Publications by authors named "J S Dorling"

Objective: To investigate the feasibility of cut-umbilical cord milking (C-UCM) during stabilization of preterm infants after birth.

Study Design: This was a pilot randomized controlled trial of initial resuscitation. Infants born to eligible, consenting women presenting in preterm labor at <32 weeks' gestation were randomized to receive either the standard practice of deferred cord clamping (DCC) for 30-60 seconds at birth or C-UCM while supporting breathing and following 30 seconds of DCC.

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  • Chronic or gestational hypertension affects about 7% of pregnancies, and the WILL Trial aimed to find the best timing for delivery to improve outcomes for mothers and babies.
  • The trial involved women with hypertension at 36 to 37 weeks gestation who were randomly assigned to either an early delivery intervention at 38 weeks or usual care at term, analyzing maternal and neonatal outcomes.
  • Despite aiming for 540 participants, the trial ended early with only 403 participants due to slow recruitment, showing no significant difference in poor maternal outcomes between the two groups, while deliveries in the intervention group occurred about 0.9 weeks earlier.
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School lunch is an important nutritious food source for children. The National School Lunch Program (NSLP) meal patterns guidelines have been established to promote healthier school lunches. This pilot study compared food selection during lunch in a school cafeteria with the NSLP meal pattern guidelines.

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  • The study compared the accuracy of the American College of Sports Medicine (ACSM) metabolic equations for estimating energy expenditure (EE) against actual measurements taken through indirect calorimetry during a 24-week aerobic exercise program involving overweight or obese adults.
  • Results indicated that the ACSM equations overestimated EE, with greater inaccuracies observed at higher exercise intensities and after the intervention, along with variations based on race, sex, age, fat mass, and VO2peak.
  • The findings emphasize the need for refining metabolic equations to enhance their accuracy for diverse populations, particularly considering factors like exercise efficiency when prescribing workouts.
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