|Title||Perceived weight discrimination mediates the prospective relation between obesity and depressive symptoms in U.S. and U.K. adults.|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Robinson, E, Sutin, AR, Daly, M|
|Date Published||2017 Feb|
|Keywords||Adult, Aged, Body Weight, depression, Female, Humans, Longitudinal Studies, Male, Middle Aged, Obesity, Prejudice, Prospective Studies, United Kingdom, United States, Young Adult|
OBJECTIVE: Obesity has been shown to increase risk of depression. Persons with obesity experience discrimination because of their body weight. Across 3 studies, we tested for the first time whether experiencing (perceived) weight-based discrimination explains why obesity is prospectively associated with increases in depressive symptoms.
METHOD: Data from 3 studies, including the English Longitudinal Study of Ageing (2008/2009-2012/2013), the Health and Retirement Study (2006/2008-2010/2012), and Midlife in the United States (1995/1996-2004/2005), were used to examine associations between obesity, perceived weight discrimination, and depressive symptoms among 20,286 U.S. and U.K. adults.
RESULTS: Across all 3 studies, Class II and III obesity were reliably associated with increases in depressive symptoms from baseline to follow-up. Perceived weight-based discrimination predicted increases in depressive symptoms over time and mediated the prospective association between obesity and depressive symptoms in all 3 studies. Persons with Class II and III obesity were more likely to report experiencing weight-based discrimination, and this explained approximately 31% of the obesity-related increase in depressive symptoms on average across the 3 studies.
CONCLUSION: In U.S. and U.K. samples, the prospective association between obesity (defined using body mass index) and increases in depressive symptoms in adulthood may in part be explained by perceived weight discrimination. (PsycINFO Database Record
|User Guide Notes|
|Alternate Journal||Health Psychol|
|PubMed Central ID||PMC5267562|
|Grant List||MR/N000218/1 / MRC_ / Medical Research Council / United Kingdom |
P01 AG020166 / AG / NIA NIH HHS / United States
U19 AG051426 / AG / NIA NIH HHS / United States