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|Title:||Assessing the Relationship Between Depression and Obesity Using Structural Equation Modeling|
|Keywords:||depression, obesity, structural equation, modeling, mental health, gender, socioeconomic|
|Abstract:||<p> In this project we used structural equation modeling to analyze the data collected for the Canadian Community Health Survey (CCHS) Cycle 1.2 - Mental Health and Well-Being conducted by Statistics Canada. The data are cross-sectional.</p> <p> We looked at the relation between depression and obesity adjusting for gender, socioeconomic status, gene-environment interactions, eating and physical activity and stress.</p> <p> We used the AMOS and Mplus softwares to analyze our data. The first one used continuous variables for depression ("persistence of depression", in years) and obesity ("body mass index"-BMI), while the second used categorical variables: lifetime depression, 12 month depression and obesity (normal weight, overweight and obese). We also used two variables to measure different aspects of stress: self-perceived ability to handle an unexpected problem and work stress-social support.</p> <p> We fitted the models across the entire data, but also across different groups: males versus females and groups based on gender and BMI.</p> <p> The results indicated that the relationship between depression and obesity is different across gender.</p> <p> The limitations of the study are also discussed. </p>|
|Appears in Collections:||Digitized Open Access Dissertations and Theses|
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|Dragan_Alina_2005Jun_Masters..pdf||3.07 MB||Adobe PDF||View/Open|
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