Labour market trajectories following sickness absence due to self-reported all cause morbidity—a longitudinal study

Abstract

BackgroundTo investigate differences in return to work (RTW) and employment trajectories in individuals on sick leave for either mental health reasons or other health related reasons.MethodsThis study was based on 2036 new sickness absence cases who completed a questionnaire on social characteristics, expectations for RTW and reasons for sickness absence. They were divided into two exposure groups according to their self-reported sickness absence reason: mental health reasons or other health reasons. The outcome was employment status during the following 51 weeks and was measured both as time-to-event analysis and with sequence analysis.ResultsIndividuals with mental health reasons for sickness absence had a higher risk of not having returned to work (RR 0.87 (0.80;0.93)). Adjusting for gender, age, education and employment did not change the estimate, however, after adding RTW expectations to the model, the excess risk was no longer present (RR 1.01 (0.95;1.08)). In relation to the sequence analysis, individuals with mental health related absence had significantly higher odds of being in the sickness absence cluster and significantly lower odds for being in the fast RTW cluster, but when adjusting for RTW expectations, the odds were somewhat attenuated and no longer significant.ConclusionsEmployees on sick leave due to self-reported mental health problems spent more weeks in sickness absence and temporary benefits and had a higher risk of not having returned to work within a year compared to employees on sick leave due to other health reasons. The difference could be explained by their lower RTW expectations at baseline. This emphasises the need to develop suitable and specific interventions to facilitate RTW for this group of sickness absentees.

Young, successful, precarious? Precariousness at the entry stage of employment careers in Germany

“…Brzinsky-Fay (2007) was the first researcher who quantified labour market integration using volatility and integration measures (see previous chapter). Since their introduction, these measures of volatility and integration have been used in various studies to assess the integrative capability of transition sequences (Simonson, Gordo, and Titova 2011;Bussi 2016;Pedersen et al 2016). Simonson, Gordo, and Titova (2011) revealed an increase in diversification for German female baby boomers' employment careers (Simonson, Gordo, and Titova 2011, 73).…”

“…These two indicators capture people's labour market readiness (volatility) and rootedness in the labour market (integration) (Brzinsky-Fay 2007;Bussi 2016;Pedersen et al 2016). High degrees of volatility and Integration are linked, on the one hand, to advantages for employees; they allow them to avail of further education and training, to build professional networks, and to access firm-internal career ladders with improved job security and access to seniority entitlements.…”

“…Previous research does not provide consistent results: precariousness might be a general phenomenon that occurs in most entry-stage employment trajectories (Giddens 1990;Beck 1992) or a phenomenon specific to disadvantaged young adults' career patterns (Kurz, Steinhage, and Golsch 2005;Buchholz et al 2008;Schels 2013). Exacerbating this lack of clarity, articles that deal with young people's transitions into the labour market usually rely on measures of success in early employment trajectories that regard more or less every transition into continuous employment as a success (Brzinsky-Fay 2007;Elzinga and Liefbroer 2007;Robette 2010;Bussi 2016;Pedersen et al 2016). The present study aims to fill these deficits in understanding.…”

Identifying return-to-work trajectories using sequence analysis in a cohort of workers with work-related musculoskeletal disorders

“…in RTW trajectories between sick leave due to mental health reasons and due to other reasons (8). In 2017, Lindholdt et al used sequence analysis to assess labor market participation for patients sick-listed with lowback pain in Denmark (9).…”

Avaliação do absenteísmo por motivo de doença em funcionários técnico administrativos de uma universidade federal

“…O fato de a população estudada apresentar em média 36 anos, pode ter influenciado na baixa prevalência de doenças mais comuns em idosos como as neoplasias e doenças neurológicas degenerativas. Padrões epidemiológicos de absenteísmo atuais mostram um aumento das doenças de origem psicossociais em contraste a um decréscimo das doenças musculoesqueléticas, o que gera preocupação nas instituições públicas e privadas devido aos custos e ao deterioramento da saúde dos trabalhadores 5,25 .…”