971 resultados para Measures of Noncompactness


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Background The aim of this study was to examine the distribution of physical activity facilities by area-level deprivation in Scotland, adjusting for differences in urbanicity, and exploring differences between and within the four largest Scottish cities. Methods We obtained a list of all recreational physical activity facilities in Scotland. These were mapped and assigned to datazones. Poisson and negative binomial regression models were used to investigate associations between the number of physical activity facilities relative to population size and quintile of area-level deprivation. Results The results showed that prior to adjustment for urbanicity, the density of all facilities lessened with increasing deprivation from quintiles 2 to 5. After adjustment for urbanicity and local authority, the effect of deprivation remained significant but the pattern altered, with datazones in quintile 3 having the highest estimated mean density of facilities. Within-city associations were identified between the number of physical activity facilities and area-level deprivation in Aberdeen and Dundee, but not in Edinburgh or Glasgow. Conclusions In conclusion, area-level deprivation appears to have a significant association with the density of physical activity facilities and although overall no clear pattern was observed, affluent areas had fewer publicly owned facilities than more deprived areas but a greater number of privately owned facilities.

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ABSTRACT
Home and school are important settings where children can accrue health promoting physical activity (PA). Little is known about the PA levels and associated environmental characteristics at home and school in children with cerebral palsy (CP). An observational tool - Behaviors of Eating and Activity for Children’s Health Evaluation System (BEACHES) - offers potential for providing information.


Objective: To validate BEACHES against Actigraph accelerometer and to document PA of children with CP at a special residential school facility for children with physical disabilities.

Methods
: Five children with CP (2 girls, 3 boys; aged 9.82 ± 2.39 years) in Level I of the Gross Motor Function Classification System (GMFCS) participated. PA monitoring was conducted once a week during four consecutive weeks at morning recess at school and during after school hours at the children’s residence. Estimates of time spent being sedentary and being active were derived from the Actigraph and compared to estimates obtained with BEACHES.

Results
: Children’s PA observed using BEACHES was comparable to the Actigraph estimations. In general, children were more active at recess than after school and the physical locations assessed by BEACHES were associated with objectively measured PA time.

Conclusion: This pilot study indicates that BEACHES appears to be a suitable measure of PA for children with CP in both home and school settings. Additional study with a larger and more diverse sample is recommended to verify the results.

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Aim
To determine which measurement of adiposity – standardised body mass index (BMI-z), waist circumference or body fat percentage – is most closely correlated with adolescents' weight perception and whether this differs by gender.

Methods
Weight and height (used to calculate BMI-z), waist circumference and body fat percentage were measured in 2278 adolescents aged between 12 and 16 and compared with self-reported weight status.

Results
The distribution of subjects across the three weight categories (underweight, healthy weight and overweight) differed significantly between BMI-z, waist circumference and body fat percentage (p < 0.001). BMI-z was most closely aligned with perceived weight status in boys and girls, and waist circumference was also a good correlate of weight perception in boys. Boys were more likely than girls to underestimate their weight when it was defined by BMI-z; however, girls were equally likely to underestimate their weight when it was defined by waist circumference. The majority of adolescents underestimated their weight status when it was defined by BF%.

Conclusion
BMI-z is the closest correlate of self-perceived weight status. In the absence of internationally accepted reference values for waist circumference, BMI-z is the most appropriate measure to verify weight perception.