Evidence map›Paper›PMID 29627810›Full record

ArticleBMJ open2018

Cause-specific sickness absence trends by occupational class and industrial sector in the context of recent labour market changes: a Finnish panel data study.

Taina Leinonen, Eira Viikari-Juntura, Kirsti Husgafvel-Pursiainen, Svetlana Solovieva

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In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Taina LeinonenFinnish Institute of Occupational Health, Helsinki, Finland.
Eira Viikari-JunturaFinnish Institute of Occupational Health, Helsinki, Finland.
Kirsti Husgafvel-PursiainenFinnish Institute of Occupational Health, Helsinki, Finland.
Svetlana SolovievaFinnish Institute of Occupational Health, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to provide previously unestablished information on population-based differences in cause-specific sickness absence trends between occupational classes and further between four large industrial sectors within the different occupational classes while controlling for other socioeconomic factors and employment patterns. We focused on the period 2005-2013, during which the labour market underwent large economic and structural changes in many countries.

designRegister-based panel data study.

settingLarge representative datasets on Finnish wage earners aged 25-59 years. OUTCOME MEASURE: Annual risk of sickness absence (>10 working days) based on repeated logistic regression.

resultsBetween 2005 and 2013, the proportion of employees with sickness absence decreased. Occupational class differences in sickness absence trends varied by disease group. Overall, the decrease in absences was smallest among lower non-manual employees. Sickness absence levels were highest in the health and social work sector and in the manufacturing sector within the non-manual and manual classes, respectively. Absences due to musculoskeletal diseases decreased temporarily during the peak of the economic recession in 2009, particularly in the manufacturing sector within the manual class. The decrease in absences due to musculoskeletal diseases was smallest in the trade sector within the lower occupational classes. Overall, education, income and employment patterns partly explained the differences in the absence levels, but not in the trends.

conclusionsWe found a complex interplay between the associations of occupational class and industrial sector with sickness absence trends. During the economic recession, absences due to musculoskeletal diseases decreased temporarily in a segment of wage earners who were known to have been hit hard by the recession. However, the trend differences were not explained by the measured structural changes in the characteristics of the study population. Both occupational class and industrial sector should be taken into account when tackling problems of work disability.

Indexed as

AbsenteeismOccupationsSick LeaveAdultChild, PreschoolFinlandHumansIndustryMiddle AgedSocial Classdiagnosiseconomic recessionemploymentsick leavesocioeconomic statusstructural change

Identifiers

PMID29627810
PMCPMC5892784

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.