Cohort Profile Update: The HUNT Study, Norway

Åsvold, Bjørn Olav; Rehn, Tommy Aune; Kjelvik, Grete; Grøntvedt, Trond Viggo; Sørgjerd, Elin Pettersen; Fenstad, Jørn; Heggland, Jon; Holmen, Oddgeir L.; Stuifbergen, Maria C; Vikjord, Sigrid Anna Aalberg; Brumpton, Ben; Skjellegrind, Håvard Kjesbu; Thingstad, Pernille; Sund, Erik R.; Selbæk, Geir; Mork, Paul Jarle; Rangul, Vegar; Hveem, Kristian; Næss, Marit; Krokstad, Steinar

doi:10.1093/ije/dyac095

Cited by 169 publications

(190 citation statements)

References 39 publications

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“…The Health Study of Trøndelag (The HUNT Study) is a health survey based on primarily the northern part of the Trøndelag County (23 municipalities) in central Norway ( 42 ) where all inhabitants 20 years and above have been invited in the adult part at the estimated time of survey participation. The study consists of four surveys where data have been collected every 11th year: HUNT1 (1984–86), HUNT2 (1995–97), HUNT3 (2006–08) and HUNT4 (2017–19).…”

Section: Methodsmentioning

confidence: 99%

Depression, anxiety, and psychosocial stressors across BMI classes: A Norwegian population study - The HUNT Study

et al. 2022

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BackgroundObesity is a global issue with detrimental health impacts. Recent research has highlighted the complexity of obesity due to its psychological correlates. The purpose of the present study was to explore the relationship between body mass index (BMI) and depression, anxiety, and psychosocial stress.MethodsData, including demographic, height, and weight information from 23 557 adult participants was obtained from the fourth survey of the Norwegian population based Trøndelag Health Study (HUNT4, 2017-2019). The Hospital Anxiety and Depression Scale (HADS) was used to measure self-reported depression and anxiety. We also collected data on 10 domains of psychosocial stress (violence, mental violence, unwanted sex, cyber bullying, school bullying, history of own life-threatening disease, life-threatening disease in family, relationship problems, divorce, and sudden family death), which were aggregated into a cumulative measure of psychosocial stress.ResultsMultinomial logistic regression was utilized for statistical analysis. In the full model, the relationship between depression, anxiety, and psychosocial stress were explored controlling for age, sex, income, marital status, and educational attainment. After adjustments, a significant relationship was found between depression and obesity I (OR = 1.05, 95% CI 1.03-1.06, p <.001) and II and III (OR = 1.10, 95% CI 1.06-1.14, p <.001). After the same adjustments, significant relationship between anxiety and overweight and obesity class I was found among elderly participants (≥65 years old). Psychosocial stress significantly and positively related to all levels of BMI, with or without considering anxiety and depression, after controlling for sex, age, educational attainment, marital status, and income in all age groups.ConclusionsObesity is a multifaceted health problem, significantly related to psychological factors including depression and psychosocial stress, which supports the need for a multifaceted, targeted approach to obesity treatment.

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Section: Methodsmentioning

confidence: 99%

Depression, anxiety, and psychosocial stressors across BMI classes: A Norwegian population study - The HUNT Study

et al. 2022

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“…The number of eligible adults in the county for the study has changed over time, and the presented number of participants with participation rates (in %) is for the data collection point. The population in HUNT is considered representative of general Norwegian adults and is ethnically homogenous with low migration [ 45 ]. All HUNT participants gave their written consent for research on their data.…”

Section: Methodsmentioning

confidence: 99%

Associations of Cardiovascular Agents and Metformin with Depression Symptoms: A Cross-Sectional Analysis from the HUNT Study, Norway

Bojanić

Bjerkeset

Williams

et al. 2022

Drugs - Real World Outcomes

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Background Cardiovascular agents, including angiotensin-converting enzyme inhibitors, angiotensin II receptor inhibitors, acetylsalicylic acid, statins, and metformin, have demonstrated benefits for depression. However, there is scant evaluation of these drugs' antidepressant properties in large population settings. Objective This study aimed to examine cross-sectional associations between depression symptoms and the use of cardiovascular agents and metformin in populations with cardiovascular diseases or diabetes mellitus. Methods Participants in the Trøndelag Health Study 2006-08 (HUNT3, n = 40,516) and 2017-19 (HUNT4, n = 42,103) were included and data on their drug use from 2006 to 2019 was retrieved from the Norwegian Prescription Database. The outcome was self-reported depression symptoms defined by the Hospital Anxiety and Depression Scale. Associations between cardiovascular agents or metformin use and self-reported depression were analyzed by multi-level logistic regression in sex-stratified samples. Results Among men with cardiovascular diseases, use of acetylsalicylic acid was associated with reduced depression symptoms compared with acetylsalicylic acid non-users (reference) in HUNT3 and HUNT4 [risk ratio = 0.76; 95% confidence interval 0.59-0.94, risk ratio = 0.67; 95% CI 0.52-0.82, respectively]. Similarly, male statin users had a lower likelihood of reporting depression than statin non-users in HUNT3 (risk ratio = 0.70; 95% confidence interval 0.54-0.86) and HUNT4 (risk ratio = 0.67; 95% confidence interval 0.51-0.84). Associations between statins or acetylsalicylic acid use and reduced depression symptoms were detected in women with cardiovascular diseases in HUNT4. We found no statistical support for associations between other cardiovascular agents or metformin use and a reduced or increased depression symptom risk. Conclusions Results suggest negative associations between acetylsalicylic acid or statin use and depression symptoms. However, longitudinal cohort studies and randomized controlled trials are required to confirm the antidepressant effects of these drugs.

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“…The HUNT study is a population based longitudinal study inviting all adult (age ≥ 20) inhabitants of Nord-Trndelag county in Norway to health related questionnaires and clinical measurements in four 11-year time intervals, ranging from 1984 until 2019 [18, 19]. The first study in 1984 (HUNT1) had a participation rate at 89.4% of the inhabitants of Nord-Trndelag.…”

Section: Methodsmentioning

confidence: 99%

“…The aim is to validate the findings of genetically linked diseases from the UKBB based disease network with actual co-occurrences from a different study population, the Trndelag Health Study (HUNT) participants. The HUNT-study is one of the longest longitudinal population studies, covering up to ∼ 90% of the adult population in Nord-Trndelag, Norway from 1984 until 2019 [18, 19]. Matching these participants with EHR and the cause of death registry, we have an almost complete health record history of 90, 103 participants diagnosed with one or multiple of the diagnoses from the UKBB PheWas summary, from August 1987 until June 2017.…”

Section: Introductionmentioning

confidence: 99%

Phenome-wide association network demonstrates close connection with individual disease trajectories from the HUNT study

Hall

Skinderhaug

Almaas

2022

Preprint

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BackgroundDisease networks offer a potential road map of connections between diseases. Several studies have created disease networks where diseases are connected either based on shared genes or Single Nucleotide Polymorphisms (SNP) associations. However, it is still unclear to which degree SNP-based networks map to empirical co-observed diseases within a different, general, adult study population spanning over a long time period.MethodsWe create a SNP-based disease network (PheNet) from a large population using the UK biobank phenome-wide association studies. Importantly, the SNP-associations are adjusted for linkage disequilibrium, case/control imbalances, as well as relatedness. We map the PheNet on to significantly co-occurring diseases in the Norwegian HUNT study population, and further, identify consecutively occurring diseases with significant occurrence in the PheNet.ResultsWe find that the overlap between the networks are far larger than expected, where most diseases tend to link to diseases of the same category and some categories are more linked to each other than expected by chance. Considering the ordering of consecutively occurring diseases in the HUNT data, we find that many diabetic disorders and cardiovascular disorders are subsequent the diagnostication of obesity and overweight, and cardiovascular disorders that often tend to be observed subsequent to other diseases are associated with higher mortality rates.ConclusionsThe HUNT sub-PheNet showing both genetically and co-observed diseases offers an interesting framework to study groups of diseases and examine if they, in fact, are comorbidities and pinpoint exactly which mutation(s) that constitute shared cause of the diseases. This could be of great benefit to both researchers and clinicians studying relationships between diseases.

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Cohort Profile Update: The HUNT Study, Norway

Cited by 169 publications

References 39 publications

Depression, anxiety, and psychosocial stressors across BMI classes: A Norwegian population study - The HUNT Study

Depression, anxiety, and psychosocial stressors across BMI classes: A Norwegian population study - The HUNT Study

Associations of Cardiovascular Agents and Metformin with Depression Symptoms: A Cross-Sectional Analysis from the HUNT Study, Norway

Phenome-wide association network demonstrates close connection with individual disease trajectories from the HUNT study

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