Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door survey

Background and Objectives: The mental health system in Moldova is transitioning toward a community-based model, which requires data on population mental health. This is the first mental health survey among a representative sample of the adult population. Methods: A stratified multistage sample (n =...

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Main Authors: J.M. van Baar, C. Ciofu, F. Thompson, A.I. Luik, O. Mereanu, J. Kramer, F. Schouten, V. Condrat, L. Voorham, J. Chihai, L. Shields-Zeeman
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Journal of Affective Disorders Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S266691532500006X
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author J.M. van Baar
C. Ciofu
F. Thompson
A.I. Luik
O. Mereanu
J. Kramer
F. Schouten
V. Condrat
L. Voorham
J. Chihai
L. Shields-Zeeman
author_facet J.M. van Baar
C. Ciofu
F. Thompson
A.I. Luik
O. Mereanu
J. Kramer
F. Schouten
V. Condrat
L. Voorham
J. Chihai
L. Shields-Zeeman
author_sort J.M. van Baar
collection DOAJ
description Background and Objectives: The mental health system in Moldova is transitioning toward a community-based model, which requires data on population mental health. This is the first mental health survey among a representative sample of the adult population. Methods: A stratified multistage sample (n = 1826) was collected using in-person door-to-door interviewing during July and August of 2022. The main outcome measures were depression symptoms (PHQ-2), anxiety symptoms (GAD-2), loneliness (UCLA-3), and mental well-being (WHO-5). Multivariable regression models were used to compare outcomes across age, gender, ethnicity, education, employment, and household income groups. Results: Prevalence was 19.8% for depression, 25.5% for anxiety, and 16.1% for loneliness. Average well-being was 69.6 out of 100. Women reported higher prevalence of depression and anxiety symptoms, more loneliness, and lower well-being than men. Older individuals reported higher prevalence of anxiety, more loneliness, and lower well-being than younger individuals. Individuals with low household income reported higher prevalence of depression and anxiety symptoms, more loneliness, and lower well-being than those with higher income, even when adjusting for education and employment. Conclusions: The study provides new data-supported insights into the target populations most at need of mental health support in Moldova (women, older adults, and those with low income) and provides baseline data for population mental health that can inform and guide future policy and research.
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spelling doaj-art-ae1bc331d0bc4607a6756dc0cf80e9672025-02-06T05:12:57ZengElsevierJournal of Affective Disorders Reports2666-91532025-04-0120100876Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door surveyJ.M. van Baar0C. Ciofu1F. Thompson2A.I. Luik3O. Mereanu4J. Kramer5F. Schouten6V. Condrat7L. Voorham8J. Chihai9L. Shields-Zeeman10Trimbos Institute, The Netherlands Institute of Mental Health and Addiction, Da Costakade 45, Utrecht, The Netherlands; Columbia University, Mailman School of Public Health, Department of Epidemiology, 722 West 168th St, New York, NY, United StatesTrimbos Moldova, Strada Universității 26V, Chișinău, Republic of MoldovaTrimbos Institute, The Netherlands Institute of Mental Health and Addiction, Da Costakade 45, Utrecht, The NetherlandsTrimbos Institute, The Netherlands Institute of Mental Health and Addiction, Da Costakade 45, Utrecht, The Netherlands; Erasmus MC University Medical Center, Department of Epidemiology, Dr. Molewaterplein 40, Rotterdam, The NetherlandsTrimbos Moldova, Strada Universității 26V, Chișinău, Republic of MoldovaTrimbos Institute, The Netherlands Institute of Mental Health and Addiction, Da Costakade 45, Utrecht, The NetherlandsNational Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The NetherlandsTrimbos Moldova, Strada Universității 26V, Chișinău, Republic of MoldovaTrimbos Institute, The Netherlands Institute of Mental Health and Addiction, Da Costakade 45, Utrecht, The NetherlandsTrimbos Moldova, Strada Universității 26V, Chișinău, Republic of Moldova; State University of Medicine and Pharmacy, Department of Psychiatry, Stefan cel Mare si Sfant Boulevard 165, MD-2004, Chișinău, Republic of MoldovaTrimbos Institute, The Netherlands Institute of Mental Health and Addiction, Da Costakade 45, Utrecht, The Netherlands; Utrecht University, Department of Social and Behavioral Sciences, Heidelberglaan 1, 3584 CS Utrecht, The Netherlands; Corresponding author at: Trimbos Institute, Da Costakade 45, 3521 VS Utrecht, The Netherlands.Background and Objectives: The mental health system in Moldova is transitioning toward a community-based model, which requires data on population mental health. This is the first mental health survey among a representative sample of the adult population. Methods: A stratified multistage sample (n = 1826) was collected using in-person door-to-door interviewing during July and August of 2022. The main outcome measures were depression symptoms (PHQ-2), anxiety symptoms (GAD-2), loneliness (UCLA-3), and mental well-being (WHO-5). Multivariable regression models were used to compare outcomes across age, gender, ethnicity, education, employment, and household income groups. Results: Prevalence was 19.8% for depression, 25.5% for anxiety, and 16.1% for loneliness. Average well-being was 69.6 out of 100. Women reported higher prevalence of depression and anxiety symptoms, more loneliness, and lower well-being than men. Older individuals reported higher prevalence of anxiety, more loneliness, and lower well-being than younger individuals. Individuals with low household income reported higher prevalence of depression and anxiety symptoms, more loneliness, and lower well-being than those with higher income, even when adjusting for education and employment. Conclusions: The study provides new data-supported insights into the target populations most at need of mental health support in Moldova (women, older adults, and those with low income) and provides baseline data for population mental health that can inform and guide future policy and research.http://www.sciencedirect.com/science/article/pii/S266691532500006XDepressionAnxietyWell-beingEastern EuropeSocial determinants of mental health
spellingShingle J.M. van Baar
C. Ciofu
F. Thompson
A.I. Luik
O. Mereanu
J. Kramer
F. Schouten
V. Condrat
L. Voorham
J. Chihai
L. Shields-Zeeman
Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door survey
Journal of Affective Disorders Reports
Depression
Anxiety
Well-being
Eastern Europe
Social determinants of mental health
title Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door survey
title_full Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door survey
title_fullStr Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door survey
title_full_unstemmed Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door survey
title_short Socioeconomic correlates of mental health in Moldova: A nationally representative door-to-door survey
title_sort socioeconomic correlates of mental health in moldova a nationally representative door to door survey
topic Depression
Anxiety
Well-being
Eastern Europe
Social determinants of mental health
url http://www.sciencedirect.com/science/article/pii/S266691532500006X
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