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![A Longitudinal Analysis of Shiftwork and Self-reported Depression in a Police Cohort için kapak resmi A Longitudinal Analysis of Shiftwork and Self-reported Depression in a Police Cohort için kapak resmi](/client/assets/cf6e192b74af2810/ctx/images/no_image.png)
A Longitudinal Analysis of Shiftwork and Self-reported Depression in a Police Cohort
Başlık:
A Longitudinal Analysis of Shiftwork and Self-reported Depression in a Police Cohort
Yazar:
Holst, Meghan, author.
ISBN:
9780438113466
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (75 pages)
Genel Not:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Michael Wirth Committee members: James Burch; James Hussey.
Özet:
Background: Shiftwork is associated with many chronic diseases stemming from the disruption of circadian rhythms. Police officers have a high risk for many adverse conditions including depression. Abnormal bodily functions may play an important role in the development and severity of depression such as increased stress and disturbed sleeping patterns. This study was designed to assess the association between depressive symptoms and shiftwork in a police cohort from Buffalo, NY.
Methods: This longitudinal analysis consists of 470 police officers from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) study. Data was collected during visit 3 between 2004-2005 and visit 4 in 2010. Officers were classified as working the day, evening, or night shift based on the shift they spent the most of their work hours according to electronic payroll records. Other shift work variables included short-term shiftwork over the previous two weeks and number of shift changes. Two self-reported depression measures were used as the outcomes, the Center for Epidemiological Studies -- Depression (CES-D) scale and the Beck Depression Inventory (BDI). Generalized linear models were used to estimate least squares means and odds ratios from repeated data. Effect modification was assessed for the stress measures.
Results: Linear regression models did not produce significant results. In regard to logistic regression, those working the evening/night shift had higher odds for depressive symptoms according to the BDI than those working the day shift (OR = 4.60, 95% CI = 1.15-18.39). Those working the night shift had higher odds for depressive symptoms according to the BDI than those working the day shift (OR = 4.90, 95% CI = 1.20-19.57).
There were no significant results for short-term shiftwork or number of shift changes in relation to either depression measure. Crude analyses showed highest depressive symptoms in the evening shift for the linear and logistic models. Stratifying by the stress measures did not show significance, however mean values for depressive symptoms were higher in the high stress categories for Impact of Events (IES) and perceived stress score (PSS).
Discussion: In general, this study did not find significant associations between shiftwork and depressive symptoms. Crude analyses showed highest mean values in the evening shift compared to the day shift and night shift. After stratifying by the stress measures, mean values for the IES and PSS were higher in the high-stress categories. This may indicate that depressive symptoms are more influenced by stress than by shiftwork. Further research should include usage of biomarkers for depression, a longer study design, and assessment of total shiftwork history.
Notlar:
School code: 0202
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(690114.1) | 690114-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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