Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. Wellcome Trust, AstraZeneca Young Health Programme.

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities^1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity^3–6. Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017—and more than 80% in some low- and middle-income regions—was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing—and in some countries reversal—of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.

High blood cholesterol is typically considered a feature of wealthy western countries ^1,2 . However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world ³ and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health ^4,5 . However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol—which is a marker of cardiovascular risk—changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million–4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.

Increased blood pressure is the biggest contributor to the global burden of disease and mortality. Data suggest that less than half of the population with hypertension is aware of it. May Measurement Month was initiated to raise awareness of the importance of blood pressure and as a pragmatic interim solution to the shortfall in screening programmes. This cross-sectional survey included volunteer adults (≥18 years) who ideally had not had their blood pressures measured in the past year. Each participant had their blood pressure measured three times and received a a questionnaire about demographic, lifestyle, and environmental factors. The primary objective was to raise awareness of blood pressure, measured by number of countries involved, number of people screened, and number of people who have untreated or inadequately treated hypertension (defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, or both, or on the basis of receiving antihypertensive medication). Multiple imputation was used to estimate the mean of the second and third blood pressure readings if these were not recorded. Measures of association were analysed using linear mixed models. Data were collected from 1 201 570 individuals in 80 countries. After imputation, of the 1 128 635 individuals for whom a mean of the second and third readings was available, 393 924 (34·9%) individuals had hypertension. 153 905 (17·3%) of 888 616 individuals who were not receiving antihypertensive treatment were hypertensive, and 105 456 (46·3%) of the 227 721 individuals receiving treatment did not have controlled blood pressure. Significant differences in adjusted blood pressures and hypertension prevalence were apparent between regions. Adjusted blood pressure was higher in association with antihypertensive medication, diabetes, cerebrovascular disease, smoking, and alcohol consumption. Blood pressure was higher when measured on the right arm than on the left arm, and blood pressure was highest on Saturdays. Inexpensive global screening of blood pressure is achievable using volunteers and convenience sampling. Pending the set-up of systematic surveillance systems worldwide, MMM will be repeated annually to raise awareness of blood pressure. International Society of Hypertension, Centers for Disease Control and Prevention, Servier Pharmaceutical Co.

Background Chronic hepatitis C (HCV) infection is associated with diabetes and favourable lipids. Objective To study the effect of this paradox on atherosclerosis and cardiometabolic response to HCV clearance. Design Cross-sectional study. Setting Egypt. Participants 329 chronically infected, 173 with cleared infection and 795 never infected participants aged ≥35 attended for baseline investigations. A subsample of 192, 115 and 187, respectively, underwent ultrasound. Main outcome measures Diabetes, fasting glucose, lipids and fat deposition on ultrasound. Carotid intima-media thickness (IMT) measured atherosclerosis. Results Diabetes prevalence was raised (10.1% (95% CI 6.6 to 13.6), p=0.04) in HCV chronic, and cleared (10.1% (5.6 to 14.8), p=0.08) individuals versus 6.6% (4.9 to 8.3) in those never infected. Mesenteric fat was raised in chronic (36.4 mm (34.5 to 38.2), p=0.004), and cleared infection (37.8 (35.6 to 40.0), p<0.0001) vs never infected (32.7 (31.0 to 34.4)). LDL cholesterol was lower in chronic (2.69 mmol/l (2.53 to 2.86), p<0.001), but similar in cleared (3.56 (3.34 to 3.78), p=0.4) versus never infected (3.45 (3.30 to 3.60)). Carotid IMT did not differ by infection status: 0.73 (0.70 to 0.76, p=0.4), 0.71 (0.66 to 0.75, p=0.9), 0.71 (0.68 to 0.74), respectively. Adjustment for cardiovascular risk factors increased IMT in chronic infection (0.76 (0.72 to 0.79), p=0.02) versus never infected individuals (0.70 (0.67 to 0.73)). Conclusions Hepatic function normalisation with HCV clearance may account for reversal of favourable lipids observed with HCV infection. Hyperglycaemia and visceral adiposity appear less amenable to HCV resolution. These different cardiovascular risk patterns may determine equivalent atherosclerosis risk by infection status. However, once these factors were accounted for, those with chronic infection had raised IMT, suggesting a direct effect of infection.

Objectives Tobacco smoking is on the rise in the Eastern Mediterranean region. In light of limited surveillance of smoking in the region, this study sought to understand the prevalence of cigarette and waterpipe smoking among adults and the factors associated with smoking in Lebanon, Jordan and Palestine (West Bank only). Design, setting and participants Household surveys were conducted with participants over the age of 18 in Lebanon (n=1680), Jordan (n=1925) and Palestine (n=1679) between June and August 2019. A multistage cluster sampling approach with probability-proportional-to-size random selection method was followed in the three countries. Primary and secondary outcome measures Gender-specific prevalence rates for cigarette and waterpipe smoking were estimated. Multivariable logistic regression was used to examine factors associated with current cigarette and waterpipe tobacco smoking. Results The prevalence of cigarette smoking among males and females respectively was 48.6% and 21.5% in Lebanon, 50.4% and 9.1% in Jordan, and 53.4% and 3.1% in Palestine. The prevalence of waterpipe smoking among males and females respectively was 32.7% and 46.2% in Lebanon, 13.4% and 7.8% in Jordan, and 18.0% and 7.9% in Palestine. Cigarette smokers were significantly (p<0.05) more likely to be male, younger and with lower educational attainment across the three countries. Waterpipe smokers were more likely to be young adults across the three countries (p<0.001). They were more likely to be male in Jordan and Palestine, and more likely to be female in Lebanon. Conclusions The high prevalence rates of smoking in Lebanon, Jordan and Palestine are concerning. Continued surveillance is key to monitor smoking patterns and inform stronger tobacco control measures.