Abstract MP41: Comparisons of Built Environment Characteristics Inside and Outside of Spatial Clusters of Physical Activity and Obesity in Older U.S. Women

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Kosuke Tamura ◽  
Robin C Puett ◽  
Jaime E Hart ◽  
Heather A Starnes ◽  
Francine Laden ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Spatial Clustering ◽  
Health Study ◽  
Clustering Methods ◽  
Spatial Clusters ◽  
Spatial Scan Statistic ◽  
Complex Picture ◽  
Intersection Density ◽  
Study Participants

Introduction: Spatial clustering methods have been applied to cancer for over a decade. These methods have been used in studies on physical activity (PA) and obesity. One recent study examined differences in built environment attributes inside and outside PA clusters. We tested two hypotheses: 1) PA and obesity would spatially cluster in older women; and 2) built environment attributes typically related to higher walkability would be found in high PA clusters, while attributes related to lower walkability would appear in high obesity clusters. Methods: We used data from 22,589 Nurses’ Health Study participants (mean age = 69.9 ± 6.8y) in California, Massachusetts, and Pennsylvania. Two outcomes were examined: meeting PA guidelines via self-reported walking (≥ 500 MET-min/week) and obesity (BMI ≥ 30.0). Objective built environment variables were created: population and intersection density, diversity of facilities, and facility density. We used a spatial scan statistic to detect clusters (i.e., areas with high or low rates) of the two outcomes. Built environment attributes were compared inside and outside clusters. Results: Six spatial clusters of PA were found in California and Massachusetts. Two obesity clusters were found in Pennsylvania. Overall there were significant differences (p<0.05) in population and intersection density, and diversity and density of facilities inside and outside clusters. In some cases, built environment attributes related to higher walkability appeared in high PA clusters, while in other PA clusters we did not find this pattern. Differences in built environment attributes inside and outside obesity clusters showed inconsistent patterns. Conclusion: Although PA and obesity clusters emerged, the comparison of built environment attributes inside and outside clusters revealed a complex picture not fully consistent with existing literature. Further examination of PA and obesity clusters in older adults should include other built environment factors that may be related to these outcomes.

scholarly journals SELF-REPORTED WALKING PACE AND ALL-CAUSE MORTALITY AMONG CANCER SURVIVORS IN THE NIH-AARP DIET AND HEALTH STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S387-S388
Author(s):  
Elizabeth Salerno ◽  
Pedro Saint Maurice ◽  
Erik Willis ◽  
Loretta DiPietro ◽  
Charles Matthews
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Lower Risk ◽  
Health Study ◽  
Cancer Type ◽  
Study Enrollment ◽  
All Cause Mortality ◽  
After Cancer ◽  
Study Participants

Abstract We examined the association between self-reported walking pace and all-cause mortality among cancer survivors in the NIH-AARP Diet and Health Study. Participants included 30,110 adults (Mage=62.4+/-5.14 years) diagnosed with cancer between study enrollment and follow-up, when they self-reported walking pace. Individuals were followed until death or administrative censoring in 2011. We estimated the hazards ratios (HR) and 95% confidence intervals (CI) for walking pace and all-cause mortality adjusting for age, sex, race, BMI, health status, physical activity and cancer type. Cancer survivors reporting faster walking paces had significantly reduced mortality risk. Relative to those reporting an ‘easy’ walking pace, walking at a ‘normal,’ ‘brisk,’ or ‘very brisk’ pace was associated with significantly lower risk: [HR=0.74 (0.70,0.78)], [HR=0.66 (0.61,0.71)], and [HR=0.73 (0.60,0.89)], respectively. Being ‘unable to walk’ was associated with 30% increased mortality [HR=1.30 (1.15,1.46)]. These findings provide novel support for the association between self-reported walking pace and survival after cancer.

scholarly journals Spatial clustering of physical activity and obesity in relation to built environment factors among older women in three U.S. states

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Kosuke Tamura ◽  
Robin C Puett ◽  
Jaime E Hart ◽  
Heather A Starnes ◽  
Francine Laden ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Older Women ◽  
Spatial Clustering ◽  
Environment Factors

scholarly journals Research on the Difference Between Recreational Walking and Transport Walking Among the Elderly in Mega Cities With Different Density Zones: The Case of Guangzhou City

2021 ◽  
Vol 9 ◽  
Author(s):  
Peng Zang ◽  
Hualong Qiu ◽  
Fei Xian ◽  
Xiang Zhou ◽  
Shifa Ma ◽  
...  
Keyword(s):  
Physical Activity ◽  
Land Use ◽  
Built Environment ◽  
Older People ◽  
Street Connectivity ◽  
Guangzhou City ◽  
Normalised Difference Vegetation Index ◽  
Land Use Mix ◽  
Recreational Walking ◽  
Intersection Density

Walking is the easiest method of physical activity for older people, and current research has demonstrated that the built environment is differently associated with recreational and transport walking. This study modelled the environmental characteristics of three different building density zones in Guangzhou city at low, medium, and high densities, and examined the differences in walking among older people in the three zones. The International Physical Activity Questionnaire (IPAQ) was used to investigate the recreational and transport walking time of older people aged 65 years and above for the past week, for a total of three density zones (N = 597) and was analysed as a dependent variable. Geographic Information Systems (GIS) was used to identify 300, 500, 800, and 1,000 m buffers and to assess differences between recreational and transport walking in terms of the built environment [e.g., land-use mix, street connectivity, Normalised Difference Vegetation Index (NDVI) data]. The data were processed and validated using the SPSS software to calculate Pearson's correlation models and stepwise regression models between recreation and transit walking and the built environment. The results found that land use mix and NDVI were positively correlated with transport walking in low-density areas and that transport walking was negatively correlated with roadway mediated centrality (BtE) and Point-of-Interest (PoI) density. Moreover, recreational walking in medium density areas was negatively correlated with self-rated health, road intersection density, and PoI density while positively correlated with educational attainment, population density, land use mix, street connectivity, PoIs density, and NDVI. Transport walking was negatively correlated with land-use mix, number of road crossings while positively correlated with commercial PoI density. Street connectivity, road intersection density, DNVI, and recreational walking in high-density areas showed negative correlations. Moreover, the built environment of older people in Guangzhou differed between recreational and transport walking at different densities. The richness of PoIs has different effects on different types of walking.

scholarly journals The Relationship Between Time of Day of Physical Activity and Obesity in Older Women

2016 ◽  
Vol 13 (4) ◽  
pp. 416-418 ◽  
Author(s):  
Andrea K. Chomistek ◽  
Eric J. Shiroma ◽  
I-Min Lee
Keyword(s):  
Physical Activity ◽  
Weight Control ◽  
Time Of Day ◽  
Health Study ◽  
Healthy Weight ◽  
Cross Sectional ◽  
Important Health ◽  
Novel Strategy ◽  
Study Participants ◽  
Sectional Analysis

Background:Physical activity is important for maintaining healthy weight. The time of day when exercise is performed—a highly discretionary aspect of behavior—may impact weight control, but evidence is limited. Thus, we examined the association between the timing of physical activity and obesity risk in women.Methods:A cross-sectional analysis was conducted among 7157 Women’s Health Study participants who participated in an ancillary study begun in 2011 that is measuring physical activity using accelerometers. The exposure was percentage of total accelerometer counts accumulated before 12:00 noon and the outcome was obesity.Results:Mean (±SD) BMI among participants was 26.1 (±4.9) kg/m2 and 1322 women were obese. The mean activity counts per day was 203,870 (±95,811) of which a mean 47.1% (±11.5%) were recorded in the morning. In multivariable-adjusted models, women who recorded < 39% (lowest quartile) of accelerometer counts before 12:00 noon had a 26% higher odds of being obese, compared with those recording ≥ 54% (highest quartile) of counts before noon (Ptrend = 0.02).Conclusions:These study findings—that women who are less active during morning hours may be at higher risk of obesity—if confirmed can provide a novel strategy to help combat the important health problem of obesity.

scholarly journals Relationships Between the Built Environment and Walking and Weight Status Among Older Women in Three U.S. States

2014 ◽  
Vol 22 (1) ◽  
pp. 114-125 ◽  
Author(s):  
Philip J. Troped ◽  
Heather A. Starnes ◽  
Robin C. Puett ◽  
Kosuke Tamura ◽  
Ellen K. Cromley ◽  
...  
Keyword(s):  
Physical Activity ◽  
Population Density ◽  
Built Environment ◽  
Older Women ◽  
Weight Status ◽  
Environment Variables ◽  
Physical Activity Recommendations ◽  
Intersection Density ◽  
Physical Activity Facilities ◽  
Activity Recommendations

There are few studies of built environment associations with physical activity and weight status among older women in large geographic areas that use individual residential buffers to define environmental exposures. Among 23,434 women (70.0 ± 6.9 yr; range = 57–85) in 3 states, relationships between objective built environment variables and meeting physical activity recommendations via walking and weight status were examined. Differences in associations by population density and state were explored in stratified models. Population density (odds ratio [OR] =1.04 [1.02, 1.07]), intersection density (ORs = 1.18–1.28), and facility density (ORs = 1.01–1.53) were positively associated with walking. Density of physical activity facilities was inversely associated with overweight/obesity (OR = 0.69 [0.49, 0.96]). The strongest associations between facility density variables and both outcomes were found among women from higher population density areas. There was no clear pattern of differences in associations across states. Among older women, relationships between accessible facilities and walking may be most important in more densely populated settings.

scholarly journals Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area

2021 ◽  
Author(s):  
Juan R Vallarta-Robledo ◽  
Stephane Joost ◽  
Marco Andre Vieira Ruas ◽  
Cedric Gubelmann ◽  
Peter Vollenweider ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Spatial Dependence ◽  
Urban Areas ◽  
Vigorous Physical Activity ◽  
Demographic Factors ◽  
Spatial Clusters ◽  
Cross Sectional ◽  
Objectively Measured ◽  
Socioeconomic And Demographic Factors

Evidence suggests that the built environment can influence the intensity of physical activity. However, despite the importance of the geographic context, most of the studies do not consider the spatial framework of this association. We aimed to assess individual spatial dependence of objectively measured moderate and vigorous physical activity (MVPA) and describe the characteristics of the built environment among spatial clusters of MVPA. Cross-sectional data from the second follow-up (2014-2017) of CoLaus|PsyCoLaus, a longitudinal population-based study of the Lausanne area (Switzerland), was used to objectively measure MVPA. Local Morans I was used to assess the spatial dependence of MVPA and detect geographic clusters of low and high MVPA. Additionally, the characteristics of the built environment observed in the clusters based on raw MVPA and MVPA adjusted for socioeconomic and demographic factors were described. Data from 1,889 participants (median age 63, 55% women) were used. The geographic distribution of MVPA and the characteristics of the built environment among clusters were similar for raw and adjusted MVPA. In the adjusted model, we found a low concentration of individuals within spatial clusters of high MVPA (median: 36.9 mins) and low MVPA (median: 10.1 mins). Yet, clear differences were found between clusters; high MVPA clusters were in areas where specific compositions of the built environment favor physical activity. The built environment may influence spatial patterns of MVPA independently of socioeconomic and demographic factors. Interventions in the built environment should be considered to promote physically active behaviors in urban areas.

scholarly journals The Relationship between Physical Activity and the Objectively-Measured Built Environment in Low- and High-Income South African Communities

2021 ◽  
Vol 18 (8) ◽  
pp. 3853
Author(s):  
Moses Isiagi ◽  
Kufre Joseph Okop ◽  
Estelle Victoria Lambert
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
South African ◽  
High Income ◽  
Self Report ◽  
Individual Level ◽  
History Of ◽  
Median Split ◽  
Intersection Density ◽  
Objectively Measured

There is limited data concerning the built environment and physical activity (PA) in a country with a history of sociopolitically motivated, spatial and economic disparities. We explored the extent to which objectively measured attributes of the built environment were associated with self-report or device-measured PA in low- and high-socioeconomic status (SES) communities. Methods: In a convenient sample of residents (n = 52, aged 18–65 years) from four urban suburbs in low- and high-income settings near Cape Town, South Africa, self-reported transport- and leisure-time PA, and device-measured moderate-to-vigorous PA (MVPA) data were collected. Built environment constructs derived from individual-level street network measures (1000 m buffer, ArcGIS, 10.51) were obtained. We assessed PA between four groups, based on income and GIS walkability (derived by a median split, low or high SES and low or high walkable). Results: No relationships between self-reported MVPA and GIS-measured walkability were found. Only intersection density was significantly, inversely associated with moderate and total MVPA (rho = −0.29 and rho = −0.31, respectively, p < 0.05). In the high SES group, vigorous PA was inversely associated with intersection density (rho = −0.39, p < 0.05). Self-report transport PA differed between groups (p < 0.013). Conclusions: Results suggest that the construct of walkability may relate to volitional (leisure) and utilitarian (transport) PA differently, in highly inequitable settings.

Senam Sehat dalam Meningkatkan Imun Tubuh pada Masa Pandemi Covid 19 di Desa Peringgasela Selatan

10.29210/9940 ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 32-36
Author(s):  
Muhammad Husni Tamim ◽  
Rina Nopiana
Keyword(s):  
Physical Activity ◽  
Community Service ◽  
Public Awareness ◽  
The Body ◽  
Health Study ◽  
Study Program ◽  
Education And Health ◽  
The People ◽  
Real Work ◽  
Sports Activities

Doing physical activity can make the body fit and increase the body's immunity to be able to fight the virus during the Covid-19 pandemic. Based on this, sports activities are needed to invite people to maintain their physical health through healthy exercise activities which are held aimed at increasing people's interest in exercising during the Covid-19 pandemic during new normal so that their body endurance is better. This community service (PKM) is a form of real work from the Hamzanwadi University Physical Education and Health Study Program for the people of South Pringgasela Village to participate in healthy gymnastics as an effort to prevent Covid-19. Healthy gymnastics activities can increase public awareness of the importance of maintaining health in the era of the Covid-19 pandemic.

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