Going beyond the individual: How state-level characteristics relate to HPV vaccine rates in the United States

Abstract Background The human papillomavirus (HPV) vaccine is an underutilized cancer control practice in the United States. Although individual contextual factors are known to impact HPV vaccine coverage rates, the impact of macro-level elements are still unclear. The aim of this analysis was to use HPV vaccination rates to explore the underuse of an evidence-based cancer control intervention and explore broader-level correlates influencing completion rates. Methods A comprehensive database was developed using individual-level date from the National Immunization Survey (NIS)-Teen (2016) and state-level data collected from publically available sources to analyze HPV vaccine completion. Multi-level logistic models were fit to identify significant correlates. Level-1 (individual) and level-2 (state) correlates were fitted to a random intercept model. Deviance and AIC assessed model fit and sampling weights were applied. Results The analysis included 20,495 adolescents from 50 U.S. states and the District of Columbia. Teen age, gender, race/ethnicity, and maternal education were significant individual predictors of HPV completion rates. Significant state-level predictors included sex education policy, religiosity, and HPV vaccine mandate. States with the lowest HPV coverage rates were found to be conservative and highly religious. Little variation in vaccine exemptions and enacted sex and abstinence education polices were observed between states with high and low HPV vaccine coverage suggesting various contextual and situational factors impact HPV vaccine completion rates. Conclusions Given that gender, religiosity, political ideology, and education policies are predictors of HPV vaccine completion, the interaction and underlying mechanism of these factors can be used to address the underutilization of the HPV vaccine

Developing priorities to achieve health equity through diabetes translation research: A concept mapping study

Introduction: The goal of diabetes translation research is to advance research into practice and ensure equitable benefit from scientific evidence. This study uses concept mapping to inform and refine future directions of diabetes translation research with the goal of achieving health equity in diabetes prevention and control. Research design and methods: This study used concept mapping and input from a national network of diabetes researchers and public health practitioners. Concept mapping is a mixed-method, participant-based process. First, participants generated statements by responding to a focus prompt ( Results: Ten clusters were identified containing between 6 and 12 statements from 95 total generated statements. The ranges of average importance and feasibility ratings for clusters were fairly high and narrow (3.62-4.09; 3.10-3.93, respectively). Clusters with the most statements in the go-zone quadrant (above average importance/feasibility) were Conclusions: This study created a framework of 10 priority areas to guide current and future efforts in diabetes translation research to achieve health equity. Themes rated as highly important and feasible provide the basis to evaluate current research support. Future efforts should explore how to best support innovative-targets, those rated highly important but less feasible

Physical activity and sedentary behavior in early care and education centers: identifying opportunities and testing strategies to support active classroom environments

Engaging in physical activity and limiting sedentary behavior are important to the optimal physical, psychosocial, and cognitive development in young children. The early care and education (ECE) setting is an important environment to support these behaviors, but few models exist to integrate intervention activities within a typical classroom schedule and support teachers’ professional development on their role in fostering healthy physical activity and sedentary behaviors in preschoolers. To identify opportunities within the classroom schedule that could be leveraged to improve children’s behaviors, secondary data analyses were conducted using a sample of 50 ECE centers that were assessed using four full-day observations and 559 children 3-5 years old within centers who wore accelerometers during observation days. Children were differentially active and sedentary based on typically occurring classroom activities and more active outdoors than indoors. Using self-reported teacher practices and perceptions within the same sample, we identified groupings of items using exploratory factor analysis related to teachers’ 1) physical activity and sedentary practices, 2) self-efficacy, and 3) center-level support. Overall, these factors had inconsistent, weak relationships with children’s MVPA and sedentary behavior. However, two practices (withholding physical activity as punishment and making play equipment available to children) showed significant, positive associations with children’s MVPA and significant, negative associations with children’s sedentary behavior. A 10-week intervention was developed and tested in a group-randomized controlled trial with 26 ECE teachers. Intervention teachers attended professional development workshops and were asked to modify pre-specified classroom activities and their practices. Children’s total physical activity (non-sedentary time) was measured in 182 children via accelerometry. Children in intervention classrooms had a higher total volume of physical activity at follow-up compared to children in the control group (480.2 ± 9.3 vs. 459.7 ± 9.4 counts per minute), but this was not statistically significant. The overall approach was well-received by teachers and could be modified in future interventions. This research provides novel information on patterns throughout the child care day and teacher practices to support children’s physical activity and reduce sedentary behavior, as well as promising intervention models that could be used to increase children’s physical activity and reduce sedentary behavior.Doctor of Philosoph

Nutrition and Rheumatoid Arthritis Onset: A Prospective Analysis Using the UK Biobank

Rheumatoid arthritis (RA) is a chronic inflammatory disease that affects the joints. The multifactorial etiopathogenesis of RA has been heavily investigated, but is still only partially understood. Diet can represent both a risk factor and a protective factor, based on some evidence that suggests specific properties of certain foods and their ability to increase/reduce inflammation. To date, the studies done on this topic provide discordant results and are heterogeneous in terms of design and cohort size. In this work, we investigated for the first time the relationship between nutrition and the risk of RA onset using a sample size of about half a million subjects from one of the largest publicly available biobanks that is the UK biobank. Results showed that oily fish, alcohol, coffee and breakfast cereals have protective roles in RA; whereas, tea can increase the risk of RA. In conclusion, the obtained results confirm that diet plays key roles in RA, either by promoting or by preventing RA onset and development. Future research should focus on unravelling the effects of dietary habits on immune-mediated diseases to establish better preventive strategies

Efficacy of an Enhanced Implementation Strategy to Increase Parent Engagement with a Health Promotion Program in Childcare

Previous efforts to involve parents in implementation of childcare-based health promotion interventions have yielded limited success, suggesting a need for different implementation strategies. This study evaluated the efficacy of an enhanced implementation strategy to increase parent engagement with Healthy Me, Healthy We. This quasi-experimental study included childcare centers from the second of two waves of a cluster-randomized trial. The standard approach (giving parents intervention materials, prompting participation at home, inviting participation with classroom events) was delivered in 2016–2017 (29 centers, 116 providers, and 199 parents). The enhanced approach (standard plus seeking feedback, identifying and addressing barriers to parent participation) was delivered in 2017–2018 (13 centers, 57 providers, and 114 parents). Parent engagement was evaluated at two levels. For the center-level, structured interview questions with providers throughout the intervention were systematically scored. For the parent-level, parents completed surveys following the intervention. Differences in parent engagement were evaluated using linear regression (center-level) and mixed effects (parent-level) models. Statistical significance was set at p \u3c 0.025 for two primary outcomes. There was no difference in parent engagement between approaches at the center-level, β = −1.45 (95% confidence interval, −4.76 to 1.87), p = 0.38l. However, the enhanced approach had higher parent-level scores, β = 3.60, (95% confidence interval, 1.49 to 5.75), p \u3c 0.001. In the enhanced approach group, providers consistently reported greater satisfaction with the intervention than parents (p \u3c 0.001), yet their fidelity of implementing the enhanced approach was low (less than 20%). Results show promise that parent engagement with childcare-based health promotion innovations can positively respond to appropriately designed and executed implementation strategies, but strategies need to be feasible and acceptable for all stakeholders

Contributions of Early Care and Education Programs to Diet Quality in Children Aged 3 to 4 Years in Central North Carolina

BACKGROUND: Parents and early care and education (ECE) are the key influencers of young children\u27s diets, but there is limited information about how each contribute to children\u27s overall diet quality. OBJECTIVE: This study aimed to determine what proportion of children\u27s dietary intake occurs within the ECE setting and whether diet quality is higher at ECE centers and, consequently, on weekdays than weekends. DESIGN: This cross-sectional analysis of a larger cluster randomized controlled trial used multiple 24-hour dietary intakes measured through a combination of the Dietary Observation in Child Care protocol and parent-reported food diaries. PARTICIPANTS/SETTING: Participants (N=840) included children aged 3 to 4 years enrolled in ECE centers in central North Carolina for whom 24-hour dietary intake was captured via observation of meals and snacks consumed at ECE and parent-report of all remaining meals and snacks. Data were collected from 2015 to 2016. MAIN OUTCOME MEASURES: Diet quality at ECE and elsewhere was evaluated using the Healthy Eating Index 2015. STATISTICAL ANALYSES PERFORMED: Mixed-effects models were used to determine differences in mean Healthy Eating Index 2015 component and total scores. Models were adjusted for children\u27s age and sex and accounted for clustering within ECE centers and families. RESULTS: Children consumed approximately 40% of daily energy, nutrients, and food groups at ECE centers. The mean total Healthy Eating Index 2015 score was higher for foods and beverages consumed at ECE centers (58.3±0.6) than elsewhere (52.5±0.6) (P \u3c 0.0001). The mean total Healthy Eating Index 2015 score was also higher on weekdays (58.5±0.5) than on weekends (51.3±0.5) (P \u3c 0.0001). CONCLUSIONS: Children consume a majority of dietary intake away from ECE centers. Overall, diet quality is low, but the quality of foods consumed by children at ECE centers is higher than that consumed elsewhere. ECE centers remain an important source of nutrition and further investigation is warranted to identify ways to support both ECE centers and families to provide healthier eating environments

Rugged landscapes: Complexity and implementation science

BACKGROUND: Mis-implementation-defined as failure to successfully implement and continue evidence-based programs-is widespread in public health practice. Yet the causes of this phenomenon are poorly understood. METHODS: We develop an agent-based computational model to explore how complexity hinders effective implementation. The model is adapted from the evolutionary biology literature and incorporates three distinct complexities faced in public health practice: dimensionality, ruggedness, and context-specificity. Agents in the model attempt to solve problems using one of three approaches-Plan-Do-Study-Act (PDSA), evidence-based interventions (EBIs), and evidence-based decision-making (EBDM). RESULTS: The model demonstrates that the most effective approach to implementation and quality improvement depends on the underlying nature of the problem. Rugged problems are best approached with a combination of PDSA and EBI. Context-specific problems are best approached with EBDM. CONCLUSIONS: The model\u27s results emphasize the importance of adapting one\u27s approach to the characteristics of the problem at hand. Evidence-based decision-making (EBDM), which combines evidence from multiple independent sources with on-the-ground local knowledge, is a particularly potent strategy for implementation and quality improvement

Opportunities to improve policy dissemination by tailoring communication materials to the research priorities of legislators

BACKGROUND: Communicating research to policymakers is a complex and difficult process. Ensuring that communication materials have information or design aspects that appeal to groups of policymakers with different priorities could be a substantive improvement over current dissemination approaches. To facilitate a more nuanced design of policy communication materials and message framing, we identified and characterized groups of state legislators based on how they prioritize different characteristics of research. METHODS: We used deidentified data collected in 2012 on 862 state legislators belonging to the US liberal-moderate-conservative ideological spectrum and from all 50 US states. Legislators were grouped using latent class analysis based on how they prioritized 12 different characteristics of research (e.g., research is unbiased, presents data on cost-effectiveness, policy options are feasible). We fit initial models using 1-6 group solutions and chose the final model based on identification, information criteria, and substantive interpretation. RESULTS: Most legislators placed a high priority on research that was understandable (61%), unbiased (61%), available at the time that decisions are made (58%), and brief and concise (55%). The best model identified four groups of state legislators. Pragmatic consumers (36%) prioritized research that was brief and concise, provided cost-effectiveness analyses, and was understandably written. Uninterested skeptics (30%) generally did not place a high priority on any of the research characteristics. Conversely, one-quarter of legislators (25%) belonged to the Highly Informed Supporters group that placed a high priority on most characteristics of research. Finally, Constituent-Oriented Decision Makers (9%) prioritized research that was relevant to their constituents, delivered by someone they knew or trusted, available at the time decisions were made, and dealt with an issue that they felt was a priority for state legislative action. CONCLUSIONS: To maximize the impact of dissemination efforts, researchers should consider how to communicate with legislators who have distinct preferences, values, and priorities. The groups identified in this study could be used to develop communication materials that appeal to a wide range of legislators with distinct needs and preferences, potentially improving the uptake of research into the policymaking process. Future work should investigate how to engage skeptical legislators