Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/21031
Title: | Assessing the Relationship Between Depression and Obesity Using Structural Equation Modeling |
Authors: | Dragan, Alina |
Advisor: | Akhtar-Danesh, Noori |
Department: | Statistics |
Keywords: | depression, obesity, structural equation, modeling, mental health, gender, socioeconomic |
Publication Date: | Jun-2005 |
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> |
URI: | http://hdl.handle.net/11375/21031 |
Appears in Collections: | Digitized Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Dragan_Alina_2005Jun_Masters..pdf | 3.07 MB | Adobe PDF | View/Open |
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