874 | Nature | Vol 615 | 30 March 2023 Article Diminishing benefits of urban living for children and adolescents’ growth and development NCD Risk Factor Collaboration (NCD-RisC)* Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1–6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5–19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m–2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified. The growth and development of school-aged children and adolescents (ages 5–19 years) are influenced by their nutrition and environment at home, in the community and at school. Healthy growth and develop- ment at these ages help consolidate gains and mitigate inadequacies from early childhood and vice versa1, with lifelong implications for health and well-being2–6. Until recently, the growth and development of older children and adolescents received substantially less atten- tion than in early childhood and adulthood7. Increasing attention on the importance of health and nutrition during school years has been accompanied by a presumption that differences in nutrition and the environment lead to distinct, and generally less healthy, patterns of growth and development at these ages in cities compared to rural areas8–17. This presumption is despite some empirical studies showing that food quality and nutrition are better in cities18,19. Data on growth and developmental outcomes during school ages are needed, alongside data on the efficacy of specific interventions and policies, to select and prioritize policies and programmes that promote health and health equity, both for the increasing urban population and for children who continue to grow up in rural areas. Consistent and com- parable global data also help benchmark across countries and territories and draw lessons on good practice. Yet, globally, there are fewer data on growth trajectories in rural and urban areas in these formative ages than for children under 5 years of age20 or for adults21. The available studies have been in one country, at one point in time and/or in one sex and nar- row age groups. The few studies that covered more than one country22–24 mostly focused on older girls and used at most a few dozen data sources and hence could not systematically measure long-term trends. Conse- quently, many policies and programmes that aim to enhance healthy growth and development in school ages focus narrowly and generically on specific features of nutrition or the environment in either cities or rural areas10,13,25–28. Little attention has been paid to the similarities and differences between relevant outcomes in these settings or to the het- erogeneity of the urban–rural differences across countries. Here we report on the mean height and BMI of school-aged chil- dren and adolescents residing in rural and urban areas of 200 coun- tries and territories (referred to as countries hereafter) from 1990 to 2020. Height and BMI are anthropometric measures of growth and development that are influenced by the quality of nutrition and healthi- ness of the living environment and are highly predictive of health and well-being throughout life in observational and Mendelian randomiza- tion studies2–6. These studies have shown that having low height and excessively low BMI increases the risk of morbidity and mortality, and low height impairs cognitive development and reduces educational performance and work productivity in later life2–4. A high BMI in these https://doi.org/10.1038/s41586-023-05772-8 Received: 27 May 2022 Accepted: 30 January 2023 Published online: 29 March 2023 Open access Check for updates *A list of authors and their affiliations appears online. https://doi.org/10.1038/s41586-023-05772-8 Nature | Vol 615 | 30 March 2023 | 875 ages increases the lifelong risk of overweight and obesity and several non-communicable diseases, and might contribute to poor educational outcomes5,6. We used 2,325 population-based studies that measured height and weight in 71 million participants in 194 countries (Extended Data Fig. 1 and Supplementary Table 2). We used these data in a Bayesian hier- archical meta-regression model to estimate mean height and BMI of children and adolescents aged 5–19 years by rural and urban place of residence, year and age for 200 countries. Details of data sources and statistical methods are provided in the Methods. Our results repre- sent the height and BMI for children and adolescents of the same age over time (that is, successive cohorts) in rural and urban areas of each country, and the difference between the two. For presentation, we summarize the 15 age-specific estimates, for single years of age from 5 to 19, through age standardization, which puts each country-year’s child and adolescent population on the same age distribution and enables comparisons to be made over time and across countries. We also show results, graphically and numerically, for index ages of 5, 10, 15 and 19 years in the Supplementary Information. In 1990, school-aged boys and girls who lived in cities had a height advantage (that is, were taller) compared with their rural counterparts. The exception was in high-income countries, where the urban height advantage was either negligible (<1.2 cm for age-standardized mean height; posterior probability (PP) for children living in urban areas being taller ranging from 0.51 to >0.99) or there was a small rural advantage (for example, Belgium, the Netherlands and the United Kingdom) (PP for children in rural areas being taller ranging from 0.53 to >0.95 where there was a rural height advantage) (Fig. 1 and Extended Data Fig. 2). The largest height differences between children and adolescents in cities and rural areas in 1990 occurred in some countries in Latin America (for example, Mexico, Guatemala, Panama and Peru), east and southeast Asia (China, Indonesia and Vietnam), central and eastern Europe (Bulgaria, Hungary and Romania) and sub-Saharan Africa (Democratic Republic of Congo (DR Congo) and Rwanda). The urban height advantage in boys and girls in the named countries ranged from 2.4 to 5.0 cm, and the PP of children living in urban areas being taller than children living in rural areas was >0.99 (see Supplementary Table 3 for country-specific numerical values of height in children living in rural versus urban areas, their difference and the corresponding credible intervals (CrIs)). The urban–rural height gap in the late twentieth century among low-income and middle-income countries was determined by how much children and adolescents in cities and rural areas had approached as opposed to fallen behind their peers in high-income countries, where there was little difference between urban and rural height. In countries such as Bulgaria, Hungary and Romania, the height of children and adolescents living in urban areas approached that of high-income coun- tries, whereas children and adolescents in rural areas lagged behind, leading to a relatively large gap. In much of sub-Saharan Africa and south Asia, the height of children and adolescents lagged behind their peers in high-income countries regardless of where they lived, such that the urban–rural gap was relatively small. In a third group of low-income or middle-income countries that included Indonesia, Vietnam, Panama, Peru, DR Congo and Rwanda, children living in urban areas remained shorter than in high-income countries, but children from rural areas lagged even further behind, such that the urban–rural gap became large. High-income Asia Paci�c High-income western East and southeast Asia Central and eastern Europe Sub-Saharan Africa Oceania Latin America and Caribbean South Asia Oceania Latin America and Caribbean South Asia Age-standardized mean rural height (cm) U rb an –r ur al d iff er en ce in a ge -s ta nd ar d iz ed m ea n he ig ht (c m ) U rb an –r ur al d iff er en ce in a ge -s ta nd ar d iz ed m ea n he ig ht (c m ) a b Central Asia, Middle East and north Africa High-income Asia Paci�c High-income western Central Asia, Middle East and north Africa East and southeast Asia Central and eastern Europe Sub-Saharan Africa 140 150 140 150 140 150 Age-standardized mean rural height (cm) 140 150 140 150 140 150 −1 0 1 2 3 4 5 −1 0 1 2 3 4 5 −1 0 1 2 3 4 5 −1 0 1 2 3 4 5 −1 0 1 2 3 4 5 −1 0 1 2 3 4 5 Fig. 1 | Change in the urban–rural height difference from 1990 to 2020. a,b, Change in the urban–rural difference in age-standardized mean height in relation to the change in age-standardized mean rural height in girls (a) and boys (b). Each solid arrow in lighter shade shows one country beginning in 1990 and ending in 2020. The dashed arrows in darker shade show the regional averages, calculated as the unweighted arithmetic mean of the values for all countries in each region along the horizontal and vertical axes. For the urban– rural difference, a positive number shows a higher urban mean height and a negative number shows higher rural mean height. See Extended Data Fig. 2 for urban–rural differences in age-standardized mean height and their change over time shown as maps, together with uncertainties in the estimates. See Supplementary Fig. 4a for results at ages 5, 10, 15 and 19 years. We did not estimate the difference between rural and urban height for countries classified as entirely urban (Bermuda, Kuwait, Nauru and Singapore) or entirely rural (Tokelau). 876 | Nature | Vol 615 | 30 March 2023 Article By 2020, the urban height advantage in school ages became smaller in much of the world. In many high-income western countries and some central European countries, it disappeared or reversed into a small (typically <1 cm) urban disadvantage (Fig. 1 and Extended Data Figs. 2 and 8). Countries with substantial convergence over these three decades were in central and eastern Europe (for example, Croatia), Latin America and the Caribbean (for example, Argentina, Brazil, Chile and Paraguay), east and southeast Asia (for example, Taiwan) and for girls in central Asia (for example, Kazakhstan and Uzbekistan). The urban height advantage in the named countries declined by around 1–2.5 cm from 1990 to 2020 (the PP of urban–rural height difference having declined ≥0.90 for the named countries). In many other middle-income countries (for example, China, Romania and Vietnam), the urban– rural height gaps declined, but children and adolescents living in cit- ies remained taller than their rural counterparts (by 1.7–2.5 cm in the named countries for boys and girls; the PP of children in cities being taller than children in rural areas in 2020 >0.99). The exception to this convergence was for boys in most countries in sub-Saharan Africa and some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa, where the urban height advantage slightly increased over these three decades. The largest increase in the urban height advantage for boys occurred in countries in east Africa such as Ethiopia (0.9 cm larger height gap in 2020 than 1990; 95% CrI −0.9 to 2.9, and PP of an increase of 0.86), Rwanda (1.0 cm larger gap, 95% CrI −0.7 to 3.0, and PP 0.88) and Uganda (1.1 cm larger gap, 95% CrI of −0.6 to 3.1, and PP 0.89). For girls, the urban–rural gap remained largely unchanged in many countries in sub-Saharan Africa and south Asia. In middle-income countries  and emerging economies (newly high-income and industrialized countries) where the height of children and adolescents residing in rural areas converged to those in cities, successive cohorts of children and adolescents living in rural areas outpaced their urban counterparts in becoming taller and attained heights that urban children in the same countries had done decades earlier: growing to heights closer to those seen in high-income countries a 13 5 14 0 14 5 15 0 135 140 145 150 cm Urban ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT 13 5 14 0 14 5 15 0 135 140 145 150 cm Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT b –2 0 2 4 6 8 –2 0 2 4 6 8 –2 0 2 4 6 8 cm Urban ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT –2 0 2 4 6 8 cm Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT c 0 0.5 1.0 1.5 2.0 2.5 –5 50 Change in age-standardized mean urban height (cm) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (c m ) Central and eastern Europe Central Asia, Middle East and north Africa East and southeast Asia High-income Asia Paci�c High-income western Latin America and Caribbean Oceania South Asia Sub-Saharan Africa PP >0.99 0.975< PP ≤0.99 0.95< PP ≤0.975 0.75< PP ≤0.95 PP ≤0.75 0 0.5 1.0 1.5 2.0 2.5 –5 50 Change in age-standardized mean rural height (cm) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (c m ) d M N E S R B H R V B IH H U N S V K S V N C Z E B G R R O U P O L A LB M K D LV A ES T LT U B LR RU S U KR M DA KA Z GEO TK M M NG UZB AZE KGZ ARM TJK LBN TUN ARE DZA BHR TUR LBY PSE KWT QAT JOR SYR MAR IRQ EGY IRN SAU OMN YEM CHN TWN PRK THA VNM MYS BRN MDVKHMLAOMMRIDNPHLTLSKORSGPJPNAUSNZLCANIRLUSAGBRNLDDNKISLNORSW E DEUFINAUT CHE BEL LU X G RL G R C FR A ESP ITAA N D C Y P IS R P R T M LT B O L P E R E C U D M A B R B V C T G R D LC A K N A JA M P R I AT G B H S B M U TT O S U R C U B G U Y D O MH TIB LZC R I VE N M EXPA N C O L SL V HNDNICGTMBRAPRYURYARGCHLFJIVUTPNGSLBPYFCOKNIUTONASMTUVWSMKIRFSMPLWNRUMHLTKLBGD BTN LKA IND NPL AFG PAK CAF GAB COG GNQ AGO COD MUS SSD SYC KEN SOM SDN MOZ DJI ERI ZMB ETH COM RWA MWI BDI UGA TZA M DG BW A NAM SW Z ZW E ZAF LSO C PV SEN G M B TC D M LI S TP M R T N ER G N B C M R B FA TG O C IV G H A G IN N G A S LE B E N LB R 130 135 140 145 150 Urban M N E S V N H R V S R B B IH S V K C Z E H U N P O L B G R R O U A LB M K D ES T LV A LT U B LR U KR RU S M DA KA Z GEO UZB TK M M NG AZE KGZ ARM TJK LBN ARE DZA TUN BHR LBY PSE TUR QAT JOR SYR EGY IRQ MAR IRN SAU OMN YEM KWT CHN TWN PRK THA VNM MYS BRN MDVKHMMMRLAOPHLIDNTLSKORJPNSGPNZLCANAUSUSAGBRIRLNLDDNKISLNORSW E DEUAUTFINBELC H E LU X G RL G R C FR A ESP A N D C Y P IS R ITAP R T M LT B O L E C U P E R D M A B R B JA M V C T G R DLC A K N A AT G P R I B H S TT O S U R C U B D O M G U Y H TI B LZ B M U C R I VE N C O L M EXSL VN ICPA NHND GTMBRAPRYURYARGCHLFJIVUTPNGSLBPYFCOKNIUTKLTONASMTUVWSMKIRFSMPLWMHLNRU BGD BTN LKA IND NPL AFG PAK CAF COG GAB GNQ AGO COD SYC MUS SSD KEN SOM SDN DJI ERI ETH COM MOZ ZMB MWI UGA RWA TZA BDI M DG BW A NAM SW Z ZW E ZAF LSO C PV SEN G M B STP M LI TC D M R T TG O C M R N ER G N B B FA G H A C IV G IN B E N N G A S LE LB R 130 135 140 145 150 Rural Fig. 2 | See next page for caption. Nature | Vol 615 | 30 March 2023 | 877 (Figs. 2 and 3). Successive cohorts of children and adolescents residing in rural areas in sub-Saharan Africa did not experience the accelerated height gain seen in cohorts in rural areas of middle-income countries. Notably, in the case of boys living in sub-Saharan Africa, there was no gain, or possibly a decrease, in height, which in turn led to a persistence or even widening of the urban–rural gap. As a result of these global trends, by 2020, the largest urban–rural gaps in height were seen in Andean and central Latin America (for example, Bolivia, Panama and Peru, by up to 4.7 cm (95% CrI 4.0–5.5 cm) for boys and 3.8 cm (95% CrI 3.3–4.3 cm) for girls) and, especially for boys, in sub-Saharan Africa (for example, DR Congo, Ethiopia, Mozambique and Rwanda, by up to 4.2 cm (95% CrI 2.7–5.7 cm)). The urban–rural BMI difference was relatively small throughout these three decades, <1.4 kg m–2 in all countries and years and <1.1 kg m–2 in all but nine countries, for age-standardized mean BMI (Fig. 4 and Extended Data Figs. 3 and 9). In 1990, the urban–rural BMI gap was largest in sub-Saharan Africa (for example, Ethiopia, Kenya, Malawi, South Africa and Zimbabwe) and south Asia (for example, Bangladesh and India), followed by parts of Latin America (for example, Mexico and Peru). The urban–rural BMI gap in the two sexes in the named countries ranged from 0.4 to 1.2 kg m–2, and the PP of children and adolescents living in urban areas having a higher BMI than those in rural areas was ≥0.89. At that time, girls and/or boys in rural areas of some of these countries had mean BMI levels that were close to, and in some ages below, the thresholds of being underweight (>1 s.d. below the median of the World Health Organization (WHO) reference population). From 1990 to 2020, the BMI of successive cohorts of children and adolescents in both urban and rural areas increased in all but a few mostly high-income countries (for example, Denmark, Italy and Spain) (Figs. 5 and 6). There was heterogeneity in low-income and middle-income countries in how much the BMI increased in cities com- pared with rural areas. In the majority of countries in sub-Saharan Africa and south Asia, the BMI of successive cohorts of children and adoles- cents increased more in rural areas than in cities, leading to a closing of the urban–rural difference. The urban–rural BMI gap declined by up to 0.65 kg m–2 for both girls and boys, and the PP that the urban–rural BMI difference declined from 1990 to 2020 ranged from 0.52 to 0.95. In both sub-Saharan Africa and south Asia, these changes shifted the mean BMI of boys and girls in rural areas out of the range for being under- weight. Moreover, in many countries in sub-Saharan Africa, this shift continued beyond the median of the WHO reference population and in some cases approached the threshold for being overweight (>1 s.d. above the median of the WHO reference population). The opposite, a larger increase in urban BMI, happened in most other low-income and middle-income countries, leading to a slightly larger urban BMI excess in 2020 than in 1990. High-income countries and those in central and eastern Europe experienced a mix of increasing and decreasing urban BMI excess, but remained within a small range (−0.3 to 0.6 kg m–2 for almost all countries) over the entire period of analysis. At the regional level, the urban–rural BMI difference changed by <0.25 kg m–2 in these regions. The urban height advantage was larger in boys than girls in most countries (Supplementary Fig. 3). Urban excess BMI was larger in boys than girls in only about one-half of the countries. For the other half, mostly in high-income western countries and those in sub-Saharan Africa, urban excess BMI was larger in girls than boys. The urban height advantage was slightly larger at 5 years of age than at 19 years of age in most low-income and middle-income countries, especially for girls, but there was little difference across ages in high-income regions and in central and eastern Europe (Supplementary Fig. 4). Since the introduction of modern sanitation in the nineteenth cen- tury, cities provided substantial nutritional and health advantages in high-income and subsequently low-income and middle-income coun- tries19. Our results show that in the twenty-first century, during school Fig. 2 | Urban and rural height in 2020 and the change from 1990 to 2020 for girls. a, Age-standardized mean height in 2020 by urban and rural place of residence for girls. The density plots show the distribution of estimates across countries. b, Age-standardized change in mean height from 1990 to 2020 by urban and rural place of residence for girls. The density plots show the distribution of estimates across countries. c, Change in mean height from 1990 to 2020 in relation to the uncertainty of the change measured by posterior standard deviation. Each point in the scatter plots shows one country. Shaded areas approximately show the PP of an estimated change being a true increase or decrease. The PP of a decrease is one minus that of an increase. If an increase in mean height is statistically indistinguishable from a decrease, the PP of an increase and a decrease is 0.50. PPs closer to 0.50 indicate more uncertainty, whereas those towards 1 indicate more certainty of change. d, Age- standardized mean height in 2020 for all countries. The height of each column is the posterior mean estimate shown together with its 95% CrI. Countries are ordered by region and super-region. See Extended Data Fig. 4 for a map of PP of the estimated change. See Supplementary Fig. 5 for results at ages 5, 10, 15 and 19 years. See Supplementary Table 3 for numerical results, including Crls, as age-standardized and at ages 5, 10, 15 and 19 years. We did not estimate mean rural height in countries classified as entirely urban (Bermuda, Kuwait, Nauru and Singapore), mean urban height in countries classified as entirely rural (Tokelau) or their change over time in these countries, as indicated in grey. Countries are labelled using their International Organization for Standardization (ISO) 3166-1 alpha-3 codes. Afghanistan, AFG; Albania, ALB; Algeria, DZA; American Samoa, ASM; Andorra, AND; Angola, AGO; Antigua and Barbuda, ATG; Argentina, ARG; Armenia, ARM; Australia, AUS; Austria, AUT; Azerbaijan, AZE; Bahamas, BHS; Bahrain, BHR; Bangladesh, BGD; Barbados, BRB; Belarus, BLR; Belgium, BEL; Belize, BLZ; Benin, BEN; Bermuda, BMU; Bhutan, BTN; Bolivia, BOL; Bosnia and Herzegovina, BIH; Botswana, BWA; Brazil, BRA; Brunei Darussalam, BRN; Bulgaria, BGR; Burkina Faso, BFA; Burundi, BDI; Cabo Verde, CPV; Cambodia, KHM; Cameroon, CMR; Canada, CAN; Central African Republic, CAF; Chad, TCD; Chile, CHL; China, CHN; Colombia, COL; Comoros, COM; Congo, COG; Cook Islands, COK; Costa Rica, CRI; Cote d'Ivoire, CIV; Croatia, HRV; Cuba, CUB; Cyprus, CYP; Czechia, CZE; Denmark, DNK; Djibouti, DJI; Dominica, DMA; Dominican Republic, DOM; DR Congo, COD; Ecuador, ECU; Egypt, EGY; El Salvador, SLV; Equatorial Guinea, GNQ; Eritrea, ERI; Estonia, EST; Eswatini, SWZ; Ethiopia, ETH; Fiji, FJI; Finland, FIN; France, FRA; French Polynesia, PYF; Gabon, GAB; Gambia, GMB; Georgia, GEO; Germany, DEU; Ghana, GHA; Greece, GRC; Greenland, GRL; Grenada, GRD; Guatemala, GTM; Guinea Bissau, GNB; Guinea, GIN; Guyana, GUY; Haiti, HTI; Honduras, HND; Hungary, HUN; Iceland, ISL; India, IND; Indonesia, IDN; Iran, IRN; Iraq, IRQ; Ireland, IRL; Israel, ISR; Italy, ITA; Jamaica, JAM; Japan, JPN; Jordan, JOR; Kazakhstan, KAZ; Kenya, KEN; Kiribati, KIR; Kuwait, KWT; Kyrgyzstan, KGZ; Lao PDR, LAO; Latvia, LVA; Lebanon, LBN; Lesotho, LSO; Liberia, LBR; Libya, LBY; Lithuania, LTU; Luxembourg, LUX; Madagascar, MDG; Malawi, MWI; Malaysia, MYS; Maldives, MDV; Mali, MLI; Malta, MLT; Marshall Islands, MHL; Mauritania, MRT; Mauritius, MUS; Mexico, MEX; Micronesia (Federated States of), FSM; Moldova, MDA; Mongolia, MNG; Montenegro, MNE; Morocco, MAR; Mozambique, MOZ; Myanmar, MMR; Namibia, NAM; Nauru, NRU; Nepal, NPL; Netherlands, NLD; New Zealand, NZL; Nicaragua, NIC; Niger, NER; Nigeria, NGA; Niue, NIU; North Korea, PRK; North Macedonia, MKD; Norway, NOR; Occupied Palestinian Territory, PSE; Oman, OMN; Pakistan, PAK; Palau, PLW; Panama, PAN; Papua New Guinea, PNG; Paraguay, PRY; Peru, PER; Philippines, PHL; Poland, POL; Portugal, PRT; Puerto Rico, PRI; Qatar, QAT; Romania, ROU; Russian Federation, RUS; Rwanda, RWA; Saint Kitts and Nevis, KNA; Saint Lucia, LCA; Samoa, WSM; Sao Tome and Principe, STP; Saudi Arabia, SAU; Senegal, SEN; Serbia, SRB; Seychelles, SYC; Sierra Leone, SLE; Singapore, SGP; Slovakia, SVK; Slovenia, SVN; Solomon Islands, SLB; Somalia, SOM; South Africa, ZAF; South Korea, KOR; South Sudan, SSD; Spain, ESP; Sri Lanka, LKA; Saint Vincent and the Grenadines, VCT; Sudan, SDN; Suriname, SUR; Sweden, SWE; Switzerland, CHE; Syrian Arab Republic, SYR; Taiwan, TWN; Tajikistan, TJK; Tanzania, TZA; Thailand, THA; Timor-Leste, TLS; Togo, TGO; Tokelau, TKL; Tonga, TON; Trinidad and Tobago, TTO; Tunisia, TUN; Turkey, TUR; Turkmenistan, TKM; Tuvalu, TUV; Uganda, UGA; Ukraine, UKR; United Arab Emirates, ARE; United Kingdom, GBR; United States of America, USA; Uruguay, URY; Uzbekistan, UZB; Vanuatu, VUT; Venezuela, VEN; Vietnam, VNM; Yemen, YEM; Zambia, ZMB. 878 | Nature | Vol 615 | 30 March 2023 Article ages, these advantages have disappeared in high-income countries and diminished in middle-income countries and emerging economies in Asia, Latin America and the Caribbean, and parts of Middle East and north Africa. Specifically, in these settings, successive cohorts of school-aged children and adolescents living in cities were outpaced by those in rural areas in terms of height gain but gained slightly more weight by 2020, typically in the unhealthy range (Fig. 7). This contrasted with the poorest region in the world: sub-Saharan Africa. In this region, the urban height advantage persisted or even expanded, whereas rural mean BMI went beyond remedying underweight and surpassed the median of the WHO reference population in 2020, hence consolidating the urban advantage. South Asia had a mixed pattern of urban versus rural trends from 1990 to 2020, with children and adolescents in rural areas gaining both more height and more weight for their height than those in cities. Notably, our results also show that differences in height and BMI between urban and rural populations within most countries are smaller than the differences across countries, even those in the same region. We also found that the urban–rural BMI gap, although dynamic, changed much less than the BMI of either subgroup of the popula- tion and less than commonly assumed when discussing the role of cities in the obesity epidemic8,10,12,13,15,16. Urban–rural BMI differences were especially small in high-income countries, which is consistent with evidence from a few countries that show diets and behaviours are affected more by household socioeconomic status than whether children and adolescents live in cities or rural areas29,30. Urban BMI excess increased slightly more in middle-income countries in east and southeast Asia, Latin America and the Caribbean, and Middle East and north Africa, a trend that was the opposite of the convergence in BMI of a 13 5 14 0 14 5 15 0 15 5 135 140 145 150 155 cm Urban ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT 13 5 14 0 14 5 15 0 15 5 135 140 145 150 155 cm Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT b –2 0 2 4 6 8 –2 0 2 4 6 8 –2 0 2 4 6 8 cm Urban ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT –2 0 2 4 6 8 cm Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT c 0 0.5 1.0 1.5 2.0 2.5 –5 50 Change in age-standardized mean urban height (cm) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (c m ) Central and eastern Europe Central Asia, Middle East and north Africa East and southeast Asia High-income Asia Paci�c High-income western Latin America and Caribbean Oceania South Asia Sub-Saharan Africa PP >0.99 0.975< PP ≤0.99 0.95< PP ≤0.975 0.75< PP ≤0.95 PP ≤0.75 0 0.5 1.0 1.5 2.0 2.5 –5 50 Change in age-standardized mean rural height (cm) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (c m ) d M N E B IH H R V H U N S V N S V K S R B C Z E B G R R O U P O L A LB M K D ES T LT U LV A B LR U KR RU S M DA KA Z AZE GEO ARM TK M KGZ UZB MNG TJK LBN ARE TUR IRQ TUN LBY KWT BHR JOR EGY SYR DZA MAR PSE QAT IRN OMN SAU YEM CHN TWN PRK THA MDV MYS BRN VNMKHMMMRIDNLAOPHLTLSKORSGPJPNAUSCANNZLIRLUSAGBRNLDDNKISLNORDEUAUTSW E FINBELC H E LU X G RL G R C FR A ITAES P A N D C Y P IS R M LT P R T B O L P E R E C U V C T A TG D M A G R D B R B K N A LC A JA M B M U P R I TT O H TI S U R B H S D O M G U Y C U B B LZC R I PA N VE NSL V M EXN ICHNDCO L GTMPRYURYARGBRACHLFJIVUTSLBPNGPYFNIUCOKASMTONTUVPLWWSMKIRFSMNRUMHLTKLAFG NPL BGD LKA IND BTN PAK GAB CAF GNQ COD AGO COG MUS SYC SSD KEN SDN SOM ERI DJI BDI MOZ COM ETH ZMB MDG MWI TZA UGA RW A BW A SW Z ZW E NAM LSO ZAF M LI C PV SEN TC D G IN C IV TG O C M R G H A S TP B FA G N B N E R B E N G M B M R T N G A S LE LB R 130 135 140 145 150 155 160Urban M N E B IH H R V S V N S V K C Z E S R B H U N P O L B G R M K D R O U A LB ES T LT U LV A U KR BL R M DA RU S KA Z AZE GEO ARM TK M UZB KGZ MNG TJK LBN ARE IRQ TUR LBY BHR JOR EGY TUN PSE SYR DZA QAT MAR IRN OMN SAU YEM KWT TWN CHN PRK THA MDV BRN MYSVNMKHMMMRLAOIDNPHLTLSKORJPNSGPAUSNZLCANIRLGBRUSANLDDNKISLNORSW E DEUAUTBELFINLU X C H E G RL G R C FR A ITAES P A N D C Y P IS R P R T M LT B O L E C U P E R V C T A TG D M A G R D B R B K N A LC A JA M TT O P R I H TI S U R B H S D O M C U B G U Y B LZ B M U VE NC R I SL V M EXN ICH N D CO L PA N GTMPRYBRACHLARGURYFJIVUTSLBPNGPYFNIUCOKTKLASMTONTUVPLWWSMKIRFSMMHLNRU AFG BGD LKA IND NPL BTN PAK GAB CAF GNQ AGO COD COG MUS SYC SSD KEN SDN ERI SOM DJI BDI COM MOZ ZMB ETH MWI MDG TZA UGA RW A BW A SW Z ZW E NAM ZAF LSO C PV M LI SEN TC D G IN S TP TG O G H A C IV G N B B FA C M R N E R B E N G M B M R T N G A S LE LB R 130 135 140 145 150 155 160Rural Fig. 3 | Urban and rural height in 2020 and change from 1990 to 2020 for boys. a–d, See the caption for Fig. 2 for descriptions of the contents of the figure and for definitions. We did not estimate mean rural height in countries classified as entirely urban (Bermuda, Kuwait, Nauru and Singapore), mean urban height in countries classified as entirely rural (Tokelau) or their change over time, as indicated in grey. Nature | Vol 615 | 30 March 2023 | 879 adults in these same regions21. Additional analyses of data collected by the NCD Risk Factor Collaboration (NCD-RisC) for young adults (20–29 and 30–39 years) showed that the shift from a small divergent trend to convergence of BMI between urban and rural areas happens in young adulthood (Extended Data Figs. 6 and  7), a period during which there is substantial, but variable, weight gain among population subgroups31. These shifts in trends from adolescence to young adulthood might be a result of changes in diet and energy expenditure that accompany changes in household structure, social and economic roles and the living environment32–34. Long-term follow-up studies have shown that children and adoles- cents do not achieve their height potential if they do not consume suf- ficient and diverse nutritious foods or if they are exposed to repeated or persistent infections, which result in loss of nutrients2. Studies that use data on household socioeconomic and environmental factors have indicated that these physiological determinants of height are them- selves affected by income, education, quality of the living environment and access to healthcare in rural as well as urban areas35. This evidence indicates that the relatively small urban–rural height differentials in high-income countries may be because of a greater abundance of nutritious foods, including some fortified foods, better education and healthcare and greater ability to finance programmes that promote healthy growth in countries with greater per-capita income and better infrastructure. Variations across these countries in the urban–rural height gap within this small range may be due to the extent of socioeco- nomic inequalities and poverty, differences in the availability and cost of nutritious foods between cities and rural areas and whether there are specific programmes (for example, food assistance or school food programmes) that improve nutrition in disadvantaged groups30,36,37. The more marked changes in height in urban versus rural areas took place in middle-income countries and emerging economies. Case studies in some countries where the heights of children and adolescents living in rural and urban areas converged show that the convergence was partly due to using the growth in national income towards programmes and services that helped close gaps in nutrition, sanitation and healthcare between different areas and social groups38–40. In countries in central and eastern Europe, transition to a market economy and increases in trade may have reduced the disparity in access to, and seasonality of, healthy foods between urban and rural areas41, and partly underlie the convergence of height seen in our results. By contrast, case studies in some countries have shown that where economic growth was accom- panied by large inequalities in income, nutrition and/or services, the urban advantage persisted42–44. The notable exception in the global trends was sub-Saharan Africa, where a stagnation or reversal of height gain in rural areas led to the persistence or widening of urban–rural height differences, whereas the opposite happened for BMI (Fig. 7). Case studies of specific countries have indicated that unfavourable trends in nutrition in rural Africa, where the majority of the poorest people in the world live, started from macroeconomic shocks in the late twentieth century45 and subsequent agriculture, trade and development policies that limited improvements in income and services, and emphasized agricultural exports over local food security and diversity45. These macroeconomic factors in turn led to less diverse diets, with higher caloric intake rather than a shift to protein-rich and nutrient-rich foods (for example, animal products, seafood, fruits and vegetables)46–48. Moreover, the slow expansion of infrastructure and services in rural areas restricted improvements in other determinants of healthy growth, such as clean water, sanitation and health care49. Several other factors may have had a secondary role in the observed trends in height and BMI and their difference in rural and urban areas. First, weight gain during childhood may reduce the age of puberty High-income Asia Paci�c High-income western Central Asia, Middle East and north Africa East and southeast Asia Central and eastern Europe Sub-Saharan Africa Oceania Latin America and Caribbean South Asia High-income Asia Paci�c High-income western Central Asia, Middle East and north Africa East and southeast Asia Central and eastern Europe Sub-Saharan Africa Oceania Latin America and Caribbean South Asia Age-standardized mean rural BMI (kg m–2) U rb an –r ur al d iff er en ce in a ge -s ta nd ar d iz ed m ea n B M I ( kg m –2 ) U rb an –r ur al d iff er en ce in a ge -s ta nd ar d iz ed m ea n B M I ( kg m –2 ) a b Age-standardized mean rural BMI (kg m–2) 15 16 17 18 19 20 21 22 23 24 25 15 16 17 18 19 20 21 22 23 24 25 15 16 17 18 19 20 21 22 23 24 25 15 16 17 18 19 20 21 22 23 24 25 15 16 17 18 19 20 21 22 23 24 25 15 16 17 18 19 20 21 22 23 24 25 0 0.5 1.0 0 0.5 1.0 0 0.5 1.0 0 0.5 1.0 0 0.5 1.0 0 0.5 1.0 Fig. 4 | Change in the urban–rural BMI difference from 1990 to 2020. a,b, Change in urban–rural difference in age-standardized mean BMI for girls (a) and boys (b) in relation to change in age-standardized mean rural BMI. See the caption for Fig. 1 for a description of the contents of this figure. See Extended Data Fig. 3 for urban–rural differences in age-standardized mean BMI and their change over time shown as maps, together with uncertainties in the estimates. See Supplementary Fig. 4b for results at ages 5, 10, 15 and 19 years. We did not estimate the difference between rural and urban BMI for countries classified as entirely urban (Bermuda, Kuwait, Nauru and Singapore) or entirely rural (Tokelau). 880 | Nature | Vol 615 | 30 March 2023 Article onset, which in turn may limit height gain during adolescence50,51. No comparable global data currently exist on age at menarche and timing of pubertal growth, even at the national level. Second, rural-to-urban migration and reclassification of previously rural areas to urban as they grow and industrialize may account for some of the observed population-level trends. However, migration tends to be less common in childhood and adolescence than in adulthood in most countries. Finally, improvements in survival among children aged under 5 years in rural areas, particularly low-birthweight children, may have influ- enced the height and weight of those who survive beyond 5 years of age. However, current data on changes in child survival in rural and urban areas in sub-Saharan Africa are limited and inconclusive in terms of whether mortality declined faster in rural or urban areas52,53. As attention in global health turns to children and adolescents, there is a need to consider and evaluate how growth and development in these formative ages may be affected both by social and economic policies that influence household income and poverty and by pro- grammes that affect nutrition, health services, infrastructure and living environments in rural and urban areas. The need to identify, implement and evaluate policies and programmes that improve growth and development outcomes is particularly relevant as the increase in poverty and the cost of food, especially of nutrient-rich foods, as a result of the macroeconomic changes resulting from the COVID-19 pandemic and the war in Ukraine, may hinder further gains or even set back healthy growth and development in children and adolescents. a 16 18 20 22 24 16 18 20 22 24 16 18 20 22 24 kg m–2 ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT 16 18 20 22 24 kg m–2 Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT b 0 1 2 3 0 1 2 3 0 1 2 3 kg m–2 ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT 0 1 2 3 kg m–2 Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT c 0 0.25 0.50 0.75 1.00 –2 0 2 –2 0 2 Change in age-standardized mean urban BMI (kg m–2) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (k g m –2 ) Central and eastern Europe Central Asia, Middle East and north Africa East and southeast Asia High-income Asia Paci�c High-income western Latin America and Caribbean Oceania South Asia Sub-Saharan Africa PP >0.99 0.975< PP ≤0.99 0.95< PP ≤0.975 0.75< PP ≤0.95 PP ≤0.75 0 0.25 0.50 0.75 1.00 Change in age-standardized mean rural BMI (kg m–2) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (k g m –2 ) d H U N S V N S R B M K D H R V A LB B G R M N E S V K P O L R O U B IH C ZE ES T LV A LT U B LR RU S M DA UKR UZB GEO ARM AZE M NG TKM KAZ KGZ TJK EGY ARE BHR KWT IRQ QAT DZA PSE SAU LBN SYR LBY JOR OMN TUR TUN IRN MAR YEM CHN TWN PRK BRN MYS THA IDN MDVMMRPHLLAOKHMVNMTLSKORSGPJPNUSANZLAUSGBRIRLCANGRLFINBELSW EISLLUXDEUAUT NO R C H E N LD D N K M LT G R C ESP A N D C Y P IS R ITAP R T FR A P E R B O L E C U B H S A TG B LZ K N A B R B V C T D M A D O M P R I LC A G R D B M U G U Y JA M S U R TT O C U BH TI PA N M EXSL VN ICC RIH N D G TMCO L VE NCHLURYARGPRYBRAPNGVUTSLBFJINIUTONCOKWSMTUVNRUASMPYFKIRFSMPLWMHLTKL AFG BTN NPL PAK LKA BGD IND COD GAB GNQ CAF AGO COG SYC MUS RWA COM MWI KEN ZMB UGA SSD MOZ DJI SOM TZA ERI SDN BDI M DG ETH SW Z ZAF ZW E LSO BW A N AM M RT C M R TG O G H A G IN C IV S LE LB R M LI B EN B FA G N B S TP C P V TC D G M B N G A N E R S E N 14 16 18 20 22 24 26 Urban H U N H R V S V N S R B S V K M K D P O L B G R B IH M N E R O U C ZE A LB ES T LV A LT U B LR RU S M DA UKR UZB GEO M NG AZE ARM TKM KGZ KAZ TJK EGY BHR IRQ QAT ARE DZA SAU PSE LBN SYR LBY JOR OMN TUN TUR MAR IRN YEM KWT TWN CHN PRK BRN MYS THA IDN MDVLAOMMRPHLKHMVNMTLSKORJPNSGPUSAAUSNZLGBRCANIRLGRLFINBELSW EISLNORLUXDEUAUT N LD D N K C H E M LT G R C ISRITAES P A N D C Y P P R T FR A B O L P E R E C U B H S A TG B LZ K N A B R B V C T D M A D O M P R I LC A G R D G U Y S U R JA M TT O C U B H TI B M U PA N M EXN ICSL VC RIC O L HND G TMVE NCHLURYARGBRAPRYPNGVUTSLBFJINIUTONCOKTKLWSMTUVASMPYFKIRFSMPLWMHLNRU AFG BTN NPL PAK LKA BGD IND GAB COD GNQ CAF AGO COG SYC MUS COM MWI SSD RWA ZMB KEN UGA MOZ DJI SOM TZA ERI MDG SDN BDI ETH SW Z ZAF LSO ZW E BW A N AM M RT C M R G IN G H A TG O S TP S LE C IV LB R M LI B E N G N B C P V B FA TC D N G A G M B N E R S E N 14 16 18 20 22 24 26 Rural Urban Urban Fig. 5 | Urban and rural BMI in 2020 and change from 1990 to 2020 for girls. a–d, See the caption for Fig. 2 for descriptions of the contents of the figure and for definitions. See Extended Data Fig. 5 for a map of PP of the estimated change. See Supplementary Fig. 6 for results at ages 5, 10, 15 and 19 years. See Supplementary Table 4 for numerical results, including CrIs, as age-standardized and at ages 5, 10, 15 and 19 years. We did not estimate mean rural BMI in countries classified as entirely urban (Singapore, Bermuda and Nauru), mean urban BMI in areas classified as entirely countries (Tokelau) or their change over time, as indicated in grey. Nature | Vol 615 | 30 March 2023 | 881 Online content Any methods, additional references, Nature Portfolio reporting sum- maries, extended data, supplementary information, acknowledge- ments, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at https://doi.org/10.1038/s41586-023-05772-8. 1. Prentice, A. M. et al. Critical windows for nutritional interventions against stunting. Am. J. Clin. Nutr. 97, 911–918 (2013). 2. 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Endocrinol. 7, 163–167 (2015). a 16 18 20 22 24 16 18 20 22 24 16 18 20 22 24 kg m–2 Urban ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT 16 18 20 22 24 kg m–2 Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT b 0 1 2 3 0 1 2 3 0 1 2 3 kg m–2 Urban ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT 0 1 2 3 kg m–2 Rural ASM BHR BMU BRN CPV COM COK FJI PYF KIR MDV MHL MUS FSM MNE NRU NIU PLW WSM STP SYC SLB TKL TON TUV VUT c 0 0.25 0.50 0.75 1.00 Change in age-standardized mean urban BMI (kg m–2) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (k g m –2 ) Central and eastern Europe Central Asia, Middle East and north Africa East and southeast Asia High-income Asia Paci�c High-income western Latin America and Caribbean Oceania South Asia Sub-Saharan Africa PP >0.99 0.975< PP ≤0.99 0.95< PP ≤0.975 0.75< PP ≤0.95 PP ≤0.75 0 0.25 0.50 0.75 1.00 –2 20 –2 20 Change in age-standardized mean rural BMI (kg m–2) U nc er ta in ty (p os te rio r s. d .) of t he e st im at e (k g m –2 ) d H U N S R B S V N M N E B IH M K D H R V S V K B G R A LB P O L R O U C ZE ES T B LR LV A LT U RU S M DA UKR UZB AZE ARM GEO TK M KAZ KGZ MNG TJK QAT KWT ARE LBN BHR IRQ SAU OMN EGY LBY SYR PSE IRN TUR JOR DZA TUN YEM MAR CHN PRK TWN BRN THA MYS MDVKHMLAOVNMIDNPHLMMRTLSKORSGPJPNUSANZLAUSCANGBRIRLAUTFINDEUSW EISLCHEDNKLUXBELG RL N O R N LD C YP G R C ESP IS RA N D M LT ITAP R T FR A B O L P E R E C U B H S A TG B LZ K N A B R B V C T S U R P R I H TI LC A G R D B M U D M A TT O C U B D O M G U Y JA M M EXVE N H N D SL V PA NN ICCRICO L GTMCHLURYARGBRAPRYPNGVUTFJISLBCOKNIUNRUTONTUVPLWPYFASMKIRWSMFSMMHLTKL AFG NPL LKA BTN PAK IND BGD GAB COG GNQ CAF AGO COD MUS SYC SSD MOZ KEN ZMB TZA COM DJI BDI MDG UGA SOM RWA SDN MW I ERI ETH SW Z ZAF NAM ZW E BW A LSO C M R STP B EN C IV TG O G H A M R T S LE M LI C P V G N B G M B TC D B FA G IN LB R N E R N G A S E N 14 16 18 20 22 24 26Urban H U N S R B S V N H R V S V K B IH M N E B G R P O L M K D C ZE R O U A LB ES T B LR R U S LV A LT U U KR M DA UZB AZE GEO ARM TK M KAZ KGZ MNG TJK QAT ARE LBN BHR IRQ OMN EGY SAU LBY SYR PSE JOR TUR IRN DZA TUN YEM MAR KWT CHN TWN PRK BRN MYS THA MDVKHMLAOIDNPHLVNMMMRTLSKORJPNSGPUSAAUSNZLCANGBRIRLFINAUTSW EDEUISLDNKBELCHE LUXN O R G RL N LD C YP G R C ESP IS RA N D ITAP R T M LT FR A B O L E C U P E R B H S A TG B LZ K N A B R B V C T S U R P R I H TI LC A G R D D M A TT O D O M C U B G U Y JA M B M U VE N M EXPA N H N DSL VN ICCRICO L GTMCHLURYARGBRAPRYPNGVUTFJISLBCOKNIUTKLTONTUVPLWPYFASMKIRWSMFSMMHLNRU AFG BTN NPL LKA PAK IND BGD GAB COG GNQ CAF AGO COD MUS SYC SSD KEN ZMB MOZ TZA COM BDI MDG DJI SOM UGA RWA SDN MW I ERI ETH SW Z ZAF NAM LSO ZW E BW A C M R STP B EN C IV TG O G H A M LI M R T S LE G N B G M B TC D C P V B FA LB R G IN N E R N G A S E N 14 16 18 20 22 24 26Rural Fig. 6 | Urban and rural BMI in 2020 and change from 1990 to 2020 for boys. a–d, See the caption for Fig. 2 for descriptions of the contents of the figure and for definitions. 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Jamil424, Konrad Jamrozik337,777, Anna Jansson425, Imre Janszky426, Edward Janus427, Juel Jarani428, Marjo-Riitta Jarvelin1,93, Grazyna Jasienska326, Ana Jelaković111, Bojan Jelaković27, Garry Jennings429, Chao Qiang Jiang430, Ramon O. Jimenez431, Karl-Heinz Jöckel293, Michel Joffres432, Jari J. Jokelainen92, Jost B. Jonas433, Jitendra Jonnagaddala434, Torben Jørgensen10, Pradeep Joshi435, Josipa Josipović111, Farahnaz Joukar436, Jacek J. Jóźwiak437, Debra S. Judge397, Anne Juolevi20, Gregor Jurak28, Iulia Jurca Simina11, Vesna Juresa27, Rudolf Kaaks177, Felix O. Kaducu438, Anthony Kafatos439, Mónika Kaj440, Eero O. Kajantie20, Natia Kakutia441, Daniela Kállayová442, Zhanna Kalmatayeva280, Ofra Kalter-Leibovici217, Yves Kameli256, Freja B. Kampmann10, Kodanda R. Kanala443, Srinivasan Kannan444, Efthymios Kapantais445, Eva Karaglani446, Argyro Karakosta447, Line L. Kårhus10, Khem B. Karki448, Philippe B. Katchunga449, Marzieh Katibeh450, Joanne Katz451, Peter T. Katzmarzyk452, Jussi Kauhanen19, Prabhdeep Kaur453, Maryam Kavousi411, Gyulli M. Kazakbaeva149, François F. Kaze88, Calvin Ke454, Ulrich Keil455, Lital Keinan Boker456, Sirkka Keinänen-Kiukaanniemi92, Roya Kelishadi457, Cecily Kelleher127, Han C. G. Kemper219, Maryam Keramati297, Alina Kerimkulova458, Mathilde Kersting459, Timothy Key44, Yousef Saleh Khader121, Arsalan Khaledifar460, Davood Khalili399, Kay-Tee Khaw461, Bahareh Kheiri399, Motahareh Kheradmand462, Alireza Khosravi463, Ilse M. S. L. Khouw173, Ursula Kiechl-Kohlendorfer464, Sophia J. Kiechl465, Stefan Kiechl464,465, Japhet Killewo466, Hyeon Chang Kim467, Jeongseon Kim468, Jenny M. Kindblom153,469, Andrew Kingston470, Heidi Klakk471, Magdalena Klimek326, Jeannette Klimont472, Jurate Klumbiene137, Michael Knoflach464, Bhawesh Koirala473, Elin Kolle76, Patrick Kolsteren172, Jürgen König474, Raija Korpelainen93, Paul Korrovits475, Magdalena Korzycka310, Jelena Kos111, Seppo Koskinen20, Katsuyasu Kouda476, Éva Kovács477, Viktoria Anna Kovacs440, Irina Kovalskys478, Sudhir Kowlessur479, Slawomir Koziel347, Jana Kratenova195, Wolfgang Kratzer480, Vilma Kriaucioniene137, Susi Kriemler166, Peter Lund Kristensen225, Helena Krizan481, Maria F. Kroker-Lobos482, Steinar Krokstad426, Daan Kromhout197, Herculina S. Kruger483,484, Ruan Kruger483,484, Łukasz Kryst485, Ruzena Kubinova195, Renata Kuciene137, Urho M. Kujala486, Enisa Kujundzic487, Zbigniew Kulaga357, Mukhtar Kulimbet280,89, R. Krishna Kumar488, Marie Kunešová489, Pawel Kurjata276, Yadlapalli S. Kusuma490, Vladimir Kutsenko103, Kari Kuulasmaa20, Catherine Kyobutungi491, Quang Ngoc La492, Fatima Zahra Laamiri493, Carl Lachat172, Karl J. Lackner140, Youcef Laid494, Lachmie Lall495, Tai Hing Lam395, Maritza Landaeta Jimenez174, Edwige Landais256, Vera Lanska356, Georg Lappas496, Bagher Larijani497, Simo Pone Larissa498, Tint Swe Latt499, Martino Laurenzi500, Laura Lauria269, Maria Lazo-Porras136, Gwenaëlle Le Coroller66, Khanh Le Nguyen Bao266, Agnès Le Port256, Tuyen D. Le266, Jeannette Lee214,501, Jeonghee Lee468, Paul H. Lee502, Nils Lehmann293, Terho Lehtimäki503,504, Daniel Lemogoum505, Branimir Leskošek28, Justyna Leszczak107, Katja B. Leth-Møller10, Gabriel M. Leung395, Naomi S. Levitt506, Yanping Li7, Merike Liivak340, Christa L. Lilly507, Charlie Lim214,501, Wei-Yen Lim214,501, M. Fernanda Lima-Costa508, Hsien-Ho Lin222, Xu Lin509, Yi-Ting Lin510, Lars Lind510, Vijaya Lingam335, Birgit Linkohr272, Allan Linneberg10, Lauren Lissner153, Mieczyslaw Litwin357, Jing Liu511, Lijuan Liu369, Wei-Cheng Lo512, Helle-Mai Loit340, Khuong Quynh Long492, Guadalupe Longo Abril513, Luis Lopes200, Marcus V. V. Lopes119, Oscar Lopes514, Esther Lopez-Garcia106, Tania Lopez515, Paulo A. Lotufo139, José Eugenio Lozano516, Janice L. Lukrafka517, Dalia Luksiene137, Annamari Lundqvist20, Nuno Lunet200, Charles Lunogelo518, Michala Lustigová228,195, Edyta Łuszczki107, Jean-René M’Buyamba-Kabangu519, Guansheng Ma22, Xu Ma387, George L. L. Machado-Coelho122, Aristides M. Machado-Rodrigues25, Enguerran Macia278, Luisa M. Macieira520, Ahmed A. Madar53, Anja L. Madsen10, Gladys E. Maestre521, Stefania Maggi522, Dianna J. Magliano523, Sara Magnacca258, Emmanuella Magriplis524, Gowri Mahasampath128, Bernard Maire256, Marjeta Majer27, Marcia Makdisse525, Päivi Mäki20, Fatemeh Malekzadeh273, Reza Malekzadeh302,273, Rahul Malhotra207, Kodavanti Mallikharjuna Rao21, Sofia K. Malyutina526, Lynell V. Maniego45, Yannis Manios446, Masimango Imani Manix527, Jim I. Mann26, Fariborz Mansour-Ghanaei436, Taru Manyanga528, Enzo Manzato529, Anie Marcil232, Paula Margozzini138, Joany Mariño530, Anastasia Markaki531, Oonagh Markey532, Eliza Markidou Ioannidou533, Pedro Marques-Vidal534,535, Larissa Pruner Marques536, Jaume Marrugat537,538, Yves Martin-Prevel256, Rosemarie Martin539, Reynaldo Martorell418, Eva Martos540, Katharina Maruszczak541, Stefano Marventano328, Giovanna Masala542, Luis P. Mascarenhas543, Shariq R. Masoodi544, Ellisiv B. Mathiesen545, Prashant Mathur546, Alicia Matijasevich139, Piotr Matłosz107, Tandi E. Matsha547, Victor Matsudo548, Christina Mavrogianni446, Artur Mazur107, Jean Claude N. Mbanya88, Shelly R. McFarlane289, Stephen T. McGarvey549, Martin McKee550, Stela McLachlan551, Rachael M. McLean26, Scott B. McLean232, Margaret L. McNairy552, Breige A. McNulty127, Sounnia Mediene Benchekor404, Jurate Medzioniene137, Parinaz Mehdipour12, Kirsten Mehlig153, Amir Houshang Mehrparvar51, Aline Meirhaeghe553, Jørgen Meisfjord83, Christa Meisinger272, Jesus D. Melgarejo167, Marina Melkumova554, João Mello319, Fabián Méndez114, Carlos O. Mendivil555, Ana Maria B. Menezes90, Geetha R. Menon208, Gert B. M. Mensink556, Maria Teresa Menzano327, Indrapal I. Meshram21, Diane T. Meto557, Jie Mi211, Kim F. Michaelsen42, Nathalie Michels172, Kairit Mikkel312, Karolina Miłkowska326, Jody C. Miller26, Olga Milushkina558, Cláudia S. Minderico559, G. K. Mini560, Juan Francisco Miquel138, J. Jaime Miranda136, Mohammad Reza Mirjalili51, Daphne Mirkopoulou561, Erkin Mirrakhimov458, Marjeta Mišigoj-Duraković27, Antonio Mistretta328, Veronica Mocanu562, Pietro A. Modesti563, Sahar Saeedi Moghaddam12, Bahram Mohajer12, Mostafa K. Mohamed564, Shukri F. Mohamed491, Kazem Mohammad273, Mohammad Reza Mohammadi273, Zahra Mohammadi273, Noushin Mohammadifard565, Reza Mohammadpourhodki297, Viswanathan Mohan78, Salim Mohanna136, Muhammad Fadhli Mohd Yusoff9, Iraj Mohebbi46, Farnam Mohebi4, Marie Moitry147,566, Line T. Møllehave10, Niels C. Møller225, Dénes Molnár389, Amirabbas Momenan399, Charles K. Mondo567, Roger A. Montenegro Mendoza568, Eric Monterrubio-Flores352, Kotsedi Daniel K. Monyeki569, Jin Soo Moon224, Mahmood Moosazadeh462, Hermine T. Mopa88, Farhad Moradpour336, Leila B. Moreira319, Alain Morejon570, Luis A. Moreno201,239, Francis Morey571, Karen Morgan572, Suzanne N. Morin2, Erik Lykke Mortensen42, George Moschonis573, Alireza Moslem574, Malgorzata Mossakowska575, Aya Mostafa564, Seyed-Ali Mostafavi273, Anabela Mota-Pinto25, Jorge Mota200, Mohammad Esmaeel Motlagh216, Jorge Motta568, Marcos André Moura-dos-Santos117, Yeva Movsesyan554, Kelias P. Msyamboza576, Thet Thet Mu577, Magdalena Muc25, Florian Muca578, Boban Mugoša487, Maria L. Muiesan579, Martina Müller-Nurasyid140, Thomas Münzel140, Jaakko Mursu19, Elaine M. Murtagh580, Kamarul Imran Musa313, Sanja Musić Milanović481,27, Vera Musil27, Geofrey Musinguzi581, Muel Telo M. C. Muyer582, Iraj Nabipour583, Shohreh Naderimagham12, Gabriele Nagel584, Farid Najafi379, Harunobu Nakamura476, Hanna Nalecz310, Jana Námešná94, Ei Ei K. Nang214,501, Vinay B. Nangia585, Martin Nankap586, Sameer Narake370, Paola Nardone269, Take Naseri587, Matthias Nauck530, William A. Neal507, Azim Nejatizadeh284, Chandini Nekkantti434, Keiu Nelis340, Ilona Nenko326, Martin Neovius588, Flavio Nervi138, Tze Pin Ng214, Chung T. Nguyen589, Nguyen D. Nguyen590, Quang Ngoc Nguyen591, Michael Y. Ni395, Rodica Nicolescu242, Peng Nie592, Ramfis E. Nieto-Martínez593, Yury P. Nikitin526, Guang Ning145, Toshiharu Ninomiya384, Nobuo Nishi16, Sania Nishtar594, Marianna Noale522, Oscar A. Noboa146, Helena Nogueira25, Maria Nordendahl314, Børge G. Nordestgaard43,42, Davide Noto108, Natalia Nowak-Szczepanska347, Mohannad Al Nsour595, Irfan Nuhoğlu294, Baltazar Nunes115,116, Eha Nurk340, Fred Nuwaha581, Moffat Nyirenda550, Terence W. O’Neill596, Dermot O’Reilly299, Galina Obreja597, Caleb Ochimana7, Angélica M. Ochoa-Avilés271, Eiji Oda598, Augustine N. Odili599, Kyungwon Oh600, Kumiko Ohara476, Claes Ohlsson153,469, Ryutaro Ohtsuka601, Örn Olafsson363, Maria Teresa A. Olinto319, Isabel O. Oliveira90, Mohd Azahadi Omar9, Saeed M. Omar602, Altan Onat603,777, Sok King Ong604, N. Charlotte Onland-Moret333, Lariane M. Ono398, Pedro Ordunez189, Rui Ornelas605, Ana P. Ortiz606, Pedro J. Ortiz136, Merete Osler10, Clive Osmond235, Sergej M. Ostojic265, Afshin Ostovar607, Johanna A. Otero608, Kim Overvad450, Ellis Owusu-Dabo609, Fred Michel Paccaud169, Ioannis Pagkalos383, Elena Pahomova282, Karina Mary de Paiva119, Andrzej Pająk326, Alberto Palloni610, Luigi Palmieri269, Wen-Harn Pan210, Songhomitra Panda-Jonas611, Arvind Pandey208, Francesco Panza612, Mariela Paoli179, Sousana K. Papadopoulou383, Dimitrios Papandreou613, Rossina G. Pareja268, Soon-Woo Park614, Suyeon Park600, Winsome R. Parnell26, Mahboubeh Parsaeian273, Ionela M. Pascanu615, Patrick Pasquet72, Nikhil D. Patel616, Marcos Pattussi259, Halyna Pavlyshyn323, Raimund Pechlaner464, Ivan Pećin111, Mangesh S. Pednekar370, João M. Pedro617, Nasheeta Peer618, Sergio Viana Peixoto508, Markku Peltonen20, Alexandre C. Pereira139, Marco A. Peres619, Cynthia M. Pérez606, Valentina Peterkova162, Annette Peters272, Astrid Petersmann530, Janina Petkeviciene137, Ausra Petrauskiene137, Olga Petrovna Kovtun80, Emanuela Pettenuzzo620, Niloofar Peykari264, Norbert Pfeiffer140, Modou Cheyassin Phall423, Son Thai Pham621, Rafael N. Pichardo622, Daniela Pierannunzio269, Iris Pigeot54, Hynek Pikhart159, Aida Pilav623, Lorenza Pilotto624, Francesco Pistelli625, Freda Pitakaka626, Aleksandra Piwonska276, Andreia N. Pizarro200, Pedro Plans-Rubió627, Alina G. Platonova628, Bee Koon Poh629, Hermann Pohlabeln54, Nadija S. Polka628, Raluca M. Pop615, Stevo R. Popovic151, Miquel Porta538, Georg Posch234, Anil Poudyal150, Dimitrios Poulimeneas383, Hamed Pouraram273, Farhad Pourfarzi630, Akram Pourshams273, Hossein Poustchi273, Rajendra Pradeepa78, Alison J. Price550, Jacqueline F. Price551, Antonio Prista631, Rui Providencia159, Jardena J. Puder534, Iveta Pudule632, Maria Puiu11, Margus Punab475, Muhammed S. Qadir633, Radwan F. Qasrawi31, Mostafa Qorbani634, Hedley K. Quintana568, Pedro J. Quiroga-Padilla555, Tran Quoc Bao635, Stefan Rach54, Ivana Radic265, Ricardas Radisauskas137, Salar Rahimikazerooni302, Mahfuzar Rahman636, Mahmudur Rahman637, Olli Raitakari638, Manu Raj488, Tamerlan Rajabov639, Sherali Rakhmatulloev34, Ivo Rakovac15, Sudha Ramachandra Rao453, Ambady Ramachandran206, Otim P. C. Ramadan640, Virgílio V. Ramires641, Jacqueline Ramke126, Elisabete Ramos97, Rafel Ramos642, Lekhraj Rampal643, Sanjay Rampal644, Lalka S. Rangelova218, Vayia Rarra645, Ramon A. Rascon-Pacheco37, Cassiano Ricardo Rech119, Josep Redon412, Paul Ferdinand M. Reganit646, Valéria Regecová647, Jane D. P. Renner648, Judit A. Repasy389, Cézane P. Reuter648, Luis Revilla515, Abbas Rezaianzadeh302, Yeunsook Rho374, Lourdes Ribas-Barba649, Robespierre Ribeiro650,777, Elio Riboli1, Adrian Richter530, Fernando Rigo651, Attilio Rigotti138, Natascia Rinaldo361, Tobias F. Rinke de Wit652, Ana I. Rito115, Raphael M. Ritti-Dias653, Juan A. Rivera352, Reina G. Roa654, Louise Robinson470, Cynthia Robitaille655, Romana Roccaldo204, Daniela Rodrigues25, Fernando Rodríguez-Artalejo106, María del Cristo Rodriguez-Perez262, Laura A. Rodríguez-Villamizar656, Andrea Y. Rodríguez657, Ulla Roggenbuck293, Peter Rohloff658, Fabian Rohner659, Rosalba Rojas-Martinez352, Nipa Rojroongwasinkul8, Dora Romaguera239, Elisabetta L. Romeo660, Rafaela V. Rosario661, Annika Rosengren153,469, Ian Rouse662, Vanessa Rouzier663, Joel G. R. Roy232, Maira H. Ruano664, Adolfo Rubinstein373, Frank J. Rühli166, Jean-Bernard Ruidavets165, Blanca Sandra Ruiz-Betancourt37, Maria Ruiz-Castell66, Emma Ruiz Moreno665, Iuliia A. Rusakova149, Kenisha Russell Jonsson425, Paola Russo666, Petra Rust474, Marcin Rutkowski667, Marge Saamel340, Charumathi Sabanayagam209, Hamideh Sabbaghi399, Elena Sacchini362, Harshpal S. Sachdev668, Alireza Sadjadi273, Ali Reza Safarpour302, Sare Safi399, Saeid Safiri300, Mohammad Hossien Saghi574, Olfa Saidi129, Nader Saki216, Sanja Šalaj27, Benoit Salanave257, Eduardo Salazar Martinez352, Calogero Saleva542, Diego Salmerón223, Veikko Salomaa20, Jukka T. Salonen296, Massimo Salvetti579, Margarita Samoutian669, Jose Sánchez-Abanto670, Inés Sánchez Rodríguez344, Sandjaja671, Susana Sans672, Loreto Santa Marina673, Ethel Santacruz132, Diana A. Santos559, Ina S. Santos90, Lèlita C. Santos520, Maria Paula Santos200, Osvaldo Santos674, Rute Santos200, Tamara R. Santos675, Jouko L. Saramies676, Luis B. Sardinha559, Nizal Sarrafzadegan565, Thirunavukkarasu Sathish418, Kai-Uwe Saum177, Savvas Savva376, Mathilde Savy256, Norie Sawada677, Mariana Sbaraini319, Marcia Scazufca678, Beatriz D. Schaan319, Angelika Schaffrath Rosario556, Herman Schargrodsky679, Anja Schienkiewitz556, Karin Schindler680, Sabine Schipf530, Carsten O. Schmidt530, Ida Maria Schmidt681, Andrea Schneider272, Peter Schnohr43, Ben Schöttker177, Sara Schramm293, Stine Schramm225, Helmut Schröder223, Constance Schultsz682, Matthias B. Schulze683, Aletta E. Schutte434,684, Sylvain Sebert93, Moslem Sedaghattalab382, Rusidah Selamat9, Vedrana Sember28, Abhijit Sen685, Idowu O. Senbanjo686, Sadaf G. Sepanlou273, Guillermo Sequera132, Luis Serra-Majem687, Jennifer Servais232, Ľudmila Ševčíková688, Svetlana Shalnova103, Teresa Shamah-Levy352, Seyed Morteza Shamshirgaran98, Coimbatore Subramaniam Shanthirani78, Maryam Sharafkhah273, Sanjib K. Sharma473, Jonathan E. Shaw523, Amaneh Shayanrad273, Ali Akbar Shayesteh216, Lela Shengelia441, Zumin Shi33, Kenji Shibuya366, Hana Shimizu-Furusawa689, Tal Shimony456, Rahman Shiri690, Namuna Shrestha85, Khairil Si-Ramlee604, Alfonso Siani666, Rosalynn Siantar209, Abla M. Sibai409, Labros S. Sidossis691, Natalia Silitrari692, Antonio M. Silva123, Caroline Ramos de Moura Silva117, Diego Augusto Santos Silva119, Kelly S. Silva119, Xueling Sim214,501, Mary Simon206, Judith Simons693, Leon A. Simons434, Agneta Sjöberg153, Michael Sjöström588,777, Natalia A. Skoblina558, Gry Skodje694, Tatyana Slazhnyova32, Jolanta Slowikowska-Hilczer105, Przemysław Slusarczyk575, Liam Smeeth550, Hung-Kwan So395, Fernanda Cunha Soares117, Grzegorz Sobek107, Eugène Sobngwi88, Morten Sodemann225, Stefan Söderberg314, Moesijanti Y. E. Soekatri695, Agustinus Soemantri696,777, Reecha Sofat159, Vincenzo Solfrizzi697, Mohammad Hossein Somi300, Emily Sonestedt338, Yi Song22, Sajid Soofi52, Thorkild I. A. Sørensen42, Elin P. Sørgjerd426, Charles Sossa Jérome698, Victoria E. Soto-Rojas364, Aïcha Soumaré699, Alfonso Sousa-Poza700, Slavica Sovic27, Bente Sparboe-Nilsen701, Karen Sparrenberger319, Phoebe R. Spencer397, Angela Spinelli269, Igor Spiroski702,703, Jan A. Staessen167, Hanspeter Stamm704, Kaspar Staub166, Bill Stavreski429, Jostein Steene-Johannessen76, Peter Stehle705, Aryeh D. Stein418, George S. Stergiou447, Article Jochanan Stessman421, Ranko Stevanović481, Jutta Stieber272,777, Doris Stöckl272, Jakub Stokwiszewski706, Ekaterina Stoyanova707, Gareth Stratton182, Karien Stronks49, Maria Wany Strufaldi315, Lela Sturua441, Ramón Suárez-Medina260, Machi Suka708, Chien-An Sun709, Liang Sun509, Johan Sundström510, Yn-Tz Sung396, Jordi Sunyer67, Paibul Suriyawongpaisal8, Nabil William G. Sweis710, Boyd A. Swinburn126, Rody G. Sy646, René Charles Sylva711, Moyses Szklo451, Lucjan Szponar706, Lorraine Tabone230, E. Shyong Tai214,501, Konstantinos D. Tambalis447, Mari-Liis Tammesoo312, Abdonas Tamosiunas137, Eng Joo Tan712, Xun Tang22, Maya Tanrygulyyeva713, Frank Tanser714, Yong Tao22, Mohammed Rasoul Tarawneh715, Jakob Tarp450, Carolina B. Tarqui-Mamani670, Radka Taxová Braunerová489, Anne Taylor337, Julie Taylor159, Félicité Tchibindat716, Saskia Te Velde717, William R. Tebar226, Grethe S. Tell385, Tania Tello136, Yih Chung Tham209, K. R. Thankappan341, Holger Theobald198, Xenophon Theodoridis339, Nihal Thomas128, Barbara Thorand272, Betina H. Thuesen10, Ľubica Tichá688, Erik J. Timmermans718, Dwi H. Tjandrarini719, Anne Tjonneland377, Hanna K. Tolonen20, Janne S. Tolstrup152, Murat Topbas294, Roman Topór-Mądry326, Liv Elin Torheim701, María José Tormo720, Michael J. Tornaritis376, Maties Torrent721, Laura Torres-Collado223, Stefania Toselli722, Giota Touloumi447, Pierre Traissac256, Thi Tuyet-Hanh Tran492, Mark S. Tremblay723, Areti Triantafyllou339, Dimitrios Trichopoulos7,777, Antonia Trichopoulou724, Oanh T. H. Trinh590, Atul Trivedi725, Yu-Hsiang Tsao726, Lechaba Tshepo727, Maria Tsigga383, Panagiotis Tsintavis383, Shoichiro Tsugane677, John Tuitele728,729, Azaliia M. Tuliakova149, Marshall K. Tulloch-Reid289, Fikru Tullu730, Tomi-Pekka Tuomainen19, Jaakko Tuomilehto20, Maria L. Turley731, Gilad Twig217,732, Per Tynelius588, Evangelia Tzala1, Themistoklis Tzotzas445, Christophe Tzourio699, Peter Ueda588, Eunice Ugel733, Flora A. M. Ukoli734, Hanno Ulmer464, Belgin Unal295, Zhamyila Usupova55, Hannu M. T. Uusitalo735, Nalan Uysal736, Justina Vaitkeviciute137, Gonzalo Valdivia138, Susana Vale737, Damaskini Valvi738, Rob M. van Dam739, Bert-Jan van den Born49, Johan Van der Heyden251, Yvonne T. van der Schouw333, Koen Van Herck172, Wendy Van Lippevelde172, Hoang Van Minh492, Natasja M. Van Schoor408, Irene G. M. van Valkengoed49, Dirk Vanderschueren167, Diego Vanuzzo624, Anette Varbo43,42, Gregorio Varela-Moreiras740, Luz Nayibe Vargas236, Patricia Varona-Pérez260, Senthil K. Vasan235, Daniel G. Vasques319, Tomas Vega516, Toomas Veidebaum340, Gustavo Velasquez-Melendez332, Biruta Velika632, Maïté Verloigne172, Giovanni Veronesi308, W. M. Monique Verschuren155, Cesar G. Victora90, Giovanni Viegi741, Lucie Viet155, Frøydis N. Vik133, Monica Vilar742, Salvador Villalpando352, Jesus Vioque743, Jyrki K. Virtanen19, Sophie Visvikis-Siest744, Bharathi Viswanathan168, Mihaela Vladulescu745, Tiina Vlasoff746, Dorja Vocanec27, Peter Vollenweider534,535, Henry Völzke530, Ari Voutilainen19, Martine Vrijheid67, Tanja G. M. Vrijkotte252,49, Alisha N. Wade747, Thomas Waldhör680, Janette Walton185, Elvis O. A. Wambiya491, Wan Mohamad Wan Bebakar313, Wan Nazaimoon Wan Mohamud748, Rildo de Souza Wanderley Júnior117, Ming-Dong Wang655, Ningli Wang369, Qian Wang749, Xiangjun Wang750, Ya Xing Wang368, Ying-Wei Wang751, S. Goya Wannamethee159, Nicholas Wareham461, Adelheid Weber130, Karen Webster-Kerr752, Niels Wedderkopp225, Daniel Weghuber541, Wenbin Wei368, Aneta Weres107, Bo Werner753, Leo D. Westbury235, Peter H. Whincup754, Kremlin Wickramasinghe15, Kurt Widhalm680, Indah S. Widyahening755, Andrzej Więcek227, Philipp S. Wild140, Rainford J. Wilks289, Johann Willeit464, Peter Willeit464, Julianne Williams15, Tom Wilsgaard545, Rusek Wojciech756, Bogdan Wojtyniak706, Kathrin Wolf272, Roy A. Wong-McClure30, Andrew Wong159, Emily B. Wong380, Jyh Eiin Wong629, Tien Yin Wong207, Jean Woo396, Mark Woodward1,434, Frederick C. Wu596, Hon-Yen Wu757, Jianfeng Wu144, Li Juan Wu368, Shouling Wu213, Justyna Wyszyńska107, Haiquan Xu758, Liang Xu759, Nor Azwany Yaacob313, Uruwan Yamborisut8, Weili Yan760, Ling Yang44, Xiaoguang Yang388, Yang Yang750, Nazan Yardim203, Tabara Yasuharu322, Martha Yépez García742, Panayiotis K. Yiallouros761, Agneta Yngve510, Moein Yoosefi12, Akihiro Yoshihara762, Qi Sheng You368, San-Lin You709, Novie O. Younger-Coleman289, Yu-Ling Yu167, Yunjiang Yu763, Safiah Md Yusof764, Ahmad Faudzi Yusoff9, Luciana Zaccagni361, Vassilis Zafiropulos765, Ahmad A. Zainuddin9, Seyed Rasoul Zakavi297, Farhad Zamani766, Sabina Zambon529, Antonis Zampelas524, Hana Zamrazilová489, Maria Elisa Zapata199, Abdul Hamid Zargar767, Ko Ko Zaw499, Ayman A. Zayed710, Tomasz Zdrojewski667, Magdalena Żegleń768, Kristyna Zejglicova195, Tajana Zeljkovic Vrkic111, Yi Zeng22,769, Luxia Zhang770, Zhen-Yu Zhang167, Dong Zhao511, Ming-Hui Zhao770, Wenhua Zhao388, Yanitsa V. Zhecheva419, Shiqi Zhen771, Wei Zheng188, Yingfeng Zheng270, Bekbolat Zholdin772, Maigeng Zhou388, Dan Zhu773, Marie Zins342,343, Emanuel Zitt234, Yanina Zocalo146, Nada Zoghlami81, Julio Zuñiga Cisneros568, Monika Zuziak774, Zulfiqar A. Bhutta416,52, Robert E. Black775 & Majid Ezzati1,41 ✉ 1Imperial College London, London, UK. 2McGill University, Montreal, Québec, Canada. 3University of Essex, Colchester, UK. 4University of California Berkeley, Berkeley, CA, USA. 5University of Kent, Canterbury, UK. 6World Health Organization, Geneva, Switzerland. 7Harvard T. H. Chan School of Public Health, Boston, MA, USA. 8Mahidol University, Nakhon Pathom, Thailand. 9Ministry of Health, Kuala Lumpur, Malaysia. 10Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark. 11Victor Babes University of Medicine and Pharmacy, Timisoara, Romania. 12Non-Communicable Diseases Research Center, Tehran, Iran. 13Swiss Tropical and Public Health Institute, Basel, Switzerland. 14University of Basel, Basel, Switzerland. 15World Health Organization Regional Office for Europe, Copenhagen, Denmark. 16National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan. 17South African Medical Research Council, Cape Town, South Africa. 18Seoul National University College of Medicine, Seoul, Republic of Korea. 19University of Eastern Finland, Kuopio, Finland. 20Finnish Institute for Health and Welfare, Helsinki, Finland. 21ICMR–National Institute of Nutrition, Hyderabad, India. 22Peking University, Beijing, China. 23Universidad de San Carlos, Guatemala City, Guatemala. 24BRAC James P. Grant School of Public Health, Dhaka, Bangladesh. 25University of Coimbra, Coimbra, Portugal. 26University of Otago, Dunedin, New Zealand. 27University of Zagreb, Zagreb, Croatia. 28University of Ljubljana, Ljubljana, Slovenia. 29GroundWork, Geneva, Switzerland. 30Caja Costarricense de Seguro Social, San José, Costa Rica. 31Al-Quds University, East Jerusalem, State of Palestine. 32National Center of Public Health, Astana, Kazakhstan. 33Qatar University, Doha, Qatar. 34Ministry of Health and Social Protection, Dushanbe, Tajikistan. 35Birzeit University, Birzeit, State of Palestine. 36Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria. 37Instituto Mexicano del Seguro Social, Mexico City, Mexico. 38Qassim University, Unaizah, Saudi Arabia. 39RehaKlinika, Rzeszów, Poland. 40Flinders University, Adelaide, South Australia, Australia. 41University of Ghana, Accra, Ghana. 42University of Copenhagen, Copenhagen, Denmark. 43Copenhagen University Hospital, Copenhagen, Denmark. 44University of Oxford, Oxford, UK. 45Food and Nutrition Research Institute, Taguig, The Philippines. 46Urmia University of Medical Sciences, Urmia, Iran. 47Ibn Tofail University, Kénitra, Morocco. 48Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico. 49University of Amsterdam, Amsterdam, The Netherlands. 50Modeling in Health Research Center, Shahrekord, Iran. 51Shahid Sadoughi University of Medical Sciences, Yazd, Iran. 52The Aga Khan University, Karachi, Pakistan. 53University of Oslo, Oslo, Norway. 54Leibniz Institute for Prevention Research and Epidemiology–BIPS, Bremen, Germany. 55Republican Center for Health Promotion, Bishkek, Kyrgyzstan. 56National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan. 57Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. 58Kuwait Institute for Scientific Research, Kuwait City, Kuwait. 59King Abdulaziz University, Jeddah, Saudi Arabia. 60The Hashemite University, Zarqa, Jordan. 61Ministry of Health, Kuwait City, Kuwait. 62Dasman Diabetes Institute, Kuwait City, Kuwait. 63Aldara Hospital and Medical Center, Riyadh, Saudi Arabia. 64King Abdullah International Medical Research Center, Riyadh, Saudi Arabia. 65Universidade Federal da Integração Latino-Americana, Foz do Iguaçu, Brazil. 66Luxembourg Institute of Health, Strassen, Luxembourg. 67Barcelona Institute for Global Health CIBERESP, Barcelona, Spain. 68World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt. 69Bombay Hospital and Medical Research Centre, Mumbai, India. 70Departamento de Salud del Gobierno Vasco, San Sebastián, Spain. 71Ghana Health Service, Kintampo, Ghana. 72UMR CNRS-MNHN 7206, Paris, France. 73University of Lille, Lille, France. 74Lille University Hospital, Lille, France. 75Western Norway University of Applied Sciences, Sogndal, Norway. 76Norwegian School of Sport Sciences, Oslo, Norway. 77University of Thessaly, Trikala, Greece. 78Madras Diabetes Research Foundation, Chennai, India. 79Zahedan University of Medical Sciences, Zahedan, Iran. 80Yekaterinburg State Medical Academy, Yekaterinburg, Russia. 81National Institute of Public Health, Tunis, Tunisia. 82Institute of Public Health of the University of Porto, Porto, Portugal. 83Norwegian Institute of Public Health, Oslo, Norway. 84University of Massachusetts Amherst, Amherst, MA, USA. 85Public Health Promotion and Development Organization, Kathmandu, Nepal. 86Haramaya University, Dire Dawa, Ethiopia. 87University of Iceland, Reykjavik, Iceland. 88University of Yaoundé 1, Yaoundé, Cameroon. 89Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan. 90Federal University of Pelotas, Pelotas, Brazil. 91University of Medicine 1, Yangon, Myanmar. 92Oulu University Hospital, Oulu, Finland. 93University of Oulu, Oulu, Finland. 94Regional Authority of Public Health, Banska Bystrica, Slovakia. 95Tel Aviv University, Tel Aviv, Israel. 96Hebrew University of Jerusalem, Jerusalem, Israel. 97University of Porto Medical School, Porto, Portugal. 98Neyshabur University of Medical Sciences, Neyshabur, Iran. 99Research Institute for Endocrine Sciences, Tehran, Iran. 100Indian Council of Medical Research, New Delhi, India. 101National Institute of Public Health, Copenhagen, Denmark. 102National Institute of Pharmacy and Nutrition, Budapest, Hungary. 103National Medical Research Centre for Therapy and Preventive Medicine, Moscow, Russia. 104University of Science and Technology, Sana’a, Yemen. 105Medical University of Lodz, Lodz, Poland. 106Universidad Autónoma de Madrid CIBERESP, Madrid, Spain. 107University of Rzeszów, Rzeszów, Poland. 108University of Palermo, Palermo, Italy. 109Federal Institute of Education, Science and Technology of Ceara, Ceara, Brazil. 110University of Miami, Miami, FL, USA. 111University Hospital Center Zagr