Literature DB >> 15516827

Do age, gender and marital status influence job strain development for general practitioner?

Giedrius Vanagas1, Susanna Bihari-Axelsson, Vitalija Vanagiene.   

Abstract

BACKGROUND: General practice is one of the most stressful workplaces among health care workers and is characterized by higher rates of job strain than in reference population. We need to take into account that respondents are influenced by quite similar working conditions and health status differently. Thus this article aimed to review the subjective processes, which make general practitioners more vulnerable to the job strain.
METHODS: Computerized database Medline was searched. Search included data for 1983-2003. In this review data form many comparative cross-sectional studies found in this database were included. A data collection form was developed, prepared and filled up on reading each article.
RESULTS: Collected studies highlighted that age, gender and marital status influence job strain development for general practitioner but were very controversial on how and whom they influence. We found that outcomes of job strain have higher impact for females than for males. We also found data that males have also high rates of job strain working in general practice. The age impact on job strain between females and males increases in older age groups. The rate of job strain is the highest among middle-aged general practitioners and depends on marital status. Married females have the worst health and are most vulnerable to job strain.
CONCLUSIONS: Magnitude of job strain varies depending on age, gender and marital status of general practitioner. The highest rates of job strain are mostly observed in married females, younger or older general practitioners. Sociodemographic factors contribute to this. The development of job strain, in some extent, can be explained within social context.

Mesh:

Year:  2004        PMID: 15516827

Source DB:  PubMed          Journal:  Medicina (Kaunas)        ISSN: 1010-660X            Impact factor:   2.430


  5 in total

1.  The factors associated to psychosocial stress among general practitioners in Lithuania. Cross-sectional study.

Authors:  Giedrius Vanagas; Susanna Bihari-Axelsson
Journal:  BMC Health Serv Res       Date:  2005-06-10       Impact factor: 2.655

2.  Interaction among general practitioners age and patient load in the prediction of job strain, decision latitude and perception of job demands. A cross-sectional study.

Authors:  Giedrius Vanagas; Susanna Bihari-Axelsson
Journal:  BMC Public Health       Date:  2004-12-07       Impact factor: 3.295

3.  Working conditions, self-perceived stress, anxiety, depression and quality of life: a structural equation modelling approach.

Authors:  Bin Nordin Rusli; Bin Abdin Edimansyah; Lin Naing
Journal:  BMC Public Health       Date:  2008-02-06       Impact factor: 3.295

4.  Developing Stress Management Programs in a Public Primary Healthcare Institution: Should We Consider Health Workers' Sociodemographic Groups?

Authors:  Daiva Dudutienė; Audronė Juodaitė-Račkauskienė; Rimantas Stukas
Journal:  Medicina (Kaunas)       Date:  2020-04-03       Impact factor: 2.430

5.  Priorities in effective management of primary health care institutions in Lithuania: Perspectives of managers of public and private primary health care institutions.

Authors:  Aida Budrevičiūtė; Ramunė Kalėdienė; Jadvyga Petrauskienė
Journal:  PLoS One       Date:  2018-12-31       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.