Exploring the Possible Reduction of Obesity Stigmatization in Healthcare and Women’s Healthcare Avoidance
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Authors
Riches, Michelle Ann
Issue Date
2017
Type
Thesis
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Keywords
Attribution for Weight , Delay or Avoidance of Healthcare , Healthcare Avoidance , Obesity , Obesity Bias , Satisfaction with Medical Care
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Abstract
Background: The established obesity bias in medical care and perception of health by women in general is studied. Variables measured in this thesis study were body mass index, self-esteem, attribution for weight, satisfaction with medical care and delay/ avoidance of medical care. Previous research established obesity bias by Aramburu-Drury. This is a replication of her thesis from 1996.Methods: A 29-question study utilizing a convenience sampling of adult women returned 143 questionnaires. Several of the questionnaires were incompletely answered. SPSS, a statistics software, and correlations to previous research utilizing vassarstats.net for the Fisher R to Z Transformation were performed.Results: There is a relationship between body mass index and delay /avoidance of healthcare (r=.19, p= .74, n= 133). Low self-esteem was demonstrated in all participants, however, there is no relationship in obese women to delay/avoid healthcare (r= -.062, p= .722, n=35). There is a decrease in the correlation coefficients of the variables attribution of weight and delay/ avoidance of healthcare (r= -.192, p= .052, n= 103). There is a statistically significant (p=.0135) reduced correlation between satisfaction of medical care and delay/ avoidance of healthcare (r=-.153, p=.381, n=35). There is a significant difference (p= .0022) in the correlation coefficients of this study r= .137, p=.104, n=141, and the previous study, showing a positive relationship in the personal attribution for weight and satisfaction with medical care. Conclusion: This study suggests that while self-esteem for the general adult women population has decreased, it is not dependent upon the variables attribution for weight, body mass index or satisfaction with medical care. There is significance between attribution of weight and delay, as well as satisfaction with medical care and delay.
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In Copyright(All Rights Reserved)