Prehypertension is one of the most common conditions affecting human beings worldwide. It is associated with several complications including hypertension. The blood pressure between normal and hypertension is prehypertension as per the Seventh Report Joint National Committee (JNC-7) classification. The current study was done to measure the magnitude of prehypertension and to study their sociodemographic correlates in the urban field practice area of Kasturba Medical College, Mangalore, India, among 624 people aged ≥20 years. The measurements of blood pressure were done (JNC 7 criteria) with the anthropometric measurements and lifestyle factors. Data analysis was done using Statistical Package for Social Sciences version 16. Adjusted odds ratios were calculated. Overall, 55% subjects had prehypertension and 30% had hypertension. Prehypertension was higher among males. Those from the higher age groups, those from upper socioeconomic status, obese individuals, and those with lesser physical activity had significantly higher association with prehypertension, and it was least among those who never used tobacco and alcohol.
This article describes the design, outcomes, challenges, and lessons learned from the ASian Collaboration for Excellence in Non-Communicable Disease (ASCEND) program, implemented between 2011 and 2015 in India, Sri Lanka, and Malaysia. The program involved a blended-delivery model, incorporating online and face-to-face training, mentoring, and supervision of trainees' research projects. Evaluation data were collected at baseline, 6, 12, 18, and 24 months. Intended outcomes, lessons, and challenges were summarized using a logic model. During the program period, 48 participants were trained over 2 cohorts in June 2011 and 2012. The trainees published 83 peer-reviewed articles between 2011 and 2015. Additionally, 154 presentations were given by trainees at national and international conferences. Underutilization of the online learning management system was an important challenge. Utilizing a combination of intensive face-to-face and online learning and mentoring of early career researchers in low- and middle-income countries has great potential to enhance the research capacity, performance, and outputs.
Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.