Temperament and Physical Activity in Childhood

2017 ◽  
Vol 14 (11) ◽  
pp. 837-844 ◽  
Author(s):  
MinKyoung Song ◽  
Robert F. Corwyn ◽  
Robert H. Bradley ◽  
Julie C. Lumeng
Keyword(s):  
Physical Activity ◽  
Youth Development ◽  
Parental Support ◽  
Activity Level ◽  
Childhood And Adolescence ◽  
Early Child Care ◽  
Intensity Physical Activity ◽  
Parent Characteristics ◽  
Vigorous Intensity ◽  
Over Time

Background:Temperament activity level can serve as a proxy for nondeliberate activity and an important part of overall energy expenditure. However, little is known about any association between temperament activity level and children’s levels of moderate- to vigorous-intensity physical activity. We examined whether temperament activity level in young children is associated with moderate- to vigorous-intensity physical activity later in childhood and midadolescence. We also assessed if parenting behaviors moderate any association.Methods:Data were obtained from 799 children and their mothers involved in the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development. Growth curve analyses were used to examine the relationships over time, controlling for child and parent characteristics.Results:High temperament activity level at age 4.5 was associated with higher moderate- to vigorous-intensity physical activity at age 9 (β = 5.15; SE =2.47;P < .001). The association became no longer significant after 10.2 years of age. The association was moderated by parental support for physical activity (β = −2.56; SE = 1.01;P = .01).Conclusions:Low temperament activity level in early childhood was a risk factor for low physical activity in later childhood and adolescence. Parental support for physical activity may be beneficial for children whose temperament activity level is low.

PHYSICAL ACTIVITY LEVEL OF FIRSTYEAR STUDENTS FROM JOZEF PILSUDSKI UNIVERSITY OF PHYSICAL EDUCATION IN WARSAW

2016 ◽  
Vol 26 (76) ◽  
pp. 61-70
Author(s):  
Karol Gryko ◽  
Krzysztof Perkowski ◽  
Anna Kopiczko ◽  
Damian Włoch
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
International Physical Activity Questionnaire ◽  
Activity Level ◽  
First Year ◽  
First Year Students ◽  
Physical Activity Questionnaire ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Activity Questionnaire

Aim: The aim of the study was to evaluate the level of declared physical activity of first-year students from Jozef Pilsudski University of Physical Education in Warsaw by using the International Physical Activity Questionnaire (IPAQ). The paper presents physical activity according to the students’ chosen degree course and sex. The study also analyzes physical activity in relation to the BMI index according to the classification by the World Health Organization (WHO). Basic procedures: The group of participants comprised 190 Physical Education (n = 115) and Sports (n = 75) students. The study was conducted in November 2015 and used the short version of the International Physical Activity Questionnaire. Main findings: The results of the present study showed that the physical education students were characterized by a higher level of physical activity in each discussed type of physical activity than their peers studying sports. The study also revealed that the women showed greater physical activity than the men. It was only in vigorous-intensity physical activity that the men obtained higher results than the women. Conclusions: The male first-year students of the University of Physical Education in Warsaw prefer vigorous-intensity physical activity, and the female students prefer both moderate-intensity activities and walking. With the development of sports infrastructure and the growing number of sports services, women have become more physically active and achieve results rivaling, or at times, surpassing the results obtained by men.

Influence of Movement Intensity and Physical Activity on Adiposity in Youth

2011 ◽  
Vol 8 (2) ◽  
pp. 164-173 ◽  
Author(s):  
Amy E. Mark ◽  
Ian Janssen
Keyword(s):  
Physical Activity ◽  
Activity Level ◽  
Physical Activity Intensity ◽  
Physically Active ◽  
Activity Intensity ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Total Fat ◽  
Total Body ◽  
Percentile Scores

Background:Despite the plethora of research examining the physical activity-adiposity relation in youth, questions remain regarding the ideal intensity. Therefore, the purpose of this study was to explore the independent effects of physical activity intensity and incidental movement on total and trunk adiposity.Methods:The sample consisted of 1165 youth aged 8 to 17 years from the 2003−04 U.S. National Health and Nutrition Examination Survey. Physical activity (low, moderate, vigorous intensity) and incidental movement (activity level when not physically active) were measured using Actigraph accelerometers over 7 days. Total body and trunk fat were measured using dual-energy X-ray absorptiometry; age- and sex-specific percentile scores were calculated.Results:Bivariate analyses revealed an inverse relation between total, low, moderate and vigorous intensity physical activity with total body and trunk fat. After consideration of the total volume of physical activity in the multivariate analyses, moderate-to-vigorous intensity physical activity remained significantly related to total and trunk fat. Participants with the highest (top 12.5%) moderate-to-vigorous intensity activity values had total fat percentile scores that were 34 points lower than participants with the lowest (bottom 25%) values.Conclusion:These results are consistent with public health guidelines which recommend that children and youth participate in moderate-to-vigorous intensity physical activity.

Longitudinal physical activity assessment in post-surgical gynecologic cancer patients.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21582-e21582 ◽  
Author(s):  
Jessica Gorzelitz-Liebhauser ◽  
Erin S. Costanzo ◽  
Ryan J. Spencer ◽  
Meredith E. Rumble ◽  
Stephen L. Rose ◽  
...  
Keyword(s):  
Physical Activity ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Vigorous Physical Activity ◽  
Gynecologic Cancer ◽  
Moderate Intensity ◽  
Self Rated Health ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Over Time

e21582 Background: Physical activity is a key determinant of health, and exercise can be effective for decreasing anxiety and depression and improving quality of life in cancer survivors. The primary aim of this study was to report the trajectory of physical activity over time for post-operative gynecologic cancer patients. The secondary aim was to identify correlates of total physical activity over time. Methods: The study population included patients who underwent surgery for endometrial (n = 80) or ovarian (n = 43) cancer and wore an accelerometer for a 3-day period at 1 week, 1 month and 4 months after surgery. Accelerometer data were captured during all waking hours and were transformed into categories of light, moderate and vigorous intensity physical activity. The outcome of interest was total minutes of moderate to vigorous intensity physical activity (MVPA) collected over the three day period at each time point, analyzed using a linear mixed effect model approach, assessing the correlates of age, body mass index (BMI), self-rated health, laparotomy vs. laparoscopic (endometrial only) and neoadjuvant chemotherapy yes/no (ovarian only). Results: Mean age was 58.8 ± 10.1 years with mean BMI of 35.5±10.3 kg/m2. Over each three-day period, patients performed 7 ± 12 minutes of total accumulated MVPA at 1 week, 20 ± 41 minutes of total MVPA at 1 month, and 25 ± 36 minutes at 4-months post-surgery (p = 0.01). Federal guidelines recommend approximately 70 minutes of moderate intensity activity over a three-day period to collect 150 minutes of moderate activity a week. Better self-rated health at baseline was associated with increased activity over time (p = 0.02). BMI, age, type of surgery or use of neoadjuvant chemotherapy did not predict physical activity in patients of either disease site. Conclusions: Physical activity increased over time for endometrial and ovarian cancer patients. Self-reported health at baseline was also positively associated with increased moderate-vigorous physical activity over time. There is insufficient evidence to show that BMI significantly contributes to changes in moderate-to-vigorous physical activity over time. Future research should address barriers to activity and novel interventions.

Meta-Analysis of Physical Activity Levels in Youth With and Without Disabilities

2018 ◽  
Vol 35 (4) ◽  
pp. 381-402 ◽  
Author(s):  
Jaehun Jung ◽  
Willie Leung ◽  
Bridgette Marie Schram ◽  
Joonkoo Yun
Keyword(s):  
Physical Activity ◽  
Meta Analysis ◽  
Activity Level ◽  
Activity Levels ◽  
Random Effects Model ◽  
Q Value ◽  
Youth With Disabilities ◽  
Physical Activity Levels ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

The purpose of this study was to explore the current levels of physical activity among youth with disabilities using meta-analysis. The search identified 11 publications including 729 participants (age 4–20 yr). The overall effect size for 11 studies was Hedges g = 0.60 (SE = 0.18, 95% confidence interval [CI] [0.24, 0.96], p < .05, k = 11) using a random-effects model. The findings suggest that differences in physical activity levels between youth with and without disabilities are complex. Results indicated that youth without disabilities engaged in higher levels of physical activity of moderate to vigorous intensity (g = 0.66, SE = 0.18, p < .05). However, no differences were found in light-intensity physical activity (g = −0.03, SE = 0.16, p > .85). Results also suggested that the differences in physical activity between youth with and without disabilities were affected by age (<12 yr, g = 0.83, SE = 0.24, 95% CI [0.37, 1.29], p < .05, and >13 yr, g = 0.37, SE = 0.10, 95% CI [0.18, 0.57], p < .05; Q value = 3.20, df = 1, p < .05), with children with disabilities engaging in less physical activity than children without disabilities in younger ages. Differences in physical activity level between youth with and without disabilities are functions of intensity of physical activity and age but may not be of type of disability (Q value = 0.22, df = 1, p > .6).

The Musician as (In)Active Athlete? Exploring the Association Between Physical Activity and Musculoskeletal Complaints in Music Students

2015 ◽  
Vol 30 (4) ◽  
pp. 231-237 ◽  
Author(s):  
Vera AE Baadjou ◽  
Jeanine AMCF Verbunt ◽  
Marjon DF van Eijsden-Besseling ◽  
Stephanie MD Huysmans ◽  
Rob JEM Smeets
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Moderate Intensity ◽  
Music Students ◽  
Musculoskeletal Complaints ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

OBJECTIVE: Musicians are often compared to athletes because of the physical exertion required to play music. The aim of this study was to explore the physical activity level of music students and to study its relationship with musculoskeletal complaints. A second goal was to assess associations between physical activity and pain, quality of life, and disability. METHODS: This cross-sectional study among third- and fourth-year music students used an electronic survey including measures for physical activity (SQUASH—Short Questionnaire to Assess Health-enhancing physical activity), musculoskeletal complaints (DMQ—Dutch Musculoskeletal Questionnaire), disability (DASH—Disability Arm, Shoulder, Hand questionnaire) and quality of life (Short Form-12). Students were classified as compliers or non-compliers with moderate- and vigorous-intensity physical activity recommendations. Statistical analysis was done using (non)parametric tests (t-test, Pearson chi-square test, Mann-Whitney U-test) and correlational testing. RESULTS: Participants were 132 students, 63.6% female, with a median age of 23 yrs (range 21.3–25.0). 67% reported musculoskeletal complaints in the past 7 days. Their median physical activity level was 6,390 MET-min/wk, and 62% and 10% of the students accomplished recommendations for moderate-intensity and vigorous-intensity physical activity levels, respectively. No significant differences were found in prevalence of musculoskeletal complaints between students who met moderate- or vigorous-intensity physical activity recommendations and students who did not. Physical activity level was not associated with musculoskeletal complaints (r=0.12, p=0.26). Higher pain intensity was associated with a lower quality of life (r=–0.53 p<0.01) and higher disability (r=0.43, p<0.01). CONCLUSIONS: Music students are mainly involved in light- to moderate-intensity physical activities and rarely in vigorous-intensity activities. No correlation was found between physical activity level in the past months and musculoskeletal complaints in music students.

scholarly journals Moderate-To-Vigorous Intensity Physical Activity and Sedentary Behaviour across Childhood and Adolescence, and Their Combined Relationship with Obesity Risk: A Multi-Trajectory Analysis

2021 ◽  
Vol 18 (14) ◽  
pp. 7421
Author(s):  
Abdulaziz Farooq ◽  
Laura Basterfield ◽  
Ashley J. Adamson ◽  
Mark S. Pearce ◽  
Adrienne R. Hughes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Predictor Variable ◽  
Bioelectrical Impedance ◽  
Outcome Variable ◽  
Childhood And Adolescence ◽  
Obesity Risk ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

The combined role of objectively assessed moderate-vigorous intensity physical activity (MVPA) and sedentary behaviour (SB) is unclear in obesity prevention. This study aimed to identify latent groups for MVPA and SB trajectories from childhood to adolescence and examine their relationship with obesity risk at adolescence. From the Gateshead Millennium Study, accelerometer-based trajectories of time spent in MVPA and SB at ages 7, 9, 12, and 15 were derived as assigned as the predictor variable. Fat mass index (FMI), using bioelectrical impedance at age 15, was the outcome variable. From 672 children recruited, we identified three distinct multiple trajectory groups for time spent in MVPA and SB. The group with majority membership (54% of the cohort) had high MVPA and low SB at childhood, but MVPA declined and SB increased by age 15. One third of the cohort (31%) belonged to the trajectory with low MVPA and high time spent sedentary throughout. The third trajectory group (15% of the cohort) that had relatively high MVPA and relatively low SB throughout had lower FMI (−1.7, 95% CI (−3.4 to −1.0) kg/m2, p = 0.034) at age 15 compared to the inactive throughout group. High MVPA and low SB trajectories when combined are protective against obesity.

scholarly journals A Longitudinal Study of the Associations of Family Structure with Physical Activity across the Week in Boys and Girls

2019 ◽  
Vol 16 (20) ◽  
pp. 4050
Author(s):  
Emma Solomon-Moore ◽  
Ruth Salway ◽  
Lydia G. Emm-Collison ◽  
Simon J. Sebire ◽  
Janice L. Thompson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Family Structure ◽  
Regression Models ◽  
Multilevel Models ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Interaction Terms ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Over Time

The aim of this study was to examine how family structure is associated with moderate-to-vigorous-intensity physical activity (MVPA) for children aged between 6 and 11. At 6, 9 and 11 years, children wore an accelerometer and parents/carers completed questionnaires on demographics and family structure. Linear regression models examined cross-sectional associations between family structure and MVPA at age 9 and 11. Linear multilevel models examined longitudinal associations between age 6 and 11, differences in change over time were examined using interaction terms. No associations between exposures and MVPA were evident at age 9. Compared to boys living in one home, eleven-year-old boys who lived in multiple homes performed 15.99 (2.46–29.52) fewer minutes of MVPA on weekend days. In longitudinal analyses, the evidence was unclear whether the association with family structure changed over time. Models that assumed associations with family structure remained constant over time, found that boys who lived in multiple homes performed 11.02 (0.76–21.28) fewer minutes of MVPA per weekend day, while for each additional sibling, girls performed an extra 1.89 (0.25–3.53) minutes of MVPA per weekend day. Findings indicate a small number of associations, varying in magnitude, between family structure and children’s MVPA. Therefore, families of all structures should be supported to help their children meet MVPA recommendations.

Metabolic and lifestyle determinants of glycemic variability in persons at high risk of type 2 diabetes: a study with continuous monitoring of diet, physical activity, and glucose level. (Preprint)

2021 ◽  
Author(s):  
Su Hyun Park ◽  
Jiali Yao ◽  
Clare Whitton ◽  
Xin Hui Chua ◽  
Suresh Rama Chandran ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Risk ◽  
Glycemic Variability ◽  
Tolerance Test ◽  
Glucose Levels ◽  
Intensity Physical Activity ◽  
Time In Range ◽  
Vigorous Intensity ◽  
Mean Glucose

BACKGROUND Frequent and large fluctuations in blood glucose concentration during the day may increase risk of type 2 diabetes. It remains unclear how diet and physical activity affect glycemic variability in real-world conditions in persons without diabetes. OBJECTIVE We examined metabolic and lifestyle determinants (diet, physical activity, and sleep) of blood glucose levels over a seven-day period in people at high risk for diabetes METHODS Twenty-eight participants with a mean age of 46.0 (SD 9.9) years and a mean body mass index (BMI) of 27.5 (SD 1.8) kg/m2 underwent a mixed meal tolerance test to assess glucose homeostasis at baseline. Subsequently, they wore an accelerometer to assess movement behaviors, recorded their dietary intakes through a mobile phone application, and wore a flash glucose monitoring device that measured glucose levels every 15 min for seven days. Generalized estimating equation models were used to assess the associations of metabolic and lifestyle risk factors with daily mean glucose levels (mmol/L), the coefficient of variation (CV%) of glucose levels, and time-in-range (3.0 to 7.8 mmol/L, %). RESULTS A higher BMI (β = 0.12 per kg/m2; P = 0.01), body fat (β = 0.03 per kg; P = 0.01), and selected markers of hyperglycemia and insulin resistance from the meal tolerance test were associated with higher mean glucose levels during the seven days. Moderate-to-vigorous intensity physical activity (β = -1.77 per hr./d, P = 0.008) and polyunsaturated fat intake (β = -2.23 per 5 energy %, P < 0.001) were independently associated with less variation in glucose levels (CV%). Higher protein (β = 0.90, P = 0.007) and polyunsaturated fatty acid (β = 3.21, P = 0.02) intakes were associated with more time-in-range. In contrast, higher carbohydrates intake was associated with less time-in-range (β = -0.59, P = 0.04). Sleep, sedentary behavior, or light intensity physical activity were not independently associated with glucose measures. CONCLUSIONS Body fatness was associated with higher mean glucose levels, and moderate-to-vigorous intensity physical activity was associated with less glycemic variability throughout a week. Diets with higher protein and polyunsaturated fat, and lower carbohydrates were associated with more time in normal glucose range. Physical activity and dietary composition can substantially influence glucose variation in people at high risk of diabetes.

Sign in / Sign up

Export Citation Format

Share Document