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  1. 301
    “…MtSNPs were determined from peripheral blood by sequencing or with genome-wide association study SNP arrays in two independent Finnish cohorts, the Young Finns Study and the Finnish Cardiovascular Study, respectively. …”
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    Examining the effect of mitochondrial DNA variants on blood pressure in two Finnish cohorts
  2. 302
    “…METHODS: A population-based school survey was conducted biennially among 14–16-year-old Finns between 2000 and 2015 (n = 761,278). Distributions for any and frequent cannabis use over time according to socioeconomic adversities were calculated using crosstabs and chi-square test. …”
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    Changes in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015
  3. 303
    “…METHODS: This study leverages the data from two longitudinal population based cohort studies, the Cardiovascular Risk in Young Finns Study between years 1980–2011/2012 (YFS; N = 2,303; baseline age 3–18 years) and the Special Turku Coronary Risk Factor Intervention Project between years 1989–2009/2010 (STRIP; N = 632; baseline age 7 months). …”
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    Childhood exposure to parental smoking and life-course overweight and central obesity
  4. 304
    “…We used data from the Young Finns study (n=723) between 2001 and 2012. The direction of the predictive relationships was analyzed with cross-lagged panel models. …”
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    Rewards of Compassion: Dispositional Compassion Predicts Lower Job Strain and Effort-Reward Imbalance Over a 11-Year Follow-Up
  5. 305
    “…METHODS: The follow-up data (n = 11,804) was derived from a population-based random sample of working-age Finns from two waves (2003 and 2012) of the Health and Social Support (HeSSup) postal survey. …”
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    Longitudinal stability and interrelations between health behavior and subjective well-being in a follow-up of nine years
  6. 306
    “…, Cardiovascular Risk in Young Finns Study, The Bogalusa Heart Study, Coronary Artery Risk Development in Young Adults, Special Turku Coronary Risk Factor Intervention Project) from the United States and Finland from 1973 to 2012. …”
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    Influential Periods in Longitudinal Clinical Cardiovascular Health Scores
  7. 307
    “…DATA: The overview draws on results primarily from the cross-sectional Finnish Drinking Habits Survey (FDHS) in 2000, 2008 and 2016, and also from the whole series including altogether seven separate data collections carried out every eight years from 1968 to 2016 and mainly covering Finns aged 15–69 years. Response rates show a falling trend (78% in 2000, 74% in 2008 and 60% in 2016). …”
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    Change and continuity in Finnish drinking in the 21st century
  8. 308
    “…We identify 303 novel association signals, more than one third at variants rare or enriched in Finns. Many of these signals identify genes not previously implicated in metabolite genome-wide association studies and suggest mechanisms for diseases and disease-related traits.…”
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    Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci
  9. 309
    “…Herein, we quantified nuclear DNAm from blood and conducted a mitochondrial genome-wide association study of DNAm, with an additional emphasis on sex- and prediabetes-specific heterogeneity. We used the Young Finns Study (n = 926) with sequenced mtDNA genotypes as a discovery sample and sought replication in the Ludwigshafen Risk and Cardiovascular Health study (n = 2317). …”
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    Mitochondrial genome-wide analysis of nuclear DNA methylation quantitative trait loci
  10. 310
    “…METHODS: The dataset of 4961 individuals was composed of Northern Finns surveyed on MS pain, chronotypes and confounding factors (sex, insomnia, sleep duration, smoking, mental distress, occupational status, education level and number of coexisting diseases) at 46 years. …”
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    Chronotypes and disabling musculoskeletal pain: A Finnish birth cohort study
  11. 311
    “…This study examines the annual prevalence rate of GD between 2011 and 2020 among Finns by gender and age. Methods: Aggregated data on the diagnosis of GD (corresponding to pathological gambling, code F63.0 in the ICD-10) were retrieved from the following national registers: Register of Primary Health Care Visits, and Care Register for Health Care, including specialised outpatient and inpatient health care, and inpatient Care Register for Social Welfare. …”
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    Gender- and age-stratified analyses of gambling disorder in Finland between 2011 and 2020 based on administrative registers
  12. 312
    “…METHODS: The participants were from the Young Finns Study (N = 541–1273). Stress-related exhaustion was assessed using the Maastricht Questionnaire, depressive symptoms with the Beck Depression Inventory, and cognitive performance with subtests of the Cambridge Neuropsychological Test Automated Battery, measuring visuospatial learning, reaction time, sustained attention, and executive function. …”
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    Stress-Related Exhaustion, Polygenic Cognitive Potential, and Cognitive Test Performance – A General Population Study
  13. 313
    “…METHODS: Self-reported LTPA data, along with a range of family sociodemographic and health-related variables, were extracted from the ongoing Young Finns Study. The cohort consists of 2501 children aged 7–38 years, their parents, and grandparents in 2018. …”
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    O.2.1-10 Intergenerational leisure-time physical activity across three generations in Finland
  14. 314
    “…We further evaluated all coding variants in the candidate genes in a dataset of 18,786 BC patients and 182,927 controls from FinnGen. None of the variants associated significantly with cancer risk in the primary BC series; however, in the FinnGen data, NTHL1 c.244C>T p.…”
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    NTHL1 is a recessive cancer susceptibility gene
  15. 315
    “…CONCLUSIONS: The prevalence of obesity may be decreasing among 45-74 year old Finns. We still need a longer time perspective and future studies to see whether this favourable trend can be sustained in Finland. …”
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    Population-level effects of the national diabetes prevention programme (FIN-D2D) on the body weight, the waist circumference, and the prevalence of obesity
  16. 316
    “…They had lower prevalence of myopia compared to Finns. The stronger pigmentation of Skolt Samis is probably due to their origin from darker Eastern populations. …”
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    The international biological program/human adaptability studies among the Skolt Sami in Finland (1966–1970)
  17. 317
    “…METHODS: Self-administered questionnaires, including four questions on cyberbullying, were mailed to a representative sample of 12-, 14-, 16-, and 18-year-old Finns in 2009 (the Adolescent Health and Lifestyle Survey). …”
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    Cyberbullying among Finnish adolescents – a population-based study
  18. 318
    “…METHODS AND RESULTS: Prevalence of ideal CV health was assessed among 5785 young adults (age, 36.6±3.2 years) comprising 335 participants from the Minneapolis Childhood Cohort Studies (Minnesota), 723 from the Princeton Follow‐up Study, 981 from the Bogalusa Heart Study (BHS), 1898 from the Cardiovascular Risk in Young Finns Study (YFS), and 1848 from the Childhood Determinants of Adult Health Study (CDAH). …”
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    Ideal Cardiovascular Health in Young Adult Populations From the United States, Finland, and Australia and Its Association With cIMT: The International Childhood Cardiovascular Cohort Consortium
  19. 319
    “…A stratified, random sample of 10,000 Finns, 25 to 74 years-old, were sent a questionnaire and an invitation to a health examination. …”
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    Physical activity and sleep profiles in Finnish men and women
  20. 320
    “…Here we demonstrate the benefits of including chrX in GWAS by assessing the contribution of 404,862 chrX SNPs to levels of twelve commonly studied cardiometabolic and anthropometric traits in 19,697 Finnish and Swedish individuals with replication data on 5,032 additional Finns. By using a linear mixed model, we estimate that on average 2.6% of the additive genetic variance in these twelve traits is attributable to chrX, this being in proportion to the number of SNPs in the chromosome. …”
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    Chromosome X-Wide Association Study Identifies Loci for Fasting Insulin and Height and Evidence for Incomplete Dosage Compensation
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