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Predictors of Clinically Significant Depression Symptoms as Determined by PHQ-9

Conway, Alex (2021) Predictors of Clinically Significant Depression Symptoms as Determined by PHQ-9. Master's Thesis, University of Pittsburgh. (Unpublished)

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Background: Depression is a debilitating and potentially life-threatening mental illness that is very common. Thus, finding predictors of depression is of paramount importance. This study examined household size, high sensitivity C-reactive protein, and select dietary nutrients for possible links to depression.
Methods: Data from the 2017-2018 cycle of the National Health and Nutrition Examination Survey (NHANES) was used. Depression was determined based on a PHQ-9 score of 10 or above. Of the 9,254 participants in the overall survey, 4,692 were included in this study. The survey package was used in R to account for the study design and sample weights. Household size 7+ was combined with household size 6 due to low cell size.
Results: No nutrients were included in the final model due to lack of significance at the univariate level. HSCRP had a p-value of 0.022 in a univariate model and p-value of 0.053 in the final model. Household size had an overall p-value of less than 0.001 in the final model, and household sizes of 4 and 5 had p-values below 0.05.
Conclusion: HSCRP was not statistically significant in the final model, and the difference in the p-value between the univariate model and the final model is most likely explained by the inclusion of BMI in the final model. Household size was found to have an overall statistically significant effect in the final model, with household sizes 4 and 5 in particular having lower odds of depression than a single-person household. Therefore, it may be worthwhile to inform young adults that people who live with 3 or 4 other people are less likely to be depressed.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Conway, Alexalc285@pitt.edualc285
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorBuchanich,
Committee MemberYouk,
Committee MemberSmagula,
Date: 19 January 2021
Date Type: Publication
Defense Date: 2 December 2020
Approval Date: 19 January 2021
Submission Date: 10 December 2020
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 26
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Biostatistics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Analysis of depression with several predictors
Date Deposited: 19 Jan 2021 19:42
Last Modified: 19 Jan 2021 19:42

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  • Predictors of Clinically Significant Depression Symptoms as Determined by PHQ-9. (deposited 19 Jan 2021 19:42) [Currently Displayed]


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