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Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study

BACKGROUND: Early retirement caused by disability pension (DP) due to common mental disorders (CMDs) is frequent in European countries. Inadequate treatment, e.g., suboptimal antidepressant (AD) medication before DP can be crucial in such DP. This explorative study aimed to disentangle trajectories...

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Autores principales: Rahman, Syed, Wiberg, Michael, Alexanderson, Kristina, Jokinen, Jussi, Tanskanen, Antti, Mittendorfer-Rutz, Ellenor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812203/
https://www.ncbi.nlm.nih.gov/pubmed/29439697
http://dx.doi.org/10.1186/s12888-018-1628-8
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author Rahman, Syed
Wiberg, Michael
Alexanderson, Kristina
Jokinen, Jussi
Tanskanen, Antti
Mittendorfer-Rutz, Ellenor
author_facet Rahman, Syed
Wiberg, Michael
Alexanderson, Kristina
Jokinen, Jussi
Tanskanen, Antti
Mittendorfer-Rutz, Ellenor
author_sort Rahman, Syed
collection PubMed
description BACKGROUND: Early retirement caused by disability pension (DP) due to common mental disorders (CMDs) is frequent in European countries. Inadequate treatment, e.g., suboptimal antidepressant (AD) medication before DP can be crucial in such DP. This explorative study aimed to disentangle trajectories of AD based on defined daily dose (DDD) before and after granted DP, and to characterize the trajectories by socio-demographics and medical factors. METHODS: All 4642 individuals in Sweden aged 19–64 with incident DP due to CMD in 2009–2010 were included. Trajectories of annual DDDs of AD were analysed over a 6-year period by a group-based trajectory method. Associations between socio-demographic or medical factors and different trajectories were estimated by chi(2)-test and multinomial logistic regression. RESULTS: Five trajectories of ADs were identified. Three groups, comprising 34%, 34%, and 21% of the cohort, had constant AD levels before and after DP with mean annual DDDs of 29, 234, and 580, respectively. Two groups, each including 6% of the cohort, had increasing levels of DDDs, levelling off at around 1150 and 785 DDDs after DP. Particularly age, outpatient care due to mental diagnoses and DP diagnoses were significantly associated with different trajectories (p < 0.05). All the groups had a larger proportion of older individuals (> 50%, 45–64 years), except for the ‘increasing low’ group, where younger individuals were in majority (> 60%, 18–44 years), who more frequently exited labour market due to ‘anxiety disorders’, with lower education and more specialised healthcare before DP than the other groups. CONCLUSION: The heterogeneity among the five trajectory groups was partly explained by age, the severity of the mental disorder and the DP diagnoses. DDDs of ADs, though on different levels, varied marginally before and after granted DP in the majority. Moreover, AD levels were very low in one third of the individuals. Early identification and focus on the ‘increasing low’ group might be important in order to identify individuals at risk for further increase in annual DDDs of ADs even after granted DP, and might also contribute in prevention of DP. Further detailed research regarding different groups is warranted.
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spelling pubmed-58122032018-02-15 Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study Rahman, Syed Wiberg, Michael Alexanderson, Kristina Jokinen, Jussi Tanskanen, Antti Mittendorfer-Rutz, Ellenor BMC Psychiatry Research Article BACKGROUND: Early retirement caused by disability pension (DP) due to common mental disorders (CMDs) is frequent in European countries. Inadequate treatment, e.g., suboptimal antidepressant (AD) medication before DP can be crucial in such DP. This explorative study aimed to disentangle trajectories of AD based on defined daily dose (DDD) before and after granted DP, and to characterize the trajectories by socio-demographics and medical factors. METHODS: All 4642 individuals in Sweden aged 19–64 with incident DP due to CMD in 2009–2010 were included. Trajectories of annual DDDs of AD were analysed over a 6-year period by a group-based trajectory method. Associations between socio-demographic or medical factors and different trajectories were estimated by chi(2)-test and multinomial logistic regression. RESULTS: Five trajectories of ADs were identified. Three groups, comprising 34%, 34%, and 21% of the cohort, had constant AD levels before and after DP with mean annual DDDs of 29, 234, and 580, respectively. Two groups, each including 6% of the cohort, had increasing levels of DDDs, levelling off at around 1150 and 785 DDDs after DP. Particularly age, outpatient care due to mental diagnoses and DP diagnoses were significantly associated with different trajectories (p < 0.05). All the groups had a larger proportion of older individuals (> 50%, 45–64 years), except for the ‘increasing low’ group, where younger individuals were in majority (> 60%, 18–44 years), who more frequently exited labour market due to ‘anxiety disorders’, with lower education and more specialised healthcare before DP than the other groups. CONCLUSION: The heterogeneity among the five trajectory groups was partly explained by age, the severity of the mental disorder and the DP diagnoses. DDDs of ADs, though on different levels, varied marginally before and after granted DP in the majority. Moreover, AD levels were very low in one third of the individuals. Early identification and focus on the ‘increasing low’ group might be important in order to identify individuals at risk for further increase in annual DDDs of ADs even after granted DP, and might also contribute in prevention of DP. Further detailed research regarding different groups is warranted. BioMed Central 2018-02-13 /pmc/articles/PMC5812203/ /pubmed/29439697 http://dx.doi.org/10.1186/s12888-018-1628-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rahman, Syed
Wiberg, Michael
Alexanderson, Kristina
Jokinen, Jussi
Tanskanen, Antti
Mittendorfer-Rutz, Ellenor
Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study
title Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study
title_full Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study
title_fullStr Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study
title_full_unstemmed Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study
title_short Trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study
title_sort trajectories of antidepressant medication use in individuals before and after being granted disability pension due to common mental disorders- a nationwide register-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812203/
https://www.ncbi.nlm.nih.gov/pubmed/29439697
http://dx.doi.org/10.1186/s12888-018-1628-8
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