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http://hdl.handle.net/11375/21031
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DC Field | Value | Language |
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dc.contributor.advisor | Akhtar-Danesh, Noori | - |
dc.contributor.author | Dragan, Alina | - |
dc.date.accessioned | 2017-02-02T19:44:22Z | - |
dc.date.available | 2017-02-02T19:44:22Z | - |
dc.date.issued | 2005-06 | - |
dc.identifier.uri | http://hdl.handle.net/11375/21031 | - |
dc.description.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> | en_US |
dc.language.iso | en_US | en_US |
dc.subject | depression, obesity, structural equation, modeling, mental health, gender, socioeconomic | en_US |
dc.title | Assessing the Relationship Between Depression and Obesity Using Structural Equation Modeling | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Statistics | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
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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