Relationships Between Self-regulation and use of Parenting Strategies for Eating and Physical Activity Behaviors Among Mexican-Heritage Mothers

It is important to understand theoretically based support behaviors that can promote healthy eating and active living among Mexican-heritage mothers. This study examined the relationship between maternal self-regulation (the capacity to plan, guide, and monitor one’s behavior flexibly in the face of changing circumstances) and use of parenting strategies among mothers residing along the Texas-Mexico border. Mothers (n = 116) were recruited from three geographic regions within Hidalgo County, Texas. A 21-item survey was administered to measure self-regulation through goal setting and limit setting. The Parenting Strategies for Eating and Activity Scale (PEAS) was used to measure parenting strategies such as limit setting, discipline, monitoring, and control. Pearson correlations and multiple linear regression analyses were used to identify relationships between self-regulation (goal setting and impulse control) and parenting strategies. Sociodemographic characteristics of mothers are also reported. On average mothers were 36 years old (SD = 7.44), married (82%), identified as Mexican (90%), and had fewer than 9 years of education (68%). Pearson correlations revealed goal setting to be positively associated with limit setting (r = .246, p \u3c .001), control (r = .203, p = .03), and monitoring (r = .336, p \u3c .001). Regression analyses revealed limit setting (β = .246, p \u3c .001), control (β = .203, p = .03), and monitoring (β = .336, p \u3c .001) as parenting strategies that were associated with goal setting (R2 = 0.12). Findings suggest that programs should include goal setting to facilitate use of parenting strategies to support healthy behaviors that promote healthy eating and physical activity. Emphasizing malleable behaviors rather than deficits in parenting strategies could allow for higher receptivity to behaviors that can promote health in a family context

Comparison of 3 accelerometer data reduction approaches, step counts, and 2 self-report measures for estimating physical activity in free-living adults

Background Accelerometers have become one of the most common methods of measuring physical activity (PA). Thus, validity of accelerometer data reduction approaches remains an important research area. Yet, few studies directly compare data reduction approaches and other PA measures in free-living samples. Objective To compare PA estimates provided by 3 accelerometer data reduction approaches, steps, and 2 self-reported estimates: Crouter's 2-regression model, Crouter's refined 2-regression model, the weighted cut-point method adopted in the National Health and Nutrition Examination Survey (NHANES; 2003-2004 and 2005-2006 cycles), steps, IPAQ, and 7-day PA recall. Methods A worksite sample (N = 87) completed online-surveys and wore ActiGraph GT1M accelerometers and pedometers (SW-200) during waking hours for 7 consecutive days. Daily time spent in sedentary, light, moderate, and vigorous intensity activity and percentage of participants meeting PA recommendations were calculated and compared. Results Crouter's 2-regression (161.8 +/- 52.3 minutes/day) and refined 2-regression (137.6 +/- 40.3 minutes/day) models provided significantly higher estimates of moderate and vigorous PA and proportions of those meeting PA recommendations (91% and 92%, respectively) as compared with the NHANES weighted cut-point method (39.5 +/- 20.2 minutes/day, 18%). Differences between other measures were also significant. Conclusions When comparing 3 accelerometer cut-point methods, steps, and self-report measures, estimates of PA participation vary substantially

Continued development of the Rural Active Living Perceived Environmental Support Scale (RALPESS): preliminary evidence for validity among American Indians

Introduction: Much of the US adult population does not engage in regular physical activity or meet the recommended guidelines for exercise. Moreover, many rural Americans disproportionately experience lower health status and life expectancy attributed to obesity, poor diet, and lack of physical activity. Evidence supports the role of perceived physical and social-environmental factors as potential influencers of exercise. However, measurement of these influencers, particularly within diverse, rural populations, has been sparse. A substantial number of American Indians live in federally defined rural areas, and many rural American Indians are at elevated risk for being overweight and obese due to physical inactivity. Therefore, this study established the validity and reliability of the Rural Active Living Perceived Environmental Support Scale (RALPESS) within a predominantly rural American Indian sample. Methods: In this cross-sectional pilot study, the 33-item RALPESS was administered to 130 adults, across 19 rural localities within Oklahoma, who were recruited from community events hosted by local partners of the tribal Head Start program. Confirmatory factor analysis was used to examine the hypothesized factor structure of the RALPESS. Results: Confirmatory factor analysis showed an adequate fit between the hypothesized model and the data. Analyses produced an acceptable $X^2$ goodness of fit index with two degrees of freedom. The comparative fit index and parsimony goodness of fit index were acceptable. The root mean square error of approximation and its 90% confidence interval were also acceptable. Overall, the RALPESS showed suitable internal consistency for the full measure and its subscales, resulting in Cronbach’s alpha between 0.82 and 0.96. Conclusions: This pilot study produced confirmatory evidence that the RALPESS is likely a valid and reliable tool for use with rural American Indian populations. Continued validation of this scale, particularly in international rural communities, will support further investigation into this important public health issue, and may further efforts towards the development and promotion of effective programming to increase exercise engagement

Walk@Work: an automated intervention to increase walking in university employees not achieving 10,000 daily steps

Objective. This study assessed the workday step counts of lower active

Rural Active Living Assessment (RALA) Toolkit: Codebook and Assessement Tools

The RALA Tools assess the physical environment features and amenities, town characteristics, community programs, and policies that can affect physical activity among residents in rural communities. This tool is suitable for both practitioners and researchers. The tools include a RALA Codebook that provides users with a practical and simple guide for implementing the tool in rural communities across the U.S. The RALA tools include three separate components: 1) Town-Wide (18 town characteristic questions, and inventory of 15 recreational amenities), 2) Program and Policy (20 questions), and 3) Street Segment (28 questions) Assessments. These three assessment instruments are designed to be used together and provide a comprehensive measure addressing many of the unique factors believed to be important to active living in rural communities. The RALA tools were developed using an evidence-informed framework and substantial input from rural residents, and they were designed to balance the needs of practitioners (e.g., user-friendliness) and researchers (e.g., reliable measures). The modules capture specific physical activity amenities, programs and policies, as well as built environment features. The RALA Codebook provides users with a practical and simple guide for implementing the tool in rural communities across the U.S

Driven to Support: Individual- and County-Level Factors Associated With Public Support for Active Transportation Policies

PURPOSE: To assess predictors of stated support for policies promoting physically active transportation. DESIGN: Cross-sectional. SETTING: US counties selected on county-level physical activity and obesity health status. PARTICIPANTS: Participants completing random-digit dialed telephone survey (n = 906). MEASURES: Survey measures assessed stated support for 5 policies to promote physically active transportation, access to active transportation facilities, and time spent in a car. County-level estimates included household car dependence and funding for bicycle-pedestrian projects. ANALYSIS: Multivariable generalized linear mixed models using binary distribution and logit link, accounting for clustering within county. RESULTS: Respondents supported policies for accommodating bicyclists and pedestrians through street improvements (89%), school active transportation programs (75%), employer-funded active commuting incentives (67%), and allocation of public funding (68%) and tax support (56%) for building and maintaining public transit. Residents spending \u3e 2 h/d (vs \u3c 0.7 hours) in cars were more likely to support street (odds ratio [OR]: 1.87; confidence interval [CI]: 1.09-3.22) and public transit (OR: 1.85; CI: 1.24-2.77) improvements. Residents in counties investing \u3e $1.6 million in bicycle and pedestrian improvements expressed greater support for funding (OR: 1.71; CI: 1.04-2.83) and tax increases (OR: 1.73; CI: 1.08-2.75) for transit improvements compared to those with lower prior investments ( \u3c$276 100). CONCLUSION: Support for policies to enable active transportation is higher where relevant investments in active transportation infrastructure are large ( \u3e $1.6 M), public transit is nearby, and respondents drive \u3e 2 h/d