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Development and Validation of a Perceived Barriers to Physical Activity Scale for Low-Income Adolescents

Cheng Li, Christy Hullings, Wei Wang, and Debra M. Palmer Keenan

between PA levels and being from a minority race/ethnicity group or of low-income status. 10 Notably, the most significant differences in PA levels were attributed to “sex.” In fact, regardless of race/ethnicity, the 2017 US Youth Risk Behavior Surveillance Survey reported that approximately 35% of teen

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Racial/Ethnic Differences in Physical Activity in a Low-Income Sample in Texas

Nalini Ranjit, David J. Badillo, Deanna M. Hoelscher, Sarah Macias, Alejandra Gonzalez, and Anna V. Wilkinson

analysis showed statistically insignificant differences in meeting PA guidelines across Blacks and Whites living in the same defined low-income urban area in the Baltimore metro area. 5 Another reason that racial/ethnic differences in PA cannot be taken at face value is the lack of consistency in defining

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Park Use and Park-Based Physical Activity in Low-Income Neighborhoods

Deborah A. Cohen, Bing Han, Sujeong Park, Stephanie Williamson, and Kathryn P. Derose

park use, several studies have found that parks in low-income neighborhoods are used less than parks in higher-income neighborhoods ( Cohen et al., 2012 , 2016 ), even though time-use studies indicate that low-income groups have more leisure time ( Aguiar & Hurst, 2007 ). Some of the factors

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A Social Ecological Perspective on Physical Activity of Low-Income Older Adults in Singapore

Sapphire H. Lin

& King, 2010 ), and this can become more evident with those in the low-income group, as they rely more heavily on state welfare for their needs. This study focuses on understanding the lived experiences of health issues and physical activity participation of older adults, particularly those on the lower

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Randomized Informational Intervention and Adult Park Use and Park-Based Physical Activity in Low-Income, Racially Diverse Urban Neighborhoods

Noah Wexler, Yingling Fan, Kirti V. Das, and Simone French

penetrate for community-wide behavior changes in poor, underresourced communities. 9 , 10 Second, public parks and recreation services can provide free or low-cost PA facilities and programs at the community level that can be broadly accessible to low-income residents, potentially reducing disparities in

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The Effectiveness of Physical Activity Interventions for Low-Income and Ethnic Minority Children and Youths: A Meta-Analysis

Seung Ho Chang, Kyungun Kim, Jihyun Lee, and Sukho Lee

aged 2–19 years between 1999 and 2014. 4 Eliminating the health disparities is addressed as one of the goals of Healthy People 2010. PA behaviors among low-income and ethnic minority (LIEM) children and youths must be addressed as obesity and sedentary lifestyles in childhood frequently track into

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Feasibility and Validity of Assessing Low-Income, African American Older Adults’ Physical Activity and Sedentary Behavior Through Ecological Momentary Assessment

Jaclyn P. Maher, Kourtney Sappenfield, Heidi Scheer, Christine Zecca, Derek J. Hevel, and Laurie Kennedy-Malone

behavior and the unique barriers to participation in research, establishing the feasibility and validity of EMA to assess physical activity and sedentary behavior among low-income, racial minority older adults is necessary. This study aimed to determine the feasibility and validity of an 8-day EMA protocol

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Compliance of the 24-Hour Movement Guidelines in 9- to 11-Year-Old Children From a Low-Income Town in Chile

Marcelo Toledo-Vargas, Patricio Perez-Contreras, Damian Chandia-Poblete, and Nicolas Aguilar-Farias

self-reported and accelerometer data from Carahue, a low-income town in the south of Chile. Methods Participants A total of 258 participants from fourth to sixth grade (expected age ranges from 9 to 11 y) from schools located in rural and urban areas of Carahue, Chile, were recruited. Carahue is among

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Sedentary Behaviors and Obesity in a Low-Income, Ethnic-Minority Population

Kerem Shuval, Tammy Leonard, James Murdoch, Margaret O. Caughy, Harold W. Kohl III, and Celette Sugg Skinner

Background:

Numerous studies have documented adverse health effects from prolonged sitting and TV viewing. These sedentary pastimes are linked to increased risk for obesity and other cardiometabolic risk factors. No studies, however, have examined these associations specifically in low-income, minority communities in the US.

Methods:

This cross-sectional, community-based study was conducted in South Dallas, TX. Multivariable ordered logistic regression models were used to examine the association between sedentary behaviors (self-report) and measures of objectively assessed obesity (BMI, waist circumference).

Results:

Among a low-income, ethnic-minority population, there were independent and significant associations between higher levels of sitting time, computer use, and transit time with elevated BMI (P < .05). Elevated waist circumference was also linked to increased sitting time, computer use, and transit time, yet without statistical significance.

Conclusions:

Increased time spent in passive-leisure activities is a risk marker for obesity in this population.

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Utilizing Behavioral Economics to Understand Adherence to Physical Activity Guidelines Among a Low-Income Urban Community

Kerem Shuval, Xia Si, Binh Nguyen, and Tammy Leonard

Background:

Behavioral economics studies have found that individuals with more patient time preferences (ie, greater willingness to forgo current costs for future benefits) are more likely to save money. Although research has observed significant relationships between time preferences and health-promoting behaviors, scant evidence exists with physical activity as an outcome.

Methods:

We examined the association between monetary saving behaviors and physical activity among adults of low-income who reside in an urban community. Specifically, we assessed the relationship between saving behaviors (checking/saving account, monthly savings, and planning family finances), and future orientation to physical activity as a dichotomous (meeting guidelines) and continuous (total and domain specific) endpoint.

Results:

In multivariable regression, being future-oriented and having a checking/saving account were related to a 1.3 and 2.1 times higher (respectively) likelihood of meeting physical activity guidelines (P < .05). When examining physical activity continuously, all measures were significantly related to leisure-time activity (P < .05).

Conclusions:

Our study findings establish a relationship between future time preferences and increased levels of physical activity among low-income adults. Future research should prospectively explore the efficacy of various schemes that help individuals overcome impatient time preferences to determine a causal relationship.