Bioabsorbable Versus Metal Screw in the Fixation of Tibial Tubercle Transfer

Peer reviewe

A note on the use of sensitivity analysis to explore the potential impact of declining institutional care utilisation on disability prevalence

Many health and disability surveys are conducted using the non-institutionalised population as a sampling frame. Consequently, it is possible that changes in the utilisation of institutional care could account for all or part of any change in the observed prevalence of functional limitation, disability or other health state, based on samples from the non-institutionalised population. Using conditional probability arguments, I present an adjustment formula for computing health state prevalences for the non-institutionalised population under a scenario in which health state prevalences are held constant except for movement into the non-institutionalised population of individuals who would formerly have been in institutional care. By comparing the adjusted prevalence with observed non-institutionalised health state prevalences the contribution of changes in institutionalisation to observed changes in the non-institutionalised health state prevalence can be assessed

A molecular-based identification resource for the arthropods of Finland

Publisher Copyright: © 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.Peer reviewe

Suomalaisten toimintakykyiset elinvuodet : Metodinen tarkastelu ja mittaaminen

Liite 1 : Tärkeimmät suomalaiset aikuisväestön terveydentilaa koskevat aineistot, Liite 2 : Eri maissa käytettyjä toimintarajoitusten määritelmi

Health expectancy by level of education in Finland

Using the method first presented by Sullivan, the article presents results on health expectancy by level of education and gender in the late 1980s in Finland. The life tables by level of education cover the years 1986-1990. Indicators of disability and poor health were based on three variables from the nationwide 1986 Survey on Living Conditions (N = 12,057): limiting long-standing illness, functional disability and poor self-perceived health. Two cutting points indicating different levels of severity of disability or poor health were used for each measure, giving six dichotomous indicators. Disability-free life expectancy and life expectancy with disability were found to depend strongly on the indicator of disability, but the patterns of differences both between genders and between educational categories were largely independent of the indicators used. Life expectancy as well as disability-free life expectancy showed a systematic relationship with level of education: the higher the level of education, the higher the life expectancy and disability-free life expectancy. The differences between educational categories in disability-free life expectancy were markedly larger than in total life expectancy. Life expectancy with disability was shortest among the more educated and longest among the less educated. Due to the higher life expectancy and the higher prevalence of disability among women, life expectancy with disability was longer among women than men according to all indicators.life expectancy health expectancy disability health inequalities education socioeconomic status