STUDY DESIGN: A cross-sectional study was conducted among 444 pregnant women (≥20 weeks gestation).
MAIN OUTCOMES MEASURES: Women completed questionnaires on sociodemographic data, maternal characteristics and pre-pregnancy weight. Height, current weight and MUAC were measured at study visit (from 1st February 2016 to 31st January 2017).
RESULTS: About a third (34.24%) of pregnant women were overweight or obese prior to pregnancy. MUAC was inversely associated with an inadequate rate of gestational weight gain (OR = 0.77; 95% CI: 0.68, 0.87) as compared to normal gestational weight gain. In contrast, a higher MUAC was associated with a higher odds ratio (OR = 1.28; 95% CI: 1.11, 1.49) of having excessive rate of gestational weight. No associations were found for pre-pregnancy BMI categories for gestational weight gain rate.
CONCLUSION: Our findings revealed that women with low MUAC were more likely to have an inadequate gestational weight gain rate during pregnancy whereas higher MUAC was associated with an excessive gestational weight gain rate. MUAC may be a useful indicator of nutritional status associated with GWG. Routine measurement of MUAC in pregnant women may help health professionals, particularly in middle-income countries, to counsel women about gestational weight gain.
OBJECTIVES: To consider which items from a long list of candidate items to exclude and which to cluster into outcome domains.
METHODS: The study used an international and multistakeholder approach, involving patients, dermatologists, surgeons, the pharmaceutical industry and medical regulators. The study format was a combination of formal presentations, small group work based on nominal group theory and a subsequent online confirmation survey.
RESULTS: Forty-one individuals from 13 countries and four continents participated. Nine items were excluded and there was consensus to propose seven domains: disease course, physical signs, HS-specific quality of life, satisfaction, symptoms, pain and global assessments.
CONCLUSIONS: The HISTORIC consensus meetings I and II will be followed by further e-Delphi rounds to finalize the core domain set, building on the work of the in-person consensus meetings.
METHODS: This cross-sectional study employed a validated, self-administered questionnaire which was administered to 543 first-year pharmacy students from nine different private universities. Factor analysis was utilised to extract key factors from the responses. Descriptive and inferential statistics were used to analyse the data.
KEY FINDINGS: Eight factors motivating students' decision to study pharmacy emerged from the responses, accounting for 63.8% of the variance observed. Students were primarily motivated by intrinsic interests, with work conditions and profession attributes also exerting significant influence. In terms of choice of private university, nine factors were identified, accounting for 73.8% of the variance observed. The image of the school and university were most influential factors in this context, followed by university safety, programme attributes and financial factors.
CONCLUSIONS: First-year pharmacy students in the private higher education sector are motivated by intrinsic interest when choosing to study pharmacy over other courses, while their choice of private university is influenced primarily by the image of the school and university.