Eating behavior and weight change in healthy postmenopausal women: results of a 4-year longitudinal study

Appetite disinhibition rather than hunger explains genetic effects on adult BMI trajectory

Background/objectives

The mediating role of eating behaviors in genetic susceptibility to weight gain during mid-adult life is not fully understood. This longitudinal study aims to help us understand contributions of genetic susceptibility and appetite to weight gain.

Subjects/methods

We followed the body-mass index (BMI) trajectories of 2464 adults from 45 to 65 years of age by measuring weight and height on four occasions at 5-year intervals. Genetic risk of obesity (gene risk score: GRS) was ascertained, comprising 92 BMI-associated single-nucleotide polymorphisms and split at a median (=high and low risk). At the baseline, the Eating Inventory was used to assess appetite-related traits of ‘disinhibition’, indicative of opportunistic eating or overeating and ‘hunger’ which is susceptibility to/ability to cope with the sensation of hunger. Roles of the GRS and two appetite-related scores for BMI trajectories were examined using a mixed model adjusted for the cohort effect and sex.

Results

Disinhibition was associated with higher BMI (β = 2.96; 95% CI: 2.66–3.25 kg/m²), and accounted for 34% of the genetically-linked BMI difference at age 45. Hunger was also associated with higher BMI (β = 1.20; 0.82–1.59 kg/m²) during mid-life and slightly steeper weight gain, but did not attenuate the effect of disinhibition.

Conclusions

Appetite disinhibition is most likely to be a defining characteristic of genetic susceptibility to obesity. High levels of appetite disinhibition, rather than hunger, may underlie genetic vulnerability to obesogenic environments in two-thirds of the population of European ancestry.

Uncontrolled eating: a unifying heritable trait linked with obesity, overeating, personality and the brain

Many eating-related psychological constructs have been proposed to explain obesity and overeating. However, these constructs, including food addiction, disinhibition, hedonic hunger, emotional eating, binge eating and the like all have similar definitions, emphasizing loss of control over intake. As questionnaires measuring the constructs correlate strongly (r > 0.5) with each other, we propose that these constructs should be reconsidered to be part of a single broad phenotype: uncontrolled eating. Such an approach enables reviewing and meta-analysing evidence obtained with each individual questionnaire. Here, we describe robust associations between uncontrolled eating, body mass index (BMI), food intake, personality traits and brain systems. Reviewing cross-sectional and longitudinal data, we show that uncontrolled eating is phenotypically and genetically intertwined with BMI and food intake. We also review evidence on how three psychological constructs are linked with uncontrolled eating: lower cognitive control, higher negative affect and a curvilinear association with reward sensitivity. Uncontrolled eating mediates all three constructs' associations with BMI and food intake. Finally, we review and meta-analyse brain systems possibly subserving uncontrolled eating: namely, (i) the dopamine mesolimbic circuit associated with reward sensitivity, (ii) frontal cognitive networks sustaining dietary self-control and (iii) the hypothalamus-pituitary-adrenal axis, amygdala and hippocampus supporting stress reactivity. While there are limits to the explanatory and predictive power of the uncontrolled eating phenotype, we conclude that treating different eating-related constructs as a single concept, uncontrolled eating, enables drawing robust conclusions on the relationship between food intake and BMI, psychological variables and brain structure and function.

Intrinsic brain subsystem associated with dietary restraint, disinhibition and hunger: an fMRI study

Eating behaviors are closely related to body weight, and eating traits are depicted in three dimensions: dietary restraint, disinhibition, and hunger. The current study aims to explore whether these aspects of eating behaviors are related to intrinsic brain activation, and to further investigate the relationship between the brain activation relating to these eating traits and body weight, as well as the link between function connectivity (FC) of the correlative brain regions and body weight. Our results demonstrated positive associations between dietary restraint and baseline activation of the frontal and the temporal regions (i.e., food reward encoding) and the limbic regions (i.e., homeostatic control, including the hypothalamus). Disinhibition was positively associated with the activation of the frontal motivational system (i.e., OFC) and the premotor cortex. Hunger was positively related to extensive activations in the prefrontal, temporal, and limbic, as well as in the cerebellum. Within the brain regions relating to dietary restraint, weight status was negatively correlated with FC of the left middle temporal gyrus and left inferior temporal gyrus, and was positively associated with the FC of regions in the anterior temporal gyrus and fusiform visual cortex. Weight status was positively associated with the FC within regions in the prefrontal motor cortex and the right ACC serving inhibition, and was negatively related with the FC of regions in the frontal cortical-basal ganglia-thalamic circuits responding to hunger control. Our data depicted an association between intrinsic brain activation and dietary restraint, disinhibition, and hunger, and presented the links of their activations and FCs with weight status.

Factors behind nonadherence to diet regimens among obese adults in Tanta, Egypt: a case-control study

BACKGROUND

Nonadherence to diet regimens is a major cause of treatment failure in the field of obesity management. It varies according to the study design and the type of intervention. In weight loss clinical trials, nonadherence rates range from 10 to 80%. Strategies to reduce dropout rates rely on precise identification of factors leading to premature program termination. The aim of this research was to study factors behind nonadherence to diet regimens among obese adults in Tanta, Egypt.

PARTICIPANTS AND METHODS

A retrospective, case-control study was carried out during the year 2014 in an obesity management private clinic in Tanta, Gharbia Governorate, Egypt. The study included two groups of 150 participants each (adherents and nonadherents) matched for sex and BMI. Self-administered questionnaires were used to collect data concerning sociodemographic characteristics, weight changes, dieting, and behavioral, psychological, and medical factors. Personal perspectives on potential factors contributing to nonadherence to diet regimens were also investigated.

RESULTS

Factors significantly associated with probabilities high probability of to loss of adherence to diet regimens were as follows: younger age, urban residence, higher educational levels, obesity of grades I and III, a higher frequency of previous weight loss trials, consumption of fruits and vegetables less than that recommended (<5 times/day), higher weight loss expectations, and binge eating. The most common personal perspectives on causes limiting adherence to diet regimens were as follows: unsatisfactory results (37.3%), difficulties in dieting practices (33.3%), logistics (30.0%), and fading of motives (27.3%).

CONCLUSION AND RECOMMENDATIONS

Obese individuals seeking weight reduction with young age, urban residence, higher educational levels, a higher frequency of previous weight loss trials, higher weight loss expectations, and those with perceived unsatisfactory results are more prone to lose their adherence to diet regimens. Individuals with factors of nonadherence should receive extra care to avoid their withdrawal from diet programs and to improve clinical outcomes.

Obesity susceptibility loci and uncontrolled eating, emotional eating and cognitive restraint behaviors in men and women

OBJECTIVE

Many confirmed genetic loci for obesity are expressed in regions of the brain that regulate energy intake and reward-seeking behavior. Whether these loci contribute to the development of specific eating behaviors has not been investigated. The relationship between a genetic susceptibility to obesity and cognitive restraint, uncontrolled and emotional eating was examined.

METHODS

Eating behavior and body mass index (BMI) were determined by questionnaires for 1471 men and 2381 women from two US cohorts. Genotypes were extracted from genome-wide scans and a genetic-risk score (GRS) derived from 32 obesity-loci was calculated.

RESULTS

The GRS was positively associated with emotional and uncontrolled eating (P<0.002). In exploratory analysis, BMI-increasing variants of MTCH2, TNNI3K, and ZC3H4 were positively associated with emotional eating and those of TNNI3K and ZC3H4 were positively associated with uncontrolled eating. The BMI-increasing variant of FTO was positively and those of LRP1B and TFAP2B were inversely associated with cognitive restraint. These associations for single SNPs were independent of BMI but were not significant after multiple-testing correction.

CONCLUSIONS

An overall genetic susceptibility to obesity may also extend to eating behaviors. The link between specific loci and obesity may be mediated by eating behavior but larger studies are warranted to confirm these results.

Dieting and restrained eating as prospective predictors of weight gain

Research in normal weight individuals paradoxically suggests that measures of attempted eating restriction might represent robust predictors of weight gain. This review examined the extent to which measures of dieting (e.g., self-reported weight loss dieting in the past year) and dietary restraint (e.g., the Cognitive Restraint scale from the Three-Factor Eating Questionnaire) have prospectively predicted weight change. We located and reviewed 25 prospective studies containing 40 relevant comparisons. Studies were limited to those in which participants were non-obese (with a mean BMI between 18.5 and 30) and averaged at least 12 years old. Neither measure predicted future weight loss. Fifteen of the 20 comparisons (75%) that examined measures of dieting significantly predicted future weight gain whereas only 1 of 20 (5%) that examined restrained eating measures did so. Two plausible explanations for these findings are that: (1) dieters and restrained eaters do not differ in terms of an underlying proneness toward weight gain, but restrained eating represents a more effective means of preventing it; and (2) normal weight individuals who diet do so because they are resisting a powerful predisposition toward weight gain which dieting ultimately fails to prevent. Recent dieting in non-obese individuals may be a valuable proxy of susceptibility to weight gain. This easily assessed characteristic could identify individuals for whom obesity prevention interventions would be particularly appropriate.

Genetic and Environmental Influences on Eating Behavior - A Study of Twin Pairs Reared Apart or Reared Together

This study examined the relative influence of genetic versus environmental factors on specific aspects of eating behavior. Adult monozygotic twins (22 pairs and 3 singleton reared apart, 38 pairs and 9 singleton reared together, age 18–76 years, BMI 17–43 kg/m²) completed the Three Factor Eating Questionnaire. Genetic and environmental variance components were determined for the three eating behavior constructs and their subscales using model-fitting univariate and multivariate analyses. Unique environmental factors had a substantial influence on all eating behavior variables (explaining 45–71% of variance), and most strongly influenced external locus for hunger and strategic dieting behavior of restraint (explaining 71% and 69% of variance, respectively). Genetic factors had a statistically significant influence on only 4 variables: restraint, emotional susceptibility to disinhibition, situational susceptibility to disinhibition, and internal locus for hunger (heritabilities were 52%, 55%, 38% and 50%, respectively). Common environmental factors did not statistically significantly influence any variable assessed in this study. In addition, multivariate analyses showed that disinhibition and hunger share a common influence, while restraint appears to be a distinct construct. These findings suggest that the majority of variation in eating behavior variables is associated with unique environmental factors, and highlights the importance of the environment in facilitating specific eating behaviors that may promote excess weight gain.

Differences in weight gain in hypertensive and diabetic elderly patients primary care study

BACKGROUND

Treatment and care of elderly patients with diabetes and hypertension means a hard task in primary care. Patients with these two components of metabolic syndrome are often overweight or obese. Although some parameters of metabolic syndrome are usually measured in a medical setting, checking body weight is usually done by the patients.

AIM

The aim of this study is to analyse the patients' self-recorded data on weight and compare them according to hypertension and diabetes.

PATIENTS AND METHODS

Five hundred and forty people (225 men and 315 women) between 60 and 75 years of age were eventually selected in primary care settings. Retrospective self-recorded data on recent weights and every decade since the age of 20, as well as the decade prior to diagnosis were collected. The data of patients with and without diabetes and/or hypertension were compared.

RESULTS

The current mean body weight was significantly higher in all groups than at the age of 20. Compared with the control group, hypertensive men and women were approximately of the same weight in their twenties and, also, recently, but they gained more weight in the 4th and 5th decades of their life. Diabetics started at higher weights. The greatest weight gain was observed as follows: between 20-30 years and 30-40 years in men and women, respectively, as well as between 50-60 years of age and in the last decade prior to diagnosis in both genders. Weight gain in the control group was steady at a lower rate.

CONCLUSIONS

Weight gain between 20-40 years of age could be an important factor in the aetiology of diabetes. Stable or at least limited weight gain may be a preventive factor. Considering the limitations of the study, further and decades long epidemiological evaluations are suggested in a larger study population.

Influence of Physical Activity Participation on the Associations between Eating Behaviour Traits and Body Mass Index in Healthy Postmenopausal Women

Available data reveals inconsistent relationships between eating behaviour traits and markers of adiposity level. It is thus relevant to investigate whether other factors also need to be considered when interpreting the relationship between eating behaviour traits and adiposity. The objective of this cross-sectional study was thus to examine whether the associations between variables of the Three-Factor Eating Questionnaire (TFEQ) and adiposity are influenced by the level of physical activity participation. Information from the TFEQ and physical activity was obtained from 113 postmenopausal women (56.7 ± 4.2 years; 28.5 ± 5.9 kg/m(2)). BMI was compared between four groups formed on the basis of the physical activity participation and eating behaviour traits medians. In groups of women with higher physical activity participation, BMI was significantly lower in women who presented higher dietary restraint when compared to women who had lower dietary restraint (25.5 ± 0.5 versus 30.3 ± 1.7 kg/m(2), P < .05). In addition, among women with lower physical activity participation, BMI was significantly lower in women presenting a lower external hunger than in those with a higher external hunger (27.5 ± 0.8 versus 32.4 ± 1.1 kg/m(2), P < .001). Our results suggest that physical activity participation should also be taken into account when interpreting the relationship between adiposity and eating behaviour traits.

Effects of the addition of a resistance training programme to a caloric restriction weight loss intervention on psychosocial factors in overweight and obese post-menopausal women: a Montreal Ottawa New Emerging Team study

The aim of this study was to examine the effects of the addition of a resistance training programme to a caloric restriction weight loss intervention on psychosocial profile. The study sample consisted of 137 overweight and obese post-menopausal women. Participants were randomized to a caloric restriction group and caloric restriction + resistance training group. Psychosocial, anthropometric, and metabolic variables were measured before and after the 6-month weight loss intervention. Both groups presented similar weight loss and there were no significant differences between the caloric restriction group and caloric restriction + resistance training group for changes in psychosocial profile. Thereafter, all participants were classified into quintiles based on the amount of weight loss. In all quintiles, women markedly improved body esteem and self-esteem, and decreased hunger and perceived risk for diabetes mellitus (P < 0.05). However, significant increases in dietary restraint were observed in quintiles 2-5 (> or =2.4 % body weight loss), decreases in disinhibition in quintiles 3-5 (> or =4.9 %), increases in self-efficacy in quintiles 3-5 (> or =4.9 %), and increases in health perceptions in quintile 5 (> or =11.1%). The results of this study do not support the hypothesis that the addition of a resistance training programme to a caloric restriction weight loss intervention has additional benefits on psychosocial profile. Overall, the significant improvements in the psychosocial profile observed were mostly accounted for by the degree of weight loss.

Nursing's role in nutrition

There are not enough dietitians and nutritionists available to serve the entire healthcare industry. That means that nurses often fill the role of nutrition counselors. Nurses do not receive extensive education about nutrition, but there are great opportunities for nurses in nutrition, both as educators and researchers. One way this can happen is through the use of nutrition assessment tools. This article introduces a freeware nutritional assessment tool for use on Windows-based computers (available at http://nursing.jmu.edu). Unlike currently available tools, the Nutrition Analyzer is a stand-alone, Web-independent product, which builds a database of client data that can be manipulated for analysis and research.

Impact of antipsychotic treatments on the motivation to eat: preliminary results in 153 schizophrenic patients

Many aspects of the motivation to eat are involved in the impairment of adequate food intake and body weight control. The aim of this study was to evaluate, by adopting widely used eating questionnaires, the Three Factors Eating Behaviour Questionnaire (TFEQ) and the Dutch Eating Behavior Questionnaire (DEBQ), the associations of different antipsychotic medications with the food attitudes of 153 schizophrenic patients: we compared 93 individuals treated with atypical antipsychotics, 27 treated with conventional neuroleptics and 33 untreated patients. We did not find any difference according to sex, but the mean body mass index varied significantly among the three groups of patients. The DEBQ external eating factor was higher in patients treated with atypical antipsychotics than in patients who received conventional neuroleptics (P=0.035). The TFEQ disinhibition and DEBQ emotional eating scores tended to change among the three types of treatment. Patients with metabolic syndrome (19%) had lower DEBQ external eating scores (P=0.044) and a tendency of higher TFEQ disinhibition scores. The TFEQ disinhibition and hunger scores increased according to the body mass index (P=0.003; P=0.017). The main outcome of this study is that the patients treated with atypical antipsychotics were more reactive to external eating cues, which could partly explain the higher weight gain often reported in these patients.

Dieting, restraint, and disinhibition predict women's weight change over 6 y

BACKGROUND

Although disinhibited eating is positively associated with higher weight in women, it is not known whether restrained eating and dieting moderate the influence of disinhibited eating on weight change.

OBJECTIVE

The objective was to investigate over 6 y the interactive effects of restrained and disinhibited eating and self-reported dieting to lose weight as predictors of weight gain in women.

DESIGN

Data were collected from non-Hispanic white women (n = 163) every 2 y. Height and weight were measured in triplicate. Dietary restraint and disinhibition were assessed by using the Eating Inventory. Participants were also asked if they were "currently dieting to lose weight." Multilevel modeling was used to examine change in weight as a function of time-invariant and time-varying predictors, including dietary restraint, dietary disinhibition, and self-reported dieting.

RESULTS

After covariates were adjusted for, growth curve models showed that within-person increases in restraint over time were associated with concurrent decreases in weight and that higher levels of restraint moderated the positive association between dietary disinhibition and weight. Women who reported dieting at study entry were heavier at study entry and gained more weight over time than did nondieters. Finally, a significant interaction between restraint, disinhibition, and dieting showed that restraint moderated the effect of disinhibition on weight differently in nondieters than in dieters.

CONCLUSIONS

Increasing levels of dietary restraint may be beneficial in moderating weight by attenuating the positive association between disinhibition and weight in dieting women. An understanding of weight and weight change requires examination of the interactive effects of restraint, disinhibition, and dieting.

Aspects of eating behaviors "disinhibition" and "restraint" are related to weight gain and BMI in women

OBJECTIVE

The causes of adult weight gain leading to obesity are uncertain. We examined the association of adult weight gain and obesity with subscales of eating behavior characteristics in older women.

METHODS AND PROCEDURES

Current height and weight, eating behavior subscales (disinhibition subscales-habitual, situational, and emotional; restraint subscales-flexible and rigid; hunger subscales-internal and external) as assessed using the Eating Inventory (EI), and self-reported body weight at six prior age intervals were reported by 535 women aged 55-65 years. Multiple regression analysis was used to examine the relationships between EI subscale scores and weight change from the age interval of 30-39 to 55-60 years and current BMI.

RESULTS

The strongest correlate of weight gain over 20 years was susceptibility to overeating in response to everyday cues within the environment (habitual disinhibition; partial correlation coefficient (r) = 0.25, P < 0.001); susceptibility to overeating in response to emotional states such as depression (emotional disinhibition) was a quantitatively weaker but significant correlate (partial r = 0.17, P < 0.001), and susceptibility to overeating in response to specific situations such as social occasions (situational disinhibition) was not associated with weight gain. Flexible control of dietary restraint attenuated the influence of habitual disinhibition in particular on weight gain and BMI, and was less effective in attenuating associations of emotional or situational disinhibition.

DISCUSSION

Lifestyle modification programs for prevention and treatment of adult-onset obesity currently focus on reducing situational and emotional overeating; the results of this study suggest that a stronger emphasis on strategies that target habitual overeating may be warranted.