Pragmatic Adaptations to Kids SIPsmartER's Implementation Protocol Supported Its Delivery During the COVID-19 Pandemic.

OBJECTIVE: Describe the adaptation, implementation, and perceptions of Kids SIPsmartER's classroom component during the coronavirus disease-impacted 2020-2021 school year. DESIGN: Mixed methods process evaluation. SETTING: Seven rural Appalachian middle schools (US). PARTICIPANTS: Middle-school teachers (n = 14) and principals (n = 6). INTERVENTION: Kids SIPsmartER was a multilevel, school-based intervention designed to decrease sugar-sweetened beverage intake. The 12-lesson classroom component was supported by an implementation protocol. MEASURES: Implementation protocol adaptations, program perceptions, and the school context were assessed using teacher and principal interviews, teacher-completed fidelity checklists, and researcher-maintained field notes. Adaptations were mapped to the Framework for Reporting Adaptations and Modifications-Enhanced (FRAME). ANALYSIS: Qualitative data were content coded. Quantitative data were summarized using descriptive statistics. RESULTS: All schools maintained Kids SIPsmartER and delivered 100% of lessons. Ten adaptations were made to the implementation protocol. Schools used adapted delivery approaches to meet individual needs. Teachers and principals identified more benefits than barriers to implementing the program. CONCLUSIONS AND IMPLICATIONS: Using a strategically adapted implementation protocol that was flexible to schools' individual needs allowed all middle schools to deliver Kids SIPsmartER during the 2020-2021 school year. Findings identify adaptation considerations that other school-based evidence-based interventions could incorporate to facilitate delivery during high-stress times.

Kids SIPsmartER reduces sugar-sweetened beverages among Appalachian middle-school students and their caregivers: a cluster randomized controlled trial.

BACKGROUND: High consumption of sugar-sweetened beverages (SSB) is a global health concern. Additionally, sugar-sweetened beverage (SSB) consumption is disproportionately high among adolescents and adults in rural Appalachia. The primary study objective is to determine the intervention effects of Kids SIPsmartER on students' SSB consumption. Secondary objectives focus on caregivers' SSB consumption and secondary student and caregiver outcomes [e.g, body mass index (BMI), quality of life (QOL)]. METHODS: This Type 1 hybrid, cluster randomized controlled trial includes 12 Appalachian middle schools (6 randomized to Kids SIPsmartER and 6 to control). Kids SIPsmartER is a 6-month, 12 lesson, multi-level, school-based, behavior and health literacy program aimed at reducing SSB among 7th grade middle school students. The program also incorporates a two-way text message strategy for caregivers. In this primary prevention intervention, all 7th grade students and their caregivers from participating schools were eligible to participate, regardless of baseline SSB consumption. Validated instruments were used to assess SSB behaviors and QOL. Height and weight were objectively measured in students and self-reported by caregivers. Analyses included modified two-part models with time fixed effects that controlled for relevant demographics and included school cluster robust standard errors. RESULTS: Of the 526 students and 220 caregivers, mean (SD) ages were 12.7 (0.5) and 40.6 (6.7) years, respectively. Students were 55% female. Caregivers were mostly female (95%) and White (93%); 25% had a high school education or less and 33% had an annual household income less than $50,000. Regardless of SSB intake at baseline and relative to control participants, SSB significantly decreased among students [-7.2 ounces/day (95% CI = -10.7, -3.7); p < 0.001, effect size (ES) = 0.35] and caregivers [-6.3 ounces/day (95% CI = -11.3, -1.3); p = 0.014, ES = 0.33]. Among students (42%) and caregivers (28%) who consumed > 24 SSB ounces/day at baseline (i.e., high consumers), the ES increased to 0.45 and 0.95, respectively. There were no significant effects for student or caregiver QOL indicators or objectively measured student BMI; however, caregiver self-reported BMI significantly decreased in the intervention versus control schools (p = 0.001). CONCLUSIONS: Kids SIPsmartER was effective at reducing SSB consumption among students and their caregivers in the rural, medically underserved Appalachian region. Importantly, SSB effects were even stronger among students and caregivers who were high consumers at baseline. TRIAL REGISTRATION: Clincialtrials.gov: NCT03740113. Registered 14 November 2018- Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03740113 .

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.

Outcomes of a Caregiver-Focused Short Message Service (SMS) Intervention to Reduce Intake of Sugar-Sweetened Beverages in Rural Caregivers and Adolescents.

This study examined enrollment, retention, engagement, and behavior changes from a caregiver short message service (SMS) component of a larger school-based sugar-sweetened beverage (SSB) reduction intervention. Over 22 weeks, caregivers of seventh graders in 10 Appalachian middle schools received a two-way SMS Baseline Assessment and four monthly follow-up assessments to report their and their child's SSB intake and select a personalized strategy topic. Between assessments, caregivers received two weekly one-way messages: one information or infographic message and one strategy message. Of 1873 caregivers, 542 (29%) enrolled by completing the SMS Baseline Assessment. Three-quarters completed Assessments 2-5, with 84% retained at Assessment 5. Reminders, used to encourage adherence, improved completion by 19-40%, with 18-33% completing after the first two reminders. Most caregivers (72-93%) selected a personalized strategy and an average of 28% viewed infographic messages. Between Baseline and Assessment 5, daily SSB intake frequency significantly (p < 0.01) declined for caregivers (-0.32 (0.03), effect size (ES) = 0.51) and children (-0.26 (0.01), ES = 0.53). Effect sizes increased when limited to participants who consumed SSB twice or more per week (caregivers ES = 0.65, children ES = 0.67). Findings indicate that an SMS-delivered intervention is promising for engaging rural caregivers of middle school students and improving SSB behaviors.

Retention and engagement of rural caregivers of adolescents in a short message service intervention to reduce sugar-sweetened beverage intake.

Objective: This study investigates a 6-month short message service (SMS) intervention to reduce adolescent sugar-sweetened beverage (SSB) intake. The objectives are to describe caregiver retention and SMS engagement as well as explore differences by caregiver characteristics. Methods: Caregivers completed a baseline survey then messages were sent two times per week. Message types included the following: SSB intake assessments, educational information, infographic URLs, and strategies. Engagement was measured through interaction with these messages and included: assessment completion, reminders needed, number of strategies chosen, and URLs clicked. Results: Caregivers (n = 357) had an average baseline SSB intake of 23.9 (SD = 26.8) oz/day. Of those, 89% were retained. Caregivers with a greater income and education were retained at a higher rate. Average engagement included: 4.1 (SD = 1.3) of 5 assessments completed with few reminders needed [4.1 (SD = 3.7) of 14 possible], 3.2 (SD = 1.1) of 4 strategies selected, and 1.2 (SD = 1.6) of 5 URLs clicked. Overall, average engagement was relatively high, even where disparities were found. Demographic characteristics that were statistically related to lower engagement included younger age, lower income, lower educational attainment, single caregivers, lower health literacy. Furthermore, caregivers with a reduced intention to change SSB behaviors completed fewer assessments and needed more reminders. Higher baseline SSB intake was associated with lower engagement across all indicators except URL clicks. Conclusions: Results can be used to develop targeted retention and engagement strategies (e.g., just-in-time and/or adaptive interventions) in rural SMS interventions for identified demographic subsets. Trial registration: Clincialtrials.gov: NCT03740113.

Improving Fecal Immunochemical Test Return Rates: A Colorectal Cancer Screening Quality Improvement Project in a Multisite Federally Qualified Health Center.

The goal of this quality improvement project was to improve colorectal cancer (CRC) screening rates in a multicenter federally qualified health center (FQHC) within the Central Appalachian region of rural, southwestern Virginia. Guided by the Plan-Do-Study-Act (PDSA) cycle, the objectives were to (1) evaluate implementation processes and effectiveness of an automated electronic medical record patient reminder system to promote fecal immunochemical test (FIT) completion, compared with live telephone reminders delivered by a care coordinator (i.e., usual care), and (2) explore staff perceptions related to improving CRC screening rates. In total, 119 FITs were distributed with 59 assigned to usual care and 60 to the automated groups. In the usual care group, 79% patients with completed protocol returned their FIT; 9% were positive. In the automated reminder group, 76% patients with completed protocol returned their FIT; 10% were positive. There was no significant difference in the number of contacts per patients between the usual care (2.0, SD = 0.82 contacts/patient) and automated (1.8, SD = 0.98 contacts/patient) groups (p = .248). In total, the usual care and automated groups required 56 and 17 live calls, respectively. Overall, FQHC system-wide CRC screening rates increase from 30.5% to 47.3%. Ten staff interviews revealed perceptions of CRC screening, the QI project, and organizational change processes that may inform future cancer control projects. Researcher and practitioners should consider PDSA quality improvement projects as an initial step to build capacity and improve CRC screening rates, especially when working in FQHC with limited resources to engage in large complex research projects.

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.

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.

Relationships among changes in physical activity, quality of life, and obesity-Status following a behavioral intervention for rural Appalachian adults.

Improved health-related quality of life (HRQoL) is one benefit of physical activity. Yet, there is limited intervention research exploring (1) whether changes in physical activity influence changes in HRQoL among community-based populations and (2) if baseline obesity status influences the relationships. This exploratory analysis used secondary data from rural Appalachian adults who completed the MoveMore arm of a larger randomized control trial (n = 105, Mage = 41.8, 82 % female, 96 % White, Mincome= $25,911). Specifically, this study examined associations among changes in physical activity and HRQOL and whether baseline obesity status moderated changes. Three HRQoL variables (self-rated health status, total unhealthy days, days poor health impacted activities) and two physical activity variables [weekly moderate-vigorous physical activity (MVPA) minutes, weekly strength training minutes] were collected at baseline and 6-months. Regression models, adjusted for age, gender, race, income, education, assessed associations between physical activity and HRQoL change variables. Moderation analyses explored the influence of baseline obesity status on these relationships. Participants reported significant improvements in self-rated health status (P = 0.001), weekly MVPA minutes (P = 0.008), and weekly strength training minutes (P < 0.001). Increasing weekly strength training minutes was associated with fewer days poor health impacted activities (B = -0.040, P = 0.013). Weekly minutes of MVPA was not associated with HRQoL variables. Baseline obesity status did not moderate relationships. Findings suggest increasing weekly strength training may reduce days poor health impacted activities and that relationships among changes in physical activity and HRQoL were not impacted by baseline obesity. Findings have implications for promoting strength activities in community-based physical activity interventions for rural populations.

Sweet Beverages and Cancer: A Scoping Review of Quantitative Studies.

We conducted a scoping review of sweet beverages (SB) and cancer outcomes to ascertain SB's relationship with cancer by SB type and cancer type. We used the PRISMA Scoping Review Guidelines to review quantitative studies of SB and cancer. Eligible studies included articles reporting a quantitative association between SB intake and a cancer-related health outcome in humans, including adiposity-related versus non-adiposity-related cancers. Studies included analyses not confounded by artificial sweeteners. SB was defined as beverages with added sugars, 100% fruit juices, or fruit drinks that were not 100% fruit juice. We used a data-charting form to extract study characteristics and results.A total of 38 were included. The sample consisted predominately of adults from European countries outside of the United States or predominately White samples in the United States. Across all conceptualizations of SB, a greater proportion of studies examining carbonated drinks reported SB's relationship with poorer cancer outcomes, which was exacerbated in adiposity-related cancers.The composition of different types of SB (e.g., high fructose corn syrup, natural fructose) as they relate to cancer is important. Studies including more diverse populations that bear a disproportionate burden of both SB intake and cancer are needed. PREVENTION RELEVANCE: Different sugars in SB may impact cancer differently. Compared with SB made with other types of sugar, drinks made with man-made fructose (carbonated drinks) had poorer cancer outcomes, especially in cancers impacted by obesity. Understanding how different SB affect cancer would help us target which SB to avoid.

Comparing two different family-based childhood obesity treatment programmes in a medically underserved region: Effectiveness, engagement and implementation outcomes from a randomized controlled trial.

BACKGROUND: Access to evidence- and family-based childhood obesity (FBCO) treatment interventions is a challenge, especially in underserved regions where childhood obesity disparities persist. OBJECTIVE: Compare two 6-month FBCO treatment interventions, iChoose (high intensity, parent-child dyads) and Family Connections (low intensity, parents only), in one underserved US region. METHODS: This unblinded, RCT reports on effectiveness and implementation outcomes. Eligibility included children ages 5-12 with BMI ≥85th percentile. Analyses included descriptive statistics and intention-to-treat Heckman treatment effect models. RESULTS: Enrolled children (n = 139, mean age 10.1 ± 1.7 years, 30% with overweight, 70% with obesity, 45% black, 63% Medicaid) were randomly assigned to iChoose (n = 70) or Family Connections (n = 69). Retention rates were 63% for iChoose and 84% for Family Connection. Among children, 6-month BMI z-score changes were not statistically significant within iChoose [BMI z-score 0.03 (95% CI = -0.13, 0.19)] or Family Connections [BMI z-score 0.00 (95% CI = -0.16, 0.16)]. Likewise, parents' BMI changes were not statistically significant. No adverse events were reported. Both programmes were delivered with high fidelity (77%-100%). Engagement in core components was 25%-36% for iChoose and 52%-61% for Family Connections. Implementation costs per child with improved BMI z-score were $2841 for iChoose and $955 for Family Connections. CONCLUSIONS: Neither intervention yielded significant improvements in child BMI z-score or parent BMI, yet both were delivered with high fidelity. Relative to iChoose, descriptive data indicated higher retention, better engagement, and lower costs for Family Connections-suggesting that a lower intensity and parent-focused programme may better fit the intended audience's context.

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.

A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia.

The δ13C value of blood is a novel proposed biomarker of added sugars (AS) intake. AS prediction equations using either a single- (δ13C) or dual-isotope model (δ13C and δ15N) were previously developed in an adult population with high AS intake living in southwest Virginia (reference group). The purpose of this investigation was to test the δ13C single- and δ13C and δ15N dual-isotope prediction equations for AS intake in adults with a lower mean AS intake and different demographic characteristics (test group). The blood samples for the reference (n = 257 for single-isotope, n = 115 for dual-isotope) and test groups (n = 56) were analyzed for δ13C and δ15N values using natural abundance stable isotope mass spectrometry and were compared to reported dietary AS intake. When the δ13C single-isotope equation was applied to the test group, predicted AS intake was not significantly different from reported AS intake (mean difference ± standard error = -3.6 ± 5.5 g, Z = -0.55, p = 0.51). When testing the dual-isotope equation, predicted AS was different from reported AS intake (mean difference ± SEM = 13.0 ± 5.4 g, Z = -2.95, p = 0.003). δ13C value was able to predict AS intake using a blood sample within this population subset. The single-isotope prediction equation may be an alternative method to assess AS intake and is more objective, cost-feasible, and efficient than traditional dietary assessment methods. However, more research is needed to assess this biomarker with rigorous study designs such as controlled feeding.

Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia.

BACKGROUND: Colorectal cancer (CRC) disparities vary by country and population group, but often have spatial features. This study of the United States state of Virginia assessed CRC outcomes, and identified demographic, socioeconomic and healthcare access contributors to CRC disparities. METHODS: County- and city-level cross-sectional data for 2011-2015 CRC incidence, mortality, and mortality-incidence ratio (MIR) were analyzed for geographically determined clusters (hotspots and cold spots) and their correlates. Spatial regression examined predictors including proportion of African American (AA) residents, rural-urban status, socioeconomic (SES) index, CRC screening rate, and densities of primary care providers (PCP) and gastroenterologists. Stationarity, which assesses spatial equality, was examined with geographically weighted regression. RESULTS: For incidence, one CRC hotspot and two cold spots were identified, including one large hotspot for MIR in southwest Virginia. In the spatial distribution of mortality, no clusters were found. Rurality and AA population were most associated with incidence. SES index, rurality, and PCP density were associated with spatial distribution of mortality. SES index and rurality were associated with MIR. Local coefficients indicated stronger associations of predictor variables in the southwestern region. CONCLUSIONS: Rurality, low SES, and racial distribution were important predictors of CRC incidence, mortality, and MIR. Regions with concentrations of one or more factors of disparities face additional hurdles to improving CRC outcomes. A large cluster of high MIR in southwest Virginia region requires further investigation to improve early cancer detection and support survivorship. Spatial analysis can identify high-disparity populations and be used to inform targeted cancer control programming.

Study protocol for iSIPsmarter: A randomized-controlled trial to evaluate the efficacy, reach, and engagement of a technology-based behavioral intervention to reduce sugary beverages among rural Appalachian adults.

Sugar-sweetened beverage (SSB) consumption is disproportionately high among rural Appalachian adults, with intakes double the national average and nearly four times the recommended amount. This trial targets this major dietary risk factor and addresses notable gaps in the rural digital health intervention literature. iSIPsmarter is a technology-based behavior and health literacy intervention aimed at improving SSB behaviors. It is comprised of six Internet-delivered, interactive Cores delivered weekly, an integrated short message service (SMS) strategy to engage users in tracking and reporting SSB behaviors, and a cellular-enabled scale for in-home weighing. iSIPsmarter is adapted from an evidence-based intervention and is grounded by the Theory of Planned Behavior and health literacy, numeracy, and media literacy concepts. The RCT is guided by the RE-AIM framework and targets 244 rural Appalachian adults. The goal is to examine the efficacy of iSIPsmarter to reduce SSB in a two-group design [iSIPsmarter vs. static Participant Education website] with four assessment points. Changes in secondary outcomes (e.g., diet quality, weight, quality of life) and maintenance of outcomes will also be evaluated. Additional secondary aims are to examine reach and representativeness, patterns of user engagement, and cost. Two tertiary aims are exploratory mediation analyses and a systems-level, participatory evaluation to understand context for future organizational-level adoption of iSIPsmarter. The long-term goal is to sustain an effective, scalable, and high reach behavioral intervention to reduce SSB-related health inequities and related chronic conditions (i.e., obesity, diabetes, some obesity-related cancers, heart disease, hypertension, dental decay) in rural Appalachia and beyond. ClinicalTrial registry: NCT05030753.

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.

Advancing engagement and capacity for rural cancer control: a mixed-methods case study of a Community-Academic Advisory Board in the Appalachia region of Southwest Virginia.

BACKGROUND: The objectives are to: 1) describe engagement processes used to prioritize and address regional comprehensive cancer control needs among a Community-Academic Advisory Board (CAB) in the medically-underserved, rural Appalachian region, and 2) detail longitudinal CAB evaluation findings. METHODS: This three-year case study (2017-2020) used a convergent parallel, mixed-methods design. The approach was guided by community-based participatory research (CBPR) principles, the Comprehensive Participatory Planning and Evaluation process, and Nine Habits of Successful Comprehensive Cancer Control Coalitions. Meeting artifacts were tracked and evaluated. CAB members completed quantitative surveys at three time points and semi-structured interviews at two time points. Quantitative data were analyzed using analysis of variance tests. Interviews were audio recorded, transcribed, and analyzed via an inductive-deductive process. RESULTS: Through 13 meetings, Prevention and Early Detection Action Teams created causal models and prioritized four cancer control needs: human papillomavirus vaccination, tobacco control, colorectal cancer screening, and lung cancer screening. These sub-groups also began advancing into planning and intervention proposal development phases. As rated by 49 involved CAB members, all habits significantly improved from Time 1 to Time 2 (i.e., communication, priority work plans, roles/accountability, shared decision making, value-added collaboration, empowered leadership, diversified funding, trust, satisfaction; all p < .05), and most remained significantly higher at Time 3. CAB members also identified specific challenges (e.g., fully utilizing member expertise), strengths (e.g., diverse membership), and recommendations across habits. CONCLUSION: This project's equity-based CBPR approach used a CPPE process in conjunction with internal evaluation of cancer coalition best practices to advance CAB efforts to address cancer disparities in rural Appalachia. This approach encouraged CAB buy-in and identified key strengths, weaknesses, and opportunities that will lay the foundation for continued involvement in cancer control projects. These engagement processes may serve as a template for similar coalitions in rural, underserved areas.

There has been notable progress among state and local cancer coalitions in developing and implementing comprehesive cancer control plans. Yet, gaps exist in rural communities and cancer remains a leading cause of death in rural populations. This paper reports on how the involvement of a Community-Academic Advisory Board (CAB) helped to prioritize cancer control and research needs in the medically-underserved, rural Appalachian region. CAB members were asked to participate in meetings and to share their experiences through surveys and interviews. Through this three-year process, four cancer control needs were prioritized: human papillomavirus vaccination, tobacco control, colorectal cancer screening, and lung cancer screening. Also, over the course of the project, CAB members' experiences improved, including: communication, priority work plans, roles/accountability, shared decision making, value-added collaboration, empowered leadership, diversified funding, trust, satisfaction. During the interviews, CAB members identified specific challenges, strengths, and recommendations. The opportunities and barriers at building and sustaining capacity as well as advancing a community-driven research agenda to address cancer disparities in rural Appalachia is discussed.

A Novel Behavioral Intervention for Rural Appalachian Cancer Survivors (weSurvive): Participatory Development and Proof-of-Concept Testing.

BACKGROUND: Addressing the modifiable health behaviors of cancer survivors is important in rural communities that are disproportionately impacted by cancer (eg, those in Central Appalachia). However, such efforts are limited, and existing interventions may not meet the needs of rural communities. OBJECTIVE: This study describes the development and proof-of-concept testing of weSurvive, a behavioral intervention for rural Appalachian cancer survivors. METHODS: The Obesity-Related Behavioral Intervention Trials (ORBIT) model, a systematic model for designing behavioral interventions, informed the study design. An advisory team (n=10) of community stakeholders and researchers engaged in a participatory process to identify desirable features for interventions targeting rural cancer survivors. The resulting multimodal, 13-week weSurvive intervention was delivered to 12 participants across the two cohorts. Intervention components included in-person group classes and group and individualized telehealth calls. Indicators reflecting five feasibility domains (acceptability, demand, practicality, implementation, and limited efficacy) were measured using concurrent mixed methods. Pre-post changes and effect sizes were assessed for limited efficacy data. Descriptive statistics and content analysis were used to summarize data for other domains. RESULTS: Participants reported high program satisfaction (acceptability). Indicators of demand included enrollment of cancer survivors with various cancer types and attrition (1/12, 8%), recruitment (12/41, 30%), and attendance (median 62%) rates. Dietary (7/12, 59%) and physical activity (PA; 10/12, 83%) behaviors were the most frequently chosen behavioral targets. However, the findings indicate that participants did not fully engage in action planning activities, including setting specific goals. Implementation indicators showed 100% researcher fidelity to delivery and retention protocols, whereas practicality indicators highlighted participation barriers. Pre-post changes in limited efficacy outcomes regarding cancer-specific beliefs and knowledge and behavior-specific self-efficacy, intentions, and behaviors were in desired directions and demonstrated small and moderate effect sizes. Regarding dietary and PA behaviors, effect sizes for fruit and vegetable intake, snacks, dietary fat, and minutes of moderate-to-vigorous activity were small (Cohen d=0.00 to 0.32), whereas the effect sizes for change in PA were small to medium (Cohen d=0.22 to 0.45). CONCLUSIONS: weSurvive has the potential to be a feasible intervention for rural Appalachian cancer survivors. It will be refined and further tested based on the study findings, which also provide recommendations for other behavioral interventions targeting rural cancer survivors. Recommendations included adding additional recruitment and engagement strategies to increase demand and practicality as well as increasing accountability and motivation for participant involvement in self-monitoring activities through the use of technology (eg, text messaging). Furthermore, this study highlights the importance of using a systematic model (eg, the ORBIT framework) and small-scale proof-of-concept studies when adapting or developing behavioral interventions, as doing so identifies the intervention's potential for feasibility and areas that need improvement before time- and resource-intensive efficacy trials. This could support a more efficient translation into practice.

Assets and Challenges to Recruiting and Engaging Families in a Childhood Obesity Treatment Research Trial: Insights From Academic Partners, Community Partners, and Study Participants.

Background: There is need for the childhood obesity treatment literature to identify effective recruitment and engagement strategies for rural communities that are more likely to lack supportive infrastructure for healthy lifestyles and clinical research relative to their urban counterparts. This community case study examines recruitment and engagement strategies from a comparative effectiveness research (CER) trial of two family-based childhood obesity (FBCO) treatment interventions conducted in a medically underserved, rural region. Guided by a Community Based Participatory Research (CBPR) and systems-based approach, the primary aim was to analyze interviews from academic partners, community partners, and parent study participants for recruitment and engagement assets, challenges, and lessons learned. Methods: Over the 3-year lifespan of the study, researchers conducted 288 interviews with Community Advisory Board members (n = 14), Parent Advisory Team members (n = 7), and study participants (n = 100). Using an inductive-deductive approach, interviews were broadly coded for recruitment and engagement assets, challenges, and recommendations; analyzed for descriptive sub-coding; and organized into stakeholder/organization and participant level themes. Codes were analyzed aggregately across time and examined for differences among stakeholders and parent study participants. Results: Adherence to CBPR principles and development of strong community partnerships facilitated recruitment and engagement; however, variability in recruitment and engagement success impacted partner confidence, threatened outcome validity, and required additional resources. Specifically, assets and challenges emerged around eight key needs. Three were at the stakeholder/organization level: (1) readiness of stakeholders to conduct CBPR research, (2) development of sustainable referral protocols, and (3) development of participant engagement systems. The remaining five were at the participant level: (1) comfort and trust with research, (2) awareness and understanding of the study, (3) intervention accessibility, (4) intervention acceptability, and (5) target population readiness. Future recommendations included conducting readiness assessments and awareness campaigns, piloting and evaluating recruitment and engagement strategies, identifying participant barriers to engagement and finding a priori solutions, and fostering stakeholder leadership to develop sustainable protocols. Conclusion: Collective findings from multiple perspectives demonstrate the need for multi-leveled approaches focusing on infrastructure supports and strategies to improve stakeholder and participant awareness of, and capacity for, recruiting and engaging medically underserved, rural families in a FBCO CER trial.