Tools for Assessing Cardiovascular Disease Risk Factors in Underserved Young Adult Populations: A Systematic Review.

Cardiovascular disease (CVD, i.e., disease of the heart and blood vessels) is a major cause of death globally. Current assessment tools use either clinical or non-clinical factors alone or in combination to assess CVD risk. The aim of this review was to critically appraise, compare, and summarize existing non-clinically based tools for assessing CVD risk factors in underserved young adult (18-34-year-old) populations. Two online electronic databases-PubMed and Scopus-were searched to identify existing risk assessment tools, using a combination of CVD-related keywords. The search was limited to articles available in English only and published between January 2008 and January 2019. Of the 10,383 studies initially identified, 67 were eligible. In total, 5 out of the 67 articles assessed CVD risk in underserved young adult populations. A total of 21 distinct CVD risk assessment tools were identified; six of these did not require clinical or laboratory data in their estimation (i.e., non-clinical). The main non-clinically based tools identified were the Heart Disease Fact Questionnaire, the Health Beliefs Related to CVD-Perception measure, the Healthy Eating Opinion Survey, the Perception of Risk of Heart Disease Scale, and the WHO STEPwise approach to chronic disease factor surveillance (i.e., the STEPS instrument).

Accuracy of self-reported BMI using objective measurement in high school students.

Self-reported measures for body mass index (BMI) are considered a limitation in research design, especially when they are a primary outcome. Studies have found some populations to be quite accurate when self-reporting BMI; however, there is mixed research on the accuracy of self-reported measurements in adolescents. The aim of this study is to examine the accuracy of self-reported BMI by comparing it with measured BMI in a sample of U.S. adolescents and to understand gender differences. This cross-sectional study collected self-reported height and weight measurements of students from five high schools in four states (Tennessee, South Dakota, Kansas and Florida). Trained researchers took height and weight of students for an objective measurement. BMI was calculated from both sources and categorized (underweight, normal, overweight and obese) using the Centers for Disease Control and Prevention's BMI-for-age percentiles. Participants (n 425; 51⋅0 % female) had a mean age of 16⋅3 years old, and the majority were White (47⋅5 %). Limits of agreement (LOA) analysis revealed that BMI and weight were underreported, and height was overreported in the overall sample, in females, and in males. LOA analysis was fair for BMI in all three groups. Overall agreement in BMI categorisation was considered substantial (Κ 0⋅71, P < 0⋅001). As BMI increased, more height and weight inaccuracies led to decreased accuracy in BMI categorisation, and the specificity of obese participants was low (50⋅0 %). This study's findings suggest that using self-reported values to categorize BMI is more accurate than using continuous BMI values when self-reported measures are used in health-related interventions.

A Modified Nominal Group Technique (mNGT) - Finding Priorities in Research.

Objectives: The objective of this study was to describe a modified nominal group technique (mNGT) approach to assess community health priorities and its application to a childhood obesity prevention project conducted with the high school population. Methods: This manuscript provides detailed information of a mNGT separately conducted with 3 cohorts, (students, teachers/administration, parents). Participants used a response sheet to brainstorm, document top 5 responses, and rank each response individually. We also used a unique reverse scoring method to quantify the qualitative data and within and between group scores for comparison against other cohorts. Summaries provided additional insight into the participants' perceptions. Results: The mNGT process successfully reduced limitations common to the traditional nominal group technique by providing an in-depth understanding of perceptions and understanding priorities. Conclusions: mNGT can be useful across other disciplines as a method of gathering rich qualitative feedback that can be transformed into a more quantitative form for analysis.

Cooking and Meal Planning as Predictors of Fruit and Vegetable Intake and BMI in First-Year College Students.

The objective was to determine if cooking skills and meal planning behaviors are associated with greater fruit and vegetable intake and lower body mass index (BMI) in first-year college students who are at risk for excessive weight gain. A cross-sectional analysis was conducted using baseline data from a multi-state research project aimed at preventing weight gain in first-year college students. Cooking type, frequency and confidence, self-instruction for healthful mealtime behavior intention, self-regulation of healthful mealtime behavior, and cup equivalents of fruits and vegetables (FV) were measured using validated surveys. BMI was calculated from measured height and weight. First-year students (n = 1108) considered at risk for weight gain from eight universities completed baseline assessments within the first month of entering college. Multiple linear regression was used to determine associations among independent variables of cooking patterns, meal planning behaviors, and dependent variables of fruit and vegetable intake and BMI, after controlling for the influence of sex. Cooking more frequently, cooking with greater skills, and practicing meal planning behaviors are associated with greater fruit and vegetable intake and lower BMI in first-year college students. Interventions aimed at improving health in college students may be enhanced by incorporating cooking and meal planning components.

Assessing Physical Activity, Fruit, Vegetable, and Sugar-Sweetened Beverage Intake Patterns of College Students in Kansas.

OBJECTIVE: To test the effectiveness of a 15-month intervention for reducing sugar-sweetened beverage (SSB) intake among college students and assess fruit and vegetable (F/V) intake and physical activity (PA) habits and their relationship to SSB intake. DESIGN: Randomized, controlled study. PARTICIPANTS: A total of 156 college students (aged 18-24 years) from a Kansas university, mostly female (72%), white (89%), and freshmen (51%). INTERVENTION: Two-staged intervention included participants receiving: (1) 3 weekly stage-tailored messages on healthful behaviors for 10 weeks; and (2) 3 monthly stage-tailored messages and 1 monthly e-mail encouraging a visit to the portal page, after the 3-month physical assessment. MAIN OUTCOME MEASURE(S): Stages of change for PA and F/V intake, self-reported PA scores, self-reported F/V intake, and SSB intake habits. ANALYSIS: Generalized linear mixed models and linear regression models were used to test changes and associations among outcome measures. RESULTS: No significant decrease occurred in SSB consumption (P > .05) among intervention participants. Both control and intervention groups recorded low F/V intake and moderate PA scores. CONCLUSIONS AND IMPLICATIONS: Low F/V intake and high SSB intake evident among study participants may pose risk for unwanted weight gain and obesity-related conditions. Furthermore, college campuses can continue to support an environment conducive for being physically active, while promoting healthy eating behaviors.