with diabetes (P = 0.001). Prevalence of diabetes was inversely correlated with educational levels (P = 0.001) and the highest prevalence rate was observed in low educated groups (28.6% vs. 6.8% in illiterates and university educated, respectively) [Table 2]. The values of all anthropometric measures in the diabetic group were significantly greater as compared with nondiabetics in both sexes [Table 3]. The ability of all measures for prediction of diabetes in women was greater than in men. WC in men and WHtR in women exhibited the greatest predictive ability for diabetes with respective accuracy of 69% and 64% [Figure 1].


Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in Iranian adults?

Hajian-Tilaki K, Heidari B - Int J Prev Med (2015)

Receiver operating characteristic curves of different anthropometric measures for detection of abnormal fasting blood sugar according to gender (a) male, (b) female
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4362276&req=5

Figure 1: Receiver operating characteristic curves of different anthropometric measures for detection of abnormal fasting blood sugar according to gender (a) male, (b) female
Mentions: The mean age (±standard deviation) of participants was 43.5 ± 14.4 and 41.8 ± 12.6 years in men and women, respectively, (P = 0.06). A total of 450 participants (45%) were men, and 550 (55%) were women. Prevalence rate of diabetes in men and women was 14% and 13.5% (P = 0.65), respectively [Table 1]. Diabetes in subjects > 60 years of age was 25.5% versus 3.7% in younger age group of 20–29 years (P = 0.001). Obesity (BMI > 30 kg/m2 vs. <25 kg/m2) was significantly associated with diabetes (P = 0.001). Prevalence of diabetes was inversely correlated with educational levels (P = 0.001) and the highest prevalence rate was observed in low educated groups (28.6% vs. 6.8% in illiterates and university educated, respectively) [Table 2]. The values of all anthropometric measures in the diabetic group were significantly greater as compared with nondiabetics in both sexes [Table 3]. The ability of all measures for prediction of diabetes in women was greater than in men. WC in men and WHtR in women exhibited the greatest predictive ability for diabetes with respective accuracy of 69% and 64% [Figure 1].

Bottom Line: The results of studies regarding superiority of waist circumference (WC) to body mass index (BMI) are inconsistent.The mean of BMI, WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were significantly higher among diabetic in both sexes (P = 0.001).Among men, WC (area under the ROC curve [AUC] =0.64) and WHtR (AUC = 0.63) have slightly higher accuracy index compared with BMI (AUC = 0.62) or WHR (AUC = 0.60).

View Article: PubMed Central - PubMed

Affiliation: Department of Biostatistics and Epidemiology, Babol University of Medical Sciences, Babol, Iran.

ABSTRACT

Background: Several measures of adiposity have been used for predicting diabetes. The results of studies regarding superiority of waist circumference (WC) to body mass index (BMI) are inconsistent. This study designed to compare the ability of different anthropometric measures in predicting diabetes and to determine their optimal cut-off values.

Methods: A population-based cross-sectional study was conducted with 1,000 representative sample among adults aged 20-80 years in Babol, the Northern Iran. The demographic data were collected in a household survey, and the anthropometric measures of weight, height, waist, and hip circumference were measured with a standard method. Fasting blood sugar (FBS) ≥126 mg/dl was considered as diabetes. receiver operating characteristic analysis was used to estimate the predictive ability of different anthropometric indexes and their optimal cut-off values for high FBS.

Results: The overall prevalence rate of diabetes was 14.0% (14.4% in men vs. 13.5% in women, P = 0.65). The prevalence rate was significantly higher in older age (>60 years), low educated and obese (P = 0.001). The mean of BMI, WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were significantly higher among diabetic in both sexes (P = 0.001). Among men, WC (area under the ROC curve [AUC] =0.64) and WHtR (AUC = 0.63) have slightly higher accuracy index compared with BMI (AUC = 0.62) or WHR (AUC = 0.60). In contrast, among women, WHtR (AUC = 0.69) and WC (AUC = 0.68) yielded slightly better predictive than BMI (AUC = 0.67). The optimal cut-off values obtained for BMI and WHtR were similar between two sexes (BMI = 24.95 kg/m(2) for men and BMI = 25.2 kg/m(2) for women, WHtR = 0.51 for both sexes) whereas the optimal cut-off value for WC was higher in men than women (98.5 cm men vs. 89.5 cm women).

Conclusions: Overall WC and WHtR exhibited a slightly better discriminate performance than BMI for diabetes in both sexes, particularly in women.

No MeSH data available.


Related in: MedlinePlus