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

OBJECTIVES: The 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 resp...

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Detalles Bibliográficos
Autores principales: Laidra, Kaia, Reile, Rainer, Havik, Merle, Leinsalu, Mall, Murd, Carolina, Tulviste, Jaan, Tamson, Merili, Akkermann, Kirsti, Kreegipuu, Kairi, Sultson, Hedvig, Ainsaar, Mare, Uusberg, Andero, Rahno, Jaana, Panov, Liisi, Leetmaa, Kadri, Aasa, Anto, Veidebaum, Toomas, Lehto, Kelli, Konstabel, Kenn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454261/
https://www.ncbi.nlm.nih.gov/pubmed/37278143
http://dx.doi.org/10.1002/brb3.3106
Descripción
Sumario:OBJECTIVES: The 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. METHODS: Regionally 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. RESULTS: In 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. CONCLUSIONS: The 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.

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