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The Health Status of Nonparticipants in a Population-based Health Study: The Hordaland Health Study
Abstract
The authors aimed to examine whether nonparticipation in a population-based health study was associated with poorer health status; to determine whether specific health problems were overrepresented among nonparticipants; and to explore potential consequences of participation bias on associations between exposures and outcomes. They used data from the Hordaland Health Study (HUSK), conducted in western Norway in 1997-1999. Of 29,400 persons invited, 63.1% participated in the study. Information from HUSK was linked with the Norwegian national registry of disability pensions (DPs), including information about DP diagnosis. The risk of DP receipt was almost twice as high among nonparticipants as participants (relative risk = 1.88, 95% confidence interval: 1.81, 1.95). The association was strongest for DPs received for mental disorders, with a 3-fold increased risk for nonparticipation. Substance abuse, psychotic disorders, and personality disorders were especially overrepresented among nonparticipants. The authors simulated the impact of nonparticipation on associations between exposures and outcomes by excluding HUSK participants with higher symptoms of common mental disorders (exposure) and examining the impact on DP (outcome). This selective exclusion modestly reduced associations between common mental disorders and DP. The authors conclude that nonparticipants have poorer health, but this is disorder-dependent. Participation bias is probably a greater threat to the validity of prevalence studies than to studies of associations between exposures and outcomes.
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“non-participants of health surveys generally have worse health than participants,29”
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“It should be also mentioned that people with mental disorders could be less likely to participate in cross-sectional population surveys and therefore our results may be under-estimates of true population prevalence (Arias-de la Torre et al., 2020; Knudsen et al., 2010).”
From Prevalence and age patterns of depression in the United Kingdom. A population-based study (2021) · cites this paper as Knudsen et al., 2010
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“Furthermore, as people from the most disadvantaged extreme of the social continuum are usually not included within health interview surveys [34,35], exploring the accuracy of SRD in this segment of the population might help to better determine the accuracy of SRD to screen for depression.”
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“Non-participants have generally poorer health than participants, which may lead to an underrepresentation of mental health problems and potential alcohol-related problems and overrepresentation of satisfaction with life in the current sample (68).”
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“It is unlikely that this method provides complete adjustment for non-participation [54].”
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“Previous studies have shown an association between ill health, including alcohol misuse, and response status [8,21,56].”
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“The healthy volunteer selection bias is likely to be particularly strong for mental disorders, where disorder status or symptoms may influence participation in research [15].”
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“Although selection bias is likely to have a greater impact on prevalence estimates than on association estimates [31, 57, 58], we cannot fully exclude the possibility that the associations identified in the present study underestimate the true relationships in a general population of mothers and toddlers.”
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“Children from families that are socially disadvantaged and/or are of CALD backgrounds may be more at risk of adverse developmental outcomes and inequitable access to health services such as developmental surveillance, and are also the least likely to participate in research [14, 15, 44].”
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“However, the study found no significant gender differences in the association between nonparticipation and awards of disability pension [40].”
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“We acknowledge that the population studies we have used as comparators may have underestimated the prevalence of psychological distress due to non-response bias [18].”
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“Further, it has been known that people with severe psychopathology and comorbid psychiatric illnesses tend not to participate in research [37], thus, we may have missed people with severe level of depression, resulting in underestimation of impact of depression.”
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“This decision depends on health status Y0i , socio-economic status and classic risk factors Xi (Chou et al., 1997; Cohen & Duffy, 2002; Hara et al., 2002; Jousilahti et al., 2005; Drivsholm et al., 2006; Alkerwi et al., 2010; Knudsen et al., 2010).”
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“Also, even highly selective non-participation only seems to moderately influence associations between variables [23], giving reason to believe that our estimates have not been severely affected by non-participation.”
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“However, the response rates of 51 % pose a risk of bias in the results, as nonparticipation in health surveys has been shown to be associated with poor health [29].”
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Associations of Childhood Maltreatment and Genetic Risks With Incident Heart Failure in Later Life
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“36 This evidence and previous work on health surveys with selection bias because of nonresponse 37,38 suggest that the current conclusion is less likely to be biased by a low response rate.”
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“It has been reported that non-participants in HUSK had a higher risk for all-cause disability pension compared with participants [34].”
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“Selection bias may have also arisen from those with PE being less likely to participate in the survey (Knudsen et al., 2010).”
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“However, bias due to non-participation is probably of less concern in prospective studies [38,39],”
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Petrenya, N., Hopstock, L. A., Holde, G. E., Oscarson, N., & Jönsson, B. (2022) · Journal of Periodontology · doi:10.1002/jper.22-0004 · Cited by 19
Myrtveit, S. M., Askeland, K. G., Knudsen, A. K., Knapstad, M., Olsen, R. K., Nedregård, T., & Skogen, J. C. (2016) · Nordic Studies on Alcohol and Drugs · doi:10.1515/nsad-2016-0031 · Cited by 19
Self-citationKnapstad, M., Löve, J., Holmgren, K. E., Hensing, G. K. E., & Øverland, S. N. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012372 · Cited by 19
“10 Existing evidence further suggests health selection whereby participants have better general 6 8 11 12 and mental health, 13 are less likely to be on 6 – 8 or at risk for disability pension award, 11 and also have a higher life expectancy 14 than non-participants.”
BackgroundKopperstad, Ø., Skogen, J. C., Sivertsen, B., Tell, G. S., & Sæther, S. M. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172932 · Cited by 18
Self-citationde la Cruz, L. F., Vidal‐Ribas, P., Zahreddine, N., Mathiassen, B., Brøndbo, P. H., Simonoff, E. A., Goodman, R., & Stringaris, A. K. (2017) · Child Psychiatry & Human Development · doi:10.1007/s10578-017-0777-1 · Cited by 18
Wang, Y., Zhao, R. Z., Gu, C., Gu, Z., Li, L., Li, Z., Dong, C., Zhu, J., Fu, T., & Gao, J. (2019) · Psychology Health & Medicine · doi:10.1080/13548506.2019.1587479 · Cited by 18
Bebanic, V., Clench‐Aas, J., Raanaas, R. K., & Nes, R. B. (2015) · Journal of Interpersonal Violence · doi:10.1177/0886260515591978 · Cited by 23
“Individuals with mental health problems likewise tend to be underrepresented in health surveys (Knudsen et al., 2010; Mykletun et al., 2007), and individuals exposed to severe violence might be underrepresented due to exclusion of institutionalized and hospitalized individuals in the Health and…”
BackgroundKjørstad, K., Vedaa, Ø., Pallesen, S., Saxvig, I. W., Hysing, M., & Sivertsen, B. (2022) · Chronobiology International · doi:10.1080/07420528.2022.2121657 · Cited by 19
“On the one hand, nonparticipants of health surveys usually have poorer general health than participants (Knudsen et al. 2010).”
BackgroundJarman, L., Martin, A. J., Venn, A., Otáhal, P., & Sanderson, K. A. (2015) · BMC Public Health · doi:10.1186/s12889-015-2625-1 · Cited by 17
“We acknowledge it is possible that people with greater stress may have chosen not to respond to the surveys [56, 57].”
BackgroundKlijs, B., Angelini, V., Mierau, J. O., & Smidt, N. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw076 · Cited by 17
Cvejic, E., Parker, G. B., Harvey, S. B., Steel, Z., Hadži-Pavlović, D., Macnamara, C. L., & Vollmer-Conna, U. S. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016837 · Cited by 19
“Indeed, the response rate for Australian medical students in the National Mental Health Survey of Doctors and Medical Students(6) was very low at 27%; this is unlikely to be fully representative of the medical student population, thus compromising valid estimates of disorder prevalence.(16) The extent to which mental…”
BackgroundSleep medication and melatonin use among Norwegian nurses – A cross‐sectional study
Forthun, I., Waage, S., Pallesen, S., Moen, B. E., & Bjorvatn, B. (2021) · Nursing Open · doi:10.1002/nop2.1057 · Cited by 16
“In general, non- responders are often found to be of poorer health, but whether or not non- response leads to biased results varies by type of health outcome studied (Knudsen et al., 2010; Langhammer et al., 2012; Vercambre & Gilbert, 2012).”
ResultAlcohol consumption and self-rated health among older people: population-based study in Sweden
Lindström, J., Hellström, C., Simonsson, B., & Molarius, A. (2019) · Journal of Public Health · doi:10.1093/pubmed/fdz168 · Cited by 16
Matić, T., Pregelj, P., Sadikov, A., & Prelog, P. R. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20010339 · Cited by 17
“It was also demonstrated that non-participants of health surveys generally have worse health than participants [44].”
BackgroundOevreboe, T. H., Ivarsson, A., Sundgot-Borgen, J. K., Knudsen, A. K., Reneflot, A., & Pensgaard, A. M. (2023) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2023-001538 · Cited by 21
Self-citationDetection and disclosure of workplace mental health challenges: an exploratory study from India
Poddar, A., & Chhajer, R. (2024) · BMC Public Health · doi:10.1186/s12889-024-19422-9 · Cited by 21
Myrtveit, S. M., Askeland, K. G., Knapstad, M., Knudsen, A. K., & Skogen, J. C. (2016) · European Journal of Higher Education · doi:10.1080/21568235.2016.1252933 · Cited by 15
“In general, individuals that participate in studies are healthier than nonparticipants (Knudsen et al. 2010), and we therefore expect our study population to contain healthier individuals than the student population as such.”
BackgroundSelf-citationBratke, H., & Sivertsen, B. (2021) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2021-0041 · Cited by 13
“Further, our results might give an underestimation of symptoms, since non participants of health surveys tend to have worse health than participants [25].”
ResultDanielsen, H. E., Finserås, T. R., Andersen, A. I. O., Hjetland, G. J., Woodfin, V. I., & Skogen, J. C. (2024) · BMC Public Health · doi:10.1186/s12889-024-19317-9 · Cited by 31
Self-citationRognmo, K., Torvik, F. A., Idstad, M., & Tambs, K. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-852 · Cited by 15
“In general, even highly selective non-participation are not usually expected to influence associations between variables dramatically [44], giving reason to believe that our estimates have not been severely affected by nonparticipation.”
BackgroundMyrtveit, S. M., Ariansen, A. M. S., Wilhelmsen, I., Krokstad, S., & Mykletun, A. (2013) · BMC Research Notes · doi:10.1186/1756-0500-6-27 · Cited by 16
“This was also the case in HUSK, a comparable study, but with a more limited age-range [39].”
ResultSelf-citationThe impact of gender on early ill-health retirement in people with heart disease and depression
Paradise, M., Naismith, S. L., Davenport, T. A., Hickie, I. B., & Glozier, N. (2012) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867411427807 · Cited by 15
“Given that nonresponse is more likely in those with psychiatric disorders and those leaving the workforce early (Knudsen et al., 2010), this would imply that, if anything, the impact of female gender on the association between depression and IHR would be underestimated in our models.”
BackgroundChen, Y., He, J., Wu, Q., Pu, S., & Song, C. (2023) · Nursing Open · doi:10.1002/nop2.2061 · Cited by 14
“Second, the quality and quantity of analytical methods and sampling strategies can lead to differences in prevalence and incidence estimates, which are liable to imprecision (Knudsen et al., 2010).”
BackgroundSpreij, L. A., Gosselt, I. K., Visser‐Meily, J. M. A., & Nijboer, T. C. W. (2020) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2020.1808595 · Cited by 14
“A general concern might regard a potential selection bias, where patients who are willing to participate are probably patients who are less impaired (Knudsen et al., 2010; Olson et al., 2010).”
BackgroundHenderson, M., Stansfeld, S. A., & Hotopf, M. H. (2012) · Psychological Medicine · doi:10.1017/s0033291712002528 · Cited by 14
“It is possible that the individuals with the most severe mental disorders (who are known to have high levels of LTSA) are most likely to fail to respond (Knudsen et al. 2010).”
BackgroundSelf-citationNielsen, S. W., Eckhoff, L., Ruhlmann, C. H. B., Herrstedt, J., & Dalton, S. O. (2021) · Acta Oncologica · doi:10.1080/0284186x.2021.2007283 · Cited by 13
“Although this hopefully increases generalizability of our findings, we know from other health surveys that non-participants are more often men and patients with worse clinical outcomes [34].”
ResultSecular and longitudinal trends in body composition: The Tromsø Study, 2001 to 2016
Lundblad, M. W., Johansson, J., Jacobsen, B. K., Grimsgaard, S., Andersen, L. F., Wilsgaard, T., & Hopstock, L. A. (2021) · Obesity · doi:10.1002/oby.23267 · Cited by 13
“Attenders in population studies tend to have a more favorable health profile than the nonattenders (34,35).”
BackgroundHaukenes, I., Riise, T., Haug, K., Farbu, E. H., & Mæland, J. G. (2013) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2012-202182 · Cited by 13
Nilsen, L., Hopstock, L. A., Skeie, G., Grimsgaard, S., & Lundblad, M. W. (2021) · Nutrients · doi:10.3390/nu13020405 · Cited by 13
Individual and environmental contributors to psychological distress during imprisonment
Favril, L., & van Ginneken, E. F. J. C. (2023) · European Journal of Criminology · doi:10.1177/14773708231201726 · Cited by 14
“Indeed, community-based studies suggest that non-participants exhibit higher levels of psychiatric morbidity than do participants (Haapea et al., 2008; Knudsen et al., 2010).”
BackgroundMental health phenotyping in UK Biobank
Davis, K. A. S., & Hotopf, M. H. (2019) · Progress in Neurology and Psychiatry · doi:10.1002/pnp.522 · Cited by 13
Self-citationParticipation Bias in a Survey of Community Patients With Heart Failure
Simsek, I., Manemann, S. M., Yost, K. J., Chamberlain, A. M., Fabbri, M., Jiang, R., Weston, S. A., & Roger, V. L. (2020) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2019.11.028 · Cited by 12
Coleman, J. R. I. (2021) · Complex Psychiatry · doi:10.1159/000516837 · Cited by 13
Snus use and cardiovascular risk factors in the general population: the HUNT3 study
Øverland, S., Skogen, J. C., Lissner, L., Bjerkeset, O., Tjora, T., & Stewart, R. (2013) · Addiction · doi:10.1111/add.12313 · Cited by 13
Self-citation
Metadata
- Authors
- Knudsen, A. K., Hotopf, M., Skogen, J. C., Overland, S., & Mykletun, A.
- Affiliations
- University of Bergen (NO)
- Corresponding author
- Knudsen, A. K.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-09-15
- Volume
- 172
- Issue
- 11
- Pages
- 1306-1314
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2163894459
- Cited by
- 322
- References
- 40
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 13 · 2023: 19 · 2022: 26 · 2021: 23 · 2020: 21 · 2019: 24 · 2018: 11 · 2017: 15 · 2016: 20 · 2015: 26 · 2014: 28 · 2013: 29 · 2012: 27
- FWCI
- 73.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institute for Health and Care Research (NF-SI-0507-10088)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- non-participation, participation bias, Hordaland Health Study, disability pension, common mental disorders, substance abuse, psychosis, personality disorders, health status, prevalence studies, exposure-outcome association, research validity
- MeSH terms
- Adult, Mental Disorders, Community Participation, Diagnosis-Related Groups, Female, Health Status, Health Status Indicators, Humans, Male, Middle Aged, Musculoskeletal Diseases, Norway, Population Surveillance, Surveys and Questionnaires, Selection Bias, Prevalence, Sex Distribution, Insurance, Disability
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