The Norwegian Institute of Public Health Twin Study of Mental Health: Examining Recruitment and Attrition Bias
Open accessAbstract
All Norwegian twin pairs born 1967–1974 and still living in Norway in 1992 were invited to a health questionnaire study (Q1). 2,570 pairs (65%) participated. These cohorts and the twin cohorts born 1967–1979 were invited to a new questionnaire study (Q2) in 1998. This time 3,334 pairs (53%) participated. Almost all pairs having participated in the 1998 study were invited to an interview study of mental health (MHS), taking place 1999–2004. 1,391 complete pairs (44%) participated. The questionnaire studies included extensive data on somatic health with fewer items on mental health and demography. Health-related and demographic information available from the Medical Birth Registry on all invited twins was applied to predict participation to the first study. A few registry variables indicating poor health predicted nonparticipation in Q1. Health information and demography from Q1 were tested as predictors of participation in the follow-up study (Q2). Monozygosity, female sex, being unmarried, having no children, and high education predicted participation, whereas few indicators of poor mental and somatic health and unhealthy lifestyle moderately predicted nonparticipation in Q2. No health indicators reported in Q2 predicted further participation. Standard genetic twin analyses of indicators of various mental disorders from Q2, validated by diagnostic data from the MHS, did not indicate differences in genetic/environmental covariance structures between participants and nonparticipants in MHS. In general the results show a moderate selection towards good mental and somatic health. Attrition from Q2 to the MHS does not appear to affect twin analyses of mental health related variables.
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Attrition is a common issue in longitudinal studies.
“However, this is a common issue in longitudinal studies [105, 106].”
From The prospective association of adolescent loneliness and low resilience with anxiety and depression in young adulthood: The HUNT study (2025) · cites this paper as [106]
Detailed analyses of non-response predictors in this twin panel showed that further participation was strongly predicted by sex, zygosity, age and education, but not by psychiatric symptoms.
“detailed analyses of the predictors of non-response in this twin panel revealed that further participation was strongly predicted by sex, zygosity, age and education, but not by psychiatric symptoms [34].”
From Personality disorders are important risk factors for disability pensioning (2014) · cites this paper as [34]
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“However, this is a common issue in longitudinal studies [105, 106 ].”
- Authors
- Tambs, K., Rønning, T., Prescott, C. A., Kendler, K. S., Reichborn-Kjennerud, T., Torgersen, S., & Harris, J. R.
- Affiliations
- Norwegian Institute of Public Health (NO)
- University of Southern California (US)
- Virginia Commonwealth University (US)
- University of Oslo (NO)
- Corresponding author
- Tambs, Kristian
- Venue
- Twin Research and Human Genetics
- Publisher
- Cambridge University Press (CUP)
- Published
- 2009-04-01
- Volume
- 12
- Issue
- 2
- Pages
- 158-168
- ISSN
- 1832-4274 (ISSN-L)
- 1839-2628
- PMC
- PMC2743739
- OpenAlex
- W2068331313
- Cited by
- 118
- References
- 50
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 6 · 2020: 7 · 2019: 5 · 2018: 9 · 2017: 8 · 2016: 10 · 2015: 8 · 2014: 10 · 2013: 6 · 2012: 11
- FWCI
- 26.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Twin Research and Human Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- EkstraStiftelsen Helse og Rehabilitering (Stiftelsen Dam)
- European Commission (QLG2-CT-2002-01254, 01254)
- Norges Forskningsråd (MH-068643)
- National Institutes of Health (QLG2-CT-2002-01254)
- Norwegian Institute of Public Health
- National Institute of Mental Health (MH-068643, R01MH068643)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Keywords
- twin studies, mental health, recruitment bias, attrition bias, selection bias, physical health, lifestyle factors, genetic covariance, environmental covariance, mental illness
- MeSH terms
- Female, Health Status, Humans, Male, Mental Health, Patient Participation, Surveys and Questionnaires, Twins, Health Behavior, Bias, Twin Studies as Topic, Patient Selection
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