Differences in nutritional profile by chronotype among 12-h day shift and night shift nurses.

Acute care nurses may suffer substantial fatigue if working night shift or if assigned a shift contrasting their preferred sleep-wake patterns, called chronotype. Nurses are at higher risk for diet-related, metabolic diseases compared to other healthcare professionals. Yet, the impact of preferred chronotype and mismatch to assigned shift on nutritional intake and risk for metabolic disease among acute care nurses is unclear. This observational study analyzed dietary data from 52 acute care nurses. Participants completed the revised morningness-eveningness questionnaire which gives a total score between 4 and 26. Lower scores (<12) were flagged as evening type (E-type), higher scores (>17) defined as morning type (M-type), and scores between 12 and 17 were categorized as neither types (N-type). N-type participants were considered chronotype matched when assigned to either shift, whereas E-types were only considered matched if assigned to night shift, and M-types matched only if assigned to day shift. Participants also recorded all dietary intake for 7 d (reflecting a typical workweek) in the MyFitnessPal phone application. Findings indicated that eveningness nurses had markers of MetS, including a significantly larger body mass index and waist circumference than N-types (p < 0.05). E-types also consumed, on average, more calories than other chronotypes (m = 1833.7 kcal), although this was not a statistically significant finding. Mismatched day (n = 7, 13.4%) and night (n = 5, 9.6%) nurses in our sample consumed, on average, more calories (m = 1935.1 kcal, m = 1981.2 kcal, respectively) than matched day (n = 24, 46.2%, m = 1642.6 kcal) or night (n = 16, 30.8%, m = 1599.1 kcal) nurses, although this finding was not statistically significant. Mismatched day nurses consumed significantly less fiber than day matched nurses (median = 10.9 g versus median = 18.5 g, p = 0.04), while night mismatched consumed significantly more fiber compared to night matched (median = 21 g versus median = 12.2 g, p = 0.05) nurses. Participant diets overall did not follow recommendations by the United States Department of Agriculture (USDA), who consumed a higher percentage of calories from saturated fats and a smaller percentage of calories from fiber, habits which increase risk for metabolic syndrome. Further research surrounding nutritional pathways utilizing larger samples is needed to uncover relationships with metabolic syndrome especially for eveningness-type nurses or if working a shift mismatched with preferred chronotype.

Breastfeeding Disparities Among Rural Breastfeeding Dyads in High-Income Countries: A Scoping Study.

Background/Objective: Low breastfeeding initiation and duration of exclusivity put rural mothers and infants at risk for morbidity and mortality and significant economic costs. This scoping study aimed to identify determinants of breastfeeding disparities among rural dyads in high-income countries and their modifiable factors. Methods: The Arksey and O'Malley methodological framework was used. A literature review was conducted using PubMed, CINAHL Complete, Embase, and APA PsycInfo databases to identify studies related to rural breastfeeding that met criteria published between 2012 and 2022. Results: Twenty-five studies were included. Rural mothers from high-income countries are more likely to be younger, be unmarried, have lower educational attainment, have lower socioeconomic status, smoke, and have a higher prepregnancy body mass index than their urban counterparts. Rural mothers across White, Black, and Hispanic racial and ethnic groups have significantly lower breastfeeding rates compared to urban mothers. Maternal physiological preparedness, breastfeeding problems, lifestyle choices, support from family, evidence-based practice, workplace support, and policy development and implementation for breastfeeding promotion were identified as modifiable factors. Interventions using technology are an emerging field to overcome rurality. Conclusions: Although breastfeeding disparities are prevalent in rural dyads, the basic challenges mothers face when breastfeeding are universal, despite geographical locations in high-income countries. More specific support needs to be provided for breastfeeding dyads to continue breastfeeding. Resource allocation needs to be improved to increase access to care. Patient-centered technology interventions may decrease breastfeeding barriers in rural areas.