The Study on Mental Health at Work: Design and sampling. Issue 6 (August 2017)
- Record Type:
- Journal Article
- Title:
- The Study on Mental Health at Work: Design and sampling. Issue 6 (August 2017)
- Main Title:
- The Study on Mental Health at Work: Design and sampling
- Authors:
- Rose, Uwe
Schiel, Stefan
Schröder, Helmut
Kleudgen, Martin
Tophoven, Silke
Rauch, Angela
Freude, Gabriele
Müller, Grit - Abstract:
- Aims: The Study on Mental Health at Work (S-MGA) generates the first nationwide representative survey enabling the exploration of the relationship between working conditions, mental health and functioning. This paper describes the study design, sampling procedures and data collection, and presents a summary of the sample characteristics. Methods: S-MGA is a representative study of German employees aged 31–60 years subject to social security contributions. The sample was drawn from the employment register based on a two-stage cluster sampling procedure. Firstly, 206 municipalities were randomly selected from a pool of 12, 227 municipalities in Germany. Secondly, 13, 590 addresses were drawn from the selected municipalities for the purpose of conducting 4500 face-to-face interviews. The questionnaire covers psychosocial working and employment conditions, measures of mental health, work ability and functioning. Data from personal interviews were combined with employment histories from register data. Descriptive statistics of socio-demographic characteristics and logistic regressions analyses were used for comparing population, gross sample and respondents. Results: In total, 4511 face-to-face interviews were conducted. A test for sampling bias revealed that individuals in older cohorts participated more often, while individuals with an unknown educational level, residing in major cities or with a non-German ethnic background were slightly underrepresented. Conclusions: There isAims: The Study on Mental Health at Work (S-MGA) generates the first nationwide representative survey enabling the exploration of the relationship between working conditions, mental health and functioning. This paper describes the study design, sampling procedures and data collection, and presents a summary of the sample characteristics. Methods: S-MGA is a representative study of German employees aged 31–60 years subject to social security contributions. The sample was drawn from the employment register based on a two-stage cluster sampling procedure. Firstly, 206 municipalities were randomly selected from a pool of 12, 227 municipalities in Germany. Secondly, 13, 590 addresses were drawn from the selected municipalities for the purpose of conducting 4500 face-to-face interviews. The questionnaire covers psychosocial working and employment conditions, measures of mental health, work ability and functioning. Data from personal interviews were combined with employment histories from register data. Descriptive statistics of socio-demographic characteristics and logistic regressions analyses were used for comparing population, gross sample and respondents. Results: In total, 4511 face-to-face interviews were conducted. A test for sampling bias revealed that individuals in older cohorts participated more often, while individuals with an unknown educational level, residing in major cities or with a non-German ethnic background were slightly underrepresented. Conclusions: There is no indication of major deviations in characteristics between the basic population and the sample of respondents. Hence, S-MGA provides representative data for research on work and health, designed as a cohort study with plans to rerun the survey 5 years after the first assessment. … (more)
- Is Part Of:
- Scandinavian journal of public health. Volume 45:Issue 6(2017:Aug.)
- Journal:
- Scandinavian journal of public health
- Issue:
- Volume 45:Issue 6(2017:Aug.)
- Issue Display:
- Volume 45, Issue 6 (2017)
- Year:
- 2017
- Volume:
- 45
- Issue:
- 6
- Issue Sort Value:
- 2017-0045-0006-0000
- Page Start:
- 584
- Page End:
- 594
- Publication Date:
- 2017-08
- Subjects:
- Well-being -- burnout -- depressive symptoms -- functioning -- employment -- psychosocial working conditions -- work ability
Public health -- Periodicals
Social medicine -- Periodicals
614 - Journal URLs:
- http://sjp.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1403494817707123 ↗
- Languages:
- English
- ISSNs:
- 1403-4948
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8087.525000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8628.xml