Impact of information about obesity genomics on the stigmatization of overweight individuals: an experimental study

Using Educational Videos and Perspective-Taking to Communicate Gene-By-Environment Interaction Concepts about Eating Behavior: Effects on Empathy and Weight Stigma

OBJECTIVE

This study investigated whether education about gene-by-environment interaction (G × E) concepts could improve G × E knowledge and positively affect empathy and weight stigma.

DESIGN

We conducted a randomized trial using a 2 × 2 between-subjects design.

SETTING

Online.

PARTICIPANTS

Five hundred eighty-two American participants from the Prolific platform.

INTERVENTION

Participants were randomly assigned to watch an educational or a control video. Participants then watched a set of vignette scenarios that depicted what it is like to have a predisposition toward obesogenic eating behaviors from either a first-person or third-person perspective.

MAIN OUTCOME MEASURE(S)

Participants completed questionnaires measuring G × E knowledge, causal attributions, weight stigma, and empathy postintervention.

ANALYSIS

Two-by-two between-subjects ANOVAs and exploratory mediation analyses were conducted.

RESULTS

Participants who watched the educational video demonstrated greater G × E knowledge, reported higher empathy toward the characters in the vignette scenarios and held fewer stigmatizing attitudes (notably blame) toward individuals with higher weight. Exploratory mediation analyses indicated that the educational video led to these positive downstream effects by increasing the extent to which participants attributed genetic causes to eating behaviors.

CONCLUSIONS AND IMPLICATIONS

Education about G × E causes of eating behaviors can have beneficial downstream effects on attitudes toward people with higher weight.

Is obesity in the brain? Parent perceptions of brain influences on obesity

Neuroimaging studies demonstrate associations of brain structure and function with children's eating behaviour and body weight, and the feasibility of integrating brain measures into obesity risk assessment and intervention is growing. However, little is known about lay perceptions of how the brain influences obesity. We investigated parent perceptions of brain contributions to obesity in three separate studies: 1) a study of mothers of adolescents recruited for neuroimaging research (n = 88), 2) a study of ethnically Chinese parents of 5-13 year olds participating in a parent feeding survey (n = 277), and 3) a study of parents of 3-15 year olds completing an online survey (n = 113). In general, parents believed that brain factors influence obesity, but considered them less influential than behaviours such as diet and exercise. Causal attributions for brain factors were correlated with attributions for genetic factors and biological factors (e.g., metabolism). Parents who perceived their child to be overweight or had a high concern about their child becoming overweight in the future rated brain factors as more important in determining their child's weight and more likely to lessen their child's ability to control their weight. Our results suggest that parents attribute obesity to the brain to a moderate degree, and that education or feedback regarding brain influences on obesity could be a promising obesity intervention component.

Does weight-related stigmatisation and discrimination depend on educational attainment and level of income? A systematic review

OBJECTIVES

Obesity is considered a global health issue, because of its health-related consequences and also because of its impact on social status as a result of stigma. This study aims to review the quantitative state of research regarding socioeconomic characteristics' influence on weight-related stigmatisation and discrimination. Based on Bourdieu's Theory of Class and his concept of 'habitus', it is assumed that people with a higher level of education and income show stronger negative attitudes towards people with obesity.

METHOD

A narrative systematic literature review was conducted in 2017 using PubMed, PsychINFO, Web of Science and the Cochrane Library. Seventeen studies that measured weight bias and either educational attainment or level of income were included in the analysis.

RESULTS

The results of the studies included were inconsistent: six of these studies were found to support the hypothesis, whereas two of the studies contradicted it. The remaining seven studies did not show any significant correlation between weight bias and either education or income.

CONCLUSION

In light of the inconsistent and heterogeneous results of the studies that report a significant association between weight bias and socioeconomic variables, the findings must be discussed concerning their cultural context, that is, cultural and governmental differences. Furthermore, educational attainment seems to be more likely to predict weight bias than income. The review revealed a lack of research when it came to examining the impact of socioeconomic capital on weight bias.

Impact of exposure to counterstereotypic causality of obesity on beliefs about weight controllability and obesity bias

Individuals with obesity often report experiencing prejudice and discrimination due to their weight. Past research on obesity bias reduction strategies have yielded mixed results. The present study investigated the effectiveness of manipulating information about weight controllability in reducing obesity bias. Participants (N = 350) were randomly assigned into one of three conditions: counterstereotypic, stereotypic, or control. Each condition consisted of four short vignettes. The counterstereotypic condition provided an uncontrollable explanation of obesity (e.g., genetics) in each vignette describing a person with obesity, while the stereotypic condition emphasized lifestyle choices as the main cause of obesity. The control condition included a vignette in which weight was not addressed. Participants completed questionnaires about weight controllability and obesity bias pre- and post-exposure. There was a significant interaction between time and condition on beliefs about weight controllability and obesity bias. Participants in the counterstereotypic condition increased in belief about the uncontrollability of weight and decreased in obesity bias, while participants in the stereotypic condition decreased in belief about the uncontrollability of weight and increased in obesity bias. Obesity bias reduction strategies that utilize information about weight controllability can be effective. However, perpetuating stereotypic causes of obesity can worsen the problem.

Using Virtual Human Technology to Examine Weight Bias and the Role of Patient Weight on Student Assessment of Pediatric Pain

The purpose of the study was to investigate the influence of weight bias and demographic characteristics on the assessment of pediatric chronic pain. Weight status, race, and sex were manipulated in a series of virtual human (VH) digital images of children. Using a web-based platform, 96 undergraduate students with health care-related majors (e.g., Health Science, Nursing, Biology, and Pre-Medicine) read a clinical vignette and provided five ratings targeting the assessment of each VH child's pain. Students also answered a weight bias questionnaire. Group-based analyses were conducted to determine the influence of the VH child's weight and demographic cues, as well as greater weight bias on assessment ratings. Male and VH children with obesity were rated as more likely to avoid non-preferred activities due to pain compared to female and healthy weight children, respectively (both p < .001). The pain of VH children with obesity was rated as more likely to be influenced by psychological/behavioral issues compared to the pain of healthy weight VH children (p = .022). African American VH children were rated as experiencing significantly greater pain than Caucasian VH children (p = .037). As child weight increased, low weight bias participants felt more sympathy, while high weight bias participants felt less sympathy (p = .002). Also, low weight bias participants showed increased motivation to help, while high weight bias participants showed less motivation to help, as VH patient weight increased (p = .008). Child weight and evaluator weight bias may be influential in the assessment of pediatric pain. If supported by future research, results highlight the importance of training in evidence-based practice and education on weight bias for students majoring in health-care fields.

Self-Regulation Principles Underlying Risk Perception and Decision Making within the Context of Genomic Testing

Advances in theory and research on self-regulation and decision-making processes have yielded important insights into how cognitive, emotional, and social processes shape risk perceptions and risk-related decisions. We examine how self-regulation theory can be applied to inform our understanding of decision-making processes within the context of genomic testing, a clinical arena in which individuals face complex risk information and potentially life-altering decisions. After presenting key principles of self-regulation, we present a genomic testing case example to illustrate how principles related to risk representations, approach and avoidance motivations, emotion regulation, defensive responses, temporal construals, and capacities such as numeric abilities can shape decisions and psychological responses during the genomic testing process. We conclude with implications for using self-regulation theory to advance science within genomic testing and opportunities for how this research can inform further developments in self-regulation theory.

Changing attitudes towards obesity - results from a survey experiment

Background

This experimental study in a population-based sample aimed to compare attitudes towards obesity following three different causal explanations for obesity (individual behavior, environmental factors, genetic factors).

Methods

The data were derived from an online representative sample. A random subsample of n = 407 participants was included. Two independent variables were investigated: cause of obesity as described in the vignette and cause of obesity as perceived by the participant regardless of vignette. Quality features of the vignettes (accuracy and bias of the vignette) were introduced as moderators to regression models. Three stigma-related outcomes (negative attitudes, blame and social distance) served as dependent variables.

Results

Inaccuracy and bias was ascribed to the social environmental and genetic vignettes more often than to the individual cause vignette. Overall, participants preferred individual causes (72.6%). While personal beliefs did not differ between the genetic and environmental cause conditions (Chi² = 4.36, p = 0.113), both were different from the distribution seen in the individual cause vignette. Negative attitudes as well as blame were associated with the belief that individuals are responsible for obesity (b = 0.374, p = 0.003; 0.597, p < 0.001), but were not associated with vignette-manipulated causal explanation. The vignette presenting individual responsibility was associated with lower levels of social distance (b = −0.183, p = 0.043). After including perceived inaccuracy and bias as moderators, the individual responsibility vignette was associated with higher levels of blame (emphasis: b = 0.980, p = 0.010; bias: b = 0.778, p = 0.001) and the effect on social distance vanished.

Conclusions

This study shows that media and public health campaigns may solidify beliefs that obesity is due to individual causes and consequently increase stigma when presenting individual behavior as a cause of obesity. Public health messages that emphasize the role of social environmental or genetic causes may be ineffective because of entrenched beliefs.

Effect of Motivational Interviewing on Weight Efficacy Lifestyle among Women with Overweight and Obesity: A Randomized Controlled Trial

Obesity and overweight have become increasingly a major public health problem across the world. This study aimed at exploring the effects of motivational interviewing on weight efficacy lifestyle among women with obesity and overweight. A single-blind randomized clinical trial study was conducted on 100 overweight and obese women who attended a nutrition clinic. The samples were selected based on the clinical records and assigned into two groups, namely motivational interviewing arm (50 samples) and nutrition education arm (50 samples). Data were collected using a standard validated questionnaire entitled "weight efficacy lifestyle". The intervention was designed according to five motivation sessions and four nutrition education programs, such that the participants of the nutrition education arm were also provided with the nutrition pamphlets related to weight control. Data were finally analyzed using the SPSS statistical software by performing the independent t-test, chi-square, LSD and repeated measures ANOVA tests. P<0.05 were considered statistically significant. The mean age of women was 39.9±9.1 and 36.3±8.9 years in the control and motivational interviewing arms, respectively. Compared with the control group, the score of the motivational interviewing group was statistically significant in terms of weight efficacy lifestyle P=0.0001) and all subscales including social pressure (P=0.0001), physical discomfort (P=0.005), food accessibility (P=0.0001), positive and entertainment activities (P=0.0001), as well as negative emotions (P=0.003). Motivational interviewing appeared to be effective in increasing weight efficacy lifestyle among women with overweight and obesity.

TRIAL REGISTRATION NUMBER

IRCT2014051817736N1.

Weight Stigma Reduction and Genetic Determinism

One major approach to weight stigma reduction consists of decreasing beliefs about the personal controllability of-and responsibility for-obesity by educating about its biogenetic causes. Evidence on the efficacy of this approach is mixed, and it remains unclear whether this would create a deterministic view, potentially leading to detrimental side-effects. Two independent studies from Germany using randomized designs with delayed-intervention control groups served to (1) develop and pilot a brief, interactive stigma reduction intervention to educate N = 128 university students on gene × environment interactions in the etiology of obesity; and to (2) evaluate this intervention in the general population (N = 128) and determine mechanisms of change. The results showed (1) decreased weight stigma and controllability beliefs two weeks post-intervention in a student sample; and (2) decreased internal attributions and increased genetic attributions, knowledge, and deterministic beliefs four weeks post-intervention in a population sample. Lower weight stigma was longitudinally predicted by a decrease in controllability beliefs and an increase in the belief in genetic determinism, especially in women. The results underline the usefulness of a brief, interactive intervention promoting an interactionist view of obesity to reduce weight stigma, at least in the short term, lending support to the mechanisms of change derived from attribution theory. The increase in genetic determinism that occurred despite the intervention's gene × environment focus had no detrimental side-effect on weight stigma, but instead contributed to its reduction. Further research is warranted on the effects of how biogenetic causal information influences weight management behavior of individuals with obesity.

Effect of Motivational Interviewing on a Weight Loss Program Based on the Protection Motivation Theory

Background:

The prevalence of overweight and obesity is on the increase the world over, which imposes an ever-increasing burden on societies and health care systems.

Objectives:

This study sought to investigate the effect of motivational interviewing (MI) on a weight-loss program based on the protection motivation theory (PMT).

Patients and Methods:

This randomized clinical trial study, comprising pretest-posttest with a control group, was conducted on 150 overweight and obese women attending a private nutrition clinic for the first time. Samples were randomly selected using the clinic’s records and then allocated to three groups (50 women in each group) receiving: 1) a standard weight-control program; 2) motivational interviewing; and 3) MI plus intention intervention. Data were collected using a researcher-made questionnaire through in-person interviews and were analyzed using SPSS (version 11) and statistical tests, including the Kruskal-Wallis test, one-way analysis of variance, paired t-test, and linear regression model.

Results:

In the two intervention groups, the PMT construct scores, namely susceptibility (P = 0.001), severity (P = 0.001), rewards (P =0.004), self-efficacy (P = 0.001), response efficacy (P = 0.001), and costs (P = 0.014), were significantly increased compared to those in the control group. The anthropometric status was statistically significant in the MI group (P = 0.001) and the MI plus intention-intervention group (P = 0.001) at 2 months’ follow-up, while in the control group, weight was meaningfully different after the intervention (P = 0.027). Weight was different between the groups after the intervention, with the Tukey test demonstrating that the differences were statistically significant between the control group and the MI group.

Conclusions:

Our results demonstrated that MI, combined with the implementation of intention intervention, increased weight loss and PMT construct scores in our study population.

A national survey of public views about the classification of obesity as a disease

OBJECTIVE

In 2013, the American Medical Association classified obesity as a disease. This study assessed public opinions about this disease classification.

METHODS

In January 2014, a national sample of 1118 adults completed surveys assessing their agreement with 33 statements in support of and against the disease classification of obesity, as well as measures assessing sociodemographic characteristics.

RESULTS

The majority of participants (51-61.7%) agreed with 11 of 17 statements in support of the disease classification of obesity (average agreement across all statements = 51%), including views that it will help people gain access to obesity treatment. A minority of participants (31-47.3%) agreed with 15 of 16 statements against the disease classification (average agreement across statements = 39.5%), including views that it will increase overreliance on medications or surgery to treat obesity (47.3%). Participants' attitudes were unaffected by sex, income, education, or health status but were related to causal beliefs about obesity. The disease classification received more support from African Americans and more opposition by individuals with higher weight stigma.

CONCLUSIONS

This study found more public agreement supporting the disease classification of obesity than opposing it. Further work should identify whether this classification affects health behaviors among individuals with obesity or societal weight stigmatization.

Stigma and eating and weight disorders

Although research has consistently documented the prevalence and negative health implications of weight stigma, little is known about the stigma associated with eating disorders. Given that weight stigma is a risk factor associated with disordered eating, it is important to address stigma across the spectrum of eating and weight disorders. The aim of this review is to systematically review studies in the past 3 years evaluating stigma in the context of obesity and eating disorders (including binge eating disorder, bulimia nervosa, and anorexia nervosa). Physical and psychological health consequences of stigma for individuals with obesity and eating disorders are discussed. Recent studies on weight stigma substantiate the unique influence of stigma on psychological maladjustment, eating pathology, and physiological stress. Furthermore, research documents negative stereotypes and social rejection of individuals with eating disorder subtypes, while attributions to personal responsibility promote blame and further stigmatization of these individuals. Future research should examine the association of stigma related to eating disorders and physical and emotional health correlates, as well as its role in health-care utilization and treatment outcomes. Additional longitudinal studies assessing how weight stigma influences emotional health and eating disorders can help identify adaptive coping strategies and improve clinical care of individuals with obesity and eating disorders.

Malleability of weight-biased attitudes and beliefs: a meta-analysis of weight bias reduction interventions

Weight bias exists across many important life domains, necessitating interventions designed to reduce weight-biased attitudes and beliefs. Though the effectiveness of weight bias interventions has been questioned, to our knowledge no meta-analysis of these interventions has been conducted. This meta-analysis evaluated the impact of weight bias interventions on weight-biased attitudes and beliefs and explored potential moderators. Interventions were eligible if they used an adult sample and a validated measure of weight-biased attitudes, which resulted in the inclusion of 30 studies represented in 29 articles. A random effects approach using inverse weights resulted in a mean effect size estimate of g=-0.33 (lower scores indicate less weight bias) for both attitudes and beliefs. Intervention type, publication type, and population type were not significant moderators but demonstrated noteworthy trends. Results reveal a small, positive effect of weight bias interventions on weight-biased attitudes and beliefs and provide useful information for future interventions.

Attitudes towards obesity in the Swedish general population: the role of one's own body size, weight satisfaction, and controllability beliefs about obesity

This study examined the associations of different socio-demographic and psychological factors with attitudes towards obesity. Individuals with different weight status (N=2436) were drawn from an annual population-based survey in Sweden, and data on attitudes towards obesity (ATOP) and predictor variables were assessed in 2008. The strongest predictor of ATOP was controllability beliefs about obesity (β=0.83). Thus, greater controllability beliefs about obesity predicted more negative attitudes. Sex and weight satisfaction were also independently associated with ATOP. However, there was no, or only a weak, association between weight satisfaction and ATOP among individuals with normal weight or overweight. And the higher the weight satisfactions of individuals with obesity, the more positive were their attitudes. It seems that stigma-reduction strategies in the general public should address the uncontrollable factors in the aetiology of obesity. However, more research is needed to understand the underlying causes of people's attitudes towards obesity.

Weighing the stigma of weight: An fMRI study of neural reactivity to the pain of obese individuals

Explicit negative attitudes and blameful beliefs (e.g. poor diet, laziness) towards obese individuals are well documented and are pervasive even among health professionals. Here we sought to determine whether obesity stigma is reflected in a fundamental feature of intersubjectivity namely the automatic neural resonance with others' affective experiences. During fMRI, normal-weight female participants observed short clips depicting normal-weight (NW) and obese (Ob) models experiencing pain. Importantly, participants believed that half of the Ob were overweight due to a hormonal disorder (HormOb) and ignored the cause of obesity of the remaining models (Unknown obese models; UnkOb). Analyses of hemodynamic responses showed reduced activity to the pain of Ob compared to that of NW in areas associated with pain processing and early visual processing. The comparison between the two Ob conditions revealed a further decrease of activity to HormOb's pain compared to UnkOb's (and NW) pain in the right inferior frontal gyrus, an area associated with emotional resonance. Our study demonstrates that stigma for obese individuals can be observed at implicit levels, and that it is modulated by knowledge concerning the etiology of obesity, with the seemingly surprising result that obesity due to disease may result in greater stigmatization. Moreover, the perceived similarity with the models and the ambivalent emotion of pity may index biased brain responses to obese individuals' pain. The study highlights a possibly important neural link between resonance with the pain of others and obesity stigma.

Impact of informing overweight individuals about the role of genetics in obesity: an online experimental study

BACKGROUND/AIMS

Increasing public awareness of obesity genetics could have beneficial or harmful effects on overweight individuals. This study examined the impact of genetic information on weight-related cognitions as well as interest in personalized genetic information about obesity among overweight individuals.

METHODS

Online survey respondents (n = 655) were randomly assigned to read either genetic, gene-environment, or nongenetic obesity causal information. Fifty-two percent of the participants were female, 82.4% were White, 45% had an annual income of USD <40,000, and the mean BMI was 32.5. Internalized weight stigma was measured using the Weight Bias Internalization Scale.

RESULTS

Participants in the genetic and gene-environment conditions were more likely to believe genetics increase obesity risk than participants in the nongenetic condition (both p < 0.05); however, they did not differ regarding internalized weight stigma. Sixty-four percent of the participants expressed interest in receiving personalized genetic information about their obesity risk.

CONCLUSION

Dissemination of information about obesity genetics may have neither a beneficial nor a harmful impact on how overweight individuals perceive themselves. Some overweight individuals may be interested in receiving personalized genetic information. The actual effects of obesity genetic information being incorporated into public health messages and of personalized genetic information on obesity prevention and treatment interventions remain to be seen.

'Battling my biology': psychological effects of genetic testing for risk of weight gain

The availability of genetic tests for multifactorial conditions such as obesity raises concerns that higher-risk results could lead to fatalistic reactions or lower-risk results to complacency. No study has investigated the effects of genetic test feedback for the risk of obesity in non-clinical samples. The present study explored psychological and behavioral reactions to genetic test feedback for a weight related gene (FTO) in a volunteer sample (n = 18) using semi-structured interviews. Respondents perceived the gene test result as scientifically objective; removing some of the emotion attached to the issue of weight control. Those who were struggling with weight control reported relief of self-blame. There was no evidence for either complacency or fatalism; all respondents emphasized the importance of lifestyle choices in long-term weight management, although they recognized the role of both genes and environment. Regardless of the test result, respondents evaluated the testing positively and found it motivating and informative. Genetic test feedback for risk of weight gain may offer psychological benefits beyond its objectively limited clinical utility. As the role of genetic counselors is likely to expand, awareness of reasons for genetic testing for common, complex conditions and reactions to the test result is important.

Obesity and the relationship with positive and negative affect

OBJECTIVE

To examine the cross-sectional association between overweight and obesity and positive and negative affect.

METHOD

Participants included 273 women, aged 29-84 years, who were enrolled in the Geelong Osteoporosis Study (GOS). Weight and height were measured and overweight and obesity determined from body mass index (BMI; kg/m(2)) according to WHO criteria. Medical history and lifestyle exposures were assessed by questionnaire. Positive and negative affect scores were derived using the validated 20-item Positive and Negative Affect Schedule (PANAS) and categorised into tertiles.

RESULTS

A pattern of greater negative affect scores was observed for increasing levels of BMI. Setting normal weight as the referent category, the odds for having a negative affect score in the highest tertile were sequentially increased for women who were overweight (OR = 1.31, 95% CI: 0.72-2.40) and obese (OR = 1.95, 95% CI: 1.02-3.73). The association between obesity and increased negative affect was diminished by adjusting for physical illness (adjusted OR = 1.76, 95% CI: 0.91-3.42). These associations were not substantially influenced by positive affect score or other exposures. No association was detected between BMI categories and positive affect scores.

CONCLUSIONS

We report data suggesting that obesity is associated with greater negative affect scores, reflecting emotions such as distress, anger, disgust, fear and shame, and that this association is attenuated by physical illness. Further investigations are now warranted to explore possible mechanistic interplay between pathological, neurobiological and psychosocial factors.

Morbid obesity in women on the rise: an observational, population-based study

Background

The obesity epidemic is generally monitored by the proportion of the population whose body mass index (BMI) exceeds 30 kg/m² but this masks the growing proportion of those who are morbidly obese. This issue is important as the adverse health risks amplify as the level of obesity increases. The aim of this study was to determine how the prevalence of morbid obesity (BMI ≥ 40.0 kg/m²) has changed over a decade among women living in south-eastern Australia.

Methods

BMI was determined for women in the Geelong Osteoporosis study (GOS) during two time periods, a decade apart. Height and weight were measured for 1,494 women (aged 20–94 years) during 1993–7 and for 1,076 women (aged 20–93 years), 2004–8, and the BMI calculated as weight in kilograms divided by the square of the height in metres (kg/m²). Prevalence estimates were age-standardised to enable direct comparisons.

Results

Mean BMI increased from 26.0 kg/m² (95%CI 25.7-26.3) in 1993–7, to 27.1 kg/m² (95%CI 26.8-27.4) in 2004–8. During this period, the prevalence of morbid obesity increased from 2.5% to 4.2% and the standardised morbidity ratio for morbid obesity was 1.69 (95%CI 1.26-2.27). Increases in mean BMI and prevalence of morbid obesity were observed for all ages and across the socioeconomic spectrum.

Conclusions

These findings reveal that over a decade, there has been an increase in mean BMI among women residing in south-eastern Australia, resulting in a measurable increase in the prevalence of morbid obesity.