scholarly journals Integrating Environmental Justice and Socioecological Models of Health to Understand Population-Level Physical Activity

2014 ◽  
Vol 46 (6) ◽  
pp. 1479-1495 ◽  
Author(s):  
Niamh K Shortt ◽  
Esther Rind ◽  
Jamie Pearce ◽  
Richard Mitchell
Keyword(s):  
Physical Activity ◽  
Environmental Justice ◽  
Population Level ◽  
Socioecological Models

Declining Physical Activity and the Socio-Cultural Context of the Geography of Industrial Restructuring: A Novel Conceptual Framework

2014 ◽  
Vol 11 (4) ◽  
pp. 683-692 ◽  
Author(s):  
Esther Rind ◽  
Andy Jones
Keyword(s):  
Physical Activity ◽  
Cultural Context ◽  
Population Level ◽  
Developed Countries ◽  
Industrial Restructuring ◽  
Activity Levels ◽  
Industrial Change ◽  
Policy And Practice ◽  
Sociocultural Processes ◽  
Employment Decline

Background:At the population level, the prevalence of physical activity has declined considerably in many developed countries in recent decades. There is some evidence that areas exhibiting the lowest activity levels are those which have undergone a particularly strong transition away from employment in physically demanding occupations. We propose that processes of deindustrialization may be causally linked to unexplained geographical disparities in levels of physical activity. While the sociocultural correlates of physical activity have been well studied, and prior conceptual frameworks have been developed to explain more general patterns of activity, none have explicitly attempted to identify the components of industrial change that may impact physical activity.Methods:In this work we review the current literature on sociocultural correlates of health behaviors before using a case study centered on the United Kingdom to present a novel framework that links industrial change to declining levels of physical activity.Results:We developed a comprehensive model linking sociocultural correlates of physical activity to processes associated with industrial restructuring and discuss implication for policy and practice.Conclusions:A better understanding of sociocultural processes may help to ameliorate adverse health consequences of employment decline in communities that have experienced substantial losses of manual employment.

scholarly journals Population-Based Estimates of Physical Activity for Adults with Type 2 Diabetes: A Cautionary Tale of Potential Confounding by Weight Status

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Ronald C. Plotnikoff ◽  
Steven T. Johnson ◽  
Constantinos A. Loucaides ◽  
Adrian E. Bauman ◽  
Nandini D. Karunamuni ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Weight Status ◽  
Large Population ◽  
Population Sample ◽  
Population Level ◽  
Activity Levels ◽  
Healthy Weight ◽  
Physical Activity Levels

At a population level, the method used to determine those meeting physical activity guidelines has important implications, as estimating “sufficient” physical activity might be confounded by weight status. The objective of this study was to test the difference between three methods in estimating the prevalence of “sufficient activity” among Canadian adults with type 2 diabetes in a large population sample (N=1614) while considering the role of weight status as a potential confounder. Our results revealed that estimates of physical activity levels vary by BMI categories, depending on the methods examined. Although physical activity levels were lower in the obese, their energy expenditure estimates were not different from those who were overweight or of a healthy weight. The implications of these findings are that biased estimates of physical activity at a population level may result in inappropriate classification of adults with type 2 diabetes as “sufficiently active” and that the inclusion of body weight in estimating physical activity prevalence should be approached with caution.

Determining the Long-Term Effectiveness of a Group-Based Physical Activity Program

2018 ◽  
Vol 20 (3) ◽  
pp. 401-408
Author(s):  
Anamica Batra ◽  
Richard C. Palmer ◽  
Elena Bastida ◽  
H. Virginia McCoy ◽  
Hafiz M. R. Khan
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Healthy Aging ◽  
Population Level ◽  
The United States ◽  
South Florida ◽  
Community Based ◽  
Evidence Based Programs ◽  
The Impact

Objective. In 2015, only half (48%) of older adults in the United States (≥60 years) reported engaging in any kind of physical activity. Few studies examine the impact of evidence-based programs when adopted in community-based settings. The purpose of this study is to assess the effectiveness of EnhanceFitness (EF) upto 12-months. Method. EF was offered to older adults in South Florida. A total of 222 EF classes were offered between October 2008 and December 2014. Program consisted of a 1-hour session held three times a week. Even though participation was required for 4 months, 1,295 participants continued the program for at least 1 year. Results. All participants showed significant improvement in outcome measures. A mean change of 1.5, 1.7, and 1.9 was seen in number of chair stands at 4, 8, and 12 months (p < .001), respectively. The number of arm curls performed improved from 16.8 at baseline to 18.8, 18.8, and 19.2 at 4-, 8-, and 12-months, respectively. Participants improved their up-and-go time by decreasing from 9.1 (baseline) to 8.7 (4 months) to 8.6 (12 months; p = .001). Discussion. Randomized controlled trials are commonly used to determine the efficacy of an intervention. These interventions when disseminated at the population level have the potential to benefit large masses. EF is currently offered at more than 700 locations. This tremendous success of EF brings attention to an important question of continuous monitoring of these programs to ensure program consistency and intended outcomes. The model used by the Healthy Aging Regional Collaborative could be replicated by other communities.

scholarly journals Longer, More Active Commute, but Still not Very Active: Five-Year Physical Activity and Travel Behavior Change in a University Population

2019 ◽  
Vol 16 (13) ◽  
pp. 2420
Author(s):  
Lina Engelen ◽  
Erika Bohn-Goldbaum ◽  
Melanie Crane ◽  
Martin Mackey ◽  
Chris Rissel
Keyword(s):  
Physical Activity ◽  
Travel Behavior ◽  
Online Survey ◽  
Population Level ◽  
Active Travel ◽  
Physical Activity Monitoring ◽  
University Population ◽  
The University ◽  
Active Commute ◽  
Insight Into

Active travel can support the achievement of recommended levels of physical activity. Monitoring travel behavior of university students and staff provides a useful insight into patterns of regional travel and population level changes in physical activity. This study sought to evaluate current travel and physical activity behaviors in a university population and to determine whether these changed over time. An online survey of travel behavior and physical activity was conducted at the University of Sydney, Australia. The survey was actively promoted for three weeks prior to the release of the survey among staff and students, which asked about travel behavior on a specific day in September 2017. The survey questions were the same as those used in a similar online survey conducted across the University in 2012. In total, 4359 People completed the survey, representing 10.8% of staff and 4.1% of students. Approximately two thirds of survey respondents were students, in both the 2012 and 2017 surveys. Compared with 2012, there was an increase in active travel to the University in 2017 from increased walking and train travel. Compared to 2012, in 2017 there was an increase in average minutes walked by about nine minutes, and less time spent sitting. Trip lengths increased, with 68% of trips taking longer than 30 min in 2017. The amount of time spent in low–moderate levels physical activity increased between 2012 and 2017, potentially related to active travel behavior. Citywide changes towards a system-wide transport fare structure was the biggest change in the transport environment between the two surveys and may have contributed to increased train travel.

scholarly journals The prevalence of cardiometabolic multimorbidity and its association with physical activity, diet, and stress in Canada: evidence from a population-based cross-sectional study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Brodie M. Sakakibara ◽  
Adebimpe O. Obembe ◽  
Janice J. Eng
Keyword(s):  
Physical Activity ◽  
Heart Disease ◽  
Fruits And Vegetables ◽  
Lifestyle Modification ◽  
Reference Group ◽  
High Stress ◽  
Population Level ◽  
Health Concern ◽  
Cross Sectional ◽  
Lifestyle Behaviours

Abstract Background Cardiometabolic multimorbidity (CM) is defined as having a diagnosis of at least two of stroke, heart disease, or diabetes, and is an emerging health concern, but the prevalence of CM at a population level in Canada is unknown. The objectives of this study were to quantify the: 1) prevalence of CM in Canada; and 2) association between CM and lifestyle behaviours (e.g., physical activity, consumption of fruits and vegetables, and stress). Methods Using data from the 2016 Canadian Community Health Survey, we estimated the overall and group prevalence of CM in individuals aged ≥50 years (n = 13,226,748). Multiple logistic regression was used to quantify the association between CM and lifestyle behaviours compared to a group without cardiometabolic conditions. Results The overall prevalence of CM was 3.5% (467,749 individuals). Twenty-two percent (398,755) of people with diabetes reported having another cardiometabolic condition and thus CM, while the same was true for 32.2% (415,686) of people with heart disease and 48.4% (174,754) of stroke survivors. 71.2% of the sample reported eating fewer than five servings of fruits and vegetables per day. The odds of individuals with CM reporting zero minutes of physical activity was 2.35 [95% CI = 1.87 to 2.95] and having high stress was 1.89 [95% CI = 1.49 to 2.41] times the odds of the no cardiometabolic condition reference group. The odds of individuals with all three cardiometabolic conditions reporting zero minutes of physical activity was 4.31 [95% CI = 2.21 to 8.38] and having high stress was 3.93 [95% CI = 2.03 to 7.61]. Conclusion The number of Canadians with CM or at risk of CM is high and these individuals have lifestyle behaviours that are associated with adverse health outcomes. Lifestyle behaviours tend to diminish with increasing onset of cardiometabolic conditions. Lifestyle modification interventions focusing on physical activity and stress management for the prevention and management CM are warranted.

scholarly journals Social media captures demographic and regional physical activity

2019 ◽  
Vol 5 (1) ◽  
pp. e000567 ◽  
Author(s):  
Nina Cesare ◽  
Quynh C Nguyen ◽  
Christan Grant ◽  
Elaine O Nsoesie
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Physical Inactivity ◽  
Specific Activity ◽  
Activity Patterns ◽  
Health Behaviours ◽  
Population Level ◽  
Statistical Modelling ◽  
Men And Women ◽  
The Usa

ObjectivesWe examined the use of data from social media for surveillance of physical activity prevalence in the USA.MethodsWe obtained data from the social media site Twitter from April 2015 to March 2016. The data consisted of 1 382 284 geotagged physical activity tweets from 481 146 users (55.7% men and 44.3% women) in more than 2900 counties. We applied machine learning and statistical modelling to demonstrate sex and regional variations in preferred exercises, and assessed the association between reports of physical activity on Twitter and population-level inactivity prevalence from the US Centers for Disease Control and Prevention.ResultsThe association between physical inactivity tweet patterns and physical activity prevalence varied by sex and region. Walking was the most popular physical activity for both men and women across all regions (15.94% (95% CI 15.85% to 16.02%) and 18.74% (95% CI 18.64% to 18.88%) of tweets, respectively). Men and women mentioned performing gym-based activities at approximately the same rates (4.68% (95% CI 4.63% to 4.72%) and 4.13% (95% CI 4.08% to 4.18%) of tweets, respectively). CrossFit was most popular among men (14.91% (95% CI 14.52% to 15.31%)) among gym-based tweets, whereas yoga was most popular among women (26.66% (95% CI 26.03% to 27.19%)). Men mentioned engaging in higher intensity activities than women. Overall, counties with higher physical activity tweets also had lower leisure-time physical inactivity prevalence for both sexes.ConclusionsThe regional-specific and sex-specific activity patterns captured on Twitter may allow public health officials to identify changes in health behaviours at small geographical scales and to design interventions best suited for specific populations.

Updated National Estimates of Disparities in Physical Activity and Sports Participation Experienced by Children and Adolescents With Disabilities: NSCH 2016–2017

2020 ◽  
Vol 17 (4) ◽  
pp. 443-455 ◽  
Author(s):  
Samantha M. Ross ◽  
Ellen Smit ◽  
Joonkoo Yun ◽  
Kathleen Bogart ◽  
Bridget Hatfield ◽  
...  
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Age Groups ◽  
Sports Participation ◽  
Population Level ◽  
Physical Activity Guidelines ◽  
Intervention Point ◽  
Disability Status ◽  
National Estimates ◽  
Critical Intervention

Background: Children and adolescents with disabilities often report low levels of physical activity (PA). Estimating the magnitude of PA disparities has been previously challenged by underreporting and variability in subsampling of disability. Using the National Survey of Children’s Health, this study estimated the population-level PA disparities experienced and the association between disability status and PA engagement. Methods: Weighted prevalence of PA engagement (National Physical Activity Guidelines for Americans (2nd edition) and sports participation) was compared across disability groups for children (n = 20,867, 6–11 y) and adolescents (n = 28,651, 12–17 y) and found to be 12%. Age-stratified multivariable logistic regressions estimated the likelihood of PA engagement as a function of disability status and type, after adjusting for child and household factors. Results: Children, but not adolescents, with disabilities had significantly lower odds of being sufficiently active compared with peers without disabilities (adjusted odds ratio = 0.75; 95% confidence interval, 0.60–0.94). Across age groups, the lowest prevalence rates were observed among those experiencing function and mobility disabilities. Children and adolescents were significantly less likely to participate in sports compared with peers. Conclusion: Children with function and mobility disabilities were identified as priority subpopulations least likely to be sufficiently active. The disparity in sports participation highlights a critical intervention point for increasing PA among children with disabilities.

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