Search results for "Physical activity"

Accelerometry - Simple, but challenging

2017

Directly measured and self-reported physical activity in a sample of Finnish secondary school students

2012

Background: Previous studies based on self-reports show that a majority of children and adolescents in Western countries fail to achieve the recommendation of 60 minutes moderate to vigorous physical activity (PA) on a daily basis. The specific aim of the study was to analyze the relationship between directly measured and self-reported PA in a cross-sectional sample of Finnish secondary school students. Moreover, how large proportion of adolescents accumulate at least 60 minutes of moderate to vigorous PA on a daily basis using self-reports and direct measure scores. Methods: Participants were recruited from a secondary school located in Northeast Finland. The sample comprised 96 students (…

Effect of a Service-Learning Program on the Active Lifestyle of Children with Autism Spectrum Disorder: A Pilot Study

2020

Background: active lifestyles and Physical Activity (PA) are closely related to health. Healthy habits such as being physically active should be consolidated during childhood. Children with Autism Spectrum Disorders (ASD) present fewer opportunities to be involved in PA. For this reason, we conducted a Service-Learning (SL) program to enhance the possibility of participating ASD children enjoying PA sessions. The aim of this study was to analyze and describe the evolution in terms of the frequency and intensity of PA performed by ASD children who participated in the SL program. Methods: we used a quasi-experimental design. The sample was formed by 26 children with ASD (Experimental group: n…

The association of childhood commuting modes and physical activity in adult age

2022

Background Physically active lifestyle prevents and contributes to managing non-communicable diseases. Childhood physical activities have shown to associate with physically active lifestyle in adulthood. More research on which childhood physical activity modes associate with physical activity in later life is still needed. Within the present study, we examined how physically active commuting to school in childhood contributed to overall physical activity in adulhood. Methods The participants (N = 3596) were from the population-based, longitudinal Cardiovascular Risks in Young Finns Study. Questionnaires were used in assessing subjects' childhood (1980) and adulthood (2001-2018) physical act…

Public employees in South-Western Norway using an e-bike or a regular bike for commuting – A cross-sectional comparison on sociodemographic factors, …

2019

Large-scale analyses on the travel behavior of e-bikes are scarce, and current knowledge regarding who the e-bike owners are is inconsistent. Also, commuters represent a relevant user group with an unexploited potential. Therefore, the purpose of the present study was to examine (i) associations between type of bike (e-bike vs. regular bike) with place of residence (county), sociodemographic variables (age, sex, educational level, income and ethnicity) and habitual physical activity level, and (ii) if public employees possessing an e-bike cycle more often and longer distances to work. A cross-sectional survey was conducted in 2017 among 1977 (5.2% of eligible subjects) public employees in S…

The Individual-level Productivity Costs of Physical Inactivity

2023

Abstract Purpose: This study estimated the long-term individual-level productivity costs of physical inactivity. Methods: The data were drawn from the Northern Finland Birth Cohort 1966, to which the productivity cost variables (sick leaves and disability pensions) from Finnish registries were linked. Individuals (N = 6261) were categorized into physical activity groups based on their level of physical activity, which was measured in three ways: 1) self-reported leisure-time moderate- to vigorous-intensity physical activity (MVPA) at 46 yr old, 2) longitudinal self-reported leisure-time MVPA at 31–46 yr old, and 3) accelerometer-measured overall MVPA at 46 yr old. The human capital approach…

Organizational effectiveness as perceived by Jyväskylä Sports Centre stakeholders

1997

Brain, cognition and physically active lifestyle in healthy ageing

2018

Normal ageing is accompanied by profound changes in brain structure and declines in the automatic processing of sensory stimuli, which in turn lead to altered cognitive performance. However, behaviour and lifestyle factors, such as physical activity, may help to maintain the brain’s structural connectivity and function, as well as cognitive functioning in old age. Study I examined the effects of age on the brain’s capability to detect changes in somatosensory stimuli by recording event-related potentials (ERPs) in response to electrical stimulation of different fingers in young and older adults. The results of Study I show that somatosensory mismatch response (sMMR) was attenuated in amplit…

Physical Inactivity from Youth to Adulthood and Risk of Impaired Glucose Metabolism

2018

INTRODUCTION: Physical activity (PA) is important in the prevention and treatment of impaired glucose metabolism. However, association of physical inactivity during the transition between childhood and adulthood with glucose metabolism is unknown. Therefore, we studied the association of persistent physical inactivity since childhood with glucose metabolism in adulthood. METHODS: Data were drawn from the ongoing, Cardiovascular Risk in Young Finns Study with repeated follow-ups between 1980 and 2011 (baseline age, 3-18 yr; n = 3596). Impaired glucose metabolism was defined as having impaired fasting glucose (6.1-6.9 mmol·L) or type 2 diabetes in adulthood. Leisure-time PA habits were repeat…

Longitudinal physical activity trajectories from childhood to adulthood and their determinants : The Young Finns Study

2018

Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N = 3596; 1764 boys/1832 girls, age 3-18 years) has been followed up for 31 years. PA indices were formed based on self-reported data (between age 9-49 years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/comp…