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

This study showed a high prevalence of insufficient physical activity levels and exposure to sedentary behaviors among adolescents.

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...

Findings suggest that higher levels of enrollment in PE classes could play a role in the promotion of health-related behaviors among high school students.

After a decade, there was a decrease in the prevalence of TV viewing and an increase in computer/videogame use. Socio-demographic factors were differently associated with these behaviors.

O objetivo deste estudo foi analisar a associação entre fatores demográficos, sócio-econômicos, escolares e comportamentais e a prevalência de sobrepeso e obesidade em adolescentes. A amostra foi constituída por 4.210 estudantes (14-19 anos) da rede pública estadual em Pernambuco, Brasil, selecionados mediante amostragem por conglomerados em dois estágios. Além das medidas antropométricas, dados pessoais e comportamentais foram coletadas usando o Global School-Based Health Survey. Pontos de corte utilizados para classificação dos casos de sobrepeso e obesidade foram os propostos pelo International Obesity Task Force. A prevalência de sobrepeso e obesidade foi 11,5% (IC95%: 10,7-12,8) e 2,4% (IC95%: 1,9-2,9), respectivamente. Verificou-se maior risco de sobrepeso e obesidade entre rapazes que residiam em áreas urbanas e que não participavam das aulas de educação física. Entre as moças, assistir à televisão três horas ou mais foi fator associado à ocorrência de obesidade. Redução do tempo de televisão e participação nas aulas de educação física podem ser ações efetivas no enfrentamento da epidemia da obesidade.

Resumo: No Brasil, a atividade física é eixo prioritário das ações de promoção da saúde no Sistema Único de Saúde (SUS). O presente estudo tem como objetivo descrever o perfil dos usuários, as barreiras e os facilitadores para participação em programas para promoção de atividades físicas na atenção básica à saúde. Trata-se de um estudo transversal com abrangência estadual realizado nos municípios de Pernambuco. Foram entrevistados de 2 a 21 indivíduos, por município, por meio de instrumento previamente testado e validado nas dimensões: sociodemográfica; estado de saúde; participação; informações sobre o programa; motivos de participação; facilitadores para a prática; barreiras para a prática e preferência de atividades. Foram realizadas análises descritivas e inferenciais (qui-quadrado). A amostra foi de 1.153 usuários, sendo 35,9% com idade entre 41-59 anos; 90,1% residentes em áreas urbanas; 58,2% dos usuários participavam das atividades há, pelo menos, um ano. A frequência semanal de 3-4 dias foi de 44,9%, e 71,1% praticavam atividades de uma hora ou mais. Observou-se que 40% das barreiras para a participação nos programas de atividade física e 77,5% dos facilitadores relatados foram de domínio intrapessoal. A barreira mais prevalente foi “condição atual de saúde”, e o facilitador foi “ter uma condição melhor de saúde”. As mulheres percebem mais barreiras do que os homens. Conclui-se que as barreiras e os facilitadores de domínio intrapessoal, relacionados com a saúde, são os fatores envolvidos na manutenção e no engajamento dos usuários dos programas e intervenções para promoção da atividade física desenvolvidos pela atenção básica à saúde do Estado de Pernambuco.

-Few interventions to reduce sedentary behavior in youth have been successful and have had only subtle effects. The aim of the study was to assess the effectiveness of a school-based intervention to promote physical activity and healthy eating habits on screen time indicators in students. This was a randomized controlled intervention study of high school students (15-24 years of age) who attended evening classes in the public schools of 2 Brazilian capital cities, Florianópolis and Recife. Data collection was performed via a questionnaire at the beginning (March) and end (December) of the 2006 school year. Students who reported spending 2 or more hours per day watching television or playing videogames/using the computer on weekdays or weekend days were considered exposed to screen time. Logistic regression analyses were performed. Among the 2,155 students included in the baseline sample, 989 were evaluated during the post-intervention period. The intervention group showed significantly reduced exposure to videogame/computer time on weekend days compared with the control group (29.8% vs. 35.6%; p=0.004). After adjusting for potential confounding factors, the results showed that the intervention had no significant effect on reducing the exposure to screen time in the surveyed students. The intervention model adopted in the Saúde na Boa project was not effective in reducing the screen time exposure of high school students. (29,8% vs 35,6%, respectivamente; p=0,004