Effect of breakfast protein intake on muscle mass and strength in adults: a scoping review.

BACKGROUND: The distribution of protein intake throughout the day is frequently skewed, with breakfast having the lowest protein intake across all age groups. There is no review that addresses the association between breakfast protein intake and muscle mass and strength. OBJECTIVE: This scoping review aims to summarize the literature on the relationship between protein intake during breakfast and muscle mass and strength in adults. METHODS: This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Two independent reviewers screened and appraised the articles identified from 3 electronic databases (Medline, Web of Science, and Scopus) that focused on protein intake per meal and its impact on muscle-related outcomes. RESULTS: A total of 14 763 articles were retrieved from 3 databases, and after the screening process, 15 articles were included for analysis. Approximately 58.8% of findings from 11 studies examining the association between high protein intake during breakfast and muscle mass indicated an increase in muscle mass among participants. Half of 6 studies (50.0%) exploring the relationship between high protein intake at breakfast and muscle strength demonstrated an increase in muscle strength. Consuming high amounts of protein at breakfast or more protein in the morning than in the evening was associated with an increase in the skeletal muscle index and lean body mass. CONCLUSION: Protein consumption at breakfast revealed potential benefits in increasing muscle mass across 5 studies involving an elderly population and 2 studies encompassing middle-aged women and young men in our review. However, the relationship between protein intake at breakfast and muscle strength remains unclear. Further high-quality randomized controlled trials are required to examine whether adults can preserve skeletal muscle health outcomes by consuming higher amounts of protein at breakfast.

Factors influencing non-institutional deliveries in afghanistan: secondary analysis of the afghanistan mortality survey 2010.

Home delivery in unhygienic environments is common among Afghan women; only one third of births are delivered at health facilities. Institutional delivery is central to reducing maternal mortality. The factors associated with place of delivery among women in Afghanistan were examined using the Afghanistan Mortality Survey 2010 (AMS 2010), which was open to researchers. The AMS 2010 data were collected through an interviewer-led questionnaire from 18,250 women. Odds ratio (OR) and 95% confidence interval (CI) of non-institutional delivery were estimated by logistic regression analysis. When age at survey, education, parity, residency, antenatal care frequency, remoteness, wealth and regions were adjusted, the OR of non-institutional delivery was 8.37 (95% CI, 7.47-9.39) for no antenatal care relative to four or more antenatal care visits, 4.07 (95% CI, 3.45-4.80) for poorest household relative to women from richest household, 2.02 (95% CI, 1.43-2.84) for no education relative to higher education, 1.78 (95% CI, 1.52-2.09) for six or more deliveries relative to one delivery, and 1.50 (95% CI, 1.36-1.67) for rural relative to urban residency. Since antenatal care was strongly associated with non-institutional delivery after adjustment of the other factors, antenatal care service may promote institutional deliveries, which can reduce maternal mortality ratio in Afghanistan.

Health care expenditure of households in magway, myanmar.

Myanmar has a high proportion of out-of-pocket (OOP) health care expenditures with limited cost-sharing mechanisms. In Myanmar, there were limited data on the frequency of catastrophic health expenditure (CHE) due to OOP payments, as well as on the factors associated with CHE. This study aimed to investigate health care expenditure, the frequency of CHE, and the factors influencing CHE among households in Magway, Myanmar. A cross-sectional household survey was conducted in 2012 for 700 households (350 in urban areas and 350 in rural areas) in Magway. CHE was defined as a condition wherein the total amount of household health care expenditure was 40% or more of non-food expenditure in the past year. Multiple logistic regression analysis was applied to estimate odds ratios (ORs) and 95% confident intervals (CIs) of CHE. In the previous year, 28.3% of 350 urban households and 51.4% of 350 rural households utilized outpatient services. Households with at least one member admitted to a medical facility were 10.0% and 12.9%, respectively. Those with CHE were 25.2% in the urban areas and 22.7% in the rural areas. The adjusted OR of CHE was 7.79 (95% CI 3.73-16.26) for hospitalization and 1.08 (95% CI 0.36-3.23) for outpatient care, relative to no services used. These findings indicated that nearly one fourth of households in Magway faced CHE due to inpatient care. A safety-net mechanism to protect households from CHE in Myanmar seems essential.