S
Seppo Koskinen
Researcher at National Institute for Health and Welfare
Publications - 438
Citations - 56905
Seppo Koskinen is an academic researcher from National Institute for Health and Welfare. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 78, co-authored 395 publications receiving 48000 citations. Previous affiliations of Seppo Koskinen include National Institutes of Health & University of Turku.
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Journal Article
Effect of Elmslie-Trillat and Roux-Goldthwait procedures on patellofemoral relationships and symptoms in patients with patellar dislocations.
TL;DR: In patients who underwent the Roux-Goldthwait operation, a less pronounced correction of tilt and lateralization appeared to correlate with more satisfactory subjective results.
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Associations of isometric and isoinertial trunk muscle strength measurements and lumbar paraspinal muscle cross-sectional areas.
TL;DR: It is concluded that dynamic and static strength measurements are closely related, with angular velocity giving additional information on muscle function.
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Erratum: Chronic conditions and sleep problems among adults aged 50 years or over in nine countries: A multi-country study (PLoS ONE (2014) 9:12 (e114742.) DOI:10.1371/journal.pone.0114742)
Low vision status and declining vision decrease Health-Related Quality of Life: Results from a nationwide 11-year follow-up study
Joonas Taipale,Alexandra Mikhailova,Matti Ojamo,Janika Nättinen,Saku Väätäinen,Mika Gissler,Mika Gissler,Seppo Koskinen,Harri Rissanen,Päivi Sainio,Hannu Uusitalo +10 more
TL;DR: HRQoL was significantly and meaningfully impaired even before the threshold of severe vision loss or blindness was reached, and the results encourage the improvement of available treatment options aiming to postpone the onset of visual impairment or declining VA, to maintain better quality of life among the population.
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Predicting coronary heart disease mortality—assessing uncertainties in population forecasts and death probabilities by using Bayesian inference
TL;DR: A Bayesian model based on past observations and prior knowledge is presented to predict coronary heart disease (CHD) mortality in selected areas of Finland until the year 2030 and emphasizes the significance of maintaining the recent decline of CHD mortality among middle-aged adults.