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.

Rationale: Forty percent of households worldwide burn biomass fuels for energy, which may be the most important contributor to household air pollution. Objectives: To examine the association between household air pollution exposure and chronic obstructive pulmonary disease (COPD) outcomes in 13 resource-poor settings. Methods: We analyzed data from 12,396 adult participants living in 13 resource-poor, population-based settings. Household air pollution exposure was defined as using biomass materials as the primary fuel source in the home. We used multivariable regressions to assess the relationship between household air pollution exposure and COPD outcomes, evaluated for interactions, and conducted sensitivity analyses to test the robustness of our findings. Measurements and Main Results: Average age was 54.9 years (44.2–59.6 yr across settings), 48.5% were women (38.3–54.5%), prevalence of household air pollution exposure was 38% (0.5–99.6%), and 8.8% (1.7–15.5%) had COPD. Participants with household air pollution exposure were 41% more likely to have COPD (adjusted odds ratio, 1.41; 95% confidence interval, 1.18–1.68) than those without the exposure, and 13.5% (6.4–20.6%) of COPD prevalence may be caused by household air pollution exposure, compared with 12.4% caused by cigarette smoking. The association between household air pollution exposure and COPD was stronger in women (1.70; 1.24–2.32) than in men (1.21; 0.92–1.58). Conclusions: Household air pollution exposure was associated with a higher prevalence of COPD, particularly among women, and it is likely a leading population-attributable risk factor for COPD in resource-poor settings.

The burden of obesity differs by socioeconomic status. We aimed to characterise the prevalence of obesity among adult men and women in Latin America and the Caribbean by socioeconomic measures and the shifting obesity burden over time. We did a cross-sectional series analysis of obesity prevalence by socioeconomic status by use of national health surveys done between 1998 and 2017 in 13 countries in Latin America and the Caribbean. We generated equiplots to display inequalities in, the primary outcome, obesity by wealth, education, and residence area. We measured obesity gaps as the difference in percentage points between the highest and lowest obesity prevalence within each socioeconomic measure, and described trends as well as changing patterns of the obesity burden over time. 479 809 adult men and women were included in the analysis. Obesity prevalence across countries has increased over time, with distinct patterns emerging by wealth and education indices. In the most recent available surveys, obesity was most prevalent among women in Mexico in 2016, and the least prevalent among women in Haiti in 2016. The largest gap between the highest and lowest obesity estimates by wealth was observed in Honduras among women (21·6 percentage point gap), and in Peru among men (22·4 percentage point gap), compared with a 3·7 percentage point gap among women in Brazil and 3·3 percentage points among men in Argentina. Urban residents consistently had a larger burden than their rural counterparts in most countries, with obesity gaps ranging from 0·1 percentage points among women in Paraguay to 15·8 percentage points among men in Peru. The trend analysis done in five countries suggests a shifting of the obesity burden across socioeconomic groups and different patterns by gender. Obesity gaps by education in Mexico have reduced over time among women, but increased among men, whereas the gap has increased among women but remains relatively constant among men in Argentina. The increase in obesity prevalence in the Latin American and Caribbean region has been paralleled with an unequal distribution and a shifting burden across socioeconomic groups. Anticipation of the establishment of obesity among low socioeconomic groups could provide opportunities for societal gains in primordial prevention. None.

The objective is to describe hypertension (HTN) prevalence, awareness, treatment and control in urban and rural communities in Latin America to inform public and policy-makers. Cross-sectional analysis from urban (n = 111) and rural (n = 93) communities including 33 276 participants from six Latin American countries (Argentina, Brazil, Chile, Colombia, Peru and Uruguay) were included. HTN was defined as self-reported HTN on blood pressure (BP) medication or average BP over 140/90 mmHg, awareness as self-reported HTN, and controlled as those with BP under 140/90 mmHg. Mean age was 52 years, 60% were Female and 32% belonged to rural communities. HTN prevalence was 44.0%, with the lowest rates in Peru (17.7%) and the highest rates in Brazil (52.5%). 58.9% were aware of HTN diagnosis and 53.3% were receiving treatment. Prevalence of HTN were higher in urban (44.8%) than rural (42.1%) communities in all countries. Most participants who were aware of HTN were receiving medical treatment (90.5%), but only 37.6% of patients receiving medical treatment had their BP controlled (<140/<90 mmHg), with the rates being higher in urban (39.6%) than in rural (32.4%) communities. The rate of use of two or more drugs was low [36.4%, lowest in Argentina (29.6%) and highest in Brazil (44.6%)]. Statin use was low (12.3%), especially in rural areas (7.0%). Most modifiable risk factors were higher in people with HTN than people without HTN. HTN prevalence is high but BP control is low in Latin America, with marked differences between countries and between urban and rural settings. There is an urgent need for systematic approaches for better detection, treatment optimization and risk factor modification among those with HTN in Latin America.

Hypertension is the leading cause of cardiovascular disease and premature death worldwide. The prevalence of this public health problem is increasing in low- and middle-income countries (LMICs) in both urban and rural communities. The aim of this study was to examine hypertension prevalence, awareness, treatment, and control in adults 35 to 74 years of age from urban and rural communities in LMICs in Africa, Asia, and South America. The authors analyzed data from 7 population-based cross-sectional studies in selected communities in 9 LMICs that were conducted between 2008 and 2013. Age- and sex-standardized prevalence rates of pre-hypertension and hypertension were calculated. The prevalence rates of awareness, treatment, and control of hypertension were estimated overall and by subgroups of age, sex, and educational level. In selected communities, age- and sex-standardized prevalence rates of hypertension among men and women 35 to 74 years of age were 49.9% (95% confidence interval [CI]: 42.3% to 57.4%) in Kenya, 54.9% (95% CI: 51.3% to 58.4%) in South Africa, 52.5% (95% CI: 50.1% to 54.8%) in China, 32.5% (95% CI: 31.7% to 33.3%) in India, 42.3% (95% CI: 40.4% to 44.2%) in Pakistan, 45.4% (95% CI: 43.6% to 47.2%) in Argentina, 39.9% (95% CI: 37.8% to 42.1%) in Chile, 19.2% (95% CI: 17.8% to 20.5%) in Peru, and 44.1% (95% CI: 41.6% to 46.6%) in Uruguay. The proportion of awareness varied from 33.5% in India to 69.0% in Peru, the proportion of treatment among those who were aware of their hypertension varied from 70.8% in South Africa to 93.3% in Pakistan, and the proportion of blood pressure control varied from 5.3% in China to 45.9% in Peru. The prevalence of hypertension varies widely in different communities. The rates of awareness, treatment, and control also differ in different settings. There is a clear need to focus on increasing hypertension awareness and control in LMICs.