| 1-Sanatkar et al. (2025)14
|
Health consequences of graded, full, and no sick leave among workers with musculoskeletal disorders: health profiles and six-month symptom changes in patients referred to Norwegian outpatient clinics for chronic neck and back pain |
Norway |
To examine the characteristics and progression of pain-related disability and quality of life in working-age adults with neck and back pain |
Retrospective cohort—Norwegian workers; Repeated measures analysis; Population: 5,143 individuals Percentage of sick leave: Cervical and lumbar pain: 45.27% |
Comparison between groups: workers without pain; workers on partial leave (continued working and receiving treatment); full leave (treatment only); neck and lower back musculoskeletal disorders and mental disorders |
Workers on full sick leave had higher levels of disability and lower quality of life; Individuals on full sick leave reported the greatest improvements in disability related to back pain, averaging approximately 6 points (M = -6.43, SE = 0.34), compared to those on (M = -4.36, SE = 0.37) and those without sick leave (M = -2.42, SE = 0.25); however, pain-related disability was observed in these groups at 6 months |
| 2- Dias et al. (2023)20
|
The impact of disease changes and mental health conditions on the return to work after repeated sick leaves among Brazilian public university employees |
Brazil |
Assess changes in ICD codes, readaptation |
Historical cohort Population: 738 Public servants Sick leaves due to mental health conditions, higher prevalence of depression; Multiple regression and directed maximum likelihood estimation |
Recurrence of leave, duration, return to work |
Leave of absence due to mental health issues: twice the chance of rehabilitation; A primary diagnosis of mental disorder results in a significant increase in the likelihood of returning to work in a different role: 2.6 times. (OR: 2.46, p < 0.001) |
| 3- Jinde et al. (2021)21
|
Relationship Between Work Engagement and the Onset of Long-term Sickness Absence Due to Mental Disorders: A 4-year Retrospective Cohort Study |
Japan |
Investigate workplace engagement and absenteeism due to MSD |
Retrospective cohort - pharmaceutical sector Categorization: Low, moderate, and high engagement Population: 12,025 individuals; 123 MSD-related absences Average of 142 days of leave Cox proportional hazards analysis |
High risk of long-term sick leave due to MD associated with a low level of work engagement |
High engagement: lower risk of sick leave OR for the high work engagement group among men, significantly lower (0.52, p = 0.015) compared to the low work engagement group. OR for the moderate work engagement group for women significantly higher (2.44, p = 0.043) compared to the low work engagement group. |
| 4- Andersson & Mårtensson (2021)19
|
Women’s experiences of the sick leave process |
Sweden |
Exploring experiences of sick leave |
Qualitative: various sectors Population: 13 individuals Most common reasons for sick leave: Burnout, Depression, low back pain, fibromyalgia, osteoarthritis |
Experiences of illness |
Subordination, helplessness, loss of identity |
| 5- Harrati et al. (2019)22
|
Characterizing Long-Term Trajectories of Work and Disability Leave |
USA |
Characterizing leave, disability |
Prospective cohort - manufacturing. Categorization: one-time leaves; work disruption; permanent disability; Population: 28,843 individuals Absences due to: Depression and MSD Sequence and cluster analysis and multinomial logistic regression |
Absence trajectories, work demands. |
MDE: disruptive leaves of absence (OR: 1.548, p < 0.01). Depression: permanent disability (OR: 1.139, p < 0.01) Women are more likely to take disruptive leave (OR: 2.037; p < 0.01) |
| 6- Hallman et al. (2019)18
|
Sick leave due to musculoskeletal pain: determinants of distinct trajectories over 1 year |
Denmark |
Identify sick leave due to musculoskeletal disorders |
Prospective study – transportation and manufacturing. Categorization: one-time absences; slow growth; rapid growth; Population: 981 individuals Absences due to pain in the neck, lower back, and knees Mild pain: 25% Disabling pain: 34.86% Analysis: latent classes and multinomial regression analysis |
Relationship between sick leave, physical demands, and pain locations |
Long-term sick leave: low autonomy, physical demands, pain in more than 4 locations Leave lasting longer than 90 days was significant in the rapid growth group (OR: 7.83, p < 0.05); Pain in more than 4 locations was a significant finding (OR: 1.42, p < 0.05) |
| 7- Lallukka et al. (2019)17
|
Work-Related Exposures and Sickness Absence Trajectories: A Nationally Representative Follow-up Study among Finnish Working-Aged People |
Finland |
To investigate absence trajectories and contributing factors |
Prospective cohort - various occupations; Population: 3,814 individuals Most prevalent absences: 28.60% absences due to physical strain injuries; 8.23% due to depression and anxiety; Categorized: no exposure to physical demands; 1–15 years of exposure; more than 15 years of exposure. Isolated absences; a few days with increased frequency; long and disabling. Latent class analysis and multinomial logistic regression |
Exposed to physical demands/risk of absences |
Sedentary work with time control: occasional absences Exhausting physical demands: long-term absences The odds increased with a single risk factor, and were higher for individuals with four or more risk factors (OR 2.71) |
| 8- Simpson et al. (2015)24
|
Understanding illness experiences of employees with common mental health disorders |
United Kingdom |
Understanding precipitating factors of absenteeism |
Qualitative study – various sectors Population: 21 individuals Sick leave due to: Depression combined with severe osteoarthritis |
Experience with leave due to MD/MSD, presenteeism |
Interpersonal relationships, excessive pressure, high workload, lack of identity, fear of stigmatization, and worsening of illness |
| 9- Sallis & Birkin (2014)23
|
Experiences of Work and Sickness Absence in Employees with Depression: An Interpretative Phenomenological Analysis |
United Kingdom |
Investigating the experiences of those on leave due to depression |
Qualitative study— office workers Population: 7 individuals Absences due to: Anxiety and depression |
Experience of absence due to mental health issues, presenteeism, and treatment |
Interpersonal relationships, pressure for productivity; invisibility of the illness |
| 10- Haukka et al. (2013)15
|
Pain in multiple sites and sickness absence trajectories: A prospective study among Finns |
Finland |
To study the relationship between pain and sick leave |
Cluster - university hospital workers. Categories: Occasional absences; increasing pattern of absences; Mixed - increasing in the first year of the study and decreasing in the others; Severe and disabling Population: 6,354 individuals Most prevalent absences: Shoulder and back pain 27% Depression - 8% Latent class analysis and multinomial logistic regression |
Pain and categories |
Increasing sick leave: MSD MD, high workload, multisite pain: Disability ORs for high trajectory increased with the number of pain sites, being 2.3 for 1 pain site and 6.5 for 4 pain sites in the age-adjusted analysis In the analysis adjusted for chronic conditions such as MSD and MD, the OR for pain at 1 site was 2.2 and 4.8 for pain at 4 sites |
| 11- Hensing et al. (2013)16
|
Self-assessed mental health problems and work capacity as determinants of return to work: a prospective general population-based study of individuals with all-cause sickness absence |
Sweden |
Examine sick leave, work capacity |
Prospective cohort – various occupations. Categories: ≤14 days of leave, 15–90 days; >91 days of leave Return: >28 days; 29–104; >105 days Population: 2,502 individuals Sick leave due to MD Binary multinomial regression analysis |
Relationship between leave, disability, and return to work |
Long-term leave, low capacity: delayed return to work; OR for persistent mental illness (OR=2.97); and OR for poor mental well-being (OR 2.96) associated with delayed return to work – over 105 days |