Age group differences in attitudes towards exercise, perceived athletic ability, perceived physical attractiveness and participation in physical activity

2007 ◽  
Author(s):  
Spiridon Kamtsios ◽  
Nikolaos Digelidis
Keyword(s):  
Physical Activity ◽  
Physical Attractiveness ◽  
Group Differences ◽  
Age Group ◽  
Athletic Ability

scholarly journals A Biomechanical Re-Examination of Physical Activity Measurement with Accelerometers

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3399 ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Mats Börjesson ◽  
Daniel Arvidsson
Keyword(s):  
Physical Activity ◽  
Motion Capture ◽  
Group Differences ◽  
Band Pass Filter ◽  
Accelerometer Data ◽  
Age Group ◽  
Frequency Filtering ◽  
Frequency Filter ◽  
Step Frequency ◽  
Activity Intensity

ActiGraph is the most common accelerometer in physical activity research, but it has measurement errors due to restrictive frequency filtering. This study investigated biomechanically how different frequency filtering of accelerometer data affects assessment of activity intensity and age-group differences when measuring physical activity. Data from accelerometer at the hip and motion capture system was recorded during treadmill walking and running from 30 subjects in three different age groups: 10, 15, and >20 years old. Acceleration data was processed to ActiGraph counts with original band-pass filter at 1.66 Hz, to counts with wider filter at either 4 or 10 Hz, and to unfiltered acceleration according to “Euclidian norm minus one” (ENMO). Internal and external power, step frequency, and vertical displacement of center of mass (VD) were estimated from the motion capture data. Widening the frequency filter improved the relationship between higher locomotion speed and counts. It also removed age-group differences and decreased within-group variation. While ActiGraph counts were almost exclusively explained by VD, the counts from the 10 Hz filter were explained by VD and step frequency to an equal degree. In conclusion, a wider frequency filter improves assessment of physical activity intensity by more accurately capturing individual gait patterns.

scholarly journals Age and Physical Activity among Canadian Women and Men: Findings from Longitudinal National Survey Data

2000 ◽  
Vol 8 (1) ◽  
pp. 1-19 ◽  
Author(s):  
James Curtis ◽  
Philip White ◽  
Barry McPherson
Keyword(s):  
Physical Activity ◽  
Inverse Relationship ◽  
Leisure Time ◽  
Age Groups ◽  
Group Differences ◽  
Activity Levels ◽  
Age Group ◽  
Activity Involvement ◽  
Age Cohorts ◽  
Age Cohort

This study reports on age-group differences in leisure-time sport and physical activity involvement among a large sample of Canadians interviewed at 2 points during the 1980s. Comparisons are made for 5 age cohorts, for men and women, and without and with multivariate controls. The results contradict the usual finding of an inverse relationship between age and level of physical activity. On measures of (a) activity necessary to produce health benefits and (b) energy expenditure. Canadians over 65 were as active as, or more active than, their younger counterparts, and their activities did not decline over the 7 years between interviews. The extent of change varied by age and across women and men. Among women, increases in involvement were greatest in the middle-aged. Among men, the greatest increase was in the oldest age groups. For both genders, the youngest age cohort showed the smallest change over time, and there was evidence of slight declines in activity levels among young men.

WEEKDAY VERSUS WEEKEND PHYSICAL ACTIVITY PATTERNS IN YOUTH: GENDER AND AGE GROUP DIFFERENCES.

1998 ◽  
Vol 30 (Supplement) ◽  
pp. 203 ◽  
Author(s):  
S. G. Trost ◽  
R. R. Pate ◽  
P. S. Freedson ◽  
J. Sirard ◽  
M. Dowda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Activity Patterns ◽  
Group Differences ◽  
Age Group ◽  
Physical Activity Patterns ◽  
Gender And Age

SWIMMING POOL USERS AND URINATION

2018 ◽  
Vol 28 (2) ◽  
pp. 709-716
Author(s):  
Slavica Ostojić Krsmanović ◽  
Ljiljana Crnčević Radović
Keyword(s):  
Physical Activity ◽  
Swimming Pool ◽  
World Health ◽  
Health Improvement ◽  
Sports Facilities ◽  
Age Group ◽  
Pool Water ◽  
Group 12 ◽  
Hygiene Measures ◽  
Hygienic Measure

The modern way of life means a quick pace that carries a tremendous amount of stress, irregular diet and lack of physical activity, which poses a health risk. For this reason, the World Health Organization recommends physical activity of at least 30 minutes a day which can be, among others, achieved using the pool. Only safe swimming pool water can provide users with all the benefits of its use, which will lead to overall health improvement. Although microbiological hazards pose the greatest danger to the health, chemical risks, as a result of unhygienic user behavior, should not be neglected since they can lead to a reduced effect of disinfection. The presence of urine in the pool water leads to a chemical reaction between nitrogen compounds from the urine and chlorine-based disinfectant, which creates chloramines which are the prerequisite for the occurrence of by-products of disinfection. As a result of their presence, the pool users may experience irritation of respiratory tract, skin and eyes. Our study was designed to determine the presence of urination during the use of the pool and examine the regularity of using the toilet before entering the pool. The survey was conducted on 1,506 respondents, divided into two age groups. In the age group of 12 to 15 years there were 380 respondents and in the age group of 18 to 25 years, 1,126 participants. Data of our study show that 27.0% of respondents had at least one episode of urination inside the pool. At least one episode of urination inside the pool had nearly one third of respondents aged 12 to 15 years (30.2%) and every fourth respondent in age group 18 to 25 years (25.9%). Of the total number of respondents in our research, 59.5% considered that the use of the toilet before entering the pool is very important hygienic measure. Hygienic significance of this measure identified 41.5% of the respondents in age group 12 to 15 years and 65.7% of respondents aged 18 to 25 years. In relation to the regularity of use, the results of our survey show that 50.5% of respondents, or half of our respondents, regularly use the toilet before entering the pool. In the age group 12 to 15 years hygienic measure regularly applied 35.7% of respondents. A significantly higher percentage of regular use of this hygienic measure, but still not sufficiently high, was recorded in the age group of 18 to 25 years (55.5%). The results of our study lead to conclusion that urination inside the pool is present as a form of unhygienic behavior of pool users, which represents a public health problem. Since the younger age group, from 12 to 15 years, showed a higher degree of risk-taking behavior, fundamental and continuous education on the importance of implementation of hygiene measures when using the pool is necessary. Code of conduct in the context of sports facilities, which include the swimming pools, should start since an early age. Learning about forms of behavior in public places and public sports facilities begins in the family and later continues throughout schooling. Health education is a part of the general culture of every individual, regardless of gender, age, education and standard.

scholarly journals POS1309 PREVALENCE AND CORRELATES OF UNDERWEIGHT, OVERWEIGHT AND OBESITY AMONG PATIENTS WITH JUVENILE IDIOPATHIC ARTHRITIS (JIA): EVIDENCE FROM THE NATIONAL PAEDIATRIC RHEUMATOLOGIC DATABASE (NPRD)

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 936.2-937
Author(s):  
F. Milatz ◽  
J. Klotsche ◽  
M. Niewerth ◽  
J. Hörstermann ◽  
D. Windschall ◽  
...  
Keyword(s):  
Physical Activity ◽  
Juvenile Idiopathic Arthritis ◽  
General Population ◽  
Children And Adolescents ◽  
Treatment Response ◽  
Weight Status ◽  
Overweight And Obesity ◽  
Age Group ◽  
Group 3 ◽  
Obesity In Children

Background:In patients with JIA, growth impairment and variance in body composition are well-known long-term complications that may be associated with prolonged drug therapy (e.g. glucocorticoids) as well as impaired physical and psychosocial well-being. An increased accumulation of body fat represents a significant risk factor for metabolic abnormalities and a modifiable variable for a number of comorbidities. Recently, evidence has emerged in favour of the potential negative influence of overweight on the course of the disease and treatment response [1].Objectives:The study aimed a) to estimate the prevalence of underweight, overweight and obesity in children and adolescents with JIA compared to the general population, and b) to investigate correlates of patients’ weight status.Methods:A cross-sectional analysis of physicians’ recorded body weights and heights of patients with JIA enrolled in the NPRD in the year 2019 was performed. Underweight (BMI <10th), overweight (BMI >90th) and obesity (BMI >97th) were defined according to age- and sex-specific percentiles used in the German reference system. For comparison with data from the general population [2], sex- and age-matched pairs of 3-17-year-old patients and controls were generated. A multinomial logistic regression analysis was performed to examine the association between weight status and patients’ clinical and self-reported outcomes.Results:In total, data from 6.515 children and adolescents with JIA (age 11.2 ± 4.1 years, disease duration 4.9 ± 3.8 years, 67% girls, 40% persistent oligoarthritis) were included. Of these, 3.334 (age 5.9 ± 2.1 years, 52.5% girls) could be considered for matched-pair analysis. Compared with the general population, patients underweight, overweight and obesity rates were 10.6% (vs. 8.1%), 8.8% (vs. 8.5%) and 6.1% (vs. 5.7%), respectively. No significant sex differences were found in either group. Largest difference in prevalence was registered for underweight, specifically in the age group 3-6 years (12.9% patients vs. 5.9% controls). Similar to the general population, higher rates of overweight were observed in adolescent patients than in affected children (19.1% age group 11-13 vs. 8.4% age group 3-6). While the highest underweight prevalence was registered in patients with RF+ polyarthritis (16%), patients with Enthesitis-related arthritis (22%), psoriatic arthritis (21%) and systemic JIA (20%) showed the highest overweight rates (including obesity). Younger age (OR = 0.51, 95% CI = 0.31-0.83), more frequent physical activity (OR = 0.92, 95% CI = 0.85-0.99) and high parental vocational education (OR = 0.39, 95% CI = 0.18-0.80) were independently associated with a lower likelihood of being overweight/obese.Conclusion:The overall prevalence of underweight, overweight and obesity in children and adolescents with JIA is comparable to that found in the general population. Behavioural health promotion, including regular physical activity, as part of the treatment strategy in JIA should preventively already begin at preschool age and necessarily be made accessible to patients of all educational levels.References:[1]Giani T et al. The influence of overweight and obesity on treatment response in juvenile idiopathic arthritis. Front Pharmacol 2019;10:637.[2]Schienkiewitz A et al. BMI among children and adolescents: prevalences and distribution considering underweight and extreme obesity. Bundesgesundheitsbl 2019;62:1225–1234.Acknowledgements:The National Paediatric Rheumatological Database has been funded by AbbVie, Chugai, Novartis and GSK.Disclosure of Interests:Florian Milatz: None declared, Jens Klotsche: None declared, Martina Niewerth: None declared, Jana Hörstermann: None declared, Daniel Windschall: None declared, Frank Weller-Heinemann Speakers bureau: Pfizer, AbbVie, SOBI, Roche and Novartis., Frank Dressler: None declared, Rainer Berendes: None declared, Johannes-Peter Haas: None declared, Gerd Horneff: None declared, Kirsten Minden Speakers bureau: Pfizer, AbbVie, Consultant of: Novartis

scholarly journals Can Health-Promoting Schools Contribute to Better Health Behaviors? Physical Activity, Sedentary Behavior, and Dietary Habits among Israeli Adolescents

2021 ◽  
Vol 18 (3) ◽  
pp. 1183
Author(s):  
Hila Beck ◽  
Riki Tesler ◽  
Sharon Barak ◽  
Daniel Sender Moran ◽  
Adilson Marques ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Confidence Interval ◽  
Health Behaviors ◽  
Sedentary Behavior ◽  
Dietary Habits ◽  
Group Differences ◽  
Time Behavior ◽  
Health Promoting ◽  
The Mean

Schools with health-promoting school (HPS) frameworks are actively committed to enhancing healthy lifestyles. This study explored the contribution of school participation in HPS on students’ health behaviors, namely, physical activity (PA), sedentary behavior, and dieting. Data from the 2018/2019 Health Behavior in School-aged Children study on Israeli adolescents aged 11–17 years were used. Schools were selected from a sample of HPSs and non-HPSs. Between-group differences and predictions of health behavior were analyzed. No between-group differences were observed in mean number of days/week with at least 60 min of PA (HPS: 3.84 ± 2.19 days/week, 95% confidence interval of the mean = 3.02–3.34; non-HPS: 3.93 ± 2.17 days/week, 95% confidence interval of the mean = 3.13–3.38). Most children engaged in screen time behavior for >2 h/day (HPS: 60.83%; non-HPS: 63.91%). The odds of being on a diet were higher among more active children (odds ratio [OR] = 1.20), higher socio-economic status (OR = 1.23), and female (OR = 2.29). HPS did not predict any health behavior. These findings suggest that HPSs did not contribute to health behaviors more than non-HPSs. Therefore, health-promoting activities in HPSs need to be improved in order to justify their recognition as members of the HPS network and to fulfill their mission.

scholarly journals Physical Activity Patterns in Youth With Intellectual Disabilities

2016 ◽  
Vol 33 (4) ◽  
pp. 374-390 ◽  
Author(s):  
Samantha J. Downs ◽  
Stuart J. Fairclough ◽  
Zoe R. Knowles ◽  
Lynne M. Boddy
Keyword(s):  
Physical Activity ◽  
Multivariate Analysis ◽  
Intellectual Disabilities ◽  
Activity Patterns ◽  
Final Analysis ◽  
Analysis Of Covariance ◽  
Age Group ◽  
Physical Activity Patterns

The aim of this study was to assess the physical activity (PA) patterns of youth with intellectual disabilities (ID). PA was monitored for 7 days in 70 participants, 5–15 years old, using accelerometers. There were 32 participants included in the final analysis. Habitual PA and the number of continuous bouts accrued for a range of bout lengths (5–600 s) for light (LPA), moderate (MPA), and vigorous (VPA) PA were calculated. Multivariate analysis of covariance was used to assess differences in the number of continuous bouts by sex, age, and ID group and between week and weekend days. Participants exhibited short sporadic bursts of activity. The number of continuous bouts decreased as the intensity and duration increased. Few differences in PA patterns were reported by sex, ID group, and age group and between week and weekend days, possibly due to the generally low PA levels in this population.

Young People’s Motivational Profiles in Physical Activity: A Cluster Analysis

2001 ◽  
Vol 23 (1) ◽  
pp. 1-22 ◽  
Author(s):  
C.K. John Wang ◽  
Stuart J.H. Biddle
Keyword(s):  
Physical Activity ◽  
Cluster Analysis ◽  
Young People ◽  
Large Scale ◽  
Goal Orientations ◽  
National Sample ◽  
Achievement Goal Orientations ◽  
Athletic Ability ◽  
Self Worth ◽  
And Gender

A great deal has been written about the motivation of young people in physical activity, and the determinants of activity for this age group have been identified as a research priority. Despite this, there are few large-scale studies identifying “types” or “clusters” of young people based on their scores on validated motivation inventories. This study reports the results of a cluster analysis of a large national sample (n = 2,510) of 12- to 15-year-olds using contemporary approaches to physical activity motivation: achievement goal orientations, self-determination theory (including amotivation), the nature of athletic ability beliefs, and perceived competence. Five meaningful clusters were identified reflecting two highly motivated and two less well-motivated clusters, as well as a clearly amotivated cluster. Groupings were validated by investigating differences in physical activity participation and perceptions of physical self-worth. Some clusters reflected age and gender differences. The results provide valuable information for likely strategies to promote physical activity in young people.

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