983 resultados para walking speed


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Like me you probably read a few magazines, including PC Update, and Google your way around the Web before launching into any complex endeavour involving PC or network updates. This is particularly the case when it comes to any serious expenditure. I'll be honest; sometimes I read the reviews after the fact, just as I sometimes read the instructions after an installation goes pear-shaped. This How-To is one of those experiences.

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Judgments concerning features of environments do not always correspond accurately with objective measures of those same features. Moreover, perceived and objectively assessed environmental attributes, including proximity of destinations, may influence walking behavior in different ways. This study compares perceived and objectively assessed distance to several different destinations and examines whether correspondence between objective and perceived distance is influenced by age, gender, neighborhood walkability, and walking behavior. Distances to most destinations close to home are overestimated, whereas distances to those farther away are underestimated. Perceived and objective distances to certain types of destinations are differentially associated with walking behavior. Perceived environmental attributes do not consistently reflect objectively assessed attributes, and both appear to have differential effects on physical activity behavior.

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Background: No studies have yet examined the associations of physical environmental attributes specifically with walking in adults with type 2 diabetes.

Purpose: The purpose of this study was to examine associations of perceived community physical environmental attributes with walking for transport and for recreation among adults living with type 2 diabetes.

Methods: Participants were 771 adults with type 2 diabetes who completed a self-administered survey on perceived community physical environmental attributes and walking behaviors.

Results
: Based on a criterion of a minimum of 120-min/week, some 29% were sufficiently active through walking for transport and 33% through walking for recreation. Significantly higher proportions of those actively walking for transport and for recreation had shops or places to buy things close by (67.8% and 60.9%); lived within a 15-min walk to a transit stop (70.6% and 71.0%); did not have dead-end streets close by (77.7% and 79.8%); reported interesting things to look at (84.8% and 84.4%); and lived close to low-cost recreation facilities (81.3% and 78.8%). In addition, those actively walking for transport reported living in a community with intersections close to each other (75.6%) and with sidewalks on their streets (88.1%). When these variables were entered simultaneously into logistic regression models, living close by to shops was positively related to walking for transport (OR= 1.92, 99% CI=1.11–3.32).

Conclusions: Consistent with findings from studies of healthy adult populations, positive perceptions of community environmental attributes are associated with walking for transport among adults with type 2 diabetes. The now-strong public health case for environmental innovations to promote more walking for transport is further reinforced by the potential to benefit those living with diabetes.

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Background: Studies have shown associations between health indices and access to “green” environments but the underlying mechanisms of this association are not clear.

Objectives: To examine associations of perceived neighbourhood “greenness” with perceived physical and mental health and to investigate whether walking and social factors account for the relationships.

Methods: A mailed survey collected the following data from adults (n  =  1895) in Adelaide, Australia: physical and mental health scores (12-item short-form health survey); perceived neighbourhood greenness; walking for recreation and for transport; social coherence; local social interaction and sociodemographic variables.

Results: After adjusting for sociodemographic variables, those who perceived their neighbourhood as highly green had 1.37 and 1.60 times higher odds of better physical and mental health, respectively, compared with those who perceived the lowest greenness. Perceived greenness was also correlated with recreational walking and social factors. When walking for recreation and social factors were added to the regression models, recreational walking was a significant predictor of physical health; however, the association between greenness and physical health became non-significant. Recreational walking and social coherence were associated with mental health and the relationship between greenness and mental health remained significant.

Conclusions: Perceived neighbourhood greenness was more strongly associated with mental health than it was with physical health. Recreational walking seemed to explain the link between greenness and physical health, whereas the relationship between greenness and mental health was only partly accounted for by recreational walking and social coherence. The restorative effects of natural environments may be involved in the residual association of this latter relationship.

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In the first section of this article, we discuss the metabolic responses to walking by describing the economy of walking during different locomotion velocities. Gender, weight status, and growth effects on metabolic responses to walking are reviewed. In the second section, we examine the use of technology to assess walking patterns and behavior in the community. We use an engineering approach for understanding how to measure objects that move, and these methods are used to assess walking used in transportation. In the third part of the paper, we summarize self-report methods that have been used to assess walking behavior and highlight the strengths and weaknesses of these methods. We illustrate how self-report methods are used to quantify walking behavior in the surveillance systems that are now widely used to ascertain walking prevalence and temporal changes in different populations. In the final section, we discuss ways of measuring the walkability of neighborhoods and the community to understand the influence of the built environment on walking behavior.

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Issue addressed: Several studies have shown that dog owners do more physical activity than non-owners; however, associations with weight status are unknown. This study examined associations between dog ownership, frequency of dog walking and weight status among children and their parents. Methods: Height and weight were measured for 281 children aged 5-6 years and 864 children aged 10-12 years. One parent reported their own and their partner's height and weight (n=1,108), dog ownership, usual frequency their child walks a dog, and usual frequency of walking the dog as a family. Logistic regression analyses were adjusted for sex (children only), physical activity, education, neighbourhood SES, parental weight status (children only) and clustering by school. Results: Dog ownership ranged from 45-57% in the two age groups. Nearly one in four 5-6 year-olds and 37% of 10-12 year- olds walked a dog at least once/week. Weekly dog walking as a family was reported by 24-28% of respondents. The odds of being overweight or obese were lower among younger children who owned a dog (OR=0.5, 95% CI 0.3-0.8) and higher among mothers whose family walked the dog together (OR--1.3, 95% CI 1.0-1.7). Conclusions: Dog ownership may offer some protection from overweight among young children. It is important that families with a dog are encouraged to walk or play with it regularly. Associations with weight status may depend on the type of dog owned, length of ownership and the nature of walks or interaction.

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We examined associations between objective measures of the local road environment and physical activity (including active transport) among youth. There is little empirical evidence of the impact of the road environment on physical activity among children/adolescents in their neighborhoods. Most recent studies have examined perceptions rather than objective measures of the road environment. This was a cross-sectional study of children aged 8–9 years (n = 188) and adolescents aged 13–15 years (n  = 346) who were participants in the 3-year follow-up of the Children Living in Active Neighborhoods (CLAN) longitudinal study in Melbourne, Australia. At baseline (2001), they were recruited from 19 state primary schools in areas of varying socioeconomic status across Melbourne. Habitual walking/cycling to local destinations was parent-reported for children and self-reported for adolescents, while moderate-to-vigorous physical activity (MVPA) outside school hours was recorded using accelerometers. Road environment features in each participant’s neighborhood (area of radius 800 m around the home) were measured objectively using a geographical information system. Regression analyses found no associations between road environment variables and children’s likelihood of making at least seven walking/cycling trips per week to neighborhood destinations. Adolescent girls residing in neighborhoods with two to three traffic/pedestrian lights were more likely to make seven or more walking/cycling trips per week as those whose neighborhoods had fewer traffic lights (OR: 2.7; 95% CI: 1.2–6.2). For adolescent boys, residing on a cul-de-sac, compared with a through road, was associated with increases in MVPA of 9 min after school, 5 min in the evenings, and 22 min on weekend days. Speed humps were positively associated with adolescent boys’ MVPA during evenings. The road environment influences physical activity among youth in different ways, according to age group, sex and type of physical activity.

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Objectives.
To describe the design and baseline results of an evaluation of the Western Australian government's pedestrian-friendly subdivision design code (Liveable Neighborhood (LN) Guidelines).
Methods.

Baseline results (2003–2005) from a longitudinal study of people (n = 1813) moving into new housing developments: 18 Liveable, 11 Hybrid and 45 Conventional (i.e., LDs, HDs and CDs respectively) are presented including usual recreational and transport-related walking undertaken within and outside the neighborhood, and 7-day pedometer steps.
Results.

At baseline, more participants walked for recreation and transport within the neighborhood (52.6%; 36.1% respectively), than outside the neighborhood (17.7%; 13.2% respectively). Notably, only 20% of average total duration of walking (128.4 min/week (SD159.8)) was transport related and within the neighborhood. There were few differences between the groups' demographic, psychosocial and perceived neighborhood environmental characteristics, pedometer steps, or the type, amount and location of self-reported walking (p > 0.05). However, asked what factors influenced their choice of housing development, more participants moving into LDs reported aspects of their new neighborhood's walkability as important (p < 0.05).
Conclusions.

The baseline results underscore the desirability of incorporating behavior and context-specific measures and value of longitudinal designs to enable changes in behavior, attitudes, and urban form to be monitored, while adjusting for baseline residential location preferences.

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Fully-connected mesh networks that can potentially be employed in a range of applications, are inherently associated with major deficiencies in interference management and network capacity improvement. The tree-connected (routing based) mesh networks used in today’s applications have major deficiencies in routing delays and reconfiguration delays in the implementation stage. This paper introduces a CDMA based fully-connected mesh network, which controls the transmission powers of the nodes in order to ensure that the communication channels remain interference-free and minimizes the energy consumption. Moreover, the bounds for the number of nodes and the spatial configuration are provided to ensures that the communication link satisfies the QoS (Quality of Service) requirements at all times.

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This paper empirically estimates a murder supply equation for the United States from 1965 to 2001 within a cointegration and error correction framework. Our findings suggest that any support for the deterrence hypothesis is sensitive to the inclusion of variables for the effects of guns and other crimes. In the long run we find that real income and the conditional probability of receiving the death sentence are the main factors explaining variations in the homicide rate. In the short run the aggravated assault rate and robbery rate are the most important determinants of the homicide rate.

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Background : To assess from a societal perspective the incremental cost-effectiveness of the Walking School Bus (WSB) program for Australian primary school children as an obesity prevention measure. The intervention was modelled as part of the ACE-Obesity study, which evaluated, using consistent methods, thirteen interventions targeting unhealthy weight gain in Australian children and adolescents.

Methods : A logic pathway was used to model the effects on body mass index [BMI] and disability-adjusted life years [DALYs] of the Victorian WSB program if applied throughout Australia. Cost offsets and DALY benefits were modelled until the eligible cohort reached 100 years of age or death. The reference year was 2001. Second stage filter criteria ('equity', 'strength of evidence', 'acceptability', feasibility', sustainability' and 'side-effects') were assessed to incorporate additional factors that impact on resource allocation decisions.

Results : The modelled intervention reached 7,840 children aged 5 to 7 years and cost $AUD22.8M ($16.6M;$30.9M). This resulted in an incremental saving of 30 DALYs (7:104) and a net cost per DALY saved of $AUD0.76M ($0.23M; $3.32M). The evidence base was judged as 'weak' as there are no data available documenting the increase in the number of children walking due to the intervention. The high costs of the current approach may limit sustainability.

Conclusions : Under current modelling assumptions, the WSB program is not an effective or cost-effective measure to reduce childhood obesity. The attribution of some costs to non-obesity objectives (reduced traffic congestion and air pollution etc.) is justified to emphasise the other possible benefits. The program's cost-effectiveness would be improved by more comprehensive implementation within current infrastructure arrangements. The importance of active transport to school suggests that improvements in WSB or its variants need to be developed and fully evaluated.

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Background
Little is known about what happens to active commuting as children get older, and less is known about influences on changes in this behavior. This study examined predictors of increases in children's and adolescents' active commuting (walking or cycling) to/from school over a 2-year period.
Methods
Participants were initially recruited and assessed in 2001. Follow-up data were collected in 2004 and 2006 and analyzed in 2008. Participants were 121 children (aged 9.1±0.34 years in 2004) and 188 adolescents (aged 14.5±0.65 years in 2004) from Melbourne, Australia. Parents and adolescents reported their perceptions of individual-level factors and of the neighborhood social and physical environment. Weekly active commuting (walking or cycling) to/from school, ranging from 0 to 10 trips/week was also proxy- or self-reported at the initial measurement and again 2 years later. Logistic regression analyses examined predictors of increases in active commuting over time.
Results
Children whose parents knew many people in their neighborhood were more likely to increase their active commuting (OR=2.6; CI=1.2, 5.9; p=0.02) compared with other children. Adolescents whose parents perceived there to be insufficient traffic lights and pedestrian crossings in their neighborhood were less likely to increase their active commuting over 2 years (OR=0.4; CI=0.2, 0.8; p=0.01), whereas adolescents of parents who were satisfied with the number of pedestrian crossings were more likely to increase their active commuting (OR=2.4; CI=1.1, 5.4; p=0.03) compared with other adolescents.
Conclusions
Social factors and physical environmental characteristics were the most important predictors of active commuting in children and adolescents, respectively.

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Purpose

The purpose of this study was to investigate the impact of using a pedometer on time spent walking, in sedentary and overweight adults with type 2 diabetes participating in a coaching intervention. It was hypothesized that participants using a pedometer would spend more time walking than would nonpedometer participants.

Method

A sample of 57 men and women with a mean age of 62 years participated in a randomized controlled trial in a community setting. Participants were allocated to either a pedometer and coaching (intervention) group or a coaching-only (control) group. Coaching for both groups involved education, goal setting, and supportive/ motivational strategies to increase time spent walking. The duration of the study was 6 months, with blood pressure, glycosylated hemoglobin, anthropometric, and fitness measurements assessed at baseline and at 3-month intervals.

Results

A repeated-measures analysis of variance indicated that the coaching-only group spent significantly more time walking than did the pedometer group. However, when an analysis of covariance with all the other variables as covariates was performed, group membership had no influence on time spent walking. Significant reductions in waist circumference and weight were achieved for both groups from baseline to 6 months. Cardiovascular fitness also increased significantly for both groups.

Conclusion

The study demonstrated that previously sedentary older adults with type 2 diabetes, supported with a coaching intervention, were able to achieve the physical activity targets known to be beneficial to health. However, using a pedometer added no further benefit. Further research on the impact of specific coaching strategies in diabetes management is warranted.