scholarly journals Better Park Design Contributes to Physical Activity Improvement

2020 ◽  
Vol 8 (4) ◽  
pp. 260-266
Author(s):  
Sigit Arifwidodo ◽  
Orana Chandrasiri
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Activity Level ◽  
Least Square ◽  
Survey Questionnaire ◽  
Public Park ◽  
Wide Range ◽  
Park Design ◽  
Design Intervention

Objective - Empirical evidence has identified that parks hold an essential role in promoting physical activity. Parks facilitate opportunities to be physically active for a wide range of users. The paper explores the effects of design intervention of Benjakitti Park, a public park in Bangkok, Thailand. Methodology/Technique – The system for Observing Play and Recreation in Communities (SOPARC) method was utilized before and after design intervention to understand whether the design intervention improved the park users' physical activity level. A survey questionnaire of park visitors was used to understand whether they had become more active during a park visit. Finding –It was found that the design intervention changed the characteristics of park users and their activity patterns. More children and older adults' visitors were observed in the post-design intervention. An ordinary least square model of the survey questionnaire result showed that one-time park visitation was associated with an increase of five minutes of moderate and vigorous physical activity per week. The study showed that even a small design intervention could change people's behavior towards a healthier and more active lifestyle. Type of Paper: Empirical JEL Classification: C99, R19 Keywords: Public Park; Physical Activity; Landscape Design; Public Health; SOPARC. Reference to this paper should be made as follows: Arifwidodo, S; Chandrasiri, O. (2020). Better Park Design Contributes to Physical Activity Improvement, GATR Global J. Bus. Soc. Sci. Review, 8(4): 260 – 266. https://doi.org/10.35609/gjbssr.2020.8.4(7)

Design Intervention Assessment of Urban Public Park for Physical Activity Promotion in Bangkok, Thailand

2020 ◽  
Vol 11 (1) ◽  
pp. 4-4
Author(s):  
Sigit Arifwidodo ◽  
Orana Chandrasiri
Keyword(s):  
Physical Activity ◽  
Urban Areas ◽  
Urban Landscape ◽  
Physical Activity Promotion ◽  
Well Being ◽  
Pilot Project ◽  
Public Park ◽  
Activity Promotion ◽  
Wide Range ◽  
Design Intervention

Public Park is considered one of the essential settings for physical activity, especially in urban areas. Parks support physical activity through their accessibility, their provision to facilitate active pursuits; their capacity to provide opportunities to a wide range of users; and their semi-permanent nature. The paper explores the design intervention assessment of Benchakitti Park, which serves as the pilot project for active park and showcase during the past ISPAH 2016 conference. The objective of the paper is to understand the health and well-being benefits of an urban park in increasing PA levels of urban population and promoting a healthy and active lifestyle. Keywords: Public park; physical activity; urban landscape design; public health; SOPARC

scholarly journals Annual rhythms in adults’ lifestyle and health (ARIA): protocol for a 12-month longitudinal study examining temporal patterns in weight, activity, diet, and wellbeing in Australian adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rachel G. Curtis ◽  
Timothy Olds ◽  
François Fraysse ◽  
Dorothea Dumuid ◽  
Gilly A. Hendrie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Intervention Strategy ◽  
Temporal Patterns ◽  
Trial Registration ◽  
Multi Level

Abstract Background Almost one in three Australian adults are now obese, and the rate continues to rise. The causes of obesity are multifaceted and include environmental, cultural and lifestyle factors. Emerging evidence suggests there may be temporal patterns in weight gain related, for example, to season and major festivals such as Christmas, potentially due to changes in diet, daily activity patterns or both. The aim of this study is to track the annual rhythm in body weight, 24 h activity patterns, dietary patterns, and wellbeing in a cohort of Australian adults. In addition, through data linkage with a concurrent children’s cohort study, we aim to examine whether changes in children’s body mass index, activity and diet are related to those of their parents. Methods A community-based sample of 375 parents aged 18 to 65 years old, residing in or near Adelaide, Australia, and who have access to a Bluetooth-enabled mobile device or a computer and home internet, will be recruited. Across a full year, daily activities (minutes of moderate to vigorous physical activity, light physical activity, sedentary behaviour and sleep) will be measured using wrist-worn accelerometry (Fitbit Charge 3). Body weight will be measured daily using Fitbit wifi scales. Self-reported dietary intake (Dietary Questionnaire for Epidemiological Studies V3.2), and psychological wellbeing (WHOQOL-BREF and DASS-21) will be assessed eight times throughout the 12-month period. Annual patterns in weight will be examined using Lowess curves. Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. The associations between parent’s and children’s weight, activity and diet will be investigated using multi-level models. Discussion Temporal factors, such as day type (weekday or weekend day), cultural celebrations and season, may play a key role in weight gain. The aim is to identify critical opportunities for intervention to assist the prevention of weight gain. Family-based interventions may be an important intervention strategy. Trial registration Australia New Zealand Clinical Trials Registry, identifier ACTRN12619001430123. Prospectively registered on 16 October 2019.

Pedestrian Activity Among California Adults

2009 ◽  
Vol 6 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Anna E. Mathews ◽  
Natalie Colabianchi ◽  
Brent Hutto ◽  
Delores M. Pluto ◽  
Steve P. Hooker
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Activity Patterns ◽  
Physical Activity Promotion ◽  
Activity Level ◽  
Activity Levels ◽  
Public Health Agencies ◽  
Activity Promotion ◽  
Health Agencies ◽  
Random Digit Dial

Background:The objectives of this study were to assess (1) pedestrian activity levels among adults, (2) where and why adults engage in pedestrian activity, and (3) what adults consider when deciding where to engage in pedestrian activity.Methods:Pedestrian activity was assessed in 12,036 California adults, ≥18 years, using a random digit-dial telephone survey.Results:Significant differences were identified by race, sex, age, and physical activity level in the type, location, and purpose of pedestrian activities. Men engage in pedestrian activity at work, and women engage in pedestrian activity while escorting children to school and running errands. Whites primarily engage in leisure-time pedestrian activity, and non-whites are more likely to engage in pedestrian activity for transportation. Older adults were less active than their younger counterparts.Conclusions:These findings should be considered by public health agencies and their partners as they continue to increase and promote opportunities for pedestrian activity. Additional research is needed to assess older adults’ physical activity patterns and preferences, barriers, and facilitators to effectively tailor physical activity promotion efforts to this at-risk group.

The Relations Between Physical Activity Level, Executive Function, and White Matter Microstructure in Older Adults

2021 ◽  
pp. 1-13
Author(s):  
Marissa A. Gogniat ◽  
Catherine M. Mewborn ◽  
Talia L. Robinson ◽  
Kharine R. Jean ◽  
L. Stephen Miller
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Executive Function ◽  
White Matter ◽  
Diffusion Tensor ◽  
Vigorous Physical Activity ◽  
Neuropsychological Testing ◽  
Activity Level ◽  
Average Intensity ◽  
Age Related

The population of older adults is increasing, indicating a need to examine factors that may prevent or mitigate age-related cognitive decline. The current study examined whether microstructural white matter characteristics mediated the relation between physical activity and executive function in older adults without any self-reported psychiatric and neurological disorders or cognitive impairment (N = 43, mean age = 73 y). Physical activity was measured by average intensity and number of steps via accelerometry. Diffusion tensor imaging was used to examine microstructural white matter characteristics, and neuropsychological testing was used to examine executive functioning. Parallel mediation models were analyzed using microstructural white matter regions of interest as mediators of the association between physical activity and executive function. Results indicated that average steps was significantly related to executive function (β = 0.0003, t = 2.829, P = .007), while moderate to vigorous physical activity was not (β = 0.0007, t = 1.772, P = .08). White matter metrics did not mediate any associations. This suggests that microstructural white matter characteristics alone may not be the mechanism by which physical activity impacts executive function in aging.

scholarly journals Longitudinal Changes in Sitting Patterns, Physical Activity, and Health Outcomes in Adolescents

Children ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Ana Contardo Ayala ◽  
Jo Salmon ◽  
David Dunstan ◽  
Lauren Arundell ◽  
Kate Parker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Sitting Time ◽  
Linear Regression Models ◽  
Anthropometric Measures ◽  
Prolonged Sitting ◽  
Intensity Physical Activity ◽  
Changes Over Time

This study examined two-year changes in patterns of activity and associations with body mass index (BMI) and waist circumference (WC) among adolescents. Inclinometers (activPAL) assessed sitting, sitting bouts, standing, stepping, and breaks from sitting. ActiGraph-accelerometers assessed sedentary time (SED), light-intensity physical activity (LIPA, stratified as low- and high-LIPA), and moderate-to-vigorous physical activity (MVPA). Anthropometric measures were objectively assessed at baseline and self-reported at follow-up. Data from 324 and 67 participants were obtained at baseline and follow-up, respectively. Multilevel mixed-effects linear regression models examined changes over time, and associations between baseline values and BMI and WC at follow-up. There were significant increases in BMI (0.6 kg/m2) and durations of prolonged sitting (26.4 min/day) and SED (52 min/day), and significant decreases in stepping (−19 min/day), LIPA (−33 min/day), low-LIPA (−26 min/day), high-LIPA (−6.3 min/day), MVPA (−19 min/day), and the number of breaks/day (−8). High baseline sitting time was associated (p = 0.086) with higher BMI at follow-up. There were no significant associations between baseline sitting, prolonged sitting, LIPA, or MVPA with WC. Although changes in daily activity patterns were not in a favourable direction, there were no clear associations with BMI or WC. Research with larger sample sizes and more time points is needed.

scholarly journals Youth Physical Activity Patterns During School and Out-of-School Time

Children ◽  
2018 ◽  
Vol 5 (9) ◽  
pp. 118 ◽  
Author(s):  
Pedro Saint-Maurice ◽  
Yang Bai ◽  
Spyridoula Vazou ◽  
Gregory Welk
Keyword(s):  
Physical Activity ◽  
High School Students ◽  
Discrete Time ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
After School ◽  
Activity Levels ◽  
School Students ◽  
Time Periods ◽  
Out Of School

This study describes age, sex, and season patterns in children’s physical activity behaviors during discrete time periods, both in school and at home. Participants were 135 elementary, 67 middle, and 89 high-school students (128 boys and 163 girls) involved in a larger school activity monitoring project. We examined time spent in moderate-to-vigorous physical activity (MVPA) at recess, physical education (PE), lunch, commuting to/from school, before-school, after-school, evening, and weekend segments. Differences in MVPA by age, sex, and season were examined using a three-way analysis of variance and separately for each individual segment. Moderate-to-vigorous physical activity levels varied by context and were higher during recess (15.4 ± 8.5 min) while at school, and on Saturdays (97.4 ± 89.5 min) when youth were out-of-school. Elementary children were more active than their older counterparts only during lunch time, after-school, and Sunday (p < 0.05). Boys were consistently more active than girls at all segments. Participants were only more active during non-winter than winter months during PE (p = 0.006), after-school (p < 0.001), and Sunday (p = 0.008) segments. These findings showed that activity levels in youth vary during the day and season. The segments reflect discrete time periods that can potentially be targeted and evaluated to promote physical activity in this population.

scholarly journals The “Healthy Habits, Healthy Girls” randomized controlled trial for girls: study design, protocol, and baseline results

2015 ◽  
Vol 31 (7) ◽  
pp. 1381-1394 ◽  
Author(s):  
Ana Carolina Barco Leme ◽  
Sonia Tucunduva Philippi
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
Waist Circumference ◽  
Study Design ◽  
Controlled Trial ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Randomized Controlled ◽  
Healthy Habits ◽  
Design Protocol

The purpose of this article is to describe the study design, protocol, and baseline results of the “Healthy Habits, Healthy Girls” program. The intervention is being evaluated through a randomized controlled trial in 10 public schools in the city of São Paulo, Brazil. Data on the following variables were collected and assessed at baseline and will be reevaluated at 7 and 12 months: body mass index, waist circumference, dietary intake, nutrition, physical activity, social cognitive mediators, physical activity level, sedentary behaviors, self-rated physical status, and overall self-esteem. According to the baseline results, 32.4% and 23.4% of girls were overweight in the intervention and control groups, respectively, and in both groups a higher percentage failed to meet daily recommendations for moderate and vigorous physical activity and maximum screen time (TV, computer, mobile devices). There were no significant differences between the groups for most of the variables, except age (p = 0.000) and waist circumference (p = 0.014). The study showed a gap in the Brazilian literature on protocols for randomized controlled trials to prevent obesity among youth. The current study may thus be an important initial contribution to the field.

scholarly journals Changes in Objectively Measured Lifestyle Factors During the COVID-19 Pandemic in Community-Dwelling Older Adults

2021 ◽  
Author(s):  
Takuya Ataka ◽  
Noriyuki Kimura ◽  
Atsuko Eguchi ◽  
Etsuro Matsubara
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Wearable Sensors ◽  
Lifestyle Factors ◽  
Community Dwelling ◽  
Activity Level ◽  
Objectively Measured ◽  
Community Dwelling Older Adults

Abstract Background: In this manuscript, we aimed at investigating whether objectively measured lifestyle factors, including walking steps, sedentary time, amount of unforced physical activity, level of slight and energetic physical activity, conversation time, and sleep parameters altered before and during the COVID-19 pandemic among community-dwelling older adults.Methods: Data were obtained from a prospective cohort study conducted from 2015 to 2019 and a subsequent dementia prevention study undertaken in September 2020. Community-dwelling adults aged ≥65 years wore wearable sensors before and during the pandemic.Results: A total of 56 adults were enrolled in this study. The mean age was 74.2±3.9 years, and 58.9% (n=33) of the participants were female. The moderate and vigorous physical activity time significantly decreased and sedentary time significantly increased during the pandemic. Conclusions: This is the first study to demonstrate differences in objectively assessed lifestyle factors before and during the COVID-19 pandemic among community-dwelling older adults. The findings show that the pandemic has adversely affected physical activity among older adults living on their own in Japan.

1. The Effects of an Aerobic Exercise Intervention on Daily Activity Patterns

2016 ◽  
Author(s):  
James Bouma
Keyword(s):  
Physical Activity ◽  
Aerobic Exercise ◽  
Daily Activity ◽  
Exercise Intervention ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Low Intensity ◽  
Low Volume ◽  
Low Intensity Exercise ◽  
Daily Activity Patterns

The purpose of this study was to examine the effects of participation in an aerobic exercise intervention on daily activity occurring outside of the structured exercise sessions. Participants were randomized into one of the following 4 conditions: 1) No-exercise, 2) Low volume, low intensity exercise (LVLI), 3) High volume, low intensity exercise (HVLI), 4) Low volume, high intensity (LVHI). Physical activity was measured over 7 days with an accelerometer at baseline and during week 8 of the intervention. Activity was defined as: sedentary behaviour (SED; < 100 counts/minute), light physical activity (LPA; 100 to 1951 counts/minute), moderate-to-vigorous physical activity (MVPA; ≥1952 counts/minute), and total physical activity (TPA; LPA + MVPA). Activity was quantified as average total minutes per day of each SED, LPA, MVPA, and TPA. A one-way ANOVA was used to determine if time spent in SED, LPA, MVPA, and TPA changed from baseline to week 8. Seventy-one participants (No-exercise; n=12, LVLI n=17, HVLI n=24, LVHI; n=18,) with a mean age of 54 y and waist circumference of 110 cm completed 8 weeks of the intervention. There were no significant differences in SED, LPA, MVPA, or TPA between groups at baseline. There was no significant change in SED, LPA, MVPA, or TPA at week 8 compared to baseline (p>0.05). Similarly, there were no significant differences in activity variables between exercise conditions. Our observations suggest that daily activity patterns do not change with the implementation of an exercise intervention in men and women.

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