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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Fransson, Eleonor I; Nyberg, Solja T; Heikkilä, Katriina; Alfredsson, Lars; Bacquer, De Dirk; Batty, G David; Bonenfant, Sébastien; Casini, Annalisa; Clays, Els; Goldberg, Marcel; Kittel, France; Koskenvuo, Markku; Knutsson, Anders; Leineweber, Constanze; Magnusson Hanson, Linda L; Nordin, Maria; Singh-Manoux, Archana; Suominen, Sakari; Vahtera, Jussi; Westerholm, Peter; Westerlund, Hugo; Zins, Marie; Theorell, Töres; Kivimäki, Mika (2012)
Publisher: BioMed Central
Journal: BMC Public Health
Languages: English
Types: Article
Subjects: QUESTIONNAIRE, Research Article, Public Health, Global Health, Social Medicine and Epidemiology, RISK-FACTORS, BASE-LINE, 3142 Public health care science, environmental and occupational health, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, WHITEHALL-II, MEN, CORONARY-HEART-DISEASE, Cohort Studies, Europe, Humans, Internal-External Control, Occupational Exposure, Questionnaires, Stress, Psychological, Job strain, Sciences humaines, STRAIN, SWEDISH, STRESS, Job control, Agreement, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Arbetsmedicin och miljömedicin, Occupational Health and Environmental Health, RA1-1270, Public aspects of medicine, Work stress, Medicine and Health Sciences, Job demands, WOMEN

Abstract

Background

Job strain (i.e., high job demands combined with low job control) is a frequently used indicator of harmful work stress, but studies have often used partial versions of the complete multi-item job demands and control scales. Understanding whether the different instruments assess the same underlying concepts has crucial implications for the interpretation of findings across studies, harmonisation of multi-cohort data for pooled analyses, and design of future studies. As part of the 'IPD-Work' (Individual-participant-data meta-analysis in working populations) consortium, we compared different versions of the demands and control scales available in 17 European cohort studies.

Methods

Six of the 17 studies had information on the complete scales and 11 on partial scales. Here, we analyse individual level data from 70 751 participants of the studies which had complete scales (5 demand items, 6 job control items).

Results

We found high Pearson correlation coefficients between complete scales of job demands and control relative to scales with at least three items (r > 0.90) and for partial scales with two items only (r = 0.76-0.88). In comparison with scores from the complete scales, the agreement between job strain definitions was very good when only one item was missing in either the demands or the control scale (kappa > 0.80); good for job strain assessed with three demand items and all six control items (kappa > 0.68) and moderate to good when items were missing from both scales (kappa = 0.54-0.76). The sensitivity was > 0.80 when only one item was missing from either scale, decreasing when several items were missing in one or both job strain subscales.

Conclusions

Partial job demand and job control scales with at least half of the items of the complete scales, and job strain indices based on one complete and one partial scale, seemed to assess the same underlying concepts as the complete survey instruments.

  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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