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1.
BMC Public Health ; 17(1): 544, 2017 06 05.
Article in English | MEDLINE | ID: mdl-28583093

ABSTRACT

BACKGROUND: The prevalence of workers with demanding physical working conditions in the European work force remains high, and occupational physical exposures are considered important risk factors for musculoskeletal disorders (MSD), a major burden for both workers and society. Exposures to physical workloads are therefore part of the European nationwide surveys to monitor working conditions and health. An interesting question is to what extent the same domains, dimensions and items referring to the physical workloads are covered in the surveys. The purpose of this paper is to determine 1) which domains and dimensions of the physical workloads are monitored in surveys at the national level and the EU level and 2) the degree of European consensus among these surveys regarding coverage of individual domains and dimensions. METHOD: Items on physical workloads used in one European wide/Spanish and five other European nationwide work environment surveys were classified into the domains and dimensions they cover, using a taxonomy agreed upon among all participating partners. RESULTS: The taxonomy reveals that there is a modest overlap between the domains covered in the surveys, but when considering dimensions, the results indicate a lower agreement. The phrasing of items and answering categories differs between the surveys. Among the domains, the three domains covered by all surveys are "lifting, holding & carrying of loads/pushing & pulling of loads", "awkward body postures" and "vibrations". The three domains covered less well, that is only by three surveys or less, are "physical work effort", "working sitting", and "mixed exposure". CONCLUSIONS: This is the first thorough overview to evaluate the coverage of domains and dimensions of self-reported physical workloads in a selection of European nationwide surveys. We hope the overview will provide input to the revisions and updates of the individual countries' surveys in order to enhance coverage of relevant domains and dimensions in all surveys and to increase the informational value of the surveys.


Subject(s)
Musculoskeletal Diseases/epidemiology , Occupational Diseases/epidemiology , Occupational Exposure/adverse effects , Workload/statistics & numerical data , Workplace/statistics & numerical data , Adult , Europe , Female , Humans , Male , Middle Aged , Risk Factors , Self Report , Surveys and Questionnaires
2.
BMC Public Health ; 16: 235, 2016 Mar 08.
Article in English | MEDLINE | ID: mdl-26957129

ABSTRACT

BACKGROUND: Doctor -certified sick leave is prevalent in the health and social sector. We examined whether the higher risk of doctor-certified sick leave in women in health and social occupations compared to women in other occupations was explained by particular work-related psychosocial and mechanical risk factors. METHODS: A randomly drawn cohort aged 18-69 years from the general population in Norway was surveyed in 2009 (n = 12,255, response at baseline = 60.9 %), and was followed up in the national registry of social transfer payments in 2010. Eligible respondents were women registered with an active employee relationship for ≥100 actual working days in 2009 and 2010 (n = 3032). Using this sample, we compared health and social workers (n = 661) with the general working population (n = 2371). The outcome of interest was long-term sick leave (LTSL) ≥21 working days during 2010. Eight psychosocial and eight mechanical factors were evaluated. RESULTS: After adjusting for age, previous LTSL, education and working hours/week, women in health and social occupations had a higher risk for LTSL compared with women in the general working population (OR = 1.42, 95 % CI = 1.13-1.79; p = 0.003). After adjusting for psychosocial and mechanical factors, 70 % of the excess risk for LTSL was explained compared with the initial model. The main contributory factors to the increased risk were threats of violence and violence, emotional demands and awkward lifting. CONCLUSIONS: Psychosocial and mechanical factors explained much of the excess risk for LTSL in women in health and social occupations compared with working women in general. Psychosocial risk factors were the most important contributors.


Subject(s)
Occupations/statistics & numerical data , Practice Patterns, Physicians'/statistics & numerical data , Sick Leave/statistics & numerical data , Women, Working/statistics & numerical data , Adolescent , Adult , Aged , Female , Health Personnel/statistics & numerical data , Humans , Middle Aged , Norway , Prospective Studies , Registries , Risk Factors , Social Work/statistics & numerical data , Surveys and Questionnaires , Young Adult
3.
BMC Public Health ; 14: 1251, 2014 Dec 09.
Article in English | MEDLINE | ID: mdl-25488251

ABSTRACT

BACKGROUND: In most countries in the EU, national surveys are used to monitor working conditions and health. Since the development processes behind the various surveys are not necessarily theoretical, but certainly practical and political, the extent of similarity among the dimensions covered in these surveys has been unclear. Another interesting question is whether prominent models from scientific research on work and health are present in the surveys--bearing in mind that the primary focus of these surveys is on monitoring status and trends, not on mapping scientific models. Moreover, it is relevant to know which other scales and concepts not stemming from these models have been included in the surveys. The purpose of this paper is to determine (1) the similarity of dimensions covered in the surveys included and (2) the congruence of dimensions of scientific research and of dimensions present in the monitoring systems. METHOD: Items from surveys representing six European countries and one European wide survey were classified into the dimensions they cover, using a taxonomy agreed upon among all involved partners from the six countries. RESULTS: The classification reveals that there is a large overlap of dimensions, albeit not in the formulation of items, covered in the seven surveys. Among the available items, the two prominent work-stress-models--job-demand-control-support-model (DCS) and effort-reward-imbalance-model (ERI)--are covered in most surveys even though this has not been the primary aim in the compilation of these surveys. In addition, a large variety of items included in the surveillance systems are not part of these models and are--at least partly--used in nearly all surveys. These additional items reflect concepts such as "restructuring", "meaning of work", "emotional demands" and "offensive behaviour/violence & harassment". CONCLUSIONS: The overlap of the dimensions being covered in the various questionnaires indicates that the interests of the parties deciding on the questionnaires in the different countries overlap. The large number of dimensions measured in the questionnaires and not being part of the DCS and ERI models is striking. These "new" dimensions could inspire the research community to further investigate their possible health and labour market effects.


Subject(s)
Surveys and Questionnaires/standards , Workplace/psychology , Europe/epidemiology , Humans , Models, Theoretical , Population Surveillance/methods , Stress, Psychological/epidemiology
4.
BMC Public Health ; 14: 1016, 2014 Sep 29.
Article in English | MEDLINE | ID: mdl-25266630

ABSTRACT

BACKGROUND: Doctor-certified sick leave differs substantially across sectors, and among health and social workers, in particular, there is an increased risk. Previous studies have shown that work environmental factors contribute to sick leave. Hence, the identification of specific organizational and psychosocial risk factors for long- term sick leave, taking into account potential confounding related to mechanical risk factors such as lifting and awkward body postures, will be of importance in the work of prevention. METHODS: A randomly drawn population sample of Norwegian residents was interviewed about working conditions in 2009 (n = 12,255; response rate 60.9%). Female health and social care workers (n = 925) were followed in a national registry for subsequent sickness absence during 2010. The outcome of interest was doctor-certified sick leave of 21 days or more (long-term sick leave). Eleven work-related psychosocial and organizational factors were evaluated. RESULTS: In total, 186 persons (20.1%) were classified with subsequent long-term sick leave. After thoroughly adjusting for competing explanatory variables, the most consistent predictors for long-term sick leave were violence and threats of violence (OR = 1.67; 95% CI 1.14-2.45). The estimated population attributable risk for violence and threats of violence was 13%. CONCLUSIONS: The present study among female health and social care workers revealed a substantial relationship between self-reported violence and threats of violence and subsequent long- term sick leave.


Subject(s)
Health Personnel/statistics & numerical data , Sick Leave/statistics & numerical data , Social Work/statistics & numerical data , Workplace/psychology , Workplace/statistics & numerical data , Adult , Age Factors , Environment , Female , Humans , Male , Middle Aged , Norway/epidemiology , Prospective Studies , Risk Factors , Sex Factors , Time Factors
5.
J Occup Environ Med ; 56(8): 787-93, 2014 Aug.
Article in English | MEDLINE | ID: mdl-25099403

ABSTRACT

OBJECTIVE: To examine the effect of work-related psychosocial exposures on long-term sick leave (LTSL) in the general working population. METHODS: A prospective study of the general working population in Norway. Eligible respondents were interviewed in 2009 and registered with at least 100 working days in 2009 and 2010 (n = 6758). The outcome was medically confirmed LTSL of 40 days or more during 2010. RESULTS: In the fully adjusted model, high exposure to role conflict (odds ratio [OR], 1.58; 95% confidence interval [CI], 1.20 to 2.09), emotional demands (OR, 1.32; 95% CI, 1.03 to 1.69), and low supportive leadership (OR = 1.50; 95% CI, 1.15 to 1.96) predicted LTSL. A test for trend was statistically significant for all factors (P ≤ 0.05). We estimated that 15% of LTSL cases were attributable to these factors. CONCLUSIONS: This study underlines the importance of taking into account psychosocial exposures as risk factors for LTSL.


Subject(s)
Occupational Health , Sick Leave/statistics & numerical data , Stress, Psychological/epidemiology , Adolescent , Adult , Aged , Female , Humans , Logistic Models , Male , Middle Aged , Norway/epidemiology , Prospective Studies , Risk Factors , Young Adult
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