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Taylor MY, Osborne JO, Topranin VDM, Engseth TP, Solli GS, Valsdottir D, Andersson E, Øistuen GF, Flatby I, Welde B, Morseth B, Haugen T, Sandbakk Ø, Noordhof DA. Menstrual Cycle Phase has no Influence on Performance-Determining Variables in Endurance-Trained Athletes: The FENDURA Project. Med Sci Sports Exerc 2024:00005768-990000000-00511. [PMID: 38600646 DOI: 10.1249/mss.0000000000003447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
PURPOSE To investigate the effect of the MC and endogenous sex hormone concentrations on performance-determining variables in three distinct MC phases in endurance-trained females. METHODS Twenty-one eumenorrheic trained/highly trained endurance athletes completed a standardized test battery during the early follicular phase (EFP), ovulatory phase (OP), and mid-luteal phase (MLP) for either one (n = 7) or two test cycles (n = 14). MC phases were determined using calendar-based counting, urinary ovulation testing, and verified with serum hormone analysis. MCs were retrospectively classified as eumenorrheic or disturbed. Disturbed MCs were excluded from analysis. The test battery consisted of 4-6 x 5-min submaximal stages with stepwise speed increases, a 30-s all-out double-poling ski ergometer test, and a maximal incremental treadmill running test. RESULTS At a group level, there was no effect of MC phase or the serum concentrations of estrogen and progesterone on peak oxygen uptake ( O 2peak ), oxygen uptake at 4 mmol·L -1 blood lactate concentration, time-to-exhaustion, running economy, or mean 30-s power output (MPO 30s ). Serum testosterone concentration was positively associated with MPO 30s (p = 0.016). Changes in O 2peak from EFP to MLP were inconsistent between individuals and across cycles. CONCLUSIONS None of the measured performance-determining variables were influenced by MC phase or serum estrogen or progesterone concentrations. While some individual patterns could be observed, there was no indication that any single MC phase is consistently associated with improved or impaired O 2peak on a group level.
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Affiliation(s)
- Madison Y Taylor
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, NORWAY
| | - John O Osborne
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, NORWAY
| | | | - Tina P Engseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, NORWAY
| | | | - Ditta Valsdottir
- School of Health Sciences, Kristiania University College, Oslo, NORWAY
| | | | - Gina F Øistuen
- Department of Physical Performance, Norwegian School of Sport Science, Oslo, NORWAY
| | - Ingrid Flatby
- School of Health Sciences, Kristiania University College, Oslo, NORWAY
| | - Boye Welde
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, NORWAY
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, NORWAY
| | - Thomas Haugen
- School of Health Sciences, Kristiania University College, Oslo, NORWAY
| | | | - Dionne A Noordhof
- Department of Neuromedicine and Movement Science, Centre for Elite Sports Research, Norwegian University of Science and Technology, Trondheim, NORWAY
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Årnes AP, Fjeld MK, Stigum H, Nielsen CS, Stubhaug A, Johansen A, Hopstock LA, Morseth B, Wilsgaard T, Steingrímsdóttir ÓA. Does pain tolerance mediate the effect of physical activity on chronic pain in the general population? The Tromsø Study. Pain 2024:00006396-990000000-00543. [PMID: 38442413 DOI: 10.1097/j.pain.0000000000003209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 01/28/2024] [Indexed: 03/07/2024]
Abstract
ABSTRACT Knowledge is needed regarding mechanisms acting between physical activity (PA) and chronic pain. We investigated whether cold pain tolerance mediates an effect of leisure-time physical activity on the risk of chronic pain 7 to 8 years later using consecutive surveys of the population-based Tromsø Study. We included participants with information on baseline leisure-time PA (LTPA) and the level of cold pressor-assessed cold pain tolerance, who reported chronic pain status at follow-up as any of the following: chronic pain for ≥3 months, widespread chronic pain, moderate-to-severe chronic pain, or widespread moderate-to-severe chronic pain. We included 6834 participants (52% women; mean age, 55 years) in counterfactual mediation analyses. Prevalence decreased with severity, for example, 60% for chronic pain vs 5% for widespread moderate-to-severe chronic pain. People with one level higher LTPA rating (light to moderate or moderate to vigorous) at baseline had lower relative risk (RR) of 4 chronic pain states 7 to 8 years later. Total RR effect of a 1-level LTPA increase was 0.95 (0.91-1.00), that is, -5% decreased risk. Total effect RR for widespread chronic pain was 0.84 (0.73-0.97). Indirect effect for moderate-to-severe chronic pain was statistically significant at RR 0.993 (0.988-0.999); total effect RR was 0.91 (0.83-0.98). Statistically significantly mediated RR for widespread moderate-to-severe chronic pain was 0.988 (0.977-0.999); total effect RR was 0.77 (0.64-0.94). This shows small mediation of the effect of LTPA through pain tolerance on 2 moderate-to-severe chronic pain types. This suggests pain tolerance to be one possible mechanism through which PA modifies the risk of moderate-to-severe chronic pain types with and without widespread pain.
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Affiliation(s)
- Anders Pedersen Årnes
- Department of Pain, University Hospital of North Norway, Tromsø, Norway
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Mats Kirkeby Fjeld
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hein Stigum
- Institute of Health and Society, University of Oslo, Norway
| | - Christopher Sivert Nielsen
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Audun Stubhaug
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Aslak Johansen
- Department of Pain, University Hospital of North Norway, Tromsø, Norway
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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Sagelv EH, Casolo A, Eggen AE, Heitmann KA, Johansen KR, Løchen ML, Mathiesen EB, Morseth B, Njølstad I, Osborne JO, Hagerupsen K, Pedersen S, Wilsgaard T. Females Display Lower Risk of Myocardial Infarction From Higher Estimated Cardiorespiratory Fitness Than Males: The Tromsø Study 1994-2014. Mayo Clin Proc Innov Qual Outcomes 2024; 8:62-73. [PMID: 38268988 PMCID: PMC10806283 DOI: 10.1016/j.mayocpiqo.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024] Open
Abstract
Objective To examine the dose-response association between estimated cardiorespiratory fitness (eCRF) and risk of myocardial infarction (MI). Patients and Methods Adults who attended Tromsø Study surveys 4-6 (Janurary 1,1994-December 20, 2008) with no previous cardiovascular disease were followed up through December 31, 2014 for incident MI. Associations were examined using restricted cubic splines Fine and Gray regressions, adjusted for education, smoking, alcohol, diet, sex, adiposity, physical activity, study survey, and age (timescale) in the total cohort and subsamples with hyperlipidemia (n=2956), hypertension (n=8290), obesity (n=5784), metabolic syndrome (n=1410), smokers (n=3823), and poor diet (n=3463) and in those who were physically inactive (n=6255). Results Of 14,285 participants (mean age ± SD, 53.7±11.4 years), 979 (6.9%) experienced MI during follow-up (median, 7.2 years; 25th-75th, 5.3-14.6 years). Females with median eCRF (32 mL/kg/min) had 43% lower MI risk (subdistributed hazard ratio [SHR], 0.57; 95% CI, 0.48-0.68) than those at the 10th percentile (25 mL/kg/min) as reference. The lowest MI risk was observed at 47 mL/kg/min (SHR, 0.02; 95% CI, 0.01-0.11). Males had 26% lower MI risk at median eCRF (40 mL/kg/min; SHR, 0.74; 95% CI, 0.63-0.86) than those at the 10th percentile (32 mL/kg/min), and the lowest risk was 69% (SHR, 0.31; 95% CI, 0.14-0.71) at 60 mL/kg/min. The associations were similar in subsamples with cardiovascular disease risk factors. Conclusion Higher eCRF associated with lower MI risk in females and males, but associations were more pronounced among females than those in males. This suggest eCRF as a vital estimate to implement in medical care to identify individuals at high risk of future MI, especially for females.
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Affiliation(s)
- Edvard H. Sagelv
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Andrea Casolo
- Department of Biomedical Sciences, University of Padua, Padua, Italy
| | - Anne Elise Eggen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Kim Arne Heitmann
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Kristoffer R. Johansen
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ellisiv B. Mathiesen
- Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Inger Njølstad
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - John O. Osborne
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Karianne Hagerupsen
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sigurd Pedersen
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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Sagelv EH, Dalene KE, Eggen AE, Ekelund U, Fimland MS, Heitmann KA, Holtermann A, Johansen KR, Løchen ML, Morseth B, Wilsgaard T. Occupational physical activity and risk of mortality in women and men: the Tromsø Study 1986-2021. Br J Sports Med 2024; 58:81-88. [PMID: 37914386 DOI: 10.1136/bjsports-2023-107282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2023] [Indexed: 11/03/2023]
Abstract
OBJECTIVE Associations between occupational physical activity (OPA) and mortality risks are inconclusive. We aimed to examine associations between (1) OPA separately and (2) jointly with leisure time physical activity (LTPA), and risk of all-cause, cardiovascular disease (CVD) and cancer mortality, over four decades with updated exposure and covariates every 6-8 years. METHODS Adults aged 20-65 years from the Tromsø Study surveys Tromsø3-Tromsø7 (1986-2016) were included. We categorised OPA as low (sedentary), moderate (walking work), high (walking+lifting work) or very high (heavy manual labour) and LTPA as inactive, moderate and vigorous. We used Cox/Fine and Gray regressions to examine associations, adjusted for age, body mass index, smoking, education, diet, alcohol and LTPA (aim 1 only). RESULTS Of 29 605 participants with 44 140 total observations, 4131 (14.0%) died, 1057 (25.6%) from CVD and 1660 (40.4%) from cancer, during follow-up (median: 29.1 years, 25th-75th: 16.5.1-35.3). In men, compared with low OPA, high OPA was associated with lower all-cause (HR 0.83, 95% CI 0.74 to 0.92) and CVD (subdistributed HR (SHR) 0.68, 95% CI 0.54 to 0.84) but not cancer mortality (SHR 0.99, 95% CI 0.84 to 1.19), while no association was observed for moderate or very high OPA. In joint analyses using inactive LTPA and low OPA as reference, vigorous LTPA was associated with lower all-cause mortality combined with low (HR 0.75, 95% CI 0.64 to 0.89), high (HR 0.67, 95% CI 0.54 to 0.82) and very high OPA (HR 0.74, 95% CI 0.58 to 0.94), but not with moderate OPA. In women, there were no associations between OPA, or combined OPA and LTPA, with mortality. CONCLUSION High OPA, but not moderate and very high OPA, was associated with lower all-cause and CVD mortality risk in men but not in women. Vigorous LTPA was associated with lower mortality risk in men with low, high and very high OPA, but not moderate OPA.
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Affiliation(s)
- Edvard H Sagelv
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Knut Eirik Dalene
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Anne Elise Eggen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ulf Ekelund
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | - Marius Steiro Fimland
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Unicare Helsefort Rehabilitation Centre, Rissa, Norway
| | - Kim Arne Heitmann
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Sport Science and Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Kristoffer Robin Johansen
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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Osborne JO, Solli GS, Engseth TP, Welde B, Morseth B, Noordhof DA, Sandbakk Ø, Andersson EP. Annual Volume and Distribution of Physical Training in Norwegian Female Cross-Country Skiers and Biathletes: A Comparison Between Sports, Competition Levels, and Age Categories-The FENDURA Project. Int J Sports Physiol Perform 2024; 19:19-27. [PMID: 37917966 DOI: 10.1123/ijspp.2023-0067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 11/04/2023]
Abstract
PURPOSE To describe and compare the annual physical training characteristics between Norwegian female cross-country (XC) skiers and biathletes across competition levels and age categories. METHODS Daily training sessions for 1 year were recorded for 45 XC skiers and 26 biathletes, comprising international/national team (inter[national]) and nonnational/regional team members (nonnational) of both junior and senior age. Endurance, strength, flexibility, speed, and power training sessions were recorded. Data included exercise modality, intensity, and duration. Data were analyzed using linear mixed-effects models. RESULTS The total annual physical training volume consisted of ∼90% endurance training for both groups, although XC skiers had significantly higher total volumes (∼10%; P = .003; d = 0.78) than biathletes. Senior XC skiers performed more training hours of skiing and/or roller skiing compared with biathletes over the season. However, biathletes compensated for this lower volume by more skating and a higher proportion of endurance training as skiing (81% [17%]) compared with XC skiers (68% [16%]; P < .001; d = 0.94). Overall, (inter)national-level athletes completed a higher annual training volume than non-national-level athletes (740 [90] h vs 649 [95] h; P = .004;d = 0.81). Although juniors reported less endurance volume than seniors, they maintained a relatively stable level of endurance training across the preparatory and competition period, unlike senior athletes. CONCLUSIONS The higher annual physical training volume by XC skiers compared with biathletes is likely caused by the different demands of the 2 sports; XC skiing necessitates training for 2 skiing styles, while biathlon requires additional shooting practice. However, biathletes compensate with a higher proportion of ski training, particularly in the skating technique.
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Affiliation(s)
- John O Osborne
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Guro S Solli
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Sports Science and Physical Education, Nord University, Bodø, Norway
| | - Tina P Engseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Boye Welde
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Dionne A Noordhof
- Center for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Øyvind Sandbakk
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Center for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Erik P Andersson
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Health Sciences, Swedish Winter Sports Research Center, Mid Sweden University, Östersund, Sweden
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Ekberg S, Morseth B, Larsén KB, Wikström-Frisén L. Does the Menstrual Cycle Influence Aerobic Capacity in Endurance-Trained Women? Res Q Exerc Sport 2023:1-8. [PMID: 38109660 DOI: 10.1080/02701367.2023.2291473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 11/30/2023] [Indexed: 12/20/2023]
Abstract
Purpose: The aim was to study if aerobic capacity varies during different phases of the menstrual cycle (MC) in endurance-trained female athletes. Methods: Ten endurance-trained eumenorrheic women performed a submaximal test followed by an incremental test until exhaustion three times during one MC, early follicular phase (EFP), late follicular phase (LFP), and midluteal phase (MLP). During the submaximal test, the respiratory exchange ratio (RER) and utilization of fat and carbohydrates were analyzed; and, during the incremental test, VO2 peak, maximal heart rate, utilization of fat and carbohydrates, and RER were analyzed. Lactate levels were analyzed at rest, during the submaximal test, and after the incremental test. The anaerobic threshold was determined at RER = 1. Results: No significant differences (p < .05) between the MC phases were seen in a maximal heart rate or VO2peak. Similarly, VO2, heart rate, RER, fatty acid oxidation, and carbohydrate oxidation at 70, 80, 90, and 100% of VO2peak did not differ significantly between MC phases. There were no significant differences between these phases in resting lactate before the test or during the submaximal tests, though there was a significant difference in lactate concentration 3 minutes after the incremental test between the EFP and the LFP (p = .043). Conclusion: This study did not display variations in physiological parameters between EFP, LFP, and MLP, indicating similar aerobic capacity despite hormonal variations. This knowledge may be useful when planning for competition in aerobic events.
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Sagelv EH, Hopstock LA, Morseth B, Hansen BH, Steene-Johannessen J, Johansson J, Nordström A, Saint-Maurice PF, Løvsletten O, Wilsgaard T, Ekelund U, Tarp J. Device-measured physical activity, sedentary time, and risk of all-cause mortality: an individual participant data analysis of four prospective cohort studies. Br J Sports Med 2023; 57:1457-1463. [PMID: 37875329 DOI: 10.1136/bjsports-2022-106568] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/18/2023] [Indexed: 10/26/2023]
Abstract
OBJECTIVES To examine whether moderate-to-vigorous physical activity (MVPA) modifies the association between sedentary time and mortality and vice versa, and estimate the joint associations of MVPA and sedentary time on mortality risk. METHODS This study involved individual participant data analysis of four prospective cohort studies (Norway, Sweden, USA, baseline: 2003-2016, 11 989 participants ≥50 years, 50.5% women) with hip-accelerometry-measured physical activity and sedentary time. Associations were examined using restricted cubic splines and fractional polynomials in Cox regressions adjusted for sex, education, body mass index, smoking, alcohol, study cohort, cardiovascular disease, cancer, and/or diabetes, accelerometry wear time and age. RESULTS 6.7% (n=805) died during follow-up (median 5.2 years, IQR 4.2 years). More than 12 daily sedentary hours (reference 8 hours) was associated with mortality risk only among those accumulating <22 min of MVPA per day (HR 1.38, 95% CI 1.10 to 1.74). Higher MVPA levels were associated with lower mortality risk irrespective of sedentary time, for example, HR for 10 versus 0 daily min of MVPA was 0.85 (95% CI 0.74 to 0.96) in those accumulating <10.5 daily sedentary hours and 0.65 (95% CI 0.53 to 0.79) in those accumulating ≥10.5 daily sedentary hours. Joint association analyses confirmed that higher MVPA was superior to lower sedentary time in lowering mortality risk, for example, 10 versus 0 daily min of MVPA was associated with 28-55% lower mortality risk across the sedentary time spectrum (lowest risk, 10 daily sedentary hours: HR 0.45, 95% CI 0.31 to 0.65). CONCLUSIONS Sedentary time was associated with higher mortality risk but only in individuals accumulating less than 22 min of MVPA per day. Higher MVPA levels were associated with lower mortality risk irrespective of the amount of sedentary time.
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Affiliation(s)
- Edvard H Sagelv
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Laila Arnesdatter Hopstock
- Department of Health and Care Sciences, Faculty of Health Sciences, University of Tromso Department of Community Medicine, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørge H Hansen
- Department of Sport Science and Physical Education, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
| | | | - Jonas Johansson
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Anna Nordström
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Pedro F Saint-Maurice
- National Cancer Institute Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
| | - Ola Løvsletten
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic Diseases and Ageing, the Norwegian Institute for Public Health, Oslo, Norway
| | - Jakob Tarp
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus Universitet, Aarhus, Denmark
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Teterina A, Niratisairak S, Morseth B, Bolstad N. General and local predictors of mandibular cortical bone morphology in adult females and males: the seventh survey of the Tromsø Study. Clin Oral Investig 2023; 27:6577-6587. [PMID: 37735212 PMCID: PMC10630240 DOI: 10.1007/s00784-023-05263-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/11/2023] [Indexed: 09/23/2023]
Abstract
OBJECTIVES To analyze factors predicting mandibular cortical width (MCW) and mandibular cortical index (MCI) in adult females and males. MATERIAL AND METHODS Data on 427 females and 335 males aged 40-84 from The Tromsø study: Tromsø7 were used. T-score, age, menopausal status (for females), remaining teeth, and periodontal status were analyzed in linear and logistic regression analyses as predictors of MCW and MCI, respectively. RESULTS T-score, age, and the number of remaining teeth significantly predicted MCW in females but not males. Standardized β coefficients were 0.286, -0.231, and 0.131, respectively. The linear regression model explained 24% of MCW variation in females. MCI in females was significantly predicted by T-score, age, and remaining teeth with the Wald values of 9.65, 6.17, and 5.83, respectively. The logistic regression model explained 16.3-23% of the variation in MCI in females. In males, T-score was the only significant predictor of the eroded cortex, and the logistic model explained only 4.3-5.8% of the variation in MCI. CONCLUSIONS The T-score demonstrated a stronger relationship with MCW and MCI than other factors in females, which supports the usefulness of those indices for osteoporosis screening. Conversely, the T-score exhibited no association with MCW and remained the only significant predictor of MCI in males, yet to a lesser extent than in females. CLINICAL RELEVANCE Understanding factors affecting mandibular cortical morphology is essential for further investigations of MCW and MCI usefulness for osteoporosis screening in females and males.
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Affiliation(s)
- Anna Teterina
- Department of Clinical Dentistry, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway.
| | - Sanyalak Niratisairak
- Department of Orthopaedics, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Biomechanics Laboratory, Rikshospitalet, Division of Orthopaedic Surgery, Oslo University Hospital, Oslo, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Napat Bolstad
- Department of Clinical Dentistry, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
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Myrstad M, Johansen KR, Sørensen E, Løchen ML, Ranhoff AH, Morseth B. Atrial fibrillation in female endurance athletes. Eur J Prev Cardiol 2023:zwad218. [PMID: 37478377 DOI: 10.1093/eurjpc/zwad218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/22/2023] [Accepted: 06/29/2023] [Indexed: 07/23/2023]
Affiliation(s)
- Marius Myrstad
- Department of Internal Medicine, Bærum Hospital Vestre Viken Hospital Trust, Gjettum, Norway
| | | | - Eivind Sørensen
- Department of Internal Medicine, Bærum Hospital Vestre Viken Hospital Trust, Gjettum, Norway
| | | | - Anette Hylen Ranhoff
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Norwegian Institute of Public Health, Oslo, Norway
| | - Bente Morseth
- Centre for Research and Education, University Hospital of North Norway, Tromsø, Norway
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Årnes AP, Nielsen CS, Stubhaug A, Fjeld MK, Johansen A, Morseth B, Strand BH, Wilsgaard T, Steingrímsdóttir ÓA. Longitudinal relationships between habitual physical activity and pain tolerance in the general population. PLoS One 2023; 18:e0285041. [PMID: 37224163 DOI: 10.1371/journal.pone.0285041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 04/13/2023] [Indexed: 05/26/2023] Open
Abstract
Physical activity (PA) might influence the risk or progression of chronic pain through pain tolerance. Hence, we aimed to assess whether habitual leisure-time PA level and PA change affects pain tolerance longitudinally in the population. Our sample (n = 10,732; 51% women) was gathered from the sixth (Tromsø6, 2007-08) and seventh (Tromsø7, 2015-16) waves of the prospective population-based Tromsø Study, Norway. Level of leisure-time PA (sedentary, light, moderate, or vigorous) was derived from questionnaires; experimental pain tolerance was measured by the cold-pressor test (CPT). We used ordinary, and multiple-adjusted mixed, Tobit regression to assess 1) the effect of longitudinal PA change on CPT tolerance at follow-up, and 2) whether a change in pain tolerance over time varied with level of LTPA. We found that participants with high consistent PA levels over the two surveys (Tromsø6 and Tromsø7) had significantly higher tolerance than those staying sedentary (20.4 s. (95% CI: 13.7, 27.1)). Repeated measurements show that light (6.7 s. (CI 3.4, 10.0)), moderate (CI 14.1 s. (9.9, 18.3)), and vigorous (16.3 s. (CI 6.0, 26.5)) PA groups had higher pain tolerance than sedentary, with non-significant interaction showed slightly falling effects of PA over time. In conclusion, being physically active at either of two time points measured 7-8 years apart was associated with higher pain tolerance compared to being sedentary at both time-points. Pain tolerance increased with higher total activity levels, and more for those who increased their activity level during follow-up. This indicates that not only total PA amount matters but also the direction of change. PA did not significantly moderate pain tolerance change over time, though estimates suggested a slightly falling effect possibly due to ageing. These results support increased PA levels as a possible non-pharmacological pathway towards reducing or preventing chronic pain.
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Affiliation(s)
| | - Christopher Sievert Nielsen
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Division of Emergencies and Critical Care, Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Audun Stubhaug
- Division of Emergencies and Critical Care, Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mats Kirkeby Fjeld
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Aslak Johansen
- Department of Pain, University Hospital of North Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørn Heine Strand
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust Norway, Tønsberg, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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11
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Johansen KR, Ranhoff AH, Sørensen E, Nes BM, Bucher-Sandbakk S, Wilsgaard T, Løchen ML, Thelle DS, Morseth B, Myrstad M. Ten-year mortality among older male recreational endurance athletes in the Birkebeiner Aging Study in comparison with older men from the Tromsø Study. Scand J Med Sci Sports 2023. [PMID: 37161736 DOI: 10.1111/sms.14385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 04/03/2023] [Accepted: 04/24/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Physical activity (PA) is associated with reduced mortality. However, whether there is an added benefit of long-term endurance training is unclear. Thus, we aimed to examine 10-year mortality in older male endurance athletes compared with an older male general population. METHOD Male athletes (n = 503) participating in an annual long-distance ski race (median years of participation: 14, range: 1-53) from the Norwegian Birkebeiner Aging study (BiAS), and non-athletic men (n = 1867) attending the sixth Tromsø Study (Tromsø6) aged ≥65 years were included. Associations with endurance sport practice and joint exposures of endurance sport practice and self-reported leisure-time PA with all-cause mortality were examined. We analyzed the data with Cox proportional hazard models and regression standardization. RESULTS After 10 years (median: 10.4, range: 0.5-11.1) the mortality rate was lower in athletes (hazard ratio (HR) 0.34, 95% confidence interval (CI): 0.24-0.49) compared with non-athletes, corresponding to a 15% (95% CI: 12-19%) absolute risk reduction associated with endurance sport practice. In joint analyses categorized according to PA and endurance sport practice, we observed an inverse dose-response relationship with mortality (p < 0.001). Compared to inactive non-athletes, PA was associated with lower mortality in both active non-athletes and athletes. However, the observed benefit among participants reporting moderate-to-vigorous PA was larger in athletes (HR: 0.21, 95% CI: 0.14-0.32) than non-athletes (HR: 0.43, 95% CI: 0.31-0.59) (p < 0.01). CONCLUSION Endurance sport practice was associated with reduced 10-year mortality, beyond the effect of PA in older men. This study suggests that long-term endurance sport practice maintained into older adulthood promotes longevity.
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Affiliation(s)
- Kristoffer R Johansen
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Centre for Research and Education, University Hospital of North Norway, Tromsø, Norway
| | - Anette Hylen Ranhoff
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Norwegian Institute of Public Health, Oslo, Norway
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - Eivind Sørensen
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
- Department of Medical Research, Baerum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
| | - Bjarne M Nes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
| | - Silvana Bucher-Sandbakk
- Department of Teacher Education, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Cardiology, University Hospital of North Norway, Tromsø, Norway
| | - Dag S Thelle
- Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Göteborg, Sweden
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Centre for Research and Education, University Hospital of North Norway, Tromsø, Norway
| | - Marius Myrstad
- Department of Medical Research, Baerum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
- Department of Internal Medicine, Baerum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
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Fjeld MK, Årnes AP, Engdahl B, Morseth B, Hopstock LA, Horsch A, Stubhaug A, Strand BH, Nielsen CS, Steingrímsdóttir ÓA. Consistent pattern between physical activity measures and chronic pain levels: the Tromsø Study 2015 to 2016. Pain 2023; 164:838-847. [PMID: 36083173 PMCID: PMC10026831 DOI: 10.1097/j.pain.0000000000002773] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 01/13/2023]
Abstract
ABSTRACT Epidemiological literature on the relationship between physical activity and chronic pain is scarce and inconsistent. Hence, our aim was to assess the relationship applying comprehensive methodology, including self-reported and accelerometer measures of physical activity and different severity levels of chronic pain. We used data from the Tromsø Study (2015-2016). All residents in the municipality, aged 40 years and older were invited to participate (n = 32,591, 51% women). A total of 21,083 (53%) women reported on questionnaires. Additionally, 6778 participants (54% women) were invited to wear accelerometers (6125 with complete measurements). Our exposure measures were self-reported leisure time physical activity, exercise frequency, duration, and intensity and 2 accelerometer measures (steps per day and minutes of moderate to vigorous physical activity per day). Outcome measurements were chronic pain and moderate-to-severe chronic pain. We used Poisson regression to estimate chronic pain prevalence and prevalence ratios for each physical activity measure, with adjustments for sex, age, education level, smoking history, and occupational physical activity. Our main analyses showed an inverse dose-response relationship between all physical activity measures and both severity measures of chronic pain, except that the dose-response relationship with exercise duration was only found for moderate-to-severe pain. All findings were stronger for the moderate-to-severe pain outcomes than for chronic pain. Robustness analyses gave similar results as the main analyses. We conclude that an inverse dose-response association between physical activity and chronic pain is consistent across measures. To summarize, higher levels of physical activity is associated with less chronic pain and moderate-to-severe chronic pain.
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Affiliation(s)
- Mats Kirkeby Fjeld
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Bo Engdahl
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Laila Arnesdatter Hopstock
- Departments of Department of Health and Care Sciences, UiT The Artic University of Norway, Tromsø, Norway
| | - Alexander Horsch
- Division of Emergencies and Critical Care, Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Audun Stubhaug
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Emergencies and Critical Care, Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Bjørn Heine Strand
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Norwegian National Advisory Unit on Ageing and Health, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Christopher Sivert Nielsen
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Division of Emergencies and Critical Care, Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Ólöf Anna Steingrímsdóttir
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Division of Emergencies and Critical Care, Department of Research and Development, Oslo University Hospital, Oslo, Norway
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Teterina A, Niratisairak S, Morseth B, Bolstad N. Diagnostic efficacy of radiomorphometric indices for predicting osteoporosis in a Norwegian population in the Tromsø Study: Tromsø7. Oral Surg Oral Med Oral Pathol Oral Radiol 2023; 135:444-455. [PMID: 36517373 DOI: 10.1016/j.oooo.2022.10.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 09/22/2022] [Accepted: 10/22/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the diagnostic efficacy of the radiomorphometric indices of mandibular cortical width (MCW) and mandibular cortical index (MCI) of cortical erosion for osteoporosis screening in adults (≥40 years) and older adults (≥65 years) to determine whether adding a fracture risk assessment tool (FRAX) would improve efficacy. STUDY DESIGN One observer measured MCW and assessed MCI on dental panoramic radiographs acquired for patients in the Tromsø study. These indices, alone and with FRAX scores, were evaluated for efficacy in predicting osteoporosis, which was diagnosed by bone density measurement at the femoral necks with dual-energy X-ray absorptiometry. RESULTS MCW ≤3 mm and MCI indicating heavily eroded cortices (C3) had accuracies of 68.8% and 83.6%, respectively, in identifying osteoporosis. In females >65 years, MCW ≤3 mm and C3 produced higher sensitivities but lower specificities, with slightly lower accuracies (61.4% and 79.8%, respectively) compared with all females. The addition of FRAX scores >15% improved the accuracy of MCW ≤3 mm (81.7%) and C3 (87.9%), resulting in high specificity (86.6% and 95.4%). Combining MCW ≤3 mm or C3 with FRAX >15% increased the probabilities of detecting osteoporosis by increasing positive likelihood ratios. CONCLUSIONS MCW ≤3 mm or MCI C3, when combined with FRAX >15%, showed superior diagnostic efficacy, with high specificity in detecting females without osteoporosis.
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Affiliation(s)
- Anna Teterina
- Department of Clinical Dentistry, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Sanyalak Niratisairak
- Department of Orthopedics, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Napat Bolstad
- Department of Clinical Dentistry, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway.
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Johansen KR, Ranhoff AH, Sørensen E, Nes BM, Heitmann KA, Apelland T, Bucher Sandbakk S, Wilsgaard T, Løchen ML, Thelle DS, Morseth B, Myrstad M. Risk of atrial fibrillation and stroke among older men exposed to prolonged endurance sport practice: a 10-year follow-up. The Birkebeiner Ageing Study and the Tromsø Study. Open Heart 2022; 9:openhrt-2022-002154. [DOI: 10.1136/openhrt-2022-002154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/03/2022] [Indexed: 11/19/2022] Open
Abstract
AimsEndurance sport practice is associated with a high prevalence of atrial fibrillation (AF), which increases the risk of stroke in the general population. However, stroke risk in endurance athletes with AF is sparsely investigated. Most studies have been limited by design and are largely restricted to younger and middle-aged populations. Thus, we aimed to investigate AF and stroke risk in older athletes exposed to prolonged endurance training.MethodDuring a 10-year period, 505 male athletes aged ≥65 years frequently participating in a long-distance ski race were compared with 1867 men of the same age from the general population. The main exposure was endurance sport practice with self-reported AF and stroke as outcomes. Stroke risk was further examined by joint modelling of AF and endurance practice. Statistical analysis was conducted with a modified Poisson model.ResultsAthletes (median age: 68, range: 65–90) participated in a long-distance ski race over a median of 14 years (range: 1–53). Prevalence (28.5% vs 17.8%) and adjusted risk of AF (risk ratio (RR): 1.88, 95% CI: 1.49 to 2.37) were higher in athletes compared with non-athletes, whereas the prevalence (5.4% vs 9.7%) and risk of stroke were lower (RR: 0.60, 95% CI: 0.37 to 0.95). Compared with athletes without AF, risk of stroke was twofold in athletes (RR: 2.38, 95% CI: 1.08 to 5.24) and nearly fourfold in non-athletes (RR: 3.87, 95% CI: 1.98 to 7.57) with AF.ConclusionAlthough older male endurance athletes experienced an increased risk of AF, the long-term risk of stroke was substantially reduced compared with non-athletes.
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15
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Zanaboni P, Manskow US, Sagelv EH, Morseth B, Edvardsen AE, Aamot IL, Nes BM, Hastings B, Gagnon MP, Antypas K. Digital interventions to promote physical activity among inactive adults: A study protocol for a hybrid type I effectiveness-implementation randomized controlled trial. Front Public Health 2022; 10:925484. [PMID: 36339169 PMCID: PMC9634084 DOI: 10.3389/fpubh.2022.925484] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 10/07/2022] [Indexed: 01/24/2023] Open
Abstract
Introduction Physical inactivity is the fourth leading risk factor for global mortality, and inactive adults have a higher risk to develop lifestyle diseases. To date, there is preliminary evidence of the efficacy of fitness technologies and other digital interventions for physical activity (PA) promotion. Intervention studies are needed to test the effectiveness and implementation of innovative PA promotion strategies. Methods and analysis The ONWARDS study is a hybrid type I effectiveness-implementation randomized control trial aiming at an inactive and presumably high-risk population living in Northern Norway. One hundred and eighty participants will be assigned to 3 groups in a 1:1:1 ratio and participate for 18 months. Participants in group A will be provided an activity tracker with the personalized metric Personal Activity Intelligence (PAI). Participants in group B will be provided with both an activity tracker with the personalized metric PAI and access to online training videos (Les Mills+) to perform home-based training. Participants in group C will be provided an activity tracker with the personalized metric PAI, home-based online training and additional peer support via social media. The primary objective is to test which combination of interventions is more effective in increasing PA levels and sustaining long-term exercise adherence. Secondary objectives include: proportion of participants reaching PA recommendations; exercise adherence; physical fitness; cardiovascular risk; quality of life; perceived competence for exercise; self-efficacy; social support; usability; users' perspectives on implementation outcomes (adoption, acceptability, adherence, sustainability). The study design will allow testing the effectiveness of the interventions while gathering information on implementation in a real-world situation. Discussion This study can contribute to reduce disparities in PA levels among inactive adults by promoting PA and long-term adherence. Increased PA might, in turn, result in better prevention of lifestyle diseases. Digital interventions delivered at home can become an alternative to training facilities, making PA accessible and feasible for inactive populations and overcoming known barriers to PA. If effective, such interventions could potentially be offered through national health portals to citizens who do not meet the minimum recommendations on PA or prescribed by general practitioners or specialists. Trial registration https://clinicaltrials.gov/ct2/show/NCT04526444, Registered 23 April 2021, identifier: NCT04526444.
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Affiliation(s)
- Paolo Zanaboni
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway,Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway,*Correspondence: Paolo Zanaboni
| | - Unn Sollid Manskow
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
| | - Edvard Hamnvik Sagelv
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway,School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Inger-Lise Aamot
- Norwegian National Advisory Unit on Exercise Training as Medicine for Cardiopulmonary Condition, St. Olavs Hospital, Trondheim, Norway,K.G. Jebsen Center for Exercise in Medicine - CERG, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bjarne Martens Nes
- K.G. Jebsen Center for Exercise in Medicine - CERG, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Konstantinos Antypas
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway,SINTEF Digital, Oslo, Norway
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Johansson J, Emaus N, Geelhoed B, Sagelv E, Morseth B. Vertebral Fractures Assessed by Dual-Energy X-Ray Absorptiometry and All-Cause Mortality: The Tromsø Study, 2007-2020. Am J Epidemiol 2022; 192:62-69. [PMID: 36124677 PMCID: PMC9825718 DOI: 10.1093/aje/kwac161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 08/09/2022] [Accepted: 09/12/2022] [Indexed: 01/12/2023] Open
Abstract
Vertebral fractures have been associated with increased mortality, but findings are inconclusive, and many vertebral fractures avoid clinical attention. We investigated this association in a general population of 2,476 older adults aged ≥55 years from Tromsø, Norway, who were followed over 2007-2020, using dual-energy x-ray absorptiometry (DXA) at baseline to evaluate vertebral fractures (mild, moderate, or severe). We used multiple Cox regression models to estimate hazard ratios (HRs) for all-cause mortality, adjusted for age, sex, body mass index, education, smoking, alcohol intake, cardiovascular disease, and respiratory disease. Mean follow-up in the cohort was 11.2 (standard deviation, 2.7) years; 341 participants (13.8%) had ≥1 vertebral fracture at baseline, and 636 participants (25.7%) died between baseline and follow-up. Full-adjustment models showed a nonsignificant association between vertebral fracture status (yes/no) and mortality. Participants with ≥3 vertebral fractures (HR = 2.43, 95% confidence interval: 1.57, 3.78) or ≥1 severe vertebral fracture (HR = 1.65, 95% confidence interval: 1.26, 2.15) had increased mortality compared with those with no vertebral fractures. Dual-energy x-ray absorptiometry-based screening could be a potent and feasible tool in detecting vertebral fractures that are often clinically silent yet independently associated with premature death. Our data indicated that detailed vertebral assessment could be warranted for a more accurate survival estimation.
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Affiliation(s)
- Jonas Johansson
- Correspondence to Dr. Jonas Johansson, Department of Community Medicine, UiT The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway (e-mail: )
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17
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Beldo SK, Aars NA, Christoffersen T, Furberg AS, Halvorsen PA, Hansen BH, Horsch A, Sagelv EH, Syed S, Morseth B. Criterion validity of the Saltin-Grimby Physical Activity Level Scale in adolescents. The Fit Futures Study. PLoS One 2022; 17:e0273480. [PMID: 36048815 PMCID: PMC9436064 DOI: 10.1371/journal.pone.0273480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 08/10/2022] [Indexed: 11/23/2022] Open
Abstract
Background The Saltin-Grimby Physical Activity Level Scale (SGPALS) is commonly used to measure physical activity (PA) in population studies, but its validity in adolescents is unknown. This study aimed to assess the criterion validity of the SGPALS against accelerometry in a large sample of adolescents. A secondary aim was to examine the validity across strata of sex, body mass index (BMI), parental educational level, study program and self-reported health. Methods The study is based on data from 572 adolescents aged 15–17 years who participated in the Fit Futures Study 2010–11 in Northern Norway. The participants were invited to wear an accelerometer (GT3X) attached to their hip for seven consecutive days. We used Spearman’s rho and linear regression models to assess the validity of the SGPALS against the following accelerometry estimates of PA; mean counts/minute (CPM), steps/day, and minutes/day of moderate-to-vigorous physical activity (MVPA). Results The SGPALS correlated with mean CPM (ρ = 0.40, p<0.01), steps/day (ρ = 0.35, p<0.01) and MVPA min/day (ρ = 0.35, p<0.01). We observed no differences between correlations within demographic strata (all p>0.001). Higher scores on SGPALS were associated with a higher CPM, higher number of steps per day and more minutes of MVPA per day, with the following mean differences in PA measurements between the SGPALS ranks: CPM increased by 53 counts (95% CI: 44 to 62), steps/day increased by 925 steps (95% CI: 731 to 1118), and MVPA by 8.4 min/day (95% CI: 6.7 to 10.0). Mean difference between the highest and lowest SGPALS category was 2947 steps/day (6509 vs. 9456 steps/day) and 26.4 min/day MVPA (35.2 minutes vs 61.6 minutes). Conclusion We found satisfactory ranking validity of SGPALS measured against accelerometry in adolescents, which was fairly stable across strata of sex, BMI, and education. However, the validity of SGPALS in providing information on absolute physical activity levels seem limited.
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Affiliation(s)
- Sigurd K. Beldo
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Alta/Tromsø, Norway
- * E-mail:
| | | | - Tore Christoffersen
- Finnmark Hospital Trust, Alta, Norway
- Department of Health and Care Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Alta/Tromsø, Norway
| | - Anne-Sofie Furberg
- Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway
- Faculty of Health Sciences and Social Care, Molde University College, Molde, Norway
| | - Peder A. Halvorsen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørge Herman Hansen
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
| | - Alexander Horsch
- Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway
| | - Edvard H. Sagelv
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Alta/Tromsø, Norway
| | - Shaheen Syed
- Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Alta/Tromsø, Norway
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von Hanno T, Hareide LL, Småbrekke L, Morseth B, Sneve M, Erke MG, Mathiesen EB, Bertelsen G. Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study. Invest Ophthalmol Vis Sci 2022; 63:16. [PMID: 35960516 PMCID: PMC9396695 DOI: 10.1167/iovs.63.9.16] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Purpose The purpose of this study was to investigate associations between cardiovascular risk factors and the thickness of retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), and outer retina layers (ORL). Methods In this population-based study, we included participants from the Tromsø Study: Tromsø6 (2007 to 2008) and Tromsø7 (2015 to 2016). Persons with diabetes and/or diagnosed glaucoma were excluded from this study. Retinal thickness was measured on optical coherence tomography (Cirrus HD-OCT) macula-scans, segmented on RNFL, GCIPL, and ORL and associations were analyzed cross-sectionally (N = 8288) and longitudinally (N = 2595). We used directed acyclic graphs (DAGs) for model selection, and linear regression to adjust for confounders and mediators in models assessing direct effects. Factors examined were age, sex, blood pressure, daily smoking, serum lipids, glycated hemoglobin, body mass index (BMI), total body fat percentage (BFP), and the adjustment variables refraction and height. Results The explained variance of cardiovascular risk factors was highest in GCIPL (0.126). GCIPL had a strong negative association with age. Women had thicker GCIPL than men at higher age and thinner ORL at all ages (P < 0.001). Systolic blood pressure was negatively associated with RNFL/GCIPL (P = 0.001/0.004), with indication of a U-shaped relationship with GCIPL in women. The negative association with BMI was strongest in men, with significant effect for RNFL/GCIPL/ORL (P = 0.001/<0.001/0.019) and in women for GCIPL/ORL (P = 0.030/0.037). BFP was negatively associated with GCIPL (P = 0.01). Higher baseline BMI was associated with a reduction in GCIPL over 8 years (P = 0.03). Conclusions Cardiovascular risk factors explained 12.6% of the variance in GCIPL, with weight and blood pressure the most important modifiable factors.
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Affiliation(s)
- Therese von Hanno
- Department of Ophthalmology, Nordland Hospital Trust, Bodø, Norway.,Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Lars Småbrekke
- Department of Pharmacy, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Monica Sneve
- Hospital Administration, Bærum Hospital, Vestre Viken Hospital Trust, Bærum, Norway.,Department of Ophthalmology, Oslo University Hospital, Oslo, Norway
| | - Maja Gran Erke
- Department of Ophthalmology, Oslo University Hospital, Oslo, Norway.,Directorate of eHealth, Oslo, Norway
| | - Ellisiv Bøgeberg Mathiesen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Geir Bertelsen
- Department of Ophthalmology, University Hospital of North Norway, Tromsø, Norway.,Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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19
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Heitmann KA, Welde B, Løchen ML, Stylidis M, Schirmer H, Morseth B. Longitudinal Associations Between Cumulative Physical Activity and Change in Structure and Function of the Left Side of the Heart: The Tromsø Study 2007–2016. Front Cardiovasc Med 2022; 9:882077. [PMID: 35647060 PMCID: PMC9133513 DOI: 10.3389/fcvm.2022.882077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
Background Current knowledge about the relationship between physical activity (PA) and cardiac remodeling is mainly derived from cross-sectional studies of athletes, and there is a knowledge gap of this association in the general adult and elderly population. Therefore, we aimed to explore the longitudinal association between cumulative PA and change in cardiac structure and function in a general adult and elderly population. Methods This longitudinal study includes 594 participants from the sixth (Tromsø6, 2007–08) and seventh (Tromsø7, 2015–16) survey of the Tromsø Study. Cardiac structure and function were assessed by echocardiography at two time points, and PA was self-reported by questionnaire at both time points. PA volume was expressed as cumulative PA (Low, Moderate, and Hard) and the association with left atrial (LA) and left ventricular (LV) structure and function was assessed using ANCOVA. Results Overall, LA diameter index (LADi) increased significantly more in Hard compared to Moderate PA (+0.08 cm/m2, 95% CI 0.01–0.15, p = 0.020) from Tromsø6 to Tromsø7. When stratified by sex or age, higher levels of cumulative PA were associated with increased LADi in males and in participants <65 years only. Indexed LV mass (LVMi) increased significantly more in Moderate than in Low PA (+3.9 g/m2.7, 95% CI 0.23–7.57, p = 0.037). When stratified by sex or age, these changes in LVMi and indexed LV diameter (LVDi) were only significant in females. No significant associations were observed between cumulative PA and change in relative wall thickness, E/e' ratio, e' velocity, LV ejection fraction, and LADi/LVDi ratio. Conclusion Higher levels of cumulative PA were associated with increased LADi in males and participants <65 years, and with increased LVMi and LVDi in females. Despite cardiac chamber enlargement, the pump function of the heart did not change with higher levels of PA, and the atrioventricular ratio was unchanged. Our results indicate that cardiac chamber enlargement is a physiological response to PA.
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Affiliation(s)
- Kim Arne Heitmann
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Centre for Research and Education, University Hospital of Northern Norway, Tromsø, Norway
- *Correspondence: Kim Arne Heitmann
| | - Boye Welde
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Michael Stylidis
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Henrik Schirmer
- Department of Cardiology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Centre for Research and Education, University Hospital of Northern Norway, Tromsø, Norway
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20
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Engseth TP, Andersson EP, Solli GS, Morseth B, Thomassen TO, Noordhof DA, Sandbakk Ø, Welde B. Prevalence and Self-Perceived Experiences With the Use of Hormonal Contraceptives Among Competitive Female Cross-Country Skiers and Biathletes in Norway: The FENDURA Project. Front Sports Act Living 2022; 4:873222. [PMID: 35498528 PMCID: PMC9047044 DOI: 10.3389/fspor.2022.873222] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/23/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeTo investigate the prevalence of hormonal contraceptive (HC) use by female cross-country (XC) skiers and biathletes competing at a national and/or international level, their reasons for HC use, and to compare negative symptoms related to the HC-/menstrual cycle in HC users and non-HC users. Additionally, to characterize the self-perceived influence of HC use on training and performance.MethodsA total of 113 Norwegian competitive XC skiers and biathletes completed an online questionnaire including both closed and open-ended questions. The questions were designed to assess the type of HC, reasons for use, self-reported negative symptoms related to HC-/menstrual cycle, as well as athletes' experiences regarding how HC use affects training and performance.ResultsIn total, 68% of all the athletes used HC, with 64 and 36% of them using a progestin-only and combined type HC, respectively. Non-contraceptive reasons for HC use were reported by 51% of the progestin-only HC users vs. 75% of the combined HC users (P = 0.039), with reduction of negative menstrual-related symptoms as the most common reason. Of the athletes reporting regular withdrawal bleedings in connection to HC use, 80% of the progestin-only and 86% of combined HC users experienced negative menstrual-related symptoms, which was comparable to the non-HC group (86%). The majority (81%) of HC users experienced solely positive, or no effect, of HC use on training and performance, with no differences between progestin-only and combined HC users (P = 0.942).ConclusionsIn total, 68% of the XC skiers and biathletes used HC, with the highest proportion (64%) using a progestin-only HC. Many athletes used HC to manipulate their menstrual cycle due to perceived negative menstrual-related symptoms that interfered with their training sessions and/or competitions.
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Affiliation(s)
- Tina P. Engseth
- School of Sport Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
- *Correspondence: Tina P. Engseth
| | - Erik P. Andersson
- School of Sport Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Guro S. Solli
- School of Sport Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
- Department of Sports Science and Physical Education, Nord University, Bodø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Tor Oskar Thomassen
- School of Sport Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Dionne A. Noordhof
- Department of Neuromedicine and Movement Science, Centre for Elite Sports Research, Norwegian University of Science and Technology, Trondheim, Norway
| | - Øyvind Sandbakk
- School of Sport Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
- Department of Neuromedicine and Movement Science, Centre for Elite Sports Research, Norwegian University of Science and Technology, Trondheim, Norway
| | - Boye Welde
- School of Sport Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
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21
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Mikkilä S, Johansson J, Nordström A, Nordström P, Emaus N, Handegård BH, Morseth B, Welde B. A 15-year follow-up study of hip bone mineral density and associations with leisure time physical activity. The Tromsø Study 2001–2016. PLoS One 2022; 17:e0262228. [PMID: 35081131 PMCID: PMC8791505 DOI: 10.1371/journal.pone.0262228] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 12/19/2021] [Indexed: 11/18/2022] Open
Abstract
Aims
The aim was to investigate the long-term association between leisure time physical activity and hip areal bone mineral density (aBMD), in addition to change in hip aBMD over time, in 32–86 years old women and men.
Methods
Data were retrieved from the 2001, 2007–2008, and 2015–2016 surveys of the Tromsø Study, a longitudinal population study in Norway. Leisure time physical activity was assessed by the four-level Saltin-Grimby Physical Activity Level Scale which refers to physical exertion in the past twelve months. Hip aBMD was assessed by Dual-Energy X-ray Absorptiometry. Linear Mixed Model analysis was used to examine long-term associations between physical activity and hip aBMD (n = 6324). In addition, the annual change in hip aBMD was analyzed in a subsample of 3199 participants.
Results
Physical activity was significantly and positively associated with total hip aBMD in the overall cohort (p<0.005). Participants who reported vigorous activity had 28.20 mg/cm2 higher aBMD than those who were inactive (95% CI 14.71; 41.69, controlled for confounders), and even light physical activity was associated with higher aBMD than inactivity (8.32 mg/cm2, 95% CI 4.89; 11.76). Associations between physical activity and femoral neck aBMD yielded similar results. Hip aBMD decreased with age in both sexes, although more prominently in women. From 2001 to 2007–2008, aBMD changed by –5.76 mg/cm2 per year (95% CI –6.08; –5.44) in women, and –2.31 mg/cm2 (95% CI –2.69; –1.93), in men. From 2007–2008 to 2015–2016, the change was –4.45 mg/cm2 per year (95% CI –4.84; –4.06) in women, and –1.45 mg/cm2 (95% CI –1.92; –0.98) in men.
Conclusions
In this cohort of adult men and women, physical activity levels were positively associated with hip aBMD in a dose-response relationship. Hip aBMD decreased with age, although more pronounced in women than men.
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Affiliation(s)
- Saija Mikkilä
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
- * E-mail:
| | - Jonas Johansson
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Anna Nordström
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Public Health and Clinical Medicine, Section for Sustainable Health, Umeå University, Umeå, Sweden
| | - Peter Nordström
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
| | - Nina Emaus
- Department of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørn Helge Handegård
- The Regional Centre for Child and Adolescent Mental Health–North, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Boye Welde
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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22
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Heitmann KA, Løchen ML, Stylidis M, Hopstock LA, Schirmer H, Morseth B. Associations between physical activity, left atrial size and incident atrial fibrillation: the Tromsø Study 1994-2016. Open Heart 2022; 9:e001823. [PMID: 35074937 PMCID: PMC8788327 DOI: 10.1136/openhrt-2021-001823] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/09/2022] [Indexed: 11/17/2022] Open
Abstract
AIMS Left atrial (LA) enlargement is an independent risk factor for atrial fibrillation (AF). Interestingly, some athletes have increased risk of AF, which may be linked to LA enlargement; however, little is known about the relationship between LA enlargement and AF risk at moderate-level physical activity (PA). We aimed to explore the associations between PA, LA size and risk of incident AF, and if PA can attenuate the risk of AF with LA enlargement. METHODS This prospective study followed 2479 participants (52.4% female), free from known cardiac pathology, for median 20.2 years. Participants were followed up for hospital-diagnosed AF, confirmed by electrocardiography, from 1994-95 through 2016. At baseline, LA size was evaluated by anteroposterior LA diameter, and PA was self-reported by questionnaire. RESULTS We observed a U-shaped relationship between PA and AF, and moderately active had 32% lower AF risk than inactive (HRadjusted 0.68, 95% CI 0.50 to 0.93). Participants with LA enlargement had 38% higher AF risk compared with participants with normal LA size (HRadjusted 1.38, 95% CI 1.12 to 1.69). However, the increased AF risk with LA enlargement was attenuated by PA; compared with inactive participants with LA enlargement, the AF risk was 45% lower among active with LA enlargement (HRadjusted 0.55, 95% CI 0.39 to 0.79). AF risk in active participants with LA enlargement did not differ from active with normal LA size. These patterns were observed in both men and women, and in participants over/under 65 years. CONCLUSION Moderate PA was associated with reduced AF risk, and PA attenuated the increased risk of AF with LA enlargement in both men and women and all age groups.
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Affiliation(s)
- Kim Arne Heitmann
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Centre for Research and Education, University Hospital of North Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Michael Stylidis
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Laila A Hopstock
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Henrik Schirmer
- Department of Cardiology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Centre for Research and Education, University Hospital of North Norway, Tromsø, Norway
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23
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Deraas TS, Hopstock L, Henriksen A, Morseth B, Sand AS, Njølstad I, Pedersen S, Sagelv E, Johansson J, Grimsgaard S. Complex lifestyle intervention among inactive older adults with elevated cardiovascular disease risk and obesity: a mixed-method, single-arm feasibility study for RESTART-a randomized controlled trial. Pilot Feasibility Stud 2021; 7:190. [PMID: 34706777 PMCID: PMC8555104 DOI: 10.1186/s40814-021-00921-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 09/29/2021] [Indexed: 12/04/2022] Open
Abstract
Background Physical inactivity and obesity are global public health challenges. Older adults are important to target for prevention and management of disease and chronic conditions. However, many individuals struggle with maintaining increased physical activity (PA) and improved diet. This feasibility study provides the foundation for the RESTART trial, a randomized controlled trial (RCT) to test a complex intervention to facilitate favourable lifestyle changes older adults can sustain. The primary objective of this study was to investigate study feasibility (recruitment, adherence, side-effects, and logistics) using an interdisciplinary approach. Methods This 1-year prospective mixed-method single-arm feasibility study was conducted in Tromsø, Norway, from September 2017. We invited by mail randomly selected participants from the seventh survey of the Tromsø Study (2015–2016) aged 55–75 years with sedentary lifestyle, obesity, and elevated cardiovascular risk. Participants attended a 6-month complex lifestyle intervention program, comprising instructor-led high-intensive exercise and nutritionist- and psychologist-led counselling, followed by a 6-month follow-up. All participants used a Polar activity tracker for daily activity monitoring during the intervention. Participants were interviewed three times throughout the study. Primary outcome was study feasibility measures. Results We invited potential participants (n=75) by mail of which 27 % (n=20) agreed to participate. Telephone screening excluded four participants, and altogether 16 participants completed baseline screening. The intervention and test procedures of primary and secondary outcomes were feasible and acceptable for the participants. There were no exercise-induced injuries, indicating that the intervention program is safe. Participants experienced that the dietary and psychological counselling were delivered too early in the intervention and in too close proximity to the start of the exercise program. Minor logistic improvements were implemented throughout the intervention period. Conclusion This study indicates that it is feasible to conduct a full-scale RCT of a multi-component randomized intervention trial, based on the model of the present study. No dropouts due to exercise-induced injury indicates that the exercises were safe. While minor improvements in logistics were implemented during the intervention, we will improve recruitment and adherence strategies, rearrange schedule of intervention contents (exercise, diet, and psychology), as well as improve the content of the dietary and behavioural counselling to maximize outcome effects in the RESTART protocol. Trial registration ClinicalTrials.gov Identifier: NCT03807323 Registered 16 January 2019 – retrospectively registered.
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Affiliation(s)
- Trygve S Deraas
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
| | - Laila Hopstock
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Andre Henriksen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Anne Sofie Sand
- Department of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Inger Njølstad
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sigurd Pedersen
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Edvard Sagelv
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Jonas Johansson
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sameline Grimsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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24
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Hauger AV, Holvik K, Bergland A, Ståhle A, Emaus N, Morseth B, Strand BH. Physical capability, physical activity, and their association with femoral bone mineral density in adults aged 40 years and older: The Tromsø study 2015-2016. Osteoporos Int 2021; 32:2083-2094. [PMID: 33864108 PMCID: PMC8510966 DOI: 10.1007/s00198-021-05949-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 04/01/2021] [Indexed: 11/28/2022]
Abstract
UNLABELLED Since muscles can influence bone growth and vice versa, we examined if level of physical activity and physical capability tests can predict areal bone mineral density (aBMD). Both high activity level and good test performance were associated with higher aBMD, especially in women. INTRODUCTION Muscle influences bone formation and vice versa. Tests of physical capability and level of physical activity reflect various muscle qualities. We assessed the associations between total hip aBMD and physical activity as well as a range of standardized physical capability tests in an adult general population. METHODS A total of 3 533 women and men aged 40-84 years, participating in the population-based cross-sectional Tromsø study in Norway in 2015-2016, were included. Linear regression was used to assess associations between aBMD and physical activity and the physical capability tests grip strength, Timed Up and Go (TUG), Short Physical Performance Battery (SPPB), and standing balance. Non-linear associations were examined in cubic spline models. Standardized regression coefficients were calculated to compare effect sizes across physical capability measures. RESULTS In fully adjusted models, higher physical activity was positively associated with total hip aBMD in both sexes compared to a sedentary lifestyle. All tests of physical capability were associated with aBMD in women, SPPB showing the strongest association although effect sizes were too small to indicate clinically significant differences (1 point increase corresponded to an aBMD increase of 0.009 g/cm2, CI = 0.005 to 0.012). In men, SPPB and its subtests were associated with aBMD with chair rises showing the strongest association (1 s increase in execution time corresponded to an aBMD decrease of 0.005 g/cm2, CI = 0.008 to 0.002). CONCLUSION Physical activity was associated with aBMD, and tests of physical capability can account for some of the aBMD variations in adults aged 40 years and older, especially in women.
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Affiliation(s)
- A V Hauger
- Department of Physiotherapy, Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, Postboks 4, St. Olavs plass, 0130, Oslo, Norway.
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Marcus Thranes gate 6, 0473, Oslo, Norway.
| | - K Holvik
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Marcus Thranes gate 6, 0473, Oslo, Norway
| | - A Bergland
- Department of Physiotherapy, Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, Postboks 4, St. Olavs plass, 0130, Oslo, Norway
| | - A Ståhle
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 14183, Huddinge, Sweden
| | - N Emaus
- Department of Health and Care Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway
| | - B Morseth
- Department of Community Medicine, University of Tromsø, Tromsø, Norway
- Department of Clinical Therapeutic Services, University Hospital of Northern Norway, Tromsø, Norway
| | - B H Strand
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Marcus Thranes gate 6, 0473, Oslo, Norway
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
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25
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Morseth B, Geelhoed B, Linneberg A, Johansson L, Kuulasmaa K, Salomaa V, Iacoviello L, Costanzo S, Söderberg S, Niiranen TJ, Vishram-Nielsen JKK, Njølstad I, Wilsgaard T, Mathiesen EB, Løchen ML, Zeller T, Blankenberg S, Ojeda FM, Schnabel RB. Age-specific atrial fibrillation incidence, attributable risk factors and risk of stroke and mortality: results from the MORGAM Consortium. Open Heart 2021; 8:openhrt-2021-001624. [PMID: 34341095 PMCID: PMC8330568 DOI: 10.1136/openhrt-2021-001624] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 07/13/2021] [Indexed: 12/01/2022] Open
Abstract
Background The main aim was to examine age-specific risk factor associations with incident atrial fibrillation (AF) and their attributable fraction in a large European cohort. Additionally, we aimed to examine risk of stroke and mortality in relation to new-onset AF across age. Methods We used individual-level data (n=66 951, 49.1% men, age range 40–98 years at baseline) from five European cohorts of the MOnica Risk, Genetics, Archiving and Monograph Consortium. The participants were followed for incident AF for up to 10 years and the association with modifiable risk factors from the baseline examinations (body mass index (BMI), hypertension, diabetes, daily smoking, alcohol consumption and history of stroke and myocardial infarction (MI)) was examined. Additionally, the participants were followed up for incident stroke and all-cause mortality after new-onset AF. Results AF incidence increased from 0.9 per 1000 person-years at baseline age 40–49 years, to 17.7 at baseline age ≥70 years. Multivariable-adjusted Cox models showed that higher BMI, hypertension, high alcohol consumption and a history of stroke or MI were associated with increased risk of AF across age groups (p<0.05). Between 30% and 40% of the AF risk could be attributed to BMI, hypertension and a history of stroke or MI. New-onset AF was associated with a twofold increase in risk of stroke and death at ages≥70 years (p≤0.001). Conclusion In this large European cohort aged 40 years and above, risk of AF was largely attributed to BMI, high alcohol consumption and a history MI or stroke from middle age. Thus, preventive measures for AF should target risk factors such as obesity and hypertension from early age and continue throughout life.
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Affiliation(s)
- Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bastiaan Geelhoed
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lars Johansson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kari Kuulasmaa
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Veikko Salomaa
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Licia Iacoviello
- Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese, Italy.,Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Teemu J Niiranen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Julie K K Vishram-Nielsen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.,Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Inger Njølstad
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ellisiv B Mathiesen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Stefan Blankenberg
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Francisco M Ojeda
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
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Sagelv EH, Ekelund U, Hopstock LA, Fimland MS, Løvsletten O, Wilsgaard T, Morseth B. The bidirectional associations between leisure time physical activity change and body mass index gain. The Tromsø Study 1974-2016. Int J Obes (Lond) 2021; 45:1830-1843. [PMID: 34007009 DOI: 10.1038/s41366-021-00853-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/13/2021] [Accepted: 04/27/2021] [Indexed: 02/04/2023]
Abstract
OBJECTIVES To examine whether leisure time physical activity changes predict subsequent body mass index (BMI) changes, and conversely, whether BMI changes predict subsequent leisure time physical activity changes. METHODS This prospective cohort study included adults attending ≥3 consecutive Tromsø Study surveys (time: T1, T2, T3) during 1974-2016 (n = 10779). If participants attended >3 surveys, we used the three most recent surveys. We computed physical activity change (assessed by the Saltin-Grimby Physical Activity Level Scale) from T1 to T2, categorized as Persistently Inactive (n = 992), Persistently Active (n = 7314), Active to Inactive (n = 1167) and Inactive to Active (n = 1306). We computed BMI change from T2 to T3, which regressed on preceding physical activity changes using analyses of covariance. The reverse association (BMI change from T1 to T2 and physical activity change from T2 to T3; n = 4385) was assessed using multinomial regression. RESULTS Average BMI increase was 0.86 kg/m2 (95% CI: 0.82-0.90) from T2 to T3. With adjustment for sex, birth year, education, smoking and BMI at T2, there was no association between physical activity change from T1 to T2 and BMI change from T2 to T3 (Persistently Inactive: 0.89 kg/m2 (95% CI: 0.77-1.00), Persistently Active: 0.85 kg/m2 (95% CI: 0.81-0.89), Active to Inactive: 0.90 kg/m2 (95% CI: 0.79-1.00), Inactive to Active 0.85 kg/m2 (95% CI: 0.75-0.95), p = 0.84). Conversely, increasing BMI was associated with Persistently Inactive (odds ratio (OR): 1.17, 95% CI: 1.08-1.27, p < 0.001) and changing from Active to Inactive (OR: 1.16, 95% CI: 1.07-1.25, p < 0.001) compared with being Persistently Active. CONCLUSIONS We found no association between leisure time physical activity changes and subsequent BMI changes, whereas BMI change predicted subsequent physical activity change. These findings indicate that BMI change predicts subsequent physical activity change at population level and not vice versa.
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Affiliation(s)
- Edvard H Sagelv
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.,Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Laila A Hopstock
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Marius Steiro Fimland
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Unicare Helsefort Rehabilitation Centre, Rissa, Norway
| | - Ola Løvsletten
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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27
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Johansson J, Morseth B, Scott D, Strand BH, Hopstock LA, Grimsgaard S. Moderate-to-vigorous physical activity modifies the relationship between sedentary time and sarcopenia: the Tromsø Study 2015-2016. J Cachexia Sarcopenia Muscle 2021; 12:955-963. [PMID: 34060236 PMCID: PMC8350215 DOI: 10.1002/jcsm.12718] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 04/14/2021] [Accepted: 04/26/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Sarcopenia is an age-related muscle disease primarily characterized by reductions in muscle strength that increases the risk of falls, fractures, cognitive impairment, and mortality. Exercise is currently preferred in prevention and treatment, but it is unknown how different habitual physical activity and sedentary behaviour patterns associate with sarcopenia status. The purpose of the present study was to compare associations of these patterns with probable sarcopenia in older adults. METHODS In 3653 community-dwelling participants (51% women) aged 60-84 years from the seventh survey of the Tromsø Study, we assessed objective physical activity and sedentary behaviour collected over 8 days (ActiGraph wGT3X-BT Accelerometer), grip strength (Jamar+ Digital Dynamometer), five-repetition chair stands, and self-reported disease. We combined tertiles of sedentary (SED) time and moderate-to-vigorous physical activity (MVPA) to create nine different activity profiles (SEDHIGH , SEDMOD , and SEDLOW combined with MVPAHIGH , MVPAMOD , or MVPALOW ). Multiple logistic regression models were used to examine how these profiles associated with probable sarcopenia, defined by low handgrip strength and/or slow chair stands time according to the revised European Working Group on Sarcopenia in Older People criteria. RESULTS Probable sarcopenia was present in 227 (6.2%) participants. Men with probable sarcopenia had on average 35.3 min more SED time and 20 min less MVPA compared with participants without sarcopenia (P < 0.01 for all), while women with probable sarcopenia only had 18 min less MVPA (P < 0.001). Compared with the SEDHIGH -MVPALOW reference activity profile (714.2 min SED/day and 10.4 min MVPA/day), the SEDHIGH -MVPAMOD profile (697.1 min SED/day and 31.5 min MVPA/day) had significantly lower odds ratio (OR) for probable sarcopenia (OR 0.17, 95% confidence interval [CI] 0.08-0.35), while the SEDLOW -MVPALOW profile (482.9 min SED/day and 11.0 min MVPA/day) did not (OR 0.72, 95% CI 0.47-1.11). These findings were not influenced by age, sex, smoking, or self-reported diseases, and higher levels of MVPA did not further decrease ORs for probable sarcopenia. CONCLUSIONS Older adults who achieve moderate amounts of MVPA have reduced odds for probable sarcopenia, even when they have high sedentary time. Those with low sedentary time did not have reduced odds for probable sarcopenia when they also had low amounts of MVPA. These findings need confirmation in longitudinal studies but suggest that interventions for preventing sarcopenia should prioritize increasing MVPA over reducing sedentary behaviour.
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Affiliation(s)
- Jonas Johansson
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - David Scott
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.,Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Bjørn Heine Strand
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway.,Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Laila A Hopstock
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sameline Grimsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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28
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Hopstock L, Morseth B, Cook S, Eggen AE, Grimgsgaard S, Lundblad MW, Lochen ML, Mathiesen EB, Nilsen A, Njolstad I. Treatment target achievement after myocardial infarction: cardiovascular risk factors, medication use and lifestyle in Norwegian women and men. Eur J Cardiovasc Nurs 2021. [DOI: 10.1093/eurjcn/zvab060.063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Although the use of guidelines in clinical practice is emphasised, large multi-center studies of patients with cardiovascular disease have shown secondary prevention to be suboptimal, which increase the risk of recurrent events.
Purpose
To examine ESC guideline treatment target achievement after myocardial infarction for cardiovascular risk factors, medication use and a broad range of lifestyle factors in women and men from a Norwegian general population.
Methods
In a population-based study conducted 2015-2016 (65% attendance), 637 participants 40-95 years (23% women, 70% ≥65 years) had validated myocardial infarction. Cross-sectionally, we investigated target achievement for blood pressure (<140/90 mmHg, <130/80 mmHg if diabetes), LDL cholesterol (<1.8 mmol/L), HbA1c (<7.0% if diabetes), weight (body mass index (BMI) <25 kg/m2, waist circumference (women <80 cm, men <94 cm)), smoking (non-smoking), physical activity (self-reported >sedentary, accelerometer-measured moderate-to-vigorous ≥150 min/week), diet (intake of fruits ≥200 g/day, vegetables ≥200 g/day, fish ≥200 g/week, saturated fat <10E%, fiber ≥30g/day, and alcohol (women ≤10 g/day, men ≤20 g/day)), and medication use (antihypertensives, lipid-lowering drugs, antithrombotics, antidiabetics) using regression models.
Results
Proportion of target achievement was for blood pressure 55.8%, LDL cholesterol 9.3%, HbA1c 42.7%, BMI 19.5%, waist circumference 15.6%, non-smoking 86.2%, self-reported physical activity 79.5%, objectively measured physical activity 9.1%, intake of fruits 66.7%, vegetables 38.4%, fish 96.8%, saturated fat 25.4%, fiber 29.5%, and alcohol 78.5%, use of antidiabetics 84.3%, lipid-lowering drugs 86.8%, antihypertensives 78.5% and antithrombotics 77.9%. In total, 0.8% achieved all cardiovascular risk factor targets (blood pressure, LDL cholesterol, BMI and waist circumference combined). Compared to men, a lower proportion of women achieved the target for waist circumference (6.9% vs 18.1%, p = 0.002). Compared to participants 65 years or older, a higher proportion of those 40-64 years achieved the target for blood pressure (71.2% vs 49.0%, p < 0.001), and a lower proportion achieved the target for BMI (15.3 vs 21.4, p = 0.007).
Conclusion
Secondary prevention after myocardial infarction was suboptimal in both women and men. A negligible proportion achieved the treatment target for all risk factors. Improvement in follow-up care after myocardial infarction is needed.
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Affiliation(s)
- L Hopstock
- UiT The Arctic University of Norway, Department of Community Medicine, Tromso, Norway
| | - B Morseth
- UiT The Arctic University of Norway, School of Sport Sciences, Tromso, Norway
| | - S Cook
- London School of Hygiene and Tropical Medicine, Faculty of Population Health, London, United Kingdom of Great Britain & Northern Ireland
| | - AE Eggen
- UiT The Arctic University of Norway, Department of Community Medicine, Tromso, Norway
| | - S Grimgsgaard
- UiT The Arctic University of Norway, Department of Community Medicine, Tromso, Norway
| | - MW Lundblad
- UiT The Arctic University of Norway, Department of Community Medicine, Tromso, Norway
| | - ML Lochen
- UiT The Arctic University of Norway, Department of Community Medicine, Tromso, Norway
| | - EB Mathiesen
- UiT The Arctic University of Norway, Department of Clinical Medicine, Tromso, Norway
| | - A Nilsen
- Nordland Hospital, Department of Cardiology, Bodo, Norway
| | - I Njolstad
- UiT The Arctic University of Norway, Department of Community Medicine, Tromso, Norway
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Syed S, Morseth B, Hopstock LA, Horsch A. A novel algorithm to detect non-wear time from raw accelerometer data using deep convolutional neural networks. Sci Rep 2021; 11:8832. [PMID: 33893345 PMCID: PMC8065130 DOI: 10.1038/s41598-021-87757-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 04/05/2021] [Indexed: 11/09/2022] Open
Abstract
To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value. A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors), which limits detecting both short and longer episodes of non-wear time. In this paper, we propose a novel non-wear detection algorithm that eliminates the need for an interval. Rather than inspecting acceleration within intervals, we explore acceleration right before and right after an episode of non-wear time. We trained a deep convolutional neural network that was able to infer non-wear time by detecting when the accelerometer was removed and when it was placed back on again. We evaluate our algorithm against several baseline and existing non-wear algorithms, and our algorithm achieves a perfect precision, a recall of 0.9962, and an F1 score of 0.9981, outperforming all evaluated algorithms. Although our algorithm was developed using patterns learned from a hip-worn accelerometer, we propose algorithmic steps that can easily be applied to a wrist-worn accelerometer and a retrained classification model.
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Affiliation(s)
- Shaheen Syed
- Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway.
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Laila A Hopstock
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Alexander Horsch
- Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway
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30
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Hopstock LA, Morseth B, Cook S, Eggen AE, Grimsgaard S, Lundblad MW, Løchen ML, Mathiesen E, Nilsen A, Njølstad I. Treatment target achievement after myocardial infarction and ischaemic stroke: cardiovascular risk factors, medication use, and lifestyle: the Tromsø Study 2015-16. Eur J Prev Cardiol 2021; 29:362-370. [PMID: 33778888 DOI: 10.1093/eurjpc/zwab050] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/03/2021] [Accepted: 03/12/2021] [Indexed: 12/29/2022]
Abstract
AIMS To investigate European guideline treatment target achievement in cardiovascular risk factors, medication use, and lifestyle, after myocardial infarction (MI) or ischaemic stroke, in women and men living in Norway. METHODS AND RESULTS In the population-based Tromsø Study 2015-16 (attendance 65%), 904 participants had previous validated MI and/or stroke. Cross-sectionally, we investigated target achievement for blood pressure (<140/90 mmHg, <130/80 mmHg if diabetes), LDL cholesterol (<1.8 mmol/L), HbA1c (<7.0% if diabetes), overweight (body mass index (BMI) <25 kg/m2, waist circumference women <80 cm, men <94 cm), smoking (non-smoking), physical activity (self-reported >sedentary, accelerometer-measured moderate-to-vigorous ≥150 min/week), diet (intake of fruits ≥200 g/day, vegetables ≥200 g/day, fish ≥200 g/week, saturated fat <10E%, fibre ≥30 g/day, alcohol women ≤10 g/day, men ≤20 g/day), and medication use (antihypertensives, lipid-lowering drugs, antithrombotics, and antidiabetics), using regression models. Proportion of target achievement was for blood pressure 55.2%, LDL cholesterol 9.0%, HbA1c 42.5%, BMI 21.1%, waist circumference 15.7%, non-smoking 86.7%, self-reported physical activity 79%, objectively measured physical activity 11.8%, intake of fruit 64.4%, vegetables 40.7%, fish 96.7%, saturated fat 24.3%, fibre 29.9%, and alcohol 78.5%, use of antidiabetics 83.6%, lipid-lowering drugs 81.0%, antihypertensives 75.9%, and antithrombotics 74.6%. Only 0.7% achieved all cardiovascular risk factor targets combined. Largely, there was little difference between the sexes, and in characteristics, medication use, and lifestyle among target achievers compared to non-achievers. CONCLUSION Secondary prevention of cardiovascular disease was suboptimal. A negligible proportion achieved the treatment target for all risk factors. Improvement in follow-up care and treatment after MI and stroke is needed.
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Affiliation(s)
- Laila A Hopstock
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Hansine Hansens vei, 9037 Tromsø, Norway.,Pandemic Unit, Tromsø Municipality, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sarah Cook
- Faculty of Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Anne Elise Eggen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Hansine Hansens vei, 9037 Tromsø, Norway
| | - Sameline Grimsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Hansine Hansens vei, 9037 Tromsø, Norway
| | - Marie W Lundblad
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Hansine Hansens vei, 9037 Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Hansine Hansens vei, 9037 Tromsø, Norway
| | - Ellisiv Mathiesen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Amalie Nilsen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Hansine Hansens vei, 9037 Tromsø, Norway.,Department of Medicine, Nordland Hospital, Bodø, Norway
| | - Inger Njølstad
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Hansine Hansens vei, 9037 Tromsø, Norway
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31
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Heitmann KA, Løchen ML, Hopstock LA, Stylidis M, Welde B, Schirmer H, Morseth B. Cross-sectional associations between accelerometry-measured physical activity, left atrial size, and indices of left ventricular diastolic dysfunction: The Tromsø Study. Prev Med Rep 2020; 21:101290. [PMID: 33425668 PMCID: PMC7782323 DOI: 10.1016/j.pmedr.2020.101290] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 11/04/2020] [Accepted: 12/13/2020] [Indexed: 02/08/2023] Open
Abstract
Examination of how objectively PA and LAVi associate in a general population represents novelty. PA is associated with greater LA size in participants <70 years with normal diastolic function. LA enlargement is only associated with diastolic dysfunction in the most inactive participants. We suggest that LA enlargement in active individuals is not an expression of cardiac dysfunction.
Whereas left atrial (LA) enlargement is an independent predictor for adverse cardiovascular events and all-cause mortality, this is regarded a physiological adaption of exercise. Paradoxically, LA size in athletes may overlap the enlargement observed in patients with cardiac pathology. Current knowledge is mainly derived from studies of athletes, and little is known about cardiac adaptations to physical activity (PA) in the general population. We explored the association between objectively measured PA and LA volume index (LAVi), and between LAVi enlargement and indices of diastolic dysfunction stratified by PA-level. Our study included 1573 participants from the population-based Tromsø Study (2015–16). PA was assessed with an ActiGraph wGT3X-BT accelerometer. Echocardiography was performed according to current guidelines. The associations between PA and LAVi, and between LAVi enlargement and indices of diastolic dysfunction were estimated by univariable and multivariable linear regression analyses, adjusted for sex, age, and cardiovascular risk factors. Our multiple adjusted analyses showed significant linear associations between PA and LAVi in ages < 70 years, and between PA and LAVi in participants with normal diastolic function. No associations were seen in ages ≥ 70 years or for participants with abnormal diastolic function. In those 40–54 years, the most active participants had larger LAVi (4.45 mL/m2, p = 0.016) than the least active. LAVi enlargement was only associated with indices of diastolic dysfunction in the most inactive participants. In conclusion, higher levels of PA associate with greater LAVi in participants < 70 years with normal diastolic function. LAVi enlargement is only associated with diastolic dysfunction in the most inactive participants.
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Affiliation(s)
- Kim Arne Heitmann
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway.,Centre for Clinical Research and Education, University Hospital of North Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Laila A Hopstock
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Michael Stylidis
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Boye Welde
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Henrik Schirmer
- Department of Cardiology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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32
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Welde B, Morseth B, Handegård BH, Lagestad P. Effect of Sex, Body Mass Index and Physical Activity Level on Peak Oxygen Uptake Among 14-19 Years Old Adolescents. Front Sports Act Living 2020; 2:78. [PMID: 33345069 PMCID: PMC7739671 DOI: 10.3389/fspor.2020.00078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 05/26/2020] [Indexed: 11/25/2022] Open
Abstract
The aim was to describe longitudinal trends in peak oxygen uptake (VO2peak) among 14- to 19-year-old adolescents in Norway, and to examine effects of sex, body mass index (BMI), and physical activity (PA) level on VO2peak during adolescence. Of 124 invited students from two lower secondary schools in Norway, 116 eighth-grade students (61 boys and 55 girls; 14 years old at baseline) volunteered to participate. The study has a longitudinal design with 6 yearly repeated measures of body height and mass, VO2peak and PA level. VO2peak allometrically scaled to body mass raised to the power of 0.67 was measured using a walking or running incremental test on a treadmill, whereas PA level was self-reported. Among 696 possible observations, 555 (79.7%) were valid. Multiple linear regression and linear mixed model analyses were used to examine the associations between age, sex, BMI, PA level and VO2peak. VO2peak showed a non-linear pattern from age 14 to 19, with a distinct increase for boys peaking at age 17, while the results provide a flatter and more stable curve for girls. Sex, BMI and PA level together explained 43–71% of the variance in VO2peak at the different age levels. Sex and PA level contributed independently to explain a significant proportion of the variance in VO2peak at all measurement occasions, while BMI did not. Adjusted sex differences in VO2peak increased over time, from 26.5 ml·kg−0.67·min−1 at age 14 to 55.5 ml·kg−0.67·min−1 at age 19. The independent contribution from PA level to the variance in VO2peak increased from age 14 to 16 and then decreased. While PA level explained 32.5% of the total variance in VO2peak for 16-year-olds, this number was 14% in 19-year-olds. In conclusion, aerobic power showed a non-linear pattern during adolescence, peaking at age 17. Sex and PA level explained a large proportion of the variance in VO2peak, each of them being an independent contributor to VO2peak. Aerobic power is linked to improved health and seems to depend largely on sex and PA level in adolescents, emphasizing the importance of maintaining a sufficient PA level during adolescence.
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Affiliation(s)
- Boye Welde
- Faculty of Health Sciences, School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- Faculty of Health Sciences, School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørn Helge Handegård
- RKBU Nord, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Pål Lagestad
- Department of Physical Education and Sport Science, Faculty of Teacher Education and Art, Nord University, Levanger, Norway
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33
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Sagelv EH, Ekelund U, Hopstock LA, Aars NA, Fimland MS, Jacobsen BK, Løvsletten O, Wilsgaard T, Morseth B. Do declines in occupational physical activity contribute to population gains in body mass index? Tromsø Study 1974-2016. Occup Environ Med 2020; 78:oemed-2020-106874. [PMID: 33277383 DOI: 10.1136/oemed-2020-106874] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 11/11/2020] [Accepted: 11/16/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To examine whether occupational physical activity changes predict future body mass index (BMI) changes. METHODS This longitudinal cohort study included adult participants attending ≥3 consecutive Tromsø Study surveys (examinations 1, 2 and 3) from 1974 to 2016 (N=11 308). If a participant attended >3 surveys, the three most recent surveys were included. Occupational physical activity change (assessed by the Saltin-Grimby Physical Activity Level Scale) was computed from the first to the second examination, categorised into persistently inactive (n=3692), persistently active (n=5560), active to inactive (n=741) and inactive to active (n=1315). BMI change was calculated from the second to the third examination (height being fixed at the second examination) and regressed on preceding occupational physical activity changes using analysis of covariance adjusted for sex, birth year, smoking, education and BMI at examination 2. RESULTS Overall, BMI increased by 0.84 kg/m2 (95% CI 0.82 to 0.89). Following adjustments as described previously, we observed no differences in BMI increase between the occupational physical activity change groups (Persistently Inactive: 0.81 kg/m2, 95% CI 0.75 to 0.87; Persistently Active: 0.87 kg/m2, 95% CI 0.82 to 0.92; Active to Inactive: 0.81 kg/m2, 95% CI 0.67 to 0.94; Inactive to Active: 0.91 kg/m2, 95% CI 0.81 to 1.01; p=0.25). CONCLUSION We observed no prospective association between occupational physical activity changes and subsequent BMI changes. Our findings do not support the hypothesis that occupational physical activity declines contributed to population BMI gains over the past decades. Public health initiatives aimed at weight gain prevention may have greater success if focusing on other aspects than occupational physical activity.
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Affiliation(s)
- Edvard H Sagelv
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Oslo, Norway
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Oslo, Norway
| | - Laila A Hopstock
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
| | - Nils Abel Aars
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
| | - Marius Steiro Fimland
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Trøndelag, Norway
- Unicare Helsefort Rehabilitation Centre, Rissa, Trøndelag, Norway
| | - Bjarne Koster Jacobsen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
- Centre for Sami Health Research, Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
| | - Ola Løvsletten
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Troms, Norway
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34
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Årnes AP, Nielsen CS, Stubhaug A, Fjeld MK, Hopstock LA, Horsch A, Johansen A, Morseth B, Wilsgaard T, Steingrímsdóttir ÓA. Physical activity and cold pain tolerance in the general population. Eur J Pain 2020; 25:637-650. [PMID: 33165994 DOI: 10.1002/ejp.1699] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND The relationship between habitual physical activity (PA) and experimental pain tolerance has been investigated in small samples of young, healthy and/or single-sex volunteers. We used a large, population-based sample to assess this relationship in men and women with and without chronic pain. METHODS We used data from the sixth and seventh Tromsø Study surveys (2007-2008; 2015-2016), with assessed pain tolerance of participants with the cold pressor test (CPT: dominant hand in circulating cold water at 3°C, maximum test time 106 s), and self-reported total amount of habitual PA in leisure time (n = 19,087), exercise frequency (n = 19,388), exercise intensity (n = 18,393) and exercise duration (n = 18,343). A sub-sample had PA measured by accelerometers (n = 4,922). We used Cox regression to compare CPT tolerance times between self-reported PA levels. For accelerometer-measured PA, we estimated hazard ratios for average daily activity counts, and for average daily minutes of moderate-to-vigorous PA done in bouts lasting 10 min or more. Models were tested for PA-sex, and PA-chronic pain and PA-moderate-to-severe chronic pain interactions. RESULTS Leisure-time PA, exercise intensity and exercise duration were positively associated with CPT tolerance (p < .001; p = .011; p < .001). More PA was associated with higher CPT tolerance. At high levels of leisure-time PA and exercise intensity, men had a significantly higher CPT tolerance than women. Accelerometer-measured PA was not associated with CPT tolerance. CONCLUSIONS This study is one of the first to show that higher self-reported habitual PA was connected to higher experimental pain tolerance in a population-based sample, especially for men. This was not found for accelerometer-measured PA. SIGNIFICANCE This study finds that higher level of self-reported leisure-time physical activity is associated with increased cold pressor pain tolerance in a large population-based sample. Though present in both sexes, the association is strongest among men. Despite the robust dose-response relationship between pain tolerance and self-reported activity level, no such relationship was found for accelerometer-measured activity, reflecting a possible discrepancy in the aspect of physical activity measured. Though the study design does not permit causal conclusions, the findings suggest that increasing physical activity may increase pain tolerance in the general population.
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Affiliation(s)
- Anders P Årnes
- Department of Pain, Department of Community Medicine, University Hospital of North Norway, Tromsø, Norway.,Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Christopher S Nielsen
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Pain Management and Research, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Audun Stubhaug
- Department of Pain Management and Research, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mats K Fjeld
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Laila A Hopstock
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Alexander Horsch
- Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway
| | - Aslak Johansen
- Department of Pain, Department of Community Medicine, University Hospital of North Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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35
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Morseth B, Geelhoed B, Linneberg A, Soderberg S, Johansson L, Kuulasmaa K, Salomaa V, Niiranen T, Iacoviello L, Loechen M, Schnabel R. Atrial fibrillation risk factor burden and disease onset across age decades. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Although a number of risk factors have been associated with the progression of atrial fibrillation (AF), there is limited knowledge of their relevance for AF in relation to age.
Purpose
We examined whether the association between modifiable risk factors and AF differed between age decades.
Methods
Data were derived from five European cohorts from Denmark, Finland, Italy, Sweden, and Norway. In total, 66 951 individuals (49.1% men) aged ≥40 years (mean baseline age 53.5 years) and without prevalent AF were followed for incident AF, with the follow-up truncated at 10 years. Data on risk factors (body mass index [BMI], hypertension [systolic blood pressure ≥140 mmHg and/or use of antihypertensive medication], diabetes mellitus, myocardial infarction [MI] event before baseline examinations, daily smoking, and alcohol consumption) were available from the baseline examinations. Stratification into age decades was based on age at baseline examination. Furthermore, the participants were followed for events of stroke or mortality after AF diagnosis. Mortality, stroke, and AF outcomes were derived from national registers and hospital discharge registers. All analyses were adjusted for AF risk factors.
Results
The incidence of AF increased from 0.9 per 1000 person-years at the age of 40 to <50, to 17.7 at the age of ≥70 years. Multivariable-adjusted Cox models showed that BMI, hypertension, alcohol consumption, and history of MI were associated with increased risk of AF across age decades (p<0.05). Of these, the risk of AF associated with BMI and an MI event before baseline examinations differed across age decades. For each 5 units increase in BMI, risk of AF increased with 40% (95% confidence interval 17–68%) at the age of 40 to <50, falling to 17% (6–29%) at the age of ≥70 years (p=0.08 for difference between age decades 40 to <50 and ≥70). Participants with a history of MI showed decreased risk of AF with ageing, from a hazard ratio (HR) of 5.53 (2.85–10.73) in the 40 to <50 age group to a HR of 1.41 (1.11–1.79) at the age of ≥70 (p<0.001). Daily smoking and prevalent diabetes mellitus were in general not associated with AF. The multivariable-adjusted associations between new-onset AF and the succeeding risk of stroke and mortality increased with age, showing a 1.6 to 2.6-fold increase in risk of death at ages ≥60 years and two-fold increased risk of stroke in participants aged ≥70 years (p≤0.001).
Conclusion
The relative importance of modifiable risk factors on incident AF do not vary across age decades, with a few exceptions; BMI and a history of MI were stronger risk factors for AF at younger ages. Thus, preventive measures should target risk factors rigorously, in particular obesity. New-onset AF was associated with increased risk of stroke and mortality only at older ages, emphasizing the importance of adequate patient management in the older and oldest old.
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- B Morseth
- UiT The Arctic University of Norway, School of Sport Sciences, Faculty of Health Sciences, Tromso, Norway
| | - B Geelhoed
- University Heart Center Hamburg, Hamburg, Germany
| | - A Linneberg
- Frederiksberg University Hospital, Center for Clinical Research and Prevention, Frederiksberg, Denmark
| | - S Soderberg
- Umea University, Department of Public Health and Clinical Medicine, and Heart Centre, Umea, Sweden
| | - L Johansson
- Umea University, Department of Public Health and Clinical Medicine, and Heart Centre, Umea, Sweden
| | - K Kuulasmaa
- National Institute for Health and Welfare (THL), Department of Public Health Solutions, Helsinki, Finland
| | - V Salomaa
- National Institute for Health and Welfare (THL), Department of Public Health Solutions, Helsinki, Finland
| | - T Niiranen
- National Institute for Health and Welfare (THL), Department of Public Health Solutions, Helsinki, Finland
| | - L Iacoviello
- University of Insubria, Research Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, Varese, Italy
| | - M.L Loechen
- UiT The Arctic University of Norway, Department of Community Medicine, Faculty of Health Sciences, Tromso, Norway
| | - R.B Schnabel
- University Heart Center Hamburg, Hamburg, Germany
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36
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Aars NA, Beldo S, Jacobsen BK, Horsch A, Morseth B, Emaus N, Furberg AS, Grimsgaard S. Association between objectively measured physical activity and longitudinal changes in body composition in adolescents: the Tromsø study fit futures cohort. BMJ Open 2020; 10:e036991. [PMID: 33033016 PMCID: PMC7542926 DOI: 10.1136/bmjopen-2020-036991] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVES Physical activity may be important in deterring the obesity epidemic. This study aimed to determine whether objectively measured physical activity in first year of upper secondary high school predicted changes in body composition over 2 years of follow-up in a cohort of Norwegian adolescents (n=431). DESIGN A longitudinal study of adolescents (mean age of 16 (SD 0.4) at baseline, 60.3% girls) participating in the Fit Futures studies 1 (2010-2011) and 2 (2012-2013). SETTING All eight upper secondary high schools in two municipalities in Northern Norway. PARTICIPANTS Students participating in both studies and under the age of 18 at baseline and with valid measurement of physical activity at baseline and body composition in both surveys. PRIMARY AND SECONDARY OUTCOMES Change in objectively measured body mass index and waist circumference and change in dual-energy X-ray absorptiometry measured fat mass index, lean mass index (LMI) and appendicular LMI (aLMI) between baseline and follow-up. RESULTS At baseline, boys had significantly higher physical activity volume (p=0.01) and spent on average of 6.4 (95% CI 2.1 to 10.6) more minutes in moderate-to-vigorous physical activity (MVPA) than girls (p<0.01). In girls, multivariate regression analyses showed that more sedentary time was negatively associated with changes in LMI (p<0.01) and aLMI (p<0.05), whereas more light activity had opposite effects on these measures (p<0.01 and p<0.05, respectively). No significant associations between measures of baseline physical activity and changes in body composition parameters were observed in boys. CONCLUSIONS In this cohort of Norwegian adolescents, sedentary and light physical activity was associated with changes in LMI and aLMI in girls, but not boys. Minutes spent in MVPA in first year of upper secondary high school was not associated with changes in measures of body composition in neither sex after 2 years.
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Affiliation(s)
- Nils Abel Aars
- Department of Community Medicine, UiT The Arctic University of Norway, Tromso, Troms, Norway
- Nordlandssykehuset HF, Bodø, Norway
| | - Sigurd Beldo
- School of Sport Sciences, UiT Arctic University of Norway, Alta, Finnmark, Norway
| | - Bjarne Koster Jacobsen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromso, Troms, Norway
- Centre for Sami Health Research, UiT The Arctic University of Norway, Tromso, Troms, Norway
| | - Alexander Horsch
- Department of Computer Science, UiT The Arctic University of Norway, Tromso, Troms, Norway
| | - Bente Morseth
- Department of Community Medicine, UiT The Arctic University of Norway, Tromso, Troms, Norway
- School of Sport Sciences, UiT Arctic University of Norway, Alta, Finnmark, Norway
| | - Nina Emaus
- Department of Health and Care Siences, UiT The Arctic University of Norway, Tromso, Troms, Norway
| | - Anne-Sofie Furberg
- Department of Microbiology and Infection Control, Universitetssykehuset Nord-Norge, Tromsø, Norway
- Faculty of Health and Social Sciences, Molde University College, Molde, Norway
| | - Sameline Grimsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromso, Troms, Norway
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37
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Beldo SK, Morseth B, Christoffersen T, Halvorsen PA, Hansen BH, Furberg AS, Ekelund U, Horsch A. Prevalence of accelerometer-measured physical activity in adolescents in Fit Futures - part of the Tromsø Study. BMC Public Health 2020; 20:1127. [PMID: 32680490 PMCID: PMC7368757 DOI: 10.1186/s12889-020-09171-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 06/26/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous studies show large variations in physical activity (PA) levels among adolescents. However, the number of studies is limited and even fewer studies have assessed PA in adolescents by accelerometer devices. This study aimed to describe accelerometer-measured PA levels in adolescents in a population-based cohort in Northern Norway. METHODS In 611 students aged 16-17 years attending the Fit Futures Study, PA was measured by Actigraph GT3X for seven consecutive days. PA was expressed as total PA volume (counts per minute, CPM), time spent in intensity zones, steps per day, and fulfilment of WHO recommendation (i.e. accumulation of 60 min or more of at least moderate intensity PA per day). Potential correlates of PA such as sex, socioeconomic status, study program, self-perceived health, and PA variations by weekday versus weekend were also examined. RESULTS 16% of the girls and 25% of the boys fulfilled current WHO-recommendations. Total PA volume (CPM) was higher in boys than in girls (353 (SD 130) versus 326 (SD 114) CPM, p < 0.05). PA levels differed with study program and increased with better self-perceived health, but were not associated with socioeconomic status. Both boys and girls were more active on weekdays than weekends (altogether; 350 (SD 124) versus 299 (SD 178) CPM, p < 0.05). CONCLUSIONS In this cohort of adolescents, less than 25% of 16-17-year-old boys and girls fulfilled the WHO recommendations. The levels of physical activity in 16-17-year-old adolescents are similar to previous data reported in adults.
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Affiliation(s)
- Sigurd K Beldo
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway. .,School of Sport Sciences, UiT The Arctic University of Norway, 9509 Alta, Tromsø, Norway.
| | - Bente Morseth
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,School of Sport Sciences, UiT The Arctic University of Norway, 9509 Alta, Tromsø, Norway
| | - Tore Christoffersen
- Finnmark Hospital Trust, Alta, Norway.,Department of Health and Care Sciences, UiT The Arctic University of Tromsø, Tromsø, Norway
| | - Peder A Halvorsen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørge H Hansen
- Department of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway
| | - Anne-Sofie Furberg
- Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian school of sport sciences, Oslo, Norway.,Norwegian Institute for Public Health, Oslo, Norway
| | - Alexander Horsch
- Computer Science Department, UiT The Arctic University of Norway, Tromsø, Norway
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38
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Danielsen KH, Vårnes TK, Mathisen GE, Heitmann KA, Sagelv EH, Morseth B. Physical Activity, Physical Fitness And Body Mass Index Among Elementary School Children In The Arctic Area. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000670692.82783.d7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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39
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Sharashova E, Wilsgaard T, Ball J, Morseth B, Gerdts E, Hopstock LA, Mathiesen EB, Schirmer H, Løchen ML. Long-term blood pressure trajectories and incident atrial fibrillation in women and men: the Tromsø Study. Eur Heart J 2020; 41:1554-1562. [PMID: 31050731 PMCID: PMC7174044 DOI: 10.1093/eurheartj/ehz234] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 10/23/2018] [Accepted: 04/08/2019] [Indexed: 12/11/2022] Open
Abstract
AIMS To explore sex-specific associations between long-term individual blood pressure (BP) patterns and risk of incident atrial fibrillation (AF) in the general population. METHODS AND RESULTS Blood pressure was measured in 8376 women and 7670 men who attended at least two of the three population-based Tromsø Study surveys conducted in 1986-87, 1994-95, and 2001. Participants were followed for incident AF throughout 2013. Latent mixed modelling was used to identify long-term trajectories of systolic BP and hypertension. Cox regression was used to estimate associations between the identified trajectories and incident AF. Elevated systolic BP throughout the exposure period (1986-2001) independently and differentially increased risk of AF in women and men. In women, having elevated systolic BP trajectories doubled AF risk compared to having persistently low levels, irrespective of whether systolic BP increased, decreased, or was persistently high over time, with hazard ratios of 1.88 (95% confidence interval 1.37-2.58), 2.32 (1.61-3.35), and 1.94 (1.28-2.94), respectively. In men, those with elevated systolic BP that continued to increase over time had a 50% increased AF risk: 1.51 (1.09-2.10). When compared to those persistently normotensive, women developing hypertension during the exposure period, and women and men with hypertension throughout the exposure period had 1.40 (1.06-1.86), 2.75 (1.99-3.80), and 1.36 (1.10-1.68) times increased risk of AF, respectively. CONCLUSION Long-term BP and hypertension trajectories were associated with increased incidence of AF in both women and men, but the associations were stronger in women.
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Affiliation(s)
- Ekaterina Sharashova
- Department of Community Medicine, UiT The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
| | - Jocasta Ball
- Pre-Clinical Disease and Prevention, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Bente Morseth
- Department of Community Medicine, UiT The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Eva Gerdts
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Laila A Hopstock
- Department of Community Medicine, UiT The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
| | - Ellisiv B Mathiesen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Henrik Schirmer
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Akershus University Hospital, Lørenskog, Oslo, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
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40
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Abstract
Although the health benefits of physical activity are well documented, a large proportion of the population fails to meet current guidelines for physical activity. In order to develop evidence-based public health policies, surveillance of physical activity prevalence and trends is essential. The main aim of this study was to present updated data on physical activity trends in a Norwegian general population over the last decades. Data were collected from 40 690 individuals (50% men) aged ≥20 years participating in at least one of six surveys of the population-based Tromsø Study between 1979 and 2016. Age-standardized prevalences and trends in leisure-time and occupational physical activity were obtained from three questionnaires used in the different surveys. We observed an increase in the proportion engaging in exercise in leisure-time between 1994–95 and 2001 (p <0.001). Based on a different questionnaire, the age-standardized prevalence of engagement in exercise in leisure-time increased significantly from 16% in 2001 to 23% in 2007–08, and further to 28% in 2015–16 (p <0.001). The proportion who reported exercising approximately every day increased from 19% in 2007–08 to 28% in 2015–16 (p <0.001). The age-standardized prevalence of sedentary occupational activity increased from 53% in 2007–08 to 57% in 2015–16 (p <0.001), which extends the gradual increase from 36% in 1979-80.The present study extends previous findings from the Tromsø Study by demonstrating an increase in the proportion exercising regularly over the last three decades. This increase may partially counteract the gradual increase in the proportion with sedentary occupational activity.
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Affiliation(s)
- Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- * E-mail:
| | - Laila Arnesdatter Hopstock
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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41
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Rosenbaum S, Morell R, Abdel-Baki A, Ahmadpanah M, Anilkumar TV, Baie L, Bauman A, Bender S, Boyan Han J, Brand S, Bratland-Sanda S, Bueno-Antequera J, Camaz Deslandes A, Carneiro L, Carraro A, Castañeda CP, Castro Monteiro F, Chapman J, Chau JY, Chen LJ, Chvatalova B, Chwastiak L, Corretti G, Dillon M, Douglas C, Egger ST, Gaughran F, Gerber M, Gobbi E, Gould K, Hatzinger M, Holsboer-Trachsler E, Hoodbhoy Z, Imboden C, Indu PS, Iqbal R, Jesus-Moraleida FR, Kondo S, Ku PW, Lederman O, Lee EHM, Malchow B, Matthews E, Mazur P, Meneghelli A, Mian A, Morseth B, Munguia-Izquierdo D, Nyboe L, O’Donoghue B, Perram A, Richards J, Romain AJ, Romaniuk M, Sadeghi Bahmani D, Sarno M, Schuch F, Schweinfurth N, Stubbs B, Uwakwe R, Van Damme T, Van Der Stouwe E, Vancampfort D, Vetter S, Waterreus A, Ward PB. Assessing physical activity in people with mental illness: 23-country reliability and validity of the simple physical activity questionnaire (SIMPAQ). BMC Psychiatry 2020; 20:108. [PMID: 32143714 PMCID: PMC7060599 DOI: 10.1186/s12888-020-2473-0] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 01/30/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Physical inactivity is a key contributor to the global burden of disease and disproportionately impacts the wellbeing of people experiencing mental illness. Increases in physical activity are associated with improvements in symptoms of mental illness and reduction in cardiometabolic risk. Reliable and valid clinical tools that assess physical activity would improve evaluation of intervention studies that aim to increase physical activity and reduce sedentary behaviour in people living with mental illness. METHODS The five-item Simple Physical Activity Questionnaire (SIMPAQ) was developed by a multidisciplinary, international working group as a clinical tool to assess physical activity and sedentary behaviour in people living with mental illness. Patients with a DSM or ICD mental illness diagnoses were recruited and completed the SIMPAQ on two occasions, one week apart. Participants wore an Actigraph accelerometer and completed brief cognitive and clinical assessments. RESULTS Evidence of SIMPAQ validity was assessed against accelerometer-derived measures of physical activity. Data were obtained from 1010 participants. The SIMPAQ had good test-retest reliability. Correlations for moderate-vigorous physical activity was comparable to studies conducted in general population samples. Evidence of validity for the sedentary behaviour item was poor. An alternative method to calculate sedentary behaviour had stronger evidence of validity. This alternative method is recommended for use in future studies employing the SIMPAQ. CONCLUSIONS The SIMPAQ is a brief measure of physical activity and sedentary behaviour that can be reliably and validly administered by health professionals.
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Affiliation(s)
- S. Rosenbaum
- grid.1005.40000 0004 4902 0432School of Psychiatry, UNSW Sydney, Sydney, Australia
| | - R. Morell
- grid.1005.40000 0004 4902 0432School of Psychiatry, UNSW Sydney, Sydney, Australia
| | - A. Abdel-Baki
- grid.410559.c0000 0001 0743 2111Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, Canada
| | - M. Ahmadpanah
- grid.411950.80000 0004 0611 9280Behavioral Disorders and Substances Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - T. V. Anilkumar
- grid.413226.00000 0004 1799 9930Department of Psychiatry, Government Medical College, Trivandrum, India
| | - L. Baie
- grid.16149.3b0000 0004 0551 4246Department of Psychosomatics and Psychotherapy, University Hospital Münster, Münster, Germany
| | - A. Bauman
- grid.1013.30000 0004 1936 834XSchool of Public Health, University of Sydney, Sydney, Australia
| | - S. Bender
- LWL-Klinik Marsberg, Hospital for Psychiatry, Psychotherapy and Psychosomatics, Marsberg, Germany
| | - J. Boyan Han
- grid.253561.60000 0001 0806 2909California State University, Los Angeles, USA
| | - S. Brand
- grid.6612.30000 0004 1937 0642University of Basel, Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, Basel, Switzerland ,grid.12711.340000 0001 2369 7670Department of Biomolecular Sciences, University of Urbino, Urbino, Italy ,grid.477714.60000 0004 0587 919XThe Sutherland Hospital, South Eastern Sydney Local Health District, Sydney, Australia
| | - S. Bratland-Sanda
- Department of Sport, Physical Education and Outdoor Studies, University of South-Eastern Norway, Bø, Notodden, Norway
| | - J. Bueno-Antequera
- grid.15449.3d0000 0001 2200 2355Physical Performance & Sports Research Center, Department of Sports and Computer Science, Section of Physical Education and Sports, Faculty of Sports Sciences, Universidad Pablo de Olavide, Seville, Spain
| | - A. Camaz Deslandes
- grid.8536.80000 0001 2294 473XPsychiatry Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - L. Carneiro
- Research Centre in Sports Sciences, Health Sciences and Human Development, CIDESD, GERON Research Community, Vila Real, Portugal
| | - A. Carraro
- grid.34988.3e0000 0001 1482 2038Faculty of Education, Free University of Bolzano, Bolzano, Italy
| | - C. P. Castañeda
- Early Intervention Program, JHorwitz Psychiatric Institute, Santiago, Chile
| | - F. Castro Monteiro
- grid.8532.c0000 0001 2200 7498Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - J. Chapman
- grid.1049.c0000 0001 2294 1395QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - J. Y. Chau
- grid.1013.30000 0004 1936 834XSchool of Public Health, University of Sydney, Sydney, Australia ,grid.1004.50000 0001 2158 5405Department of Health Systems and Populations, Macquarie University, Sydney, Australia
| | - L. J. Chen
- grid.445057.7Department of Exercise Health Science, National Taiwan University of Sport, Taichung, Taiwan
| | - B. Chvatalova
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic
| | - L. Chwastiak
- grid.34477.330000000122986657Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, USA
| | - G. Corretti
- Department of Mental Health, North-West Tuscany, Italy
| | - M. Dillon
- HSE Louth Meath Mental Health Services, Louth, Ireland
| | - C. Douglas
- South Coast Private Hospital, Wollongong, Australia
| | - S. T. Egger
- grid.10863.3c0000 0001 2164 6351Department of Psychiatry, Faculty of Medicine, University of Oviedo, Oviedo, Spain ,grid.7400.30000 0004 1937 0650Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - F. Gaughran
- grid.451052.70000 0004 0581 2008South London and Maudesley NHS Foundation Trust, London, UK
| | - M. Gerber
- grid.12711.340000 0001 2369 7670Department of Biomolecular Sciences, University of Urbino, Urbino, Italy
| | - E. Gobbi
- grid.6612.30000 0004 1937 0642Department of Sport, Exercise and Health, Division of Sport and Psychosocial Health, University of Basel, Basel, Switzerland
| | - K. Gould
- grid.460013.0St John of God Hospital, North Richmond, Australia
| | - M. Hatzinger
- Psychiatric Services Solothurn, Solothurn, Switzerland
| | - E. Holsboer-Trachsler
- grid.6612.30000 0004 1937 0642Adult Psychiatric Clinics (UPKE), University of Basel, Basel, Switzerland
| | - Z. Hoodbhoy
- grid.7147.50000 0001 0633 6224Department of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan
| | - C. Imboden
- Psychiatric Services Solothurn, Solothurn, Switzerland ,Private Clinic Wyss, Muenchenbuchsee, Switzerland
| | - P. S. Indu
- grid.413226.00000 0004 1799 9930Department of Community Medicine, Government Medical College, Trivandrum, India
| | - R. Iqbal
- grid.7147.50000 0001 0633 6224Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - F. R. Jesus-Moraleida
- grid.8395.70000 0001 2160 0329Department of Physical Therapy, Universidade Federal do Ceará, Fortaleza, Brazil
| | - S. Kondo
- grid.412708.80000 0004 1764 7572Department of Neuropsychiatry, The University of Tokyo Hospital, Tokyo, Japan
| | - P. W. Ku
- grid.412038.c0000 0000 9193 1222Graduate Institute of Sports and Health, National Changhua University of Education, Changhua, Taiwan
| | - O. Lederman
- grid.477714.60000 0004 0587 919XKeeping the Body In Mind, South Eastern Sydney Local Health District, Sydney, Australia
| | - E. H. M. Lee
- grid.194645.b0000000121742757Department of Psychiatry, University of Hong Kong, Hong Kong, China
| | - B. Malchow
- grid.411984.10000 0001 0482 5331Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - E. Matthews
- grid.24349.380000000106807997School of Health Sciences, Waterford Institute of Technology, Waterford, Ireland
| | - P. Mazur
- LWL-Klinik Marsberg, Hospital for Psychiatry, Psychotherapy and Psychosomatics, Marsberg, Germany
| | - A. Meneghelli
- Association of early intervention in mental disorders-Cambiare la Rotta-Onlus, Milano, Italy
| | - A. Mian
- grid.7147.50000 0001 0633 6224Department of Psychiatry, Aga Khan University, Karachi, Pakistan
| | - B. Morseth
- grid.10919.300000000122595234School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - D. Munguia-Izquierdo
- grid.15449.3d0000 0001 2200 2355Physical Performance & Sports Research Center, Department of Sports and Computer Science, Section of Physical Education and Sports, Faculty of Sports Sciences, Universidad Pablo de Olavide, Seville, Spain
| | - L. Nyboe
- grid.154185.c0000 0004 0512 597XDepartment of Affective Disorders, Aarhus University Hospital, Aarhus, Denmark
| | - B. O’Donoghue
- grid.488501.0Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia
| | - A. Perram
- grid.267827.e0000 0001 2292 3111Faculty of Health, Victoria University Wellington, Wellington, New Zealand
| | - J. Richards
- grid.1013.30000 0004 1936 834XSchool of Public Health, University of Sydney, Sydney, Australia ,Gallipoli Medical Research Institute, Brisbane, Australia
| | - A. J. Romain
- grid.410559.c0000 0001 0743 2111Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, Canada
| | - M. Romaniuk
- grid.412112.50000 0001 2012 5829Kermanshah University of Medical Sciences, Sleep Disorders and Substance Abuse Prevention Research Center, Kermanshah, Iran
| | - D. Sadeghi Bahmani
- grid.6612.30000 0004 1937 0642University of Basel, Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, Basel, Switzerland ,grid.477714.60000 0004 0587 919XThe Sutherland Hospital, South Eastern Sydney Local Health District, Sydney, Australia
| | - M. Sarno
- Association of early intervention in mental disorders-Cambiare la Rotta-Onlus, Milano, Italy
| | - F. Schuch
- grid.411239.c0000 0001 2284 6531Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil
| | - N. Schweinfurth
- grid.6612.30000 0004 1937 0642University of Basel, Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, Basel, Switzerland
| | - B. Stubbs
- grid.13097.3c0000 0001 2322 6764Department of Psychological Medicine, King’s College London, London, England
| | - R. Uwakwe
- grid.412207.20000 0001 0117 5863Faculty of Medicine, Nnamdi Azikiwe University, Awka, Nigeria
| | - T. Van Damme
- grid.5596.f0000 0001 0668 7884Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - E. Van Der Stouwe
- grid.4494.d0000 0000 9558 4598University of Groningen, University Medical Center Groningen, University Center of Psychiatry, Groningen, Netherlands
| | - D. Vancampfort
- grid.5596.f0000 0001 0668 7884Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - S. Vetter
- grid.7400.30000 0004 1937 0650Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - A. Waterreus
- grid.1012.20000 0004 1936 7910Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, University of Western Australia, Perth, Australia
| | - P. B. Ward
- grid.1005.40000 0004 4902 0432School of Psychiatry, UNSW Sydney, Sydney, Australia ,grid.429098.eSchizophrenia Research Unit, Ingham Institute of Applied Medical Research, Liverpool, Australia
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Sagelv EH, Hopstock LA, Johansson J, Hansen BH, Brage S, Horsch A, Ekelund U, Morseth B. Criterion validity of two physical activity and one sedentary time questionnaire against accelerometry in a large cohort of adults and older adults. BMJ Open Sport Exerc Med 2020; 6:e000661. [PMID: 32153981 PMCID: PMC7047487 DOI: 10.1136/bmjsem-2019-000661] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2020] [Indexed: 11/17/2022] Open
Abstract
Objectives We compared the ability of physical activity and sitting time questionnaires (PAQ) for ranking individuals versus continuous volume calculations (physical activity level (PAL), metabolic equivalents of task (MET), sitting hours) against accelerometry measured physical activity as our criterion. Methods Participants in a cohort from the Tromsø Study completed three questionnaires; (1) The Saltin-Grimby Physical Activity Level Scale (SGPALS) (n=4040); (2) The Physical Activity Frequency, Intensity and Duration (PAFID) questionnaire (n=5902)) calculated as MET-hours·week-1 and (3) The International Physical Activity questionnaire (IPAQ) short-form sitting question (n=4896). We validated the questionnaires against the following accelerometry (Actigraph wGT3X-BT) estimates: vector magnitude counts per minute, steps∙day-1, time (minutes·day-1) in sedentary behaviour, light physical activity, moderate and vigorous physical activity (MVPA) non-bouted and ≥10 min bouted MVPA. Results Ranking of physical activity according to the SGPALS and quartiles (Q) of MET-hours∙week-1 from the PAFID were both positively associated with accelerometry estimates of physical activity (p<0.001) but correlations with accelerometry estimates were weak (SGPALS (PAL): r=0.11 to 0.26, p<0.001) and weak-to-moderate (PAFID: r=0.39 to 0.44, p<0.01). There was 1 hour of accelerometry measured sedentary time from Q1 to Q4 in the IPAQ sitting question (p<0.001) and also weak correlations (r=0.22, p<0.01). Conclusion Ranking of physical activity levels measured with PAQs appears to have higher validity than energy expenditure calculations. Self-reported sedentary time poorly reflects accelerometry measured sedentary time. These two PAQs can be used for ranking individuals into different physical activity categories supporting previous studies using these instruments when assessing associations with health outcomes.
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Affiliation(s)
- Edvard H Sagelv
- Faculty of Health Sciences, School of Sport Sciences, UiT Arctic University of Norway, Tromso, Troms, Norway
| | - Laila A Hopstock
- Faculty of Health Sciences, Department of Community Medicine, UiT Arctic University of Norway, Tromso, Troms, Norway
| | - Jonas Johansson
- Faculty of Health Sciences, Department of Community Medicine, UiT Arctic University of Norway, Tromso, Troms, Norway
| | - Bjørge H Hansen
- Faculty of Health and Sport Sciences, Department of Sport Science and Physical Education, University of Agder, Kristiansand, Vest-Agder, Norway
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, Cambridgeshire, UK.,Department of Sports Science and Clinical Biomechanics, Faculty of Health Sciences, University of Southern Denmark, Odense, Syddanmark, Denmark
| | - Alexander Horsch
- Faculty of Science and Technology, Department of Computer Science, UiT Arctic University of Norway, Tromso, Troms, Norway
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Oslo, Norway.,Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Oslo, Norway
| | - Bente Morseth
- Faculty of Health Sciences, School of Sport Sciences, UiT Arctic University of Norway, Tromso, Troms, Norway
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43
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Opdal IM, Morseth B, Handegård BH, Lillevoll KR, Nilsen W, Nielsen C, Furberg AS, Rosenbaum S, Rognmo K. Is change in mental distress among adolescents predicted by sedentary behaviour or screen time? Results from the longitudinal population study The Tromsø Study: Fit Futures. BMJ Open 2020; 10:e035549. [PMID: 32054629 PMCID: PMC7045274 DOI: 10.1136/bmjopen-2019-035549] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE There is growing interest in the relationship between sedentary behaviour and mental distress among adolescents, but the majority of studies to date have relied on self-reported measures with poor validity. Consequently, current knowledge may be affected by various biases. The aim of this study was to investigate the cross-sectional and longitudinal association between (1) objectively measured sedentary time and (2) self-reported screen time with mental distress among adolescents participating in The Tromsø Study: Fit Futures, in order to see if the association is dependent on mode of measurement of sedentary behaviour. DESIGN Prospective study. SETTING Sample drawn from upper secondary school students (mean age 16.3 years at baseline) from two municipalities in Northern Norway participating in The Tromsø Study: Fit Futures 1 and 2. PARTICIPANTS 686 adolescents (54.5% female), with complete self-reported and accelerometer data after multiple imputation. PRIMARY OUTCOME MEASURES Mental distress assessed via the Hopkins Symptom Checklist-10 (HSCL-10). RESULTS Minutes in sedentary behaviour measured by accelerometer showed no significant relationship with mental distress in neither crude, partly adjusted nor multiple adjusted hierarchic linear regression analyses. Self-reported screen time was positively associated with mental distress in all analyses (multiple adjusted, B=0.038, p=0.008, 95% CI 0.010 to 0.066). However, the effect was small. CONCLUSIONS Self-reported screen time was associated with slightly elevated mental distress 2 years later, whereas objectively measured minutes in sedentary behaviour was not, indicating a discrepancy in the results depending on measurement methods.
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Affiliation(s)
- Ida Marie Opdal
- Department of Psychology, UiT Arctic University of Norway, Tromso, Norway
| | - Bente Morseth
- School of Sports Sciences, UiT Arctic University of Norway, Tromso, Norway
| | - Bjørn-Helge Handegård
- Regional Centre for Child and Youth Mental Health and Child Welfare, UiT Arctic University of Norway, Tromso, Norway
| | | | - Wendy Nilsen
- Work Research Institute, Oslo Metropolitan University, Oslo, Norway
| | | | - Anne-Sofie Furberg
- Department of Community Medicine, UiT Arctic University of Norway, Tromso, Norway
- Department of Microbiology and Infection Control, Universitetssykehuset Nord-Norge, Tromso, Norway
| | - Simon Rosenbaum
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Black Dog Institute, Randwick, New South Wales, Australia
| | - Kamilla Rognmo
- Department of Psychology, UiT Arctic University of Norway, Tromso, Norway
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44
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Aars NA, Jacobsen BK, Morseth B, Emaus N, Grimsgaard S. Longitudinal changes in body composition and waist circumference by self-reported levels of physical activity in leisure among adolescents: the Tromsø study, Fit Futures. BMC Sports Sci Med Rehabil 2019; 11:37. [PMID: 31867112 PMCID: PMC6918575 DOI: 10.1186/s13102-019-0150-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 11/14/2019] [Indexed: 01/06/2023]
Abstract
Background It is not clear how physical activity affects body composition in adolescents. Physical activity levels are often reduced during this period, and the relative proportion of body fat mass and lean mass undergo natural changes in growing adolescents. We aimed to examine whether self-reported physical activity in leisure time at baseline or change in activity during follow-up affect changes in four measures of body composition; body mass index (kg/m2), waist circumference, fat mass index (fat mass in kg/m2) and lean mass index (lean mass in kg/m2). Methods We used data from the Tromsø Study Fit Futures, which invited all first year students in upper secondary high school in two municipalities in northern Norway in 2010–2011. They were reexamined in 2012–2013. Longitudinal data was available for 292 boys and 354 girls. We used multiple linear regression analyses to assess whether self-reported level of physical activity in leisure time at baseline predicted changes in body composition, and analysis of covariance to assess the effects of change in level of activity during follow-up on change in body composition. All analyses were performed sex-specific, and a p-value of < 0.05 was considered statistically significant. Results There were no associations between self-reported leisure time physical activity in the first year of upper secondary high school and changes in any of the considered measure of body composition after 2 years of follow up, with the exception of waist circumference in boys (p = 0.05). In boys, change in fat mass index differed significantly between groups of activity change (p < 0.01), with boys adopting activity or remaining physically active having less increase in fat mass index than the consistently inactive. In girls, change in lean mass index differed significantly between groups of activity change (p = 0.04), with girls adopting physical activity having the highest increase. Conclusions Self-reported leisure time physical activity does not predict changes in body composition in adolescents after 2 years of follow up. Change in the level of physical activity is associated with change in fat mass index in boys and lean mass index in girls.
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Affiliation(s)
- Nils Abel Aars
- 1Department of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway.,2Nordland Hospital, Bodø, Norway
| | - Bjarne K Jacobsen
- 1Department of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway.,3Centre for Sami Health Research, Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- 1Department of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway.,4School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Nina Emaus
- 5Department of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sameline Grimsgaard
- 1Department of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway
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45
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Sagelv EH, Ekelund U, Pedersen S, Brage S, Hansen BH, Johansson J, Grimsgaard S, Nordström A, Horsch A, Hopstock LA, Morseth B. Physical activity levels in adults and elderly from triaxial and uniaxial accelerometry. The Tromsø Study. PLoS One 2019; 14:e0225670. [PMID: 31794552 PMCID: PMC6890242 DOI: 10.1371/journal.pone.0225670] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 11/08/2019] [Indexed: 12/23/2022] Open
Abstract
Introduction Surveillance of physical activity at the population level increases the knowledge on levels and trends of physical activity, which may support public health initiatives to promote physical activity. Physical activity assessed by accelerometry is challenged by varying data processing procedures, which influences the outcome. We aimed to describe the levels and prevalence estimates of physical activity, and to examine how triaxial and uniaxial accelerometry data influences these estimates, in a large population-based cohort of Norwegian adults. Methods This cross-sectional study included 5918 women and men aged 40–84 years who participated in the seventh wave of the Tromsø Study (2015–16). The participants wore an ActiGraph wGT3X-BT accelerometer attached to the hip for 24 hours per day over seven consecutive days. Accelerometry variables were expressed as volume (counts·minute-1 and steps·day-1) and as minutes per day in sedentary, light physical activity and moderate and vigorous physical activity (MVPA). Results From triaxial accelerometry data, 22% (95% confidence interval (CI): 21–23%) of the participants fulfilled the current global recommendations for physical activity (≥150 minutes of MVPA per week in ≥10-minute bouts), while 70% (95% CI: 69–71%) accumulated ≥150 minutes of non-bouted MVPA per week. When analysing uniaxial data, 18% fulfilled the current recommendations (i.e. 20% difference compared with triaxial data), and 55% (95% CI: 53–56%) accumulated ≥150 minutes of non-bouted MVPA per week. We observed approximately 100 less minutes of sedentary time and 90 minutes more of light physical activity from triaxial data compared with uniaxial data (p<0.001). Conclusion The prevalence estimates of sufficiently active adults and elderly are more than three times higher (22% vs. 70%) when comparing triaxial bouted and non-bouted MVPA. Physical activity estimates are highly dependent on accelerometry data processing criteria and on different definitions of physical activity recommendations, which may influence prevalence estimates and tracking of physical activity patterns over time.
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Affiliation(s)
- Edvard H. Sagelv
- School of Sport Sciences, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- * E-mail:
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic Diseases and Ageing, the Norwegian Institute for Public Health, Oslo, Norway
| | - Sigurd Pedersen
- School of Sport Sciences, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
| | - Søren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
- Department of Sports Science and Clinical Biomechanics, Faculty of Health Sciences, Southern Denmark University, Odense, Denmark
| | - Bjørge H. Hansen
- Department of Sport Science and Physical Education, Faculty of Health Sciences, University of Agder, Agder, Norway
| | - Jonas Johansson
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
| | - Sameline Grimsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
| | - Anna Nordström
- School of Sport Sciences, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Alexander Horsch
- Department of Computer Science, Faculty of Natural Sciences, UiT the Arctic University of Norway, Tromsø, Norway
| | - Laila A. Hopstock
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
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46
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Mikkilä S, Calogiuri G, Emaus N, Morseth B. A cross-sectional and 6-year follow-up study of associations between leisure time physical activity and vertebral fracture in adults. BMC Musculoskelet Disord 2019; 20:435. [PMID: 31526375 PMCID: PMC6747745 DOI: 10.1186/s12891-019-2821-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Accepted: 09/10/2019] [Indexed: 11/13/2022] Open
Abstract
Introduction Vertebral fractures are common osteoporotic fractures, affecting 2–46% of the population, causing morbidity and increased risk of mortality. Physical activity has beneficial effects for bone health, including increased bone mineral density and reduced hip fractures. However, evidence concerning prevention of vertebral fractures is scarce. Therefore, the aim of this study was to investigate the association between leisure time physical activity and vertebral fracture risk. Methods The data were retrieved from the 2001 and 2007–2008 surveys of the Tromsø Study, a longitudinal population study in Norway. A total of 1904 participants (1030 women and 874 men, age 38–87 yr and 40–87 yr respectively) were included in the cross-sectional analysis (2007–2008). Prospective follow-up data (2001 to 2007) on physical activity were available for 1131 participants (636 women and 495 men, age 32–69 yr and 33–69 yr respectively). Physical activity was assessed by a questionnaire and vertebral fracture by lateral vertebral fracture assessment from dual-energy x-ray absorptiometry scans. Logistic regression was used to examine associations between physical activity and vertebral fracture. Results After controlling for confounders (age, height, weight, smoking, osteoporosis, osteoporosis medication, left hip total bone mineral density, and use of hormones in women only), no cross-sectional associations between physical activity levels and vertebral fracture were observed, OR 1.13 (95% CI: 0.59–2.13), for moderately active women and 1.44 (0.61–3.42) for highly active women, compared with sedentary women. In men, the respective ORs were 1.74 (95% CI: 0.91–3.35) and 1.64 (0.78–3.41). In the prospective analyses, OR for vertebral fracture in women with reduced physical activity was 0.81 (95% CI: 0.18–3.62), 1.24 (95% CI: 0.29–5.26) for increased physical activity and 1.54 (95% CI: 0.43–5.50) for active unchanged physical activity pattern, compared with sedentary unchanged physical activity. In men, the respective ORs were 2.05 (95% CI: 0.57–7.42), 2.23 (95% CI: 0.63–7.87), and 1.81 (95% CI: 0.54–6.02). Subanalyses of women and men ≥50 yr showed similar results. Conclusions Our findings suggest that physical activity does not play a major role in preventing vertebral fractures in Norwegian adults. Future studies may benefit from data on incident vertebral fracture, and objectively measured physical activity.
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Affiliation(s)
- Saija Mikkilä
- School of sport sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway. .,Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
| | - Giovanna Calogiuri
- Department of Dental Care and Public Health, Inland Norway University of Applied Sciences (INN), Elverum, Norway
| | - Nina Emaus
- Department of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of sport sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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47
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Opdal IM, Morseth B, Handegård BH, Lillevoll K, Ask H, Nielsen CS, Horsch A, Furberg AS, Rosenbaum S, Rognmo K. Change in physical activity is not associated with change in mental distress among adolescents: the Tromsø study: Fit Futures. BMC Public Health 2019; 19:916. [PMID: 31288796 PMCID: PMC6617649 DOI: 10.1186/s12889-019-7271-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 07/01/2019] [Indexed: 12/14/2022] Open
Abstract
Background Previous research shows that physical activity has a protective effect on mental distress in adults, but the relationship is less researched and seems more ambiguous for adolescents. Studies in this field have typically been cross-sectional by design and based on self-reported physical activity measures, which are known to be vulnerable to response bias. The aim of this study was to investigate the relationship between change in objectively assessed physical activity as measured by accelerometer and change in mental distress among adolescents using longitudinal data from The Tromsø Study: Fit Futures. Method This study was based on data from 676 upper-secondary school students (mean age 16.23 years at baseline, 45.26% boys) from The Tromsø Study: Fit Futures. Physical activity, mental distress and covariates were measured at baseline (T1) and follow-up (T2) 2 years later. Physical activity was objectively measured with an ActiGraph GT3X accelerometer over 7 days. Mental distress was measured with the Hopkins Symptom Checklist-10 (HSCL-10). Change score variables were computed as the difference between T1 and T2 in number of steps, number of minutes of moderate to vigorous physical activity (MVPA) and mental distress between T1 and T2, and analyzed using linear regression analysis. Results Changes in steps per day were not associated with changes in mental distress in neither the crude, partially, nor fully adjusted model. Neither was changes in minutes of MVPA per day. Interaction effects between change in both steps per day and minutes of MVPA and gender were also not statistically significant, nor was the interaction effects between baseline levels of mental distress and physical activity. Conclusion The results of our study indicate that for adolescents in the sample, change in physical activity is unrelated to change in mental distress over a two-year period.
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Affiliation(s)
- Ida Marie Opdal
- Department of Psychology, UiT The Arctic University of Norway, Tromsø, Norway.
| | - Bente Morseth
- School of Sports Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørn Helge Handegård
- Regional Centre for Child and Youth Mental Health and Child Welfare, UiT The Arctic University of Norway, Tromsø, Norway
| | - Kjersti Lillevoll
- Department of Psychology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Helga Ask
- Norwegian Institute of Public Health, Oslo, Norway
| | | | - Alexander Horsch
- Department of Computer Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Anne-Sofie Furberg
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Simon Rosenbaum
- School of psychiatry, University of New South Wales, Sydney, Australia.,Black Dog Institute, Sydney, Australia
| | - Kamilla Rognmo
- Department of Psychology, UiT The Arctic University of Norway, Tromsø, Norway
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48
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Hoaas H, Zanaboni P, Hjalmarsen A, Morseth B, Dinesen B, Burge AT, Cox NS, Holland AE. Seasonal variations in objectively assessed physical activity among people with COPD in two Nordic countries and Australia: a cross-sectional study. Int J Chron Obstruct Pulmon Dis 2019; 14:1219-1228. [PMID: 31239657 PMCID: PMC6556464 DOI: 10.2147/copd.s194622] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 02/25/2019] [Indexed: 11/23/2022] Open
Abstract
Purpose: Seasons and weather conditions might influence participation in physical activity and contribute to differences between countries. This study aimed at investigating whether there were differences in physical activity levels between Norwegian, Danish and Australian people with chronic obstructive pulmonary disease (COPD), and establishing if any variations in physical activity were attributable to seasons. Patients and methods: A cross-sectional study where study subjects were people with COPD who participated in two separate clinical trials: the iTrain study (Norway, Denmark, and Australia) and the HomeBase study (Australia). Physical activity was objectively assessed with an activity monitor; variables were total energy expenditure, number of daily steps, awake sedentary time, light, and moderate-to-vigorous intensity physical activity. Differences in physical activity between countries and seasons were compared, with adjustment for disease severity. Results: In total, 168 participants were included from Norway (N=38), Denmark (N=36) and Australia (N=94). After controlling for disease severity, time spent in awake sedentary time was greater in Danish participants compared to the other countries (median 784 minutes/day [660–952] vs 775 minutes/day [626–877] for Norwegians vs 703 minutes/day [613–802] for Australians, P=0.013), whilst time spent in moderate to vigorous physical activity was lower (median 21 minutes/day [4–73] vs 30 minutes/day [7–93] for Norwegians vs 48 minutes/day [19–98] for Australians, P=0.024). Participants walked more during summer (median 3502 [1253–5407] steps/day) than in spring (median 2698 [1613–5207] steps/day), winter (median 2373 [1145–4206] steps/day) and autumn (median 1603 [738–4040] steps/day), regardless of geography. The median difference between summer and other seasons exceeded the minimal clinically important difference of 600 steps/day. However, the differences were not statistically significant (P=0.101). Conclusion: After controlling for disease severity, Danish participants spent more time in an awake sedentary state and less time in moderate to vigorous physical activity than their counterparts in Norway and Australia. People with COPD increased their physical activity in summer compared to other seasons. Weather conditions and seasonal variations may influence outcomes in clinical trials and health registries measuring physical activity over time, irrespective of the interventions delivered, and should be taken into account when interpreting results.
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Affiliation(s)
- Hanne Hoaas
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.,Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Paolo Zanaboni
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
| | - Audhild Hjalmarsen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,Department of Pulmonary Medicine, University Hospital of North Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Birthe Dinesen
- Laboratory of Welfare Technologies - Telehealth & Telerehabilitation, SMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Angela T Burge
- Discipline of Physiotherapy, La Trobe University, Melbourne, Australia.,Department of Physiotherapy, Alfred Health, Melbourne, Australia.,Institute for Breathing and Sleep, Melbourne, Australia
| | - Narelle S Cox
- Discipline of Physiotherapy, La Trobe University, Melbourne, Australia.,Institute for Breathing and Sleep, Melbourne, Australia
| | - Anne E Holland
- Discipline of Physiotherapy, La Trobe University, Melbourne, Australia.,Department of Physiotherapy, Alfred Health, Melbourne, Australia.,Institute for Breathing and Sleep, Melbourne, Australia
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Sagelv EH, Ekelund U, Johansson J, Welde B, Grimsgaard S, Emaus N, Nordström A, Brage S, Horsch A, Hopstock LA, Morseth B. Measures Of Adiposity And Its Association To Physical Activity In Adults: The Tromsø Study. Med Sci Sports Exerc 2019. [DOI: 10.1249/01.mss.0000561838.55831.57] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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50
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Hermansen R, Jacobsen BK, Løchen ML, Morseth B. Leisure time and occupational physical activity, resting heart rate and mortality in the Arctic region of Norway: The Finnmark Study. Eur J Prev Cardiol 2019; 26:1636-1644. [DOI: 10.1177/2047487319848205] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aims This study examined the association of leisure time physical activity, occupational physical activity, and resting heart rate with all-cause and cardiovascular disease mortality in Sami and non-Sami populations. Study design This was a longitudinal, observational population-based study. Methods The Finnmark 3 study cohort was examined in 1987–1988 and followed for all-cause and cardiovascular disease mortality for 26 years. The cohort included 17,697 men and women with a mean age of 47.2 years at baseline. Leisure time physical activity and occupational physical activity were assessed with a validated questionnaire at baseline, whereas cause of death was obtained from the Norwegian Cause of Death Registry. Results A total of 1983 women and 3147 men died during follow-up. Leisure time physical activity was linearly and inversely associated with all-cause mortality, but not coronary heart disease mortality. Compared to inactive subjects, all-cause mortality was significantly reduced by 16% in the active leisure time physical activity group (hazard ratio 0.84; 95% confidence interval 0.76–0.92). Both for all-cause and cardiovascular disease mortality, we observed a U-shaped relationship with occupational physical activity, as participants in the walking and lifting group had significantly lower mortality than both the mostly sedentary and the heavy manual labour group ( p < 0.05). An increase in resting heart rate by one beat per minute was associated with a 1.1% increase in all-cause mortality (hazard ratio 1.011; 95% confidence interval 1.009–1.013). The associations were similar in Sami and non-Sami subjects. Conclusion In this population-based study, leisure time physical activity was inversely associated with all-cause mortality, whereas resting heart rate was positively associated with all-cause and cardiovascular disease mortality. There was a U-shaped association between occupational physical activity and cardiovascular disease and all-cause mortality.
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Affiliation(s)
- Rune Hermansen
- Department of Community Medicine, UiT The Arctic University of Norway, Norway
- Finnmark Hospital Health Trust, Kirkenes Hospital, Norway
| | - Bjarne K Jacobsen
- Department of Community Medicine, UiT The Arctic University of Norway, Norway
- Centre for Sámi Health Research, UiT The Arctic University of Norway, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Norway
| | - Bente Morseth
- Department of Community Medicine, UiT The Arctic University of Norway, Norway
- School of Sport Sciences, UiT The Arctic University of Norway, Norway
- Centre for Clinical Research and Education, University Hospital of North Norway Trust, Norway
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