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- Pellerine, Liam P., et al.
(författare)
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Step Length, But Not Stepping Cadence, Strongly Predicts Physical Activity Intensity During Jogging and Running
- 2023
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Ingår i: Measurement in Physical Education and Exercise Science. - : Taylor & Francis. - 1091-367X .- 1532-7841. ; 27:4, s. 352-361
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Tidskriftsartikel (refereegranskat)abstract
- Device-based measures often rely on the positive relationship between walking cadence and metabolic equivalents of task (METs) to estimate physical activity. It is unknown whether this relationship remains during jogging/running. The study purpose was to investigate the relationships between METs, cadence, and step length during walking and jogging/running. A treadmill protocol with 5 walking (3.2–6.4 km•hr−1) and 5 jogging/running stages (8.0–11.3 km•hr−1) was completed in 43 adults (23 ± 5 years, 19♀). Predictors of METs during walking and jogging/running were determined by generalized mixed modeling. The strongest prediction models for walking (R2 = 0.72, P < .001) and jogging/running (R2 = 0.75, P < .001) included cadence2, cadence, step length, age, and leg length (all, P < .001). Step length accounted for 49.1% and 78.3% of model variance during walking and jogging/running, respectively. METs are poorly estimated by cadence during jogging/running but step length reduces error. Strategies to measure step length in free-living settings could better predict physical activity intensity.
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| 2. |
- Suorsa, Kristin, et al.
(författare)
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Longitudinal Associations between 24-h Movement Behaviors and Cardiometabolic Biomarkers : A Natural Experiment over Retirement
- 2024
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Ingår i: Medicine & Science in Sports & Exercise. - : Wolters Kluwer. - 0195-9131 .- 1530-0315. ; 56:7, s. 1297-1306
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Tidskriftsartikel (refereegranskat)abstract
- Introduction Physical activity, sedentary behavior, and sleep, that is, 24-h movement behaviors, often change in the transition from work to retirement, which may affect cardiometabolic health. This study investigates the longitudinal associations between changes in 24-h movement behaviors and cardiometabolic biomarkers during the retirement transition.Methods Retiring public sector workers (n = 212; mean (SD) age, 63.5 (1.1) yr) from the Finnish Retirement and Aging study used a thigh-worn Axivity accelerometer and filled out a diary to obtain data on daily time spent in sedentary behavior (SED), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), and sleep before and after retirement (1 yr in-between). Cardiometabolic biomarkers, including LDL-cholesterol, HDL-cholesterol, total/HDL-cholesterol ratio, triglycerides, C-reactive protein, fasting glucose, and insulin, were measured. Associations between changes in 24-h movement behaviors and cardiometabolic biomarkers were analyzed using compositional robust regression and isotemporal substitution analysis.Results Increasing LPA in relation to remaining behaviors was associated with an increase in HDL-cholesterol and decrease in total/HDL-cholesterol ratio (P < 0.05 for both). For instance, reallocation of 30 min from sleep/SED to LPA was associated with an increase in HDL-cholesterol by 0.02 mmol·L−1. Moreover, increasing MVPA in relation to remaining behaviors was associated with a decrease in triglycerides (P = 0.02). Reallocation of 30 min from SED/sleep to MVPA was associated with 0.07–0.08 mmol·L−1 decrease in triglycerides. Findings related to LDL-cholesterol, C-reactive protein, fasting glucose, and insulin were less conclusive.Conclusions During the transition from work to retirement, increasing physical activity at the expense of passive behaviors was associated with a better lipid profile. Our findings suggest that life transitions like retirement could be utilized more as an optimal time window for promoting physical activity and health.
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| 3. |
- Suorsa, Kristin, et al.
(författare)
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Modifications of 24-h movement behaviors to prevent obesity in retirement : a natural experiment using compositional data analysis
- 2023
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Ingår i: International Journal of Obesity. - : Springer Nature. - 0307-0565 .- 1476-5497. ; 47:10, s. 922-930
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundRetirement often leads to a more passive lifestyle and may therefore lead to weight gain. This study aims to investigate longitudinal associations between changes in 24-h movement behaviors and BMI and waist circumference in relation to the transition from work to retirement.MethodsThe study population included 213 retiring public sector workers (mean age 63.5 years, standard deviation 1.1) from the Finnish Retirement and Aging study. Before and after retirement participants wore an Axivity accelerometer on their thigh and filled in a daily log for at least four days to measure daily time spent sleeping, in sedentary behavior (SED), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Also, their body mass index (BMI) and waist circumference were measured repeatedly. Compositional linear regression analysis and isotemporal substitution analysis were used to study associations between one-year changes in 24-h movement behaviors and concurrent changes in BMI and waist circumference.ResultsAn increase in MVPA in relation to sleep, SED and LPA was associated with a decreasing BMI (β = −0.60, p = 0.04) and waist circumference (β = −2.14, p = 0.05) over one year from before retirement to after retirement. In contrast, increasing sleep in relation to SED, LPA and MVPA was associated with an increasing BMI (β = 1.34, p = 0.02). Reallocating 60 min from MVPA to SED or sleep was estimated to increase BMI by on average 0.8–0.9 kg/m2 and waist circumference by 3.0 cm during one year.ConclusionsDuring the transition from work to retirement, increasing MVPA was associated with a slight decrease in BMI and waist circumference, whereas increasing sleep was associated with an increasing BMI. Common life transitions, like retirement, should be considered when giving recommendations and guidance for physical activity and sleep.
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