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The Effect of a Food Addiction Explanation Model for Weight Control and Obesity on Weight Stigma.
O'Brien, KS, Puhl, RM, Latner, JD, Lynott, D, Reid, JD, Vakhitova, Z, Hunter, JA, Scarf, D, Jeanes, R, Bouguettaya, A, et al
Nutrients. 2020;12(2)
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Research suggests that weight stigma is increasing and is associated with multiple negative health and psychological outcomes. Public health messaging presently emphasises weight gain as lack of personal control of diet and exercise, which contributes to the stigma and ignores the myriad of uncontrollable factors that also contribute to weight gain. One component of weight gain is food addiction, in which food is shown to be as rewarding to the brain as other addictive substances. It is currently unclear whether an explanation of the food addiction model (FAM) will affect weight stigma, and there is a need to understand the factors that contribute and reinforce weight stigmatisation. The aim of this study is to assess whether providing a FAM explanation for weight gain would impact expressions of weight stigma. Two experiments were done in which college students were randomly allocated to read a simulated article that focused on either food addiction or diet and exercise as contributing factors to obesity. The participants then completed a survey assessing their perception of obesity. This study found the FAM explanation resulted in a significantly lower weight stigma. Based on these results, the authors suggest current public health messaging that attributes obesity to lack of personal control needs to be changed as it exacerbates weight stigma.
Abstract
There is increasing scientific and public support for the notion that some foods may be addictive, and that poor weight control and obesity may, for some people, stem from having a food addiction. However, it remains unclear how a food addiction model (FAM) explanation for obesity and weight control will affect weight stigma. In two experiments (N = 530 and N = 690), we tested the effect of a food addiction explanation for obesity and weight control on weight stigma. In Experiment 1, participants who received a FAM explanation for weight control and obesity reported lower weight stigma scores (e.g., less dislike of 'fat people', and lower personal willpower blame) than those receiving an explanation emphasizing diet and exercise (F(4,525) = 7.675, p = 0.006; and F(4,525) = 5.393, p = 0.021, respectively). In Experiment 2, there was a significant group difference for the dislike of 'fat people' stigma measure (F(5,684) = 5.157, p = 0.006), but not for personal willpower weight stigma (F(5,684) = 0.217, p = 0.81). Participants receiving the diet and exercise explanation had greater dislike of 'fat people' than those in the FAM explanation and control group (p values < 0.05), with no difference between the FAM and control groups (p >0.05). The FAM explanation for weight control and obesity did not increase weight stigma and resulted in lower stigma than the diet and exercise explanation that attributes obesity to personal control. The results highlight the importance of health messaging about the causes of obesity and the need for communications that do not exacerbate weight stigma.
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Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study.
Spooner, C, Jayasinghe, UW, Faruqi, N, Stocks, N, Harris, MF
BMC public health. 2018;18(1):640
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People in higher categories of obesity are at substantially increased health risk because mortality increases sharply as body mass index rises above 30. In addition to physical health risks, people with obesity commonly experience weight-related stigma. The aim of this study was to identify predictors of perceived weight stigma among patients with obesity attending general practices in socioeconomically disadvantaged urban areas of Australia. This is a cross-sectional study for which data from telephone interviews with patients with obesity were used. Patients were recruited from 17 general practices in socioeconomically disadvantaged areas of Sydney and Adelaide. Results indicate that one-third of the sample had experienced direct forms of weight discrimination in the week before being interviewed. Furthermore, weight discrimination was more likely to be experienced by patients in higher obesity categories, who were not employed, who spoke a language other than English at home and who had lower scores on the Health Literacy Questionnaire domain (that measures the ability to actively engage with healthcare providers). Authors conclude that weight stigma may compound other forms of social disadvantage. Thus, strategies are needed to address weight stigma at the individual, system and population levels and to educate primary care providers to be more alert to the needs of their patients with obesity.
Abstract
BACKGROUND Rates of obesity have increased globally and weight stigma is commonly experienced by people with obesity. Feeling stigmatised because of one's weight can be a barrier to healthy eating, physical activity and to seeking help for weight management. The aim of this study was to identify predictors of perceived weight among middle-older aged patients with obesity attending general practices in socioeconomically disadvantaged urban areas of Australia. METHODS As part of a randomised clinical trial in Australia, telephone interviews were conducted with 120 patients from 17 general practices in socioeconomically disadvantaged of Sydney and Adelaide. Patients were aged 40-70 years with a BMI ≥ 30 kg/m2. The interviews included questions relating to socio-demographic variables (e.g. gender, language spoken at home), experiences of weight-related discrimination, and the Health Literacy Questionnaire (HLQ). Multi-level logistic regression data analysis was undertaken to examine predictors of recent experiences of weight-related discrimination ("weight stigma"). RESULTS The multi-level model showed that weight stigma was positively associated with obesity category 2 (BMI = 35 to < 40; OR 4.47 (95% CI 1.03 to 19.40)) and obesity category 3 (BMI = ≥ 40; OR 27.06 (95% CI 4.85 to 150.95)), not being employed (OR 7.70 (95% CI 2.17 to 27.25)), non-English speaking backgrounds (OR 5.74 (95% CI 1.35 to 24.45)) and negatively associated with the HLQ domain: ability to actively engage with healthcare providers (OR 0.12 (95% CI 0.05 to 0.28)). There was no association between weight stigma and gender, age, education or the other HLQ domains examined. CONCLUSIONS Weight stigma disproportionately affected the patients with obesity most in need of support to manage their weight: those with more severe obesity, from non-English speaking backgrounds and who were not in employment. Additionally, those who had experienced weight stigma were less able to actively engage with healthcare providers further compounding their disadvantage. This suggests the need for a more proactive approach to identify weight stigma by healthcare providers. Addressing weight stigma at the individual, system and population levels is recommended. TRIAL REGISTRATION The trial was registered with the Australian Clinical Trials Registry ACTRN126400102162 .
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Association between weight bias internalization and metabolic syndrome among treatment-seeking individuals with obesity.
Pearl, RL, Wadden, TA, Hopkins, CM, Shaw, JA, Hayes, MR, Bakizada, ZM, Alfaris, N, Chao, AM, Pinkasavage, E, Berkowitz, RI, et al
Obesity (Silver Spring, Md.). 2017;25(2):317-322
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Weight stigma is a psychosocial consequence in which individuals with obesity experience public discrimination and devaluation. Some individuals apply these negative stereotypes to themselves, which creates a self-directed stigma referred to as weight bias internalization (WBI). While studies have found perceived weight discrimination to be associated with an increased risk of mortality, no study has investigated the relationship between WBI and obesity on the risk of developing metabolic syndrome (MetS). The aim of this study is to examine the relationship between WBI and MetS. The authors hypothesised that among obese individuals, higher levels of WBI would be associated with increased odds of having MetS. Among the 178 obese adults recruited, 159 completed the study. Tests included anthropometric measurements, blood analysis, the Weight Bias Internalization Scale (WBIS) and the Patient Health Questionnaire. This study found that individuals who self-stigmatise may have a heightened risk of dyslipidemia, one component of MetS. Based on these results, the authors conclude that weight stigma is a chronic stressor and may contribute to poor health. Future studies are needed to identify specific pathways in which WBI exacerbates cardiometaoblic risk factors.
Abstract
OBJECTIVE Weight stigma is a chronic stressor that may increase cardiometabolic risk. Some individuals with obesity self-stigmatize (i.e., weight bias internalization, WBI). No study to date has examined whether WBI is associated with metabolic syndrome. METHODS Blood pressure, waist circumference, and fasting glucose, triglycerides, and high-density lipoprotein cholesterol were measured at baseline in 178 adults with obesity enrolled in a weight-loss trial. Medication use for hypertension, dyslipidemia, and prediabetes was included in criteria for metabolic syndrome. One hundred fifty-nine participants (88.1% female, 67.3% black, mean BMI = 41.1 kg/m2 ) completed the Weight Bias Internalization Scale and Patient Health Questionnaire (PHQ-9, to assess depressive symptoms). Odds ratios and partial correlations were calculated adjusting for demographics, BMI, and PHQ-9 scores. RESULTS Fifty-one participants (32.1%) met criteria for metabolic syndrome. Odds of meeting criteria for metabolic syndrome were greater among participants with higher WBI, but not when controlling for all covariates (OR = 1.46, 95% CI = 1.00-2.13, P = 0.052). Higher WBI predicted greater odds of having high triglycerides (OR = 1.88, 95% CI = 1.14-3.09, P = 0.043). Analyzed categorically, high (vs. low) WBI predicted greater odds of metabolic syndrome and high triglycerides (Ps < 0.05). CONCLUSIONS Individuals with obesity who self-stigmatize may have heightened cardiometabolic risk. Biological and behavioral pathways linking WBI and metabolic syndrome require further exploration.