Relation between cognitive restraint and weight: Does a content validity problem lead to a wrong axis of care?

Psychometric evaluation of three-factor eating questionnaire -R18 in aging Finnish men with increased risk for type 2 diabetes

BACKGROUND

Deeper comprehension of eating-related behaviour (how and why people eat) can reveal new aspects to support health and prevent type 2 diabetes (T2D). However, such research is largely missing in aging men.

AIM

The aim was to investigate suitability of the Three-Factor Eating Questionnaire-R18 (TFEQ-R18) in Finnish aging men which is widely used to examine factors: cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE).

METHODS

Study population consisted of 420 men aged 50-75, who completed the TFEQ-R18 at the baseline of the T2D-GENE lifestyle intervention study. Inclusion criteria were impaired fasting glucose (IFG) and body mass index ≥25 kg/m2. Confirmatory factor analysis was used to study psychometrics (reliability, validity, and model fit) and factor structure of TFEQ-R18.

RESULTS

The items loaded to the three factors (CR, UE, EE) as in previous studies, except two items at CR factor and one at UE factor, which were therefore omitted. UE was also discovered split into two sub factors (named as 'craving' and 'loss-of-control'), UE being a higher-order (h) factor. The resultant revised version was named as Three-Factor Eating Questionnaire Revised to 15-items with higher-order factor (TFEQ-R15h).

CONCLUSION

The original 18-item version of the TFEQ was not optimal in the population consisting of Finnish aging men with elevated T2D risk. A modified 15-item version of the TFEQ could be used to describe EB in this population instead.

Furthering development of the Eating Disorder Examination-Pregnancy Version (EDE-PV): Exploratory factor analysis and psychometric performance among a community sample of pregnant individuals with body mass index ≥ 25

Psychometrically sound measures of disordered eating during pregnancy are needed, particularly for pregnant individuals with body mass index (BMI) ≥ 25, who are at high risk for disordered eating attitudes/behaviors. We previously adapted the Eating Disorder Examination (EDE) for use among pregnant individuals with BMI ≥ 25. This study examined the factor structure of the EDE-Pregnancy Version (EDE-PV) in a community sample of pregnant individuals with BMI ≥ 25. The EDE-PV was administered to 257 pregnant individuals with pre-pregnancy BMI ≥ 25 between 12 and 20 weeks gestation. The EDE-PV factor structure was determined using an exploratory factor analysis with oblique geomin rotation, internal consistency coefficients were calculated, and convergent and discriminant validity of the EDE-PV factors were assessed. An 11-item, two-factor solution produced an acceptable model fit. The subscales did not replicate those of the EDE and were interpreted as Pregnancy Eating and Weight Change Concerns and Pregnancy Shape and Weight Concerns (αs=.67 and .85; ωs=.70 and .85, respectively). These subscales showed small-to-moderate, positive correlations with weight and psychosocial distress measures and differentiated between participants with and without lifetime histories of any eating disorder diagnosis, demonstrating adequate convergent and discriminant validity. The results indicate that the EDE-PV can more reliably identify factors associated with disordered eating attitudes/behaviors among pregnant individuals with BMI ≥ 25 compared to the EDE and support our call for the development and use of new and/or adapted measures to appropriately assess disordered eating during pregnancy.

Eating Behaviors, Depressive Symptoms and Lifestyle in University Students in Poland

Young adulthood is the period from the late teens through the twenties and is associated with life transitions that could contribute to the development of obesity. Targeting this group will be critical to reversing the obesity epidemic. The aim of the study was to investigate the eating behaviors and lifestyle of healthcare students in Poland. We enrolled 227 students in the study. Convenience sampling was employed. Diet (Food Frequency Questionnaire), physical activity (International Physical Activity Questionnaire), depressive symptoms (Beck Depression Inventory), impulsivity (Barratt Impulsivity Scale), and eating behaviors (Three-Factor Eating Questionnaire) were assessed. One in three students exhibited depressive symptoms, one in four showed low levels of physical activity. More than 40% of the students did not consume vegetables at least once a day, and more than half did not consume fruit. Only approximately 50% of the students ate fish several times a month. There was an association between high scores of specific eating behaviors and body weight, adherence to the Mediterranean diet, and consumption of specific product groups (sweets, alcohol). The results of our study are expected to contribute to a better understanding of dietary habits and overweight/obesity in university students, and support the development of programs to promote healthy lifestyles in that population.

Identification of several eating habits that mediate the association between eating behaviors and the risk of obesity

Objective

Eating behaviors play important roles in the development of obesity. A better knowledge of the psychological aspects of eating behaviors in individuals with and without obesity and their consequences on daily eating and lifestyle habits would be informative. The Three‐Factor Eating Questionnaire (TFEQ)‐R21 assesses the psychometrics of eating behavior. The objectives of the study were to establish which eating habits were or were not associated with TFEQ eating behaviors, and to quantify the extent to which those eating habits mediated the association between TFEQ eating behaviors and obesity risk.

Methods

Data were obtained from the Gene and Environment Case‐Control Obesity Study from northern France. It included 2237 individuals with obesity and 403 individuals without obesity. Eating behaviors were assessed according to the TFEQ‐R21. Two activity levels (physical activity and television watching) and six eating habits (e.g., plate size, having one serving or at least two servings of the main meal, …) were evaluated. Regression and mediation analyses were performed.

Results

Higher cognitive restraint, higher uncontrolled eating (UE) and higher emotional eating (EE) were associated with a higher risk of obesity, independently of each other and of age, sex, socio‐economic status and physical activity. Cognitive restraint was negatively associated with having at least two servings, while UE and EE were associated with several obesogenic habits such as eating in front of the television or eating at night. Each of these obesogenic habits mediated between 3% and 20% of the association between UE or EE and obesity.

Conclusions

Psychological eating behaviors were associated with several lifestyle and eating habits in both individuals with and without obesity. Moreover, some eating habits partially mediated (between 3% and 20%) the association between TFEQ eating behaviors and obesity risk. For clinicians, this study shows that simple, easy‐to‐ask questions on specific daily eating habits can provide essential information to better understand and manage patients with obesity.

Quality of life and eating habits of patients with obesity during the COVID-19 pandemic

Objective:

to verify the quality of life and eating habits of patients with obesity during the COVID-19 pandemic.

Method:

cross-sectional study with 68 outpatients, candidates for bariatric surgery, at university hospital in the Southern Brazil. Data collection was carried out by telephone, with questions about the profile of the participants and social distancing; questionnaires on quality of life and eating habits were also used. The data analysis, the logistic regression model, Spearman correlation, Mann-Whitney U and Student t-tests were used for independent samples.

Results:

the general quality of life was 57.03 points and the eating habit with the highest score was cognitive restraint (61.11 points). Most patients (72.1%) were socially distancing themselves and 27.9% had not changed their routine. The chance of isolation was 3.16 times greater for patients who were married. There is a positive correlation between the domains of the Quality of Life questionnaire and cognitive restraint from the questionnaire about eating habits.

Conclusion:

we found that the participants tended to have a better quality of life as cognitive restraint increased.