Skip to main content
Sage Choice logoLink to Sage Choice
. 2022 Sep 14;50(7):968–971. doi: 10.1177/14034948221102309

HUNT for better public health

Steinar Krokstad 1,2,, Erik R Sund 1,2, Kirsti Kvaløy 1,2, Vegar Rangul 1,3, Marit Næss 1,2
PMCID: PMC9578099  PMID: 36113104

Abstract

Aims:

The Trøndelag Health Study (HUNT) has collected population data through comprehensive decennial surveys over the last four decades and has so far collected data from 240,000 participants. The participants are identified with the unique Norwegian birth number, which enables them to be followed throughout different life stages, from survey to survey, and to endpoint measures in Norwegian national health registers without attrition bias.

Methods:

The study design of HUNT offers several advantages: it provides an overview of the public health development in the population over decades, the data can be used in health services research, clinical epidemiology, studies of causation, trajectories, and consequences of diseases, and to study gene × environment interactions.

Results:

HUNT data have shown major shifts in public health trends, such as decreasing mean blood pressure and resting heart rate among adults, increasing prevalence of obesity, geographical and socioeconomic inequalities in health, increasing mental health distress among adolescents and young adults with an opposite development among the elderly. Data from HUNT have been used in several major international research projects, where data harmonization with several other population cohorts internationally has been done. HUNT has placed great emphasis on safeguarding research ethics, privacy, and data security. The Norwegian authorities established national regulations for the surveys from the time General Data Protection Regulation was introduced in 2018.

Conclusions:

Researchers can apply for HUNT data access from HUNT Research Centre provided they have obtained project approval from the Regional Committee for Medical and Health Research Ethics. Researchers not affiliated to a Norwegian research institution must collaborate with and apply through a Norwegian principal investigator. Information on the application and conditions for data access is available at www.ntnu.edu/hunt/data.

Keywords: Community surveys, public health, epidemiological methods, cohort studies, Norway

The HUNT Study

Along with the existence of SJPH (initiated in 1973), HUNT (The Trøndelag Health Study) has collected valuable population data through comprehensive surveys over four decades (Figure 1). The unique feature concerning HUNT is that all residents in the northern part of Trøndelag County are invited by mail to participate in the surveys for adults (20+ years) [1,2] and young people (13–19 years) [3]. The health examinations are decentralized and take place in field stations in all municipalities, middle schools and high schools in this region. The adult population (18+ years) of the southern part of the county was additionally invited in the last wave in a questionnaire survey. The participants are identified with the unique Norwegian birth number, which enables them to be followed throughout different life stages, from survey to survey, and to endpoint measures in Norwegian national health registers without attrition bias. Figure 1 shows that 18,896 adults participated in all four surveys. The surveys include questionnaires, interviews, clinical tests and collection of biological material (blood, urine, faeces, saliva). An overview of the data material is published by HUNT Databank online (www.hunt-db.medisin.ntnu.no/hunt-db/).

Figure 1.

Figure 1.

The HUNT surveys, time-periods, number of participants, number of participants attending two or more surveys, and attendance (%). Surveys conducted in the northern region, Nord-Trøndelag (NT): HUNT1 (1984–1986), HUNT2 (1995–1997), HUNT3 (2006–2008), HUNT4 (2017–2019), Young-HUNT1 (1995–1997), Young-HUNT3 (2006–2008), Young-HUNT4 (2017–2019). Young-HUNT2 was a follow-up of a subsample from Young-HUNT1 in 2000-2001 (not shown). Survey conducted in the southern region, Sør-Trøndelag (ST): HUNT4 (2017–2019).

yrs: years

The study design of HUNT offers several advantages: it provides an overview of the public health development in the population over decades, as the data show social, regional and local variations in health [4,5]. The data can be used in health services research [6,7], clinical epidemiology, studies of causation, trajectories and consequences of diseases, and to study gene × environment interactions. Studies of molecular mechanisms of disease have also been conducted [8]. Repeated measurements from adolescence to adulthood or from young adulthood to later adulthood offers multiple opportunities for longitudinal studies. HUNT participants with linkage to family data facilitate larger intergenerational studies of inheritance and the impact of nature versus nurture on selected traits and health-related relationships of interest. Finally, genetic data are now available on adult participants from HUNT2, 3 and 4, and enable us to better understand the genetic basis of diseases in the population [9].

Public health data

HUNT data have shown major shifts in public health trends, such as decreasing mean blood pressure and resting heart rate among adults [10,11], increasing prevalence of obesity [4,12,13], geographical and socioeconomic inequalities in obesity [4,13], increasing mental health distress among adolescents and young adults with an opposite development among the elderly [14], socioeconomic inequalities and trends in risk factors [15]. The potential for following and understanding trends in public health development is excellent with data from several decades. In the latest survey (HUNT4) we collected more objective data, for body composition (bioelectrical impedance analysis) and objective measures of physical activity and sedentary behaviour using accelerometers. These data and linking data to geographic information system data offer exciting opportunities in how our surroundings and environment affect lifestyle and thereby public health.

National, regional and local authorities have shown great interest in the data and the results provide a basis for public health policy, health-promoting and preventive efforts, and health services planning and strategies [5,16,17]. In addition to findings on a national level, the HUNT data have also been used in international studies. HUNT data have been used to calculate disease burden [18] as well as contribute to global initiatives concerning health trends [19]. Data from HUNT have been used in several major international research projects [1820], where data harmonization with several other population cohorts internationally has been an issue [19,21,22]. Thus, the HUNT Study is central to Nordic public health research. The Nordic countries are unique in a global context because the countries have developed strong public welfare schemes. Data from HUNT can shed light on these schemes’ significance for public health; disease, illness, sickness, health-related behaviour, quality of life, social and geographical health inequalities, in addition to following public health trends in a Nordic population compared with trends in other populations [23] or regime types internationally [13].

Ethics, privacy, data security

From the very beginning, HUNT has placed great emphasis on safeguarding research ethics, privacy [24] and data security by International Organization for Standardization certification of HUNT Databank/Biobank and HUNT Cloud. To ensure that HUNT and other valuable population-based health surveys can contribute to knowledge about the population’s health now and in the future, the Norwegian authorities established national regulations for the surveys from the time General Data Protection Regulation was introduced in 2018 (https://lovdata.no/dokument/LTI/forskrift/2018-04-27-645).

How can public health data be accessed by researchers?

Researchers affiliated to a Norwegian research institution can apply for HUNT data access from HUNT Research Centre (www.ntnu.edu/hunt) provided they have obtained project approval from the Regional Committee for Medical and Health Research Ethics. Researchers not affiliated to a Norwegian research institution must collaborate with and apply through a Norwegian principal investigator. Information on the application and conditions for data access is available at www.ntnu.edu/hunt/data.

Acknowledgments

The Trøndelag Health Study (HUNT) is a collaboration between HUNT Research Centre (Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology), Trøndelag County Council, Central Norway Regional Health Authority, and the Norwegian Institute of Public Health.

Footnotes

The authors have no conflicts of interest to declare.

Funding: The authors received no financial support for the research, authorship, and/or publication of this article.

References

  • 1]. Krokstad S, Langhammer A, Hveem K, et al. Cohort profile: The HUNT Study, Norway. Int J Epidemiol 2013;42:968-77. [DOI] [PubMed] [Google Scholar]
  • 2]. Åsvold BO, Langhammer A, Rehn TA, et al. Cohort profile update: The HUNT Study, Norway. medRxiv 2021:2021.10.12.21264858. [Google Scholar]
  • 3]. Holmen TL, Bratberg G, Krokstad S, et al. Cohort profile of the Young-HUNT Study, Norway: A population-based study of adolescents. Int J Epidemiol 2014;43:536-44. [DOI] [PubMed] [Google Scholar]
  • [4]. Krokstad S, Ernstsen L, Sund ER, et al. Social and spatial patterns of obesity diffusion over three decades in a Norwegian county population: The HUNT Study. BMC Public Health 2013;13:973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5]. Storeng SH, Krokstad S, Westin S, et al. Decennial trends and inequalities in healthy life expectancy: The HUNT Study, Norway. Scand J Public Health 2018;46:124-31. [DOI] [PubMed] [Google Scholar]
  • 6]. Skarshaug LJ, Kaspersen SL, Bjørngaard JH, et al. Changes in General Practitioners’ consultation frequency over time for patients with hypertension or anxiety/depression symptoms: A 10-year follow-up of the Norwegian HUNT study. Fam Pract 2020;37:248-54. [DOI] [PubMed] [Google Scholar]
  • 7]. Vikum E, Krokstad S, Westin S. Socioeconomic inequalities in health care utilisation in Norway: The population-based HUNT3 survey. Int J Equity Health 2012;11:48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8]. Nielsen JB, Thorolfsdottir RB, Fritsche LG, et al. Biobank-driven genomic discovery yields new insight into atrial fibrillation biology. Nat Genet 2018;50:1234-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9]. Brumpton BM, Graham SE, Surakka I, et al. Cohort profile: Genetic data in the HUNT Study, Norway. Cell Genom 2022. medRxiv 2021.12.23.21268305. (in press). [Google Scholar]
  • [10]. Holmen J, Holmen TL, Tverdal A, et al. Blood pressure changes during 22-year of follow-up in large general population – The HUNT Study, Norway. BMC Cardiovasc Disord 2016;16:94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11]. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in blood pressure from 1975 to 2015: A pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet 2017;389:37-55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12]. Midthjell K, Lee CM, Langhammer A, et al. Trends in overweight and obesity over 22 years in a large adult population: The HUNT Study, Norway. Clin Obes 2013;3:12-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13]. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet 2016;387:1377-96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14]. Krokstad S, Weiss DA, Krokstad M, et al. Paradoxical trends in mental health in the society and the root causes of increased mental health problems among young people. The HUNT Study, Norway. BMJ open 2022;12:e057654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15]. Ernstsen L, Strand BH, Nilsen SM, et al. Trends in absolute and relative educational inequalities in four modifiable ischaemic heart disease risk factors: Repeated cross-sectional surveys from the Nord-Trøndelag Health Study (HUNT) 1984–2008. BMC Public Health 2012;12:266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16]. Meld. St. 19. Folkehelsemeldingen. Mestring og muligheter. Helse- og omsorgsdepartementet. 2014–2015. Accessed June 26, 2022. https://www.regjeringen.no/no/dokumenter/meld.-st.-19-2014-2015/id2402807/?ch=1
  • [17]. Trøndelag fylkeskommune. Faktafredag - HUNT i Trøndelag - Andel som oppgir dårlig selvopplevd helse i kommunene. Accessed June 24, 2022. https://www.trondelagfylke.no/vare-tjenester/plan-og-areal/kart-statistikk-og-analyse/nyhetsarkiv-kart-og-statistikk/faktafredag---hunt-i-trondelag---andel-som-oppgir-darlig-selvopplevd-helse-i-kommunene/
  • [18]. Spjuth O, Krestyaninova M, Hastings J, et al. Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research. Eur J Hum Genet 2016;24:521-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19]. Wey TW, Doiron D, Wissa R, et al. Overview of retrospective data harmonisation in the MINDMAP project: Process and results. J Epidemiol Community Health 2021;75:433-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20]. Coenen P, Huysmans MA, Holtermann A, et al. Can socioeconomic health differences be explained by physical activity at work and during leisure time? Rationale and protocol of the active worker individual participant meta-analysis. BMJ Open 2018;8:e023379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21]. Ekelund U, Steene-Johannessen J, Brown WJ, et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet 2016;388:1302-10. [DOI] [PubMed] [Google Scholar]
  • 22]. Doiron D, Burton P, Marcon Y, et al. Data harmonization and federated analysis of population-based studies: The BioSHaRE project. Emerg Themes Epidemiol 2013;10:12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23]. Sundberg L, Agahi N, Wastesson JW, et al. Increasing inequalities in disability-free life expectancy among older adults in Sweden 2002–2014. Scand J Public Health. Published online December 29, 2021. doi:10.1177/14034948211062309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [24]. Ursin LO. Personal autonomy and informed consent. Med Health Care Philos 2009;12:17-24. [DOI] [PubMed] [Google Scholar]

Articles from Scandinavian Journal of Public Health are provided here courtesy of SAGE Publications

RESOURCES