Barriers to Physical Activity in a Mass Transit Population: A Qualitative Study

2016 ◽  
Vol 13 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Bhibha M. Das ◽  
Steven J. Petruzzello

Background:The physical inactivity epidemic continues be one of the greatest public health challenges in contemporary society in the United States. The transportation industry is at greater risk of physical inactivity, compared with individuals in other sectors of the workforce. The aim of this study was to use the Nominal Group Technique, a focus group technique, to examine mass transit employees’ perceptions of the barriers to physical activity at their worksite.Methods:Three focus groups (n = 31) were conducted to examine mass transit employees’ perceptions of barriers to physical activity at the worksite.Results:Salient barriers included (1) changing work schedules, (2) poor weather conditions, and (3) lack of scheduled and timely breaks.Conclusions:Findings were consistent with previous research demonstrating shift work, poor weather, and lack of breaks can negatively impact mass transit employees’ ability to be physically active. Although physical activity barriers for this population have been consistent for the last 20 years, public health practice and policy have not changed to address these barriers. Future studies should include conducing focus groups stratified by job classification (eg, operators, maintenance, and clerical) along with implementing and evaluating worksite-based physical activity interventions and policy changes.

2013 ◽  
Vol 10 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Mark Swanson ◽  
Nancy E. Schoenberg ◽  
Heather Erwin ◽  
Rian E. Davis

Background:Most children in the United States receive far less physical activity (PA) than is optimal. In rural, under resourced areas of Appalachian Kentucky, physical inactivity rates are significantly higher than national levels. We sought to understand children’s perceptions of PA, with the goal of developing culturally appropriate programming to increase PA.Methods:During 11 focus groups, we explored perspectives on PA among 63 Appalachian children, ages 8−17. Sessions were tape recorded, transcribed, content analyzed, and subjected to verification procedures.Results:Several perspectives on PA emerged among these rural Appalachian youth, including the clear distinction between PA (viewed as positive) and exercise (viewed as negative) and an emphasis on time and resource factors as barriers to adequate PA. Additional PA determinants expressed in the focus groups are similar to those of other populations. We include children’s recommendations for appealing PA programs.Conclusions:Appalachian and other rural residents contend with the loss of rural health advantages (due to declines in farming/other occupational and avocational transitions). At the same time, Appalachian residents have not benefitted from urban PA facilitators (sidewalks, recreational facilities, clubs and organized leisure activities). Addressing low PA levels requires extensive community input and creative programming.


2010 ◽  
Vol 7 (1) ◽  
pp. 119-126 ◽  
Author(s):  
Tamara Vehige Calise ◽  
Sarah Martin

Background:Physical inactivity is one of the top 3 risk factors associated with an increased prevalence of obesity and other chronic diseases. The public health infrastructure positions state health departments to address physical inactivity. To examine preparedness, all 50 health departments were assessed, using the 5 benchmarks developed by CDC for physical activity and public health practice, on their capacity to administer physical activity programs.Methods:States were scored on a 5-point scale for each benchmark. The top 2 high and low scores were combined to create 2 categories. Exact Chi-square analyses were performed.Results:States with CDC obesity funding scored higher on 4 benchmarks than states without. States with a state physical activity plan scored higher on all benchmarks than states without. States with a physical activity coalition scored higher on 2 benchmarks than states without.Conclusions:At the time of the assessment, approximately 20% of state physical activity programs could have improved in the use of evidence-based strategies and planning and evaluation approaches. Furthermore, many programs seemed to have limited sustainability. The findings of this report serve as a baseline of the capacity and infrastructure of state health department physical activity programs.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Margaret M. Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  

Abstract Background Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.


2015 ◽  
Vol 24 (01) ◽  
pp. 199-206 ◽  
Author(s):  
B. E. Dixon ◽  
H. Kharrazi ◽  
H. P. Lehmann

Summary Objectives: To survey advances in public health and epidemiology informatics over the past three years. Methods: We conducted a review of English-language research works conducted in the domain of public health informatics (PHI), and published in MEDLINE between January 2012 and December 2014, where information and communication technology (ICT) was a primary subject, or a main component of the study methodology. Selected articles were synthesized using a thematic analysis using the Essential Services of Public Health as a typology. Results: Based on themes that emerged, we organized the advances into a model where applications that support the Essential Services are, in turn, supported by a socio-technical infrastructure that relies on government policies and ethical principles. That infrastructure, in turn, depends upon education and training of the public health workforce, development that creates novel or adapts existing infrastructure, and research that evaluates the success of the infrastructure. Finally, the persistence and growth of infrastructure depends on financial sustainability. Conclusions: Public health informatics is a field that is growing in breadth, depth, and complexity. Several Essential Services have benefited from informatics, notably, “Monitor Health,” “Diagnose & Investigate,” and “Evaluate.” Yet many Essential Services still have not yet benefited from advances such as maturing electronic health record systems, interoperability amongst health information systems, analytics for population health management, use of social media among consumers, and educational certification in clinical informatics. There is much work to be done to further advance the science of PHI as well as its impact on public health practice.


2021 ◽  
Vol 8 (4) ◽  
Author(s):  
Rosenda Murillo ◽  
Mariana Vazquez ◽  
Isabel Leal ◽  
Daphne Hernandez ◽  
Qian Lu ◽  
...  

Objective: The purpose of this qualitative study was to identify perceptions and barriers to physical activity in childhood and adulthood among Latina adults. Methods: We conducted 3 focus groups, 2 dyadic interviews, and an individual interview using semi-structured interview guides with 23 Latina women aged 21-35. A thematic analysis approach employing inductive and deductive coding was utilized to code, categorize, and summarize data into themes. Results: The themes that emerged focused on: (1) physical activity is enjoyable; (2) family influenced physical activity; (3) different lifestyle in the US influenced physical activity; (4) physical activity is important for health; and (5) responsibilities (eg, work, caregiving) as barriers to physical activity in adulthood. Conclusions: Perceptions and barriers to physical activity experienced in both childhood and adulthood should be considered in the promotion of physical activity among Latinas.


2021 ◽  
Author(s):  
Margaret Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  

Abstract Background: Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods: A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results: Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion: The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.


2021 ◽  
pp. e1-e7
Author(s):  
Randall L. Sell ◽  
Elise I. Krims

Public health surveillance can have profound impacts on the health of populations, with COVID-19 surveillance offering an illuminating example. Surveillance surrounding COVID-19 testing, confirmed cases, and deaths has provided essential information to public health professionals about how to minimize morbidity and mortality. In the United States, surveillance has also pointed out how populations, on the basis of geography, age, and race and ethnicity, are being impacted disproportionately, allowing targeted intervention and evaluation. However, COVID-19 surveillance has also highlighted how the public health surveillance system fails some communities, including sexual and gender minorities. This failure has come about because of the haphazard and disorganized way disease reporting data are collected, analyzed, and reported in the United States, and the structural homophobia, transphobia, and biphobia acting within these systems. We provide recommendations for addressing these concerns after examining experiences collecting race data in COVID-19 surveillance and attempts in Pennsylvania and California to incorporate sexual orientation and gender identity variables into their pandemic surveillance efforts. (Am J Public Health. Published online ahead of print June 10, 2021: e1–e7. https://doi.org/10.2105/AJPH.2021.3062727 )


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