Pain Management After Cesarean Delivery Among Women with Opioid Use Disorder: Results from a Retrospective Pregnancy Cohort in a Rural Region of the Midwest.

Background: Increasing numbers of pregnant women are being treated with buprenorphine for opioid use disorder (OUD), which can interfere with effectiveness of other opioids used for pain relief, making perioperative guidance for patients requiring cesarean delivery unclear. Methods: Using a retrospective cohort design, we abstracted 8 years of medical records (2013-2020) from a hospital in rural Michigan. We compared analgesic use (as a proxy for pain) and hospital length of stay (LOS) between groups of women with OUD whose buprenorphine treatment was (1) discontinued before cesarean delivery (discontinuation) versus (2) continued throughout the perioperative period (maintenance). We used t-tests and Fisher's Exact tests for comparison of continuous and categorical variables, respectively. Results: Maternal characteristics reflected the local population (87% non-Hispanic White; 9% American Indian). Of 12,179 mothers giving birth during the study timeframe, 87 met all inclusion criteria (2.4% with diagnosed OUD; 38% of those delivered by cesarean; 76% of those received prenatal buprenorphine treatment). Using the first 2 days of the hospital stay as the standard time window for comparison, there were no differences in perioperative opioid analgesic use (mean ± standard deviation [SD] = 141.6 ± 205.4 vs. 134.0 ± 136.3 morphine milligram equivalents, p = 0.89) or LOS (mean ± SD = 2.9 ± 0.9 vs. 3.3 ± 1.0 days, p = 0.14) between discontinuation (n = 17) versus maintenance (n = 70). There was a lower use of acetaminophen in the discontinuation group (mean ± SD = 3,842.6 ± 2,108.1 vs. 4,938.2 ± 2,008.4 mg, p = 0.0489). Conclusion: This study provides empirical evidence supporting continued buprenorphine treatment for women with OUD throughout the perioperative period of a cesarean delivery in a rural setting, although replication with larger sample sizes would provide more confidence in the results.

Diet quality of NCAA Division I athletes assessed by the Healthy Eating Index.

Optimizing diet quality is an important concept for college athletes. Purpose: To evaluate dietary quality of National Collegiate Athletic Association (NCAA) Division I athletes. Methods: Total 94 college athletes (n= 21 male, 73 female) from 19 different varsity teams at a single university completed a 24-hour dietary recall using the Automated Self-Administered 24-hour (ASA24) Dietary Assessment Tool. Diet quality was assessed using the Healthy Eating Index (HEI) with higher scores indicating better diet quality (range 0-100). Results: The average HEI score for the total sample was 59.2 ± 16.6 and only nine athletes achieved an HEI score ≥ 80. There were no significant differences in HEI scores between sexes, class, majors, sport played, or those who did or did not report taking previous nutrition coursework. Conclusions: The dietary quality was poor based on US dietary guidelines for the general population, which could have negative effects on health and performance.

Supporting family meal frequency: Screening Phase results from the Simply Dinner Study.

We aimed to test main, additive, interactive effects, and feasibility of all possible combinations of six intervention components implemented for 8 weeks (Cooking/Serving Resources; Meal Delivery; Ingredient Delivery; Community Kitchen; Nutrition Education; Cooking Demonstrations). Primary outcomes were family meal frequency and preschoolers' dietary quality; secondary outcomes included family meal preparation type, meal preparation barriers, family functioning, and kitchen inventory adequacy. All possible intervention combinations were tested using a randomized factorial trial design in the first phase of a Multiphase Optimization Strategy (MOST). Feasibility was assessed via attendance, delivery logs, and satisfaction. Parent-reported data collection included: socio-demographics, frequency and type of family meals; preschooler dietary intake; perceived barriers to meal planning and preparation; assessment of family functioning; and a kitchen inventory of materials generally needed for meal preparation. Participants (n = 499) were recruited at two Head Start agencies in mid-Michigan with data collection and delivery of some intervention components in participants' homes. Promising intervention bundles were identified by evaluating pre-to post-intervention effect sizes. The combination of Cooking/Serving Resources and Meal Delivery increased family meal frequency (Cohen's d = 0.17), cooking dinner from scratch (d = 0.21), prioritization of family meals (d = 0.23), and kitchen inventory (d = 0.46) and decreased use/consumption of ready-made (d = -0.18) and fast foods (d = -0.23). Effects on diet quality were in the expected direction but effect sizes were negligible. Community Kitchen, Nutrition Education, and Cooking Demonstration showed poor feasibility due to low attendance while Ingredient Delivery was infeasible due to staffing challenges related to its labor intensity. Additionally, although not one of our pre-specified outcomes, Cooking/Serving Resources (RR = 0.74) and Meal Delivery (RR = 0.73) each decreased food insecurity. Cooking/Serving Resources combined with Meal Delivery showed promise as a strategy for increasing family meal frequency.

The healthfulness of children's meals when multiple media and devices are present.

Although television viewing during mealtime has been shown to associate with greater consumption of energy-dense foods, little is known about how new technological devices may influence children's food consumption. Because the number and type of media accessible to children continue to increase, this study examines the association between the presence of various media (TVs, mobile devices, video games, laptops) during mealtime and the healthfulness of children's meals. In this study, 61 primary caregivers of children ages 3-5 years and 10-13 years old participated in video-recorded dinner meals, which were reliably coded for media use, including number of media present. The overall healthfulness of the meals was coded using the Healthy Meal Index (HMI). Linear regression models were used to examine associations between number of media devices present during the meal and HMI, adjusting for parental education, income-to-needs ratio, and child race. Results indicate that the number of media present during the meal is inversely associated with HMI Total scores (B = -.29, p < .01; F(4, 53) = 9.97, p < .01). In other words, as the number of mealtime media devices increases, the healthfulness of children's meals decreases. These results suggest that media and device use during mealtime may be an additional childhood risk factor for poor meal quality, and parents should make efforts to limit mealtime media and device use.