Do sociodemographic factors and anthropometric measurements affect eating behavior patterns?

Purpose Obesity is a chronic disease and it is very important to determine the underlying factors at the early stage. Disturbance in eating behaviors may predict the obesity risk. Design/methodology/approach In the present study, it was aimed to investigate eating behavior of Turkish adults by using The Three-Factor Eating Questionnaire-R18 (TFEQ-R18) and to analyze the association between anthropometric measurements and socio-demographic factors. Findings Individuals composed of 698 males, aged 28.6 +/- 10.3 years and 1,736 females, aged 25.1 +/- 7.8 years. Demographic characteristics participants were obtained via a questionnaire. TFEQ-R18for assessing eating behavior was used. Results claim that the usage of TFEQ-R18 was appropriate for non-obese individuals (Cronbach's alpha value 0.83 for underweight group (n = 180, 7.4%), 0.76 for normal group (n = 1604, 65.9%), 0.69 for overweight group (n = 492, 20.2%), 0.69 obese group (n = 158, 6.5%). Gender seems to effect emotional eating scores (p = 0.026) and employment status seem to affect all TFEQ-R18 sub-group dimensions (cognitive eating scores, p = 0.022, uncontrolled eating scores, p < 0.001, emotional eating scores, p < 0.001). Divorced individuals tend to have higher cognitive restraint scores (16.2 +/- 3.7). Although, single people have higher emotional eating scores (7.5 +/- 2.6) (p = 0.006). There is a positive correlation among waist-height ratio, waist and neck circumference and cognitive restraint and uncontrolled eating scores (p < 0.001). However, body weight and height correlate negatively with cognitive restraint scores (p < 0.001). Originality/value According to the authors' knowledge, this study gives brief results for the usage of TFEQ-R18 and the ability to predict eating behaviors in the general population.

Automated summary

This study aimed to investigate eating behavior of Turkish adults using the TFEQ-R18 and found that gender, employment status, and marital status may influence eating behaviors. Additionally, there were positive correlations between waist-height ratio, waist circumference, neck circumference, and cognitive restraint and uncontrolled eating scores.