Cited by 388Survey Methodology and NonresponseStatistical Methods in EpidemiologyGlobal Cancer Incidence and Screening

The HUNT study: participation is associated with survival and depends on socioeconomic status, diseases and symptoms

Open access
Langhammer, Arnulf, Krokstad, Steinar, Romundstad, Pål, Heggland, Jon, Holmen, Jostein·2012·BMC Medical Research Methodology

Abstract

BACKGROUND: Population based studies are important for prevalence, incidence and association studies, but their external validity might be threatened by decreasing participation rates. The 50 807 participants in the third survey of the HUNT Study (HUNT3, 2006-08), represented 54% of the invited, necessitating a nonparticipation study. METHODS: Questionnaire data from HUNT3 were compared with data collected from several sources: a short questionnaire to nonparticipants, anonymous data on specific diagnoses and prescribed medication extracted from randomly selected general practices, registry data from Statistics Norway on socioeconomic factors and mortality, and from the Norwegian Prescription Database on drug consumption. RESULTS: Participation rates for HUNT3 depended on age, sex and type of symptoms and diseases, but only small changes were found in the overall prevalence estimates when including data from 6922 nonparticipants. Among nonparticipants, the prevalences of cardiovascular diseases, diabetes mellitus and psychiatric disorders were higher both in nonparticipant data and data extracted from general practice, compared to that reported by participants, whilst the opposite pattern was found, at least among persons younger than 80 years, for urine incontinence, musculoskeletal pain and headache. Registry data showed that the nonparticipants had lower socioeconomic status and a higher mortality than participants. CONCLUSION: Nonparticipants had lower socioeconomic status, higher mortality and showed higher prevalences of several chronic diseases, whilst opposite patterns were found for common problems like musculoskeletal pain, urine incontinence and headache. The impact on associations should be analyzed for each diagnosis, and data making such analyses possible are provided in the present paper.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1471-2288-12-143

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Mental health may have played a role in attrition, with those experiencing anxiety or depression being less likely to participate.

    “Mental health may have played a role, with those experiencing anxiety or depression being less likely to participate [110].”

    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 [110]

    The Discussion section (‘Influence on incidence and prevalence estimates’; page unavailable) says depression appears to restrict participation more than anxiety. It reports higher anxiety-symptom prevalence among participants than the prevalence of anxiety diagnoses in the background population, while cautioning that these measures cannot be directly compared. Thus it supports a possible role for depression, but not the claim that people experiencing anxiety were also less likely to participate. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 38 · Cited by 388

Research works printed but not linked: 29

  1. Holmen J Midthjell K Forsen L Skjerve K Gorseth M Oseland A A health survey in Nord-Trondelag 1984-86 Participation and comparison of attendants and non-attendants. Tidsskr Nor Laegeforen 1990 110 15 1973 1977 2363169
  2. Holmen J Midthjell K Kruger O Langhammer A Holmen T Bratberg GH The Nord-Trøndelag Health Study 1995-97 (HUNT2): objectives, contents, methods and participation Norwegian Journal of Epidemiology 2003 13 1 19 32 Available from: http://www.ntnu.no/c/document_library/get_file?uuid=880d3372-dabc-404b-ba61-e1d27cb5bb09&groupId=10304
  3. Sogaard AJ Selmer R Bjertness E Thelle D The Oslo Health Study: the impact of self-selection in a large, population-based survey Int J Equity Health 2004 3 1 3 10.1186/1475-9276-3-3 15128460 PMC428581 · DOI
  4. Langhammer A Johnsen R Holmen J Gulsvik A Bjermer L Cigarette smoking gives more respiratory symptoms among women than among men. The Nord-Trondelag Health Study (HUNT) J Epidemiol Community Health 2000 54 12 917 922 10.1136/jech.54.12.917 11076988 PMC1731608 · DOI
  5. Jacobsen BK Eggen AE Mathiesen EB Wilsgaard T Njolstad I Cohort profile: the Tromso Study Int J Epidemiol 2012 Aug 41 4 961 7 10.1093/ije/dyr049 21422063 PMC3429870 · DOI
  6. Tambs K Ronning T Prescott CA Kendler KS Reichborn-Kjennerud T Torgersen S The Norwegian Institute of Public Health Twin Study of Mental Health: examining recruitment and attrition bias Twin Res Hum Genet 2009 12 2 158 168 10.1375/twin.12.2.158 19335186 PMC2743739 · DOI · Paper page
  7. Davis TC Holcombe RF Berkel HJ Pramanik S Divers SG Informed consent for clinical trials: a comparative study of standard versus simplified forms J Natl Cancer Inst 1998 90 9 668 674 10.1093/jnci/90.9.668 9586663 · DOI · Paper page
  8. Ross S Grant A Counsell C Gillespie W Russell I Prescott R Barriers to participation in randomised controlled trials: a systematic review J Clin Epidemiol 1999 52 12 1143 1156 10.1016/S0895-4356(99)00141-9 10580777 · DOI · Paper page
  9. Asch DA Jedrziewski MK Christakis NA Response rates to mail surveys published in medical journals J Clin Epidemiol 1997 50 10 1129 1136 10.1016/S0895-4356(97)00126-1 9368521 · DOI · Paper page
  10. Jacobsen BK Thelle DS The Tromso Heart Study: responders and non-responders to a health questionnaire, do they differ? Scand J Soc Med 1988 16 2 101 104 3387934
  11. Subar AF Ziegler RG Thompson FE Johnson CC Weissfeld JL Reding D Is shorter always better? Relative importance of questionnaire length and cognitive ease on response rates and data quality for two dietary questionnaires Am J Epidemiol 2001 153 4 404 409 10.1093/aje/153.4.404 11207159 · DOI
  12. Lund E Dumeaux V Braaten T Hjartaker A Engeset D Skeie G Cohort profile: the Norwegian Women and Cancer Study–NOWAC–Kvinner og kreft Int J Epidemiol 2008 37 1 36 41 17644530
  13. Jackson R Chambless LE Yang K Byrne T Watson R Folsom A Differences between respondents and nonrespondents in a multicenter community-based study vary by gender ethnicity. The Atherosclerosis Risk in Communities (ARIC) study investigators J Clin Epidemiol 1996 49 12 1441 1446 10.1016/0895-4356(95)00047-X 8970495 · DOI
  14. Korkeila K Suominen S Ahvenainen J Ojanlatva A Rautava P Helenius H Non-response and related factors in a nation-wide health survey Eur J Epidemiol 2001 17 11 991 999 10.1023/A:1020016922473 12380710 · DOI
  15. Launer LJ Wind AW Deeg DJ Nonresponse pattern and bias in a community-based cross-sectional study of cognitive functioning among the elderly Am J Epidemiol 1994 139 8 803 812 8178793
  16. Kreiger N Nishri ED The effect of nonresponse on estimation of relative risk in a case–control study Ann Epidemiol 1997 7 3 194 199 10.1016/S1047-2797(97)00013-6 9141642 · DOI
  17. Shahar E Folsom AR Jackson R The effect of nonresponse on prevalence estimates for a referent population: insights from a population-based cohort study. Atherosclerosis Risk in Communities (ARIC) study investigators Ann Epidemiol 1996 6 6 498 506 10.1016/S1047-2797(96)00104-4 8978880 · DOI
  18. Eagan TM Eide GE Gulsvik A Bakke PS Nonresponse in a community cohort study: predictors and consequences for exposure-disease associations J Clin Epidemiol 2002 55 8 775 781 10.1016/S0895-4356(02)00431-6 12384191 · DOI
  19. Hansen V Jacobsen BK Arnesen E Prevalence of serious psychiatric morbidity in attenders and nonattenders to a health survey of a general population: the Tromso Health Study Am J Epidemiol 2001 154 10 891 894 10.1093/aje/154.10.891 11700242 · DOI
  20. Haapea M Miettunen J Laara E Joukamaa MI Jarvelin MR Isohanni MK Non-participation in a field survey with respect to psychiatric disorders Scand J Public Health 2008 36 7 728 736 10.1177/1403494808092250 18647788 · DOI
  21. Stang A Nonresponse research–an underdeveloped field in epidemiology Eur J Epidemiol 2003 18 10 929 931 14598921
  22. Bisgard KM Folsom AR Hong CP Sellers TA Mortality and cancer rates in nonrespondents to a prospective study of older women: 5-year follow-up Am J Epidemiol 1994 139 10 990 1000 8178787
  23. Drivsholm T Eplov LF Davidsen M Jorgensen T Ibsen H Hollnagel H Representativeness in population-based studies: a detailed description of non-response in a Danish cohort study Scand J Public Health 2006 34 6 623 631 10.1080/14034940600607616 17132596 · DOI
  24. Hayes AJ Clarke PM Lung TW Change in bias in self-reported body mass index in Australia between 1995 and 2008 and the evaluation of correction equations Popul Health Metr 2011 9 53 10.1186/1478-7954-9-53 21943041 PMC3189874 · DOI
  25. Burg JA Allred SL Sapp JH The potential for bias due to attrition in the national exposure registry: an examination of reasons for nonresponse, nonrespondent characteristics, and the response rate Toxicol Ind Health 1997 13 1 1 13 9098946
  26. Lahkola A Salminen T Auvinen A Selection bias due to differential participation in a case–control study of mobile phone use and brain tumors Ann Epidemiol 2005 15 5 321 325 10.1016/j.annepidem.2004.12.009 15840544 · DOI
  27. Herr CE Zur Nieden A Jankofsky M Stilianakis NI Boedeker RH Eikmann TF Effects of bioaerosol polluted outdoor air on airways of residents: a cross sectional study Occup Environ Med 2003 60 5 336 342 10.1136/oem.60.5.336 12709518 PMC1740528 · DOI
  28. Ferrie JE Kivimaki M Singh-Manoux A Shortt A Martikainen P Head J Non-response to baseline, non-response to follow-up and mortality in the Whitehall II cohort Int J Epidemiol 2009 38 3 831 837 10.1093/ije/dyp153 19264846 PMC2722814 · DOI
  29. Harald K Salomaa V Jousilahti P Koskinen S Vartiainen E Non-participation and mortality in different socioeconomic groups: the FINRISK population surveys in 1972-92 J Epidemiol Community Health 2007 61 5 449 454 10.1136/jech.2006.049908 17435214 PMC2465683 · DOI

Authors
Langhammer, A., Krokstad, S., Romundstad, P., Heggland, J., & Holmen, J.
Affiliations
Norwegian University of Science and Technology (NO)
Corresponding author
Langhammer, Arnulf
Venue
BMC Medical Research Methodology
Published
2012-09-14
Volume
12
Issue
1
Pages
143-143
ISSN
1471-2288 (ISSN-L)
OpenAlex
W1971823413
Cited by
388
References
38
Citations by year
2026: 14 · 2025: 17 · 2024: 45 · 2023: 28 · 2022: 28 · 2021: 25 · 2020: 30 · 2019: 30 · 2018: 34 · 2017: 29 · 2016: 38 · 2015: 31 · 2014: 20 · 2013: 17
FWCI
71.73
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Research Methodology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
Funders
  • Norges Teknisk-Naturvitenskapelige Universitet
  • Norwegian Institute of Public Health
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Keywords
HUNT study, non-participation, study participation rates, generalizability, socioeconomic status, mortality, cardiovascular disease, diabetes mellitus, mental illness, musculoskeletal pain, headache, urinary incontinence, prevalence estimates
MeSH terms
Adult, Aged, 80 and over, Anthropometry, Female, Heart Diseases, Humans, Life Style, Male, Middle Aged, Norway, Patient Participation, Quality of Life, Surveys and Questionnaires, Social Class, Prevalence, Survival Analysis, Age Distribution, Sex Distribution

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