A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Omaan terveyteen liittyvän tiedon hankkimisen Heidi Enwald, Kirsi Korhonen, Merja Tuomaala, Maarit Kangas, Timo Jämsä & Raija Korpelainen Ikääntyneiden liikuntatietokäyttäytyminen: väestöpohjainen GASEL-tutkimus ... Kangas, Lääketieteellisen kuvantamisen, fysiikan ja tekniikan yksikkö, Lääketieteellinen tiedekunta, Oulun yliopisto, email@example.com; Timo Jämsä, Lääketieteellisen kuvantamisen, fysiikan ja tekniikan ...doaj:d584b675c95b47218049018297bc8962 fatcat:pe2vmtwdsrd7hi2prhzmobibge
Maarit Kangas, PhD, has bachelor s degree in Technology, master s degree in Biochemistry and Medical Technology and she completed her PhD in Medical technology at the University of Oulu, Finland in 2011 ...doi:10.1177/1471301216674816 pmid:27765896 fatcat:rpto2npdjrbgzlkyoghpcwokg4
Lieriön kaava antaa runkojen kapenemisen vuoksi hieman harhaisia tilavuuksia (aliarvioita), sitä suurempia mitä pidempiä pätkät ovat (Kangas ja Päivinen 2000, s. 44) . ... Kokonaisilla puilla voidaan soveltaa esimerkiksi Laasasenahon tilavuusyhtälöitä (Laasasenaho 1982) , katkenneilla puilla taas esimerkiksi Newtonin kaavaa (Kangas ja Päivinen 2000) tai katkaistun kartion ...doi:10.14214/ma.6080 fatcat:wjr5bthtnjh2rnkiwtn6cuj7ae
Terveydenhuollon tietojärjestelmien onnistumista mittaavien indikaattoreiden määrittely ja vertailujen tekeminen yleistyvät nopeasti sekä kansallisesti että kansainvälisesti. Indikaattorien määrittely perustuu harvoin läpinäkyvään metodologiaan. Pohjoismaiden Neuvosto muodosti vuonna 2012 tutkimusverkoston yhteispohjoismaisten eHealth indikaattorien luomiseksi. Tutkimusverkosto soveltaa eHealth‐indikaattorien muodostamiseksi läpinäkyvää metodologiaa, joka on julkaistu Medical Informatics Europedoaj:f708be75df3e4f4c88c2e862cab9ec70 fatcat:kxzpqcm5afdjzexik6ph7vmawe
more »... ‐konferenssiartikkelina vuonna 2012. Työn tulokset osoittavat, että pohjoismaissa on hyvin samanlaisia tavoitteita terveydenhuollon tietojärjestelmille, vaikka tavoitteiden painotukset käytetyn aineiston valossa vaihtelevatkin. Ensimmäisiksi yhteisten tavoitteiden saavuttamista mittaaviksi yhteispohjoismaisiksi indikaattoreiksi määriteltiin menetelmän avulla potilaskertomusjärjestelmän, sähköisen tiedonvaihdon ja sähköisten asiakaspalveluiden näkökulmasta potilaan sähköisen lääkityslistan, sähköisen reseptin ja sähköisen ajanvarauksen saatavuus ja käyttöaste. Työ osoitti, että saatavuuden vertailtavuus edellyttää tuntemusta järjestelmän tai tiedon laadusta, mm. alueellisesta kattavuudesta. Määrittelytyö osoitti, että menetelmän jokaisen askeleen soveltaminen on tärkeää vertailukelpoisten indikaattorien tuottamiseksi. Artikkeli perustuu käsikirjoitukseen raportista, joka julkaistaan Pohjoismaiden Ministerineuvoston toimesta.
Mobile technology has been increasingly adopted in promotion of mental health among older people. This study assessed the feasibility of a mobile mental wellness training application for individual use and for group work from the perspectives of older adults and social care professionals. The older individuals recruited for the study were participants in a Circle of Friends group and family caregivers' peer support group offered by the communal senior services. The qualitative and quantitativedoi:10.1016/j.gerinurse.2018.02.001 pmid:29530292 fatcat:bc5cih4eancrbmdrnnfgfubg6e
more »... esults of interviews, questionnaires, observation, and application usage were reported. Seven older adults started using the application independently at home in parallel with the group activity. This study revealed new information regarding the barriers to the older adults' full adoption of such mobile technologies. The results indicated that there may be potential in the incorporation of mobile technologies in promotion of mental health of older people at group settings.
A fundamental challenge for employees in the office environment is the difficulty of being physically active. The long-term effect of physical inactivity can lower work effectiveness and cause health problems. The nonsubstantial indication from recent research suggests that persuasive techniques can create a significant impact on motivating people. This study investigates the overall influence of using a persuasive application in promoting physical activity in the workplace, such as officedblp:conf/persuasive/HaqueIKJ18 fatcat:wqwjpdaqsne5jho24jztzy5h6u
more »... onment. To motivate individuals for healthier behaviour, we implemented and tested an application incorporating Self-Determination Theory (SDT). We conducted an eight-week long usability evaluation of the application, using the UTAUT model. The questionnaires were based on the factors: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Behavioural Intention, and Use Behaviour. We found that our persuasive application was satisfactory to motivate users for physical activity promotion.
Gait & Posture
A B S T R A C T Background: Objective measures using accelerometer-based activity monitors have been extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure PA and SB precisely, the field is shifting towards machine learning-based (ML) approaches for calibration and validation of accelerometer-based activity monitors. Nevertheless, various parameters regarding the use and development of ML-based models, including data type (raw acceleration data versusdoi:10.1016/j.gaitpost.2018.12.003 fatcat:522byta52nbgte4fnflve4qr2e
more »... y counts), sampling frequency, window size, input features, ML technique, accelerometer placement, and free-living settings, affect the predictive ability of ML-based models. The effects of these parameters on ML-based models have remained elusive, and will be systematically reviewed here. The open challenges were identified and recommendations are made for future studies and directions. Method: We conducted a systematic search of PubMed and Scopus databases to identify studies published before July 2017 that used ML-based techniques for calibration and validation of accelerometer-based activity monitors. Additional articles were manually identified from references in the identified articles. Results: A total of 62 studies were eligible to be included in the review, comprising 48 studies that calibrated and validated ML-based models for predicting the type and intensity of activities, and 22 studies for predicting activity energy expenditure. Conclusions: It appears that various ML-based techniques together with raw acceleration data sampled at 20-30 Hz provide the opportunity of predicting the type and intensity of activities, as well as activity energy expenditure with comparable overall predictive accuracies regardless of accelerometer placement. However, the high predictive accuracy of laboratory-calibrated models is not reproducible in free-living settings, due to transitive and unseen activities together with differences in acceleration signals.
Declaration of conflicting interests Ronja Ruotanen, Maarit Kangas, Niina Keränen, Jari Haverinen, Jarmo Reponen: the employer has received funding to complete this part of the project as part of the national ...doi:10.23996/fjhw.109778 fatcat:7fi6re55vzbhpafbkyx3l4efme
A prescription and medication service that is optimised to protect against unnecessary harm is an essential component of a safer healthcare system. To this means, the Nordic countries have put considerable efforts in digitizing their prescription and dispensing processes and making medication eHealth services available for clinicians, pharmacists and patients. As these e-services are being established and applied, there is a need to monitor and learn from their use. This paper reports from afatcat:rj22uiss35dq7j4c7hzpxcjlvu
more »... -study of a larger activity on developing indicators for monitoring eHealth services in the Nordic countries. We describe different medication eHealth services and compare their availabiliy to professionals and patients in the Nordic countries. We found that an ePrescription service is available for clinicians and patients in all Nordic countries, but services that enable renewal or viewing of prescriptions by patients are not commonly available yet. A major challenge when comparing medication eHealth services is the fact that definitions of indicators vary between countries.
Recently, the importance of light physical activity (LPA) for health has been emphasized, and residential greenness has been positively linked to the level of LPA and a variety of positive health outcomes. However, people spend less time in green environments because of urbanization and modern sedentary leisure activities. Aims: In this population-based study, we investigated the association between objectively measured residential greenness and accelerometry measured physical activity (PA),doi:10.3390/ijerph17249202 pmid:33317103 pmcid:PMC7763678 fatcat:x3ul2ie3dzayllc4vkeuk7tyfe
more »... h a special interest in LPA and gender differences. Methods: The study was based on the Northern Finland Birth Cohort 1966 (5433 members). Participants filled in a postal questionnaire and underwent clinical examinations and wore a continuous measurement of PA with wrist-worn Polar Active Activity Monitor accelerometers for two weeks. The volume of PA (metabolic equivalent of task or MET) was used to describe the participant's total daily activity (light: 2–3.49 MET; moderate: 3.5–4.99 MET; vigorous: 5–7.99 MET; very vigorous: ≥8 MET). A geographic information system (GIS) was used to assess the features of each individual's residential environment. The normalized difference vegetation index (NDVI) was used for the objective quantification of residential greenness. Multiple linear regression and a generalized additive model (GAM) were used to analyze the association between residential greenness and the amount of PA at different intensity levels. Results: Residential greenness (NDVI) was independently associated with LPA (unadjusted β = 174; CI = 140, 209) and moderate physical activity (MPA) (unadjusted β = 75; CI = 48, 101). In the adjusted model, residential greenness was positively and significantly associated with LPA (adjusted β = 70; CI = 26, 114). In men, residential greenness was positively and significantly associated with LPA (unadjusted β = 224; CI = 173, 275), MPA (unadjusted β = 75; CI = 48, 101), and moderate to vigorous physical activity (MVPA) (unadjusted β = 89; CI = 25, 152). In women, residential greenness was positively related to LPA (unadjusted β = 142; CI = 96, 188) and inversely associated with MPA (unadjusted β = −22; CI = −36, −8), vigorous/very vigorous physical activity (VPA/VVPA) (unadjusted β = −49; CI = −84, −14), and MVPA (unadjusted β = −71; CI = −113, −29). In the final adjusted models, residential greenness was significantly associated only with the amount of LPA in men (adjusted β = 140; CI = 75, 204). Conclusions: Residential greenness was positively associated with LPA in both genders, but the association remained significant after adjustments only in men. Residential greenness may provide a supportive environment for promoting LPA.
BMC Women's Health
Body temperature is a common method in menstrual cycle phase tracking because of its biphasic form. In ambulatory studies, different skin temperatures have proven to follow a similar pattern. The aim of this pilot study was to assess the applicability of nocturnal finger skin temperature based on a wearable Oura ring to monitor menstrual cycle and predict menstruations and ovulations in real life.doi:10.1186/s12905-019-0844-9 pmid:31783840 pmcid:PMC6883568 fatcat:jp2abdfxiven7hi7ose2bjhngq
Falls are a major problem for older people and recurrent fallers are especially prone to severe consequences due to falls. This study investigated the association between chronic conditions and falls. Responses from 872 older persons (age 65-98) to a health questionnaire were used in the analyses. Characteristics and disease prevalence between recurrent fallers, one-time fallers and non-fallers were compared. A hierarchical clustering method was applied to find combinations of chronicdoi:10.1186/s12877-020-01621-9 pmid:32590946 fatcat:js2bnjmldrf3xi2x2mxocmtvua
more »... that were associated with recent recurrent falling. The results showed that recurrent fallers had a higher number of diseases (median 4, interquartile range, IQR = 2.0-5.0) compared to non-fallers (median 2, IQR = 1.0-3.0). Eight clusters were formed based on the data. The participants in the low chronic disease cluster were younger, more physically active, not frail, and had fewer geriatric conditions. Multiple chronic disease cluster participants were older, less physically active, overweight (body mass index, BMI > 30), at risk of malnutrition, and had more geriatric conditions. Significantly increased risk of recurrent falls relative to the low chronic cluster was found for respondents in the osteoporosis cluster and multiple chronic disease cluster (OR = 5.65, 95% confidence interval CI: 1.23-25.85, p = 0.026, and OR = 13.42, 95% CI: 2.47-72.96, p = 0.002, respectively). None of the clusters were associated with increased risk of one-time falling. The results implicate that the number of chronic diseases is related with risk of recurrent falling. Furthermore, the results implicate the potential of identifying certain combinations of chronic diseases that increase fall risk by analyzing health record data, although further studies are needed with a larger population sample.
To examine the association of physical activity (PA) and sedentary time (ST) with glucose metabolism according to waist circumference (WC) in older people. A population-based sample of 702 individuals (aged 67-70 years) wore wrist-worn accelerometers for two weeks and underwent an oral glucose tolerance test. The associations between moderate-to-vigorous (MVPA) and light (LPA) PA, ST, and glucose metabolism across the tertiles of WC were analysed using general linear regression. Among highestdoi:10.1016/j.diabres.2021.108937 pmid:34217770 fatcat:22lj3v3ht5ds5nyguvjcyxin5y
more »... tertile, LPA negatively associated with fasting insulin (β = - 0.047, 95% CI - 0.082 to - 0.012), HOMA-IR (β = - 0.098, 95% CI - 0.184 to - 0.012), and HOMA-β (β = - 3.367, CI - 6.570 to - 0.783). ST associated with 120 min glucose (β = 0.140, CI 0.021 to 0.260). Among lowest WC tertile, MVPA negatively associated with 30 min insulin (β = - 0.086, 95% CI - 0.168 to - 0.004) and 120 min insulin (β = - 0.160, 95% CI - 0.257 to - 0.063) and positively associated with Matsuda index (β = 0.076, 95% CI 0.014 to 0.139). Light PA negatively associated with 120 min insulin (β = - 0.054, 95% CI - 0.104 to - 0.005). With the limitation of the cross-sectional study, reducing ST and increasing LPA may be beneficial for glucose metabolism among abdominally obese older adults. Lean older adults could benefit more from increasing MVPA.
« Previous Showing results 1 — 15 out of 91 results