Accuracy of Self‐reported Weight and Height in Binge Eating Disorder: Misreport Is Not Related to Psychological Factors

This study examined the degree of misreport in weight, height, and BMI among overweight adults (n = 392) with binge eating disorder (BED) and tested whether the degree of misreport was associated with eating disorder psychopathology and psychological variables. Male (n = 97) and female (n = 295) participants self‐reported height and weight, and were subsequently measured by clinic staff. Participants also completed a series of diagnostic interviews and self‐report assessments. Discrepancies between self‐reported and measured values were modest. The degree of misreport for weight, height, and BMI was not related to eating disorder features, depression, and self‐esteem. Overall, the errors in self‐reported weight and height by overweight patients with BED were very slight. The degree of discrepancy between self‐reported and measured values was not related to eating disorder or psychological features, suggesting that such data are not biased or systematically related to individual differences in overweight patients with BED.     

The Relationship Between Parent and Child Self‐Reported Adherence and Weight Loss

Objective: Better adherence to treatment strategies in family‐based behavioral weight control programs may lead to greater weight reduction and improved weight maintenance in youth. This study assessed the influence of child and parent self‐reported adherence to behavioral strategies on changes in 2‐year child and parent percentage overweight. Research Methods and Procedures: Participants included 8‐ to 12‐year‐old children in ≥ 85th BMI percentile and their parents from 110 families taking part in two family‐based randomized controlled weight control studies. This study examined whether self‐reported adherence to behavioral strategies measured at 24 months increased prediction of child and parent percentage overweight change through 24‐month follow‐up after accounting for other factors that may influence weight change. Results: Child adherence to weighing and to preplanning for celebrations where high‐fat foods are served and parent adherence to praising the child and modeling healthy eating habits predicted 24‐month child percentage overweight change (p < 0.001). Child adherence to recording food and calories and parent adherence to modeling healthy eating habits predicted 24‐month parent percentage overweight change (p < 0.001). In hierarchical regression models, child weighing and preplanning and parent modeling were significant (p < 0.01) incremental predictors (r² of 24.8%) of 24‐month child percentage overweight. Child recording and parent modeling were significant (p < 0.01) incremental predictors (r² of 14%) of parent 24‐month percentage overweight change. Discussion: Child and parent adherence to specific components of family‐based behavioral weight control treatment are independent predictors of long‐term child and parent percentage overweight change.     

Cross‐Sectional and Longitudinal Associations between Body Mass Index and Marriage‐Related Factors

Objective: To assess the relationship between marriage and obesity. Research Methods and Procedures: Cross‐sectional and longitudinal associations were examined between participant body mass index (BMI), spouse BMI, and participant diet and exercise habits. Results: Spouse and participant BMI and BMI changes over 2 years were significantly associated. Participant BMI was associated with higher consumption of calorie‐dense foods and lower frequency of physical activity. Participants’ eating and exercise habits were only weakly related to spouse BMI. BMI did not predict the likelihood of marriage or divorce. However, marriage was associated with a significant 2‐year weight gain and divorce with a significant 2‐year weight loss. Discussion: The results suggest that spouse similarity in BMI is at least partly due to shared environment. The observed effects of marriage and divorce on weight may be due to the influence of marriage on inducements to eat (e.g., shared meals) or on motivation for weight control.     

Overweight,Obesity, and Binge Eating in a Non‐clinical Sample of Five Brazilian Cities

Objective: To investigate the relationship between obesity/overweight and binge eating episodes (BEEs) in a large nonclinical population. Research Methods and Procedures: Consumers at shopping centers in five Brazilian cities (N = 2858) who participated in an overweight prevention program were interviewed and had weight and height measured to calculate BMI. Results: Prevalence of overweight (BMI = 25 to 29.9 kg/m²) was 46.6% for men and 36.6% for women. Obesity (BMI ≥ 30 kg/m²) was about two‐thirds of the prevalence of overweight. BEEs (subjects who binged one or more times per week over the last 3 months) in normal‐weight individuals was 1.4% for men and 3.9% for women, whereas in overweight/obese, these prevalences were 6.5% and 5.5%, respectively (p < 0.01). After adjustment for age, socioeconomic variables, and childhood obesity, those who reported BEEs had an odds ratio of being overweight/obese of 3.31 (95% confidence interval: 1.11 to 9.85) for men and 1.73 (95% confidence interval: 1.05 to 2.84) for women. Discussion: These findings indicate a strong association between episodes of binge eating and overweight/obesity, mainly among men.     

Eating Frequency is Associated With Energy Intake but Not Obesity in Midlife Women

Midlife women tend to gain weight with age, thus increasing risk of chronic disease. The purpose of this study was to examine associations between overweight/obesity and behavioral factors, including eating frequency, in a cross‐sectional national sample of midlife women (n = 1,099) (mean age = 49.7 years, and BMI = 27.7 kg/m²). Eating behaviors and food and nutrient intakes were based on a mailed 1‐day food record. BMI was calculated from self‐reported height and weight, and level of physical activity was assessed by self‐reported questionnaire. After exclusion of low‐energy reporters (32% of sample), eating frequency was not associated with overweight/obesity (P > 0.05) and was not different between BMI groups (normal, 5.21 ± 1.79; overweight, 5.16 ± 1.74; obese, 5.12 ± 1.68, P = 0.769). Adjusted logistic regression showed that eating frequency, snacking frequency, breakfast consumption, eating after 10 pm and consuming meals with children or other adults were not significantly associated with overweight/obesity. Total energy intake increased as eating frequency increased in all BMI groups, however, obese women had greater energy intake compared to normal weight women who consumed the same number of meals and snacks. Intake of fruit and vegetables, whole grains, dietary fiber, dairy, and added sugars also increased as eating frequency increased. While eating frequency was not associated with overweight/obesity, it was associated with energy intake. Thus, addressing total energy intake rather than eating frequency may be more appropriate to prevent weight gain among midlife women.     

Influence of parents' eating behaviors and child feeding practices on children's weight status

Objective : To investigate the effects of mothers’ and fathers’ eating behaviors, child feeding practices, and BMI on percentage body fat and BMI in their children. Research Methods and Procedures : Four hundred fifty‐eight parents (239 mothers, 219 fathers) were asked to complete two questionnaires: the Three‐Factor Eating Questionnaire and the Child Feeding Questionnaire, which measure dimensions of parent eating behavior and child feeding practices, respectively. Parent BMI was calculated from self‐reported height and weight; children's measures included BMI and percentage fat assessed by DXA. Regression analyses were used to analyze relationships between parents’ BMI and questionnaire scores and children's weight status. Results : One hundred forty‐three mothers and 68 fathers returned questionnaires, representing parents of 148 children 3 to 5 years old (78 boys). Children's weight was related to mothers’ BMI, but not fathers’. Girls had a greater BMI if either parent reported being overweight as a child, and both girls and boys were likely to be overweight if their mothers believed they had risky eating habits (fussiness, eating too much, etc.). Girls with fathers who were more controlling had a higher percentage fat; these fathers were also more concerned about their daughters’ future health. Discussion : Mothers exert a strong influence over their children's weight and seem to be more concerned about their children's eating behaviors; however, fathers play a role in imposing child feeding practices. Gender bias may be present in child feeding, as suggested by dissimilar effects of parent practices on the weight status of girls vs. boys. Fathers should be included in future studies analyzing parent feeding practices and children's weight outcome.     

Risk Factors for Adult Overweight and Obesity in the Quebec Family Study: Have We Been Barking Up the Wrong Tree?

The aim of this study was to determine the independent contribution of previously reported risk factors for adult overweight and obesity. A cross‐sectional (n = 537) and a longitudinal (n = 283; 6‐year follow‐up period) analysis was performed for nine risk factors for overweight and obesity assessed in adult participants (aged 18–64 years) of the Quebec Family Study (QFS). The main outcome measure was overweight/obesity, defined as a BMI ≥25 kg/m². Using logistic regression analysis adjusted for age, sex, and socioeconomic status, short sleep duration, high disinhibition eating behavior, low dietary calcium intake, high susceptibility to hunger behavior, nonparticipation in high‐intensity physical exercise, high dietary restraint behavior, nonconsumption of multivitamin and dietary supplements, high dietary lipid intake, and high alcohol intake were all significantly associated with overweight and obesity in the cross‐sectional sample. The analysis of covariance adjusted for age, socioeconomic status, and all other risk factors revealed that only individuals characterized by short sleep duration, high disinhibition eating behavior, and low dietary calcium intake had significantly higher BMI compared to the reference category in both sexes. Over the 6‐year follow‐up period, short‐duration sleepers, low calcium consumers, and those with a high disinhibition and restraint eating behavior score were significantly more likely to gain weight and develop obesity. These results show that excess body weight or weight gain results from a number of obesogenic behaviors that have received considerable attention over the past decade. They also indicate that the four factors, which have the best predictive potential of variations in BMI, be it in a cross‐sectional or a longitudinal analytical design, do not have a “caloric value” per se.     

The Influence of Physical Activity,Socioeconomic Status,and Ethnicity on the Weight Status of Adolescents

Objective: This study examined the effects of physical activity, television viewing, video game play, socioeconomic status (SES), and ethnicity on body mass index (BMI). Research Methods and Procedures: The sample was 2389 adolescents, 10 to 16 years of age (12.7 ± 1.0 years); 1240 (52%) females and 1149 (48%) males; 77% white and 23% African American; from rural (77%) and urban (23%) settings. BMI and skinfolds were directly assessed. All other data were obtained from questionnaires. Results: Watching television on non‐school days was related to being overweight (p < 0.005). However, when BMI analyses were adjusted for ethnicity and SES, there were no significant effects of television viewing on BMI (p > 0.061). Increased hours of video game play enhanced the risk of being overweight for both genders when analyses were adjusted for ethnicity and SES (p < 0.019). In males, participation in as little as one high‐intensity physical activity 3 to 5 days a week decreased the ethnic‐ and SES‐adjusted relative risk of being overweight (RR = 0.646; CI: 0.427 to 0.977). For females, the ethnic‐ and SES‐adjusted relative risk for being overweight was not significantly altered by physical activity. The logistic analyses further indicated the influence of low SES and African American ethnicity overshadowed any direct effect of television or videos. Discussion: Because weight status of male adolescents appears to be more related to exercise habits than to television or video game habits, increased participation in high‐intensity exercise appears to be important. For females, neither videos nor exercise habits appear to be related to risk of being overweight. However, ethnicity and SES may be important factors that can influence body weight status, while television viewing may be of some importance. Thus, programs to reduce obesity in female adolescent should focus their efforts in lower SES communities.     

Cognitive Biases to Healthy and Unhealthy Food Words Predict Change in BMI

The current study explored the predictive value of cognitive biases to food cues (assessed by emotional Stroop and dot probe tasks) on weight change over a 1‐year period. This was a longitudinal study with undergraduate students (N = 102) living in shared student accommodation. After controlling for the effects of variables associated with weight (e.g., physical activity, stress, restrained eating, external eating, and emotional eating), no effects of cognitive bias were found with the dot probe. However, for the emotional Stroop, cognitive bias to unhealthy foods predicted an increase in BMI whereas cognitive bias to healthy foods was associated with a decrease in BMI. Results parallel findings in substance abuse research; cognitive biases appear to predict behavior change. Accordingly, future research should consider strategies for attentional retraining, encouraging individuals to reorient attention away from unhealthy eating cues.     

The Association between Weight Perception and BMI among High School Students

Objective: To assess the association between weight perception and BMI among a large, diverse sample of adolescents. This study used both measured and self‐reported height and weight to calculate BMI. Research Methods and Procedures: A convenience sample of students (n = 2032) in grades 9 through 12 completed a questionnaire assessing demographic characteristics, self‐reported height and weight, and body weight perception. These students were then weighed and had their height measured using a standard protocol. Results: Using BMI calculated from measured height and weight, 1.5% of students were classified as underweight or at risk for underweight, 51.2% of students were normal weight, and 47.4% were overweight or at risk for overweight. Among this same sample of students, however, 34.8% perceived themselves as underweight, 42.9% perceived themselves as about the right weight, and 22.3% perceived themselves as overweight. Even when using BMI calculated from self‐reported height and weight, >20% of students who were overweight or at risk for overweight perceived themselves as underweight. Discussion: Because perception of overweight is a key determinant of adolescent nutritional habits and weight management, many students who are overweight or at risk for overweight but who do not perceive themselves as such are unlikely to engage in weight control practices. Increasing awareness of medical definitions of overweight might improve accuracy of weight perceptions and lead to healthier eating and increased physical activity.     

Binge Eating and Eating‐Related Cognitions and Behavior in Ethnically Diverse Obese Women

Objective: To examine binge eating and eating‐related cognitions and behavior in a sample of ethnically diverse women who are severely obese and seeking bariatric surgery. Research Methods and Procedures: Female bariatric surgery candidates (62 African Americans, 18 Latinas, 130 whites) completed questionnaires on binge eating and eating‐related cognitions and behavior and completed a structured clinical interview to confirm binge‐eating disorder diagnosis. Results: Ethnic minorities and whites did not differ in rates of binge‐eating disorder (26.3%), binges per week (M = 0.95), or dietary restraint. Ethnic minorities reported less disinhibition, and there was a trend to report less hunger awareness than whites. After controlling for BMI and education, ethnicity accounted for significant variance in disinhibition (4%; p < 0.01). Ethnic minorities were younger, became overweight at a later age, and were overweight for fewer years than whites. Discussion: Results suggest that ethnicity exerts an important influence on disinhibition and that ethnic differences are not caused by BMI or education. Findings point to the need to continue to investigate the role of ethnicity, binge eating, and disinhibition in severely obese women, so that culturally appropriate services can be provided.     

Size and socio-economic resources of core discussion networks in the Netherlands: differences by national-origin group and immigrant generation

This study examines differences in the size and socio-economic resources of core discussion networks across national-origin groups and immigrant generation. The analysis is based on the Netherlands Longitudinal Lifecourse Study (2008–10), a nationally representative, large-scale survey of the Dutch population that contains an over-sample of first- and second-generation immigrants from Turkey and Morocco, the two largest non-western immigrant groups in the Netherlands. Results show that Dutch majority members have larger and more resourceful core discussion networks than Turks and Moroccans. Second-generation immigrants from Turkey and Morocco have larger core discussion networks than their foreign-born parents. However, there is no clear evidence for intergenerational increase in resources. The larger and more resourceful core discussion networks of the Dutch are partly attributable to the Dutch being higher educated and employed more often.     

Binge eating behavior among a national sample of overweight and obese veterans

Objective:

Despite the high prevalence of overweight and obesity in the US military veterans, binge eating has not been examined in this population.

Design and Methods:

Using a secondary data analysis approach, the prevalence and correlates of self‐reported binge eating among 45,477 overweight or obese veterans receiving care in Veterans Health Administration facilities were examined. Participants completed a 23‐item survey that assessed demographics, weight history, physical and mental health comorbidities, and eating habits during routine medical clinic visits. χ² and logistic regression were used to examine the relationships among binge eating and demographic variables and medical and psychiatric comorbidities.

Results:

Nearly, three‐quarters of the sample reported clinically meaningful binge eating (i.e., two or more times per week). Binge‐eaters were more likely to report higher body mass index, depression, anxiety, and type 2 diabetes (P <0.0001). After controlling for potentially confounding variables, male veterans were significantly more likely to report clinically meaningful binge eating than female veterans (P < 0.001).

Conclusion:

These results have important implications for modifying weight management programs and highlight the need for the assessment and treatment to address binge eating, particularly among men and patients with type 2 diabetes.     

PROP taster status interacts with the built environment to influence children's food acceptance and body weight status

Objectives:

Eating behaviors and obesity are complex phenotypes influenced by genes and the environment, but few studies have investigated the interaction of these two variables. The purpose of this study was to use a gene‐environment interaction model to test for differences in children's food acceptance and body weights.

Design and Methods:

Inherited ability to taste 6‐n‐propylthiouracil (PROP) was assessed as a marker of oral taste responsiveness. Food environment was classified as “healthy” or “unhealthy” based on proximity to outlets that sell fruits/vegetables and fast foods using Geographic Information Systems (GIS). The cohort consisted of 120 children, ages 4‐6 years, recruited from New York City over 2005‐2010. Home address and other demographic variables were reported by parents and PROP status, food acceptance, and anthropometrics were assessed in the laboratory. Based on a screening test, children were classified as PROP tasters or non‐tasters. Hierarchical linear models analysis of variance was performed to examine differences in food acceptance and body mass index (BMI) z‐scores as a function of PROP status, the food environment (“healthy” vs. “unhealthy”), and their interaction.

Results and Conclusion:

Results showed an interaction between taster status and the food environment on BMI z‐score and food acceptance. Non‐taster children living in healthy food environments had greater acceptance of vegetables than taster children living in healthy food environments (P ≤ 0.005). Moreover, non‐tasters from unhealthy food environments had higher BMI z‐scores than all other groups (P ≤ 0.005). Incorporating genetic markers of taste into studies that assess the built environment may improve the ability of these measures to predict risk for obesity and eating behaviors. Obesity (2012)     

Association of Self-perceived Body Weight Status with Dietary Reporting by U.S. Teens*

Objective: Children's self perception of body weight and the medical definition of obesity show poor correlation. This study examined the independent associations of body mass index (BMI) and self-perceived weight status (considered self over-, under-, or right weight) with food reporting, nutrient intake estimates, and biomarkers of dietary exposure. Research Methods and Procedures: Dietary (one 24-hour recall), anthropometric, and biochemical data were from the third National Health and Nutrition Examination Survey (1269 boys and 1385 girls, ages 12 to 18 years). Sex-specific multiple regression analyses were used to determine the association of BMI and self-perceived body weight status with reported intakes of energy, macronutrients, low-nutrient-dense foods, micronutrients, and serum concentrations of selected vitamins and carotenoids. Results: Reported intakes of energy, macronutrients, number of eating occasions, percentage of energy from low-nutrient-dense foods, likelihood of meeting the standard of intake of micronutrients, and biomarkers were not different among boys and girls who perceived themselves as overweight relative to those who perceived themselves at the right weight (p > 0.05). In boys, BMI was a negative predictor of percentage of energy from low-nutrient-dense foods (p = 0.004) and intake of ascorbic acid (p = 0.04). BMI was inversely related to serum concentrations of most carotenoids (p ≤ 0.002). Discussion: Perceiving oneself as overweight was not associated with reporting of low-nutrient-dense foods, macronutrients, micronutrients, and biomarker status; BMI, however, was a significant predictor of several outcomes.     

Identification of an Obese Eating Style in 4‐year‐old Children Born at High and Low Risk for Obesity

This study tested whether children's eating behavior and parental feeding prompts during a laboratory test meal differ among children born at high risk (HR) or low risk (LR) for obesity and are associated with excess child weight gain. At 4 years of age, 32 HR children (mean maternal prepregnancy BMI = 30.4 kg/m²) and 29 LR children (maternal BMI = 19.6 kg/m²) consumed a test meal in which their eating behavior was assessed, including rate of caloric consumption, mouthfuls/min, and requests for food. Parental prompts for the child to eat also were measured at year 4, and child body composition was measured at ages 4 and 6 years. T‐tests, and logistic and multiple regression analyses tested study aims. Results indicated that HR and LR children did not differ in eating rate or parental feeding prompts. Greater maternal BMI, child mouthfuls of food/min, and total caloric intake/min during the test meal predicted an increased risk of being overweight or obese at age 6, whereas greater active mealtime was associated with a reduced risk of being overweight or obese. Regression analyses indicated that only mouthfuls of food/min predicted changes in BMI from 4 to 6 years, and mouthfuls of food/min and gender predicted 2‐year changes in sum of skinfolds and total body fat. Thus, a rapid eating style, characterized by increased mouthfuls of food/min, may be a behavioral marker for the development of childhood obesity.     

Parent overweight predicts daughters' increase in BMI and disinhibited overeating from 5 to 13 years

Objective: To assess whether parental overweight status and disinhibited overeating are predictive of daughters’ accelerated weight gain and disinhibited overeating. Research Methods and Procedures: Participants were part of a longitudinal study of girls (N = 197) and their parents. Measured height and weight were used to calculate BMI [weight (kilograms)/height (meters)²]. Parents’ disinhibited eating behavior was assessed using the Eating Inventory. Girls’ disinhibited eating was assessed using a behavioral protocol to measure eating in the absence of hunger. Girls were classified based on parental overweight at study entry into four groups: neither, mother only, father only, or both parents overweight. Results: Girls with both parents overweight had the most rapid increases in BMI from 5 to 13 years of age; BMI increased most slowly among the neither parent overweight group, with intermediate increases in BMI among mother only and father only overweight groups. Daughters with both parents overweight at study entry were eight times more likely to be overweight at age 13, controlling for daughters’ weight at age 5. Girls with both parents overweight had higher levels of disinhibited eating across all ages than all other groups. Although girls in all parental weight status groups showed increases in disinhibited eating over time, girls with both parents overweight had larger increases in disinhibited eating over time compared with all other groups. Discussion: Girls growing up in families differing in parental overweight had divergent developmental trajectories for BMI and disinhibited overeating. Findings reveal the need to focus prevention efforts on overweight parents of young children.     

Familial transmission of eating behaviors in preschool-aged children

To examine weight-related differences in eating behaviors and nutrition of preschool-aged children, the influence of maternal eating behavior on the child's eating behavior, and sex-related differences in the transmission of eating behaviors. A total of 142 mothers of children aged 3-6 years participated. Maternal and child's eating behaviors as well as child's food consumption were assessed using questionnaires completed by mothers. Maternal BMI and child's standardized BMI (BMI-SDS) were also calculated. More than half of the mothers were obese. Multiple regression analysis was used to predict eating behavior of the children by mothers' variables. Overweight children scored higher in external eating, food responsiveness, and speed of eating than normal-weight children, whereas children of overweight mothers showed higher amounts of emotional eating than children of normal-weight mothers. Maternal emotional eating (R(2) = 0.19, P < 0.001) and mother's BMI (R(2) = 0.07, P < 0.05) positively predicted emotional eating of sons. Maternal emotional eating (R(2) = 0.19, P < 0.01) completely mediated the relation between mother's BMI and emotional eating of sons. For mother-daughter dyads, no such relation was found. The tested model shows sex-related differences in the transmission of maternal eating behavior which is discussed as being related to the development and maintenance of obesity.     

Eating Behaviors and Indexes of Body Composition in Men and Women from the Québec Family Study

Objective: To put into relationship the dietary and anthropometric profile of men and women with their eating behaviors (cognitive dietary restraint, disinhibition, and susceptibility to hunger) and to assess whether gender and obesity status influence these associations. Research Methods and Procedures: Anthropometric measurements (including visceral adipose tissue accumulation), dietary profile (3‐day food record), and eating behaviors (Three‐Factor Eating Questionnaire) were determined in a sample of 244 men and 352 women. Results: Women had significantly higher cognitive dietary restraint and disinhibition scores than men (p < 0.0001). In both genders, scores for disinhibition and susceptibility to hunger, but not for cognitive dietary restraint, were higher in obese subjects than in overweight and nonobese subjects (p < 0.05). Positive correlations were observed between rigid restraint and most of the anthropometric variables studied (0.12 ≤ r ≤ 0.16). Moreover, in women, flexible restraint was negatively associated with body fat and waist circumference (r = ?0.11). Cognitive dietary restraint and rigid restraint were positively related to BMI among nonobese women (0.19 ≤ r ≤ 0.20), whereas in obese men, cognitive dietary restraint and flexible restraint tended to be negatively correlated with BMI (?0.20 ≤ r ≤ ?0.22; p = 0.10). Discussion: Gender could mediate associations observed between eating behaviors and anthropometric profile. It was also found that disinhibition and susceptibility to hunger are positively associated with the level of obesity. On the other hand, cognitive dietary restraint is not consistently related to body weight and adiposity, whereas rigid and flexible restraint are oppositely associated to obesity status, which suggests that it is important to differentiate the subscales of cognitive dietary restraint. Finally, counseling aimed at coping with disinhibition and susceptibility to hunger could be of benefit for the long‐term treatment of obesity.