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The association of chronic kidney disease and waist circumference and waist-to-height ratio in Chinese urban adults

View Article: PubMed Central - PubMed

ABSTRACT

This study aims to investigate the association of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with chronic kidney disease (CKD).

A cross-sectional survey was conducted in a nationally representative sample of 123,629 Chinese urban adults who participated in health examinations between 2008 and 2009. BMI, WC, and WHtR were measured, as well as serum and urine biochemical tests. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 or urine protein positivity (proteinuria)≥1+ with dipstick testing.

WHtR had the largest areas under ROC curve for CKD in men and women, followed by WC and BMI. Higher levels of BMI, WC, and WHtR were each associated with an increased odds for CKD among men. For per unit size change, the multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of CKD were 1.19 (95% CI, 1.13–1.25) for BMI, 1.12 (95% CI, 1.08–1.16) for WC, and 1.13 (95% CI, 1.10–1.17) for WHtR. The corresponding values were significant in multivariable models among women aged 40 years and above. Using Chinese-recommended cutoffs for BMI (≥24 kg/m2), WC (≥85 cm for men, and ≥80 cm for women), and WHtR (≥0.05), WHtR was superior in the association with CKD than BMI for men, whereas WC was superior for women.

Increased obesity indices were positively associated with the odds of CKD. Central obesity, defined by WC and WHtR, may be more closely correlated with CKD for Chinese urban adults.

No MeSH data available.


ROC ∗curve and cutoffs of anthropometric indices in predicting CKD for men (A) and women (B).
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Figure 2: ROC ∗curve and cutoffs of anthropometric indices in predicting CKD for men (A) and women (B).

Mentions: The area under the ROC for BMI, WC, and WHtR in relation to CKD is presented in Table 3. WHtR showed the largest AUCs for CKD in both sexes, followed by WC and BMI. For men, the optimal cutoff values were 25.4 kg/m2 for BMI, 87.5 cm for WC, and 0.52 for WHtR. At these cutoff points, the sensitivity and specificity were 50.3% and 59.7% for BMI, 50.3% and 59.7% for WC, and 50.1% and 66.0% for WHtR, respectively. For women, the optimal cutoffs were 23.1 kg/m2 for BMI, 75.5 cm for WC, and 0.49 for WHtR. The sensitivity and specificity were 51.3% and 61.3% for BMI, 52.8% and 60.5% for WC, and 51.3% and 65.5% for WHtR, respectively (Fig. 2). After stratified by age groups, AUC for the relationship between WC and CKD was significantly larger than those for BMI and WHtR in younger and middle age groups, whereas AUCs for WC and WHtR were significantly larger than that for BMI in older age groups.


The association of chronic kidney disease and waist circumference and waist-to-height ratio in Chinese urban adults
ROC ∗curve and cutoffs of anthropometric indices in predicting CKD for men (A) and women (B).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4998302&req=5

Figure 2: ROC ∗curve and cutoffs of anthropometric indices in predicting CKD for men (A) and women (B).
Mentions: The area under the ROC for BMI, WC, and WHtR in relation to CKD is presented in Table 3. WHtR showed the largest AUCs for CKD in both sexes, followed by WC and BMI. For men, the optimal cutoff values were 25.4 kg/m2 for BMI, 87.5 cm for WC, and 0.52 for WHtR. At these cutoff points, the sensitivity and specificity were 50.3% and 59.7% for BMI, 50.3% and 59.7% for WC, and 50.1% and 66.0% for WHtR, respectively. For women, the optimal cutoffs were 23.1 kg/m2 for BMI, 75.5 cm for WC, and 0.49 for WHtR. The sensitivity and specificity were 51.3% and 61.3% for BMI, 52.8% and 60.5% for WC, and 51.3% and 65.5% for WHtR, respectively (Fig. 2). After stratified by age groups, AUC for the relationship between WC and CKD was significantly larger than those for BMI and WHtR in younger and middle age groups, whereas AUCs for WC and WHtR were significantly larger than that for BMI in older age groups.

View Article: PubMed Central - PubMed

ABSTRACT

This study aims to investigate the association of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with chronic kidney disease (CKD).

A cross-sectional survey was conducted in a nationally representative sample of 123,629 Chinese urban adults who participated in health examinations between 2008 and 2009. BMI, WC, and WHtR were measured, as well as serum and urine biochemical tests. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 or urine protein positivity (proteinuria)≥1+ with dipstick testing.

WHtR had the largest areas under ROC curve for CKD in men and women, followed by WC and BMI. Higher levels of BMI, WC, and WHtR were each associated with an increased odds for CKD among men. For per unit size change, the multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of CKD were 1.19 (95% CI, 1.13–1.25) for BMI, 1.12 (95% CI, 1.08–1.16) for WC, and 1.13 (95% CI, 1.10–1.17) for WHtR. The corresponding values were significant in multivariable models among women aged 40 years and above. Using Chinese-recommended cutoffs for BMI (≥24 kg/m2), WC (≥85 cm for men, and ≥80 cm for women), and WHtR (≥0.05), WHtR was superior in the association with CKD than BMI for men, whereas WC was superior for women.

Increased obesity indices were positively associated with the odds of CKD. Central obesity, defined by WC and WHtR, may be more closely correlated with CKD for Chinese urban adults.

No MeSH data available.