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Aulbach MB, Puukko S, Palsola M, Haukkala A, Sund R, Vasankari T, Hankonen N. How does a school-based intervention impact students' social cognitions on reducing sedentary behavior over 14 months? PSYCHOL HEALTH MED 2024; 29:1235-1249. [PMID: 38013166 DOI: 10.1080/13548506.2023.2285734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/15/2023] [Indexed: 11/29/2023]
Abstract
Despite sedentary behavior being ubiquitous in students and detrimental to health, interventions specifically targeting it are mostly restricted to leisure time screen time reduction. With six weekly sessions alongside a poster campaign and an additional teacher intervention, the Let's Move It trial delivered environmental and psychological strategies to increase physical activity (PA) and reduce sedentary behavior (SB) in vocational schools, an understudied environment for behavioral interventions. Participants in the intervention arm considerably reduced sedentary time post-intervention. To investigate how social cognitions about restricting SB, as defined by the Reasoned Action Approach, change in intervention and control arms, self-reported data on social cognitions was collected as part of a cluster-randomized controlled trial from 1166 students (59% female, mage = 18.7 years, range: 16-49) in six vocational schools before, post-intervention, and 14 months post-baseline. Data were analyzed using mixed between-within repeated measures ANOVA. We found greater improvements in intention (F(1, 833) = 9.69; η2p = 0.01; p = .018) and descriptive norms (F(1, 831) = 13.25; η2p = 0.016; p < .001) in the intervention than control arm, but these effects depended on the included control variables. Generally, intervention effects leveled off from post-intervention to follow-up. The Let's Move It intervention for SB reduction showed modest, short-lived effects on social cognitions, indicating that changes in behavior are likely due to other factors like changes to the classroom environment. Optimally, SB reduction interventions should not only change behavior but produce robust changes in conscious intentions to restrict one's sitting, so that positive effects generalize to other contexts.
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Affiliation(s)
- Matthias Burkard Aulbach
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- School of Science, Aalto University, Espoo, Finland
- Department of Psychology, Paris-Lodron-University of Salzburg, Salzburg, Austria
| | - Sarmite Puukko
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Minttu Palsola
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Ari Haukkala
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- Helsinki Collegium of Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Reijo Sund
- Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Tommi Vasankari
- UKK Institute for Health Promotion Research, Tampere University, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Nelli Hankonen
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- Faculty of Social Sciences, Tampere University, Tampere, Finland
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Palmberg L, Löppönen A, Hyvärinen M, Portegijs E, Rantanen T, Rantalainen T, Karavirta L. Physical Behavior Profiles Among Older Adults and Their Associations With Physical Capacity and Life-Space Mobility. J Aging Phys Act 2024; 32:472-479. [PMID: 38364819 DOI: 10.1123/japa.2023-0225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/21/2023] [Accepted: 01/02/2024] [Indexed: 02/18/2024]
Abstract
We identified data-driven multidimensional physical activity (PA) profiles using several novel accelerometer-derived metrics. Participants aged 75, 80, and 85 (n = 441) wore triaxial accelerometers for 3-7 days. PA profiles were formed with k-means cluster analysis based on PA minutes, intensity, fragmentation, sit-to-stand transitions, and gait bouts for men and women. Associations with physical capacity and life-space mobility were examined using age-adjusted general linear models. Three profiles emerged: "Exercisers" and "actives" accumulated relatively high PA minutes, with actives engaging in lighter intensity PA. "Inactives" had the highest activity fragmentation and lowest PA volume, intensity, and gait bouts. Inactives showed lower scores in physical capacity and life-space mobility compared with exercisers and actives. Exercisers and actives had similar physical capacity and life-space mobility, except female exercisers had higher walking speed in the 6-min walk test. Our findings demonstrate the importance of assessing PA as multidimensional behavior rather than focusing on a single metric.
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Affiliation(s)
- Lotta Palmberg
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
| | - Antti Löppönen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
- Physical Activity, Sports and Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Matti Hyvärinen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
| | - Erja Portegijs
- Center for Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Taina Rantanen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
| | - Timo Rantalainen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
| | - Laura Karavirta
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
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Laine S, Sjöros T, Garthwaite T, Honka MJ, Löyttyniemi E, Eskola O, Saarenhovi M, Kallio P, Koivumäki M, Vähä-Ypyä H, Sievänen H, Vasankari T, Hirvonen J, Laitinen K, Houttu N, Kalliokoski K, Saunavaara V, Knuuti J, Heinonen IHA. Daily standing time, dietary fiber, and intake of unsaturated fatty acids are beneficially associated with hepatic insulin sensitivity in adults with metabolic syndrome. Front Endocrinol (Lausanne) 2024; 15:1272886. [PMID: 38989003 PMCID: PMC11233550 DOI: 10.3389/fendo.2024.1272886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 06/11/2024] [Indexed: 07/12/2024] Open
Abstract
Background Obesity is associated with impaired glucose metabolism and hepatic insulin resistance. The aim was to investigate the associations of hepatic glucose uptake (HGU) and endogenous glucose production (EGP) to sedentary behavior (SB), physical activity (PA), cardiorespiratory fitness, dietary factors, and metabolic risk markers. Methods Forty-four adults with metabolic syndrome (mean age 58 [SD 7] years, BMI ranging from 25-40kg/; 25 females) were included. HGU was measured by positron emission tomography during the hyperinsulinemic-euglycemic clamp. EGP was calculated by subtracting the glucose infusion rate during clamp from the glucose rate of disappearance. SB and PA were measured with hip-worn accelerometers (26 [SD3] days). Fitness was assessed by maximal bicycle ergometry with respiratory gas measurements and dietary intake of nutrients by 4-day food diaries. Results HGU was not associated with fitness or any of the SB or PA measures. When adjusted for sex, age, and body fat-%, HGU was associated with whole-body insulin sensitivity (β=0.58), water-insoluble dietary fiber (β=0.29), energy percent (E%) of carbohydrates (β=-0.32), saccharose (β=-0.32), mono- and polyunsaturated fatty acids (β=0.35, β=0.41, respectively). EGP was associated with whole-body insulin sensitivity (β=-0.53), and low-density lipoprotein cholesterol [β=-0.31], and when further adjusted for accelerometry wear time, EGP was associated with standing [β=-0.43]. (p-value for all< 0.05). Conclusions Standing more, consuming a diet rich in fiber and unsaturated fatty acids, and a lower intake of carbohydrates, especially sugar, associate beneficially with hepatic insulin sensitivity. Habitual SB, PA, or fitness may not be the primary modulators of HGU and EGP. However, these associations need to be confirmed with intervention studies.
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Affiliation(s)
- Saara Laine
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Tanja Sjöros
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Taru Garthwaite
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Miikka-Juhani Honka
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | | | - Olli Eskola
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Maria Saarenhovi
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Petri Kallio
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Center, University of Turku, Turku, Finland
| | - Mikko Koivumäki
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jussi Hirvonen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Kirsi Laitinen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Noora Houttu
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kari Kalliokoski
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Virva Saunavaara
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
- Department of Medical Physics, Division of Medical Imaging, Turku University Hospital, Turku, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Ilkka H A Heinonen
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
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Sarttila KH, Kuusela M, Pohjola V, Lundqvist A, Hautala AJ, Pesola AJ, Lahti J. Joint associations of leisure time physical activity and screen sitting time with long-term sickness absence due to mental and musculoskeletal diseases: a registry linked follow-up study. Public Health 2024; 233:177-184. [PMID: 38905747 DOI: 10.1016/j.puhe.2024.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 04/24/2024] [Accepted: 05/15/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVES To examine joint associations of leisure-time physical activity (LTPA) and screen sitting time with subsequent sickness absence among the adult population. STUDY DESIGN Registry linked follow-up study. METHODS A representative sample of Finnish adults (n = 10,300) were asked to fill out a questionnaire for the FinHealth 2017 survey. Self-reported LTPA was classified into three groups: inactive, moderately active, and active, and screen sitting time into two groups: 3 h or less and over three hours a day, yielding a six-category variable for the joint analyses. Questionnaire data were linked to the Finnish Social Insurance Institution's register data on sickness benefits (over 9 days), including diagnoses (follow-up 2.9 years). The analytical samples were restricted to working age (18-64 years), which included 5098 participants. Associations were examined using logistic regression analysis adjusting for covariates with SPSS 29. RESULTS The inactive and high sitting time had a higher risk for sickness absence due to mental disorders (OR 2.07, 95% CI 1.03-4.18) compared with the physically active, low-sitting time group. Additionally, the inactive and low sitting time (OR 1.69 95% CI 1.12-2.55) and the moderately active and high-sitting time groups (OR 2.06 95% CI 1.15-3.67) had a higher risk. No significant associations were found for all-cause and musculoskeletal diseases sickness absence. CONCLUSION Employers and policymakers could support reducing sitting in front of a screen and increase LTPA outside working hours to prevent mental health problems and related sickness absences.
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Affiliation(s)
- K H Sarttila
- Finnish Institute for Health and Welfare, Helsinki, Finland.
| | - M Kuusela
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - V Pohjola
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - A Lundqvist
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - A J Hautala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - A J Pesola
- Active Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland
| | - J Lahti
- Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland
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Vuoksimaa E, Saari TT, Aaltonen A, Aaltonen S, Herukka SK, Iso-Markku P, Kokkola T, Kyttälä A, Kärkkäinen S, Liedes H, Ollikainen M, Palviainen T, Ruotsalainen I, Toivola A, Urjansson M, Vasankari T, Vähä-Ypyä H, Forsberg MM, Hiltunen M, Jalanko A, Kälviäinen R, Kuopio T, Lähteenmäki J, Nyberg P, Männikkö M, Serpi R, Siltanen S, Palotie A, Kaprio J, Runz H, Julkunen V. TWINGEN: protocol for an observational clinical biobank recall and biomarker cohort study to identify Finnish individuals with high risk of Alzheimer's disease. BMJ Open 2024; 14:e081947. [PMID: 38866570 PMCID: PMC11177688 DOI: 10.1136/bmjopen-2023-081947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 05/09/2024] [Indexed: 06/14/2024] Open
Abstract
INTRODUCTION A better understanding of the earliest stages of Alzheimer's disease (AD) could expedite the development or administration of treatments. Large population biobanks hold the promise to identify individuals at an elevated risk of AD and related dementias based on health registry information. Here, we establish the protocol for an observational clinical recall and biomarker study called TWINGEN with the aim to identify individuals at high risk of AD by assessing cognition, health and AD-related biomarkers. Suitable candidates were identified and invited to participate in the new study among THL Biobank donors according to TWINGEN study criteria. METHODS AND ANALYSIS A multi-centre study (n=800) to obtain blood-based biomarkers, telephone-administered and web-based memory and cognitive parameters, questionnaire information on lifestyle, health and psychological factors, and accelerometer data for measures of physical activity, sedentary behaviour and sleep. A subcohort is being asked to participate in an in-person neuropsychological assessment (n=200) and wear an Oura ring (n=50). All participants in the TWINGEN study have genome-wide genotyping data and up to 48 years of follow-up data from the population-based older Finnish Twin Cohort (FTC) study of the University of Helsinki. The data collected in TWINGEN will be returned to THL Biobank from where it can later be requested for other biobank studies such as FinnGen that supported TWINGEN. ETHICS AND DISSEMINATION This recall study consists of FTC/THL Biobank/FinnGen participants whose data were acquired in accordance with the Finnish Biobank Act. The recruitment protocols followed the biobank protocols approved by Finnish Medicines Agency. The TWINGEN study plan was approved by the Ethics Committee of Hospital District of Helsinki and Uusimaa (number 16831/2022). THL Biobank approved the research plan with the permission no: THLBB2022_83.
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Affiliation(s)
- Eero Vuoksimaa
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Toni T Saari
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Aino Aaltonen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Sari Aaltonen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Sanna-Kaisa Herukka
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - Paula Iso-Markku
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Tarja Kokkola
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Aija Kyttälä
- THL Biobank, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sari Kärkkäinen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Liedes
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- VTT Technical Research Centre of Finland Ltd, Oulu, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Ilona Ruotsalainen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- VTT Technical Research Centre of Finland Ltd, Espoo, Finland
| | - Auli Toivola
- THL Biobank, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mia Urjansson
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Tommi Vasankari
- UKK Institute for Health Promotion Research, Tampere, Pirkanmaa, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Henri Vähä-Ypyä
- UKK Institute for Health Promotion Research, Tampere, Pirkanmaa, Finland
| | - Markus M Forsberg
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- VTT Technical Research Centre of Finland Ltd, Kuopio, Finland
| | - Mikko Hiltunen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anu Jalanko
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Reetta Kälviäinen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - Teijo Kuopio
- Central Finland Biobank, Wellbeing Services County of Central Finland and University of Jyväskylä, Jyväskylä, Finland
| | | | - Pia Nyberg
- Biobank Borealis of Northern Finland, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Translational Medicine Research Unit, University of Oulu, Oulu, Finland
| | - Minna Männikkö
- Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Raisa Serpi
- Biobank Borealis of Northern Finland, Oulu University Hospital, Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Sanna Siltanen
- Finnish Clinical Biobank Tampere, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
- The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Heiko Runz
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Translational Sciences, Biogen Inc, Cambridge, Massachusetts, USA
| | - Valtteri Julkunen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, NeuroCenter, Kuopio University Hospital, Kuopio, Finland
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Sipilä L, Sievänen H, Raitanen J, Kyröläinen H, Vasankari T, Vaara JP, Honkanen T. Is device-measured physical activity associated with musculoskeletal disorders among young adult Finnish men? Front Sports Act Living 2024; 6:1346118. [PMID: 38894733 PMCID: PMC11183498 DOI: 10.3389/fspor.2024.1346118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
Background Musculoskeletal (MSK) disorders represent a significant burden to society and can be unpleasant for the affected individuals. Physical activity (PA) can prevent MSK disorders while conferring other health benefits. The present study aimed to investigate associations between device-measured PA and perceived MSK disorders among young adult men. Methods PA at different intensity levels, standing, and sedentary behavior were measured with a hip-worn accelerometer in a cohort of 422 young adult Finnish men aged 26 years on average. The incidences of three common MSK disorders (viz., knee pain, lumbar radicular pain, and lumbago pain) during the last month were inquired by a questionnaire. Binary logistic regression was used to examine the associations between the MSK outcomes and explanatory PA variables (PA times at different intensity levels, standing, and sedentary times). The models were controlled for age, education, smoking, BMI, and maximal oxygen uptake. Results PA, standing, and sedentary times were not significantly associated with the incidence of perceived MSK pain during the last month, except for lumbago pain. Lumbago pain was slightly more probable if the time spent in light PA increased, even after controlling for potential confounding factors, including moderate-to-vigorous PA, with an odds ratio (OR) of 1.07 (95% CI: 1.02-1.14). Sedentary time showed an opposite association, with an OR of 0.98 (95% CI: 0.96-1.00). Conclusions There were neither positive nor negative clinically meaningful associations between PA and recent MSK disorders among young adult men. The result is surprising and requires further confirmation.
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Affiliation(s)
- Lumi Sipilä
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Jani Raitanen
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Social Sciences (Health Sciences), Tampere University, Tampere, Finland
| | - Heikki Kyröläinen
- Department of Leadership and Military Pedagogy, National Defence University, Helsinki, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jani P. Vaara
- Department of Leadership and Military Pedagogy, National Defence University, Helsinki, Finland
| | - Tuomas Honkanen
- Aeromedical Centre, Centre for Military Medicine, Helsinki, Finland
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Husu P, Vähä-Ypyä H, Tokola K, Sievänen H, Rocha P, Vasankari T. Reliability and Validity of Self-Reported Questionnaires Assessing Physical Activity and Sedentary Behavior in Finland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:686. [PMID: 38928933 PMCID: PMC11203568 DOI: 10.3390/ijerph21060686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/24/2024] [Accepted: 05/25/2024] [Indexed: 06/28/2024]
Abstract
Reliable and valid data on physical activity (PA) and sedentary behavior (SB) are needed for implementing evidence-based interventions and policies. Monitoring of these behaviors is based on PA questionnaires (PAQs) and device-based measurements, but their comparability is challenging. The present study aimed to investigate the test-retest reliability and concurrent validity of Finnish versions of the widely used PAQs (IPAQ-SF, EHIS-PAQ, GPAQ, Eurobarometer) and to compare their data with accelerometer data. This study is based on the Finnish data of the European Union Physical Activity and Sport Monitoring project (EUPASMOS). Participants (n = 62 adults, 62% women) answered the PAQs twice, one week apart, and wore an accelerometer for these seven consecutive days. Intraclass correlations, Spearman's rank correlations, t-tests, and Cohen's kappa with bootstrap confidence intervals were used to analyze the data. The PAQs had typically moderate-to-good test-retest reliability (ICC 0.22-0.78), GPAQ, EHIS-PAQ, and Eurobarometer showing the highest reliability. The PAQs correlated with each other when assessing sitting and vigorous PA (R = 0.70-0.97) and had a fair-to-substantial agreement when analyzing adherence to the PA recommendations (74-97%, Cohen's kappa 0.25-0.73). All the PAQs had a poor criterion validity against the accelerometry data. The Finnish versions of the PAQs are moderately reliable and valid for assessing PA, adherence to PA recommendations and sitting among adult participants. However, the poor criterion validity against accelerometer data indicates that PAQs assess different aspects of PA constructs compared to accelerometry.
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Affiliation(s)
- Pauliina Husu
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland; (P.H.); (H.V.-Y.); (K.T.); (H.S.)
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland; (P.H.); (H.V.-Y.); (K.T.); (H.S.)
| | - Kari Tokola
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland; (P.H.); (H.V.-Y.); (K.T.); (H.S.)
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland; (P.H.); (H.V.-Y.); (K.T.); (H.S.)
| | - Paulo Rocha
- Portuguese Institute for Sport and Youth, 1250-190 Lisbon, Portugal;
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland; (P.H.); (H.V.-Y.); (K.T.); (H.S.)
- Faculty of Medicine and Health Technology, Military Medicine, Tampere University, Kalevantie 4, FI-33014 Tampere, Finland
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Husu P, Tokola K, Vähä-Ypyä H, Sievänen H, Kokko S, Villberg J, Vasankari T. Physical activity has decreased in Finnish children and adolescents from 2016 to 2022. BMC Public Health 2024; 24:1343. [PMID: 38762462 PMCID: PMC11102264 DOI: 10.1186/s12889-024-18854-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 05/14/2024] [Indexed: 05/20/2024] Open
Abstract
BACKGROUND Varying trends in children's and adolescents' physical activity (PA) have been reported during the last 10-20 years. Trends in sedentary behavior (SB) have been studied only rarely. The purpose of the present study was to describe population-based trends in accelerometer-measured PA, standing and SB, among Finnish 7-15-year-old children and adolescents, and to evaluate the potential influence of the COVID-19 pandemic on these behaviors. METHOD A cross-sectional population-based Finnish school-aged physical activity Study (FSPA) measured daily steps, vigorous (VPA), moderate (MPA), moderate-to-vigorous (MVPA), light physical activity (LPA), standing, and SB by an accelerometer for seven consecutive days in 2016, 2018, and 2022 (n = 7.080, 57% girls). The data was analyzed by multivariate regression analysis. RESULTS In 2016, participants took on average 10.305 steps per day, and spent 0:15 (h: min) in VPA, 1:37 in MPA, 1:52 in MVPA, 3:48 in LPA, 0:55 in standing and 7:52 in SB. From 2016 to 2018, daily steps, MPA, LPA, and standing increased [229 steps (95% Confidence Interval, CI 70-387), 0:03 (CI 0:01 - 0:04), 0:11 (CI 0:09 - 0:14), and 0:07 (CI 0:05 - 0:08), respectively], while VPA and SB decreased [0:01 (CI 0:00-0:02) and 0:20 (CI 0:16 - 0:24), respectively]. From 2018 to 2022, daily PA and standing declined [751 steps (CI 562-939), VPA 0:02 (CI 0:01 - 0:03), MPA 0:09 (CI 0:07 - 0:11), MVPA 0:11 (CI 0:09 - 0:14), LPA 0:08 (CI 0:05 - 0:11), and standing 0:01 (CI 0:01 - 0:03)] while SB increased 0:21 (CI 0:16 - 0:25) indicating potential influence of the pandemic. CONCLUSIONS Children and adolescents became physically less active from 2016 to 2022. The potential effects of the COVID-19 were seen as declined PA and increased sedentariness from 2018 to 2022.
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Affiliation(s)
- Pauliina Husu
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, Tampere, FI-33500, Finland.
| | - Kari Tokola
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, Tampere, FI-33500, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, Tampere, FI-33500, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, Tampere, FI-33500, Finland
| | - Sami Kokko
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, Jyväskylä, FI-40014, Finland
| | - Jari Villberg
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, Jyväskylä, FI-40014, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, Tampere, FI-33500, Finland
- Faculty of Medicine and Health Technology, Tampere University, Kalevantie 4, Tampere, FI-33014, Finland
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9
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Weber A, van Hees VT, Stein MJ, Gastell S, Steindorf K, Herbolsheimer F, Ostrzinski S, Pischon T, Brandes M, Krist L, Marschollek M, Greiser KH, Nimptsch K, Brandes B, Jochem C, Sedlmeier AM, Berger K, Brenner H, Buck C, Castell S, Dörr M, Emmel C, Fischer B, Flexeder C, Harth V, Hebestreit A, Heise JK, Holleczek B, Keil T, Koch-Gallenkamp L, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Kluttig A, Obi N, Peters A, Schmidt B, Schipf S, Schulze MB, Teismann H, Waniek S, Willich SN, Leitzmann MF, Baurecht H. Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO). Sci Rep 2024; 14:7927. [PMID: 38575636 PMCID: PMC10995156 DOI: 10.1038/s41598-024-58461-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/29/2024] [Indexed: 04/06/2024] Open
Abstract
Large population-based cohort studies utilizing device-based measures of physical activity are crucial to close important research gaps regarding the potential protective effects of physical activity on chronic diseases. The present study details the quality control processes and the derivation of physical activity metrics from 100 Hz accelerometer data collected in the German National Cohort (NAKO). During the 2014 to 2019 baseline assessment, a subsample of NAKO participants wore a triaxial ActiGraph accelerometer on their right hip for seven consecutive days. Auto-calibration, signal feature calculations including Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD), identification of non-wear time, and imputation, were conducted using the R package GGIR version 2.10-3. A total of 73,334 participants contributed data for accelerometry analysis, of whom 63,236 provided valid data. The average ENMO was 11.7 ± 3.7 mg (milli gravitational acceleration) and the average MAD was 19.9 ± 6.1 mg. Notably, acceleration summary metrics were higher in men than women and diminished with increasing age. Work generated in the present study will facilitate harmonized analysis, reproducibility, and utilization of NAKO accelerometry data. The NAKO accelerometry dataset represents a valuable asset for physical activity research and will be accessible through a specified application process.
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Affiliation(s)
- Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
| | | | - Michael J Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Florian Herbolsheimer
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Stefan Ostrzinski
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Mirko Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
| | - Michael Marschollek
- Hannover Medical School, Peter L. Reichertz Institute for Medical Informatics, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
| | - Karin Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Carmen Jochem
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Anja M Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christoph Buck
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Carina Emmel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Claudia Flexeder
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany
| | - Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Jana-Kristin Heise
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | | | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Lena Koch-Gallenkamp
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Alexander Kluttig
- Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Sabina Waniek
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Stefan N Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
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10
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Sjöros T, Norha J, Johansson R, Laine S, Garthwaite T, Vähä-Ypyä H, Löyttyniemi E, Kalliokoski KK, Sievänen H, Vasankari T, Knuuti J, Heinonen IHA. Tiredness after work associates with less leisure-time physical activity. Sci Rep 2024; 14:7965. [PMID: 38575674 PMCID: PMC10994905 DOI: 10.1038/s41598-024-58775-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/03/2024] [Indexed: 04/06/2024] Open
Abstract
Physical activities and sedentary behaviors take place in different contexts. This study aimed to determine if the context, total score, and leisure-time MET-index assessed by the Baecke questionnaire associate with each other or with sedentary behavior and physical activity outcomes from a 4-week accelerometer measurement in physically inactive adults with overweight. The item "After working I am tired" correlated negatively with items related to leisure-time physical activity and sports participation. The total Baecke Score showed weak but significant correlations with accelerometer-measured sedentary behavior, physical activity, daily steps, and mean activity intensity of the day (r = - 0.33, 0.41, 0.35, and 0.41, respectively). The associations strengthened when the Sport Index was omitted from the Score. The leisure-time MET-Index did not correlate with accelerometer-measured sedentary behavior or physical activity. Tiredness after working associated with less self-reported physical activity during leisure time. This suggests that better recovery from work-related stress could increase leisure-time physical activity, or increasing leisure-time physical activity could reduce tiredness after working. Moreover, among self-reportedly inactive adults with overweight, focusing the questionnaire on work and non-sport leisure time instead of total time might give more accurate estimates of sedentary behavior and physical activity when compared to accelerometry.The study is registered at ClinicalTrials.gov (NCT03101228, 05/04/2017).
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Affiliation(s)
- Tanja Sjöros
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland
| | - Jooa Norha
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland
| | - Riitta Johansson
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland
| | - Saara Laine
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland
| | - Taru Garthwaite
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Eliisa Löyttyniemi
- Department of Biostatistics, University of Turku and Turku University Hospital, Turku, Finland
| | - Kari K Kalliokoski
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland
| | - Ilkka H A Heinonen
- Turku PET Centre, University of Turku and Turku University Hospital, P.O. Box 52, 20521, Turku, Finland.
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11
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Etzkorn LH, Heravi AS, Knuth ND, Wu KC, Post WS, Urbanek JK, Crainiceanu CM. Classification of Free-Living Body Posture with ECG Patch Accelerometers: Application to the Multicenter AIDS Cohort Study. STATISTICS IN BIOSCIENCES 2024; 16:25-44. [PMID: 38715709 PMCID: PMC11073799 DOI: 10.1007/s12561-023-09377-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 05/11/2023] [Accepted: 05/30/2023] [Indexed: 05/12/2024]
Abstract
Purpose As health studies increasingly monitor free-living heart performance via ECG patches with accelerometers, researchers will seek to investigate cardio-electrical responses to physical activity and sedentary behavior, increasing demand for fast, scalable methods to process accelerometer data. We extend a posture classification algorithm for accelerometers in ECG patches when researchers do not have ground-truth labels or other reference measurements (i.e., upright measurement). Methods Men living with and without HIV in the Multicenter AIDS Cohort study wore the Zio XT® for up to two weeks (n = 1,250). Our novel extensions for posture classification include (1) estimation of an upright posture for each individual without a reference upright measurement; (2) correction of the upright estimate for device removal and re-positioning using novel spherical change-point detection; and (3) classification of upright and recumbent periods using a clustering and voting process rather than a simple inclination threshold used in other algorithms. As no posture labels exist in the free-living environment, we perform numerous sensitivity analyses and evaluate the algorithm against labelled data from the Towson Accelerometer Study, where participants wore accelerometers at the waist. Results On average, 87.1% of participants were recumbent at 4am and 15.5% were recumbent at 1pm. Participants were recumbent 54 minutes longer on weekends compared to weekdays. Performance was good in comparison to labelled data in a separate, controlled setting (accuracy = 96.0%, sensitivity = 97.5%, specificity = 95.9%). Conclusions Posture may be classified in the free-living environment from accelerometers in ECG patches even without measuring a standard upright position. Furthermore, algorithms that fail to account for individuals who rotate and re-attach the accelerometer may fail in the free-living environment.
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Affiliation(s)
| | | | | | | | | | - Jacek K. Urbanek
- School of Medicine, Johns Hopkins University
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Rd, Tarrytown NY 10591
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12
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Norha J, Sjöros T, Garthwaite T, Laine S, Saarenhovi M, Kallio P, Laitinen K, Houttu N, Vähä-Ypyä H, Sievänen H, Löyttyniemi E, Vasankari T, Knuuti J, Kalliokoski KK, Heinonen IHA. Effects of reduced sedentary time on resting, exercise and post-exercise blood pressure in inactive adults with metabolic syndrome - a six-month exploratory RCT. J Hum Hypertens 2024; 38:314-321. [PMID: 38267651 PMCID: PMC11001575 DOI: 10.1038/s41371-024-00894-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/26/2024]
Abstract
Evidence on the long-term effects of reducing sedentary behaviour (SB) on blood pressure (BP) is scarce. Therefore, we performed a sub-analysis of the BP effects of a six-month intervention that aimed at reducing SB by 1 h/day and replacing it with non-exercise activities. Sixty-four physically inactive and sedentary adults with metabolic syndrome (58% female, 58 [SD 7] years, BP 143/88 [16/9] mmHg, SB 10 [1] h/day) were randomised into intervention (INT, n = 33) and control (CON, n = 31) groups. Resting BP and BP at each stage during and after a graded maximal bicycle ergometer test were measured before and after the intervention. SB, standing, moderate-to-vigorous physical activity (MVPA), and light physical activity (LPA) were measured in six-second intervals at baseline and during the whole six-month intervention using hip-worn accelerometers. The analyses were adjusted for BP medication status. The intervention resulted in a 40 min/day reduction in SB and concomitant 20 min/day increase in MVPA. Resting systolic BP was lower in the CON group before and after the intervention. No group x time interactions were observed in resting BP or BP during exercise at submaximal or maximal intensities, or during recovery. The changes in LPA and MVPA were inversely correlated with the changes in BP during light-to-moderate intensity exercise. An intervention that resulted in a 40 min/day reduction in SB for six months was not sufficient at influencing BP at rest, during or after exercise in adults with metabolic syndrome. However, successfully increasing LPA or MVPA might lower BP during light-to-moderate-intensity activities.
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Affiliation(s)
- Jooa Norha
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
| | - Tanja Sjöros
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Taru Garthwaite
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Saara Laine
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Maria Saarenhovi
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Petri Kallio
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre and Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - Kirsi Laitinen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Noora Houttu
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Eliisa Löyttyniemi
- Department of Biostatistics, University of Turku and Turku University Hospital, Turku, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Kari K Kalliokoski
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Ilkka H A Heinonen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
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13
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Mattila OP, Rantanen T, Rantakokko M, Karavirta L, Cronin N, Rantalainen T. Laboratory-assessed gait cycle entropy for classifying walking limitations among community-dwelling older adults. Exp Gerontol 2024; 188:112381. [PMID: 38382681 DOI: 10.1016/j.exger.2024.112381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/11/2024] [Accepted: 02/15/2024] [Indexed: 02/23/2024]
Abstract
Among older people, walking difficulty results from actual and perceived declines in physical capacities and environmental requirements for walking. We investigated whether the physiological complexity of the gait cycle covaries with experience of walking difficulty. Walking difficulty, gait speed, and gait cycle complexity were evaluated among 702 community-dwelling older people aged 75, 80, and 85 years who took part in the six-minute walking test in the research laboratory. Walking difficulty for 500 m was self-reported. Complexity was quantified as trunk acceleration multiscale entropy during the gait cycle. Complexity was then compared between those with no reported walking difficulty, walking with modifications but no difficulty, and those reporting walking difficulty. Higher entropy differentiated those reporting no difficulty walking from those reporting walking difficulties, while those reporting having modified their walking, but no difficulty formed an intermediate group that could not be clearly distinguished from the other categories. The higher complexity of the gait cycle is associated with slower gait speed and the presence of self-reported walking difficulty. Among older people, gait cycle complexity which primarily reflects the biomechanical dimensions of gait quality, could be a clinically meaningful measure reflecting specific features of the progression of walking decline. This encourages further investigation of the sensitivity of gait cycle complexity to detect early signs of gait deterioration and to support targeted interventions among older people.
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Affiliation(s)
- Olli-Pekka Mattila
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland.
| | - Taina Rantanen
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland.
| | - Merja Rantakokko
- Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland; Wellbeing Services County of Central Finlad, Finland.
| | - Laura Karavirta
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland.
| | - Neil Cronin
- Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland; Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland.
| | - Timo Rantalainen
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland.
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14
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Garthwaite T, Sjöros T, Laine S, Koivumäki M, Vähä-Ypyä H, Verho T, Norha J, Kallio P, Saarenhovi M, Löyttyniemi E, Sievänen H, Houttu N, Laitinen K, Kalliokoski KK, Vasankari T, Knuuti J, Heinonen I. Sedentary time associates detrimentally and physical activity beneficially with metabolic flexibility in adults with metabolic syndrome. Am J Physiol Endocrinol Metab 2024; 326:E503-E514. [PMID: 38416072 PMCID: PMC11194051 DOI: 10.1152/ajpendo.00338.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/13/2024] [Accepted: 02/27/2024] [Indexed: 02/29/2024]
Abstract
Metabolic flexibility (MetFlex) describes the ability to respond and adapt to changes in metabolic demand and substrate availability. The relationship between physical (in)activity and MetFlex is unclear. This study aimed to determine whether sedentary time, physical activity (PA), and cardiorespiratory fitness associate with MetFlex. Sedentary time, standing, and PA were measured with accelerometers for 4 weeks in 64 sedentary adults with metabolic syndrome [37 women, 27 men; 58.3 (SD 6.8) years]. Fitness (V̇o2max; mL·kg-1·min-1) was measured with graded maximal cycle ergometry. MetFlex was assessed with indirect calorimetry as the change in respiratory exchange ratio (ΔRER) from fasting to insulin stimulation with hyperinsulinemic-euglycemic clamp and from low-intensity to maximal exercise. Carbohydrate (CHOox) and fat oxidation (FATox) were calculated from respiratory gases. High sedentary time associated with higher fasting RER [β = 0.35 (95% confidence interval: 0.04, 0.67)], impaired insulin-stimulated MetFlex (ΔRER) [β=-0.41 (-0.72, -0.09)], and lower fasting FATox [β=-0.36 (-0.67, -0.04)]. Standing associated with lower fasting RER [β=-0.32 (-0.62, -0.02)]. Higher standing time and steps/day associated with higher fasting FATox [β = 0.31 (0.01, 0.61), and β = 0.26 (0.00, 0.53)]. Light-intensity and total PA associated with better insulin-stimulated MetFlex [β = 0.33 (0.05, 0.61)], and β = 0.33 (0.05, 0.60)]. Higher V̇o2max associated with higher CHOox during maximal exercise [β = 0.81 (0.62, 1.00)], as well as during insulin stimulation [β = 0.43 (0.13, 0.73)]. P values are less than 0.05 for all associations. Sedentary time and PA associate with MetFlex. Reducing sitting and increasing PA of even light intensity might aid in the prevention of metabolic diseases in risk populations through their potential effects on energy metabolism.NEW & NOTEWORTHY High accelerometer-assessed sedentary time associates with metabolic inflexibility measured during hyperinsulinemic-euglycemic clamp in adults with metabolic syndrome, and more light-intensity and total physical activity associate with more metabolic flexibility. Physical activity behaviors may thus play an important role in the regulation of fuel metabolism. This highlights the potential of reduced sedentary time and increased physical activity of any intensity to induce metabolic health benefits and help in disease prevention in risk populations.
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Affiliation(s)
- Taru Garthwaite
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Tanja Sjöros
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Saara Laine
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Mikko Koivumäki
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Tiina Verho
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Jooa Norha
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Petri Kallio
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre and Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - Maria Saarenhovi
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Eliisa Löyttyniemi
- Department of Biostatistics, University of Turku and Turku University Hospital, Turku, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Noora Houttu
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kirsi Laitinen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kari K Kalliokoski
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Ilkka Heinonen
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
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15
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Vähä-Ypyä H, Husu P, Sievänen H, Vasankari T. Measurement of Sedentary Behavior-The Outcomes of the Angle for Posture Estimation (APE) Method. SENSORS (BASEL, SWITZERLAND) 2024; 24:2241. [PMID: 38610452 PMCID: PMC11014150 DOI: 10.3390/s24072241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024]
Abstract
Hip-worn accelerometers are commonly used to assess habitual physical activity, but their accuracy in precisely measuring sedentary behavior (SB) is generally considered low. The angle for postural estimation (APE) method has shown promising accuracy in SB measurement. This method relies on the constant nature of Earth's gravity and the assumption that walking posture is typically upright. This study investigated how cardiorespiratory fitness (CRF) and body mass index (BMI) are related to APE output. A total of 3475 participants with adequate accelerometer wear time were categorized into three groups according to CRF or BMI. Participants in low CRF and high BMI groups spent more time in reclining and lying postures (APE ≥ 30°) and less time in sitting and standing postures (APE < 30°) than the other groups. Furthermore, the strongest partial Spearman correlation with CRF (r = 0.284) and BMI (r = -0.320) was observed for APE values typical for standing. The findings underscore the utility of the APE method in studying associations between SB and health outcomes. Importantly, this study emphasizes the necessity of reserving the term "sedentary behavior" for studies wherein the classification of SB is based on both intensity and posture.
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Affiliation(s)
- Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, 33500 Tampere, Finland; (P.H.); (H.S.); (T.V.)
| | - Pauliina Husu
- The UKK Institute for Health Promotion Research, 33500 Tampere, Finland; (P.H.); (H.S.); (T.V.)
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, 33500 Tampere, Finland; (P.H.); (H.S.); (T.V.)
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, 33500 Tampere, Finland; (P.H.); (H.S.); (T.V.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland
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16
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Vasankari S, Mahlamäki V, Hartikainen J, Vasankari V, Tokola K, Vähä-Ypyä H, Anttila V, Husu P, Sievänen H, Vasankari T, Halonen J. Elective Cardiac Procedure Patients Have Low Preoperative Cardiorespiratory Fitness. Int J Sports Med 2024; 45:63-70. [PMID: 37640058 PMCID: PMC10776211 DOI: 10.1055/a-2161-4137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 08/28/2023] [Indexed: 08/31/2023]
Abstract
Preoperative cardiorespiratory fitness may influence the recovery after cardiac procedure. The aim of this study was to investigate the cardiorespiratory fitness of patients scheduled for elective cardiac procedures, using a six-minute walk test, and compare the results with a population-based sample of Finnish adults. Patients (n=234) awaiting percutaneous coronary intervention or coronary angiography, coronary artery bypass grafting, aortic valve replacement or mitral valve surgery performed the six-minute walk test. VO2max was calculated based on the walk test. The patients were compared to a population-based sample of 60-69-year-old Finnish adults from the FinFit2017 study. The mean six-minute walk test distances (meters) and VO2max (ml/kg/min) of the patient groups were: 452±73 and 24.3±6.9 (coronary artery bypass grafting), 499±84 and 27.6±7.2 (aortic valve replacement), 496±85 and 27.4±7.3 (mitral valve surgery), and 519±90 and 27.3±6.9 (percutaneous coronary intervention or coronary angiography). The population-based sample had significantly greater walk test distance (623±81) and VO2max (31.7±6.1) than the four patient groups (all p-values<0.001). All patient groups had lower cardiorespiratory fitness than the reference population of 60-69-year-old Finnish adults. Particularly the coronary artery bypass grafting group had a low cardiorespiratory fitness, and therefore might be prone to complications and challenging rehabilitation after the operation.
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Affiliation(s)
- Sini Vasankari
- Clinical Medicine, University of Turku Faculty of Medicine, Turku,
Finland
| | - Visa Mahlamäki
- Heart Center, Kuopio University Hospital, Kuopio, Finland
| | - Juha Hartikainen
- Heart Center, Kuopio University Hospital, Kuopio, Finland
- Clinical Medicine, University of Eastern Finland – Kuopio
Campus, Kuopio, Finland
| | - Ville Vasankari
- Neurosurgery, Helsinki University Central Hospital, Helsinki,
Finland
| | - Kari Tokola
- UKK Institute, UKK Institute, Tampere, Finland
| | | | - Vesa Anttila
- Heart Center, TYKS Turku University Hospital, Turku,
Finland
| | | | | | - Tommi Vasankari
- UKK Institute, UKK Institute, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere,
Finland
| | - Jari Halonen
- Heart Center, Kuopio University Hospital, Kuopio, Finland
- Clinical Medicine, University of Eastern Finland – Kuopio
Campus, Kuopio, Finland
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17
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Aaltonen S, Urjansson M, Varjonen A, Vähä-Ypyä H, Iso-Markku P, Kaartinen S, Vasankari T, Kujala UM, Silventoinen K, Kaprio J, Vuoksimaa E. Accelerometer-measured physical activity and sedentary behavior in nonagenarians: Associations with self-reported physical activity, anthropometric, sociodemographic, health and cognitive characteristics. PLoS One 2023; 18:e0294817. [PMID: 38055660 DOI: 10.1371/journal.pone.0294817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/09/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Research on device-based physical activity in the oldest-old adults is scarce. We examined accelerometer-measured physical activity and sedentary behavior in nonagenarians. We also investigated how the accelerometer characteristics associate with nonagenarians' self-reported physical activity, anthropometric, sociodemographic, health and cognitive characteristics. METHODS Nonagenarians from a population-based cohort study (N = 38, mean age 91.2) used accelerometers during the waking hours for seven days. They also participated in a health survey and cognitive telephone interview. The Wald test and Pearson and polyserial correlations were used to analyze the data. RESULTS The participants' average day consisted of 2931 steps, 11 minutes of moderate-to-vigorous physical activity and 13.6 hours of sedentary time. Physical activity bouts less than 3 minutes per day and sedentary time bouts of 20-60 minutes per day were the most common. No sex differences were found. Many accelerometer-measured and self-reported physical activity characteristics correlated positively (correlations ≥0.34, p-values <0.05). The low levels of many accelerometer-measured physical activity characteristics associated with low education (correlations ≥0.25, p-values <0.05), dizziness (correlations ≤-0.42, p-values <0.01) and fear of falling (correlations ≤-0.45, p-values <0.01). Fear of falling was also associated with accelerometer-measured sedentary behavior characteristics (correlations -0.42 or ≥0.43). CONCLUSIONS Nonagenarians were mostly sedentary and low in physical activity, but individual variability existed. Accelerometer-measured and self-reported physical activity had a good consistency. Education, dizziness and fear of falling were consistently related to accelerometer-measured characteristics in nonagenarians.
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Affiliation(s)
- Sari Aaltonen
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Mia Urjansson
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Anni Varjonen
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Henri Vähä-Ypyä
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - Paula Iso-Markku
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
- HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sara Kaartinen
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Department of Physical Medicine and Rehabilitation, HUS Hyvinkää Hospital, Hyvinkää, Finland
| | - Tommi Vasankari
- UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Urho M Kujala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | | | - Jaakko Kaprio
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
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18
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Vuoksimaa E, Saari TT, Aaltonen A, Aaltonen S, Herukka SK, Iso-Markku P, Kokkola T, Kyttälä A, Kärkkäinen S, Liedes H, Ollikainen M, Palviainen T, Ruotsalainen I, Toivola A, Urjansson M, Vasankari T, Vähä-Ypyä H, Forsberg MM, Hiltunen M, Jalanko A, Kälviäinen R, Kuopio T, Lähteenmäki J, Nyberg P, Männikkö M, Serpi R, Siltanen S, Palotie A, Kaprio J, Runz H, Julkunen V. TWINGEN - protocol for an observational clinical biobank recall and biomarker study to identify individuals with high risk of Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.03.23298018. [PMID: 37965200 PMCID: PMC10635260 DOI: 10.1101/2023.11.03.23298018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Introduction A better understanding of the earliest stages of Alzheimer's disease (AD) could expedite the development or administration of treatments. Large population biobanks hold the promise to identify individuals at an elevated risk of AD and related dementias based on health registry information. Here, we establish the protocol for an observational clinical recall and biomarker study called TWINGEN with the aim to identify individuals at high risk of AD by assessing cognition, health and AD-related biomarkers. Suitable candidates were identified and invited to participate in the new study among Finnish biobank donors according to TWINGEN study criteria. Methods and analysis A multi-center study (n=800) to obtain blood-based biomarkers, telephone-administered and web-based memory and cognitive parameters, questionnaire information on lifestyle, health and psychological factors, and accelerometer data for measures of physical activity, sedentary behavior and sleep. A sub-cohort are being asked to participate in an in-person neuropsychological assessment (n=200) and wear an Oura ring (n=50). All participants in the TWINGEN study have genome-wide genotyping data and up to 48 years of follow-up data from the population-based older Finnish Twin Cohort (FTC) study of the University of Helsinki. TWINGEN data will be transferred to Finnish Institute of Health and Welfare (THL) biobank and we aim to further to transfer it to the FinnGen study where it will be combined with health registry data for prediction of AD. Ethics and dissemination This recall study consists of FTC/THL/FinnGen participants whose data were acquired in accordance with the Finnish Biobank Act. The recruitment protocols followed the biobank protocols approved by Finnish Medicines Agency. The TWINGEN study plan was approved by the Ethics Committee of Hospital District of Helsinki and Uusimaa (number 16831/2022). THL Biobank approved the research plan with the permission no: THLBB2022_83.
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Affiliation(s)
- Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Toni T Saari
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aino Aaltonen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sari Aaltonen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanna-Kaisa Herukka
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Paula Iso-Markku
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Tarja Kokkola
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Aija Kyttälä
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sari Kärkkäinen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Liedes
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- VTT Technical Research Centre of Finland Ltd., Oulu, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Ilona Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- VTT Technical Research Centre of Finland Ltd., Espoo, Finland
| | - Auli Toivola
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mia Urjansson
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Tommi Vasankari
- UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Henri Vähä-Ypyä
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - Markus M Forsberg
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- VTT Technical Research Centre of Finland Ltd., Kuopio, Finland
| | - Mikko Hiltunen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anu Jalanko
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Reetta Kälviäinen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Teijo Kuopio
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland
| | | | - Pia Nyberg
- Biobank Borealis of Northern Finland, Oulu University Hospital, Wellbeing Services county of North Ostrobothnia, Oulu, Finland
- Translational Medicine Research Unit, University of Oulu, Oulu, Finland
| | - Minna Männikkö
- Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Raisa Serpi
- Biobank Borealis of Northern Finland, Oulu University Hospital, Wellbeing Services county of North Ostrobothnia, Oulu, Finland
| | - Sanna Siltanen
- Finnish Clinical Biobank Tampere, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Heiko Runz
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Translational Sciences, Biogen, Cambridge, MA, USA
| | - Valtteri Julkunen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
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19
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Aira T, Vasankari T, Heinonen OJ, Korpelainen R, Kotkajuuri J, Parkkari J, Savonen K, Toivo K, Uusitalo A, Valtonen M, Villberg J, Vähä-Ypyä H, Kokko SP. Psychosocial and health behavioural characteristics of longitudinal physical activity patterns: a cohort study from adolescence to young adulthood. BMC Public Health 2023; 23:2156. [PMID: 37924075 PMCID: PMC10625285 DOI: 10.1186/s12889-023-17122-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 11/01/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND The decline in physical activity (PA) during adolescence is well-established. However, while some subgroups of adolescents follow the general pattern of decreased activity, others increase or maintain high or low activity. The correlates and determinants of different PA patterns may vary, offering valuable information for targeted health promotion. This study aimed to examine how psychosocial factors, health behaviours, and PA domains are associated with longitudinal PA patterns from adolescence to young adulthood. METHODS This prospective study encompassed 254 participants measured at mean ages 15 and 19. Device-measured moderate-to-vigorous PA was grouped into five patterns (activity maintainers, inactivity maintainers, decreasers from moderate to low PA, decreasers from high to moderate PA, increasers) via a data-driven method, K-Means for longitudinal data. Multinomial logistic regression was used to analyse the associations between health behaviours, psychosocial factors, PA domains, and different PA patterns. RESULTS A lack of sports club participation characterised inactivity maintainers throughout adolescence. Difficulties in communicating with one's father at age 15 were associated with higher odds of belonging to inactivity maintainers and to decreasers from moderate to low PA. Lower fruit and vegetable consumption at age 19 was also related to increased odds of belonging to the groups of inactivity maintainers and decreasers from moderate to low PA. Smoking at age 19 was associated with being a decreaser from moderate to low PA. CONCLUSIONS Diverse factors characterise longitudinal PA patterns over the transition to young adulthood. Sports club participation contributes to maintained PA. Moreover, a father-adolescent relationship that supports open communication may be one determinant for sustained PA during adolescence. A healthier diet and non-smoking as a young adult are associated with more favourable PA development.
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Affiliation(s)
- Tuula Aira
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, Jyväskylä, FI-40014, Finland.
| | - Tommi Vasankari
- UKK Institute of Health Promotion Research, Kaupinpuistonkatu 1, FI-33500, Tampere, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli J Heinonen
- Paavo Nurmi Centre & Unit for Health and Physical Activity, University of Turku, Kiinamyllykatu 10, FI-20520, Turku, Finland
| | - Raija Korpelainen
- Medical Research Center (MRC), University of Oulu and University Hospital of Oulu, Oulu, Finland
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, P.O. Box 365, FI-90101, Oulu, Finland
- Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - Jimi Kotkajuuri
- Department of Mathematics and Statistics, University of Jyväskylä, P.O. Box 35, FI-40014, Jyväskylä, Finland
| | - Jari Parkkari
- Tampere Research Center of Sports Medicine, Kaupinpuistonkatu 1, FI-33500, Tampere, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, PL 35, FI-40014, Jyväskylä, Finland
| | - Kai Savonen
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Haapaniementie 16, FI-70100, Kuopio, Finland
| | - Kerttu Toivo
- Tampere Research Center of Sports Medicine, Kaupinpuistonkatu 1, FI-33500, Tampere, Finland
| | - Arja Uusitalo
- Clinic for Sports and Exercise Medicine, Foundation for Sports and Exercise Medicine, Mäkelänkatu 47, FI-00550, Helsinki, Finland
- Department of Sports and Exercise Medicine, University of Helsinki, Clinicum, Finland
| | - Maarit Valtonen
- Finnish Institute for High Performance Sport KIHU, Jyväskylä Finland, Rautpohjankatu 6, FI-40700, Jyväskylä, Finland
| | - Jari Villberg
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, Jyväskylä, FI-40014, Finland
| | - Henri Vähä-Ypyä
- UKK Institute of Health Promotion Research, Kaupinpuistonkatu 1, FI-33500, Tampere, Tampere, Finland
| | - Sami P Kokko
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, Jyväskylä, FI-40014, Finland
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20
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Kytö M, Koivusalo S, Tuomonen H, Strömberg L, Ruonala A, Marttinen P, Heinonen S, Jacucci G. Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors. JMIR Diabetes 2023; 8:e43979. [PMID: 37906216 PMCID: PMC10646680 DOI: 10.2196/43979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 06/16/2023] [Accepted: 09/14/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is an increasing health risk for pregnant women as well as their children. Telehealth interventions targeted at the management of GDM have been shown to be effective, but they still require health care professionals for providing guidance and feedback. Feedback from wearable sensors has been suggested to support the self-management of GDM, but it is unknown how self-tracking should be designed in clinical care. OBJECTIVE This study aimed to investigate how to support the self-management of GDM with self-tracking of continuous blood glucose and lifestyle factors without help from health care personnel. We examined comprehensive self-tracking from self-discovery (ie, learning associations between glucose levels and lifestyle) and user experience perspectives. METHODS We conducted a mixed methods study where women with GDM (N=10) used a continuous glucose monitor (CGM; Medtronic Guardian) and 3 physical activity sensors: activity bracelet (Garmin Vivosmart 3), hip-worn sensor (UKK Exsed), and electrocardiography sensor (Firstbeat 2) for a week. We collected data from the sensors, and after use, participants took part in semistructured interviews about the wearable sensors. Acceptability of the wearable sensors was evaluated with the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Moreover, maternal nutrition data were collected with a 3-day food diary, and self-reported physical activity data were collected with a logbook. RESULTS We found that the CGM was the most useful sensor for the self-discovery process, especially when learning associations between glucose and nutrition intake. We identified new challenges for using data from the CGM and physical activity sensors in supporting self-discovery in GDM. These challenges included (1) dispersion of glucose and physical activity data in separate applications, (2) absence of important trackable features like amount of light physical activity and physical activities other than walking, (3) discrepancy in the data between different wearable physical activity sensors and between CGMs and capillary glucose meters, and (4) discrepancy in perceived and measured quantification of physical activity. We found the body placement of sensors to be a key factor in measurement quality and preference, and ultimately a challenge for collecting data. For example, a wrist-worn sensor was used for longer compared with a hip-worn sensor. In general, there was a high acceptance for wearable sensors. CONCLUSIONS A mobile app that combines glucose, nutrition, and physical activity data in a single view is needed to support self-discovery. The design should support tracking features that are important for women with GDM (such as light physical activity), and data for each feature should originate from a single sensor to avoid discrepancy and redundancy. Future work with a larger sample should involve evaluation of the effects of such a mobile app on clinical outcomes. TRIAL REGISTRATION Clinicaltrials.gov NCT03941652; https://clinicaltrials.gov/study/NCT03941652.
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Affiliation(s)
- Mikko Kytö
- Helsinki University Hospital IT Management, Helsinki University Hospital, Helsinki, Finland
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Saila Koivusalo
- Department of Gynecology and Obstetrics, Turku University Hospital, Turku, Finland
- Department of Gynecology and Obstetrics, University of Turku, Turku, Finland
- Department of Gynecology and Obstetrics, Helsinki University Hospital, Helsinki, Finland
- Department of Gynecology and Obstetrics, University of Helsinki, Helsinki, Finland
| | - Heli Tuomonen
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Lisbeth Strömberg
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Antti Ruonala
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Pekka Marttinen
- Department of Computer Science, Aalto University, Espoo, Finland
| | - Seppo Heinonen
- Department of Gynecology and Obstetrics, Helsinki University Hospital, Helsinki, Finland
- Department of Gynecology and Obstetrics, University of Helsinki, Helsinki, Finland
| | - Giulio Jacucci
- Department of Computer Science, University of Helsinki, Helsinki, Finland
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Koivunen K, Löppönen A, Palmberg L, Rantalainen T, Rantanen T, Karavirta L. Autonomic nervous system and postural control regulation during orthostatic test as putative markers of physical resilience among community-dwelling older adults. Exp Gerontol 2023; 182:112292. [PMID: 37738781 DOI: 10.1016/j.exger.2023.112292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/25/2023] [Accepted: 09/15/2023] [Indexed: 09/24/2023]
Abstract
INTRODUCTION We examined whether autonomic nervous system (ANS) and postural control regulation during orthostatic test reflect physical resilience by studying their associations with maximal walking speed and mortality. METHODS The participants were community-dwelling Finnish men (n = 303) and women (n = 386) aged 75, 80, and 85 years at baseline. Systolic and diastolic blood pressure (BP), heart rate, heart rate variability (HRV), respiratory rate, and postural sway were obtained using a digital sphygmomanometer, a single-channel ECG, and thigh- and chest-worn accelerometers. Linear and Cox regression models were used to estimate the associations of the physiological indices with maximal 10-m walking speed and 5-year mortality separately for sexes. RESULTS Better maintenance of BP under orthostatic stress was associated with faster walking speed in women and lower mortality hazard in men. Greater HRV in terms of low frequency power and lower respiration rate in supine position and smaller orthostatic changes in these were associated with faster walking speed especially in women. Less postural sway after standing up was associated with faster walking speed in women (-0.057, SE 0.022, p = 0.011) and more postural sway with increased mortality hazard in men (HR 1.71, 95 % CI 1.20-2.43) even after controlling for BP responses. CONCLUSIONS In addition to ANS regulation at rest and under stress, adaptation of postural control system to orthostasis may be used in quantifying older adults' physical resilience. Wearable sensors capturing stimulus-response patterns and natural fluctuations of body functions may provide opportunities to monitor and incorporate different subsystems' resilience also in free-living conditions.
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Affiliation(s)
- Kaisa Koivunen
- Faculty of Sport and Health Sciences and Gerontology Research Center, the University of Jyväskylä, Finland.
| | - Antti Löppönen
- Faculty of Sport and Health Sciences and Gerontology Research Center, the University of Jyväskylä, Finland; Department of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium
| | - Lotta Palmberg
- Faculty of Sport and Health Sciences and Gerontology Research Center, the University of Jyväskylä, Finland
| | - Timo Rantalainen
- Faculty of Sport and Health Sciences and Gerontology Research Center, the University of Jyväskylä, Finland
| | - Taina Rantanen
- Faculty of Sport and Health Sciences and Gerontology Research Center, the University of Jyväskylä, Finland
| | - Laura Karavirta
- Faculty of Sport and Health Sciences and Gerontology Research Center, the University of Jyväskylä, Finland
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22
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Aira T, Kokko SP, Heinonen OJ, Korpelainen R, Kotkajuuri J, Parkkari J, Savonen K, Toivo K, Uusitalo A, Valtonen M, Villberg J, Niemelä O, Vähä-Ypyä H, Vasankari T. Longitudinal physical activity patterns and the development of cardiometabolic risk factors during adolescence. Scand J Med Sci Sports 2023; 33:1807-1820. [PMID: 37254479 DOI: 10.1111/sms.14415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 02/22/2023] [Accepted: 05/19/2023] [Indexed: 06/01/2023]
Abstract
PURPOSE To examine the associations between longitudinal physical activity (PA) patterns and the development of cardiometabolic risk factors from adolescence to young adulthood. METHODS This cohort study encompassed 250 participants recruited from sports clubs and schools, and examined at mean age 15 and 19. Device-measured moderate-to-vigorous PA was grouped into five patterns (via a data-driven method, using inactivity maintainers as a reference). The outcomes were: glucose, insulin, homeostasis model assessment for insulin resistance (HOMA-IR), total cholesterol, HDL and LDL cholesterol, triglycerides, blood pressure, and body mass index (BMI). Linear growth curve models were applied with adjustment for sex, age, fruit/vegetable consumption, cigarette/snuff use, and change in the device wear-time. RESULTS Insulin and BMI increased among decreasers from moderate to low PA (β for insulin 0.23, 95% CI 0.03-0.46; β for BMI 0.90; CI 0.02-1.78). The concentration of HDL cholesterol decreased (β -0.18, CI -0.31 to -0.05) and that of glucose increased (β 0.18, CI 0.02-0.35) among decreasers from high to moderate PA. By contrast, among increasers, blood pressure declined (systolic β -6.43, CI -12.16 to -0.70; diastolic β -6.72, CI -11.03 to -2.41). CONCLUSIONS Already during the transition to young adulthood, changes in PA are associated with changes in cardiometabolic risk factors. Favorable blood pressure changes were found among PA increasers. Unfavorable changes in BMI, insulin, glucose, and HDL cholesterol were found in groups with decreasing PA. The changes were dependent on the baseline PA and the magnitude of the PA decline.
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Affiliation(s)
- Tuula Aira
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, Jyväskylä, Finland
| | - Sami Petteri Kokko
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, Jyväskylä, Finland
| | - Olli Juhani Heinonen
- Paavo Nurmi Centre & Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - Raija Korpelainen
- Medical Research Center (MRC), University of Oulu and University Hospital of Oulu, Oulu, Finland
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, Finland
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Jimi Kotkajuuri
- Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland
| | - Jari Parkkari
- Tampere Research Center of Sports Medicine, Tampere, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Kai Savonen
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Kerttu Toivo
- Tampere Research Center of Sports Medicine, Tampere, Finland
| | - Arja Uusitalo
- Clinic for Sports and Exercise Medicine, Foundation for Sports and Exercise Medicine, Helsinki, Finland
- Department of Sports and Exercise Medicine, Clinicum, University of Helsinki, Helsinki, Finland
| | - Maarit Valtonen
- Research Institute for Olympic Sports, Jyväskylä Finland, Jyväskylä, Finland
| | - Jari Villberg
- Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, Jyväskylä, Finland
| | - Onni Niemelä
- Medical Research Unit and Department of Laboratory Medicine, Seinäjoki Central Hospital and University of Tampere, Tampere, Finland
| | - Henri Vähä-Ypyä
- UKK Institute of Health Promotion Research, Tampere, Finland
| | - Tommi Vasankari
- UKK Institute of Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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23
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Meh K, Sember V, Sorić M, Vähä-Ypyä H, Rocha P, Jurak G. The dilemma of physical activity questionnaires: Fitter people are less prone to over reporting. PLoS One 2023; 18:e0285357. [PMID: 37647304 PMCID: PMC10468079 DOI: 10.1371/journal.pone.0285357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/22/2023] [Indexed: 09/01/2023] Open
Abstract
Physical activity questionnaires (PAQs) are a popular method of monitoring physical activity, although their validity is usually low. Descriptions of physical activity levels in questionnaires usually rely on physical responses to physical activity. Therefore, we hypothesised that the validity of PAQs would be higher in the more physically fit group of participants. To test this, we conducted a validation study with 179 adults whom we divided into three fitness groups based on their cardiovascular fitness and age. Participants were measured for one week using the UKK RM42 accelerometer and self-reported their physical activity using IPAQ-SF, GPAQ, and EHIS-PAQ. We analysed the differences between fitness groups in terms of validity for each PAQ using ANOVA. We also performed an equivalence testing to compare the data obtained with the PAQs and the accelerometers. The results showed a significant trend toward higher validity for moderate to vigorous physical activity from the low to high fitness group as assessed by GPAQ and IPAQ-SF (low, intermediate and high fitness group: 0.06-0.21; 0.26-0.29; 0.40, respectively). The equivalence testing showed that all fitness groups overestimated their physical activity and underestimated their sedentary behaviour, with the high fitness group overestimating their physical activity the least. However, EHIS-PAQ was found to agree best with accelerometer data in assessing moderate to vigorous physical activity, regardless of fitness group, and had a validity greater than 0.4 for all fitness groups. In conclusion, we confirmed that when using PAQs describing physical responses to physical activity, participants' fitness should be considered in the interpretation, especially when comparing results internationally.
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Affiliation(s)
- Kaja Meh
- Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Vedrana Sember
- Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Maroje Sorić
- Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
- Faculty of Kinesiology, University of Zagreb, Zagreb, Croatia
| | | | - Paulo Rocha
- Portuguese Institute of Sport and Youth, Lisbon, Portugal
| | - Gregor Jurak
- Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
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24
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Sjöros T, Laine S, Garthwaite T, Vähä-Ypyä H, Koivumäki M, Eskola O, Löyttyniemi E, Houttu N, Laitinen K, Kalliokoski KK, Sievänen H, Vasankari T, Knuuti J, Heinonen IHA. The effects of a 6-month intervention aimed to reduce sedentary time on skeletal muscle insulin sensitivity: a randomized controlled trial. Am J Physiol Endocrinol Metab 2023; 325:E152-E162. [PMID: 37378623 DOI: 10.1152/ajpendo.00018.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/15/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023]
Abstract
Sedentary behavior (SB) and physical inactivity associate with impaired insulin sensitivity. We investigated whether an intervention aimed at a 1-h reduction in daily SB during 6 mo would improve insulin sensitivity in the weight-bearing thigh muscles. Forty-four sedentary inactive adults [mean age 58 (SD 7) yr; 43% men] with metabolic syndrome were randomized into intervention and control groups. The individualized behavioral intervention was supported by an interactive accelerometer and a mobile application. SB, measured with hip-worn accelerometers in 6-s intervals throughout the 6-mo intervention, decreased by 51 (95% CI 22-80) min/day and physical activity (PA) increased by 37 (95% CI 18-55) min/day in the intervention group with nonsignificant changes in these outcomes in the control group. Insulin sensitivity in the whole body and in the quadriceps femoris and hamstring muscles, measured with hyperinsulinemic-euglycemic clamp combined with [18F]fluoro-deoxy-glucose PET, did not significantly change during the intervention in either group. However, the changes in hamstring and whole body insulin sensitivity correlated inversely with the change in SB and positively with the changes in moderate-to-vigorous PA and daily steps. In conclusion, these results suggest that the more the participants were able to reduce their SB, the more their individual insulin sensitivity increased in the whole body and in the hamstring muscles but not in quadriceps femoris. However, according to our primary randomized controlled trial results, this kind of behavioral interventions targeted to reduce sedentariness may not be effective in increasing skeletal muscle and whole body insulin sensitivity in people with metabolic syndrome at the population level.NEW & NOTEWORTHY Aiming to reduce daily SB by 1 h/day had no impact on skeletal muscle insulin sensitivity in the weight-bearing thigh muscles. However, successfully reducing SB may increase insulin sensitivity in the postural hamstring muscles. This emphasizes the importance of both reducing SB and increasing moderate-to-vigorous physical activity to improve insulin sensitivity in functionally different muscles of the body and thus induce a more comprehensive change in insulin sensitivity in the whole body.
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Affiliation(s)
- Tanja Sjöros
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Saara Laine
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Taru Garthwaite
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Mikko Koivumäki
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Olli Eskola
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | | | - Noora Houttu
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kirsi Laitinen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kari K Kalliokoski
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
| | - Ilkka H A Heinonen
- Turku PET Centre, University of Turku, Åbo Akademi University, and Turku University Hospital, Turku, Finland
- Rydberg Laboratory of Applied Sciences, University of Halmstad, Halmstad, Sweden
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25
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Husu P, Tokola K, Vähä-Ypyä H, Sievänen H, Vasankari T. Accelerometer-Measured Physical Behavior and Cardiorespiratory Fitness as Indicators of Work Ability. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5414. [PMID: 37048028 PMCID: PMC10094734 DOI: 10.3390/ijerph20075414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/31/2023] [Accepted: 04/03/2023] [Indexed: 06/19/2023]
Abstract
Work ability (WA) reflects an individual's resources, work demands, and related environment. Self-reports have shown that higher physical activity (PA) is associated with better WA. This study investigated associations of accelerometer-measured (24/7) physical behavior and cardiorespiratory fitness (CRF) with WA. In the FinFit2017-population-based study, the physical behavior of 20-69-year-old working Finns was measured in terms of PA, standing, and sedentariness using validated MAD-APE algorithms based on raw triaxial accelerometer data. During waking hours, the accelerometer was hip-worn, while during the time in bed (TIB), it was worn on the non-dominant wrist. CRF was measured with a 6 min walk test. WA was assessed by four questions excerpted from the Work Ability Index (WAI), called the short WAI (sWAI). Participants (n = 1668, mean age 46.6, SD = 10.9, 57% women) scored on average 23.3 on the sWAI (range 6-27), with a higher value indicating a better WA. More minutes in standing (p = 0.001) and in moderate (p = 0.004) and vigorous PA (p < 0.001) as well as a higher step number (p < 0.001) and better CRF (p < 0.001) were associated with a higher sWAI value. More time spent lying down (p < 0.001) and in high-movement (p < 0.001) and total TIB (p = 0.001) was associated with a lower sWAI. Detailed analysis of 24/7 physical behavior can be utilized in identifying individual-related indicators of WA.
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Affiliation(s)
- Pauliina Husu
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland
| | - Kari Tokola
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland
- Faculty of Medicine and Health Technology, Military Medicine, Tampere University, Kalevantie 4, FI-33014 Tampere, Finland
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26
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Bayartai ME, Taulaniemi A, Tokola K, Vähä-Ypyä H, Parkkari J, Husu P, Kankaanpää M, Vasankari T, Michael Bauer C, Luomajoki H. Role of the interaction between lumbar kinematics and accelerometer-measured physical activity in bodily pain, physical functioning and work ability among health care workers with low back pain. J Electromyogr Kinesiol 2023; 69:102744. [PMID: 36680881 DOI: 10.1016/j.jelekin.2023.102744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/13/2022] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
The aim of this study was to examine the associations of spinal kinematics and physical activity (PA) with bodily pain, physical functioning, and work ability among health care workers with low back pain (LBP). Spinal kinematics and PA were measured with a wireless Inertial Measurement Unit system (ValedoMotion®) and a waist-worn tri-axial accelerometer (Hookie AM20), respectively. Their association was assessed in relation to Work Ability Index (WAI), bodily pain and physical functioning (RAND-36) in 210 health care workers with recurrent LBP. Greater lumbar movement variability/less deterministic lumbar movement (in angular velocity) during a "Pick Up a Box" functional task was correlated with higher amounts of step counts (r = -0.29, p = 0.01) and moderate PA (r = -0.24, p = 0.03). A higher amount of PA (p = 0.03) as well as less movement control impairment (p = 0.04) and movement variability (p = 0.03) were associated with greater work ability, whilst greater vigorous PA was the only parameter to explain higher physical functioning (p = 0.02). PA and movement variability were relative to each other to explain bodily pain (p = 0.01). These findings show the importance of considering the interaction between lumbar kinematics and physical activity while planning strategies to improve bodily pain, physical functioning and work ability among health care workers with LBP.
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Affiliation(s)
- Munkh-Erdene Bayartai
- Institute of Physiotherapy, School of Health Professions, Zurich University of Applied Sciences, 8400 Winterthur, Switzerland; Department of Physical Therapy, School of Nursing, Mongolian National University of Medical Sciences, Ulaanbaatar 14210, Mongolia.
| | - Annika Taulaniemi
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland
| | - Kari Tokola
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland
| | - Jari Parkkari
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland; Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Pauliina Husu
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland
| | - Markku Kankaanpää
- Department of Rehabilitation and Psychosocial Support, Tampere University Hospital, Tampere, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500 Tampere, Finland; Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Christoph Michael Bauer
- Department of Physiotherapy and Occupational Therapy, University Hospital Zurich, Zurich, Switzerland
| | - Hannu Luomajoki
- Institute of Physiotherapy, School of Health Professions, Zurich University of Applied Sciences, 8400 Winterthur, Switzerland
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27
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Welch SB, Honegger K, O'Brien M, Capan S, Kwon S. Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads. BMC Pediatr 2023; 23:129. [PMID: 36941567 PMCID: PMC10026417 DOI: 10.1186/s12887-023-03910-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 02/15/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Physical activity (PA) development in toddlers (age 1 and 2 years) is not well understood, partly because of a lack of analytic tools for accelerometer-based data processing that can accurately evaluate PA among toddlers. This has led to a knowledge gap regarding how parenting practices around PA, mothers' PA level, mothers' parenting stress, and child developmental and behavioral problems influence PA development in early childhood. METHODS The Child and Mother Physical Activity Study is a longitudinal study to observe PA development in toddlerhood and examine the influence of personal and parental characteristics on PA development. The study is designed to refine and validate an accelerometer-based machine learning algorithm for toddler activity recognition (Aim 1), apply the algorithm to compare the trajectories of toddler PA levels in males and females age 1-3 years (Aim 2), and explore the association between gross motor development and PA development in toddlerhood, as well as how parenting practices around PA, mothers' PA, mothers' parenting stress, and child developmental and behavioral problems are associated with toddlerhood PA development (Exploratory Aims 3a-c). DISCUSSION This study will be one of the first to use longitudinal data to validate a machine learning activity recognition algorithm and apply the algorithm to quantify free-living ambulatory movement in toddlers. The study findings will help fill a significant methodological gap in toddler PA measurement and expand the body of knowledge on the factors influencing early childhood PA development.
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Affiliation(s)
- Sarah B Welch
- Buehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Arthur J. Rubloff Building, 420 E. Superior St, IL, 60611, Chicago, USA.
- Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, USA.
| | - Kyle Honegger
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, USA
| | - Megan O'Brien
- Department of Physical Medicine & Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, USA
- Max Näder Center for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, USA
| | - Selin Capan
- Buehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Arthur J. Rubloff Building, 420 E. Superior St, IL, 60611, Chicago, USA
- Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, USA
| | - Soyang Kwon
- Smith Child Health Outcomes, Research, and Evaluation Center, Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, USA
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28
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Garthwaite T, Sjöros T, Laine S, Koivumäki M, Vähä-Ypyä H, Eskola O, Rajander J, Kallio P, Saarenhovi M, Löyttyniemi E, Sievänen H, Houttu N, Laitinen K, Kalliokoski K, Vasankari T, Knuuti J, Heinonen I. Associations of sedentary time, physical activity, and fitness with muscle glucose uptake in adults with metabolic syndrome. Scand J Med Sci Sports 2023; 33:353-358. [PMID: 36517882 DOI: 10.1111/sms.14287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/29/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE The objective of the study was to investigate the associations of sedentary time, physical activity, and cardiorespiratory fitness with skeletal muscle glucose uptake (GU). METHODS Sedentary time and physical activity were measured with accelerometers and VO2 max with cycle ergometry in 44 sedentary adults with metabolic syndrome. Thigh muscle GU was determined with [18 F]FDG-PET imaging. RESULTS Sedentary time (β = -0.374), standing (β = 0.376), steps (β = 0.351), and VO2 max (β = 0.598) were associated with muscle GU when adjusted for sex, age, and accelerometer wear time. Adjustment for body fat-% turned all associations non-significant. CONCLUSION Body composition is a more important determinant of muscle GU in this population than sedentary time, physical activity, or fitness.
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Affiliation(s)
- Taru Garthwaite
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Tanja Sjöros
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Saara Laine
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Mikko Koivumäki
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Olli Eskola
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Johan Rajander
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Petri Kallio
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland.,Paavo Nurmi Centre and Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - Maria Saarenhovi
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Noora Houttu
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kirsi Laitinen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Kari Kalliokoski
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland.,Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland
| | - Ilkka Heinonen
- Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku, Finland.,Rydberg Laboratory of Applied Sciences, University of Halmstad, Halmstad, Sweden
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Farrahi V, Rostami M, Nauha L, Korpisaari M, Niemelä M, Jämsä T, Korpelainen R, Oussalah M. Replacing sedentary time with physical activity and sleep: Associations with cardiometabolic health markers in adults. Scand J Med Sci Sports 2023; 33:907-920. [PMID: 36703280 DOI: 10.1111/sms.14323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/01/2023] [Accepted: 01/23/2023] [Indexed: 01/28/2023]
Abstract
This study aimed to examine the associations of sedentary time, and substituting sedentary time with physical activity and sleep, with cardiometabolic health markers while accounting for a full 24 h of movement and non-movement behaviors, cardiorespiratory fitness (CRF), and other potential confounders. The participants were 4585 members of the Northern Finland Birth Cohort 1966, who wore a hip-worn accelerometer at the age of 46 years for 14 consecutive days. Time spent in sedentary behaviors, light-intensity physical activity (LPA), and moderate-to-vigorous-intensity physical activity (MVPA) were determined from the accelerometer and combined with self-reported sleep duration to obtain the 24-h time use. CRF was estimated from the peak heart rate in a submaximal step test. An isotemporal substitution paradigm was used to examine how sedentary time and substituting sedentary time with an equal amount of LPA, MVPA, or sleep were associated with adiposity markers, blood lipid levels, and fasting glucose and insulin. Sedentary time was independently and adversely associated with the markers of cardiometabolic health, even after adjustment for CRF, but not in partition models including LPA, MVPA, sleep, and CRF. Substituting 60, 45, 30, and 15 min/day of sedentary time with LPA or MVPA was associated with 0.2%-13.7% favorable differences in the cardiometabolic health markers after accounting for LPA, MVPA, sleep, CRF, and other confounders. After adjustment for movement and non-movement behaviors within the 24-h cycle, reallocating additional time to both LPA and MVPA was beneficially associated with markers of cardiometabolic health in middle-aged adults regardless of their CRF level.
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Affiliation(s)
- Vahid Farrahi
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.,Center of Machine Vision and Signal Analysis, Faculty of Information Technology, University of Oulu, Oulu, Finland
| | - Mehrdad Rostami
- Center of Machine Vision and Signal Analysis, Faculty of Information Technology, University of Oulu, Oulu, Finland
| | - Laura Nauha
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.,Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Maija Korpisaari
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.,Geography Research Unit, Faculty of Science, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland.,Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, Finland
| | - Maisa Niemelä
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland.,Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, Finland
| | - Timo Jämsä
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Raija Korpelainen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland.,Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, Finland
| | - Mourad Oussalah
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.,Center of Machine Vision and Signal Analysis, Faculty of Information Technology, University of Oulu, Oulu, Finland
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30
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Mäkituomas L, Heikkilä L, Nurkkala M, Korpelainen R, Alanko L, Heinonen OJ, Kokko S, Kujala U, Parkkari J, Savonen K, Valtonen M, Vasankari T, Villberg J, Vanhala M. Factors associated with body size perception among adolescent goal-oriented sports participants and non-participants: a cross-sectional Finnish study. BMC Public Health 2022; 22:2188. [PMID: 36434562 PMCID: PMC9700987 DOI: 10.1186/s12889-022-14511-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 11/01/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Regardless of competitive athletes' body image pressures, only few studies have focused on adolescent sport participants' body image and the findings are inconclusive. Furthermore, the role of competitive goals in sports on adolescents' body size perception has not been studied. We examined the factors associated with adolescents' competitive goals in sports and body size perception, and the associations between adolescents' competitive goals in sports and body size perception. METHODS The cross-sectional study consisted of 475 goal-oriented sports club participants and 936 reference youths (aged 14-16 years). The study questionnaire included multiple choice items on health behaviours, motives to exercise, competitive goals in sports and body size perception. The multinomial logistic regression analysis was used to investigate the associations. RESULTS Adolescents with competitive goals in sports perceived their body size as about the right size more frequently than reference youths (68% vs 47%, p < 0.001 in girls; 74% vs 61%, p < 0.001 in boys). More than one-fourth of girls with competitive goals in sports perceived themselves as overweight, although only 7% of them were overweight. Adolescents with appearance/weight motives to exercise and poor perceived physical fitness had higher odds of perceived fatness. Additionally, BMI was positively associated with perceived fatness and negatively with perceived thinness. Having competitive goals in sports was not independently associated with perceived fatness or perceived thinness. CONCLUSIONS Adolescents' BMI, appearance/weight motives to exercise, and perceived physical fitness were more strongly associated with body size perception than their competitive goals in sports. However, perceived fatness among girls with competitive goals in sports should be considered in organized sports.
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Affiliation(s)
- Leevi Mäkituomas
- grid.417779.b0000 0004 0450 4652Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., P.O. Box 365, FI-90101 Oulu, Finland ,grid.10858.340000 0001 0941 4873Center for Life Course Health Research, Faculty of Medicine, University of Oulu, P.O. Box 5000, FI-90014 Oulu, Finland ,grid.10858.340000 0001 0941 4873Medical Research Center, University of Oulu and Oulu University Hospital, P.O. Box 8000, FI-90014 Oulu, Finland
| | - Laura Heikkilä
- grid.417779.b0000 0004 0450 4652Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., P.O. Box 365, FI-90101 Oulu, Finland ,grid.10858.340000 0001 0941 4873Center for Life Course Health Research, Faculty of Medicine, University of Oulu, P.O. Box 5000, FI-90014 Oulu, Finland ,grid.10858.340000 0001 0941 4873Medical Research Center, University of Oulu and Oulu University Hospital, P.O. Box 8000, FI-90014 Oulu, Finland
| | - Marjukka Nurkkala
- grid.417779.b0000 0004 0450 4652Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., P.O. Box 365, FI-90101 Oulu, Finland ,grid.10858.340000 0001 0941 4873Center for Life Course Health Research, Faculty of Medicine, University of Oulu, P.O. Box 5000, FI-90014 Oulu, Finland ,grid.10858.340000 0001 0941 4873Medical Research Center, University of Oulu and Oulu University Hospital, P.O. Box 8000, FI-90014 Oulu, Finland
| | - Raija Korpelainen
- grid.417779.b0000 0004 0450 4652Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., P.O. Box 365, FI-90101 Oulu, Finland ,grid.10858.340000 0001 0941 4873Center for Life Course Health Research, Faculty of Medicine, University of Oulu, P.O. Box 5000, FI-90014 Oulu, Finland ,grid.10858.340000 0001 0941 4873Medical Research Center, University of Oulu and Oulu University Hospital, P.O. Box 8000, FI-90014 Oulu, Finland
| | - Lauri Alanko
- Sports Medicine Clinic, Foundation for Sports and Exercise Clinic, Mäkelänkatu 47, FI-00550 Helsinki, Finland ,Sports and Exercise Medicine Clinic, Central Finland Hospital Nova, Hoitajantie 3, FI-40620 Jyväskylä, Finland
| | - Olli J. Heinonen
- grid.1374.10000 0001 2097 1371Paavo Nurmi Centre & Unit for Physical Activity and Health, University of Turku, Kiinamyllynkatu 10, FI-20520 Turku, Finland
| | - Sami Kokko
- grid.9681.60000 0001 1013 7965Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland
| | - Urho Kujala
- grid.9681.60000 0001 1013 7965Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland
| | - Jari Parkkari
- grid.9681.60000 0001 1013 7965Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland ,Tampere Research Center of Sports Medicine, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland
| | - Kai Savonen
- grid.419013.eKuopio Research Institute of Exercise Medicine, Haapaniementie 16, FI-70100 Kuopio, Finland ,grid.410705.70000 0004 0628 207XDepartment of Clinical Physiology and Nuclear Medicine, Science Service Center, Kuopio University Hospital, P.O. Box 100, FI-70029 KYS, Kuopio, Finland
| | - Maarit Valtonen
- grid.419101.c0000 0004 7442 5933Research Institute for Olympic Sports, Rautpohjankatu 6, FI-40700 Jyväskylä, Finland
| | - Tommi Vasankari
- grid.415179.f0000 0001 0868 5401UKK Institute of Health Promotion Research, Kaupinpuistonkatu 1, FI-33500 Tampere, Finland ,grid.502801.e0000 0001 2314 6254Faculty of Medicine and Health Technology, Tampere University, Kalevantie 4, FI-33014 Tampere, Finland
| | - Jari Villberg
- grid.9681.60000 0001 1013 7965Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland
| | - Marja Vanhala
- grid.417779.b0000 0004 0450 4652Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., P.O. Box 365, FI-90101 Oulu, Finland ,grid.10858.340000 0001 0941 4873Center for Life Course Health Research, Faculty of Medicine, University of Oulu, P.O. Box 5000, FI-90014 Oulu, Finland ,grid.10858.340000 0001 0941 4873Medical Research Center, University of Oulu and Oulu University Hospital, P.O. Box 8000, FI-90014 Oulu, Finland
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Kytö M, Markussen LT, Marttinen P, Jacucci G, Niinistö S, Virtanen SM, Korhonen TE, Sievänen H, Vähä-Ypyä H, Korhonen I, Heinonen S, Koivusalo SB. Comprehensive self-tracking of blood glucose and lifestyle with a mobile application in the management of gestational diabetes: a study protocol for a randomised controlled trial (eMOM GDM study). BMJ Open 2022; 12:e066292. [PMID: 36344008 PMCID: PMC9644362 DOI: 10.1136/bmjopen-2022-066292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Gestational diabetes (GDM) causes various adverse short-term and long-term consequences for the mother and child, and its incidence is increasing globally. So far, the most promising digital health interventions for GDM management have involved healthcare professionals to provide guidance and feedback. The principal aim of this study is to evaluate the effects of comprehensive and real-time self-tracking with eMOM GDM mobile application (app) on glucose levels in women with GDM, and more broadly, on different other maternal and neonatal outcomes. METHODS AND ANALYSIS This randomised controlled trial is carried out in Helsinki metropolitan area. We randomise 200 pregnant women with GDM into the intervention and the control group at gestational week (GW) 24-28 (baseline, BL). The intervention group receives standard antenatal care and the eMOM GDM app, while the control group will receive only standard care. Participants in the intervention group use the eMOM GDM app with continuous glucose metre (CGM) and activity bracelet for 1 week every month until delivery and an electronic 3-day food record every month until delivery. The follow-up visit after intervention takes place 3 months post partum for both groups. Data are collected by laboratory blood tests, clinical measurements, capillary glucose measures, wearable sensors, air displacement plethysmography and digital questionnaires. The primary outcome is fasting plasma glucose change from BL to GW 35-37. Secondary outcomes include, for example, self-tracked capillary fasting and postprandial glucose measures, change in gestational weight gain, change in nutrition quality, change in physical activity, medication use due to GDM, birth weight and fat percentage of the child. ETHICS AND DISSEMINATION The study has been approved by Ethics Committee of the Helsinki and Uusimaa Hospital District. The results will be presented in peer-reviewed journals and at conferences. TRIAL REGISTRATION NUMBER NCT04714762.
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Affiliation(s)
- Mikko Kytö
- Department of IT Management, Helsinki University Hospital, Helsinki, Finland
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Lisa Torsdatter Markussen
- Department of IT Management, Helsinki University Hospital, Helsinki, Finland
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Pekka Marttinen
- Department of Computer Science, Aalto University, Aalto, Finland
| | - Giulio Jacucci
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Sari Niinistö
- Department of Public Health, Welfare Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Suvi M Virtanen
- Department of Public Health and Welfare, The National Institute for Health and Welfare, Helsinki, Finland
- Faculty of Social Sciences, Unit of Health Sciences, University of Tampere, Tampere, Finland
| | - Tuuli E Korhonen
- Department of Public Health, Welfare Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Harri Sievänen
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - Henri Vähä-Ypyä
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - Ilkka Korhonen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Seppo Heinonen
- Department of Obstetrics and Gynaecology, Helsinki University Central Hospital, Helsinki, Finland
| | - Saila B Koivusalo
- Department of Obstetrics and Gynaecology, Helsinki University Central Hospital, Helsinki, Finland
- Department of Obstetrics and Gynecology, Turku University Hospital, Turku, Finland
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Koivula T, Lempiäinen S, Laine S, Sjöros T, Vähä-Ypyä H, Garthwaite T, Löyttyniemi E, Sievänen H, Vasankari T, Knuuti J, Heinonen IHA. Cross-Sectional Associations of Body Adiposity, Sedentary Behavior, and Physical Activity with Hemoglobin and White Blood Cell Count. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192114347. [PMID: 36361221 PMCID: PMC9657926 DOI: 10.3390/ijerph192114347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND This study examined whether hemoglobin (Hb) and white blood cell count (WBC) associate with body adiposity and other cardiometabolic risk factors, as well as accelerometer-measured sedentary behavior (SB) and physical activity (PA), when adjusted for body mass index (BMI). METHODS The cross-sectional analysis included 144 participants (42 men) with a mean age of 57.0 years and a mean BMI of 31.7 kg/m2. SB and standing time, breaks in sedentary time and PA were measured during four consecutive weeks with hip-worn accelerometers. A fasting blood sample was collected from each participant during the 4-week measurement period and analyzed using Sysmex XN and Cobas 8000 c702 analyzers. Associations of WBC, Hb and other red blood cell markers with cardiometabolic risk factors and physical activity were examined by Pearson's partial correlation coefficient test and with linear mixed regression models. RESULTS In sex- and age-adjusted correlation analyses both BMI and waist circumference correlated positively with Hb, WBC, red blood cell count (RBC), and hematocrit. Hb was also positively correlated with systolic blood pressure, insulin resistance scores, liver enzymes, LDL, and triglyceride levels. Sedentary time correlated positively with WBC, whereas standing time correlated negatively with WBC. Lying time correlated positively with WBC, RBC, hematocrit, and Hb. Regarding SB and PA measures, only the association between lying time and RBC remained significant after adjustment for the BMI. CONCLUSION We conclude that body adiposity, rather than components of SB or PA, associates with Hb levels and WBC, which cluster with general metabolic derangement.
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Affiliation(s)
- Tiia Koivula
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | - Salla Lempiäinen
- Oncology Clinic, Turku University Hospital, 20520 Turku, Finland
| | - Saara Laine
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | - Tanja Sjöros
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | | | - Taru Garthwaite
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | | | | | | | - Juhani Knuuti
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
| | - Ilkka H. A. Heinonen
- Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
- Rydberg Laboratory of Applied Sciences, University of Halmstad, 30118 Halmstad, Sweden
- Correspondence: ; Tel.: +358-2-3138145
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Relationship between liver fat content and lifestyle factors in adults with metabolic syndrome. Sci Rep 2022; 12:17428. [PMID: 36261605 PMCID: PMC9581946 DOI: 10.1038/s41598-022-22361-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 10/13/2022] [Indexed: 01/12/2023] Open
Abstract
The aim of this study was to investigate the associations between liver fat content (LFC), sedentary behaviour (SB), physical activity (PA), fitness, diet, body composition, and cardiometabolic risk factors in adults with metabolic syndrome. A total of 44 sedentary adults (mean age 58 [SD 7] years; 25 women) with overweight or obesity participated. LFC was assessed with magnetic resonance spectroscopy and imaging, SB and PA with hip-worn accelerometers (26 [SD 3] days), fitness by maximal bicycle ergometry, body composition by air displacement plethysmography and nutrient intake by 4-day food diaries. LFC was not independently associated with SB, PA or fitness. Adjusted for sex and age, LFC was associated with body fat%, body mass index, waist circumference, triglycerides, alanine aminotransferase, and with insulin resistance markers. There was and inverse association between LFC and daily protein intake, which persisted after further adjusment with body fat%. LFC is positively associated with body adiposity and cardiometabolic risk factors, and inversely with daily protein intake. SB, habitual PA or fitness are not independent modulators of LFC. However, as PA is an essential component of healthy lifestyle, it may contribute to liver health indirectly through its effects on body composition in adults with metabolic syndrome.
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Rautakallio-Järvinen P, Kunvik S, Laaksonen M, Salonoja M, Fogelholm L, Suominen M, Sievänen H, Vähä-Ypyä H, Nykänen I, Schwab U. Risk of Malnutrition and Insufficient Protein Intake among Older People Living at Home: Baseline Findings of the Power Meals Study. J Nutr Gerontol Geriatr 2022; 41:257-269. [PMID: 36459463 DOI: 10.1080/21551197.2022.2148803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
This study aimed to investigate the nutritional status, nutrient intake and associated factors among older home care clients, caregivers and care recipients (≥65 years) living at home. There were a total of 78 participants, with a mean age of 78 ± 7.4 years. Nutritional status was assessed with the Mini Nutritional Assessment (MNA), nutrient intake with a three-day food record, sarcopenia with a Simple Questionnaire to Rapidly Diagnose Sarcopenia (SARC) and depression with The Geriatric Depression Scale (GDS-15). Almost one-third (32.1%) were at risk of malnutrition and 2.6% suffered from malnutrition. Impaired nutritional status was associated with depressive symptoms (β = -0.277, p = 0.015) and risk of sarcopenia (SARC points) (β = -0.401, p = 0.001). Mean protein intake was 0.9 ± 0.3 g/adjusted body weight/day. Intakes of protein and multiple vitamins and minerals were lower than recommended. In conclusion, a third of older people living at home were at risk of malnutrition or malnourished. Multiple physical, psychological and social factors in older adults were associated with nutritional status and protein intake.
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Affiliation(s)
- Petra Rautakallio-Järvinen
- Pori Health and Social Services, Pori, Finland.,School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | | | | | | | | | - Merja Suominen
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Irma Nykänen
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Ursula Schwab
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Kuopio, Finland
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Vähä-Ypyä H, Sievänen H, Husu P, Tokola K, Mänttäri A, Heinonen OJ, Heiskanen J, Kaikkonen KM, Savonen K, Kokko S, Vasankari T. How adherence to the updated physical activity guidelines should be assessed with accelerometer? Eur J Public Health 2022; 32:i50-i55. [PMID: 36031824 PMCID: PMC9421411 DOI: 10.1093/eurpub/ckac078] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background The aerobic part of the recently updated physical activity (PA) guidelines for adults recommends at least 150 min of moderate or at least 75 of vigorous-intensity PA or an equivalent combination of both. PA can be accumulated of any bout duration. On an absolute scale, moderate-intensity threshold is 3 metabolic equivalents (METs) and vigorous 6 METs. On a scale relative to individual’s personal capacity, moderate-intensity threshold is 40% and vigorous 60% of the oxygen uptake reserve. In this study, the adherence to the new guidelines was evaluated using both absolute and relative thresholds. Methods Totally, 1645 adults aged 20–64 years, participated in this population-based study and their cardiorespiratory fitness (CRF) was estimated with 6-min walking test. The participants with estimated maximal oxygen uptake <7.9 MET were categorized as low CRF group and the others as adequate CRF group. The participants were instructed to wear a triaxial hip-worn accelerometer for 1 week and their adherence to PA guidelines was assessed from the accelerometer data. Results The adequate CRF group had higher adherence to PA guidelines with the absolute thresholds, but the use of relative thresholds inverted the results. The adherence varied from 20% to 99% in the total sample depending on the analysis parameters of accelerometer data. Conclusions The absolute thresholds provide a more appropriate basis to assess the adherence to PA guidelines in population-based samples and interventions. The use of individually determined relative thresholds may be more useful for individual exercise prescriptions in PA counseling.
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Affiliation(s)
- Henri Vähä-Ypyä
- The UKK-Institute for Health Promotion Research, Tampere, Finland
| | - Harri Sievänen
- The UKK-Institute for Health Promotion Research, Tampere, Finland
| | - Pauliina Husu
- The UKK-Institute for Health Promotion Research, Tampere, Finland
| | - Kari Tokola
- The UKK-Institute for Health Promotion Research, Tampere, Finland
| | - Ari Mänttäri
- The UKK-Institute for Health Promotion Research, Tampere, Finland
| | | | - Jarmo Heiskanen
- LIKES Research Centre for Physical Activity and Health, Jyväskylä, Finland
| | | | - Kai Savonen
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.,Kuopio University Hospital, Kuopio, Finland
| | - Sami Kokko
- University of Jyväskylä, Jyväskylä, Finland
| | - Tommi Vasankari
- The UKK-Institute for Health Promotion Research, Tampere, Finland.,Faculty of Medicine and Health Technology, Military medicine, Tampere University, Tampere, Finland
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Kolu P, Raitanen J, Sievänen H, Tokola K, Vähä-Ypyä H, Nieminen E, Vasankari T. Cardiorespiratory fitness is associated with sickness absence and work ability. Occup Med (Lond) 2022; 72:478-485. [PMID: 35960163 PMCID: PMC9578675 DOI: 10.1093/occmed/kqac070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background Physical activity may sustain the physical aspect of work ability despite health problems such as musculoskeletal disorders and anxiety, which are the most prevalent work-related health problem in Europe. Aims To evaluate the association of Finnish municipal workers’ accelerometer-measured physical activity, sedentary behaviour, and cardiorespiratory and muscular fitness with their sickness absence levels, perceived work ability and health-related quality of life. Methods In connection with a randomized controlled trial recruiting 185 municipal workers, the authors performed baseline data analysis utilizing quantile regression to examine relationships between the outcome variables (all-cause sickness absence for 6 months, perceived work ability and health-related quality of life) and cardiorespiratory fitness, muscular fitness, and physical activity, and sedentary behaviour. All results were adjusted for age, sex and education level. Results The median duration of all-cause sickness absence over the preceding 6 months was lowest among participants with high cardiorespiratory fitness relative to the lowest tertile (2.0 versus 6.0 days; P < 0.05), and the highest perceived work ability was found among those with high or moderate cardiorespiratory fitness as compared to the lowest tertile (8.0 versus 7.0; P < 0.001). Moderate-to-vigorous physical activity correlated positively with the physical component of health-related quality of life (P < 0.01) and with a high cardiorespiratory-fitness level (P < 0.05). Conclusions High cardiorespiratory fitness was associated with decreased all-cause sickness absence days and improved work ability among municipal workers.
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Affiliation(s)
- P Kolu
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - J Raitanen
- UKK Institute for Health Promotion Research, Tampere, Finland.,Faculty of Social Sciences (Health Sciences) of Tampere University, Tampere, Finland
| | - H Sievänen
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - K Tokola
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - H Vähä-Ypyä
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - E Nieminen
- Management of Human Resources, City of Nokia, Nokia, Finland
| | - T Vasankari
- UKK Institute for Health Promotion Research, Tampere, Finland.,Faculty of Medicine and Health Technology of Tampere University, Tampere, Finland
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TJURIN PETRA, NIEMELÄ MAISA, KANGAS MAARIT, NAUHA LAURA, VÄHÄ-YPYÄ HENRI, SIEVÄNEN HARRI, KORPELAINEN RAIJA, FARRAHI VAHID, JÄMSÄ TIMO. Cross-Sectional Associations of Sedentary Behavior and Sitting with Serum Lipid Biomarkers in Midlife. Med Sci Sports Exerc 2022; 54:1261-1270. [PMID: 35320138 PMCID: PMC9301992 DOI: 10.1249/mss.0000000000002916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Physical inactivity, excessive total time spent in sedentary behavior (SB) and prolonged sedentary bouts have been proposed to be risk factors for chronic disease morbidity and mortality worldwide. However, which patterns and postures of SB have the most negative impacts on health outcomes is still unclear. This population-based study aimed to investigate the independent associations of the patterns of accelerometer-based overall SB and sitting with serum lipid biomarkers at different moderate- to vigorous-intensity physical activity (MVPA) levels. METHODS Physical activity and SB were measured in a birth cohort sample ( N = 3272) at 46 yr using a triaxial hip-worn accelerometer in free-living conditions for 14 d. Raw acceleration data were classified into SB and PA using a machine learning-based model, and the bouts of overall SB and sitting were identified from the classified data. The participants also answered health-related questionnaires and participated in clinical examinations. Associations of overall SB (lying and sitting) and sitting patterns with serum lipid biomarkers were investigated using linear regression. RESULTS The overall SB patterns were more consistently associated with serum lipid biomarkers than the sitting patterns after adjustments. Among the participants with the least and the most MVPA, high total time spent in SB and SB bouts of 15-29.99 and ≥30 min were associated with impaired lipid metabolism. Among those with moderate amount of MVPA, higher time spent in SB and SB bouts of 15-29.99 min was unfavorably associated with serum lipid biomarkers. CONCLUSIONS The associations between SB patterns and serum lipid biomarkers were dependent on MVPA level, which should be considered when planning evidence-based interventions to decrease SB in midlife.
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Affiliation(s)
- PETRA TJURIN
- Research Unit of Medical Imaging, Physics and Technology (MIPT), University of Oulu, Oulu, FINLAND
- Department of Medical Rehabilitation, Oulu University Hospital, Oulu, FINLAND
| | - MAISA NIEMELÄ
- Research Unit of Medical Imaging, Physics and Technology (MIPT), University of Oulu, Oulu, FINLAND
- Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, FINLAND
| | - MAARIT KANGAS
- Northern Finland Birth Cohort Center, University of Oulu, Oulu, FINLAND
| | - LAURA NAUHA
- Research Unit of Medical Imaging, Physics and Technology (MIPT), University of Oulu, Oulu, FINLAND
| | - HENRI VÄHÄ-YPYÄ
- UKK Institute for Health Promotion Research, Tampere, FINLAND
| | - HARRI SIEVÄNEN
- UKK Institute for Health Promotion Research, Tampere, FINLAND
| | - RAIJA KORPELAINEN
- Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, FINLAND
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute, Oulu, FINLAND
- Center for Life Course Health Research, University of Oulu, Oulu, FINLAND
| | - VAHID FARRAHI
- Research Unit of Medical Imaging, Physics and Technology (MIPT), University of Oulu, Oulu, FINLAND
| | - TIMO JÄMSÄ
- Research Unit of Medical Imaging, Physics and Technology (MIPT), University of Oulu, Oulu, FINLAND
- Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, FINLAND
- Department of Diagnostic Radiology, Oulu University Hospital, Oulu, FINLAND
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Accelerometer-Based Sedentary Time, Physical Activity, and Serum Metabolome in Young Men. Metabolites 2022; 12:metabo12080700. [PMID: 36005572 PMCID: PMC9414649 DOI: 10.3390/metabo12080700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/07/2022] [Accepted: 07/21/2022] [Indexed: 12/10/2022] Open
Abstract
Physical activity (PA) has been shown to associate with many health benefits but studies with metabolome-wide associations with PA are still lacking. Metabolome studies may deepen the mechanistic understanding of PA on the metabolic pathways related to health outcomes. The aim of the present study was to study the association of accelerometer based sedentary time (SB) and PA with metabolome measures. SB and PA were measured by a hip-worn accelerometer in 314 young adult men (age: mean 28, standard deviation 7 years). Metabolome was analyzed from fasting serum samples consisting of 66 metabolome measures (nuclear magnetic resonance-based metabolomics). The associations were analyzed using a single and compositional approach with regression analysis. The compositional analysis revealed that 4 metabolome variables were significantly (γ: 0.32−0.44, p ≤ 0.002), and 13 variables with a trend towards significance (p < 0.05), associated with SB with varying metabolic pathways. Trends towards significant associations (p < 0.05) were observed with 5 variables with moderate-to-vigorous and 1 variable with light intensity PA with varying metabolic pathways. The present study revealed possible mechanistic pathways relevant for the interaction between especially SB but also PA of moderate-to-vigorous intensity with ketone bodies and amino acid concentration related to exercised-induced energy production and lipid metabolism.
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Vasankari S, Hartikainen J, Vasankari V, Anttila V, Tokola K, Vähä-Ypyä H, Husu P, Sievänen H, Vasankari T, Halonen J. Objectively measured preoperative physical activity and sedentary behaviour among Finnish patients scheduled for elective cardiac procedures: baseline results from randomized controlled trial. BMC Sports Sci Med Rehabil 2022; 14:130. [PMID: 35842711 PMCID: PMC9287962 DOI: 10.1186/s13102-022-00522-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 06/24/2022] [Indexed: 12/02/2022]
Abstract
Background We investigated preoperative physical activity (PA) and sedentary behaviour (SB) in patients scheduled for elective cardiac procedures and compared them with population-based sample of Finnish adults. Methods Cardiac patients (n = 139) undergoing cardiac operations carried a triaxial accelerometer for seven days during the month before the procedure. Patients were categorised into four groups according to the procedure: percutaneous coronary intervention or coronary angiography (PCI-CA), coronary artery bypass grafting (CABG), aortic valve replacement (AVR) and mitral valve surgery (MVS). The raw accelerometer data was analyzed with dedicated algorithms to determine metabolic equivalents (METs, 3.5 mL/kg/min of oxygen consumption) of PA. The intensity of PA was divided into two categories: light (LPA, 1.5–2.9 METs) and moderate-to-vigorous (MVPA, ≥ 3.0 METs), while SB represented intensity < 1.5 MET without movements. SB and PA were described as daily means and accumulation from different bout lengths. Daily standing, steps and mean and peak MET-values were calculated. The results were compared between the patient groups and against the reference group from a population-based study FinFit2017. Results Cardiac patients had fewer daily steps than the FinFit population (p = 0.01), and less SB accumulating from < 20 min bouts (p = 0.002) but more from 20 to 60 min bouts (p = 0.002). Particularly, CABG group had less daily MVPA (p = 0.002) and MVPA accumulating from > 10 min bouts (p < 0.001) than the FinFit population. Conclusions We found large differences in PA and SB between the patient groups and the FitFit population, CABG group having the worst activity profile. Also, the variation within the patient groups was wide, which should be considered to individualise the rehabilitation programs postoperatively. Trial registration clinicaltrials.gov (NCT03470246). Registered 19 March 2018, https://clinicaltrials.gov/ct2/show/NCT03470246.
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Affiliation(s)
- Sini Vasankari
- Derpartment of Clinical Medicine, University of Turku, Turku, Finland.
| | | | - Ville Vasankari
- Department of Neurosurgery, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Vesa Anttila
- Heart Center, Turku University Hospital, Turku, Finland
| | - Kari Tokola
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Pauliina Husu
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland.,The Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jari Halonen
- Heart Center, Kuopio University Hospital (KUH), Kuopio, Finland
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RANTALAINEN TIMO, KOIVUNEN KAISA, PORTEGIJS ERJA, RANTANEN TAINA, PALMBERG LOTTA, KARAVIRTA LAURA, CHASTIN SEBASTIEN. Is Complexity of Daily Activity Associated with Physical Function and Life-Space Mobility among Older Adults? Med Sci Sports Exerc 2022; 54:1210-1217. [PMID: 35220366 PMCID: PMC9208811 DOI: 10.1249/mss.0000000000002883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Information about mobility and physical function may be encoded in the complexity of daily activity pattern. Therefore, daily activity pattern complexity metrics could provide novel insight into the relationship between daily activity behavior and health. The purpose of the present study was to examine the association between the complexity of daily activity behavior and the mobility and physical function among community-dwelling older adults 75, 80, and 85 yr of age. METHODS A total of 309 participants wore accelerometers concurrently on the thigh and the trunk for at least three consecutive days. Five activity states (lying, sitting, standing, walking, or activity other than walking) were defined in three different temporal grains (5 s, 1 min, and 5 min), and Lempel-Ziv complexity was evaluated. We assessed complexity of daily activity behavior using the life-space mobility and physical function with distance in preferred pace 6-min walk and the Short Physical Performance Battery. RESULTS Weak positive associations were observed between the complexity of daily activity and the mobility and physical function at the finest temporal grains in both sexes (Spearman rho = 0.19 to 0.27, P < 0.05). No significant associations were observed in the coarsest temporal grain in either sex. CONCLUSIONS Lempel-Ziv estimates of daily activity complexity with a fine temporal grain seem to be associated with community-dwelling older adults' physical function. The coarsest 5-min temporal grain may have smoothed out physiologically meaningful short activity bouts. Because complexity encodes information related to timing, intensity, and patterning of behavior, complexity of activity could be an informative indicator of future physical function and mobility.
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Affiliation(s)
- TIMO RANTALAINEN
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - KAISA KOIVUNEN
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - ERJA PORTEGIJS
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
- Department of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, THE NETHERLANDS
| | - TAINA RANTANEN
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - LOTTA PALMBERG
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - LAURA KARAVIRTA
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - SEBASTIEN CHASTIN
- School of Health and Life Science, Glasgow Caledonian University, Glasgow, UNITED KINGDOM
- Department of movement and sport sciences, Ghent University, Ghent, BELGIUM
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Giurgiu M, Timm I, Becker M, Schmidt S, Wunsch K, Nissen R, Davidovski D, Bussmann JBJ, Nigg CR, Reichert M, Ebner-Priemer UW, Woll A, von Haaren-Mack B. Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review. JMIR Mhealth Uhealth 2022; 10:e36377. [PMID: 35679106 PMCID: PMC9227659 DOI: 10.2196/36377] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 12/13/2022] Open
Abstract
Background Wearable technology is a leading fitness trend in the growing commercial industry and an established method for collecting 24-hour physical behavior data in research studies. High-quality free-living validation studies are required to enable both researchers and consumers to make guided decisions on which study to rely on and which device to use. However, reviews focusing on the quality of free-living validation studies in adults are lacking. Objective This study aimed to raise researchers’ and consumers’ attention to the quality of published validation protocols while aiming to identify and compare specific consistencies or inconsistencies between protocols. We aimed to provide a comprehensive and historical overview of which wearable devices have been validated for which purpose and whether they show promise for use in further studies. Methods Peer-reviewed validation studies from electronic databases, as well as backward and forward citation searches (1970 to July 2021), with the following, required indicators were included: protocol must include real-life conditions, outcome must belong to one dimension of the 24-hour physical behavior construct (intensity, posture or activity type, and biological state), the protocol must include a criterion measure, and study results must be published in English-language journals. The risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool with 9 questions separated into 4 domains (patient selection or study design, index measure, criterion measure, and flow and time). Results Of the 13,285 unique search results, 222 (1.67%) articles were included. Most studies (153/237, 64.6%) validated an intensity measure outcome such as energy expenditure. However, only 19.8% (47/237) validated biological state and 15.6% (37/237) validated posture or activity-type outcomes. Across all studies, 163 different wearables were identified. Of these, 58.9% (96/163) were validated only once. ActiGraph GT3X/GT3X+ (36/163, 22.1%), Fitbit Flex (20/163, 12.3%), and ActivPAL (12/163, 7.4%) were used most often in the included studies. The percentage of participants meeting the quality criteria ranged from 38.8% (92/237) to 92.4% (219/237). On the basis of our classification tree to evaluate the overall study quality, 4.6% (11/237) of studies were classified as low risk. Furthermore, 16% (38/237) of studies were classified as having some concerns, and 72.9% (173/237) of studies were classified as high risk. Conclusions Overall, free-living validation studies of wearables are characterized by low methodological quality, large variability in design, and focus on intensity. Future research should strongly aim at biological state and posture or activity outcomes and strive for standardized protocols embedded in a validation framework. Standardized protocols for free-living validation embedded in a framework are urgently needed to inform and guide stakeholders (eg, manufacturers, scientists, and consumers) in selecting wearables for self-tracking purposes, applying wearables in health studies, and fostering innovation to achieve improved validity.
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Affiliation(s)
- Marco Giurgiu
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Irina Timm
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Marlissa Becker
- Unit Physiotherapy, Department of Orthopedics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Steffen Schmidt
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Kathrin Wunsch
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Rebecca Nissen
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Denis Davidovski
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Johannes B J Bussmann
- Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Claudio R Nigg
- Health Science Department, Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Markus Reichert
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Department of eHealth and Sports Analytics, Faculty of Sport Science, Ruhr-University Bochum, Bochum, Germany
| | - Ulrich W Ebner-Priemer
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Alexander Woll
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Birte von Haaren-Mack
- Department of Health and Social Psychology, Institute of Psychology, German Sport University, Cologne, Germany
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Accelerometer-Measured Physical Activity Levels and Patterns Vary in an Age- and Sex-Dependent Fashion among Finnish Children and Adolescents. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116950. [PMID: 35682533 PMCID: PMC9180141 DOI: 10.3390/ijerph19116950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 05/31/2022] [Accepted: 06/04/2022] [Indexed: 11/17/2022]
Abstract
Background: The purpose of this study was to measure physical activity (PA), sedentary behavior (SB), and hour-by-hour PA patterns with an accelerometer in a population-based sample of Finnish children and adolescents. Methods: A total of 3274 participants (3rd, 5th, 7th, 9th graders) from 176 schools wore a hip-worn triaxial accelerometer for seven days during waking hours. Mean amplitude deviation of the acceleration data was used to assess PA intensity that was converted to metabolic equivalents and categorized into light, moderate, and vigorous PA. Angle for posture estimation was used to measure SB and standing. Results: The majority of participants’ PA consisted of light PA, and they were sedentary for more than half of their waking hours. Children were more active than adolescents, and boys were more active than girls. Participants took, on average, 9890 steps daily, and one third met the PA recommendation. The participants were divided into tertiles based on daily steps to investigate the variation in PA patterns. Compared to the least active tertile, the most active tertile took twice as many steps on weekdays and nearly three times as many steps on the weekend. Conclusions: The majority of the participants were not active enough, and there was a great variation in PA levels and patterns, especially among the adolescents and on weekends.
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Smit DJM, van Oostrom SH, Engels JA, van der Beek AJ, Proper KI. A study protocol of the adaptation and evaluation by means of a cluster-RCT of an integrated workplace health promotion program based on a European good practice. BMC Public Health 2022; 22:1028. [PMID: 35597983 PMCID: PMC9123680 DOI: 10.1186/s12889-022-13352-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 05/03/2022] [Indexed: 11/10/2022] Open
Abstract
Background An integrated workplace health promotion program (WHPP) which targets multiple lifestyle factors at different levels (individual and organizational) is potentially more effective than a single component WHPP. The aim of this study is to describe the protocol of a study to tailor a European good practice of such an integral approach to the Dutch context and to evaluate its effectiveness and implementation. Methods This study consists of two components. First, the five steps of the Map of Adaptation Process (MAP) will be followed to tailor the Lombardy WHP to the Dutch context. Both the employers and employees will be actively involved in this process. Second, the effectiveness of the integrated Dutch WHPP will be evaluated in a clustered randomized controlled trial (C-RCT) with measurements at baseline, 6 months and 12 months. Clusters will be composed based on working locations or units - dependent on the organization’s structure and randomization within each organization takes place after baseline measurements. Primary outcome will be a combined lifestyle score. Secondary outcomes will be the separate lifestyle behaviors targeted, stress, work-life balance, need for recovery, general health, and well-being. Simultaneously, a process evaluation will be conducted. The study population will consist of employees from multiple organizations in different industry sectors. Organizations in the intervention condition will receive the integrated Dutch WHPP during 12 months, consisting of an implementation plan and a catalogue with activities for multiple lifestyle themes on various domains: 1) screening and support; 2) information and education; 3) adjustments in the social, digital or physical environment; and 4) policy. Discussion The MAP approach provides an appropriate framework to systematically adapt an existing WHPP to the Dutch context, involving both employers and employees and retaining the core elements, i.e. the catalogue with evidence-based activities on multiple lifestyle themes and domains enabling an integrated approach. The following process and effect evaluation will contribute to further insight in the actual implementation and effectiveness of the integrated WHP approach. Trial registration NTR (trialregister.nl), NL9526. Registered on 3 June 2021. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13352-0.
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Affiliation(s)
- Denise J M Smit
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, 3721 MA, The Netherlands. .,Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, 1081 BT, The Netherlands.
| | - Sandra H van Oostrom
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, 3721 MA, The Netherlands
| | - Josephine A Engels
- Occupation & Health Research Group, HAN University of Applied Sciences, Nijmegen, 6525 EN, the Netherlands
| | - Allard J van der Beek
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, 1081 BT, The Netherlands
| | - Karin I Proper
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, 3721 MA, The Netherlands.,Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, 1081 BT, The Netherlands
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Norha J, Hautala AJ, Sjöros T, Laine S, Garthwaite T, Knuuti J, Löyttyniemi E, Vähä-Ypyä H, Sievänen H, Vasankari T, Heinonen IHA. Standing time and daily proportion of sedentary time are associated with pain-related disability in a one month accelerometer measurement in adults with overweight or obesity. Scand J Pain 2022; 22:317-324. [PMID: 34582633 DOI: 10.1515/sjpain-2021-0108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/09/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES The association between the subjective experience of pain-related disability (PRD) and device-measured physical activity (PA) and sedentary behavior (SB) in overweight and obese adults is not well known. The aim of this study was to investigate the associations of pain markers with accelerometer-measured SB duration and different intensities of PA among physically inactive middle-aged adults with overweight or obesity. METHODS This cross-sectional analysis included 72 subjects (27 men) with mean age of 57.9 (SD 6.7) years and mean BMI of 31.6 (SD 4.1) kg/m2. SB and standing time (ST), breaks in sedentary time, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) were measured for four consecutive weeks (mean 25 days, SD 4) with a hip-worn triaxial accelerometer. Headache, musculoskeletal pain, back pain, and PRD were assessed by visual analog scales (VAS) and using the Oswestry disability index (ODI). RAND-36 questionnaire was applied to assess health-related quality of life. The associations were studied by linear models. RESULTS ST was positively and SB proportion was negatively associated with PRD when adjusted for age, sex, BMI, accelerometry duration, MVPA, pain medication use, and general health perceptions assessed by RAND-36. No associations were found between ST and back pain. SB or different PA intensities were not associated with pain experience at specific sites. CONCLUSIONS Longer daily ST, but not LPA or MVPA is associated with higher level of PRD. Correspondingly, higher proportion of SB is associated with lower level of PRD. This suggests that individuals with PRD prefer to stand, possibly to cope with pain. These results may highlight the importance of habitual standing behaviors in coping with experienced PRD in adults with overweight or obesity.
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Affiliation(s)
- Jooa Norha
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Arto J Hautala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Cardiovascular Research Group, Division of Cardiology, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Tanja Sjöros
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Saara Laine
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Taru Garthwaite
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Harri Sievänen
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Ilkka H A Heinonen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
- Rydberg Laboratory of Applied Sciences, University of Halmstad, Halmstad, Sweden
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Zovko V, Djuric S, Sember V, Jurak G. Corrigendum: Are Family Physical Activity Habits Passed on to Their Children? Front Psychol 2022; 13:824595. [PMID: 35356355 PMCID: PMC8959113 DOI: 10.3389/fpsyg.2022.824595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 01/28/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Vinko Zovko
- Institute of Kinesiology, Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia.,Educational Unit for Sports, School of Economics and Business, University of Ljubljana, Ljubljana, Slovenia
| | - Sasa Djuric
- Institute of Kinesiology, Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Vedrana Sember
- Institute of Kinesiology, Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Gregor Jurak
- Institute of Kinesiology, Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
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Effects of reduced sedentary time on cardiometabolic health in adults with metabolic syndrome: A three-month randomized controlled trial. J Sci Med Sport 2022; 25:579-585. [DOI: 10.1016/j.jsams.2022.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/31/2022] [Accepted: 04/03/2022] [Indexed: 12/18/2022]
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Löppönen A, Karavirta L, Koivunen K, Portegijs E, Rantanen T, Finni T, Delecluse C, Van Roie E, Rantalainen T. Association between free-living sit-to-stand transition characteristics, and lower-extremity performance, fear of falling, and stair negotiation difficulties among community-dwelling 75 to 85-year-old adults. J Gerontol A Biol Sci Med Sci 2022; 77:1644-1653. [PMID: 35313347 PMCID: PMC9373963 DOI: 10.1093/gerona/glac071] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Indexed: 11/28/2022] Open
Abstract
Background Good sit-to-stand (STS) performance is an important factor in maintaining functional independence. This study investigated whether free-living STS transition volume and intensity, assessed by a thigh-worn accelerometer, is associated with characteristics related to functional independence. Methods Free-living thigh-worn accelerometry was recorded continuously for 3–7 days in a population-based sample of 75-, 80-, and 85-year-old community-dwelling people (479 participants; women n = 287, men n = 192). The records were used to evaluate the number and intensity (angular velocity of the STS phase) of STS transitions. Associations with short physical performance battery (SPPB), 5-times-sit-to-stand test (5×STS), isometric knee extension force, self-reported fear of falls, and self-reported difficulty in negotiating stairs were also assessed. Results The number of STS transitions, mean and maximal angular velocity were lower in older age groups (p < .05). All variables were higher in men than in women (p < .001) and were positively associated with SPPB total points, knee extension force (r ranged from 0.18 to 0.39, all p < .001) and negatively associated with 5×STS (r = −0.13 – −0.24, all p < .05), lower extremity functional limitations (p < .01), fear of falls (p < .01), and stair negotiation difficulties (p < .01). Conclusions Free-living STS characteristics were related to lower-extremity performance, lower extremity functional limitations, self-reported fear of falls, and stair negotiation difficulties, which can be a sensitive indicator of impending functional decline. Moreover, STS transitions may provide an indicator of adequacy of lower-limb muscle strength among older individuals.
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Affiliation(s)
- Antti Löppönen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland.,Department of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium
| | - Laura Karavirta
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Kaisa Koivunen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Erja Portegijs
- University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands
| | - Taina Rantanen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Taija Finni
- Faculty of Sport and Health Sciences and Neuromuscular Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Christophe Delecluse
- Department of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium
| | - Evelien Van Roie
- Department of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium
| | - Timo Rantalainen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
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Appelqvist-Schmidlechner K, Raitanen J, Vasankari T, Kyröläinen H, Häkkinen A, Honkanen T, Vaara JP. Relationship Between Accelerometer-Based Physical Activity, Sedentary Behavior, and Mental Health in Young Finnish Men. Front Public Health 2022; 10:820852. [PMID: 35252097 PMCID: PMC8894611 DOI: 10.3389/fpubh.2022.820852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/26/2022] [Indexed: 11/13/2022] Open
Abstract
Healthy lifestyle behaviors including physical activity (PA) have been recognized to contribute positively to mental health. Most of the evidence on relationship between PA and mental health relies on self-reported PA results. Device-based measures on PA or sedentary behavior (SB) are less frequently used in mental health research. The present study aimed at examining the relationship between mental health and PA/SB measured by accelerometers in young Finnish men. The sample consisted of 409 men (mean age 28 ± 7 years), who participated in the military refresher training in Finland. Self-rated mental health was measured with Mental Health Inventory (MHI-5) and short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) measuring mental health both from the perspective of mental health problems and mental well-being. PA was measured with accelerometer from the perspective of light, moderate, vigorous, and total activity, as well as SB. Linear regression models and compositional analysis were applied. Age, education, marital status, employment status, BMI, alcohol use and smoking were used as covariates. Evidence on relationship between total PA (standardized regression coefficient 0.340; 95% CI 0.022–0.657, p = 0.036) and SB (standardized regression coefficient −0.340; 95% CI −0.657 to −0.022, p = 0.036) with symptoms of mental health problems was found after adjusting for age, education, marital and employment status. The relationship was marginally significant (p = 0.056) after adjusting also for BMI, alcohol use and smoking. No evidence on relationship between PA or SB and mental well-being was found, neither in standard linear regression analysis nor in compositional approach. In our sample of young adult men, PA seemed to have a stronger relationship with symptoms of mental health problems rather than with mental well-being. The findings lead to a conclusion that all PA per se may not be independently associated with mental well-being in young adult males and raise the question whether the domain of PA and its context play a critical role in these relationships.
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Affiliation(s)
- Kaija Appelqvist-Schmidlechner
- Finnish Institute for Health and Welfare, Mental Health Unit, Helsinki, Finland
- Centre for Military Medicine, Helsinki, Finland
- *Correspondence: Kaija Appelqvist-Schmidlechner
| | - Jani Raitanen
- Urho Kaleva Kekkonen Institute for Health Promotion Research, Tampere, Finland
- Faculty of Social Sciences (Health Sciences), Tampere University, Tampere, Finland
| | - Tommi Vasankari
- Urho Kaleva Kekkonen Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Heikki Kyröläinen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Department of Leadership and Military Pedagogy, National Defence University, Helsinki, Finland
| | - Arja Häkkinen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Department of Physical Medicine and Rehabilitation, Central Hospital of Central Finland, Jyväskylä, Finland
| | | | - Jani P. Vaara
- Department of Leadership and Military Pedagogy, National Defence University, Helsinki, Finland
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Measurement of Physical Fitness and 24/7 Physical Activity, Standing, Sedentary Behavior, and Time in Bed in Working-Age Finns: Study Protocol for FINFIT 2021. Methods Protoc 2022; 5:mps5010007. [PMID: 35076569 PMCID: PMC8788421 DOI: 10.3390/mps5010007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/08/2022] [Accepted: 01/10/2022] [Indexed: 11/29/2022] Open
Abstract
Background: Population studies gathering measured data on fitness and physical behavior, covering physical activity, standing, sedentary behavior, and time in bed, are scarce. This article describes the protocol of the FINFIT 2021 study that measures fitness and physical behavior in a population-based sample of adults and analyzes their associations and dose–response relationships with several health indicators. Methods: The study comprises a stratified random sample of 20–69-year-old men and women (n = 16,500) from seven city-centered regions in Finland. Physical behavior is measured 24/7 by tri-axial accelerometry and analyzed with validated MAD-APE algorithms. Health and fitness examinations include fasting blood samples, measurements of blood pressure, anthropometry, and health-related fitness. Domains of health, functioning, well-being, and socio-demographics are assessed by a questionnaire. The data are being collected between September 2021 and February 2022. Discussion: The study provides population data on physical fitness and physical behavior 24/7. Physical behavior patterns by intensity and duration on an hour-by-hour basis will be provided. In the future, the baseline data will be assessed against prospective register-based data on incident diseases, healthcare utilization, sickness absence, premature retirement, and death. A similar study will be conducted every fourth year with a new random population sample.
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Meh K, Sember V, Đurić S, Vähä-Ypyä H, Rocha P, Jurak G. Reliability and Validity of Slovenian Versions of IPAQ-SF, GPAQ, and EHIS-PAQ for Assessing Physical Activity and Sedentarism of Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:430. [PMID: 35010686 PMCID: PMC8744779 DOI: 10.3390/ijerph19010430] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/23/2021] [Accepted: 12/24/2021] [Indexed: 11/16/2022]
Abstract
Health policies rely on physical activity (PA) and sedentary behavior data collected through PA questionnaires (PAQs). Validity of international PAQs varies among countries. Therefore, it is important to know the validity of the national versions of the PAQs to properly evaluate the results. We conducted a validation study of the Slovenian versions of the International PAQ Short Form (IPAQ-SF), the Global PAQ (GPAQ), and the PAQ used in the European Health Interview Survey (EHIS-PAQ) on 306 healthy adults. The most valid and reliable constructs in all tested were sedentary behavior and vigorous PA (VPA), however the criterion validity of these constructs was low (Spearman's ρ 0.38-0.45 for sedentary behavior and 0.34-0.42 for VPA). Moderate to vigorous PA (MVPA) had low validity (0.26-0.29) despite being used as a standard measure of PA behavior. Participants over-reported MVPA for 17 to 156 min and underreported the sedentary behavior for more than two hours. The test-retest study found high reliability for sedentary behavior (0.69-0.81) and low to moderate reliability for PA behavior (0.42-0.76). The Slovenian versions of the observed PAQs are a useful tool for national PA surveillance, but for qualitative assessment of individual health-related PA behavior they should be combined with accelerometer-based devices.
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Affiliation(s)
- Kaja Meh
- Faculty of Sports, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.S.); (G.J.)
| | - Vedrana Sember
- Faculty of Sports, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.S.); (G.J.)
| | - Saša Đurić
- Liberal Arts Department, General Education, American University of the Middle East, Egaila 54200, Kuwait;
| | | | - Paulo Rocha
- Portuguese Institute of Sport and Youth, 1250-190 Lisbon, Portugal;
| | - Gregor Jurak
- Faculty of Sports, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.S.); (G.J.)
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