26 research outputs found
Calcium Gluconate in Phosphate Buffered Saline Increases Gene Delivery with Adenovirus Type 5
Peer reviewe
Suspected Motor Problems and Low Preference for Active Play in Childhood Are Associated with Physical Inactivity and Low Fitness in Adolescence
Background - This prospective longitudinal study investigates whether suspected motor problems and low preference for active play in childhood are associated with physical inactivity and low cardiorespiratory fitness in adolescence.
Methodology/Principal Findings -
The study sample consisted of the Northern Finland Birth Cohort 1986 (NFBC 1986) composed of 5,767 children whose parents responded to a postal inquiry concerning their children's motor skills at age 8 years and who themselves reported their physical activity at age 16 years. Cardiorespiratory fitness was measured with a cycle ergometer test at age 16 years. Odds ratios (OR) and their 95% confidence intervals (95% CI) for the level of physical activity and fitness were obtained from multinomial logistic regression and adjusted for socio-economic position and body mass index. Low preference for active play in childhood was associated with physical inactivity (boys: OR 3.31, 95% CI 2.42–4.53; girls: OR 1.79, 95% CI 1.36–2.36) and low cardiorespiratory fitness (boys: OR 1.87, 95% CI 1.27–2.74; girls: OR 1.52, 95% CI 1.09–2.11) in adolescence. Suspected gross (OR 2.16, 95% CI 1.33–3.49) and fine (OR 1.88, 95% CI 1.35–2.60) motor problems were associated with physical inactivity among boys. Children with suspected motor problems and low preference for active play tended to have an even higher risk of physical inactivity in adolescence.
Conclusions/Significance -
Low preference for active play in childhood was associated with physical inactivity and low cardiorespiratory fitness in adolescence. Furthermore, children with suspected motor problems and low preference for active play tended to have an even higher risk of physical inactivity in adolescence. Identification of children who do not prefer active play and who have motor problems may allow targeted interventions to support their motor learning and participation in active play and thereby promote their physical activity and fitness in later life.peerReviewe
The associations of objectively measured physical activity and sedentary time with cognitive functions in school-aged children
Abstract.
Low levels of physical activity among children have raised concerns over the effects of a physically inactive lifestyle, not only
on physical health but also on cognitive prerequisites of learning. This study examined how objectively measured and self-
reported physical activity and sedentary behavior are associated with cognitive functions in school-aged children. The study
population consisted of 224 children from five schools in the Jyva
̈
skyla
̈
school district in Finland (mean age 12.2 years; 56%
girls), who participated in the study in the spring of 2011. Physical activity and sedentary time were measured objectively for
seven consecutive days using the ActiGraph GT1M/GT3X accelerometer. Self-reported moderate to vigorous physical
activity (MVPA) and screen time were evaluated with the questions used in the ‘‘WHO Health Behavior in School-aged
Children’’ study. Cognitive functions including visual memory, executive functions and attention were evaluated with a
computerized Cambridge Neuropsychological Test Automated Battery by using five different tests. Structural equation
modeling was applied to examine how objectively measured and self-reported MVPA and sedentary behavior were
associated with cognitive functions. High levels of objectively measured MVPA were associated with good performance in
the reaction time test. High levels of objectively measured sedentary time were associated with good performance in the
sustained attention test. Objectively measured MVPA and sedentary time were not associated with other measures of
cognitive functions. High amount of self-reported computer/video game play was associated with weaker performance in
working memory test, whereas high amount of computer use was associated with weaker performance in test measuring
shifting and flexibility of attention. Self-reported physical activity and total screen time were not associated with any
measures of cognitive functions. The results of the present study propose that physical activity may benefit attentional
processes. However, excessive video game play and computer use may have unfavorable influence on cognitive functions.peerReviewe
Physical activity, sedentary behavior, and academic performance in Finnish children
Purpose: This study aimed to determine the relationships between objectively measured and self-reported physical activity, sedentary behavior, and academic performance in Finnish children.
Methods: Two hundred and seventy-seven children from five schools in the Jyväskylä school district in Finland (58% of the 475 eligible students, mean age = 12.2 yr, 56% girls) participated in the study in the spring of 2011. Self-reported physical activity and screen time were evaluated with questions used in the WHO Health Behavior in School-Aged Children study. Children’s physical activity and sedentary time were measured objectively by using an ActiGraph GT1M/GT3X accelerometer for seven consecutive days. A cutoff value of 2296 counts per minute was used for moderate-to-vigorous physical activity (MVPA) and 100 counts per minute for sedentary time. Grade point averages were provided by the education services of the city of Jyväskylä. ANOVA and linear regression analysis were used to analyze the relationships among physical activity, sedentary behavior, and academic performance.
RESULTS: Objectively measured MVPA (P = 0.955) and sedentary time (P = 0.285) were not associated with grade point average. However, self-reported MVPA had an inverse U-shaped curvilinear association with grade point average (P = 0.001), and screen time had a linear negative association with grade point average (P = 0.002), after adjusting for sex, children’s learning difficulties, highest level of parental education, and amount of sleep.
Conclusions: In this study, self-reported physical activity was directly, and screen time inversely, associated with academic achievement. Objectively measured physical activity and sedentary time were not associated with academic achievement. Objective and subjective measures may reflect different constructs and contexts of physical activity and sedentary behavior in association with academic outcomes.peerReviewe
Sample characteristics according to gender and overall participants.
<p>Abbreviations: SD, standard deviation; MVPA, moderate to vigorous physical activity; PRM, Pattern Recognition Memory; SSP, Spatial Span; RTI, Reaction Time; RVP, Rapid Visual Information Processing; IED, Intra-Extra Dimensional Set Shift.</p>a<p>P-values for the gender differences (T-test).</p>b<p>A’ indicates the result in RVP test. The scale is 0.00–1.00, whereas 0.00 indicates a poor result and 1.00 a good result.</p>c<p>MVPA measured with the ActiGraph accelerometer using a cut-off value of 2,296 counts per minute.</p>d<p>Sedentary time measured by the ActiGraph accelerometer using a cut-off value 100 counts per minute and expressed as percentage of daily monitoring time (%/day).</p
Summary of the CANTAB tests used to measure different dimensions of cognitive function.
<p>Summary of the CANTAB tests used to measure different dimensions of cognitive function.</p
Physical activity and obesity mediate the association between childhood motor function and adolescents' academic achievement
The global epidemic of obesity and physical inactivity may have detrimental implications for young people’s cognitive function and academic achievement. This prospective study investigated whether childhood motor function predicts later academic achievement via physical activity, fitness, and obesity. The study sample included 8,061 children from the Northern Finland Birth Cohort 1986, which contains data about parent-reported motor function at age 8 y and self-reported physical activity, predicted cardiorespiratory fitness (cycle ergometer test), obesity (body weight and height), and academic achievement (grades) at age 16 y. Structural equation models with unstandardized (B) and standardized (β) coefficients were used to test whether, and to what extent, physical activity, cardiorespiratory fitness, and obesity at age 16 mediated the association between childhood motor function and adolescents’ academic achievement. Physical activity was associated with a higher grade-point average, and obesity was associated with a lower grade-point average in adolescence. Furthermore, compromised motor function in childhood had a negative indirect effect on adolescents’ academic achievement via physical inactivity (B = –0.023, 95% confidence interval = –0.031, –0.015) and obesity (B = –0.025, 95% confidence interval = –0.039, –0.011), but not via cardiorespiratory fitness. These results suggest that physical activity and obesity may mediate the association between childhood motor function and adolescents’ academic achievement. Compromised motor function in childhood may represent an important factor driving the effects of obesity and physical inactivity on academic underachievement
Objectively measured sedentary time and performance in sustained attention test.
<p>This figure presents the estimation results of the model for the associations of objectively measured MVPA, sedentary time (SED) and the Rapid Visual Information Processing (RVP) test. Standardized parameter estimates and standard errors are presented. The RVP (multiplied by 10) of the three blocks of the test (RVP 1, RVP 2, RVP 3) were used as indicator variables in the structural equation modeling. The scale for the RVP test result (A’) is 0.00–1.00, where 0.00 indicates a poor result and 1.00 a good result. Confounding factors, gender (female), the highest level of parental education (tertiary level) and child’s need for remedial education (yes) were taken into account. Highly correlated objectively measured MVPA and sedentary time were added to the model as latent variables.</p