Chronic diseases as predictors of labour market attachment after participation in subsidised re-employment programme: a 6-year follow-up study
| dc.contributor.author | Nwaru C. | |
| dc.contributor.author | Peutere L. | |
| dc.contributor.author | Kivimäki M. | |
| dc.contributor.author | Pentti J. | |
| dc.contributor.author | Vahtera J. | |
| dc.contributor.author | Virtanen P. | |
| dc.contributor.organization | fi=kansanterveystiede|en=Public Health| | |
| dc.contributor.organization | fi=tyks, vsshp|en=tyks, varha| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.94792640685 | |
| dc.converis.publication-id | 27313007 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/27313007 | |
| dc.date.accessioned | 2022-10-28T13:05:49Z | |
| dc.date.available | 2022-10-28T13:05:49Z | |
| dc.description.abstract | <p>Background: Little is known about the work patterns of re-employed people. We investigated the labour market attachment trajectories of re-employed people and assessed the influence of chronic diseases on these trajectories.</p><p>Methods: The study was based on register data of 18 944 people (aged 18–60 years) who participated in a subsidised re-employment programme in Finland. Latent class growth analysis with zero-inflated Poisson was used to model the labour market attachment trajectories over a 6-year follow-up time. Multinomial logistic regression was used to examine the associations between chronic diseases and labour market attachment trajectories, adjusting for age, gender, educational level, size of town and calendar year in subsidised re-employment programme.</p><p>Results: We identified four distinct labour market attachment trajectories, namely: strengthening (a relatively stable attachment throughout the follow-up time; 77%), delayed (initial weak attachment increasing later; 6%), leavers (attachment declined with time; 10%) and none-attached (weak attachment throughout the study period; 7%). We found that severe mental problems strongly increased the likelihood of belonging in the leavers (OR 3.61; 95% CI 2.23 to 5.37) and none-attached (OR 3.41; 95% CI 1.91 to 6.10) trajectories, while chronic hypertension was associated with none-attached (OR 1.37; 95% CI 1.06 to 1.77) trajectory. The associations between other chronic diseases (diabetes, heart disease, asthma and arthritics) and labour market attachment trajectories were less evident.</p><p>Conclusion:s Re-employed people appear to follow distinct labour market attachment trajectories over time. Having chronic diseases, especially mental disorders appear to increase the risk for relatively poor labour market attachment.<br /></p> | |
| dc.format.pagerange | 1101 | |
| dc.format.pagerange | 1106 | |
| dc.identifier.eissn | 1470-2738 | |
| dc.identifier.jour-issn | 0143-005X | |
| dc.identifier.olddbid | 179670 | |
| dc.identifier.oldhandle | 10024/162764 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/37368 | |
| dc.identifier.urn | URN:NBN:fi-fe2021042717400 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Vahtera, Jussi | |
| dc.okm.affiliatedauthor | Dataimport, tyks, vsshp | |
| dc.okm.discipline | 3142 Public health care science, environmental and occupational health | en_GB |
| dc.okm.discipline | 3142 Kansanterveystiede, ympäristö ja työterveys | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | BMJ Publishing Group | |
| dc.publisher.country | United Kingdom | en_GB |
| dc.publisher.country | Britannia | fi_FI |
| dc.publisher.country-code | GB | |
| dc.relation.doi | 10.1136/jech-2017-209271 | |
| dc.relation.ispartofjournal | Journal of Epidemiology and Community Health | |
| dc.relation.issue | 11 | |
| dc.relation.volume | 71 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/162764 | |
| dc.title | Chronic diseases as predictors of labour market attachment after participation in subsidised re-employment programme: a 6-year follow-up study | |
| dc.year.issued | 2017 |
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