Background Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. MethodsWe used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age.Findings The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m 2 . In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, the...

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.

This study assessed the status and factors that affected the food security of Filipino households and their access to social protection programs and coping mechanisms during the coronavirus disease 2019 (COVID-19) pandemic in the Philippines. A rapid nutrition assessment survey through telephone interview was conducted on November 3 to December 3, 2020, among households covered in the 2019 Expanded National Nutrition Survey (ENNS) to compare the status of household food security before and during the pandemic. A total of 9 provinces and highly urbanized areas were selected as study sites based on risk to COVID-19 infection categorized as low, medium, and high. A total of 5717 households with contact numbers participated in the study. Results showed that almost two-thirds (62.1%) of the households experienced moderate to severe food insecurity when strict community quarantines started. The increase in the proportion of moderate to severe food insecurity was higher in the low- and medium-risk areas of COVID-19 infection than in high-risk areas ( P < .05). The poorest households were 1.7 times more likely to become moderate to severely food insecure compared to middle-income households. No money to buy food (22.1%) was the top concern of food-insecure households. Purchasing food on credit, borrowing food from family, and loans from relatives and friends are the top coping strategies of food-insecure households. The results imply the need to extend assistance equitably to households and areas with fewer resources and minimal or no benefactors.

Introduction: Stunting persists as a public health problem in the Philippines, affecting 30% of under-five children. This study aimed to identify the drivers of stunting in young Filipino children aged 6-23 months. Methods: Data were extracted from the cross-sectional Updating Survey conducted in 2015 by the Food and Nutrition Research Institute of the Department of Science and Technology (FNRI-DOST). Potential predictors of stunting, which were categorised into childrelated characteristics, feeding practices, maternal socio-demographic status and health practices, and household economic and food security status, were examined using descriptive and regression analyses. Results: Of the 2,275 children aged 6-23 months, 18.7% were stunted and 8.3% were severely stunted. The risk of stunting increased significantly among older children aged 12-23 months (relative risk ratio, RRR 3.04), males within 6-23 months of age (RRR 1.99), and low-birth-weight infants (RRR 2.19). Children born from teenage mothers (RRR 1.90), mothers with short stature (RRR 2.33), and mothers with low education (RRR 1.59) posed higher risks of becoming stunted relative to their counterparts. Mothers with >4 children (RRR 2.44), coming from the poorest households (RRR 4.27), having untimely introduction of complementary foods (RRR 4.44), and not meeting the minimum meal frequency (RRR 2.30) increased the risks of severe stunting. Conclusion: The study illustrated the multi-factorial nature of stunting among Filipino children aged 6-23 months old. Therefore, a multi-sectoral approach is needed to address the underlying factors of stunting among young Filipino children to help achieve the country’s nutrition targets by 2025.