Self-reported height and weight, if accurate, provide a simple and economical method to track changes in body weight over time. Literature suggests adults tend to under-report their own weight and that the gap between self-reported weight and actual weight increases with obesity. This study investigates the extent of discrepancy in self-reported height, weight, and subsequent Body Mass Index (BMI) versus actual measurements in young adults. Physically measured and self-reported height and weight were taken from 1562 students. Male students marginally overestimated height, while females were closer to target. Males, on average, closely self-reported weight. Self-reported anthropometrics remained statistically correlated to actual measures in both sexes. Categorical variables of calculated BMI from both self-reported and actual height and weight resulted in significant agreement for both sexes. Researcher measured BMI (via anthropometric height and weight) and sex were both found to have association with self-reported weight while only sex was related to height difference. Regression examining weight difference and BMI was significant, specifically with a negative slope indicating increased BMI led to increased underestimation of weight in both sexes. This study suggests self-reported anthropometric measurements in young adults can be used to calculate BMI for weight classification purposes. Further investigation is needed to better assess self-reported vs measured height and weight discrepancies across populations.

Within lifestyle behavior research, the sex of populations causes differences in behaviors and outcomes of studies. This cross-sectional study investigated lifestyle behavior patterns in college students, examining sex differences in four areas: Nutrition, physical activity, sleep, and stress. Data from over 1100 college freshmen across 8 United States universities were used for this cross-sectional analysis. Self-reported data assessed fruit and vegetable intake, fat percent intake, physical activity, perceived stress, and sleep quality. Statistical analysis included Pearson chi-squared and Mann–Whitney’s U tests for scores by sex. Likewise, healthy cut-offs were used to determine frequency of participants within range of the five tools. Males reported higher intake of both fruits and vegetables, and percent energy from fat than females. Males also reported higher physical activity levels, lower stress levels, and poorer sleep quality than females. Of the five self-reported tools, males were found to have a larger frequency of participants with healthy ranges than females. In a large college freshmen sample, sex was found to be related to general lifestyle behaviors which strengthen results reported in the previous literature. These findings shed light on the need for lifestyle behavior interventions among at-risk college students to enhance their behaviors to healthy levels.

Objective/Introduction Lengthy surveys have the potential to burden users and can lead to inaccuracies. Conducting analyses to shorten existing validated surveys is beneficial. The objective, therefore, was to shorten the Pittsburgh Quality Sleep Index (PSQI) for young adults. Methods PSQI data from 1246 college students were used. An exploratory factor analysis (FA) was utilized to shorten survey after dropping select items. Nonparametric correlation analysis (Spearman's rho) was conducted between the global sleep scores of the shortened and original surveys. Agreements tests (Kappa and McNemar's test) measured the agreement of the surveys and sensitivity and specificity were evaluated. Results Six factors were examined using maximum likelihood factoring method, applying squared multiple correlations with Promax rotation to allow for correlated variables. FA with six factors explained 100% of shared variance based on eigenvalues and accounted for 61% of variability based on variables. The FA resulted in 13 selected questions (“shortPSQI”), corresponding to 5 of the 7 components of the original survey. High correlation was found between the global scores of the original survey and the “shortPSQI” (rho = 0.94, p < 0.001). When the global score was converted to the categorical variable of good or poor sleepers, the agreement test indicated strong agreement (Kappa 0.83, 95% CI 0.79–0.86, p < 0.0001). Conclusion The validated, 19-item PSQI survey was shortened to 13 items. Tests of correlation and agreement indicate the “shortPSQI” may be an acceptable alternative to the original survey for young adults. Clinical Trial Registration Data for this study was taken from the Get Fruved study, registered on October 21, 2016, on clinicaltrials.gov (NCT02941497).

The COVID-19 pandemic has caused alterations to be made in the way many people access, prepare, and consume food. Rural communities are particularly impacted due to pre-existing structural vulnerabilities, i.e., poverty, lack of infrastructure, and limited fresh food options. This study aimed to characterize experiences of one rural Appalachian community’s changes to the food environment during the pandemic. In April 2021, six focus groups were conducted with residents of Laurel County, Kentucky. Using grounded theory, we identified losses, gains, and overall changes to the community food environment since the onset of COVID-19. Seventeen Laurel Countians (17 female; ages 30–74) participated in the six focus groups. Three main themes emerged regarding food environment changes—(1) modifications of community food and nutrition resources, (2) expansion and utilization of online food ordering, and (3) implications of the home food environment. Rural communities faced considerable challenges during the COVID-19 pandemic, in part, due to gaps in existing infrastructure and loss of pre-existing resources. This study illustrates the complexity of changes occurring during COVID-19. Using the preliminary data obtained, we can better understand pre-existing issues in Laurel County and suggestions for future programming to address the inequitable access and response during public health emergencies and beyond.

Objective: To examine health behavior and environmental perception differences among vegetarian and nonvegetarian students.Participants: First-year university students (n=1078) from eight United States universities.Methods: Data were obtained from base 2015 and followup 2016 assessments. Vegetarians and nonvegetarians were compared for anthropometrics, lifestyle behaviors, and campus environmental perceptions (CEPS).Results: Vegetarians had smaller waist circumference, lower systolic blood pressure, higher fruit and vegetable consumption, lower percentage of energy obtained from fat, and higher perceived stress. Vegetarians expressed a lower rating of perceptions of health policies on campus.

Objective: To evaluate barriers to dissemination and implementation and perceptions of the Evidence-Based Forecast Capture, Assemble, Sustain, Timelessness (eB4CAST) dissemination infographic tool as part of iCook 4-H dissemination. Design: Online surveys and phone interviews. Participants: Experts (n = 35) in community research completed the survey; 13 completed the interview. Main Outcomes Measure: Experts' perceptions of eB4CAST reports used for iCook 4-H dissemination. Analysis: Frequency and thematic analysis. Results: Survey respondents agreed (85%) that the eB4CAST infographic provided a clear understanding of iCook 4-H and relevant information (83%). Statistics included in the infographic were reported as easily understood (66%). Respondents (83%) stated that the infographic would be helpful to share outcomes with stakeholders. Thematic analysis showed that the majority of interviewees agreed that eB4CAST infographics might aid in overcoming barriers to dissemination and implementation including communication and community ownership. Conclusions and Implications: This study provides perceptions from experts regarding the value of using eB4CAST infographics as a tool to disseminate the impact of a community nutrition program.

Following rising unemployment rates and consequent loss of income due to COVID-19, many people have been seeking meal assistance. This study examines the impact of a community-based free meal distribution program during the pandemic in Kentucky, reviewing characteristics of recipients of the program. Demographics, health behaviors, food insecure classification, and rating of importance of the meal program were collected. Qualitative feedback on the impact of the program was collected via open response. Of the 92 participants using the meal service, the cohort was female, Black, 43 years of age (43.5 ± 15.0 years), with a household income under 30,000 USD before COVID, decreased income since COVID, and were food insecure. Recipients rated the importance of the service as 8.7 ± 1.8 (of 10), and those with children indicated the importance as 4.2 ± 1.1 (of 5). Qualitative data on program importance highlighted four response categories including “changed habits”, “mental wellbeing”, “provided resources”, and “other”. In response to the COVID-19 pandemic, many individuals have struggled. Meal assistance programs are a fundamental asset in the community that have seen marketed demand since COVID-19. Collaboration with, and evaluation of, meal assistance programs can be valuable for continued programmatic funding support.

eB4CAST, evidence-Based forecast C-capture, A-assemble, S-sustain, T-timelessness (eB4CAST), framework was developed from existing dissemination and implementation (D & I) constructs as a dissemination tool to promote community-based program usability and future application in targeted populations. eB4CAST captures and transforms research findings into a dissemination report that shows program need and impact to endorse program continuation and expansion. This is achieved through direct and indirect data collection of community factors and program impact that can showcase the need for program sustainability and potential for future dissemination sites. Testimonials, individual feedback, and program process and outcomes contribute to the direct data while data collected from census, county, and state databases and reports allow for indirect information to be captured and analyzed. Capturing data in the two levels allow eB4CAST to forecast program need and highlight program impact through a footprint. eB4CAST framework for dissemination tool creation is organized into four sections: Capture, Assemble, Sustainability, and Timelessness. Capture encompasses the collection of indirect and direct data related to intervention goals. Assemble is the compilation of the data into a visually appealing and easily understood media. Sustainability encourages the use of dissemination tools to provide forecast of program need and footprint of program impact back to community participants, program leaders, and key stakeholders to endorse program sustainability. Lastly, timelessness encourages cyclic movement through these constructs to continue program monitoring and data sharing to ensure timeless program evaluation and conformation to change in needs. The eB4CAST framework provides a systematic method to capture justification of program need and impact of community-based research that can be modified to fit diverse public health interventions providing a necessary D & I tool.