Cargando…

Educational inequalities in major depressive disorder over the adult life course: a microsimulation

BACKGROUND: Educational inequalities in major depressive disorder (MDD) pose a major challenge. Tackling this issue requires evidence on the long-term impact of intervening on modifiable factors, e.g. behavioural and psychosocial factors. Therefore, we aim to simulate the development of educational...

Descripción completa

Detalles Bibliográficos
Autores principales: Lepe, A, Hoveling, LA, Boissonneault, M, de Beer, JAA, Reijneveld, SA, de Kroon, MLA, Liefbroer, AC
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593506/
http://dx.doi.org/10.1093/eurpub/ckac129.264
_version_ 1784815176773533696
author Lepe, A
Hoveling, LA
Boissonneault, M
de Beer, JAA
Reijneveld, SA
de Kroon, MLA
Liefbroer, AC
author_facet Lepe, A
Hoveling, LA
Boissonneault, M
de Beer, JAA
Reijneveld, SA
de Kroon, MLA
Liefbroer, AC
author_sort Lepe, A
collection PubMed
description BACKGROUND: Educational inequalities in major depressive disorder (MDD) pose a major challenge. Tackling this issue requires evidence on the long-term impact of intervening on modifiable factors, e.g. behavioural and psychosocial factors. Therefore, we aim to simulate the development of educational inequalities in MDD across the life course, and to assess the impact of intervening on the modifiable factors that contribute to these inequalities. METHODS: We used data from the prospective Dutch Lifelines Cohort Study to estimate the required input for a continuous-time microsimulation. The microsimulation allowed us to estimate the development of educational inequalities in MDD with a synthetic cohort of 500,000 individuals followed from ages 18 to 65, and to assess the potential benefit of intervening on quality of social contacts, health literacy, and smoking. RESULTS: On average, an additional 19.1% of individuals with low education will ever experience MDD between ages 18 and 65 compared to those with high education (32.0% vs 12.9%, respectively). Additionally, individuals with low education generally will develop MDD 0.9 years earlier (35.6 years vs 36.5 years, respectively) and spend 1.2 years more with MDD (6.2 years vs 5 years, respectively), than individuals with high education. Improving the quality of social contacts in individuals with low education would have the largest impact; it would reduce the inequalities in the prevalence, onset, and duration of MDD by an average of 18.4%, 18.3%, and 28.6%, respectively. CONCLUSIONS: Intervening on modifiable factors, especially quality of social contacts, in individuals with low education could help reduce the large estimated educational inequalities in MDD over the life course. KEY MESSAGES: • There are large educational inequalities in major depressive disorder (MDD) over the life course, especially with regard to the life course prevalence of MDD. • Improving quality of social contacts, and to a lesser extent health literacy and smoking behaviours, amongst individuals with low education may help reduce the inequalities in MDD.
format Online
Article
Text
id pubmed-9593506
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-95935062022-11-22 Educational inequalities in major depressive disorder over the adult life course: a microsimulation Lepe, A Hoveling, LA Boissonneault, M de Beer, JAA Reijneveld, SA de Kroon, MLA Liefbroer, AC Eur J Public Health Parallel Programme BACKGROUND: Educational inequalities in major depressive disorder (MDD) pose a major challenge. Tackling this issue requires evidence on the long-term impact of intervening on modifiable factors, e.g. behavioural and psychosocial factors. Therefore, we aim to simulate the development of educational inequalities in MDD across the life course, and to assess the impact of intervening on the modifiable factors that contribute to these inequalities. METHODS: We used data from the prospective Dutch Lifelines Cohort Study to estimate the required input for a continuous-time microsimulation. The microsimulation allowed us to estimate the development of educational inequalities in MDD with a synthetic cohort of 500,000 individuals followed from ages 18 to 65, and to assess the potential benefit of intervening on quality of social contacts, health literacy, and smoking. RESULTS: On average, an additional 19.1% of individuals with low education will ever experience MDD between ages 18 and 65 compared to those with high education (32.0% vs 12.9%, respectively). Additionally, individuals with low education generally will develop MDD 0.9 years earlier (35.6 years vs 36.5 years, respectively) and spend 1.2 years more with MDD (6.2 years vs 5 years, respectively), than individuals with high education. Improving the quality of social contacts in individuals with low education would have the largest impact; it would reduce the inequalities in the prevalence, onset, and duration of MDD by an average of 18.4%, 18.3%, and 28.6%, respectively. CONCLUSIONS: Intervening on modifiable factors, especially quality of social contacts, in individuals with low education could help reduce the large estimated educational inequalities in MDD over the life course. KEY MESSAGES: • There are large educational inequalities in major depressive disorder (MDD) over the life course, especially with regard to the life course prevalence of MDD. • Improving quality of social contacts, and to a lesser extent health literacy and smoking behaviours, amongst individuals with low education may help reduce the inequalities in MDD. Oxford University Press 2022-10-25 /pmc/articles/PMC9593506/ http://dx.doi.org/10.1093/eurpub/ckac129.264 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Parallel Programme
Lepe, A
Hoveling, LA
Boissonneault, M
de Beer, JAA
Reijneveld, SA
de Kroon, MLA
Liefbroer, AC
Educational inequalities in major depressive disorder over the adult life course: a microsimulation
title Educational inequalities in major depressive disorder over the adult life course: a microsimulation
title_full Educational inequalities in major depressive disorder over the adult life course: a microsimulation
title_fullStr Educational inequalities in major depressive disorder over the adult life course: a microsimulation
title_full_unstemmed Educational inequalities in major depressive disorder over the adult life course: a microsimulation
title_short Educational inequalities in major depressive disorder over the adult life course: a microsimulation
title_sort educational inequalities in major depressive disorder over the adult life course: a microsimulation
topic Parallel Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593506/
http://dx.doi.org/10.1093/eurpub/ckac129.264
work_keys_str_mv AT lepea educationalinequalitiesinmajordepressivedisorderovertheadultlifecourseamicrosimulation
AT hovelingla educationalinequalitiesinmajordepressivedisorderovertheadultlifecourseamicrosimulation
AT boissonneaultm educationalinequalitiesinmajordepressivedisorderovertheadultlifecourseamicrosimulation
AT debeerjaa educationalinequalitiesinmajordepressivedisorderovertheadultlifecourseamicrosimulation
AT reijneveldsa educationalinequalitiesinmajordepressivedisorderovertheadultlifecourseamicrosimulation
AT dekroonmla educationalinequalitiesinmajordepressivedisorderovertheadultlifecourseamicrosimulation
AT liefbroerac educationalinequalitiesinmajordepressivedisorderovertheadultlifecourseamicrosimulation