Search results for " ACT"
showing 10 items of 14071 documents
The Large Observatory For x-ray Timing
2014
The Large Observatory For x-ray Timing (LOFT) was studied within ESA M3 Cosmic Vision framework and participated in the final down-selection for a launch slot in 2022-2024. Thanks to the unprecedented combination of effective area and spectral resolution of its main instrument, LOFT will study the behaviour of matter under extreme conditions, such as the strong gravitational field in the innermost regions of accretion flows close to black holes and neutron stars, and the supra-nuclear densities in the interior of neutron stars. The science payload is based on a Large Area Detector (LAD, 10 m 2 effective area, 2-30 keV, 240 eV spectral resolution, 1 deg collimated field of view) and a WideFi…
Factors behind Leisure-Time Physical Activity Behavior Based on Finnish Twin Studies: The Role of Genetic and Environmental Influences and the Role o…
2014
Different approaches are being taken to clarify the role of various factors in the development of physical activity behaviors. Genetic studies are a new area of physical activity research and also the motives for physical activity have been widely studied. The purpose of this paper is to review the findings emerging from the longitudinal genetic studies on leisure-time physical activity and to evaluate the associations between motivational factors and leisure-time physical activity. The focus is to review recent findings of longitudinal Finnish twin studies. The results of the latest longitudinal Finnish twin studies point to the existence of age-specific genetic and environmental influence…
Physical activity from adolescence to young adulthood: patterns of change, and their associations with activity domains and sedentary time
2021
Background Longitudinal studies demonstrate an average decline in physical activity (PA) from adolescence to young adulthood. However, while some subgroups of adolescents decrease activity, others increase or maintain high or low activity. Activity domains may differ between subgroups (exhibiting different PA patterns), and they offer valuable information for targeted health promotion. Hence, the aim of this study was to identify PA patterns from adolescence to young adulthood; also to explore the associations of (i) changes in PA domains and in sedentary time, (ii) sociodemographic factors, and (iii) self-rated health with diverging PA patterns. Methods The observational cohort study data …
Parental Support and Objectively Measured Physical Activity in Children : A Yearlong Cluster-Randomized Controlled Efficacy Trial
2017
Purpose: We studied whether physical activity (PA) counseling for parents influenced the level of parental support of children’s PA and leisure-time PA in children of different levels of initial parental support. We hypothesized that the initial level of parental support would moderate the intervention efficacy. Method: Children (n = 44, Mage = 6.09 ± 1.17 years) and their parents (n = 61) randomly assigned to an intervention group received counseling for 6 months. Children in the control group (n = 47, Mage = 6.12 ± 1.11 years) and their parents (n = 63) did not receive any counseling. Parental support was assessed using the Family Physical Activity Environment Questionnaire, and children’…
Meeting the WHO 24-h guidelines among 2–6-year-old children by family socioeconomic status before and during the COVID-19 pandemic : a repeated cross…
2023
Background The World Health Organization (WHO) has developed guidelines for 24-h physical activity (PA), sedentary behaviour and sleep for young children. Lower socioeconomic status (SES) has been linked to a lower likelihood of meeting these guidelines. The outbreak of the novel coronavirus disease (COVID-19) raised concerns about young children’s opportunities to meet the guidelines. The study focused on the prevalence of meeting the WHO’s 24-h guidelines on screen time (ST), PA and sleep among 2–6-year-old children, in association with family SES, before COVID-19 outbreak in 2019, and during the pandemic in 2020 and 2021 in Finland. Methods Data were collected at three timepoints by an o…
Young Elderly and Digital Coaching : A Quantitative Intervention Study on Exercise Self-Efficacy
2020
Sport and wellness technology devices are becoming an increasingly relevant topic when discussing health and wellness. This study focuses on the use of a “digital coach”, within a specific population, young elderly people. This research explored how the use of a digital coach would affect self-efficacy related to physical activity and exercise among young elderly. Thisquantitative intervention study provided a digital coaching device to a group of young elderly people ranging from 61-78 in age for 10-weeks. It was found that a digital coach may be useful for this population, particularly in increasing their perceived confidence in exercising independently. However, the participants’ percept…
Changes in the Use Intention of Digital Wellness Technologies and Its Antecedents Over Time : The Use of Physical Activity Logger Applications Among …
2021
Physical inactivity has become a prevalent problem among elderly people. Although digital wellness technologies have been proposed as one promising solution to it, our understanding on the antecedents of the acceptance and use of these technologies among elderly people remains limited. In this study, our objective is to promote this understanding by examining the potential changes in the use intention of digital wellness technologies and its antecedents over time in the case of the young elderly segment and physical activity logger applications. We base this examination theoretically on UTAUT2 and empirically on survey data that is collected from 99 Finnish young elderly users of a physical…
A Follow-Up On The Changes in the Changes in the Use Intention of Digital Wellness Technologies and Its Antecedents Over Time : The Use of Physical A…
2021
This study aims to further promote the understanding of the antecedents of the acceptance and use of digital wellness technologies among elderly people through a follow-up to our two prior studies, one which examines the potential longer-term temporal changes in the use intention of digital wellness technologies and its antecedents in the case of the young elderly segment and physical activity logger applications. We base this examination theoretically on UTAUT2 and empirically on survey data that is collected from 92 Finnish young elderly users of a physical activity logger application in three subsequent time points and analysed with partial least squares structural equation modelling (PL…
Forming Sustainable Physical Activity Programs Among Young Elderly : A Combined ELM & UTAUT Approach
2021
There is consensus in health studies that regular physical activities of sufficient intensity and duration contribute to better health both in the short and long term. In an ongoing research program, we focus on getting the young elderly, the 60-75 years age group, to adopt and include physical activities as part of their daily routines. One reason for addressing young elderly is large numbers – in Finland health care costs for the elderly was 3.7 B€ in 2019 and will increase dramatically if the young elderly group is in bad shape when they reach the 75+ age group. We are finding out that systematic physical activities can serve as preventive health care for the young elderly. We are also l…
Applying UTAUT2 to Explain the Use of Physical Activity Logger Applications Among Young Elderly
2020
Digital wellness technologies have been proposed as a promising way to promote the levels of physical activity and to solve the prevalent problem of physical inactivity among elderly people. In this study, we propose and test a research model for explaining the acceptance and use of these technologies in the case of the young elderly segment (people aged 60–75 years) and physical activity logger applications. The proposed model is theoretically founded on UTAUT2, and it is empirically tested by using the data collected from 115 Finnish young elderly users of a physical activity logger application and analysed with partial least squares based structural equation modelling (PLS-SEM). We find …