Student and caregiver acceptability of a school-based intervention to improve sugar-sweetened beverage behaviors: a mixed methods study.

Kids SIPsmartER is a 6-month behavioral and health literacy intervention effective at reducing sugar-sweetened beverage (SSB) intake among middle school students and their caregivers in the rural Appalachian region. This exploratory mixed methods study utilized a convergent parallel design to assess participant acceptability of a school-based curriculum for students and a text messaging program for caregivers. Acceptability was assessed using surveys (873 students and 453 caregivers), five focus groups (34 students) and telephone interviews (22 caregivers). Quantitative data were analyzed descriptively, and qualitative data were content coded. On a 5-point scale, average quantitative survey acceptability ratings ranged from 2.7 to 3.3 among three student-rated questions and 4.1 to 4.2 among four caregiver-rated questions. Qualitative focus group findings suggested that students preferred curricular activities that were hands-on and involved social interaction, while caregiver interview results showed high acceptability of the text messaging program's design, including usability, content messages and personalization. Students and caregivers reported similar program benefits: increased knowledge of SSBs and health risks, increased awareness of SSB behaviors and support to make beverage behavior changes. Results from this study can be used to understand Kids SIPsmartER's effectiveness data, communicate the intervention's acceptability with stakeholders and plan for future implementation studies.

Associations of Body Mass Index with Self-Rated Health and Weight Perceptions Among Rural Appalachian Adolescent Students.

BACKGROUND: Adolescents with overweight or obesity are at greater risk of having physical and psychosocial consequences. With increased disparities and inadequate literature on prevalence of adolescent weight status in rural Appalachia, there is potential for further complications. Unfortunately, adolescent obesity treatment options are often limited, especially in medically underserved regions. METHODS: This cross-sectional study of adolescents at eight rural Appalachian schools examined weight status among and associations between body mass index percentile (BMIp) categories and health-related perceptions and weight-control intentions. Previously validated instruments were utilized. Analyses included independent samples t-tests, ANOVA tests, and chi-squared tests. RESULTS: Of 814 adolescents (ages 11-13; 55.0% girls), BMIp revealed 20.8% overweight, 22.7% obese, and 10.6% severely obese. Adolescents with higher BMIp categories reported poorer self-rated health, inaccurate weight perceptions, and greater weight loss intentions (all p < .05). CONCLUSIONS: Findings, including high prevalence of adolescents with overweight and obesity, emphasize the need for more obesity prevention and treatment options. Schools may be an ideal setting to reach at-risk adolescents and provide obesity prevention and treatment options, especially in medically underserved regions such as rural Appalachia. Opportunities and challenges to apply findings, including school-based obesity programs, are discussed.

Exploring differences in adolescent BMI and obesity-related behaviors by urban, suburban, and rural status.

Data from the nationally representative 2014 Family Life, Activity, Sun, Health, and Eating (FLASHE) study was examined to identify differences in adolescent Body Mass Index (BMI) and obesity-related behaviors by rurality status (i.e., urban, suburban, rural) while accounting for relevant demographics (i.e., sex, race/ethnicity, household income). This secondary, cross-sectional analysis included 1,353 adolescents. Analyses included descriptive statistics, one-way analysis of variance, Chi-squared tests, and multiple linear regression models (reported significance level p < 0.05). Rurality was not associated with BMI when controlling for demographics. However, relative to rural adolescents, suburban adolescents had significantly higher junk food, sugar-sweetened beverages (SSB), sugary food (all ß=+0.2, p ≤ 0.001), and fruit/vegetable intake (ß=+0.1, p ≤ 0.05). Compared to Non-Hispanic White adolescents, Non-Hispanic Black adolescents had significantly higher BMI (ß=+4.4, p ≤ 0.05), total sedentary time (ß=+4.1, p ≤ 0.001), junk food, SSB, and sugary food intake (all ß=+0.2, p ≤ 0.05). Relative to their lower-income household counterparts, adolescents from higher-income households had significantly lower BMI (ß = -9.7, p ≤ 0.001), junk food (ß = -0.2, p ≤ 0.05), and SSB intake (ß = -0.5, p ≤ 0.001). Contrary to literature, rurality was not a significant predictor of adolescent BMI. While suburban status was significantly associated with several diet-related risk factors, it was not in the direction anticipated. Being non-Hispanic Black and from a low-income household had the greatest influence on adolescent BMI. Findings highlight the importance of using a three-category classification for rurality.

Beverage behaviors and correlates among Head Start preschooler-parent dyads.

OBJECTIVES: To describe beverage behaviors among preschooler-parent dyads and explore correlates with preschooler's beverage behaviors. METHODS: This exploratory, cross-sectional study includes a convenience sample of 202 parents of preschoolers surveyed from four Head Start programs in Virginia and Ohio. Measurements included parent-child beverage behaviors, parent beverage perceptions, parent beverage rules, home beverage availability, and demographics. Analyses included descriptive statistics, correlations, Kruskal-Wallis test, and Quade's non-parametric ANCOVA tests. RESULTS: Mean sugar-sweetened beverage (SSB; i.e., regular soda, sweetened fruit drinks, sports/energy drinks, and coffee/tea with sugar) intake was 1.3 (SD = 1.4) and 2.3 (SD = 2.0) times/day for preschoolers and parents, respectively. When considering all sugary drink sources [i.e., summing SSB with flavored milk and 100% fruit juice (FJ)], the mean frequency increased to 3.2 (SD = 2.1) and 3.6 (SD = 2.4) times/day, respectively, for preschoolers and parents. A significant positive correlation was observed between preschooler-parent dyads for SSB (r = 0.406, p < 0.001) and for all sugary drinks (r = 0.572, p < 0.001). Parents who were younger, single, less educated, and with lower income had preschoolers with significantly higher SSB and all sugary drink intake (all p < 0.05). Significant correlates with preschoolers' beverage behaviors also included parent perceived behavioral control (SSB: p = 0.003, 100% FJ: p = 0.008, water: p < 0.0001), parenting practices (SSB: p = 0.022), and home availability (SSB: p = 0.011, 100% FJ: p < 0.001, water: p < 0.001). CONCLUSIONS: This study highlights excessive SSB and all sugary drink consumption among Head Start preschooler-parent dyads. Also, intervention targets to improve preschooler's beverage behaviors are identified, including efforts to improve parent's beverage behaviors, perceived behavioral control, parenting practices, and the home environment.

Factors Influencing the Sugar-Sweetened Beverage Intake of Caregivers of Adolescents in Appalachia.

OBJECTIVE: To identify factors that influence the sugar-sweetened beverage (SSB) intake of caregivers of middle school-aged adolescents. DESIGN: Cross-sectional. SETTING: Southwestern Virginia, US, part of Central Appalachia. PARTICIPANTS: Caregivers (n = 362) of adolescents enrolled in the Kids SIPsmartER trial. Participants were mostly female (91%) and non-Hispanic White (96%), and 21% received Supplemental Nutrition Assistance Program (SNAP) benefits. MAIN OUTCOME MEASURES: Caregiver daily SSB intake and demographics, personal-level, interpersonal-level, and environmental-level determinants. ANALYSIS: Descriptive statistics, 1-way ANOVA, and stepwise regression. RESULTS: On average, caregivers consumed 25.7 (SD, 33.2) fluid ounces of SSB per day. In the final model, which included all variables, age (ß = -0.41; P < 0.05), receiving SNAP benefits (ß = 14.19; P ≤ 0.01), behavioral intentions (ß = -5.48; P ≤ 0.001), affective attitudes (ß = -2.15, P < 0.05), perceptions of whether their adolescent frequently consumes high amounts of SSB (ß = 1.92; P ≤ 0.001), and home availability (ß = 7.43; P ≤ 0.01) were significantly associated with SSB intake. CONCLUSIONS AND IMPLICATIONS: Caregivers of Appalachian middle school students are high SSB consumers. Findings highlight the importance of implementing behavioral interventions for caregivers of adolescents that target multiple levels of influence, including demographic, personal-level, interpersonal-level, and environmental-level factors. Interventions may be particularly important for communities and groups with higher SSB intakes, such as those in Appalachia and who receive SNAP benefits.

Low Health Literacy Is Associated With Energy-Balance-Related Behaviors, Quality of Life, and BMI Among Rural Appalachian Middle School Students: A Cross-Sectional Study.

BACKGROUND: Many studies document associations between low health literacy (HL) and poor health behaviors and outcomes. Yet, HL is understudied among adolescents, particularly from underserved, rural communities. We targeted rural adolescents in this cross-sectional study and explored relationships between HL and (1) energy-balance-related health behaviors and (2) body mass index (BMI) and quality of life (QOL). METHODS: Surveys were administered to 7th graders across 8 middle schools in rural Appalachia. HL was assessed using the Newest Vital Sign. Energy-balance-related behaviors and QOL were assessed using validated instruments. Height and weight were objectively measured. Analyses were conducted using the Hodges-Lehmann nonparametric median difference test. RESULTS: Of the 854 adolescent students (mean age = 12; 55% female), 47% had limited HL. Relative to students with higher HL, students with lower HL reported significantly lower frequency of health-promoting behaviors (water, fruit and vegetable intake, physical activity, sleep), higher frequency of risky health behaviors (sugar-sweetened beverages, junk food, screen time), and had higher BMI percentiles and lower QOL (all p < .05). CONCLUSIONS: Low HL is associated with energy-balance-related behaviors, BMI, and QOL among rural, Appalachian adolescents. Findings underscore the relevance of HL among rural middle school students and highlight implications for school health.