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Inherited or Behavior? What Causal Beliefs about Obesity Are Associated with Weight Perceptions and Decisions to Lose Weight in a US Sample?

Objectives. To identify the extent to which (1) beliefs about obesity and obesity-related behaviors distinguish individuals based on weight perception (WP) and (2) beliefs about obesity predict perceived health status and WP and how these in turn predict decisions to try to lose weight. Method. 7456...

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Detalles Bibliográficos
Autores principales: Fleary, Sasha A., Ettienne, Reynolette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897138/
https://www.ncbi.nlm.nih.gov/pubmed/27419204
http://dx.doi.org/10.1155/2014/632940
Descripción
Sumario:Objectives. To identify the extent to which (1) beliefs about obesity and obesity-related behaviors distinguish individuals based on weight perception (WP) and (2) beliefs about obesity predict perceived health status and WP and how these in turn predict decisions to try to lose weight. Method. 7456 noninstitutionalized US adults (M(age) = 54.13, SD(age) = 16.93; 61.2% female; 75.9% White) completed the 2007 Health Information National Trends Survey. Multinomial logistic regressions and structural equation modeling were used to accomplish study objectives. Results. Age, gender, information-seeking, health status, belief that obesity is inherited, and knowledge of fruits and vegetables recommendations distinguished participants based on WP. Beliefs about obesity predicted health status, WP, and trying to lose weight in the general model. The models varied based on gender, race/ethnicity, education, and weight misperception. Conclusion. This study supports the role of beliefs about obesity, WP, and health perceptions in individuals' decisions and actions regarding weight management. This study increases our understanding of gender, race/ethnicity, education, and weight misperceptions differences in decisions to lose weight. This knowledge may lead to targeted interventions, rather than “one size fits all” interventions, to promote health and prevent obesity.