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dc.contributor.advisorLukic, Marko
dc.contributor.authorWaag, Natalie
dc.date.accessioned2023-01-30T13:11:29Z
dc.date.available2023-01-30T13:11:29Z
dc.date.issued2022-12-28
dc.description.abstract<p><i>Introduction -</i> Depressive disorders affect a significant part of the population, and its effects can be debilitating. Such disorders have a higher prevalence among women and previous studies have shown that there is a consistent association between SES and depression, and between SES and SSRI-use. The primary aim of this cross-sectional study was to investigate the association between SES and the use of SSRIs among adult Norwegian women recruited to the NOWAC-study. The association between SES and depression was also explored. SES refers specifically to education and gross household income. <p><i>Methods -</i> Data was provided from the second and third wave of the NOWAC-study with 62 388 participants after exclusion. Descriptive statistics were used to present the prevalence of SSRI-use and depression according to education, income and other health and lifestyle factors. Logistic regression analysis was used to calculate the odds ratios for SSRI-use and depression according to education and income. <p><i>Results -</i> Regarding descriptive statistics, 4.7% reported current use of SSRIs, while the prevalence of current and former depression was 15.5%. In the age-adjusted models the odds of using SSRIs were almost twice as large for the lowest education group (OR 1.95, 95% CI 1.72-2.21) compared to the highest education group (OR 1.15, 95% CI 1.02-1.29), while the odds of using SSRIs were 4.59 times higher for the lowest income group (95% CI 3.87-5.45) compared to the second highest income group (OR 1.15, 95% CI 1.02-1.29). The association between education and depression was considerably less apparent in both models compared to the association between education and SSRI-use. For income, the odds of having depression increased threefold for those in the lowest income group (OR 3.24, 95% CI 2.92-3.61) compared to those in the second highest income group (OR 1.16, CI 95% 1.06-1.27). <p><i>Conclusion -</i> There was a clear inverse social gradient in all outcomes. The association between income and SSRI-use and income and depression was prominent, while the association between education and SSRI-use and education and depression was less apparent.en_US
dc.identifier.urihttps://hdl.handle.net/10037/28429
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDHEL-3950
dc.subjectVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801en_US
dc.subjectVDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801en_US
dc.titleSSRI-use, depression, and socioeconomic status among Norwegian adult women – A cross-sectional study with data from the NOWAC-studyen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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