Estonian National Mental Health Study: Design and methods for a registry‐linked longitudinal survey

Author:

Laidra Kaia1ORCID,Reile Rainer1,Havik Merle2,Leinsalu Mall13,Murd Carolina2,Tulviste Jaan2,Tamson Merili4,Akkermann Kirsti5,Kreegipuu Kairi5,Sultson Hedvig5,Ainsaar Mare6,Uusberg Andero5,Rahno Jaana2,Panov Liisi7,Leetmaa Kadri8,Aasa Anto8,Veidebaum Toomas2,Lehto Kelli9,Konstabel Kenn2

Affiliation:

1. Department of Epidemiology and Biostatistics National Institute for Health Development Tallinn Estonia

2. Department of Chronic Diseases National Institute for Health Development Tallinn Estonia

3. Stockholm Centre for Health and Social Change Södertörn University Huddinge Sweden

4. Department of Drugs and Infectious Diseases Epidemiology National Institute for Health Development Tallinn Estonia

5. Institute of Psychology University of Tartu Tartu Estonia

6. Institute of Social Studies University of Tartu Tartu Estonia

7. Department of Health Statistics National Institute for Health Development Tallinn Estonia

8. Department of Geography University of Tartu Tartu Estonia

9. Estonian Genome Centre, Institute of Genomics University of Tartu Tartu Estonia

Abstract

AbstractObjectivesThe Estonian National Mental Health Study (EMHS) was conducted in 2021–2022 to provide population‐wide data on mental health in the context of COVID‐19 pandemic. The main objective of this paper is to describe the rationale, design, and methods of the EMHS and to evaluate the survey response.MethodsRegionally representative stratified random sample of 20,000 persons aged 15 years and older was drawn from the Estonian Population Register for the study. Persons aged 18 years and older at the time of the sampling were enrolled into three survey waves where they were invited to complete an online or postal questionnaire about mental well‐being and disorders, and behavioral, cognitive, and other risk factors. Persons younger than 18 years of age were invited to fill an anonymous online questionnaire starting from wave 2. To complement and validate survey data, data on socio‐demographic, health‐related, and environmental variables were collected from six national administrative databases and registries. Additionally, a subsample was enrolled into a validation study using ecological momentary assessment.ResultsIn total, 5636 adults participated in the survey wave 1, 3751 in wave 2, and 4744 in wave 3. Adjusted response rates were 30.6%, 21.1%, and 27.6%, respectively. Women and older age groups were more likely to respond. Throughout the three survey waves, a considerable share of adult respondents screened positive for depression (27.6%, 25.1%, and 25.6% in waves 1, 2, and 3, respectively). Women and young adults aged 18 to 29 years had the highest prevalence of depression symptoms.ConclusionsThe registry‐linked longitudinal EMHS dataset comprises a rich and trustworthy data source to allow in‐depth analysis of mental health outcomes and their correlates among the Estonian population. The study serves as an evidence base for planning mental health policies and prevention measures for possible future crises.

Funder

Eesti Teadusagentuur

Publisher

Wiley

Subject

Behavioral Neuroscience

Reference55 articles.

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