Overall performance
The scenario category, contained 40 some one (32 ladies, 8 people) with a great Bmi more 35.0 kg/yards dos had an indicate age ± 8.47 age. Brand new control gang of consecutive around three Bmi kinds (regular, preobese, and you can over weight) provided those with a suggest ages of ± six.34, ± 7.41, and you can ± six.39 years, respectively. In the situation classification, 65.0% (letter seekingarrangement = 26) had work at the time of the research and majority was married (n = twenty-five, 62.5%). The greatest rate away from work (77.5%, letter = 31) is actually among typical Bmi class, the difference in the newest teams did not disagree somewhat. The scenario and you may control communities did not differ somewhat when it comes of your examined sociodemographic variables (Table 1).
The distribution of BMIs of participants in four BMI categories were normal. The mean BMIs of each group were as follows: ± 1.92 kg/m 2 (–), ± 1.27 kg/m 2 (–), ± 2.59 kg/m 2 (30.0–), ± 4.92 kg/m 2 (–). Tobacco and alcohol use and family history were similar among the groups (Table 2), however, those with a BMI >30.0 kg/m 2 (n = 75) had a significantly higher rate (63.5%) of obesity in family history, when compared to the rest (? 2 = , p < 0.01). The morbidly obese group had a significantly higher rate of accompanying chronic medical disorders, namely diabetes, hypertension, and hyperlipidaemia (25, 20, and 10%, respectively).
Dining Habits Symptomatology
The different BMI groups differed significantly in terms of FA diagnosis by both instruments (Table 3). Food addiction was found to be more prevalent in the two groups with BMI >30 kg/m 2 (morbid obese, n = 40 and obese, n = 35) than in the normal (n = 40) and overweight (n = 40) individuals (p < 0.01), as measured by the YFAS (23.8 vs. 0.0%) and DSM-5 clinical interview (57.5 vs. 12.5%). In terms of severe FA as assessed by the DSM-5 (having six or more symptoms), the obesity and morbid obesity group demonstrates 8.88 times higher prevalence than the normal and overweight groups (33.3 vs. 3.7%).
Table 3. Eating dependency and you can dinner issues diagnoses and symptomatology and you can impulsivity inside the additional Bmi groups, while the examined because of the YFAS and you can DSM-5 health-related interviews, EDEQ, and you may BIS-eleven.
Food addiction diagnosis by both instruments was associated with a higher rate of chronic medical disorders (? 2 = 7.0, p < 0.01) and tobacco and alcohol use (? 2 = 4.20, p = 0.04; ? 2 = 5.41, p = 0.02). Dieting and lifetime number of diet attempts were significantly higher in those with FA ( ± 8.23; median 10) than in those without FA (6.89 ± 7.09; median 4) (z = ?2.03, p = 0.04).
The most frequent periods because the examined because of the DSM-5 observed logical interview was (i) use of dinner inside the larger wide variety or over a longer time than implied (71.3%), (ii) chronic interest otherwise ineffective services to cut off otherwise control (70.5%), and you may (iii) urge (forty-five.1%); all the exhibiting death of power over restaurants. At exactly the same time, persistent interest otherwise unsuccessful jobs to slice down otherwise handle (93.9%), tolerance (49.0%), and you will practices even after persistent actual or psychological difficulties caused or made worse by it (46.9%) have been the most seem to found criteria during the YFAS tests.
Food addiction severity, as defined by symptom count in both assessments, showed a significant correlation between YFAS (out of 7 criteria) and DSM-5 (out of 11 criteria). Greater FA severity correlated with increased BMI. Linear regression analysis showed that the severity of FA, measured as the DSM-5 symptom count predicted an increase in BMI [F(1.153) = , p < 0.01, R 2 = 0.243]. The BIS-11 total and sub-scale scores did not significantly differ among BMI categories (z = ?1.19, p = 0.24; z = ?1.27, p = 0.21; z = ?0.76, p = 0.45; z = ?0.79, p = 0.43, respectively). Motor and total impulsivity scores showed a positive albeit weak correlation with the severity of FA (assessed by symptom count) but no significant correlation with BMI (Table 4).