Search

Background and Aims: This is the first nation-wide register study based on a total population sample measuring the gender-specific incidences of chronic diseases and conditions among adults diagnosed with gambling disorder (GD)., Design, Setting and Participants: The study used aggregated data for 2011-22 retrieved from the Register of Primary Health Care visits, Care Register for Health Care and Care Register for Social Welfare, including specialized outpatient and inpatient health care, inpatient social care and institutional care and housing services with 24-hour or part-time assistance, set in mainland Finland. Participants comprised people aged 18-90+ years with GD diagnosis [corresponding to pathological gambling, International Classification of Diseases 10th revision (ICD-10) code F63.0, n = 3605; men n = 2574, women n = 1031] and the general population (n = 4 374 192)., Measurements: Incidences of somatic diseases and psychiatric disorders were calculated for the people with diagnosed GD and for the general population, separately for women and men., Findings: After standardizing for age, the incidence of each diagnostic group was systematically higher for people with GD compared with the general population, except for cancer. The highest standardized incidence ratio (SIR) values were for psychiatric disorders [SIR = 234.2; 95% confidence interval (CI) = 226.1-242.4], memory disorders (SIR = 172.1; 95% CI = 119.1-234.8), nervous system diseases (SIR = 162.8; 95% CI = 152.8-173.1), chronic respiratory diseases (SIR = 150.6; 95% CI = 137.6-164.2), diabetes (SIR = 141.4; 95% CI = 127.9-155.5) and digestive diseases (SIR = 134.5; 95% CI = 127.1-142.2)., Conclusions: In Finland, the incidence of chronic diseases and conditions among people with gambling disorder is higher compared with the general population, apart from cancer., (© 2024 The Author(s). Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Lower-risk Gambling Guidelines (LRGGs) were developed in Canada to reduce the risk of gambling-related harm. The LRGGs, published in 2021, consist of three limits: gamble no more than 1% of household income per month; gamble no more than four days per month; and avoid regularly gambling at more than two types of games. All three limits should be followed at the same time. This study focuses on the situation in Finland before the LRGGs were published. The aim of this study is to investigate trends in lower-risk gambling by age and net income among men and women in the Finnish adult population in 2011, 2015, and 2019. Data were drawn from cross-sectional Finnish Gambling population surveys, including permanent residents in Mainland Finland aged 15-74 with Finnish, Swedish or Sámi as their mother tongue (2011; n = 4,484, 2015; n = 4,515, and 2019; n = 3,994). The results showed an increase in the prevalence of lower-risk gambling, rising from 29% in 2011 to 39% in 2019. This upward trend was observed among both men and women, with the prevalence among men increasing from 23 to 33%, and among women from 34 to 45%. The lowest prevalence of lower-risk gambling was found among individuals aged 60-74, especially regarding expenditure guidelines, as well as among women in the lowest income tertile. In conclusion, although the prevalence of lower-risk gambling has increased in Finland, there is still potential for further improvement to minimize harm., (© 2024. The Author(s).)

Aims: To examine age-group and birth-cohort trends in perceived work ability in Finland in 2000-2020 and make projections of perceived work ability up to 2040 based on the observed birth-cohort development. Methods: Ten population-representative cross-sectional surveys conducted in Finland between 2000 and 2020 were used (overall N = 61,087, range 817-18,956). Self-reported estimates of current work ability in relation to the person's lifetime best on a scale from zero to ten (0-10) were classified into three groups: limited (0-5), intermediate (6-7), and good (8-10). Multiple imputation was used in projecting work ability. Results: Examining past trends by 5-year birth-cohorts born between 1961 and 1995 showed that work ability has declined steadily over time among older birth-cohorts, while in the two younger cohorts a stable development before 2017 and a steep decline between 2017 and 2020 was seen. Trends by 5-year age groups showed a declining trend of good work ability among 20-44-year-olds, a stable trend among 45-54-year-olds, and an improving trend among 55-year-olds and older was observed for the period 2000-2020. Among the under 55-year-olds the prevalence of good work ability ended up around 75% and at 68% among the 55-59-year-olds, 58% among the 60-69-year-olds and 49% among the 70-74-year-olds in 2020. Birth-cohort projections suggested a declining work ability in the future among all age groups included (30-74 years). By 2040, the prevalence of good work ability is projected to decline by 10 to 15 percentage points among 45-74-year-olds. Conclusions: The projections suggest declining work ability in the future. Efforts to counteract the decline in work ability are needed., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Aims: Atrial fibrillation (AF) is becoming increasingly common. Traditional cardiovascular risk factors (CVRF) do not explain all AF cases. Blood-based biomarkers reflecting cardiac injury such as high-sensitivity troponin I (hsTnI) may help close this gap., Methods: We investigated the predictive ability of hsTnI for incident AF in 45,298 participants (median age 51.4 years, 45.0% men) across European community cohorts in comparison to CVRF and established biomarkers (C-reactive protein, N-terminal pro B-type natriuretic peptide)., Results: During a median follow-up of 7.7 years, 1734 (3.8%) participants developed AF. Those in the highest hsTnI quarter (≥4.2 ng/L) had a 3.91-fold (95% confidence interval (CI) 3.30, 4.63; p < .01) risk for developing AF compared to the lowest quarter (<1.4 ng/L). In multivariable-adjusted Cox proportional hazards models a statistically significant association was seen between hsTnI and AF (hazard ratio (HR) per 1 standard deviation (SD) increase in log10(hsTnI) 1.08; 95% CI 1.01, 1.16; p = .03). Inclusion of hsTnI did improve model discrimination (C-index CVRF 0.811 vs. C-index CVRF and hsTnI 0.813; p < .01). Higher hsTnI concentrations were associated with heart failure (HR per SD 1.37; 95% CI 1.12, 1.68; p < .01) and overall mortality (HR per SD 1.24; 95% CI 1.09, 1.41; p < .01)., Conclusion: hsTnI as a biomarker of myocardial injury does not improve prediction of AF incidence beyond classical CVRF and NT-proBNP. However, it is associated with the AF-related disease heart failure and mortality likely reflecting underlying subclinical cardiovascular impairment., (© 2023 The Authors. European Journal of Clinical Investigation published by John Wiley & Sons Ltd on behalf of Stichting European Society for Clinical Investigation Journal Foundation.)

Aims: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables., Methods and Results: In pooled European community cohorts (n = 42 280 individuals), 14 routinely available biomarkers mirroring distinct pathophysiological pathways including lipids, inflammation, renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) were examined in relation to incident AF using Cox regressions and distinct ML methods. Of 42 280 individuals (21 843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.7, 62.0] years), 1496 (3.5%) developed AF during a median follow-up time of 5.7 years. In multivariable-adjusted Cox-regression analysis, NT-proBNP was the strongest circulating predictor of incident AF [hazard ratio (HR) per standard deviation (SD), 1.93 (95% CI, 1.82-2.04); P < 0.001]. Further, hsTnI [HR per SD, 1.18 (95% CI, 1.13-1.22); P < 0.001], cystatin C [HR per SD, 1.16 (95% CI, 1.10-1.23); P < 0.001], and C-reactive protein [HR per SD, 1.08 (95% CI, 1.02-1.14); P = 0.012] correlated positively with incident AF. Applying various ML techniques, a high inter-method consistency of selected candidate variables was observed. NT-proBNP was identified as the blood-based marker with the highest predictive value for incident AF. Relevant clinical predictors were age, the use of antihypertensive medication, and body mass index., Conclusion: Using different variable selection procedures including ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF and ranked before classical cardiovascular risk factors. The clinical benefit of these findings for identifying at-risk individuals for targeted AF screening needs to be elucidated and tested prospectively., Competing Interests: Conflict of interest: R.B.S. has received lecture fees and advisory board fees from BMS/Pfizer outside the submitted work. B.T. receives project-related funding by the German Heart Foundation and Ernst und Berta Grimmke-Stiftung unrelated to the submitted work. V.S. reports an honorarium for consulting from Sanofi. He also has research collaboration with Bayer Ltd (all unrelated to the present study). T.N. reports speaker honoraria from Servier outside the submitted work. S.S. received honoraria from Actelion (now Janssen) outside the submitted work. Furthermore, S.S. is a member of the advisory board of Actelion (now Janssen) and of Novartis. I.K. has received research grants by the Heart Foundation in Northern Sweden and Arnerska Research Foundation, both unrelated to the present study. S.B. reports honoraria to his institution from Abbott, Bayer, Siemens, Singulex, and Roche, outside the submitted work. S.B. also reports personal fees from Abbott, Bayer, Siemens, Novartis, Thermo Fisher, Astra Zeneca, AMGEN, Medtronic, and Pfizer. S.Co. has received honoraria for lecturing from The Dutch Beer Institute foundation—The Brewers of Europe, outside the submitted work. S.Co. and A.D.C. are the PI and Co-PI, respectively, of a research grant from ERAB (the European Foundation for Alcohol Research, EA 1767, completed in January 2020), which is unrelated to the present study. G.d.G. is a member of the International Scientific Forum on Alcohol Research. The members of the Forum receive no financial support. The Forum itself receives no support from any other organization or company in the alcoholic beverage industry. G.d.G. was also a consultant to the Web Newsletter of Assobirra, the Italian Association of the Beer and Malt Industries and is a corresponding member of the non-profit Accademia Italiana della Vite e del Vino. G.d.G. reports personal fees for given lectures at the 8th European Beer and Health Symposium (2017), Beer and Health Initiative (The Dutch Beer Institute Foundation—The Brewers of Europe), outside the submitted work. All remaining authors have declared no conflicts of interest., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Based on data collected as part of the contact tracing activity of the City of Helsinki Epidemiological Operations Unit, we evaluated the efficacy and effectiveness of isolating SARS-CoV-2 cases and quarantining their exposed contacts during a mildly growing phase of the COVID-19 epidemic in Finland in autumn 2020. Based on the observed symptom-to-symptom intervals in 1016 pairs of primary and secondary cases, we estimated that without case isolation or quarantine 40[Formula: see text] (90[Formula: see text] credible interval, CI 25-59) of transmission would have occurred on the day of or after symptom onset. One third of SARS-CoV-2 cases (N = 1521) had initially been quarantined, with a self-reported time until isolation (quarantine) of 0.8 days before symptom onset. This delay translates into an efficacy of 50[Formula: see text] (90[Formula: see text] CI 40-63) of averting secondary infections per quarantined case. Due to later isolation (mean 2.6 days after symptoms), the efficacy was smaller (24[Formula: see text]; 90[Formula: see text] CI 12-41) in those two third of the cases (N = 3101) whose isolation was prompted by their symptoms, i.e. without being previously quarantined. At the population level, we evaluated the effectiveness of case isolation and quarantine on the growth rate of the COVID-19 epidemic in the autumn of 2020. Under a wide range of underlying assumptions, the rate would have been at least 2 times higher without case isolation and quarantine. The numbers needed to isolate or quarantine to prevent one secondary case were 2 and 20, respectively., (© 2023. The Author(s).)

The aim of this study was to examine the relationship between socio-demographic factors, gambling behaviour, and the level of gambling expenditure. The data were drawn from the population-based Gambling Harms Survey 2016 and 2017 conducted in Finland. The data were linked to register-based variables. Past-year gamblers were included (Wave 1; n = 5 805, both Waves; n = 2 165). The study showed that of the 4.2 % of gamblers that produced 50.0 % of the total GE in 2016, 33.1 % of the GE was produced by those with a gambling problem and 43.3 % by those with at-risk gambling pattern. Compared to gamblers in the lowest GE group, those in the highest GE group were more likely to be men, aged 25 or older, with upper secondary education, have a high income, be on disability pension or sickness allowance, be frequent gamblers, gambling at least six game types, and showing at-risk and problem gambling patterns. Cumulative weekly GE by income tertiles remained fairly stable between the years. The results suggest that GE is highly concentrated. Among the small group of high-intensity consumers, the majority of the revenue comes from at-risk and problem gambling. Participants in the low GE group differ from those in the intermediate and high GE groups in terms of socio-demographics and gambling behaviour., (© 2021. The Author(s).)

Background: Projections of the development of mobility limitations of older adults are needed for evidence-based policy making. The aim of this study was to generate projections of mobility limitations among older people in the United States, England, and Finland., Methods: We applied multiple imputation modelling with bootstrapping to generate projections of stair climbing and walking limitations until 2026. A physical activity intervention producing a beneficial effect on self-reported activities of daily living measures was identified in a comprehensive literature search and incorporated in the scenarios used in the projections. We utilised the harmonised longitudinal survey data from the Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project (N = 24,982)., Results: Based on the scenarios from 2012 to 2026, the prevalence of walking limitations will decrease from 9.4 to 6.4%. A physical activity intervention would decrease the prevalence of stair climbing limitations compared with no intervention from 28.9 to 18.9% between 2012 and 2026., Conclusions: A physical activity intervention implemented on older population seems to have a positive effect on maintaining mobility in the future. Our method provides an interesting option for generating projections by incorporating intervention-based scenarios., (© 2022. The Author(s).)

Background Although myocardial infarction (MI) and atrial fibrillation (AF) are frequent comorbidities and share common cardiovascular risk factors, the direction and strength of the association of the risk factors with disease onset, subsequent disease incidence, and mortality are not completely understood. Methods and Results In pooled multivariable Cox regression analyses, we examined temporal relations of disease onset and identified predictors of MI, AF, and all-cause mortality in 108 363 individuals (median age, 46.0 years; 48.2% men) free of MI and AF at baseline from 6 European population-based cohorts. During a maximum follow-up of 10.0 years, 3558 (3.3%) individuals were diagnosed exclusively with MI, 1922 (1.8%) with AF but no MI, and 491 (0.5%) individuals developed both MI and AF. Association of sex, systolic blood pressure, antihypertensive treatment, and diabetes appeared to be stronger with incident MI than with AF, whereas increasing age and body mass index showed a higher risk for incident AF. Total cholesterol and daily smoking were significantly related to incident MI but not AF. Combined population attributable fraction of cardiovascular risk factors was >70% for incident MI, whereas it was only 27% for AF. Subsequent MI after AF (hazard ratio [HR], 1.68; 95% CI, 1.03-2.74) and subsequent AF after MI (HR, 1.75; 95% CI, 1.31-2.34) both significantly increased overall mortality risk. Conclusions We observed different associations of cardiovascular risk factors with both diseases indicating distinct pathophysiological pathways. Subsequent diagnoses of MI and AF significantly increased mortality risk.