455 resultados para Physical activity measurement


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Purpose. To examine associations between children's perceptions of the neighborhood environment and walking and physical activity.
Design. Cross-sectional study of a school-based sample.
Setting. Elementary schools in Melbourne, Australia.
Subjects. 280 children aged 10 years (response rate 78%).
Measures. A self-report survey assessed children's perceptions of the neighborhood physical and social environments and their weekly walking frequency. Physical activity was also objectively measured using accelerometers.
Results. Multiple linear regression analyses showed a positive association between walking frequency and the number of accessible destinations in the neighborhood among boys; having a neighborhood that was easy to walk/cycle around and perceiving lots of graffiti were positively associated with walking frequency among girls. Perceiving lots of litter and rubbish was positively associated with boys' overall physical activity, but no environmental variables were associated with girls' overall physical activity.
Conclusion. Several different environmental factors were associated with walking and physical activity. Perceptions of the neighborhood environment were more strongly associated with girls' walking than with objectively-measured physical activity. Future studies should confirm these findings using objective measures and prospective study designs.

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Objective: We examined the associations of objectively measured sedentary time, light-intensity physical activity, and moderate- to vigorous-intensity activity with fasting and 2-h postchallenge plasma glucose in Australian adults.

Research Design and Methods: A total of 67 men and 106 women (mean age ± SD 53.3 ± 11.9 years) without diagnosed diabetes were recruited from the 2004–2005 Australian Diabetes, Obesity, and Lifestyle (AusDiab) study. Physical activity was measured by Actigraph  accelerometers worn during waking hours for 7 consecutive days and summarized as sedentary time (accelerometer counts/min <100; average hours/day), light-intensity (counts/min 100-1951), and moderate- to vigorous-intensity (counts/min ≥1,952). An oral glucose tolerance test was used to ascertain 2-h plasma glucose and fasting plasma glucose.

Results: After adjustment for confounders (including waist circumference), sedentary time was positively associated with 2-h plasma glucose (b = 0.29, 95% CI 0.11–0.48, P = 0.002); light-intensity activity time (b = –0.25, –0.45 to –0.06, P = 0.012) and moderate- to vigorous-intensity activity time (b = –1.07, –1.77 to –0.37, P = 0.003) were negatively associated. Light-intensity activity remained significantly associated with 2-h plasma glucose following further adjustment for moderate- to vigorous-intensity activity (b = –0.22, –0.42 to –0.03, P = 0.023). Associations of all activity measures with fasting plasma glucose were nonsignificant (P > 0.05).

Conclusions
: These data provide the first objective evidence that light-intensity physical activity is beneficially associated with blood glucose and that sedentary time is unfavorably associated with blood glucose. These objective data support previous findings from studies using self-report measures, and suggest that substituting light-intensity activity for television viewing or other sedentary time may be a practical and achievable preventive strategy to reduce the risk of type 2 diabetes and cardiovascular disease.

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With global increases in the prevalence of overweight and obesity among children and adolescents, there has never been a more urgent need for effective physical activity programs. The aim of this narrative review is to summarize the evidence of the effectiveness of interventions that report physical activity outcomes in children aged 4–12 years and adolescents aged 13–19 years. A systematic search of electronic databases identified 76 interventions. Most interventions were delivered via the school setting (57 interventions), nine through the family setting, six via primary care, and four in community- or Internet-based settings. Children's physical activity interventions that were most effective in the school setting included some focus on physical education, activity breaks, and family strategies. Interventions delivered in the family setting were not highly effective, but many were pilot studies. The use of motivationally tailored strategies and program delivery in the primary care setting showed promise among adolescents. Many studies had methodological and reporting flaws (e.g., no baseline data, poor study design, physical activity measures of unknown reliability and validity, and poor reporting of sample size, response rates, attrition/retention, compliance, year of intervention, and duration of intervention). Publications reporting the results of evaluations of intervention studies should follow the Consolidated Standards of Reporting Trials guidelines or, for nonrandomized studies, should follow the Transparent Reporting of Evaluations with Nonrandomized Designs guidelines. Further evidence of the effectiveness of interventions promoting young people's physical activity in family and community settings is needed.

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A consensus meeting was held in Bangkok, 21–23 May 2002, where experts and young scientists in the field of physical activity, energy expenditure and bodyweight regulation discussed the different aspects of physical activity in relation to the emerging problem of obesity worldwide. The following consensus statement was accepted unanimously.
‘The current physical activity guideline for adults of 30 minutes of moderate
intensity activity daily, preferably all days of the week, is of importance for
limiting health risks for a number of chronic diseases including coronary heart disease and diabetes. However for preventing weight gain or regain this guideline is likely to be insufficient for many individuals in the current environment. There is compelling evidence that prevention of weight regain in formerly obese individuals requires 60–90 minutes of moderate intensity activity or lesser amounts of vigorous intensity activity. Although definitive data are lacking, it seems likely that moderate intensity activity of approximately 45 to 60 minutes per day, or 1.7 PAL (Physical Activity Level) is required to prevent the transition to overweight or obesity. For children, even more activity time is recommended. A good approach for many individuals to obtain the recommended level of physical activity is to reduce sedentary behaviour by incorporating more incidental and leisure-time activity into the daily routine. Political action is imperative
to effect physical and social environmental changes to enable and encourage physical activity. Settings in which these environmental changes can be implemented include the urban and transportation infrastructure, schools, and workplaces.’

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BACKGROUND: Intervention trials with self-selected participants have shown that mailed stage-targeted print materials can increase participation in physical activity in the short term. We examined the effects of a mailed stage-targeted print intervention designed to promote physical activity, in a random sample of adults living in a regional city.

METHOD: Participants (n = 462, 40-60 years of age) were randomly allocated to an intervention (n = 227) or control group (n = 235). Measures included validated 2-week physical activity recall and stage of motivational readiness for physical activity. The intervention consisted of a single mailing of a letter and full-color stage-targeted booklets (specific to precontemplation, contemplation, preparation, and action/maintenance) 1 week postbaseline. Follow-up interviews were conducted at 2 and 6 months postbaseline.

RESULTS: After 2 months, participants in the intervention group were significantly more likely to meet the current American College of Sports Medicine/Centers for Disease Control and Prevention recommendation for sufficient physical activity than those in the control group (adjusted odds ratio [OR] = 2.40; 95% confidence interval [CI] = 1.44-3.99). After 6 months, intervention participants who reported receiving and reading the intervention materials were significantly more likely to be meeting the sufficient physical activity criterion compared with the control group (adjusted OR = 2.03; 95% CI = 1.16-3.56).

CONCLUSIONS: The stage-targeted print intervention was effective in promoting short-term increases in physical activity and was most effective for participants who recognized and used the materials. This low-cost, generalizable intervention has demonstrated potential as a practical population-based physical activity promotion strategy. Further research is required before widespread dissemination would be justified, as additional strategies may be required to ensure sustained change.

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AIM: To assess the cost-effectiveness of the 'Green Prescription' physical activity counselling programme in general practice.
METHOD: Prospective cost-effectiveness study undertaken as part of a cluster randomised controlled trial with 12-month follow-up of 878 'less-active' patients aged 40-79 years in 42 general practices in the Waikato. The intervention was verbal advice and a written exercise prescription given by general practitioners, with telephone exercise specialist follow-up compared with usual care. Main outcome measures included cost per total and leisure-time physical activity gain from health-funders' and societal perspectives.
RESULTS: Significant increases in physical activity were found in the randomised controlled trial. Programme-cost per patient was NZ170 dollars from a funder's perspective. The monthly cost-effectiveness ratio for total energy expenditure achieved was 11 dollars per kcal/kg/day. The incremental cost of converting one additional 'sedentary' adult to an 'active' state over a twelve-month period was NZ1,756 dollars in programme costs.
CONCLUSION: Verbal and written physical activity advice given in general practice with telephone follow-up is an inexpensive way of increasing activity for sedentary people, and has the potential to have significant economic impact through reduction in cardiovascular and other morbidity and mortality.

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Examines the development of a reliable, valid and feasible method for assessing physical activity among children ages 5-6 and 10-12 years. Information on the subjects of the study; Assessment of test-retest reliability of a parental proxy questionnaire and a children's self-report questionnaire; Utilization of accelerometry to assess the criterion validity of the questionnaire.

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The aim of this study was to describe the type, frequency, duration, and intensity of children's physical activity and to examine differences by sex, age, and socioeconomic status. Participants consisted of 5- to 6-year-old (n = 291) and 10- to 12-year-old (n = 919) children and their parents who were taking part in the Children's Leisure Activities Study (CLASS). Parents completed proxy questionnaires about their child's activities, and all children wore an accelerometer for 8 days. Accelerometry data showed that younger children accumulated approximately 4 hrs of moderate- to vigorous-intensity physical activity (MVPA) per day, and older children accumulated approximately 2 hrs per day. Fewer than three-quarters of 10- to 12-year-old boys and less than half of 10- to 12-year-old girls recorded 120 min of MVPA per day. Significant differences in the number of activities, as well as the type and frequency of activities performed, were observed by age and sex. The findings indicate that physical activities that appeal to older girls, such as lifestyle-type noncompetitive activities, should be considered in the development of physical activity promotion strategies.

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Objective: To estimate variation between small areas in the levels of walking, cycling, jogging, and swimming and overall physical activity and the importance of area level socioeconomic disadvantage in predicting physical activity participation.

Methods: All census collector districts (CCDs) in the 20 innermost local government areas in metropolitan Melbourne, Australia, were identified and ranked by the percentage of low income households (<$400/week) living in the CCD. Fifty CCDs were randomly selected from the least, middle, and most disadvantaged septiles of the ranked CCDs and 2349 residents (58.7% participation rate) participated in a cross sectional postal survey about physical activity. Multilevel logistic regression (adjusted for extrabinomial variation) was used to estimate area level variation in walking, cycling, jogging, and swimming and in overall physical activity participation, and the importance of area level socioeconomic disadvantage in predicting physical activity participation.

Results: There were significant variations between CCDs in all activities and in overall physical participation in age and sex adjusted models; however, after adjustment for individual SES (income, occupation, education) and area level socioeconomic disadvantage, significant differences remained only for walking (p = 0.004), cycling (p = 0.003), and swimming (p = 0.024). Living in the most socioeconomically disadvantaged areas was associated with a decreased likelihood of jogging and of having overall physical activity levels that were sufficiently active for health; these effects remained after adjustment for individual socioeconomic status (sufficiently active: OR 0.70, 95% CI 0.55 to 0.90 and jogging: OR = 0.69, 95% CI 0.51 to 0.94).

Conclusion: These research findings support the need to focus on improving local environments to increase physical activity participation.

Abbreviations: SES, socioeconomic status; CCD, census collector district


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Aims/hypothesis We analysed a sample of Australian adults to determine the strength of associations of TV viewing and participation in physical activity with the metabolic syndrome.

Methods
This population-based cross-sectional study included 6,241 adults aged ge35 years who were free from diagnosed diabetes mellitus and self-reported ischaemic disease and were not taking lipid-lowering or antihypertensive drugs. The metabolic syndrome was defined according to the 1999 World Health Organization criteria. Participants self-reported TV viewing time and physical activity time for the previous week.

Results The adjusted odds ratio of having the metabolic syndrome was 2.07 (95% CI 1.49–2.88) in women and 1.48 (95% CI 0.95–2.31) in men who watched TV for >14 h per week compared with those who watched le7.0 h per week. Compared with those who were less active (<2.5 h per week), the odds ratio for the metabolic syndrome was 0.72 (95% CI 0.58–0.90) in men and 0.53 (95% CI 0.38–0.74) in women who were active (ge2.5 h per week). Longer TV viewing (>14 h per week) was associated with an increased risk of insulin resistance, obesity and dyslipidaemia in both men and women. A total physical activity time of ge2.5 h per week was associated with a reduced prevalence of both insulin resistance and dyslipidaemia in both sexes and reduced prevalence of both obesity and hypertension in women.

Conclusions/interpretation Increased TV viewing time was associated with an increased prevalence of the metabolic syndrome, while physical activity was associated with a reduced prevalence. Population strategies addressing the metabolic syndrome should focus on reducing sedentary behaviours such as TV viewing, as well as increasing physical activity.

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Background: Mediated physical activity interventions can reach large numbers of people at low cost. Programs delivered through the mail that target the stage of motivational readiness have been shown to increase activity. Communication technology (websites and e-mail) might provide a means for delivering similar programs. Methods: Randomized trial conducted between August and October 2001. Participants included staff at an Australian university (n=655; mean AGE=43, standard deviation, 10 years). Participants were randomized to either an 8-week, stage-targeted print program (Print) or 8-week, stage-targeted website (Web) program. The main outcome was change in self-reported physical activity. Results: There was no significant increase in total reported physical activity within or between groups when analyzed by intention to treat (F [1,653]=0.41, p=0.52). There was a significant increase in total physical activity reported by the Print participants who were inactive at baseline (t [1,173]=−2.21, p=0.04), and a significant decrease in the average time spent sitting on a weekday in the Web group (t [1,326]=2.2, p=0.03). Conclusions: There were no differences between the Print and Web program effects on reported physical activity. The Print group demonstrated slightly larger effects and a higher level of recognition of program materials.