scholarly journals Treningsmotivasjon og fysisk aktivitet blant unge:

2012 ◽  
Vol 8 (2) ◽  
pp. 45
Author(s):  
Camilla Arntsen ◽  
Therese Kobbeltvedt
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Physical Exercise ◽  
Body Mass ◽  
Perceived Health ◽  
Font Size ◽  
Health Motivation ◽  
Physically Active ◽  
The One

<p class="Toverskrift3" style="margin: 0cm 0cm 0pt;"><span style="mso-ansi-language: EN-US;" lang="EN-US"><strong><span style="font-size: large;"><span style="font-family: Times New Roman;">Motivation for physical activity and amount of physical activity amongst adolescents: What differences exist between active and inactive groups of Norwegian adolescents with reference to demography, Body Mass Index (BMI), subjectively perceived health, motivation for physical exercise, and initiative?</span></span></strong></span></p><p class="Toverskrift3" style="margin: 0cm 0cm 6pt;"><span style="mso-ansi-language: EN-US;" lang="EN-US"><strong><span style="font-size: large;"><span style="font-family: Times New Roman;">Abstract</span></span></strong></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0pt;"><span style="font-size: small;"><span style="font-family: Times New Roman;"><em style="mso-bidi-font-style: normal;"><span style="mso-ansi-language: EN-US;" lang="EN-US">This study is based on the Norwegian data from the HEVAS (Helsevaner blant barn og unge) WHO-survey. We investigated: What differences exist between active and inactive groups of individuals with reference to demography, Body Mass Index (BMI), subjectively perceived health, motivation for physical exercise, and initiative? Compared to inactive individuals, physically active individuals reported higher socioeconomic status, lower BMI, better subjectively perceived health. The active individuals report more health motivation than the inactive individuals. Of all the factors included in this study, initiative was the one differentiating the groups. Active individuals report more initiative than inactive individuals</span></em><span style="mso-ansi-language: EN-US;" lang="EN-US">. </span></span></span></p>

scholarly journals Effects of Body Mass Index (BMI), demographic and socioeconomic factors on organized physical activity (OPA) participation in children aged 6-15 years: a cross-sectional study comparing primary and secondary school children in Greece

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Vilelmine Carayanni ◽  
Elpis Vlachopadopoulou ◽  
Dimitra Koutsouki ◽  
Gregory C. Bogdanis ◽  
Theodora Psaltopoulou ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Secondary School ◽  
Socioeconomic Factors ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Primary And Secondary School

Abstract Background The aim of the present study was to examine the influence of body mass index category, as well as of demographic and socioeconomic factors on the participation in organized physical activity (OPA) of schoolchildren attending primary and secondary school in Greece. Furthermore, to compare the difference between the two levels. Methods This is a cross-sectional study conducted on a representative elementary and secondary school cohort, derived using stratification and probability proportional to size (PPS) methodology. The final sample included 18,264 subjects, aged 6 to 15 years. Parents of all students and students of secondary schools fulfilled validated questionnaires evaluating socioeconomic status, and participation to OPA. International Obesity Task Force (IOTF) cut offs were used to classify the children. Univariate and multivariate logistic models examined factors associated with OPA. All analyses were stratified by school level. Results Sport participation was not reported in 37.7 and 54.4% of primary and secondary schoolchildren respectively. Having BMI within normal range, being male, having parents participating in an organized activity and a high socio-economic status seem to encourage participation in OPA in both school levels. Conclusions Children with normal BMI are more likely to participate in OPA. Parents as role model as well as higher socioeconomic status of the family emerge as important influencers. Participation in OPA declines as students enter secondary school. Interventions focusing on increasing physical education and activity into school daily program should be tailored to the specific needs of different weight categories and can possibly eliminate the impact of SES inequalities.

scholarly journals Effect of obesity-linked FTO rs9939609 variant on physical activity and dietary patterns in physically active men and women

2016 ◽  
Author(s):  
Nathan R. West ◽  
James Dorling ◽  
Alice E. Thackray ◽  
Samantha E. Decombel ◽  
David J. Stensel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Risk Allele ◽  
Height Ratio ◽  
Physically Active ◽  
Men And Women ◽  
Cognitive Restraint ◽  
Risk Variants ◽  
Waist To Height Ratio

AbstractObjectiveTo examine physical activity and dietary patterns in physically active individuals carrying different risk variants of the fat mass and obesity-associated gene (FTO) rs9939609 single nucleotide polymorphism (SNP).MethodsA total of 528 white men and women (mean (SD): 34.9(9.5) years, 26.6(4.3) kg·m-2) were genotyped for FTO rs9939609 SNP. Sex, age and anthropometric measurements (stature, body mass, waist circumference) were self-reported using an online questionnaire, and body mass index and waist-to-height ratio were calculated. Physical activity level and eating behaviour were assessed using the International Physical Activity Questionnaire and Three-Factor Eating Questionnaire (TFEQ), respectively.ResultsBody mass, body mass index, waist circumference and waist-to-height ratio were not significantly different between individuals carrying different FTO rs9939609 risk variants (all P≥0.66). The cohort was physically active (4516(3043) total MET min·week-1), although risk allele carriers (AT/AA) reported higher total physical activity (effect size = 0.22, p=0.03), and homozygous risk allele carriers (AA) displayed higher TFEQ cognitive restraint (effect size = 0.33, p=0.03) compared with non-risk allele carriers (TT).ConclusionsObesity-related parameters were not different in physically active individuals carrying different risk variants of FTO rs9939609, but higher physical activity and cognitive restraint in risk allele carriers may reduce genetic predisposition to weight gain.

scholarly journals Physical activity, but not body mass index, predicts less disability before and after stroke

Neurology ◽  
2017 ◽  
Vol 88 (18) ◽  
pp. 1718-1726 ◽  
Author(s):  
Pamela M. Rist ◽  
Benjamin D. Capistrant ◽  
Elizabeth Rose Mayeda ◽  
Sze Y. Liu ◽  
M. Maria Glymour
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Risk Difference ◽  
Normal Weight ◽  
Lower Probability ◽  
Stroke Survivors ◽  
Linear Regression Models ◽  
Physically Active ◽  
Before And After

Objective:To determine whether physical activity and body mass index (BMI) predict instrumental or basic activities of daily living (I/ADL) trajectories before or after stroke compared to individuals who remained stroke-free.Methods:Using a prospective cohort, the Health and Retirement Study, we followed adults without a history of stroke in 1998 (n = 18,117) for up to 14 years. We estimated linear regression models of I/ADL trajectories comparing individuals who remained stroke-free throughout follow-up (n = 16,264), those who survived stroke (n = 1,374), and those who died after stroke and before the next interview wave (n = 479). We evaluated whether I/ADL trajectories differed by physical activity or BMI at baseline (before stroke), adjusting for demographic and socioeconomic covariates.Results:Compared to those who were physically active, stroke survivors who were physically inactive at baseline had a lower probability of independence in ADLs and IADLs 3 years after stroke (risk difference = −0.18 and −0.16 for ADLs and IADLs, respectively). However, a similar difference in the probability of independence was also present 3 years before stroke, and we observed no evidence that physical activity slowed the rate of decline in independence before or after stroke. Unlike the results for physical activity, we did not observe a consistent pattern for the probability of independence in ADLs or IADLs comparing obese stroke survivors to normal-weight or to overweight stroke survivors 3 years before stroke or 3 years after stroke.Conclusions:Physical inactivity predicts a higher risk of being dependent both before and after stroke.

Better health indicators of FitSpirit participants meeting 24-h movement guidelines for Canadian children and youth

2020 ◽  
Author(s):  
Roseane de Fátima Guimarães ◽  
Jo-Anne Gilbert ◽  
Jean Lemoyne ◽  
Marie-Eve Mathieu
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Self Efficacy ◽  
Screen Time ◽  
Vigorous Physical Activity ◽  
Health Indicators ◽  
Perceived Health ◽  
Online Questionnaire ◽  
Cross Sectional

Summary This study aims to determine the proportion of girls who meet the recommendations for moderate-to-vigorous physical activity (MVPA), screen time and sleep duration among FitSpirit participants and evaluate the associations of these recommendations with perceived health-related quality of life (QOL), perceived health, physical activity (PA), self-efficacy and body mass index. Cross-sectional analyses of FitSpirit data were performed. All variables were collected through an online questionnaire. The proportion of girls meeting all recommendations was 2.2%, while 72.5% met either one or two and 25.4% met none. A greater percentage of girls with ≥3 years in FitSpirit met MVPA and sleep recommendations combined when compared with fewer years (12.9% vs. 1.7% with 1 year; vs. 10.1% with 2 years; p &lt; 0.05). Meeting the combinations of MVPA and screen time (β = 0.19, 95% CI = 0.40, 1.68), MVPA and sleep (β = 0.20, 95% CI = 0.27, 1.04) and all three combined (β = 0.17, 95% CI = 0.33, 1.71) was the most significant predictors of better perceived QOL. Respecting MVPA recommendations predicted a better perceived health (β = 0.18, 95% CI = 0.18, 0.87) while girls who slept as recommended had a better PA-related self-efficacy (β = 0.23, 95% CI = 0.51, 2.11). Not meeting any recommendation was associated with inferior PA-related self-efficacy (β = −0.32, 95% CI = −3.03, −1.21). Lastly, meeting MVPA and sleep recommendations was significantly associated with lower body mass index z-scores (β = −0.14, 95% CI = −1.16, −0.11). There was a small percentage of girls following all of the recommendations. Furthermore, meeting individual and combined recommendations was associated with better perceived QOL and health, PA self-efficacy as well as healthier body mass index z-score.

Learning “Math on the Move”: Effectiveness of a Combined Numeracy and Physical Activity Program for Primary School Children

2018 ◽  
Vol 15 (7) ◽  
pp. 492-498 ◽  
Author(s):  
Melanie Vetter ◽  
Helen O’Connor ◽  
Nicholas O’Dwyer ◽  
Rhonda Orr
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Active Learning ◽  
Primary School ◽  
Body Mass ◽  
Aerobic Fitness ◽  
Primary School Children ◽  
School Students ◽  
Vigorous Exercise ◽  
Physically Active

Background: Physically active learning that combines physical activity with core curriculum areas is emerging in school-based health interventions. This study investigates the effectiveness of learning an important numeracy skill of times tables (TT) while concurrently engaging in aerobic activity compared with a seated classroom approach. Methods: Grade-4 primary school students were randomly allocated to physical activity (P) or classroom (C) groups and received the alternate condition in the following term. P group received moderate to vigorous exercise (20 min, 3 times per week, 6 wk) while simultaneously learning selected TT. C group received similar learning, but seated. Changes in TT accuracy, general numeracy, aerobic fitness, and body mass index were assessed. Data were expressed as mean (SEM) and between-condition effect size (ES; 95% confidence interval). Results: Participants [N = 85; 55% male, 9.8 (0.3) y, 36.4% overweight/obese] improved similarly on TT in both conditions [C group: 2.2% (1.1%); P group: 2.5% (1.3%); ES = 0.03; −0.30 to 0.36; P = .86]. Improvement in general numeracy was significantly greater for P group than C group [C group: 0.7% (1.2%); P group: 5.3% (1.4%); ES = 0.42; 0.08 to 0.75; P < .03]. An improvement in aerobic fitness for P group (P < .01) was not significantly greater than C group [C group: 0.8 (0.6); P group: 2.2 (0.5) mL·kg·min−1; ES = 0.32; −0.01 to 0.66; P = .06]. Body mass index was unchanged. Conclusion: Combined movement with learning TT was effective. Physically active learning paradigms may contribute to meeting daily physical activity guidelines while supporting or even boosting learning.

scholarly journals Associations between the combined physical activity environment, socioeconomic status, and obesity: a cross-sectional study

2017 ◽  
Vol 138 (3) ◽  
pp. 169-172 ◽  
Author(s):  
M Hobbs ◽  
C Griffiths ◽  
MA Green ◽  
H Jordan ◽  
J Saunders ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Health Study ◽  
Cross Sectional ◽  
Physical Activity Environment ◽  
Individual Level ◽  
Physical Activity Facility ◽  
Physical Activity Environments

Aims: This study investigates associations between the combined physical activity environment and obesity and explores any sub-group effects by individual-level socioeconomic status. Methods: In a large cross-sectional cohort ( n = 22,889) from the Yorkshire Health Study, body mass index was calculated using self-reported height and weight and obesity was defined as a body mass index ≥ 30. The physical activity environment was split into ‘unfavourable physical activity’, ‘moderately favourable physical activity’ and ‘favourable physical activity’ environments. This was based on the count of parks and physical activity facilities within a 2 km radial buffer centred on home addresses. A favourable physical activity environment was defined as having ≥1 physical activity facility and ≥1 park, unfavourable as having no physical activity facility and park and any other combinations defined as moderately favourable. Logistic regression (odds ratios) identified associations with obesity. Results: Relative to ‘unfavourable physical activity environments’, individuals within favourable physical activity environments were less likely to be obese (odds ratio = 0.90; 95% confidence interval = 0.82–0.97), and there was no effect for moderately favourable environment. Furthermore, once stratified by education level, this relationship was only present for those of higher education. Conclusion: Our findings provide novel UK evidence and is one of the first papers internationally that highlights the importance of considering the interplay of individual-level socioeconomic factors when investigating associations between the physical activity environment and obesity.

scholarly journals Adiposity Measures and Menstrual Cycle: Do We Envisage a Relation?

2011 ◽  
Vol 2011 ◽  
pp. 1-5
Author(s):  
Rashmi Sinha ◽  
Anup Kumar Kapoor ◽  
Satwanti Kapoor
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Menstrual Cycle ◽  
Body Mass ◽  
Premenopausal Women ◽  
Impedance Method ◽  
Age At Menarche ◽  
Cycle Duration ◽  
Physically Active ◽  
The Relationship

The study aims to see the relationship between menstrual cycle and adiposity measures in Indian populations as menstrual cycle length has an important bearing on fertility and health of women. 415 premenopausal women in the ages 22–50 years residing in Delhi, India constituted the data. The adiposity was assessed by BMI as well as by using Bio-electric impedance method. The information regarding their physical activity pattern and menstrual cycle was recorded, and age at menarche was obtained through recall method. None of the underweight category women had menstrual cycle of less than 25 days. A decrease in body mass index and an increase in the age at menarche were found with the increase in the duration of menstrual cycle. The majority of women with 25–35 days duration of menstrual cycle in the present study were distributed in all the categories of BMI. Age was found to have no effect on longer cycle. The majority of women were in moderately physically active group and experienced menstrual cycle duration of 25–35 days. It is of utmost importance to identify the effects of moderate levels of physical activity, body mass index, and age at menarche on the menstrual cycle to enable the normal reproductive health of women.

scholarly journals The Influence of Physical Activity on the Quality of Life During Pregnancy

2020 ◽  
Vol 2 (7) ◽  
Author(s):  
Vilma Dudonienė ◽  
Rasa Vaškevičiūtė ◽  
Rolandas Kesminas
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Energy Expenditure ◽  
Body Mass ◽  
Quality Of Sleep ◽  
Physically Active ◽  
Positive Effect

Pregnancy sets new and higher demands for woman’s body. There are changes in almost all functions of organs and systems, and metabolism during pregnancy. These changes are physiological and the body adapts to the new conditions. Many organs and systems start functioning pathologically, and pregnant body starts to react abnormally to various external and internal stimuli. Physical activity (any bodily movement produced by skeletal muscles that requires energy expenditure higher than resting; physical activity is indicatedby the average energy expenditure a day, a week, and is defined by metabolic equivalent (MET) [1]), fully affects and strengthens woman’s body, increases the physiological capacities, activates the work of all systems, and ensures the normal course of pregnancy by improving maternal cardiovascular condition, activating placental blood flow, oxygen transport, improving fetal metabolism. Physical activity has been proved to have positive effect on different systems of human body. The death-rate in pregnant women resulting from hypertension is the second cause after embolism. Preeclampsia is one of the hypertension-related failures which affects 3 to 5% of the pregnant women [2]. The purpose of this study was to evaluate and compare the effect of physical activity on the quality of life (quality of sleep, headache, right side pain, physical and psychological fatigue), blood pressure, and body mass index in physically active and inactive women during 20–35 weeks of pregnancy. It was found that the quality of sleep during 20–25–30–35 weeks of pregnancy was significantly higher and headache and right side pain, as well as, blood pressure, and body mass index were significantly lower in physically active women compared to inactive women. Conclusion. Physical activity during pregnancy had a positive effect on antenatal arterial blood pressure, body mass index and the quality of life during 20–35 weeks of pregnancy.Keywords: pregnancy, physical activity, quality of life, blood pressure, body mass index.

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