Fruit and vegetable intake at and away from school during participation in the FIT Game.

BACKGROUND: The FIT Game is a multicomponent school-based incentive program aimed at increasing children's fruit and vegetable (FV) intake. There has been no previous report on how playing the game at school influences FV intake away from school. AIM: To examine children's (n=37) FV intake away from school while participating in the FIT Game program at school. METHODS: FV intake away from school was assessed using the ASA24-Kids-2014 Dietary Assessment Tool. Paired samples t-tests and the generalized linear model repeated measures analysis of variance were used to examine the difference in children's mean FV intake away from school. RESULTS: During the final three days of the FIT Game intervention, we observed no change in FV consumption away from school (p=0.30). Similarly, no differences were observed between FV intake away from school before the implementation of the FIT Game and during the final three days (p=0.81). CONCLUSIONS: The FIT Game modestly decreased the children's FV intake in a nonstatistically significant manner away from school. Our previous report showed an increase in children's FV intake at school; thus, the net effect of the game was a significant increase in total daily FV intake.

Predictors of hip fracture mortality in Ghana: a single-center prospective study.

To determine risk factors influencing mortality in patients with proximal femur fractures in a Ghanaian hospital over a 4-year period. METHODS: Incidence of mortality was assessed among 76 participants with proximal femur fractures from January to December 2014 and followed up for 4 years. Outcomes of interest were mortality at 1 month, 6 months, 1 year, and 4 years. Hazard ratios (HRs) were calculated using Cox proportional hazards regression, adjusting for mortality risk factors. RESULTS: Among the 76 participants (mean age 75.8 years [SD = 12.02], 36 (47.4%) males), there were 21 death cases. The mean time of injury to surgery was 16.4 (SD = 16.2) days. Hip fractures comprised of 38 (50%) intertrochanteric, 35 (46.05%) transcervical, and 3 (3.95%) basicervical. Mortality at 1 month, 6 months, 1 year, and 4 years were 6.6%, 13.2%, 19.7%, and 27.6%, respectively. Multiple regression analysis showed a yearly increase in age that was associated with a 1.03-fold increase in the risk of death (p = 0.17). Comparing males to females, there was a significant difference in mortality (HR = 5.24, p = 0.03). Participants with basicervical hip fracture versus those with transcervical hip fracture were at higher risk of dying (HR = 28.88, p = 0.01). Patients with abnormal/low creatinine as compared to those with normal creatinine were at higher risk of dying (HR = 5.64, p = 0.005). Also, participants with an American Society of Anesthesiologists (ASA) score of III or IV were 2.73 times more likely to experience death than those with an ASA score of I or II (95% CI: 0.93-8.89, p = 0.08). Additionally, a higher risk of death was associated with patients with chronic obstructive pulmonary disease (COPD) (HR = 53.45, p = 0.001) and osteoporosis (HR = 8.75, p = 0.006). CONCLUSION: Being male, having basicervical hip fracture, abnormal/low creatinine, and a history of COPD and osteoporosis were the main predictors of mortality in the study population. These findings could serve as a guide when managing patients with proximal femur fractures to improve the outcome.

Nutrition care practice patterns for patients with COVID-19-A preliminary report.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 is a respiratory virus that poses risks to the nutrition status and survival of infected patients, yet there is paucity of data to inform evidence-based quality care. METHODS: We collected data on the nutrition care provided to patients with coronavirus disease 2019 (COVID-19) by registered dietitian nutritionists (RDNs). RESULTS: Hospitalized COVID-19 patients (N = 101) in this cohort were older adults and had elevated body mass index. The most frequent nutrition problems were inadequate oral intake (46.7%), inadequate energy intake (18.9%), and malnutrition (18.4%). These problems were managed predominantly with enteral nutrition, food supplements, and multivitamin-multimineral supplement therapy. Over 90% of documented problems required a follow-up. CONCLUSION: This data set is the first of its kind to report on the types of nutrition diagnoses and interventions for COVID-19 cases used by RDNs and highlights the need for increased and continued nutrition care.

Circulating Ionized Magnesium as a Measure of Supplement Bioavailability: Results from a Pilot Study for Randomized Clinical Trial.

Oral supplementation may improve the dietary intake of magnesium, which has been identified as a shortfall nutrient. We conducted a pilot study to evaluate appropriate methods for assessing responses to the ingestion of oral magnesium supplements, including ionized magnesium in whole blood (iMg2+) concentration, serum total magnesium concentration, and total urinary magnesium content. In a single-blinded crossover study, 17 healthy adults were randomly assigned to consume 300 mg of magnesium from MgCl2 (ReMag®, a picosized magnesium formulation) or placebo, while having a low-magnesium breakfast. Blood and urine samples were obtained for the measurement of iMg2+, serum total magnesium, and total urine magnesium, during 24 h following the magnesium supplement or placebo dosing. Bioavailability was assessed using area-under-the-curve (AUC) as well as maximum (Cmax) and time-to-maximum (Tmax) concentration. Depending on normality, data were expressed as the mean ± standard deviation or median (range), and differences between responses to MgCl2 or placebo were measured using the paired t-test or Wilcoxon signed-rank test. Following MgCl2 administration versus placebo administration, we observed significantly greater increases in iMg2+ concentrations (AUC = 1.51 ± 0.96 vs. 0.84 ± 0.82 mg/dL·24h; Cmax = 1.38 ± 0.13 vs. 1.32 ± 0.07 mg/dL, respectively; both p < 0.05) but not in serum total magnesium (AUC = 27.00 [0, 172.93] vs. 14.55 [0, 91.18] mg/dL·24h; Cmax = 2.38 [1.97, 4.01] vs. 2.24 [1.98, 4.31] mg/dL) or in urinary magnesium (AUC = 201.74 ± 161.63 vs. 139.30 ± 92.84 mg·24h; Cmax = 26.12 [12.91, 88.63] vs. 24.38 [13.51, 81.51] mg/dL; p > 0.05). Whole blood iMg2+ may be a more sensitive measure of acute oral intake of magnesium compared to serum and urinary magnesium and may be preferred for assessing supplement bioavailability.