Discriminatory Capacity of Anthropometric Indices for Cardiovascular Disease in Adults: A Systematic Review and Meta-Analysis

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  Darbandi, Mitra ; Pasdar, Yahya ; Moradi, Shima ; Mohamed, Hamid Jan Jan ; Hamzeh, Behrooz ; Salimi, Yahya
• Description:
  Introduction
  
  Obesity is one of the main risk factors for cardiovascular disease (CVD) and cardiometabolic disease (CMD). Many studies have developed cutoff points of anthropometric indices for predicting these diseases. The aim of this systematic review was to differentiate the screening potential of body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) for adult CVD risk.
  
  Methods
  
  We used relevant key words to search electronic databases to identify studies published up to 2019 that used receiver operating characteristic (ROC) curves for assessing the cut-off points of anthropometric indices. We used a random-effects model to pool study results and assessed between-study heterogeneity by using the I2 statistic and Cochran’s Q test.
  
  Results
  
  This meta-analysis included 38 cross-sectional and 2 cohort studies with 105 to 137,256 participants aged 18 or older. The pooled area under the ROC curve (AUC) value for BMI was 0.66 (95% CI, 0.63–0.69) in both men and women. The pooled AUC values for WC were 0.69 (95% CI, 0.67–0.70) in men and 0.69 (95% CI, 0.64–0.74) in women, and the pooled AUC values for WHR were 0.69 (95% CI, 0.66–0.73) in men and 0.71 (95% CI, 0.68–0.73) in women.
  
  Conclusion
  
  Our findings indicated a slight difference between AUC values of these anthropometric indices. However, indices of abdominal obesity, especially WHR, can better predict CVD occurrence.
  
  
• Subjects:
  Systematic Review
• Source:
  Prev Chronic Dis. 2020; 17
• ISSN:
  1545-1151
• Pubmed ID:
  33092686
• Pubmed Central ID:
  PMC7587303
• Document Type:
  Journal Article
• Volume:
  17
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:d0295dc900e4c1bb4f99997c0753f25a00582259a377e726817e3eb4ddf78dabb01f07eb3f9e79ef18566a0dc91b4a035c6fdddada5a6a939475495e129d29fa
• Download URL:
  https://stacks.cdc.gov/view/cdc/96047/cdc_96047_DS1.pdf
• File Type:
  [PDF - 860.08 KB ]