The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“non-participants of health surveys generally have worse health than participants,29”
In the citing paper
“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
Citations
Cites
The Hospital Anxiety and Depression Scale
Zigmond, A. S., & Snaith, R. P. (1983) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1983.tb09716.x · Cited by 47,139
Participation Rates in Epidemiologic Studies
Galea, S., & Tracy, M. (2007) · Annals of Epidemiology · doi:10.1016/j.annepidem.2007.03.013 · Cited by 1,877
The US National Comorbidity Survey Replication (NCS‐R): design and field procedures
Kessler, R. C., Berglund, P. A., Chiu, W. T., Demler, O., Heeringa, S. G., Hiripi, E., Jin, R., Pennell, B., Walters, E. E., Zaslavsky, A. M., et al. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.167 · Cited by 858
The National Comorbidity Survey Replication (NCS‐R): background and aims
Kessler, R. C., & Merikangas, K. R. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.166 · Cited by 745
Manjer, J., Carlsson, S., Elmståhl, S., Gullberg, B., Janzon, L., Lindström, M., Mattisson, I., & Berglund, G. (2001) · European Journal of Cancer Prevention · doi:10.1097/00008469-200112000-00003 · Cited by 543
The Nord-Trøndelag Health Study 1995-97 (HUNT 2): Objectives, contents, methods and participation
Holmen, J., Midthjell, K., Krüger, Ø., Langhammer, A., Holmen, T. L., Bratberg, G. H., Vatten, L., & Lund‐Larsen, P. G. (2003) · Cited by 526
Non-response and related factors in a nation-wide health survey
Korkeila, K., Suominen, S., Ahvenainen, J., Ojanlatva, A., Rautava, P. T., Helenius, H. Y. M., & Koskenvuo, M. (2001) · European Journal of Epidemiology · doi:10.1023/a:1020016922473 · Cited by 512
Mika Kivimaki, B., Head, J. A., Ferrie, J. E., Shipley, M. J., Vahtera, J., & Marmot, M. G. (2003) · BMJ · doi:10.1136/bmj.327.7411.364 · Cited by 453
The Netherlands Mental Health Survey and Incidence Study (NEMESIS): objectives and design
Bijl, R. V., van Zessen, G., Ravelli, A., de Rijk, C., & Langendoen, Y. (1998) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s001270050097 · Cited by 369
de Graaf, R., Bijl, R. V., Smit, F., Ravelli, A., & Vollebergh, W. (2000) · American Journal of Epidemiology · doi:10.1093/aje/152.11.1039 · Cited by 355
Research works printed but not linked: 3
- Holmen, 1990, Tidsskrift for den Norske laegeforening, 110, 1973
- 2003, NOR EPIDEMIOL, 13, 19
- Overland, 2007, Psychiatric Services, 58, 1479, 10.1176/appi.ps.58.11.1479 · DOI
Cited by
Sorted by citations
The prevalence of depression in rheumatoid arthritis: a systematic review and meta-analysis
Matcham, F., Rayner, L., Steer, S., & Hotopf, M. (2013) · Rheumatology · doi:10.1093/rheumatology/ket169 · Cited by 928
Self-citationMatcham, F., Scott, I. C., Rayner, L., Hotopf, M. H., Kingsley, G. H., Norton, S., Scott, D. L., & Steer, S. E. (2014) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2014.05.001 · Cited by 574
Self-citationMcManus, S., Gunnell, D., Cooper, C., Bebbington, P. E., Howard, L. M., Brugha, T., Jenkins, R., Hassiotis, A., Weich, S., & Appleby, L. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30188-9 · Cited by 415
Participation bias in the UK Biobank distorts genetic associations and downstream analyses
Schoeler, T., Speed, D., Porcu, E., Pirastu, N., Pingault, J., & Kutalik, Z. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01579-9 · Cited by 437
Langhammer, A., Krokstad, S., Romundstad, P., Heggland, J., & Holmen, J. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-143 · Cited by 388
“; licensee BioMed C Creative Commons Attribution License (http:/ distribution, and reproduction in any medium Participation rates in population-based studies have declined during the last three decades [1], and this is the case also in most Norwegian epidemiological studies such as the Nord-Trøndelag Health Study (HUN…”
BackgroundResultInfluentialSmıth, D. J., Nicholl, B. I., Cullen, B., Martin, D. J., Haq, Z. U., Evans, J. J., Gill, J. M. R., Roberts, B. A., Gallacher, J., Mackay, D., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075362 · Cited by 360
“8% for probable major depression could be considered high given that the low participation rate and the likelihood that depression would be more common among non-participants [40].”
BackgroundSelf-citationDavis, K. A. S., Coleman, J. R. I., Adams, M. J., Allen, N. E., Breen, G. D., Cullen, B., Dickens, C. M., Fox, E., Graham, N., Holliday, J., et al. (2020) · BJPsych Open · doi:10.1192/bjo.2019.100 · Cited by 351
Self-citationRepresentativeness of the LifeLines Cohort Study
Klijs, B., Scholtens, S., Mandemakers, J. J., Snieder, H., Stolk, R. P., & Smidt, N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137203 · Cited by 354
“Participants were less often a smoker, had a lower prevalence of chronic diseases, a better self-assessed health and less disability than non-participants [4–6,25].”
BackgroundDepression-Burnout Overlap in Physicians
Wurm, W., Vogel, K., Holl, A. K., Ebner, C., Bayer, D., Mörkl, S., Szilagyi, I.-S., Hotter, E., Kapfhammer, H., & Hofmann, P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0149913 · Cited by 363
“On the other hand, in general, survey participants tend to have better health compared to nonparticipants [60].”
BackgroundThe Bidirectional Association Between Depression and Insomnia
Sivertsen, B., Salo, P., Mykletun, A., Hysing, M., Pallesen, S., Krokstad, S., Nordhus, I. H., & Øverland, S. N. (2012) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3182648619 · Cited by 327
Self-citationPrevalence and risk factors of cancer-related fatigue: A systematic review and meta-analysis
Ma, Y., He, B., Jiang, M., Yang, Y., Wang, C., Huang, C., & Han, L. (2020) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2020.103707 · Cited by 326
Loss to Follow-up in Cohort Studies
Howe, L. D., Tilling, K. M., Galobardes, B., & Lawlor, D. A. (2012) · Epidemiology · doi:10.1097/ede.0b013e31827623b1 · Cited by 311
Shift Work Disorder in Nurses – Assessment, Prevalence and Related Health Problems
Flo, E., Pallesen, S., Magerøy, N., Moen, B. E., Grønli, J., Hilde Nordhus, I., & Bjorvatn, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033981 · Cited by 316
Relationship between burnout and depressive symptoms: A study using the person-centred approach
Ahola, K., Hakanen, J., Perhoniemi, R., & Mutanen, P. (2014) · Burnout Research · doi:10.1016/j.burn.2014.03.003 · Cited by 299
Eldevik, M. F., Flo, E., Moen, B. E., Pallesen, S., & Bjorvatn, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070882 · Cited by 255
“that non-participation in studies like this is normally associated with a poorer health status [39].”
BackgroundDavis, K. A. S., Coleman, J. R. I., Adams, M. J., Allen, N. E., Breen, G. D., Cullen, B., Dickens, C. M., Fox, E., Graham, N., Holliday, J., et al. (2018) · BJPsych Open · doi:10.1192/bjo.2018.12 · Cited by 236
Self-citationRetractedGlobal Epidemiology of Mental Disorders: What Are We Missing?
Baxter, A. J., Patton, G. C., Scott, K. M., Degenhardt, L. J., & Whiteford, H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065514 · Cited by 236
“Bias due to non-response and attrition can be identified, as illustrated by the HUSK study finding that one third of persons receiving disability benefits for mental illness refused participation in a cohort study of adults in western Norway [37].”
BackgroundInjury patterns in Swedish elite athletics: annual incidence, injury types and risk factors
Jacobsson, J., Timpka, T., Kowalski, J. H., Nilsson, S., Ekberg, J., Dahlström, Ö., & Renström, P. A. F. H. (2013) · British Journal of Sports Medicine · doi:10.1136/bjsports-2012-091651 · Cited by 203
Enzenbach, C., Wicklein, B., Wirkner, K., & Loeffler, M. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-019-0779-8 · Cited by 186
“Both no relation between disease status (including cardiovascular diseases, stroke, and diabetes) and response [6, 14] and lower participation rates among diseased persons [10, 15, 26, 28, 33], as well as higher participation associated with disease [11, 23, 32] have been reported.”
BackgroundThe Incidence and Determinants of Primary Nonadherence With Prescribed Medication in Primary Care
Tamblyn, R. M., Eguale, T., Huang, A. R., Winslade, N. E., & Doran, P. (2014) · Annals of Internal Medicine · doi:10.7326/m13-1705 · Cited by 196
The mental health of fire-fighters: An examination of the impact of repeated trauma exposure
Harvey, S. B., Milligan-Saville, J. S., Paterson, H. M., Harkness, E. L., Marsh, A., Dobson, M., Kemp, R. I., & Bryant, R. A. (2015) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867415615217 · Cited by 218
“Conversely, studies utilising population linkage data have found that individuals with mental disorders tend to be under-represented in community health studies (Knudsen et al., 2010), which would push our findings in the other direction.”
BackgroundKnudsen, A. K., Harvey, S. B., Mykletun, A., & Øverland, S. N. (2012) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2012.01902.x · Cited by 195
“Fourth, although the participation rate was in line with what is common in population-based studies, non-participation in HUSK has been found to be higher among individuals with mental disorders (42).”
ResultSelf-citationPhysical activity, resting heart rate, and atrial fibrillation: the Tromsø Study
Morseth, B., Graff-Iversen, S., Jacobsen, B. K., Jørgensen, L., Nyrnes, A., Thelle, D. S., Vestergaard, P., & Løchen, M.-L. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw059 · Cited by 204
Kinge, J., Knudsen, A., Skirbekk, V., & Vollset, S. (2015) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-015-0536-z · Cited by 139
“It is also an advantage that the register datasets used in this study are without missing responses as musculoskeletal disorders are more common among nonparticipants in health surveys [24].”
BackgroundSelf-citationTorvik, F. A., Rognmo, K., & Tambs, K. (2011) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-011-0387-3 · Cited by 158
“In another Norwegian study [19] only 18% of people who received a pension for substance use related diagnoses participated.”
BackgroundEggen, A. E., Mathiesen, E. B., Wilsgaard, T., Jacobsen, B. K., & Njølstad, I. (2013) · Scandinavian Journal of Public Health · doi:10.1177/1403494812469851 · Cited by 158
Prevalence of Musculoskeletal Injuries in Swedish Elite Track and Field Athletes
Jacobsson, J., Timpka, T., Kowalski, J. H., Nilsson, S., Ekberg, J., & Renström, P. A. F. H. (2011) · The American Journal of Sports Medicine · doi:10.1177/0363546511425467 · Cited by 140
“Throwing 17 (19) 16 (21) 33 (20) 13 (20) 9 (18) 22 (19) 55 (20) Sprint 20 (23) 21 (28) 41 (25) 16 (25) 16 (33) 32 (28) 73 (26) Middle and long distance 30 (34) 25 (33) 55 (34) 14 (22) 10 (20) 24 (21) 79 (28) Jumping 16 (18) 10 (13) 26 (16) 16 (25) 12 (25) 28 (25) 54 (19) Combined 6 (7) 3 (4) 9 (6) 6 (9) 2 (4) 8 (7) 17…”
Knapstad, M., Sivertsen, B., Knudsen, A. K., Smith, O. R. F., Aarø, L. E., Lønning, K. J., & Skogen, J. C. (2021) · Psychological Medicine · doi:10.1017/s0033291719003350 · Cited by 158
Self-citationWojcik, W., Lee, W., Colman, I., Hardy, R., & Hotopf, M. H. (2012) · Psychological Medicine · doi:10.1017/s0033291712000682 · Cited by 135
“Nonparticipation may lead to the under-ascertainment of individuals with depression, as has been demonstrated in a study of non-participants (Knudsen et al. 2010).”
ResultSelf-citationGlozier, N., Christensen, H., Naismith, S., Cockayne, N., Donkin, L., Neal, B., Mackinnon, A., & Hickie, I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059139 · Cited by 129
“[30], although in this trial no self-sampling bias with respect CREDO - iCBT for Depression and CVD”
Hagen, E., Erga, A. H., Hagen, K. P., Nesvåg, S. M., McKay, J. R., Lundervold, A. J., & Walderhaug, E. (2016) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2016.02.010 · Cited by 146
Mortality Risk Associated With Disability: A Population-Based Record Linkage Study
Majer, I. M., Nusselder, W. J., Mackenbach, J. P., Klijs, B., & van Baal, P. H. M. (2011) · American Journal of Public Health · doi:10.2105/ajph.2011.300361 · Cited by 117
the SELCoH study team, Hatch, S. L., Frissa, S., Verdecchia, M., Stewart, R. J., Fear, N. T., Reichenberg, A., Morgan, C., Kankulu, B., Clark, J., et al. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-861 · Cited by 117
“Further, a recent simulation study illustrated that nonparticipation may be less influential in studies of associations between exposures and outcomes [54].”
BackgroundSelf-citationKnudsen, A., Stene-Larsen, K., Gustavson, K., Hotopf, M., Kessler, R., Krokstad, S., Skogen, J., Øverland, S., & Reneflot, A. (2021) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2021.100071 · Cited by 104
“Individuals with mental health problems, including suicidality, are generally under-represented in health surveys [21].”
BackgroundSelf-citationMyrstad, M., Løchen, M., Graff‐Iversen, S., Gulsvik, A. K., Thelle, D. S., Stigum, H., & Ranhoff, A. H. (2013) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.12150 · Cited by 114
“In population-based studies, the proportions of people with ethnic minority background (Christensen et al., 2012) and with poor health status (Knudsen et al., 2010) tend to be larger among non-responders than among responders and this trend tends to counteract selection bias in our study.”
BackgroundAdversity, cannabis use and psychotic experiences: evidence of cumulative and synergistic effects
Morgan, C., Reininghaus, U., Reichenberg, A., Frissa, S., SELCoH study team, Hotopf, M., & Hatch, S. L. (2014) · British Journal of Psychiatry · doi:10.1192/bjp.bp.113.134452 · Cited by 113
Self-citationShift Work Disorder in a Random Population Sample – Prevalence and Comorbidities
Milia, L. V. D., Waage, S., Pallesen, S., & Bjorvatn, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055306 · Cited by 116
Indicators of mental disorders in UK Biobank—A comparison of approaches
Davis, K. A. S., Cullen, B., Adams, M., Brailean, A., Breen, G., Coleman, J. R. I., Dregan, A., Gaspar, H. A., Hübel, C., Lee, W., et al. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1796 · Cited by 111
Self-citationDoes attrition affect estimates of association: A longitudinal study
Saiepour, N., Najman, J. M., Ware, R. S., Baker, P., Clavarino, A. M., & Williams, G. M. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.12.022 · Cited by 105
Secular Trends in Depressive Symptoms Among Norwegian Adolescents from 1992 to 2010
von Soest, T., & Wichstrøm, L. (2013) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-013-9785-1 · Cited by 113
Eating disorders in a multi-ethnic inner-city UK sample: prevalence, comorbidity and service use
Solmi, F., Hotopf, M. H., Hatch, S. L., Treasure, J. L., & Micali, N. (2015) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-015-1146-7 · Cited by 96
Self-citationSkogen, J. C., Sivertsen, B., Lundervold, A. J., Stormark, K. M., Jakobsen, R., & Hysing, M. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005357 · Cited by 95
“This nonparticipation bias is, however, not likely to reduce the associations of interest substantially.(47) Finally, the assessment of illicit drugs does not indicate the type of drug tried and its frequency, thus limiting conclusions drawn according to the relation between mental health and more specific drugs or co…”
BackgroundSelf-citationSivertsen, B., Nielsen, M. B., Madsen, I. E. H., Knapstad, M., Lønning, K. J., & Hysing, M. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-026993 · Cited by 92
Scott, H. R., Stevelink, S. A. M., Gafoor, R., Lamb, D., Carr, E., Bakolis, I., Bhundia, R., Docherty, M. J., Dorrington, S., Gnanapragasam, S., et al. (2022) · The Lancet Psychiatry · doi:10.1016/s2215-0366(22)00375-3 · Cited by 91
Self-citationThe costs of chronic pain—Long‐term estimates
Stubhaug, A., Hansen, J. L., Hallberg, S., Gustavsson, A., Eggen, A. E., & Nielsen, C. S. (2024) · European Journal of Pain · doi:10.1002/ejp.2234 · Cited by 101
“…rates in Tromsø6 and HUNT3 are high (Galea & Tracy, 2007) (66% and 54%, respectively) and studies of non-responders in Norwegian population surveys (Knudsen et al., 2010; Langhammer et al., 2012) have found that non-participants have a lower socioeconomic status and are more female indicating we…”
BackgroundPrevalence and age patterns of depression in the United Kingdom. A population-based study
Arias de la Torre, J., Vilagut, G., Ronaldson, A., Dregan, A., Ricci-Cabello, I., Hatch, S. L., Serrano-Blanco, A., Valderas, J. M., Hotopf, M., & Alonso, J. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.09.129 · Cited by 92
Self-citationTolonen, H. K., Ahonen, S., Jentoft, S., Kuulasmaa, K., Heldal, J., & for the European Health Examination Pilot Project (2015) · Scandinavian Journal of Public Health · doi:10.1177/1403494814565692 · Cited by 85
Verhoog, S., Dopmeijer, J. M., de Jonge, J. M., der Heijde, C. M. V., Vonk, P., Bovens, R. H. L. M., de Boer, M. R., Hoekstra, T., Kunst, A. E., Wiers, R. W. H. J., et al. (2019) · European Addiction Research · doi:10.1159/000503342 · Cited by 85
Haukenes, I., Mykletun, A., Knudsen, A. K., Hansen, H., & Mæland, J. G. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-406 · Cited by 80
“A previous study of the HUSK population also found poorer health status among non-participants in the health survey, which may further increase the healthy worker selection effect [33].”
Self-citationThe reproducibility of self-reported age at menarche: The Tromsø Study
Lundblad, M. W., & Jacobsen, B. K. (2017) · BMC Women s Health · doi:10.1186/s12905-017-0420-0 · Cited by 83
“We have included all women who answered age at menarche in Tromsø 3 and Tromsø 4, and although attendees to population surveys differ from nonattenders [32, 40, 41], there is no reason to assume that the reproducibility of information concerning age at me-”
BackgroundHarvey, S. B., Deady, M., Wang, M., Mykletun, A., Butterworth, P., Christensen, H., & Mitchell, P. B. (2017) · Medical Journal of Australia · doi:10.5694/mja16.00295 · Cited by 79
Self-citationIversen, B., Jacobsen, B. K., & Løchen, M. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9785-z · Cited by 79
“We have previously reported lower mortality in attendees to the Tromsø 4 survey according to attendance to previous surveys they were invited to [10] and similar studies conducted in Norway have demonstrated higher morbidity and mortality in non-attenders than in subjects who took part in the surveys [17, 18].”
BackgroundSæther, S. M. M., Knapstad, M., Askeland, K. G., & Skogen, J. C. (2019) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2019.100216 · Cited by 79
Self-citationHärkänen, T., Karvanen, J., Tolonen, H. K., Lehtonen, R., Djerf, K., Juntunen, T., & Koskinen, S. V. P. (2016) · Journal of Applied Statistics · doi:10.1080/02664763.2016.1144725 · Cited by 78
“if HCDi = k, Stratumi = s, Age1i ∈ [18, 29) (3)”
BackgroundInfluentialSkogen, J. C., Hjetland, G. J., Bøe, T., Hella, R. T., & Knudsen, A. K. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18063319 · Cited by 73
“However, several studies have indicated that low participation rate is more detrimental to prevalence estimates than estimates related to associations between variables [52].”
BackgroundSelf-citationSex-differences in reasons for non-participation at recruitment: Geelong Osteoporosis Study
Markanday, S., Brennan-Olsen, S. L., Gould, H., & Pasco, J. A. (2013) · BMC Research Notes · doi:10.1186/1756-0500-6-104 · Cited by 73
“Our observation that men had an increased propensity to decline participation compared to women, is consistent with other studies [6,7].”
Lolland-Falster Health Study: Study protocol for a household-based prospective cohort study
Jepsen, R., Egholm, C. L., Brodersen, J., Simonsen, E. H., Grarup, J., Cyron, A., Ellervik, C., & Rasmussen, K. (2018) · Scandinavian Journal of Public Health · doi:10.1177/1403494818799613 · Cited by 71
“[34] knudsen Ak, hotopf M, skogen JC, et al.”
BackgroundDorrington, S., Zavos, H. M. S., Ball, H. A., McGuffin, P., Rijsdijk, F. V., Siribaddana, S., Sumathipala, A., & Hotopf, M. H. (2014) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.113.141796 · Cited by 70
Self-citationBrooker, K., van Dooren, K., Tseng, C.-H., McPherson, L., Lennox, N., & Ware, R. S. (2014) · Perspectives in Public Health · doi:10.1177/1757913914552583 · Cited by 69
Aas, R. W., Haveraaen, L. A., Sagvaag, H., & Thørrisen, M. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186503 · Cited by 68
Marees, A. T., Smit, D. J. A., Ong, J., MacGregor, S., An, J., Denys, D. A. J. P., Vorspan, F., van den Brink, W., & Derks, E. M. (2019) · Psychological Medicine · doi:10.1017/s0033291719000357 · Cited by 64
“…studies have indicated that the UK Biobank sample is healthier than the general population, suggesting that selection or selection bias may have had some impact on our findings regarding SES, education, and mental health traits (Knudsen et al ., 2010; Fry et al ., 2017; Davis et al ., 2018).”
Gorman, E., Leyland, A. H., McCartney, G., White, I. R., Katikireddi, S. V., Rutherford, L., Graham, L., & Gray, L. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu207 · Cited by 65
“behaviors, and a greater risk of experiencing associated disorders (12, 39).”
BackgroundHepgul, N., King, S., Amarasinghe, M., Breen, G., Grant, N., Grey, N., Hotopf, M., Moran, P., Pariante, C. M., Tylee, A., et al. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0736-6 · Cited by 64
Self-citationTorvik, F. A., Rognmo, K., Ask, H., Røysamb, E., & Tambs, K. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-706 · Cited by 64
“Although people who are struggling with many problems at once, or with very severe problems, seem to be underrepresented in population surveys [56], alcohol use only moderately predicts non-participation in the HUNT study [57].”
BackgroundKim, J. I., Sillah, A., Boucher, J. L., Sidebottom, A. C., & Knickelbine, T. (2013) · Journal of the American Heart Association · doi:10.1161/jaha.113.000058 · Cited by 64
Maternal serum concentrations of perfluoroalkyl substances and birth size in British boys
Marks, K. J., Cutler, A. J., Jeddy, Z., Northstone, K., Kato, K., & Hartman, T. J. (2019) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2019.03.008 · Cited by 60
“Generally, nonparticipation and loss to follow-up tends to be more pronounced among the less advantaged and less healthy (Barchielli and Balzi, 2002; Goldberg et al., 2001; Heilbrun et al., 1982; Knudsen et al., 2010; Reilly and Kelly, 2011; Strandberg et al., 1995; Strandhagen et al., 2010; Wilhelmsen et al., 1976).”
BackgroundGrotmol, K. S., Gude, T., Moum, T., Vaglum, P., & Tyssen, R. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.08.047 · Cited by 59
“Although some researchers have found that people with mental health problems participate in longitudinal studies to a lesser extent than healthy subjects (Knudsen et al., 2010), attrition has a stronger influence on prevalence estimates than on estimates of the associations between variables.”
BackgroundPhysical exercise and chronic pain in university students
Grasdalsmoen, M., Engdahl, B., Fjeld, M. K., Steingrímsdóttir, Ó. A., Nielsen, C. S., Eriksen, H. R., Lønning, K. J., & Sivertsen, B. (2020) · PLoS ONE · doi:10.1371/journal.pone.0235419 · Cited by 61
“On the one hand, it has been shown that non-participants of health surveys in general have poorer health than participants [44].”
BackgroundHatch, S. L., Woodhead, C., Frissa, S., Fear, N. T., Verdecchia, M., Stewart, R., Reichenberg, A., Morgan, C., Bebbington, P., McManus, S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048012 · Cited by 57
“A study linking a Norwegian household survey with disability pension registry data illustrated that mental and substance use disorders were strongly associated with non-participation, and conventional surveys may under-estimate prevalence of mental disorder [31].”
BackgroundResultSelf-citationJob Strain, Health and Sickness Absence: Results from the Hordaland Health Study
Wang, M., Mykletun, A., Møyner, E. I., Øverland, S. N., Henderson, M., Stansfeld, S. A., Hotopf, M. H., & Harvey, S. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096025 · Cited by 62
“Secondly, although the participation rate was acceptable, previous studies using the HUSK dataset have reported higher non-participation rates amongst individuals with mental disorders [51].”
ResultSelf-citationMilia, L. V. D., Vandelanotte, C., & Duncan, M. J. (2013) · Sleep Medicine · doi:10.1016/j.sleep.2012.12.007 · Cited by 56
Johnsen, M. T., Wynn, R., & Bratlid, T. (2012) · BMC Psychiatry · doi:10.1186/1471-244x-12-225 · Cited by 56
“found that the risk of being a recipient of disability pension for mental disorders was three times higher among non-attendees [32].”
BackgroundSkogen, J. C., Øverland, S. N., Smith, O. R. F., & Aarø, L. E. (2017) · Scandinavian Journal of Public Health · doi:10.1177/1403494817700287 · Cited by 55
“[29] Knudsen AK, Hotopf M, Skogen JC, et al.”
BackgroundResultSelf-citationAschan, L., Goodwin, L., Cross, S., Moran, P., Hotopf, M. H., & Hatch, S. L. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.04.037 · Cited by 54
“However, a recent simulation study illustrated that whilst persons with mental health problems are less likely to participate in surveys, selection bias may be less influential in studies estimating associations between exposures and outcomes (Knudsen et al., 2010).”
BackgroundSelf-citationHealth-related quality of life in osteoarthritis patients: a systematic review and meta-analysis
Yan, H., Guo, J., Zhou, W., Dong, C., & Liu, J. L. (2021) · Psychology Health & Medicine · doi:10.1080/13548506.2021.1971725 · Cited by 53
“Smaller sample sizes may represent convenience sampling methods, which may be representative of a healthier population (Knudsen et al., 2010).”
BackgroundVo, C. Q., Samuelsen, P., Sommerseth, H. L., Wisløff, T. F., Wilsgaard, T., & Eggen, A. E. (2023) · BMC Public Health · doi:10.1186/s12889-023-15928-w · Cited by 55
Ramsey, I., de Rooij, B. H., Mols, F., Corsini, N., Horevoorts, N. J. E., Eckert, M. C., & van de Poll-Franse, L. V. (2019) · Journal of Cancer Survivorship · doi:10.1007/s11764-019-00793-7 · Cited by 53
Hjetland, G. J., Finserås, T. R., Sivertsen, B., Colman, I., Hella, R. T., & Skogen, J. C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191711133 · Cited by 69
“However, associations are less vulnerable to bias caused by low participation rates than prevalence [103], and the associations between class membership and covariates may be considered valid despite a relatively low participation rate.”
BackgroundSelf-citationSivertsen, B., Knapstad, M., Petrie, K., O’Connor, R., Lønning, K. J., & Hysing, M. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-057492 · Cited by 49
Milligan-Saville, J. S., Choi, I., Deady, M., Scott, P., Tan, L., Calvo, R. A., Bryant, R. A., Glozier, N., & Harvey, S. B. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.06.058 · Cited by 51
Lundblad, M. W., Andersen, L. F., Jacobsen, B. K., Carlsen, M. H., Hjartåker, A., Grimsgaard, S., & Hopstock, L. A. (2019) · Food & Nutrition Research · doi:10.29219/fnr.v63.3616 · Cited by 48
Mental health and wellbeing in spouses of persons with dementia: the Nord-Trøndelag health study
Ask, H., Langballe, E. M., Holmen, J., Selbæk, G., Saltvedt, I. T., & Tambs, K. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-413 · Cited by 49
“People that are struggling with severe problems tend to be underrepresented in population surveys [63].”
BackgroundJacobsen, B. K., & Aars, N. A. (2015) · BMJ Open · doi:10.1136/bmjopen-2015-007859 · Cited by 45
“Results from very similar surveys conducted in Norway indicate that those who did not participate had higher level of some chronic health problems, higher mortality and prevalence of disability pension and lower socioeconomic status than participants did.(26) 28 Selective attrition may introduce bias in the longitudin…”
ResultWidespread pain and medically certified disability pension in the H ordaland H ealth S tudy
Øverland, S. N., Harvey, S. B., Knudsen, A. K., Mykletun, A., & Hotopf, M. H. (2011) · European Journal of Pain · doi:10.1016/j.ejpain.2011.08.005 · Cited by 46
“Common mental disorders like anxiety, depression and insomnia also predict disability pensions (Knudsen et al., 2010b; Mykletun et al., 2006; Overland et al., 2008; Sivertsen et al., 2009).”
BackgroundSelf-citationSivertsen, B., Øverland, S. N., Krokstad, S., & Mykletun, A. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr052 · Cited by 44
Self-citationØstby, K. A., Ørstavik, R., Knudsen, A. K., Reichborn‐Kjennerud, T., & Mykletun, A. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-12 · Cited by 45
“Studies of non-participants in public health studies have shown that the probability of non-responding is greater for those with less education, older age, poorer health status, and for those on a disability pension [32-34].”
BackgroundSelf-citationOerbeck, B., Øvergaard, K. R., Aspenes, S. T., Pripp, A. H., Mørdre, M., Aase, H., Reichborn‐Kjennerud, T., & Zeiner, P. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1204-7 · Cited by 45
“This is in accordance with studies reporting that the frequency of clinical ADHD is elevated in socio-economically disadvantaged groups [55, 56] with more family problems [57, 58] and that socio-economic disadvantages may be a barrier to participation in studies [29, 30].”
BackgroundResultSivertsen, B., Knudsen, A. K., Kirkøen, B., Skogen, J. C., Lagerstrøm, B. O., Lønning, K.-J., Kessler, R. C., & Reneflot, A. (2023) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2023.100732 · Cited by 49
“While it has been shown that non-participants of health surveys generally have worse health than participants, 48 people may also be more prone to participate in a survey if the topic seems relevant to them personally.”
BackgroundSelf-citationYoung people's overestimation of peer substance use: an exaggerated phenomenon?
Pape, H. (2012) · Addiction · doi:10.1111/j.1360-0443.2011.03680.x · Cited by 44
Eggen, A. E., Mathiesen, E. B., Wilsgaard, T., Jacobsen, B. K., & Njølstad, I. (2014) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2013-203428 · Cited by 44
Hansen, A. H., & Kristoffersen, A. E. (2016) · BMC Complementary and Alternative Medicine · doi:10.1186/s12906-016-1446-9 · Cited by 44
“However, this applies particularly to serious psychiatric morbidity [20, 46].”
BackgroundHiestand, S., Forthun, I., Waage, S., Pallesen, S., & Bjorvatn, B. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282734 · Cited by 45
“Nonetheless, as nonparticipation is often associated with poorer health [67], it is unlikely that the prevalence of excessive fatigue in the cohort was inflated due to differences between responders and non-responders.”
BackgroundAdult ADHD Symptoms and Satisfaction With Life: Does Age and Sex Matter?
Oerbeck, B., Øvergaard, K. R., Pripp, A. H., Aase, H., Reichborn‐Kjennerud, T., & Zeiner, P. (2015) · Journal of Attention Disorders · doi:10.1177/1087054715612257 · Cited by 43
Berge, L. I., Riise, T., Tell, G. S., Iversen, M. M., Østbye, T., Lund, A., & Knudsen, A. K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127161 · Cited by 44
“Further, persons with severe psychiatric or somatic diseases are less likely to participate in health surveys [22], in particular, a higher prevalence of diabetes and psychiatric disorders was found among non-participants relative to participants in a large population based Norwegian study [23].”
Self-citationPersonality disorder and self-rated health: a population-based cross-sectional survey
Fok, M., Hotopf, M., Stewart, R., Hatch, S., Hayes, R., & Moran, P. (2014) · Journal of Personality Disorders · doi:10.1521/pedi_2013_27_119 · Cited by 42
Self-citationSkogen, J. C., Bøe, T., Finserås, T. R., Sivertsen, B., Hella, R. T., & Hjetland, G. J. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.873463 · Cited by 50
Self-citationNordløkken, A., Pape, H., Wentzel‐Larsen, T., & Heir, T. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-58 · Cited by 41
“It is true that some studies indicate that there is a positive correlation [37-39], but the research on non-response bias in relation to drinking is meager, and the findings have been mixed [40].”
ResultBerge, L. I., Skogen, J. C., Sulo, G., Igland, J., Wilhelmsen, I., Vollset, S. E., Tell, G. S., & Knudsen, A. K. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012914 · Cited by 45
“A previous study of the HUSK population showed higher risk of being awarded disability pension for neurotic, stressrelated or somatoform disorders as well as for diseases in the circulatory system among nonparticipants.(27) In general, non-participation represents a greater threat to the validity of results from studi…”
BackgroundSelf-citationGroop, P., Thomas, M. C., Feodoroff, M., Forsblom, C. M., & Harjutsalo, V. (2018) · Diabetes Care · doi:10.2337/dc17-1618 · Cited by 40
Sivertsen, B., Harvey, A. G., Gradisar, M., Pallesen, S., & Hysing, M. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.09.028 · Cited by 43
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review