Literature DB >> 24729300

Psychosocial and organizational work environment of nurse managers and self-reported depressive symptoms: cross-sectional analysis from a cohort of nurse managers.

Nathalie Nourry1, Amandine Luc, François Lefebvre, Hélène Sultan-Taïeb, Sophie Béjean.   

Abstract

OBJECTIVES: The association between depressive symptoms and psycho-organisational work environment has been established in the literature. Some studies have evaluated depressive symptoms in healthcare workers, but little research has been carried out among nurse managers. The aim of the study is to evaluate the depressive symptoms prevalence among nurse managers' population and work environment factors.
MATERIAL AND METHODS: A descriptive correlational research design was used. Data were collected from 296 nurse managers in five hospitals in the eastern area of France between 2007 and 2008. Health outcomes were evaluated by measuring depressive symptoms (CES-D scale), the exposure data by assessing psycho-organisational work environment with effort-reward imbalance-model of Siegrist. Multiple logistic regressions were used to describe the strength of the association between depressive symptoms and effort-reward imbalance adjusted for personal and occupational characteristics of the nurse managers.
RESULTS: Among the nurse managers, a third had depressive symptoms, and 18% presented an effort-reward imbalance (ratio: ≥ 1). A significant association was found between depressive symptoms and effort-reward imbalance (OR = 10.81, 95% CI: 5.1-23, p < 10(-3)), and with esteem as a reward (OR = 3.21, 95% CI: 1.6-6.3, p < 10(-2)).
CONCLUSION: In view of the hierarchical situation of nurse managers and their primary roles in hospitals, it is necessary to take prevention measures to improve their work environment and health.

Entities:  

Mesh:

Year:  2014        PMID: 24729300     DOI: 10.2478/s13382-014-0264-x

Source DB:  PubMed          Journal:  Int J Occup Med Environ Health        ISSN: 1232-1087            Impact factor:   1.843


  7 in total

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Authors:  Norio Watanabe; Toshi A Furukawa; Masaru Horikoshi; Fujika Katsuki; Tomomi Narisawa; Mie Kumachi; Yuki Oe; Issei Shinmei; Hiroko Noguchi; Kei Hamazaki; Yutaka Matsuoka
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2.  The association between occupational stress and depressive symptoms and the mediating role of psychological capital among Chinese university teachers: a cross-sectional study.

Authors:  Xue Shen; Yi-Long Yang; Yang Wang; Li Liu; Shu Wang; Lie Wang
Journal:  BMC Psychiatry       Date:  2014-11-30       Impact factor: 3.630

3.  Prevalence of depressive symptoms and work-related risk factors among nurses in public hospitals in southern China: a cross-sectional study.

Authors:  Yanhong Gong; Tieguang Han; Xiaoxv Yin; Guoan Yang; Runsen Zhuang; Yuqi Chen; Zuxun Lu
Journal:  Sci Rep       Date:  2014-11-27       Impact factor: 4.379

Review 4.  Depression among Iranian nurses: A systematic review and meta-analysis.

Authors:  Sahar Sadat Saeedi Shahri; Ahmad Ghashghaee; Masoud Behzadifar; Nicola Luigi Bragazzi; Meysam Behzadifar; Nasrin Mousavinejad; Mozhgan Sadat Ghaemmohamadi; Faezeh Ebadi; Hesam Seyedin
Journal:  Med J Islam Repub Iran       Date:  2017-12-25

5.  Depressive symptoms and workplace-violence-related risk factors among otorhinolaryngology nurses and physicians in Northern China: a cross-sectional study.

Authors:  Huiying Fang; Xiaowen Zhao; Haicheng Yang; Peihang Sun; Ying Li; Kexin Jiang; Peng Li; Mingli Jiao; Ming Liu; Hong Qiao; Qunhong Wu
Journal:  BMJ Open       Date:  2018-01-27       Impact factor: 2.692

6.  The effect of night shift on sleep quality and depressive symptoms among Chinese nurses.

Authors:  Caijun Dai; Huihua Qiu; Qiqi Huang; Pinglang Hu; Xianchai Hong; Junwei Tu; Qiangli Xie; Haiyan Li; Wenwei Ren; Shuhong Ni; Fujian Chen
Journal:  Neuropsychiatr Dis Treat       Date:  2019-02-07       Impact factor: 2.570

7.  Prevalence and Risk Factors of Depression, Anxiety, and Stress in a Cohort of Australian Nurses.

Authors:  Shamona Maharaj; Ty Lees; Sara Lal
Journal:  Int J Environ Res Public Health       Date:  2018-12-27       Impact factor: 3.390

  7 in total

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