Who chooses "healthy" meals? An analysis of lunchtime meal quality in a workplace cafeteria.

BACKGROUND: The workplace can play an important role in shaping the eating behaviors of U.S. adults. Unfortunately, foods obtained in the workplace tend to be low in nutritional quality. Questions remain about the best way to approach the promotion of healthy food purchases among employees and to what extent health promotion activities should be tailored to the demographic characteristics of the employees. The purpose of this study was to (1) assess the nutritional quality of lunchtime meal purchases by employees in cafeterias of a large organization, (2) examine associations between lunchtime meal quality selection and the demographic characteristics of employees, and (3) determine the healthfulness of foods and beverages offered in the cafeterias of this organization. METHODS: A cross-sectional analysis was conducted using secondary data from a food labeling study implemented in three worksite cafeterias. Demographic data was collected via surveys and meal data was collected using a photo capture system for 378 participants. The Healthy Eating Index 2015 (HEI-2015) was used to determine meal quality and a total score for the menu of options available in the cafeterias during the study period. Summary statistics were generated, and the analysis of variance (ANOVA) was used to compare the HEI-2015 scores between groups. RESULTS: The mean HEI-2015 total score for the menu items offered (n = 1,229) in the cafeteria during the study period was 63.1 (SD = 1.83). The mean HEI-2015 score for individual lunchtime meal observations (n = 378) was 47.1 (SD = 6.8). In general, HEI-2015 total scores were higher for non-smokers, individuals who self-identified as Asian, had higher physical activity levels, scored higher on numeracy and literacy assessments, and reported higher education levels, incomes, and health status. CONCLUSIONS: The overall HEI-2015 scores indicate that the menu of options offered in the cafeterias and individual meal selections did not align with the Dietary Guidelines for Americans, and there were significant associations between average lunchtime meal quality scores and several demographic characteristics. These results suggest that healthy eating promotion activities in workplaces may need to be tailored to the demographic characteristics of the employees, and efforts to improve the food environment in the workplace could improve meal quality for all employees.

Effect of an mHealth intervention on physical activity outcomes among young adult cancer survivors: The IMPACT randomized controlled trial.

BACKGROUND: Physical inactivity is common in young adult cancer survivors (YACS), but evidence regarding effects of physical activity (PA) interventions among YACS is limited. The IMproving Physical Activity after Cancer Treatment (IMPACT) trial evaluated a theory-based mobile PA intervention on total PA minutes/week (primary) and secondary outcomes (moderate-to-vigorous PA [MVPA], light PA, steps, sedentary behaviors) at 6 months in YACS. METHODS: YACS (N = 280) were randomized to an intervention group or self-help group. All participants received digital tools (activity tracker, smart scale, access to arm-specific Facebook group) and an individual video chat session. Intervention participants also received a 6-month program with behavioral lessons, adaptive goal-setting, tailored feedback, tailored text messages, and Facebook prompts. PA was assessed via accelerometry and questionnaires at baseline and 6 months. Generalized estimating equation analyses tested between-group differences in changes over time. RESULTS: Of 280 YACS, 251 (90%) completed the 6-month accelerometry measures. Accelerometer-measured total PA minutes/week changed from 1974.26 at baseline to 2024.34 at 6 months in the intervention (mean change, 55.14 [95% CI, -40.91 to 151.19]) and from 1814.93 to 1877.68 in the self-help group (40.94 [95% CI, -62.14 to 144.02]; between-group p = .84). Increases in MVPA were +24.67 minutes/week (95% CI, 14.77-34.57) in the intervention versus +11.41 minutes/week in the self-help (95% CI, 1.44-21.38; between-group p = .07). CONCLUSION: Although the intervention did not result in significant differences in total PA, the increase in MVPA relative to the self-help group might be associated with important health benefits. Future research should examine moderators to identify for whom, and under what conditions, the intervention might be effective. CLINICALTRIALS: gov Identifier: NCT03569605. PLAIN LANGUAGE SUMMARY: Physical inactivity is common in young adult cancer survivors. However, few interventions have focused on helping young adult cancer survivors to get more physical activity. The IMproving Physical Activity after Cancer Treatment trial compared a mobile health physical activity intervention with a self-help group on total amount of physical activity at 6 months in a nationwide sample of young adult cancer survivors. Intervention participants did not improve their total amount of physical activity, but they did increase their moderate-to-vigorous intensity physical activity by twice as much as the self-help participants. This increase in activity may be associated with health benefits.

Multi-State Implementation of Go NAPSACC to Support Healthy Practices in the Early Care and Education Setting.

Childhood obesity in the United States is a serious problem that puts children at risk for poor health. Effective state-wide interventions are needed to address childhood obesity risk factors. Embedding evidence-based initiatives into state-level Early Care and Education (ECE) systems has the potential to improve health environments and promote healthy habits for the 12.5 million children attending ECE programs. Go NAPSACC, an online program that was adapted from an earlier paper version of Nutrition and Physical Activity Self-Assessment for Child Care (NAPSACC or NAP SACC), provides an evidence-based approach that aligns with national guidance from Caring for Our Children and the Centers for Disease Control and Prevention. This study describes approaches undertaken across 22 states from May 2017 to May 2022 to implement and integrate Go NAPSACC into state-level systems. This study describes challenges encountered, strategies employed, and lessoned learned while implementing Go NAPSACC state-wide. To date, 22 states have successfully trained 1,324 Go NAPSACC consultants, enrolled 7,152 ECE programs, and aimed to impact 344,750 children in care. By implementing evidence-based programs, such as Go NAPSACC, ECE programs state-wide can make changes and monitor progress on meeting healthy best practice standards, increasing opportunities for all children to have a healthy start.

Partner and Relationship Predictors of Longitudinal Physical Activity Trajectories Among Individuals with Osteoarthritis Using Latent Class Growth Analysis.

BACKGROUND: Physical activity reduces osteoarthritis symptoms, yet many individuals with the disease are insufficiently active. PURPOSE: We identified physical activity trajectories over 12 months of individuals with osteoarthritis and examined how their cohabiting spouses'/partners' baseline physical activity and relationship factors affected trajectory membership. METHODS: In this longitudinal observational study, we collected data from 168 adults with knee/hip osteoarthritis. We used latent class growth curve analysis to identify physical activity trajectories and logistic regression to predict trajectory membership using partners' physical activity, relationship satisfaction, and communal coping (belief that both partners are responsible for osteoarthritis management). Measures, including objectively assessed physical activity, were collected at baseline from the couple, who then received an educational class on physical activity and social support. Objectively assessed physical activity was also collected from individuals with osteoarthritis at 1 week, 3 months, 6 months, and 12 months post-baseline. RESULTS: Three trajectories were identified: stable active, increaser, and stable sedentary (24%, 40%, 37% of participants, respectively). Individuals with osteoarthritis with partners who were more active and who believed they alone were responsible for their osteoarthritis were more likely to follow the stable active (versus stable sedentary) trajectory. Those with partners who were less active and had higher relationship satisfaction were more likely to follow the increaser (vs. stable active) trajectory. CONCLUSIONS: Findings demonstrate the importance of considering partner and relationship factors in physical activity interventions for couples.

Accelerometer-Based Physical Activity Patterns and Associations With Outcomes Among Individuals With Osteoarthritis.

BACKGROUND: This study examined patterns of physical activity and associations with pain, function, fatigue, and sleep disturbance among individuals with knee or hip osteoarthritis. METHODS: Participants (n = 54) were enrolled in a telephone-based physical activity coaching intervention trial; all data were collected at baseline. Self-reported measures of pain and function (WOMAC [Western Ontario and McMaster Universities Osteoarthritis Index] subscales), fatigue (10-point numeric rating scale), and PROMIS (Patient-Reported Outcomes Information System) Sleep Disturbance were collected via telephone. Accelerometers were mailed to participants and were worn for at least 3 days. Proportion of time participants spent in sedentary behavior during the morning (from wake until 12:00 pm), afternoon (12:00 pm until 5:59 pm) and evening (6:00 pm until sleep) each day was averaged across all days of wear. Pearson correlations assessed associations between activity and self-reported measures. RESULTS: Participants spent a large proportion of time in sedentary behavior: 65.6% of mornings, 70.0% of afternoons, and 76.6% of evenings. Associations between proportion of time spent in sedentary behavior and reported outcomes were generally strongest in the afternoon, strongest for WOMAC function, and lowest for PROMIS Sleep Disturbance. In the evening hours, sedentary time was most strongly associated with fatigue. CONCLUSIONS: Overall, findings stress the importance of reducing sedentary behavior among adults with osteoarthritis and suggest behavioral interventions may be strengthened by considering patients' within-day variation in symptoms and activity.

Lessons From the Feasibility Testing of a Parent-Focused, Life Skills-Based Intervention to Prevent Obesity in Preschoolers From Underserved Families.

This article describes lessons from the feasibility testing of a parent-focused, life skills-based intervention to promote healthy weight in 58 low-income children aged 2 to 5 years. This intervention was feasible and acceptable, with a potential to impact child weight and diet (calories) and parental quality of life (QOL). The group delivery approach through a partnering organization (Head Start) was a more efficient way to reach/engage parents. Compared with one-on-one sessions, the group could provide an avenue to enhance parental psychosocial well-being, given QOL improvements among parents in group sessions. Lessons will inform future research to test the effectiveness of life skills interventions.

Results of caring and reaching for health (CARE): a cluster-randomized controlled trial assessing a worksite wellness intervention for child care staff.

BACKGROUND: Child care workers are among the lowest paid US workers and experience a wide array of health concerns. The physical and mental demands of their job and the lack of employer-provided health-insurance increase health risks. The Caring and Reaching for Health (CARE) study evaluated a 6-month Healthy Lifestyles intervention targeting child care workers' physical activity (primary outcome), other health behaviors, and their workplace health environment. METHODS: Eligible child care centers, defined as being in operation for at least 2 years and employing at least four staff, were enrolled into CARE's cluster-randomized trial. Centers and their child care staff were randomly assigned to either the Healthy Lifestyles (HL) intervention arm or the Healthy Finances (HF) attention control arm using a block randomization approach. Intervention components were delivered through in-person workshops, center-level displays, informational magazines, director coaching, electronic messaging, and an interactive website. Outcome measures were collected during center visits at baseline and immediately post-intervention by trained data collectors blinded to center arm assignment. Workers' physical activity was assessed with accelerometers, worn for 7 days. Secondary outcome measures included biometric assessments of health and fitness, web-based surveys about health behaviors, and an environmental audit of workplace supports for health. Multi-level linear mixed models assessed worker- and center-level changes in these outcomes. RESULTS: Participants included 553 child care workers representing 56 centers (HL = 250 staff/28 centers, HF = 303 staff/28 centers). At 6 months, moderate-to-vigorous physical activity declined slightly in both arms (- 1.3 min/day, 95% CI: - 3.0, 0.3 in HL; - 1.9 min/day, 95% CI: - 3.3, - 0.5 in HF), but there was no significant group by time interaction. Several secondary outcomes for other health behaviors and workplace health environment showed improvements in favor of the intervention arm, yet differences did not remain statistically significant after adjustment for multiple comparisons. CONCLUSIONS: While the Healthy Lifestyles intervention did not improve health behaviors or the workplace health environment, results confirmed the pressing need to focus on the health of child care workers. Future interventions should focus on prevalent health issues (e.g., weight, stress), include both high-tech and high-touch intervention strategies, and address work conditions or other social determinants of health (e.g. wages) as a means of improving the health of these essential workers. TRIAL REGISTRATION: Care2BWell: Worksite Wellness for Child Care (NCT02381938).

Keys to healthy family child care homes: Results from a cluster randomized trial.

Early care and education settings, such as family child care homes (FCCHs), are important venues for children's health promotion. Keys to Healthy Family Child Care Homes evaluated a FCCH-based intervention's impact on children's diet and physical activity. This study enrolled 496 children aged 1.5-4 years and 166 FCCH providers into a cluster-randomized control trial (intervention = 242 children/83 FCCHs, control = 254 children/83 FCCHs) conducted during 2013-2016. The 9-month intervention addressed provider health, health of the FCCH environment, and business practices, and was delivered through three workshops, three home visits, and nine phone calls. The attention control arm received a business-focused intervention. Primary outcomes were children's diet quality (2 days of observed intakes summarized into Healthy Eating Index scores) and moderate to vigorous physical activity (3 days of accelerometry) at the FCCH. Secondary outcomes were child body mass index (BMI), FCCH provider health behaviors, and FCCH nutrition and physical activity environments and business practices. Repeated measures analysis, using an intent-to-treat approach, accounting for clustering of children within FCCHs and adjusting for child age, sex, and BMI, was used to evaluate change (completed in 2018). Compared to controls, intervention children significantly improved their diet quality (5.39, p = .0002, CI = 2.53, 8.26) but not MVPA (0.31, p = .195, CI = -0.16, 0.79). Intervention FCCH providers significantly improved their diet quality and several components of their FCCH environment (i.e., time provided for physical activity, use of supportive physical activity practices, and engagement in nutrition and physical activity education/professional development). FCCHs are malleable settings for health promotion, especially diet quality. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.govNCT01814215.

Osteoarthritis physical activity care pathway (OA-PCP): results of a feasibility trial.

BACKGROUND: To obtain information on feasibility and acceptability, as well as preliminary data on efficacy, of an Osteoarthritis Physical activity Care Pathway (OA-PCP). METHODS: This was a single group pilot study involving 60 participants with symptomatic, physician diagnosed knee or hip OA, recruited from primary care clinics. Participants self-reported completing less than 150 min per week of moderate-to-vigorous physical activity (MVPA) at baseline. The 3-month OA-PCP intervention involved 3 physical activity (PA) coaching calls (focused on goal setting), three check-in emails and linkage with community-based or online resources to support PA. Efficacy outcomes were collected at baseline and 4-month follow-up. The primary efficacy outcome was minutes of MVPA, assessed via accelerometer. Secondary outcomes included minutes of light intensity activity, sedentary minutes, step counts, and Western Ontario and McMaster Universities (WOMAC) pain and function subscales. Participants were also asked to rate the helpfulness of the OA-PCP intervention on a scale of 0-10. Differences in efficacy outcomes between baseline and 4-month follow-up were assessed using paired t-tests. RESULTS: Among participants beginning the study, 88% completed follow-up assessments and ≥ 90% completed each of the intervention calls. Average daily minutes of MVPA was 8.0 at baseline (standard deviation (SD) = 9.9) and 8.9 at follow-up (SD = 12.1, p = 0.515). There were no statistically significant changes in light intensity activity, sedentary time or step counts. The mean WOMAC pain score improved from 8.1 (SD = 3.6) at baseline to 6.2 (SD = 3.8) at follow-up (p < 0.001); the mean WOMAC function score improved from 26.2 (SD = 13.2) to 20.2 (SD = 12.5; p < 0.001). The mean rating of helpfulness was 7.6 (SD = 2.5). CONCLUSIONS: Results supported the feasibility and acceptability of the study, and participants reported clinically relevant improvements in pain and function. PA metrics did not improve substantially. Based on these results and participant feedback, modifications including enhanced self-monitoring are being made to increase the impact of the OA-PCP intervention on PA behavior. TRIAL REGISTRATION: NCT03780400, December 19, 2018.

Physical activity calorie expenditure (PACE) labels in worksite cafeterias: effects on physical activity.

BACKGROUND: Regular physical activity is an important component of healthy living and wellbeing. Current guidelines recommend that adults participate in at least 150 min of moderate or vigorous-intensity physical activity weekly. In spite of the benefits, just over half of U.S. adults meet these recommendations. Calorie-only food labels at points of food purchase have had limited success in motivating people to change eating behaviors and increase physical activity. One new point of purchase approach to promote healthy behaviors is the addition of food labels that display the physical activity requirement needed to burn the calories in a food item (e.g. walk 15 min). METHODS: The Physical Activity Calorie Expenditure (PACE) Study compared activity-based calorie-expenditure food labels with calorie-only labels at three Blue Cross and Blue Shield of North Carolina worksite cafeterias. After 1 year of baseline data collection, one cafeteria had food items labeled with PACE labels, two others had calorie-only food labels. Cohort participants were asked to wear an accelerometer and complete a self-report activity questionnaire on two occasions during the baseline year and twice during the intervention year. RESULTS: A total of 366 study participants were included in the analysis. In the PACE-label group, self-reported physical activity increased by 13-26% compared to the calorie-only label group. Moderate-to-vigorous physical activity (MVPA) increased by 24 min per week in the PACE-label group compared to the calorie-label group (p = 0.06). Changes in accelerometer measured steps, sedentary time, and MVPA had modest increases. Change ranged from 1 to 12% with effect size values from 0.08 to 0.15. Baseline physical activity level significantly moderated the intervention effects for all physical activity outcomes. Participants in both label groups starting in the lowest tertile of activity saw the largest increase in their physical activity. CONCLUSION: Results suggest small positive effects for the PACE labels on self-reported and objective physical activity measures. Minutes of weekly MVPA, strength training, and exercise activities showed modest increases. These results suggest that calorie-expenditure food labels may result in some limited increases in physical activity.

Effect of calories-only vs physical activity calorie expenditure labeling on lunch calories purchased in worksite cafeterias.

BACKGROUND: Calorie labeling on restaurant menus is a public health strategy to guide consumer ordering behaviors, but effects on calories purchased have been minimal. Displaying labels communicating the physical activity required to burn calories may be a more effective approach, but real-world comparisons are needed. METHODS: In a quasi-experimental study, we examined the effect of physical activity calorie expenditure (PACE) food labels compared to calorie-only labels on point-of-decision food purchasing in three worksite cafeterias in North Carolina. After a year of quarterly baseline data collection, one cafeteria prominently displayed PACE labels, and two cafeterias prominently displayed calorie-only labels. Calories from foods purchased in the cafeteria during lunch were assessed over 2 weeks every 3 months for 2 years by photographs of meals. We compared differences in purchased calorie estimates before and after the labeling intervention was introduced using longitudinal generalized linear mixed model regressions that included a random intercept for each participant. RESULTS: In unadjusted models comparing average meal calories after vs before labeling, participants exposed to PACE labels purchased 40.4 fewer calories (P = 0.002), and participants exposed to calorie-only labels purchased 38.2 fewer calories (P = 0.0002). The small difference of 2 fewer calories purchased among participants exposed to PACE labeling vs calorie-only labeling was not significant (P = 0.90). Models adjusting for age, sex, race, occupation, numeracy level, and health literacy level did not change estimates appreciably. CONCLUSION: In this workplace cafeteria setting, PACE labeling was no more effective than calorie-only labeling in reducing lunchtime calories purchased.

The Role of Cohabitating Partner and Relationship Characteristics on Physical Activity among Individuals with Osteoarthritis.

BACKGROUND: Most individuals with knee or hip osteoarthritis do not meet recommendations for physical activity. The Social Cognitive Theory suggests that the social environment (e.g., spouses/partners) may influence the physical activity of individuals with osteoarthritis. The purpose of this study was to examine whether the physical activity of insufficiently active, coupled adults with osteoarthritis was associated with received partner support for physical activity, partner's engagement in physical activity, and relationship satisfaction. METHODS: Cross-sectional data from 169 couples were collected. Accelerometers estimated moderate-to-vigorous physical activity and daily steps for participants with osteoarthritis and their partners. Participants with osteoarthritis reported total received partner support for physical activity and relationship satisfaction. RESULTS: Participants with osteoarthritis were on average 65 years old, 65% female, 86% non-Hispanic white, and 47% retired. Receiving total partner support more frequently was associated with more minutes of moderate-to-vigorous physical activity but not with steps. Relationship satisfaction moderated the association of partner's physical activity on the daily steps of individuals with osteoarthritis such that having a partner who accomplished more daily steps was associated with participants with osteoarthritis accomplishing more daily steps themselves when they reported greater relationship satisfaction. CONCLUSIONS: Partners and relationship satisfaction may play an important role in the physical activity of individuals with osteoarthritis. Interventions seeking to increase physical activity in this population may be enhanced by promoting partner support. Additional research is needed to further explain these associations within the context of relationship satisfaction.

The quality of nutrition and physical activity environments of child-care centers across three states in the southern U.S.

This cross-sectional study assessed the quality of nutrition and physical activity environments of child-care centers in three southern states and examined differences by rural versus urban location, participation in the Child and Adult Care Food Program, and Head Start status. The sample included 354 centers that enroll children aged 2-5: 154 centers from Georgia, 103 from Kentucky, and 97 centers from Mississippi. Directors and 1-2 teachers per center completed the Environment and Policy Assessment and Observation Self-Report (EPAO-SR) tool that assesses nutrition and physical activity environments of child-care centers. The EPAO-SR items were scored to capture six nutrition domains and six physical activity domains that were averaged and then summed to create a combined nutrition and physical activity environment score (range = 0-36); higher scores indicated that centers met more best practices, which translated to higher-quality environments. Overall, the centers had an average combined nutrition and physical activity environment score of 20.2 out of 36. The scores did not differ between rural and urban centers (mean = 20.3 versus 20.2, p = 0.98). Centers in the Child and Adult Care Food Program had higher combined nutrition and physical activity environment scores than non-participating centers (mean = 20.6 versus 19.1, p < 0.01). Head Start centers also had higher combined environment scores than non-Head Start centers (mean = 22.3 versus 19.6, p < 0.01). Findings highlight the vital role of federal programs in supporting healthy child-care environments. Providing technical assistance and training to centers that are not enrolled in well-regulated, federally-funded programs might help to enhance the quality of their nutrition and physical activity environments.

Physical Activity and Sedentary Behaviors of Children in Family Child Care Homes: Are There Opportunities for Improvement?

PURPOSE: Many children attend family child care homes (FCCHs), an important setting to influence children's physical activity (PA) and sedentary behavior (SB). This study assessed children's PA and SB while in FCCHs, characteristics of the FCCH PA environment, and relationships between the environment and child PA and SB. METHOD: Children ages 1.5-4.0 years (n = 495) were recruited from 165 FCCHs in North Carolina. Children's moderate to vigorous PA and SB were measured via accelerometry for 3 days. FCCH PA environments were assessed over 2 days using the Environment and Policy Assessment and Observation for FCCHs. Ten subscores and an overall PA environment score (possible range: 0-30) were calculated; higher scores indicate better quality. RESULTS: Children accumulated 30 (13) minutes of moderate to vigorous PA and 143 (42) minutes of SB in FCCHs daily. FCCHs scored low on the Environment and Policy Assessment and Observation for FCCHs, with an average overall score of 13 (2). FCCHs scored highest on screen time and screen time practices subscores, and lowest on PA education/professional development and PA policy subscores. Although no statistically significant associations were observed, some large Cohen d effect sizes were noted (eg, outdoor playtime subscore and moderate to vigorous PA). CONCLUSIONS: This study highlights opportunities to improve FCCHs and increase children's behaviors (eg, providing adequate time and outdoor play spaces).

Effects of physical activity calorie expenditure (PACE) labeling: study design and baseline sample characteristics.

BACKGROUND: Obesity and physical inactivity are responsible for more than 365,000 deaths per year and contribute substantially to rising healthcare costs in the US, making clear the need for effective public health interventions. Calorie labeling on menus has been implemented to guide consumer ordering behaviors, but effects on calories purchased has been minimal. METHODS: In this project, we tested the effect of physical activity calorie expenditure (PACE) food labels on actual point-of-decision food purchasing behavior as well as physical activity. Using a two-group interrupted time series cohort study design in three worksite cafeterias, one cafeteria was assigned to the intervention condition, and the other two served as controls. Calories from food purchased in the cafeteria were assessed by photographs of meals (accompanied by notes made on-site) using a standardized calorie database and portion size-estimation protocol. Primary outcomes will be average calories purchased and minutes of moderate to vigorous physical activity (MVPA) by individuals in the cohorts. We will compare pre-post changes in study outcomes between study groups using piecewise generalized linear mixed model regressions (segmented regressions) with a single change point in our interrupted time-series study. The results of this project will provide evidence of the effectiveness of worksite cafeteria menu labeling, which could potentially inform policy intervention approaches. DISCUSSION: Labels that convey information in a more readily understandable manner may be more effective at motivating behavior change. Strengths of this study include its cohort design and its robust data capture methods using food photographs and accelerometry.

National youth sedentary behavior and physical activity daily patterns using latent class analysis applied to accelerometry.

BACKGROUND: Applying latent class analysis (LCA) to accelerometry can help elucidated underlying patterns. This study described the patterns of accelerometer-determined sedentary behavior and physical activity among youth by applying LCA to a nationally representative United States (US) sample. METHODS: Using 2003-2006 National Health and Nutrition Examination Survey data, 3998 youths 6-17 years wore an ActiGraph 7164 accelerometer for one week, providing > =3 days of wear for > =8 h/day from 6:00 am-midnight. Cutpoints defined sedentary behavior (<100 counts/minute), light activity (100-2295 counts/minute), moderate to vigorous physical activity (MVPA; > = 2296 counts/minute), and vigorous activity (> = 4012 counts/minute). To account for wear time differences, outcomes were expressed as percent of day in a given intensity. LCA was used to classify daily (Monday through Sunday) patterns of average counts/minute, sedentary behavior, light activity, MVPA, and vigorous activity separately. The latent classes were explored overall and by age (6-11, 12-14, 15-17 years), gender, and whether or not youth attended school during measurement. Estimates were weighted to account for the sampling frame. RESULTS: For average counts/minute/day, four classes emerged from least to most active: 40.9% of population (mean 323.5 counts/minute/day), 40.3% (559.6 counts/minute/day), 16.5% (810.0 counts/minute/day), and 2.3% (1132.9 counts/minute/day). For percent of sedentary behavior, four classes emerged: 13.5% of population (mean 544.6 min/day), 30.1% (455.1 min/day), 38.5% (357.7 min/day), and 18.0% (259.2 min/day). For percent of light activity, four classes emerged: 12.3% of population (mean 222.6 min/day), 29.3% (301.7 min/day), 41.8% (384.0 min/day), and 16.6% (455.5 min/day). For percent of MVPA, four classes emerged: 59.9% of population (mean 25.0 min/day), 33.3% (60.9 min/day), 3.1% (89.0 min/day), and 3.6% (109.3 min/day). For percent of vigorous activity, three classes emerged: 76.8% of population (mean 7.1 min/day), 18.5% (23.9 min/day), and 4.7% (47.4 min/day). Classes were developed by age, gender, and school attendance since some patterns differed when stratifying by these factors. CONCLUSION: The models supported patterns for average intensity, sedentary behavior, light activity, MVPA, and vigorous activity. These latent class derived patterns can be used in other youth studies to explore correlates or outcomes and to target sedentary behavior or physical activity interventions.

Use of the Environment and Policy Evaluation and Observation as a Self-Report Instrument (EPAO-SR) to measure nutrition and physical activity environments in child care settings: validity and reliability evidence.

BACKGROUND: Early care and education (ECE) centers are important settings influencing young children's diet and physical activity (PA) behaviors. To better understand their impact on diet and PA behaviors as well as to evaluate public health programs aimed at ECE settings, we developed and tested the Environment and Policy Assessment and Observation - Self-Report (EPAO-SR), a self-administered version of the previously validated, researcher-administered EPAO. METHODS: Development of the EPAO-SR instrument included modification of items from the EPAO, community advisory group and expert review, and cognitive interviews with center directors and classroom teachers. Reliability and validity data were collected across 4 days in 3-5 year old classrooms in 50 ECE centers in North Carolina. Center teachers and directors completed relevant portions of the EPAO-SR on multiple days according to a standardized protocol, and trained data collectors completed the EPAO for 4 days in the centers. Reliability and validity statistics calculated included percent agreement, kappa, correlation coefficients, coefficients of variation, deviations, mean differences, and intraclass correlation coefficients (ICC), depending on the response option of the item. RESULTS: Data demonstrated a range of reliability and validity evidence for the EPAO-SR instrument. Reporting from directors and classroom teachers was consistent and similar to the observational data. Items that produced strongest reliability and validity estimates included beverages served, outside time, and physical activity equipment, while items such as whole grains served and amount of teacher-led PA had lower reliability (observation and self-report) and validity estimates. To overcome lower reliability and validity estimates, some items need administration on multiple days. CONCLUSIONS: This study demonstrated appropriate reliability and validity evidence for use of the EPAO-SR in the field. The self-administered EPAO-SR is an advancement of the measurement of ECE settings and can be used by researchers and practitioners to assess the nutrition and physical activity environments of ECE settings.

Validation of PIN 3 physical activity survey in low-income overweight and obese young mothers.

BACKGROUND: Existing physical activity surveys have not been validated for use with low-income overweight and obese young mothers. This study aimed to validate the Pregnancy Infection and Nutrition 3 (PIN3) physical activity survey and to explore whether its validity varied by race/ethnicity and body mass index (BMI) category when including or excluding child and adult care activities in the target population. METHODS: Participants were recruited from the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and were asked to fill out the PIN3 survey and wear an Actigraph accelerometer. Validity was assessed (N = 42) using Spearman correlation coefficient. RESULTS: Regardless of inclusion or exclusion of child and adult care activity, the PIN3 survey showed evidence of validity for moderate (correlation coefficients 0.33 [p = 0.03]; 0.40 [p = 0.08]) but not vigorous (-0.01 [p = 0.91]; -0.06 [p = 0.69]) physical activity. The mean minutes per week spent in moderate, vigorous and moderate-vigorous physical activity measured by the PIN3 were substantially higher than when measured by accelerometer, for example, 588 (PIN3) versus 148 (accelerometer) minutes per week. Also, correlations between self-reported and objective monitored activity varied substantially by race/ethnicity and BMI category, for example, 0.29 (p = 0.18) for overweight women versus 0.57 (p = 0.007) for obese women; 0.27 (p = 0.20) for African American versus 0.66 (p = 0.001) for white. CONCLUSIONS: The PIN3 survey may be adequate for many applications where quick and practical assessments are needed for moderate physical activity data in low-income overweight and obese young mothers. The substantial differences in mean minutes per week between the PIN3 and accelerometer may be due to over-reported physical activity by the study participants. TRIAL REGISTRATION: Clinical Trials Number: NCT01839708.

A cross-sectional study of demographic, environmental and parental barriers to active school travel among children in the United States.

BACKGROUND: Promoting daily routine physical activities, such as active travel to school, may have important health implications. Practitioners and policy makers must understand the variety of factors that influence whether or not a child uses active school travel. Several reviews have identified both inhibitors and promoters of active school travel, but few studies have combined these putative characteristics in one analysis. The purpose of this study is to examine associations between elementary school children's active school travel and variables hypothesized as correlates (demographics, physical environment, perceived barriers and norms). METHODS: The current project uses the dataset from the National Evaluation of Walk to School (WTS) Project, which includes data from 4th and 5th grade children and their parents from 18 schools across the US. Measures included monthly child report of mode of school travel during the previous week (n = 10,809) and perceived barriers and social norms around active school travel by parents (n = 1,007) and children (n = 1,219). Generalized linear mixed models (GLMM) with log-link functions were used to assess bivariate and multivariate associations between hypothesized correlates and frequency of active school travel, assuming random school effect and controlling for the distance to school. RESULTS: The final model showed that the most relevant significant predictors of active school travel were parent's perceived barriers, specifically child resistance (Estimate = -0.438, p < 0.0001) and safety and weather (Estimate = -0.0245, p < 0.001), as well as the school's percentage of Hispanic students (Estimate = 0.0059, p < 0.001), after adjusting for distance and including time within school cluster as a random effect. CONCLUSIONS: Parental concerns may be impacting children's use of active school travel, and therefore, future interventions to promote active school travel should more actively engage parents and address these concerns. Programs like the Walk to School program, which are organized by the schools and can engage community resources such as public safety officials, could help overcome many of these perceived barriers to active transport.

Examining sociodemographic and health-related characteristics as moderators of an mHealth intervention on physical activity outcomes in young adult cancer survivors.

PURPOSE: This study explored whether sociodemographic and health-related characteristics moderated mHealth PA intervention effects on total and moderate-to-vigorous physical activity (MVPA) at 6 months, relative to a self-help condition among young adult cancer survivors (YACS). METHODS: We conducted exploratory secondary analyses of data from a randomized controlled trial among 280 YACS. All participants received digital tools; intervention participants also received lessons, adaptive goals, tailored feedback, text messages, and Facebook prompts. Potential moderators were assessed in baseline questionnaires. PA was measured at baseline and 6 months with accelerometers. Linear model repeated measures analyses examined within- and between-group PA changes stratified by levels of potential moderator variables. RESULTS: Over 6 months, the intervention produced MVPA increases that were ≥ 30 min/week compared with the self-help among participants who were males (28.1 vs. -7.7, p = .0243), identified with racial/ethnic minority groups (35.2 vs. -8.0, p = .0006), had baseline BMI of 25-30 (25.4 vs. -7.2, p = .0034), or stage III/IV cancer diagnosis (26.0 vs. -6.8, p = .0041). Intervention participants who were ages 26-35, college graduates, married/living with a partner, had a solid tumor, or no baseline comorbidities had modest MVPA increases over 6 months compared to the self-help (ps = .0163-.0492). Baseline characteristics did not moderate intervention effects on total PA. CONCLUSIONS: The mHealth intervention was more effective than a self-help group at improving MVPA among subgroups of YACS defined by characteristics (sex, race, BMI, cancer stage) that may be useful for tailoring PA interventions. IMPLICATIONS FOR CANCER SURVIVORS: These potential moderators can guide future optimization of PA interventions for YACS. GOV IDENTIFIER: NCT03569605.