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Observational Study
. 2019 Jul;30(7):1030-1039.
doi: 10.1177/0956797619849440. Epub 2019 Jun 3.

Perceived Weight Discrimination Mediates the Prospective Association Between Obesity and Physiological Dysregulation: Evidence From a Population-Based Cohort

Affiliations
Observational Study

Perceived Weight Discrimination Mediates the Prospective Association Between Obesity and Physiological Dysregulation: Evidence From a Population-Based Cohort

Michael Daly et al. Psychol Sci. 2019 Jul.

Abstract

Obesity is thought to cause ill health because of the biological strain that excess fat has on physiological function. We tested an alternative explanation in a population-based sample of 3,609 older English adults-that the pervasive discrimination experienced by individuals with excess weight may in part explain why obesity is associated with subsequent multisystem physiological dysregulation, measured via clinical indicators of cardiovascular, metabolic, and immune function. We found that both obesity and perceived weight discrimination predicted an increase in physiological dysregulation from baseline to follow-up 4 years later. Perceived discrimination because of body weight experienced by individuals with obesity explained more than one quarter of the prospective association between obesity and a deterioration in biomarkers of health status. These findings highlight the possibility that the stigma experienced by individuals with obesity may play an important role in explaining the obesity-related disease burden.

Keywords: allostasis; dysregulation; longitudinal research; obesity; obesity stigma; weight discrimination.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared that there were no conflicts of interest with respect to the authorship or the publication of this article.

Figures

Fig. 1.
Fig. 1.
Latent-change-score model of the mediation channel from obesity to longitudinal changes in physiological dysregulation through perceived weight discrimination. Physiological-dysregulation-index variables at baseline (Time 1) and follow-up (Time 2) were constrained to be equal by fixing the autoregressive path to unity. The latent-change-score factor loading was fixed to 1 to capture the residual variance in dysregulation at follow-up. The rate of change in dysregulation is denoted by µΔPhysiological Dysregulation and variance in change by σ2ΔPhysiological Dysregulation. Covariates are omitted from the path diagram.

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