“If my family is happy, then I am happy”: Quality-of-life determinants of parents of school-age children

Objective: Obesity is a public health concern for children and adults and effective obesity prevention programming is needed urgently. The effectiveness of health-related messaging and interventions is influenced by the way content is framed. HomeStyles is an obesity prevention program, which aims to promote health through the frame of improved quality of life. Methods: Thus, focus groups were conducted with English- and Spanish-speaking parents of school-aged children (ages 6–11) to identify key quality-of-life determinants as described by parents. Results: Parents (n = 158) reported that their quality of life was influenced by family happiness and parent and child health (e.g. adequate sleep, exercise, healthy diet). Many parents expressed that their busy schedules and lack of family time were detrimental to their quality of life. Work–life balance and financial stability were other factors commonly noted to impact quality of life. Spanish-speaking parents also reported being undocumented and feeling a lack of a sense of community negatively influenced their quality of life. Conclusion: Considering parent-defined quality-of-life determinants when framing health-related messaging and developing interventions may increase participant interest and ultimately improve health-related behaviors. Next steps in the HomeStyles project include using parent-reported quality-of-life determinants to guide the development of intervention materials

“My Tummy Tells Me” Cognitions, Barriers and Supports of Parents and School-Age Children for Appropriate Portion Sizes

Larger portion sizes have increased in tandem with the rise in obesity. Elucidation of the cognitions of children and parents related to portion size is needed to inform the development of effective obesity prevention programs. This study examined cognitions of parents (n = 36) and their school-age children (6 to 11 years; n = 35) related to portion sizes via focus group discussions. Parents and children believed controlling portion sizes promoted health and weight control. Some parents felt controlling portions was unnecessary, particularly if kids were a healthy weight because kids can self-regulate intake. Barriers to serving appropriate portions identified by parents focused largely on kids getting enough, rather than too much, to eat. Parents also identified lack of knowledge of age-appropriate portions as a barrier. Facilitators of portion control cited by parents included purchasing pre-portioned products and using small containers to serve food. Children relied on cues from parents (e.g., amount of food parent served them) and internal hunger/satiety cues to regulate intake but found it difficult to avoid overeating highly palatable foods, at restaurants, and when others were overeating. Results suggest obesity prevention interventions should aim to improve portion sizes cognitions, barrier management, and use of facilitators, in families with school-age children

The “Motor of the Day”: Parent and School-Age Children’s Cognitions, Barriers, and Supports for Breakfast

Despite the many benefits of regular breakfast consumption few parents and children consume this meal every day and research examining the determinants of breakfast consumption is limited. Thus, the purpose of this study was to examine breakfast-related cognitions (i.e., beliefs, attitudes, facilitators, barriers) of parents and school-age children (ages 6–11 years) using the constructs of Social Cognitive Theory as a guide. Parents (n = 37) and children (n = 41) participated in focus group discussions held in community settings in 3 states (FL, NJ, WV). Data were qualitatively content analyzed to detect trends. Parents felt breakfast was important for numerous reasons. Parents expressed concern about the healthfulness of some traditional breakfast options, preferring breakfasts containing mostly fruits, vegetables, and protein and fewer carbohydrates. Parents identified lack of time as the greatest barrier to breakfast consumption. To overcome this barrier, they utilized grab-and-go foods, prepared breakfast ahead of time, and got up earlier. Utilizing the school breakfast program was another strategy mentioned, however some were concerned about the nutritional quality of this option. Children recognized the importance of breakfast and cited several benefits. The greatest barrier to breakfast identified by children was feeling rushed in the morning. To overcome barriers, children suggested having a morning routine, selecting or preparing breakfast foods ahead, and relying on parents to encourage breakfast consumption. The effectiveness of interventions aiming to improve breakfast intake may be improved by addressing parent and child breakfast-related cognitions and tailoring interventions to address their needs

“Your Body Feels Better When You Drink Water”: Parent and School-Age Children’s Sugar- Sweetened Beverage Cognitions

Sugar-sweetened beverages (SSBs) are a leading source of added sugar in the American diet. Further, ingestion of added sugars from SSBs exceeds recommendations. Thus, interventions that effectively reduce SSB consumption are needed. Focus group discussions with parents (n = 37) and school-aged children between the ages of 6 and 11 years (n = 41) from Florida, New Jersey, and West Virginia were led by trained moderators using Social Cognitive Theory as a guide. Trends and themes that emerged from the content analysis of the focus group data indicated that both parents and children felt that limiting SSBs was important to health and weight control. However, parents and children reported consuming an average of 1.85 ± 2.38 SD and 2.13 ± 2.52 SD SSB servings/week, respectively. Parents and children were aware that parent behaviors influenced kids, but parents reported modeling healthy SSB behaviors was difficult. Busy schedules, including more frequent parties and events as children get older, were another barrier to limiting SSBs. Parents were most successful at limiting SSBs when they were not in the house. This qualitative research provides novel insights into parents’ and children’s cognitions (e.g., beliefs, attitudes), barriers, and facilitators related to SSB ingestion. Consideration of these insights during nutrition intervention development has the potential to improve intervention effectiveness in reducing SSB intake

Cluster randomized trial of the impact of an obesity prevention intervention on child care center nutrition and physical activity environment over two years

Objective: The prevalence of obesity among preschool-aged children in the United States remains unacceptably high. Here we examine the impact of Healthy Caregivers-Healthy Children (HC2) Phase 2, a child care center (CCC)-based obesity prevention intervention on changes in the CCC nutrition and physical activity environment over two school years. Design: This was a cluster randomized trial with 12 CCC receiving the HC2 intervention arm and 12 in the control arm. The primary outcome was change in the Environment and Policy Assessment and Observation (EPAO) tool over two school years (Fall-2015, Spring-2016 and Spring-2017). Changes in EPAO physical activity and nutrition score were analyzed via a (1) random effects mixed models and (2) mixed models to determine the effect of HC2 versus control. Setting: The study was conducted in 24 CCCs serving low-income, ethnically diverse families in Miami-Dade County. Participants: Intervention CCCs received (1) teachers/parents/children curriculum; (2) snack, beverage, physical activity, and screen time policies; and (3) menu modifications. Results: Two-year EPAO nutrition score changes in intervention CCCs were almost twice that of control CCCs. The EPAO physical activity environment scores only slightly improved in intervention CCCs versus control CCCs. Intervention CCCs showed higher combined EPAO physical activity and nutrition scores compared to control CCCs over the 2-year study period (β=0.09, P=0.05). Conclusions: Obesity prevention programs can have a positive impact on the CCC nutrition environment and can promote healthy weight in early childhood. CCCs may need consistent support to improve the physical activity environment to ensure the policies remain intact

Prevalence and Correlates of Food Insecurity Among U.S. College Students: A Multi-institutional Study

Background: College students may be vulnerable to food insecurity due to limited financial resources, decreased buying power of federal aid, and rising costs of tuition, housing, and food. This study assessed the prevalence of food insecurity and its sociodemographic, health, academic, and food pantry correlates among first-year college students in the United States. Methods: A cross-sectional study was conducted among first-year students (n = 855) across eight U.S. universities. Food security status was assessed using the U.S. Department of Agriculture Adult Food Security Survey Module. Cohen’s Perceived Stress Scale, Pittsburgh Sleep Quality Index, and Eating Attitudes Test-26 were used to assess perceived stress, sleep quality, and disordered eating behaviors, respectively. Participants self-reported their grade point average (GPA) and completed questions related to meal plan enrollment and utilization of on-campus food pantries. Results: Of participating students, 19% were food-insecure, and an additional 25.3% were at risk of food insecurity. Students who identified as a racial minority, lived off-campus, received a Pell grant, reported a parental education of high school or less, and did not participate in a meal plan were more likely to be food-insecure. Multivariate logistic regression models adjusted for sociodemographic characteristics and meal plan enrollment indicated that food-insecure students had significantly higher odds of poor sleep quality (OR = 2.32, 95% CI: 1.43–3.76), high stress (OR = 4.65, 95% CI: 2.66–8.11), disordered eating behaviors (OR = 2.49, 95% CI: 1.20–4.90), and a GPA \u3c 3.0 (OR = 1.91, 95% CI: 1.19–3.07) compared to food-secure students. Finally, while half of the students (56.4%) with an on-campus pantry were aware of its existence, only 22.2% of food-insecure students endorsed utilizing the pantry for food acquisition. Conclusions: Food insecurity among first-year college students is highly prevalent and has implications for academic performance and health outcomes. Higher education institutions should screen for food insecurity and implement policy and programmatic initiatives to promote a healthier college experience. Campus food pantries may be useful as shortterm relief; however, its limited use by students suggest the need for additional solutions with a rights-based approach to food insecurity. Trial Registration: Retrospectively registered on ClinicalTrials.gov, NCT02941497

Cooking and Meal Planning as Predictors of Fruit and Vegetable Intake and BMI in First-Year College Students

The objective was to determine if cooking skills and meal planning behaviors are associated with greater fruit and vegetable intake and lower body mass index (BMI) in first-year college students who are at risk for excessive weight gain. A cross-sectional analysis was conducted using baseline data from a multi-state research project aimed at preventing weight gain in first-year college students. Cooking type, frequency and confidence, self-instruction for healthful mealtime behavior intention, self-regulation of healthful mealtime behavior, and cup equivalents of fruits and vegetables (FV) were measured using validated surveys. BMI was calculated from measured height and weight. First-year students (n = 1108) considered at risk for weight gain from eight universities completed baseline assessments within the first month of entering college. Multiple linear regression was used to determine associations among independent variables of cooking patterns, meal planning behaviors, and dependent variables of fruit and vegetable intake and BMI, after controlling for the influence of sex. Cooking more frequently, cooking with greater skills, and practicing meal planning behaviors are associated with greater fruit and vegetable intake and lower BMI in first-year college students. Interventions aimed at improving health in college students may be enhanced by incorporating cooking and meal planning components

Redesign, Field-Testing, and Validation of the Physical Activity Campus Environmental Supports (PACES) Audit.

This paper describes the redesign, field-testing, and convergent validity of a practical tool-Physical Activity Campus Environmental Supports (PACES) audit. Methods. The audit includes two parts: (1) PACES-Programs, which is comprised of questions regarding populations served, fees, programs (recreation/fitness classes and intramurals), proximity, adequacy of facilities, and marketing, and (2) PACES-Facilities, which is comprised of questions regarding built environment (aesthetics, bike racks, stairs, and universal design), recreation equipment, staff, amenities, and access. Each item criterion is specifically scored using a five-point, semantic-differential scale ranging from limited to extensive environmental support. A few questions utilize select all that apply for a summed score. PACES training, interrater reliability, and data collection are all accessible via an online portal. PACES was tested on 76 college campuses. Convergent validity was examined by comparing the PACES-Programs questions to Healthy Campus Initiatives-Programs questions (HCI-Programs) and comparing the PACES-Facilities questions to questions contained in the Physical Activity Resource Assessment (PARA) Instrument. Statistical analyses included Cronbach\u27s alpha, ANOVA, latent profile analysis, and Spearman correlations. Results.The PACES-Programs audit includes 10 items for a potential total of 73 points (α = 0.72) and PACES-Facilities audit includes 15 items for a potential total of 77 points (α = 0.837). Most (77.8%) of the 153 facilities assessed scored in the most healthful range (20-42), which was mainly due to the extensiveness of the aerobic equipment/amenities and the competence/accessibility of staff. Significant differences in PACES-Total and PACES-Programs scores were associated with campus size and PACES-Facilities across regions. For the paired validation assessments, correlations were significant between PACES-Programs and HCI-Programs ((n=41) r=0.498, p \u3c 0.001) and PACES-Facilities and PARA (n=29) for both features (r=0.417, p=0.024) and amenities (r=0.612, p \u3c 0.001), indicating moderate convergent validity. Conclusion. The PACES audit is a valid, reliable tool for assessing the quality of recreation facilities and programs in a variety of college campus environments

Multilevel Structural Equation Modeling of Students\u27 Dietary Intentions/Behaviors, BMI, and the Healthfulness of Convenience Stores.

BACKGROUND: When dietary behaviors are habitual, intentions are low, and environmental cues, such as the consumer food environment, might guide behavior. How might intentions to eat healthily and ultimately actual dietary behaviors, be influenced by the consumer food environment (including the availability and affordability of healthy foods) in convenience stores? This study will determine pathways between the healthfulness of convenience stores and college students\u27 dietary intentions/behaviors, and body mass index (BMI).METHODS: Through multilevel structural equation modeling, a comparison was made of students\u27 healthful meal intentions (HMI); intake (fruits/vegetables, %kcal/fat, sugar-sweetened beverages (SSBs) and whole-grains); and measured BMI; as well as the healthfulness of convenience stores (fruits/vegetables availability/quality, healthy food availability/affordability). Data was collected on 1401 students and 41 convenience stores across 13 US college campuses.RESULTS: Controlling for gender, HMI was negatively associated with SSBs (β = -0.859) and %kcal/fat (β = -1.057) and positively with whole-grains (β = 0.186) and fruits/vegetables intake (β = 0.267); %Kcal/fat was positively (β = 0.098) and fruits/vegetables intake (β = -0.055) negatively associated with BMI. Campus level, fruits/vegetables availability were positively associated to HMI (β = 0.214, β = 0.129) and directly/negatively to BMI (β = -2.657, β = -1.124).CONCLUSIONS: HMI modifies dietary behaviors, with energy from fat and fruit/vegetable intake the most predictive of weight. Availability of fruit/vegetables in convenience stores make it easier for young adults to eat well

Development and Validation of the Vending Evaluation for Nutrient-Density (VEND)ing Audit

Background: This paper describes the development and validation of the Vending Evaluation for Nutrient-Density (VEND)ing audit to comprehensively evaluate vended products based upon healthfulness, price and promotion, and machine accessibility. Methods: A novel vending nutrient-density score was created to determine the healthfulness of vended snack/beverage products. Field tested in United States colleges, VENDing audit (Σnutrient-density + 10 x % healthy products) and Support sub-scores (price + promotion + accessibility) were calculated for snack/beverage machines. Higher scores indicate more healthful vending options and supports for choosing healthfully. Nutrition Environment Measures Survey-Vending (NEMS-V) was used to validate the nutrient-density score for a sub-sample of machines. Sensitivity and specificity were computed by comparing the number of healthy snacks/beverages determined by NEMS-V and the VENDing nutrient-density scores. Results: Researchers conducted the VENDing audit on 228 snack/beverage vending machines at 9 universities within the United States and used both VENDing and NEMS-V on 33 snack and 52 beverage vending machines. Mean VENDing audit scores were 4.5 ± 2.0 (2.6, 3.4) and 2.6 ± 2.0 (0, 12) for snack/beverage machines, respectively. The number of products considered healthy assessed with both the VENDing nutrient-density scores and the NEMS-V were positively correlated for beverages (r = 0.687, p \u3c 0.001) and snacks (r = 0.366, p \u3c 0.05). The sensitivity was excellent for beverages (0.83) and moderate for snacks (0.69); while the specificity was moderate for both beverages (0.66) and snacks (0.50). Conclusions: The VENDing audit uses unique, valid, an