This corrects the article "Effectiveness of polypill for prevention of cardiovascular disease (PolyPars): protocol of a randomized controlled trial" published on 2020: Volume 23, Issue 08, Pages 548–556. Correction to: Arch Iran Med. 2020;23(8):548–556. doi: 10.34172/aim.2020.58. In the original version of this article, the recruitment period was wrongly reported to last from December 2014 to December 2015 in abstract and methods sections of the article. This is corrected into "from December 2015 to December 2016" in the PDF and HTML versions of the article. Also the "PolyIran" is changed to "PolyPars" in the last paragraph of the discussion section in the PDF and HTML versions of the article.
Background: Despite the evidence for validity of body image pictogram (BIP) to discriminate overweight, obese, and normal individuals, there is little evidence on the probable effect of socio-demographic variables on its validity. To investigate the effects of socioeconomic status (SES), age, ethnicity, and educational level on the validity of BIP to discriminate normal weight, overweight, and obese people. Methods: We used the Pars Cohort Study (PCS) data. Stunkard’s BIP score was used as test measure. Participants were classified as normal (body mass index [BMI]<25), overweight (BMI=25 to 29.9), and obese (BMI≥29.9) based on their BMI (kg/m2 ). Area under curve (AUC) and its 95% CI were estimated and compared. Optimal cutoff points and their sensitivity, specificity, and likelihood ratio were reported. Results: A total of 9232 participants with a female/male ratio of 1.03 were included. The prevalence of overweight and obesity was 37.4% and 18.2%, respectively. Regardless of socio-demographic levels, the optimal cut-points to discriminate normal BMI from overweight, and overweight from obese participants were BIP score of four and five, respectively. Estimated AUC correlated with ethnicity (P<0.001) for both genders, and with SES for females (P<0.05). Conclusion: Although BIP may be a valid measure to categorize the general adult population into normal, overweight and obese, its validity depends on SES and ethnicity. BIP may be available as a proxy measure for BMI categories in socio-demographically homogeneous populations but not in heterogeneous populations.
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