Association between weight bias internalization and metabolic syndrome among treatment-seeking individuals with obesity.

Rebecca L Pearl, Thomas A Wadden, Christina M Hopkins, Jena A Shaw, Matthew R Hayes, Zayna M Bakizada, Nasreen Alfaris, Ariana M Chao, Emilie Pinkasavage, Robert I Berkowitz, Naji Alamuddin

Journal: Obesity (Silver Spring, Md.) 2017;25(2):317-322

PMID: 28124502

Plain Language Summary

plain language summary logo

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/m ) 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.

© 2017 The Obesity Society.

Address: Department of Psychiatry, Center for Weight and Eating Disorders, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Department of Psychology, Duke University, Durham, North Carolina, USA.; Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Department of Medicine Gastrointestinal Unit, MGH Weight Center, Massachusetts General Hospital, Boston, Massachusetts, USA.; Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Department of Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.; Department of Medicine, Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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