scholarly journals Neighborhood environment correlates of physical activity and sedentary behavior among Latino adults in Massachusetts

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Valerie J. Silfee ◽  
Milagros C. Rosal ◽  
Meera Sreedhara ◽  
Vilma Lora ◽  
Stephenie C. Lemon
Author(s):  
Pablo Molina-Garcia ◽  
María Medrano ◽  
Jana Pelclová ◽  
Izabela Zając-Gawlak ◽  
Lenka Tlučáková ◽  
...  

The search for determinants of adiposity gain in older women has become vitally important. This study aimed to (1) analyze the adiposity gain based on the participants’ age and (2) determine the prospective associations of baseline intrapersonal, built environment, physical activity, and sedentary behavior variables with the adiposity gain in older women. This was a seven-year prospective study (baseline: 2009 to 2012; follow-up: 2016 to 2019) in older women (n = 178, baseline age = 62.8 ± 4.1 years). Baseline and follow-up adiposity (bioelectrical impedance) and baseline physical activity, sedentary behavior (accelerometers), and intrapersonal and built environment (Neighborhood Environment Walkability Scale questionnaire) variables were included. The body mass index (BMI) increment tended to be inversely associated with the women’s age (p = 0.062). At follow-up, 48, 57, and 54% of the women had a relevant increase (d-Cohen > 0.2) in their BMI, percentage of body fat, and fat mass index, respectively. The women that spent ≥8 h/day being sedentary were 2.2 times (1.159 to 4.327 CI95%, p < 0.02) more likely to increase BMI (0.82 to 0.85 kg/m2) than non-sedentary women. No built environment variables were associated with seven-year adiposity gain (all ps > 0.05). A reduction in sedentary time should be promoted for adiposity gain prevention and health preservation in older women.


2020 ◽  
Vol 34 (6) ◽  
pp. 599-607
Author(s):  
Rosenda Murillo ◽  
Layton M. Reesor-Oyer ◽  
Daphne C. Hernandez ◽  
Yu Liu ◽  
Ezemenari M. Obasi

Purpose: To examine whether aerobic physical activity mediates the association between neighborhood walkability and overweight/obesity weight status among Latino adults and whether the relative contribution of this pathway linking neighborhood walkability and aerobic activity varies by level of neighborhood social cohesion. Design: Cross-sectional. Setting: National Health Interview Survey (NHIS) 2015. Sample: NHIS adult Latino participants ≥18 years of age (n = 4303). Measures: Neighborhood walkability, neighborhood social cohesion, body mass index, and aerobic physical activity. Analysis: To determine whether physical activity mediates the relationship of walkability with overweight/obese weight status, a simple mediation analysis was conducted. Additionally, a moderated mediation analysis was conducted to test whether neighborhood social cohesion had a moderating effect on this relationship. Results: On average, the sample was 41 years old, 51% were male, 34% had less than a high school education, and 57% were foreign-born. Neighborhood walkability was statistically significantly related to overweight/obese weight status (standardized effect= −0.05, standard error [SE] = 0.02, P = .01). The interaction between walkability and neighborhood social cohesion on physical activity was not significant (standardized effect = 0.06, SE = 0.03, P = .09). Thus, the indirect effect of walkability on overweight/obesity weight status through physical activity was not shown to be modified by neighborhood social cohesion. Conclusion: Other neighborhood environment factors may play a role in the contribution of neighborhood walkability to overweight/obese weight status among Latinos.


2019 ◽  
Vol 31 (4) ◽  
pp. 480-487 ◽  
Author(s):  
Stephen Hunter ◽  
Andrei Rosu ◽  
Kylie D. Hesketh ◽  
Ryan E. Rhodes ◽  
Christina M. Rinaldi ◽  
...  

Purpose: Examine objectively measured environmental correlates of physical activity and sedentary behavior in toddlers (12–35 mo). Methods: Participants were recruited at immunization appointments in Edmonton, Canada. Physical activity and sedentary time were objectively measured via accelerometers (n = 149). The parents reported screen time and demographic characteristics via a questionnaire (n = 249). Postal codes were used to link neighborhood data via geographic information systems. Neighborhood data included 4 environmental domains: functional (ie, walkability), safety (ie, crime), esthetic (ie, tree density), and destination (ie, cul-de-sac density, wooded area percentage, green space percentage, recreation density, park density). Weather data (temperature and precipitation) were obtained via historical weather records. Multilevel multiple linear regression models were used to account for clustering of participants within neighborhoods and adjustment of demographic variables. Results: Each additional 10°C of mean temperature was significantly associated with 5.74 (95% confidence interval, 0.96–10.50) minutes per day of higher light-intensity physical activity, though the effect size was small (f2 = 0.08). No other significant associations were observed. Conclusions: The lack of significant findings for neighborhood environment factors suggests proximal factors (eg, features of the home environment) may be more important in predicting toddlers’ physical activity and sedentary behavior. More indoor physical activity opportunities may be needed on colder days for toddlers.


Author(s):  
Mikael Anne Greenwood-Hickman ◽  
Rod Walker ◽  
John Bellettiere ◽  
Andrea Z. LaCroix ◽  
Boeun Kim ◽  
...  

Neighborhood walkability has been associated with self-reported sedentary behavior (SB) and self-reported and objective physical activity. However, self-reported measures of SB are inaccurate and can lead to biased estimates, and few studies have examined how associations differ by gender and age. The authors examined the relationships between perceived neighborhood walkability measured with the Physical Activity Neighborhood Environment Scale (scored 1.0–4.0) and device-based SB and physical activity in a cohort of community-dwelling older adults (N = 1,077). The authors fit linear regression models adjusting for device wear time, demographics, self-rated health, and accounting for probability of participation. The Higher Physical Activity Neighborhood Environment Scale was associated with higher steps (+676 steps/point on the Physical Activity Neighborhood Environment Scale, p = .001) and sit-to-stand transitions (+2.4 transitions/point, p = .018). Though not statistically significant, stratified analyses suggest an attenuation of effect for those aged 85 years and older and for women. Consistent with previous literature, neighborhood walkability was associated with more steps, though not with physical activity time. The neighborhood environment may also influence SB.


2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.


Author(s):  
Anthony D. Okely ◽  
Anna Kontsevaya ◽  
Johan Ng ◽  
Chalchisa Abdeta

2021 ◽  
Vol 63 (1) ◽  
Author(s):  
Noritoshi Fukushima ◽  
Masaki Machida ◽  
Hiroyuki Kikuchi ◽  
Shiho Amagasa ◽  
Toshio Hayashi ◽  
...  

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