Suchergebnisse

Calcium intake declines from late adolescence to young adulthood, in part, due to decreases in accessibility to milk and dairy products. While milk vending has shown demonstrated success in secondary schools, no studies have examined whether milk vending improves calcium intake among college students. We hypothesized that milk and calcium intake would be higher among college students given access to milk vending in their dormitory (milk vending consumers) compared to those lacking access in their dormitory (non-milk vending consumers). Milk vending machines were installed in two dormitories, and two dormitories having non-milk beverage vending served as comparison sites. Students completed a calcium intake questionnaire at the point of milk (n = 73) or non-milk (n = 79) beverage vending purchases. Mean total calcium intake was higher in milk vending consumers (1245 + 543 mg/d) compared to non-milk vending consumers (1042 + 447 mg/d) (p = 0.01). Adjusting for gender and milk vending consumer status, there was a positive association between past month milk vending purchases and daily calcium intake from milk (p < 0.001). Fiftyseven students without in-dormitory access to milk vending reported an interest in milk vending if made available. Milk vending may serve as a novel approach.

Purpose: Our objective is to evaluate the "reach" component of the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework by comparing prediabetics who were and were not interested in enrolling in a free work site diabetes prevention program (DPP) during the first year of the program. Reach is defined as the proportion of eligible participants who enroll in a health program. Design: A cross-sectional study design was used. Setting: The setting was a large health system in the Midwest. Participants: Prediabetic health plan enrollees and spouses (N = 2158). Measures: An online health survey, annual voluntary biometric screenings delivered by a trained health-care professional using standardized protocols via point-of-care testing, and records from the DPP office were the sources of data for this study. Analysis: Health behaviors and biometric screening results were simultaneously compared using multivariable logistic regression. Results: The study population was 63% female, 79% white, and 16% black, and the mean age was 50.2 years (SD = 10.2). The reach of this program was 10%. Prediabetics were more likely to express interest in the DPP, if they were female (adjusted odds ratio [AOR]: 2.4; 95% confidence interval [95% CI]: 1.55-3.72; P < .001), black (AOR = 2.23; 95% CI: 1.43-3.47; P < .001), older in age (AOR: 1.08; 95% CI: 0.99-1.17; P = .05), or had a high-risk waist circumference (AOR = 1.44; 95% CI: 0.98-2.13; P = .07), lower self-efficacy to make healthy changes (AOR = 0.48; 95% CI: 0.26-0.91; P = .03), and 5 or more doctor visits in the last year (AOR = 2.13; 95% CI: 0.99-4.57; P = .05), after controlling for other covariates. Conclusion: Current recruitment and implementation strategies are reaching only a small group of individuals who are not representative of the larger prediabetic population. These findings inform future engagement strategies, and we recommend that public health practitioners evaluate reach to ensure that health promotion programs are of high value.