Background The National Diabetes Prevention Program (DPP) has made great strides in increasing accessibility to its year-long, evidence-based lifestyle change program, with around 3000 organizations having delivered the program. This large dissemination effort offers a unique opportunity to identify organization-level factors associated with program implementation and reach (enrollment) across diverse settings. The purpose of this study was to quantitatively examine the relationships among Consolidated Framework for Implementation Research (CFIR) Inner Setting and Outer Setting constructs and the implementation outcome of reach. Methods This study analyzed data from a 2021 cross-sectional online survey with 586 National DPP Staff (lifestyle coaches, master trainers, program coordinators) with information about their organization, implementation outcomes, and responses to quantitative CFIR Inner Setting and Outer Setting construct items. Structural equation modeling was used to test a hypothesized path model with Inner and Outer Setting variables to explore direct and indirect pathways to enrollment. Results The CFIR items had good internal consistency and indicated areas of implementation strength and weakness. Eight variables included as part of the CFIR structural characteristics and one organization characteristic variable had significant direct relationships with enrollment. The length of delivery, number of lifestyle coaches, number of full-time staff, large organization size, and organizations delivering in rural, suburban, and/or urban settings all had positive significant direct relationships with enrollment, while academic organizations and organizations with only non-White participants enrolled in their National DPP lifestyle change programs had a negative association with enrollment. Conclusions Participant reach is an important implementation outcome for the National DPP and vital to making population-level decreases in diabetes incidence in the USA. Our findings suggest that to facilitate enrollment, program implementers should focus on organizational structural characteristics such as staffing. Strengths of this study include the use of adapted and newly developed quantitative CFIR measures and structural equation modeling. Health prevention programs can use the methods and findings from this study to further understand and inform the impact of organization factors on implementation outcomes.

Introduction Since the launch of the National Diabetes Prevention Program (DPP) in 2010, more than 3,000 organizations have registered with the Centers for Disease and Control and Prevention to deliver the program; today, however, only approximately 2,000 organizations are registered, indicating challenges with sustainability. We used the Program Sustainability Assessment Tool (PSAT) to explore patterns of sustainability capacity among National DPP delivery organizations. Methods We used data from a cross-sectional online survey conducted in August and September 2021 of staff members (N = 440) at National DPP delivery organizations. We conducted a latent profile analysis to identify latent subpopulations on the basis of respondent PSAT domain scores. Regression analyses were used to estimate associations between derived latent classes, PSAT scores, and respondent characteristics. Results The 4-class model included 4 groups of capacity for program sustainability, ranging from low to high: low (class 1) with 8.0% of the sample, medium-low (class 2) with 22.0%, medium-high (class 3) with 41.6%, and high (class 4) with 28.4%. Program evaluation (mean score = 5.1 [SD = 1.4]) and adaptation (mean score = 5.3 [SD = 1.3]) were the domains with the highest scores, while funding stability (mean score = 4.0 [SD = 1.6]) and Partnerships (mean score = 4.0 [SD = 1.7]) had the lowest scores. In our sample of National DPP delivery organizations, most reported relatively high capacity for program sustainability, and key indicators associated with sustainability capacity were virtual delivery, location of delivery, funding sources, and organization type. Discussion Similar to sustainability capacity findings from other PSAT studies, our study found that funding stability and partnerships are areas to strengthen. This insight is useful in sustainability planning at organizational and national levels across multiple programs.

Objective: This study examined relationships between dimensions of social capital (SC) (social trust, network diversity, social reciprocity and civic engagement) and fruit, vegetable, and sugar-sweetened beverage (SSB) consumption among rural adults. Potential moderators (neighbourhood rurality, food security, gender and race/ethnicity) were explored to develop a more nuanced understanding of the SC–healthy eating relationship. Design: Data were from a 2019 mailed population-based survey evaluating an eleven-county initiative to address health equity. Participants self-reported health behaviours, access to health-promoting resources and demographics. Logistic regression models were used to analyse relationships between predictors, outcomes and moderators. Setting: Five rural counties, Georgia, USA. Participants: 1120 participants. Results: Among participants who lived in the country (as opposed to in town), greater network diversity was associated with consuming ≥ 3 servings of fruit (OR = 1·08; 95 % CI 1·01, 1·17, P = 0·029), yet among participants who lived in town, greater civic engagement was associated with consuming ≥ three servings of fruit (OR = 1·36; 95 % CI 1·11, 1·65, P = 0·003). Both food-secure and food-insecure participants with greater social reciprocity had lower odds of consuming 0 SSB (OR = 0·92; 95 % CI 0·86, 0·98, P = 0·014, OR = 0·92; 95 % CI 0·86, 0·99, P = 0·037, respectively). Men with greater social trust were more likely to consume 0 SSB (OR = 1·09; 95 % CI 1·01, 1·18, P = 0·038), and Whites with greater network diversity were more likely to meet daily vegetable recommendations (OR = 1·10; 95 % CI 1·01, 1·19, P = 0·028). Conclusions: Findings provide a basis for future qualitative research on potential mechanisms through which SC and related social factors influence healthy eating in rural communities.

Importance: Extreme heat poses a distinct risk to the 2.1 million incarcerated people in the United States, who have disparately high rates of behavioral health conditions. Suicide is a leading cause of death among people in prisons. Objective: To examine associations of extreme heat, solitary confinement, and an indicator of suicidal behaviors among incarcerated men in a Deep South US prison system. Design, Setting, and Participants: This longitudinal case series panel study included adult men in prisons in Louisiana, a state with one of the largest prison systems in the United States that has been engaged in litigation due to lack of air conditioning and extreme heat. The unit of analysis was prison facility-days. A facility-level data set was created by merging administrative data files, which included demographic characteristics, health classification, housing location and movement, disciplinary records, and involvement in suicide-watch incidents for all incarcerated men in Louisiana during the observation period. Individual-level variables were aggregated to facility-days to merge in daily maximum heat index data from the US Local Climatological Data, which were linked to the zip codes of prisons. The observation period was January 1, 2015, to December 31, 2017. Data set construction occurred from August 2020 to September 2022, and analysis was conducted from December 2022 to February 2023. Exposure: The focal exposure was extreme heat days. Daily maximum heat index data were categorized into 6 bins (<30 °F, 30-39 °F, 40-49 °F, 50-59 °F, 70-79 °F, and ≥80 °F) and as an indicator for any facility-day where the maximum heat index exceeded the 90th percentile of heat indices for total days in observation period. Conditional fixed-effects negative binomial regression models were used to calculate incident rate ratios to test associations between extreme heat and suicide watch incidents, while controlling for covariates. Main Outcomes and Measures: The focal outcome was daily count of suicide watch incidents that were recorded in a carceral system database. Covariates included daily percentages of incarcerated persons at each prison with serious mental illness diagnosis, daily rate of solitary confinement, and total facility population. Results: The sample of 6 state-operated prisons provided 6576 facility-days for the analysis. Results suggest a dose-responsive association between extreme heat and daily counts of suicide-watch incidents; compared with days with temperatures between 60 and 69 °F, the rate of daily suicide incidents increased by 29% when the heat index reached the level of caution (ie, 80-89 °F) and by 36% when reaching extreme caution (90-103 °F) (80-89 °F: incidence rate ratio [IRR], 1.29; 95% CI, 1.17-1.43; P <.001; 90-103 °F: IRR, 1.36; 95% CI, 1.15-1.61; P <.001). Compared with other days, those with the extreme heat indicator were significantly associated with a 30% increase in the incident rate of daily suicide-watch incidents (IRR, 1.30; 95% CI, 1.18-1.45; P <.001). Conclusions and Relevance: Findings suggest an association between extreme heat and an indicator of suicidality among an incarcerated sample, contribute to an emerging literature exploring linkages between climatological events and health outcomes in prisons, and may have implications for legal interventions and advocacy seeking to abate heat-induced morbidity and mortality in carceral contexts..

Background: Parental reports are commonly used for adolescent HPV vaccination status but may be subjected to bias. Guided by the Socioecological Framework, our study explores potential multilevel factors influencing the inaccuracy of parental reports of adolescent HPV vaccination status. Methods: Data from parents of 19,683 adolescents with provider-verified data were analyzed using multilevel modeling. Correlates included adolescent characteristics, parent/household factors, number of providers seen, state-level median income, and state-level HPV vaccine policy. Outcomes included inaccuracy in reporting: vaccine initiation (≥1 dose), completion (3 doses), and number of doses. Results: 24% and 25% of parents reported initiation and completion inaccurately; 28% under-reported and 11% over-reported number of doses. All adolescent characteristics, parent/household factors, and number of healthcare providers seen were associated with the outcomes. Of note, compared to parents of White adolescents, parents of racial/ethnic minority adolescents were more likely to inaccurately report all outcomes (aOR ranges from 1.43 to 1.76 for initiation, 1.45–1.75 for completion, 1.98–2.05 for under-reporting, and 1.17–1.41 for over-reporting). Households with higher maternal education (aOR = 0.70, 0.92, 0.79, and 0.80) and income (aOR = 0.54, 0.62, 0.50, and 0.70) were less likely to inaccurately report initiation, report completion, under-report, and over-report, respectively. Those having seen more providers were less likely to inaccurately report initiation and completion but more likely to over-report number of vaccine doses. Discussion: Being parents of females, older adolescents, and racial/ethnic minority adolescents, having lower material education, and poverty status were associated with higher odds of inaccurately reporting HPV vaccination status. These results have implications for estimates drawn from self-reports. Future research can examine sources of inaccuracies (e.g., social desirability or health literacy); they could also explore solutions (e.g., access to vaccine records) that can help parents accurately report vaccination status. State policy does not appear to have an impact on report accuracy.

Licensee MDPI, Basel, Switzerland. The goal of this research was to assess patterns of beverage consumption and the contribution of total beverages and classes of beverages to overall energy intake and weight status. We conducted an analysis in a community-based study of 280 low-income overweight and obese African American women residing in the rural South. Participants provided baseline data including demographic characteristics, weight and two 24-h food and beverage dietary recalls. Mean energy intake from beverages was approximately 273 ± 192 kcal/day or 18.3% of total energy intake. The most commonly reported beverage was plain water, consumed by 88.2% of participants, followed closely by sweetened beverages (soft drinks, fruit drinks, sweetened teas, sweetened coffees and sweetened/flavored waters) consumed by 78.9% of participants. In multiple regression analyses total energy and percent energy from beverages and specific categories of beverages were not significantly associated with current body mass index (BMI). It is widely accepted that negative energy balance may lead to future weight loss. Thus, reducing consumption of beverages that contribute energy but not important nutrients (e.g., sugar sweetened beverages) could be an effective strategy for promoting future weight loss in this population.

BACKGROUND: Low income and uninsured individuals often have lower adherence to cancer screening for breast, cervical and colorectal cancer. Health fairs are a common community outreach strategy used to provide cancer-related health education and services. METHODS: This study was a process evaluation of seven health fairs focused on cancer screening across the U.S. We conducted key-informant interviews with the fair coordinator and conducted baseline and follow-up surveys with fair participants to describe characteristics of participants as well as their experiences. We collected baseline data with participants at the health fairs and telephone follow-up surveys 6 months following the fair. RESULTS: Attendance across the seven health fairs ranged from 41 to 212 participants. Most fairs provided group or individual education, print materials and cancer screening during the event. Overall, participants rated health fairs as very good and participants reported that the staff was knowledgeable and that they liked the materials distributed. After the fairs, about 60% of participants, who were reached at follow-up, had read the materials provided and had conversations with others about cancer screening, and 41% talked to their doctors about screening. Based on findings from evaluation including participant data and coordinator interviews, we describe 6 areas in planning for health fairs that may increase their effectiveness. These include: 1) use of a theoretical framework for health promotion to guide educational content and activities provided, 2) considering the community characteristics, 3) choosing a relevant setting, 4) promotion of the event, 5) considerations of the types of services to deliver, and 6) evaluation of the health fair. CONCLUSIONS: The events reported varied in reach and the participants represented diverse races and lower income populations overall. Most health fairs offered education, print materials and onsite cancer screening. Participants reported general satisfaction with these events and were motivated through their participation to read educational materials or discuss screening with providers. Public health professionals can benefit from this process evaluation and recommendations for designing and evaluating health fairs.

BACKGROUND: Adaptations of evidence-based interventions (EBIs) often occur. However, little is known about the reasons for adaptation, the adaptation process, and outcomes of adapted EBIs. To address this gap, we conducted a systematic review to answer the following questions: (1) What are the reasons for and common types of adaptations being made to EBIs in community settings as reported in the published literature? (2) What steps are described in making adaptations to EBIs? and (3) What outcomes are assessed in evaluations of adapted EBIs?METHODS: We conducted a systematic review of English language publications that described adaptations of public health EBIs. We searched Ovid PubMed, PsycINFO, PsycNET, and CINAHL and citations of included studies for adapted public health EBIs. We abstracted characteristics of the original and adapted populations and settings, reasons for adaptation, types of modifications, use of an adaptation framework, adaptation steps, and evaluation outcomes.RESULTS: Forty-two distinct EBIs were found focusing on HIV/AIDS, mental health, substance abuse, and chronic illnesses. More than half (62%) reported on adaptations in the USA. Frequent reasons for adaptation included the need for cultural appropriateness (64.3%), focusing on a new target population (59.5%), and implementing in a new setting (57.1%). Common adaptations were content (100%), context (95.2%), cultural modifications (73.8%), and delivery (61.9%). Most study authors conducted a community assessment, prepared new materials, implemented the adapted intervention, evaluated or planned to evaluate the intervention, determined needed changes, trained staff members, and consulted experts/stakeholders. Most studies that reported an evaluation (k = 36) included behavioral outcomes (71.4%), acceptability (66.7%), fidelity (52.4%), and feasibility (52.4%). Fewer measured adoption (47.6%) and changes in practice (21.4%).CONCLUSIONS: These findings advance our understanding of the patterns and effects of modifications of EBIs that are reported in published studies and suggest areas of further research to understand and guide the adaptation process. Furthermore, findings can inform better reporting of adapted EBIs and inform capacity building efforts to assist health professionals in adapting EBIs.

Limited public health research has used psychographic profiling to segment young adults and examine their substance use behaviors. We aimed to conduct market research to identify young adult market segments at risk for alternative tobacco products (ATPs), alcohol, and marijuana use. Substance use; psychographics per the Values, Attitudes, and Lifestyle Scale (VALS); and other key variables were assessed at baseline in a longitudinal study of 3,418 students aged 18–25 from seven colleges/universities in the state of Georgia. Cluster analysis was conducted on VALS factors to identify distinct segments. Regression examined segments in relation to substance use risk. Past 30-day use prevalence for each substance was as follows: cigarettes, 13.3%; little cigars/cigarillos (LCCs), 11.2%; smokeless tobacco (SLT), 3.6%; e-cigarettes, 10.9%; hookah, 12.2%; alcohol, 63.1%; and marijuana, 19.0%. Five segments were identified, created, and named: Conventionals, Simple Lifes, Open Minds, Confident Novelty-seekers, and Stoic Individualists. Controlling for sociodemographics, Open Minds, Confident Novelty-seekers, and Stoic Individualists (vs. Conventionals [referent]) were more likely to smoke cigarettes. Confident Novelty-seekers were more likely to use LCCs. Simple Lifes were less likely to use SLT. Open Minds and Confident Novelty-seekers were more likely to use e-cigarettes. Open Minds were more likely and Simple Lifes were less likely to use hookah. Open Minds were more likely to use alcohol; Simple Lifes and Stoic Individualists were less likely to use alcohol. Open Minds were more likely to use marijuana. Market research is an effective strategy for identifying young adults at risk for using distinct ATPs and can inform targeted health campaigns and cessation interventions.

BACKGROUND: Web-based survey research has several benefits, including low cost and burden, as well as high use of the Internet, particularly among young adults. In the context of longitudinal studies, attrition raises concerns regarding the validity of data, given the potential associations with individual and institutional characteristics, or the focal area of study (eg, cigarette use). OBJECTIVES: The objective of this study was to compare baseline characteristics of nonresponders versus responders in a sample of young adult college students in a Web-based longitudinal study regarding tobacco use. METHODS: We conducted a secondary data analysis of 3189 college students from seven Georgia colleges and universities in a 2-year longitudinal study. We examined baseline tobacco use, as well as individual- and institutional-level factors, as predictors of attrition between wave 1 (October and November 2014) and wave 2 (February and March 2015) using multilevel modeling. Results: A total 13.14% (419/3189) participants were lost to follow-up at wave 2. Predictors of nonresponse were similar in the models examining individual-level factors and institutional-level factors only and included being black versus white (odds ratio [OR] 1.74, CI 1.23-2.46); being male versus female (OR 1.41, CI 1.10-1.79); seeking a bachelor's degree versus advanced degree (OR 1.41, CI 1.09-1.83); not residing on campus (OR 0.62, CI 0.46-0.84); past 30-day tobacco use (OR 1.41, CI 1.10-1.78); attending a nonprivate college (OR 0.48, CI 0.33-0.71); and attending a college with ≤10,000 students (OR 0.56, CI 0.43-0.73). CONCLUSIONS: Future longitudinal studies should assess predictors of attrition to examine how survey topic and other individual and institutional factors might influence the response to allow for correction of selection bias.