sj-docx-1-inq-10.1177_00469580221142477 – Supplemental material for Functioning Changes in Varying Ways After Retirement: A Scoping Review

Supplemental material, sj-docx-1-inq-10.1177_00469580221142477 for Functioning Changes in Varying Ways After Retirement: A Scoping Review by Pauliina Saha, Jatta Salmela, Tea Lallukka and Anna Liisa Aho in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p

Model fit information from Mplus of various models of trajectories of sickness absence days per quarter (2012–2014) considering data from women of working age, living in Spain, and born in 1949–1969.

Model fit information from Mplus of various models of trajectories of sickness absence days per quarter (2012–2014) considering data from women of working age, living in Spain, and born in 1949–1969.</p

Distribution of individuals in the four trajectories according to three labour characteristics (type of contract, occupational category, and working time).

In the left side results from the Mplus. In the right side, results from SAS.</p

Fig 2 -

Graphical representation of the trajectories considering the number of accumulated days in sickness absence (Y-axis) per quarter (2012–2014) (X-axis*) among women from the cohort (1949–1969) using MPlus (left) and SAS (right) statistical software. * Note that the X-axis is differently named due to different software. Thus the graph produced using Mplus is labelled Q1-Q4 for each quarter of 2012, 2013, and 2014, respectively, whereas the graph using SAS is labelled with each respective time point being numbered from 1–12.</p

Spaghetti plots over days in sickness absence per trimester (2012–2014) by trajectory group according to group-based trajectory modelling, among a representative sample of women born in 1949–1969, registered with the social security system, and living in Catalonia, Spain.

Spaghetti plots over days in sickness absence per trimester (2012–2014) by trajectory group according to group-based trajectory modelling, among a representative sample of women born in 1949–1969, registered with the social security system, and living in Catalonia, Spain.</p

Model fit information from SAS¹ of various models of trajectories of sickness absence days per quarter (2012–2014) considering data from women of working age, living in Spain, and born in 1949–1969.

Model fit information from SAS1 of various models of trajectories of sickness absence days per quarter (2012–2014) considering data from women of working age, living in Spain, and born in 1949–1969.</p

Cumulative incidence (%) of disability retirement in the random population sample.

<p>Cumulative incidence (%) of disability retirement in the random population sample.</p

Health Problems during Compulsory Military Service Predict Disability Retirement: A Register-Based Study on Secular Trends during 40 Years of Follow-Up - Fig 2

<p><b>Cumulative survival curves for the incidence of a) all-cause disability retirement and b) disability retirement due to mental disorders, for visits due to musculoskeletal and mental problems.</b> HR = hazard ratio, adjusted for year of service.</p

sj-docx-1-sjp-10.1177_14034948211045458 – Supplemental material for Working conditions and mental health functioning among young public sector employees

Supplemental material, sj-docx-1-sjp-10.1177_14034948211045458 for Working conditions and mental health functioning among young public sector employees by Jaakko Harkko, Hertta Ranta, Tea Lallukka, Hilla Nordquist, Minna Mänty and Anne Kouvonen in Scandinavian Journal of Public Health</p

Seeking care (visits per service months) during military service and disability retirement by the service time strata.

<p>Seeking care (visits per service months) during military service and disability retirement by the service time strata.</p