Novel anthropometric predictors of subjective weight among women

The main aim of the current study was to examine novel anthropometric predictors of subjective weight among women. In this cross-sectional study, 229 women were selected through simple random sampling method. The participants completed the Multidimensional Body Self-Relation Questionnaire. Pearson correlation coefficient and linear regression were used to analyze the data. The mean subjective weight score was 4.05 ± 1.01. There was a significant relationship between anthropometric indices and subjective weight (Pearson r correlation range: 0.62-0.81, p < .01). Beta coefficients for predictor variables indicated that weight (ß = -2.774, t (229) = -2.868, p = .005), hip circumference (ß = 3.454, t (229) = 5.999, p < .001), waist to hip ratio (ß = 4.218, t (229) = 4.953, p < .001), waist to height ratio (ß = -3.284, t (229) = -2.067, p = .04), and conicity index (ß = -0.708, t (229) = -2.518, p = .013) significantly predicted the subjective weight. The waist to hip ratio was the most important predictor of the subjective weight. This study suggests using the waist to hip ratio as an anthropometric index in subjective weight studies in women. Considering the negative impact of subjective weight on women's health, these results indicate the need for interventions designed to control body weight and unsuitable anthropometric indices in women.