Eating behavior tendencies among Finnish adults in relation to previous weight loss attempts

Women with polycystic ovary syndrome are at risk of emotional and uncontrolled eating at midlife: a population-based cohort study

OBJECTIVE

To investigate eating behavior domains-emotional, uncontrolled, and cognitive restraint eating-in women with polycystic ovary syndrome (PCOS) with different PCOS phenotypes and women without PCOS at midlife.

DESIGN

A prospective cohort study. Eating behavior domains were assessed at age of 46 years. Predictors of eating behaviors were evaluated using variables collected at ages of 31 and 46 years.

SUBJECTS

Women identified as having PCOS (n = 251) at age of 31 years using the updated Rotterdam criteria were compared with women without any PCOS criteria (n = 935). The PCOS population comprised women with the classic A+B-phenotype (hyperandrogenism and oligomenorrhea, with or without elevated antimüllerian hormone, n = 60), C-phenotype (hyperandrogenism and elevated antimüllerian hormone, n = 84), and D-phenotype (oligomenorrhea and elevated antimüllerian hormone, n = 86).

EXPOSURE

Not applicable.

MAIN OUTCOME MEASURES

Revised Three-Factor Eating Questionnaire-18 scores for eating behavior domains.

RESULTS

Compared with women without PCOS, women with PCOS exhibited higher scores for emotional (33.1 ± 27.8 vs. 39.0 ± 29.9) and uncontrolled eating (26.7 ± 18.2 vs. 30.7 ± 19.4) but no difference in cognitive restraint (46.6 ± 18.6 vs. 45.9 ± 18.5) at age of 46 years. Emotional and uncontrolled eating scores were higher in the A+B-phenotype compared with women without PCOS, whereas uncontrolled eating scores in the C-phenotype were higher than in women without PCOS and the D-phenotype. At age of 46 years, the perception of overweight was an independent predictor of emotional eating among women with PCOS (B = 11.96 [95% confidence interval {CI}: 2.81-20.29]), whereas a history of weight loss attempts was a predictor of uncontrolled eating (B = 6.06 [95% CI: 1.05-10.83]). Among women with PCOS, higher psychological distress at age of 31 years was a significant risk factor for scoring in the highest quartile of emotional (adjusted odds ratio [aOR]: 2.85 [95% CI: 1.19-6.85]) and uncontrolled eating (aOR: 4.37 [95% CI: 1.77-10.80]) at age of 46 years.

CONCLUSION

Women with PCOS at midlife showed a high tendency for unfavorable eating behaviors. Our findings emphasize the need for sensitivity in weight management counseling and addressing psychological distress to prevent unfavorable eating in this population.

Understanding the selection of support partners in a behavioral weight loss program

OBJECTIVE

Engaging a support partner during behavioral weight loss (BWL) programs can improve outcomes. However, little information is available about those selected as support partners. The study aimed to (1) characterize support partners and qualities of the relationship, (2) assess differences in relationship dynamics across relationship types, and (3) assess differences in supportive relationships by participant gender.

METHODS AND MEASURES

Upon entering a 24-month BWL program, participants (N = 323) nominated a support person from their existing social networks. Participants completed self-report measures at baseline, including the Working Alliance Inventory and study-specific measures assessing characteristics of the support person and comfort in communicating with them.

RESULTS

Spouse/partners were chosen by 43.3% of all participants. Among married participants, 80.9% of men and 53.8% of women chose their spouse/partner. Working alliance was lower when the support partner was a spouse/partner versus a friend (p < 0.05, r = -0.19). Comfort talking about exercise with a support partner was higher than talking about eating or weight (p < 0.001, η2p= 0.05).

CONCLUSION

A variety of friends and family can be selected as support partners during BWL. Programs should attend to the unique needs of men versus women when identifying sources of support.

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.

Comparative efficacy of remotely delivered mindfulness-based eating awareness training versus behavioral-weight loss counseling during COVID-19

Introduction

Dysregulated eating (emotional eating, cue-elicited eating, and dietary restraint and restriction) has been linked to being overweight or obese. The present investigation used a random controlled trial (RCT) to test the differential efficacy of remotely delivered Mindfulness-Based Eating Awareness Training (MB-EAT) and Behavioral Weight Loss (BWL) counseling.

Methods

The sample was recruited through advertisements that offered help to people "with problems controlling their eating" or "interested in improving their relationship with food" (n = 135).

Results

Retention was low in both groups (42%), but not dissimilar to retention rates reported in related clinical trials delivered "in person." Among the participants who completed treatment, we found no between-group differences in any of the treatment outcomes, but participants in both groups experienced significant increases in eating-related mindfulness [Mindful Eating Questionnaire (MEQ) and awareness [Multidimensional Assessment of Interoceptive Awareness (MAIA), and significant decreases in unhealthy eating patterns [Dutch Eating Behavior Questionnaire (DEBQ); Binge Eating Scale (BES), and weight over the course of treatment. Participants in both groups also experienced increases in self-reported depression and anxiety symptoms [Hospital Anxiety and Depression Scale (HADS)], although these increases likely reflected normative changes observed in the population at large during COVID-19.

Discussion

Overall, the results suggest that dysregulated eating and weight loss intervention delivered remotely via teleconference can be effective.

Emotional Eating among Ghanaian University Students: Associations with Physical and Mental Health Measures

Eating behaviors are a set of cognitive processes that influence dietary decision making and, thus, overall health. Some of the most studied eating behaviors are those characterized by the Three Factor Eating Questionnaire-18 (TFEQ). The TFEQ examines three eating behaviors: emotional eating (EE), uncontrolled eating (UE), and restrained eating (RE). While frequently used, there is little information characterizing these eating behaviors in the Ghanaian population. This cross-sectional study describes EE, UE, and RE behaviors in a university student population (n = 129) in Ghana. Of the three behaviors, EE was the only one associated with any of the health outcomes in this study: BMI for males (r = 0.388, p = 0.002) and anxiety (r = 0.471, p < 0.001, higher score is less desirable), and sleep quality (r = 0.464, p < 0.001, higher score is less desirable) for females. Overweight and obese females reported significantly higher EE scores compared to healthy weight females (35.7 ± 23.7 vs. 11.9 ± 15.6, p = 0.002). No such observation was observed among overweight and obese males (p > 0.05). EE, UE, and RE scores did not differ between males and females. While this study provides important information about the eating behaviors of Ghanaian university students and allows for comparison to students from other cultures, future work must develop culturally relevant tools for the Ghanaian population.

The relationship between food and cooking skills, and eating behaviors in people with overweight or obesity

BACKGROUND

In the present study, the authors aimed to determine food skills and cooking skills, and eating behaviors, and to evaluate the relationship between food skills and cooking skills, and eating behaviors in people with overweight or obesity.

METHODS

This cross-sectional study was conducted with 185 people with overweight or obesity. The researchers collected the study data using the face-to-face interview method through a questionnaire including the Descriptive Information Form, Cooking Skills and Food Skills Scale, and Three-Factor Eating Questionnaire-R21. Numbers, percentages, arithmetic mean, standard deviation, Student's t-test, Pearson Chi-Square test, and multiple linear regression analysis were used in the analysis of the data.

RESULTS

The mean scores of the individuals obtained from the overall Cooking Skills and Food Skills Scale, and cooking skills, food skills, uncontrolled eating, cognitive restraint, and emotional eating sub-dimensions were 148.17 ± 52.20, 70.45 ± 27.48, 77.84 ± 28.90, 43.90 ± 22.74, 36.95 ± 23.93, and 38.94 ± 29.17 respectively. Multiple linear regression was fitted to determine the association between food skills and cooking skills and eating behaviors while adjusting for sociodemographic and health-related characteristics. Food skills and cooking skills were positively associated with uncontrolled eating (β = 0.213, p = 0.030), cognitive restraint (β = 0.245, p = 0.009), and emotional eating behaviors (β = 0.338, p = 0.001).

CONCLUSION

In people with overweight or obesity, cognitive restraint and emotional eating behaviors improve as their food preparation and cooking skills improve. Therefore, education and public health practices on eating awareness, food skills, and cooking skills can play an important role in bringing healthy behavior change into practice in society.

Associations between weight loss history and factors related to type 2 diabetes risk in the Stop Diabetes study

Background

Frequent weight loss attempts are related to maladaptive eating behaviours and higher body mass index (BMI). We studied associations of several type 2 diabetes (T2D) risk factors with weight loss history, defined as the frequency of prior weight loss attempts, among Finnish adults at increased risk for T2D.

Methods

This study (n = 2684, 80% women) is a secondary analysis of the 1-year StopDia lifestyle intervention with digital intervention group, digital intervention + face-to-face counselling group, or control group. The frequency of prior weight loss attempts was categorized into five groups: no attempts/no attempts to lose weight, but trying to keep weight stable/1–2 attempts/3 or more attempts/ continuous attempts. Data on emotional eating and social/emotional nutrition self-efficacy were collected with a digital questionnaire. We assessed baseline differences between categories of weight loss history as well as the intervention effects.

Results

Altogether 84% of participants had attempted weight loss. Those with one or more weight loss attempts had higher BMI, larger waist circumference, and more emotional eating compared to ‘no attempts’ and ‘no attempts to lose weight, but trying to keep weight stable’ categories. The ‘no attempts’ category had the highest baseline fasting insulin, whereas it showed the largest decrease in this measure with the intervention. This change in fasting insulin in the ‘no attempts’ category was significantly different from all the other categories. Emotional nutrition self-efficacy slightly improved in the ‘no attempts’ category, which was significantly different from its concomitant decrease in the categories ‘1-2 attempts’ and ‘3 or more attempts’. The intervention group assignment did not affect the results.

Conclusions

Multiple attempts to lose weight may unfavourably affect T2D risk factors as well as lifestyle intervention outcomes. More research is needed on how weight loss frequency could affect T2D risk factors and how to design lifestyle interventions for individuals with frequent previous weight loss attempts.

Turkish version of the 'Three-Factor Eating Questionnaire-51' for obese individuals: a validity and reliability study

Objectives:

Obesity is a serious public health issue. Investigating the eating behaviour of individuals plays an important role in preventing obesity. Therefore, the purpose of the current study is to adapt the long and first version of the ‘Three-Factor Eating Questionnaire’ (TFEQ), a scale that examines the eating behaviour of individuals, to Turkish culture and to carry out its validity and reliability study.

Design:

The data were collected using data collection forms, and anthropometric measurements of the individuals were made by the researchers. The data collection form included several parameters: socio-demographic characteristics, the TFEQ scale, whose validity and reliability analysis is conducted here, and the Dutch Eating Behaviour Questionnaire (DEBQ) which was used as a parallel form.

Setting:

The Obesity Clinic at Ege University in Izmir.

Participants:

The study group consisted of obese adult individuals (n 257).

Results:

It was seen that constructing the questionnaire with twenty-seven items and four sub-dimensions provides better information about Turkish obese individuals. Factor loadings ranged from 0·421 to 0·846, and item total score correlations ranged from 0·214 to 0·558. Cronbach’s α coefficient was found to be 0·639 for the whole scale. A positive, strong and statistically significant correlation was detected between TFEQ and DEBQ, which was used as a parallel form (r = 0·519, P < 0·001).

Conclusion:

In Turkey, the long version of the TFEQ scale was found valid and reliable for obese adult individuals. TFEQ can be used by clinicians or researchers to study the eating behaviour of obese individuals.

Factor Structure and Psychometric Properties of Emotional Eater Questionnaire (EEQ) in Spanish Colleges

Emotional eating (EE) patterns have been shown to play a relevant role in the development of overweight problems. However, there is a gap in research aimed at validating questionnaires to assess EE in specific populations. The aim of the study was to analyze factor structure and psychometric properties of Emotional Eater Questionnaire (EEQ) in Spanish universities. EEQ, state-anxiety subscale of STAI and a questionnaire about health habits were filled out by 295 students. Exploratory Factor Analysis (EFA) by using Unweight Least Squares (ULS) method was carried out. To determine factor numbers we used eigenvalues, parallel analysis, and goodness of fit statistics. Cronbach’s alpha and Spearman correlations were used to analyze reliability, convergent, and concurrent validity. The parallel analysis and goodness of fit statistics showed that unifactorial structure of seven items was the most appropriate what accounted for 57% of the variance. Internal consistency was good (α = 0.753), as well as convergent validity (r = 0.317; p < 0.001). Concurrent validity was significant for three of the five criteria (r = −0.224; p < 0.001 and r = −0.259; p < 0.001). The results suggest some differences in the structure of the psychometric assessment of EE in sub-clinical population in comparison with previous studies carried on with an overweight population, what could be relevant to obesity prevention.