ArticlePloS one2024
Sickness absence and disability pension trajectories among individuals on sickness absence due to stress-related disorders. Two prospective population-based cohorts with 13-month follow-up.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundStress-related disorders are common diagnoses for sickness absence (SA) and disability pension (DP) in many Western countries. Knowledge on future SA/DP trajectories among those starting such a SA spell is limited. The aims were to identify future SA/DP days trajectories among individuals starting an SA spell due to stress-related disorder and investigate socio-demographic and morbidity characteristics associated with specific trajectories.
methodsUsing microdata from nationwide registers, we established two cohorts of all living in Sweden who started a new SA spell >14 days due to stress-related disorder in 2011 (N = 32,417) or in 2018 (N = 65,511), respectively. Group-based trajectory models were used to identify trajectories of monthly average SA/DP days during the following 13 months, separate for each cohort. We used multinomial logistic regression to investigate the associations between sociodemographic and morbidity-related predictors and trajectory membership.
resultsWe identified six SA/DP trajectories in the two cohorts: steep drop (30.6% and 35.9% of all included in 2018 and 2011); constant fluctuating (8.7%, 11.2%); fast decrease (25.5%, 24.4%); medium decrease (18.1%, 13.1%); slow decrease (10.8%, 7.3%), and constant high (6.2%, 8.0%). The distributions of sociodemographic factors, multi-morbidity, and history of SA/DP differed between the trajectory groups. For example, compared to the steep drop trajectory, individuals in the other trajectories were more likely to be a woman, older, having had prior SA/DP or specialized outpatient healthcare visits.
conclusionsIn these two explorative, population-wide cohorts, we identified six different trajectories of SA/DP days among all with a new SA spell with stress-related disorders. The trajectory groups differed regarding both sociodemographic and health-related covariates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.