Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity3-6. 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.
Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity3-6. 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.
Being underweight or overweight can lead to adverse health outcomes. BMI—a measure of underweight and overweight—is rising in most countries[2]. It is commonly stated that urbanization is one of the most important drivers of the worldwide rise in BMI because diet and lifestyle in cities lead to adiposity[3-6]. However, such statements are typically based on cross-sectional comparisons in one or a small number of countries. Only a few studies have analysed how BMI is changing over time in rural and urban areas. The majority have been in one country, over short durations, and/or in one sex and narrow age groups. The few studies that covered more than one country[7-12] used at most a few dozen data sources and hence could not systematically estimate trends, and focused primarily on women of child-bearing age.Data on how BMI in rural and urban populations is changing are needed to plan interventions that address underweight and overweight. Here, we report on mean BMI in rural and urban areas of 200 countries and territories from 1985 to 2017. We used 2,009 population-based studies of human anthropometry conducted in 190 countries (Extended Data Fig. 1), with measurements of height and weight in more than 112 million adults aged 18 years and older. We excluded data based on self-reported height and weight because they are subject to bias. For each sex, we used a Bayesian hierarchical model to estimate mean BMI by year, country and rural or urban place of residence. As described in the Methods, the estimated trends in population mean BMI represent a combination of (1) the change in the health of individuals due to change in their economic status and environment, and (2) the change in the composition of individuals that make up the population (and their economic status and environment).
Extended Data Fig. 1
Number of data sources by country.
The colour indicates the number of population-based data sources used in the analysis for each country. Countries and territories not included in the analysis are coloured in grey.
From 1985 to 2017, the proportion of the world’s population who lived in urban areas[1] increased from 41% to 55%. Over the same period, global age-standardized mean BMI increased from 22.6 kg m−2 (95% credible interval 22.4–22.9) to 24.7 kg m−2 (24.5–24.9) in women, and from 22.2 kg m−2 (22.0–22.4) to 24.4 kg m−2 (24.2–24.5) in men. The increase in mean BMI was 2.09 kg m−2 (1.73–2.44) and 2.10 kg m−2 (1.79–2.41) among rural women and men, respectively, compared to 1.35 kg m−2 (1.05–1.65) and 1.59 kg m−2 (1.33–1.84) in urban women and men. Nationally, change in mean BMI ranged from small decreases among women in 12 countries in Europe and Asia Pacific, to a rise of >5 kg m−2 among women in Egypt and Honduras. The lowest observed sex-specific mean BMI over these 33 years was that of rural women in Bangladesh of 17.7 kg m−2 (16.3–19.2) and rural men in Ethiopia of 18.4 kg m−2 (17.0–19.9), both in 1985; the highest were 35.4 kg m−2 (33.7–37.1) for urban women and 34.6 kg m−2 (33.1–35.9) for rural men in American Samoa in 2017 (Extended Data Figs. 2, 3), representing a twofold difference.
Extended Data Fig. 2
Age-standardized national, rural and urban mean BMI in women aged 18 years and older in 1985 and 2017 by country.
The numerical values are provided in Supplementary Table 3 and can be downloaded from http://www.ncdrisc.org.
Extended Data Fig. 3
Age-standardized national, rural and urban mean BMI in men aged 18 years and older in 1985 and 2017 by country.
The numerical values are provided in Supplementary Table 3 and can be downloaded from http://www.ncdrisc.org.
In 1985, urban men and women in every country in east, south and southeast Asia, Oceania, Latin America and the Caribbean and a region that comprises central Asia, the Middle East and north Africa had a higher mean BMI than their rural peers (Figs. 1, 2). The urban–rural gap was as large as 3.25 kg m−2 (2.57–3.96) in women and 3.05 kg m−2 (2.44–3.68) in men in India. Over time, the BMI gap between rural and urban women shrank in all of these regions by at least 40%, as BMI rose faster in rural areas than in cities (Fig. 3). In 14 countries in these regions, including Armenia, Chile, Jamaica, Jordan, Malaysia, Taiwan and Turkey, the ordering of rural and urban female BMI reversed over time and rural women had higher BMI than their urban peers in 2017 (Fig. 1 and Extended Data Fig. 4).
Fig. 1
The difference between rural and urban age-standardized mean BMI in women.
a, Difference in age-standardized mean BMI in 1985. b, Difference in age-standardized mean BMI in 2017. We did not estimate the difference between rural and urban areas for countries and territories in which the entire population live in areas classified as urban (Singapore, Hong Kong, Bermuda and Nauru) or rural (Tokelau)—shown in grey. See Extended Data Fig. 2 for mean BMI at the national level and in rural and urban populations in 1985 and 2017. See Extended Data Fig. 6 for comparisons of the results between women and men.
Fig. 2
The difference between rural and urban age-standardized mean BMI in men.
a, Difference in age-standardized mean BMI in 1985. b, Difference in age-standardized mean BMI in 2017. We did not estimate the difference between rural and urban areas for countries and territories in which the entire population live in areas classified as urban (Singapore, Hong Kong, Bermuda and Nauru) or rural (Tokelau)—shown in grey. See Extended Data Fig. 3 for mean BMI at the national level and in rural and urban populations in 1985 and 2017. See Extended Data Fig. 6 for comparison of results between women and men.
Fig. 3
Trends in age-standardized mean BMI by rural and urban place of residence.
a, Trends are shown for women in each region. b, Trends are shown for men in each region. The lines show the posterior mean estimates and the shaded areas show the 95% credible intervals.
Extended Data Fig. 4
The difference between rural and urban age-standardized mean BMI in 1985 compared to 2017.
Each point shows one country and colours indicate region. A positive number indicates a higher urban mean BMI and a negative number indicates a higher rural mean BMI. Different sections labelled A–F indicate the following categories of countries. A, countries with an urban excess BMI that increased from 1985 to 2017. B, countries with an urban excess BMI that decreased from 1985 to 2017. C, countries with an urban excess BMI in 1985 that changed to a rural excess BMI in 2017. D, countries with a rural excess BMI that increased from 1985 to 2017. E, countries with a rural excess BMI that decreased from 1985 to 2017. F, countries with a rural excess BMI in 1985 that changed to an urban excess BMI in 2017.
The difference between rural and urban age-standardized mean BMI in women.
a, Difference in age-standardized mean BMI in 1985. b, Difference in age-standardized mean BMI in 2017. We did not estimate the difference between rural and urban areas for countries and territories in which the entire population live in areas classified as urban (Singapore, Hong Kong, Bermuda and Nauru) or rural (Tokelau)—shown in grey. See Extended Data Fig. 2 for mean BMI at the national level and in rural and urban populations in 1985 and 2017. See Extended Data Fig. 6 for comparisons of the results between women and men.
Extended Data Fig. 6
Comparison of the difference between rural and urban age-standardized mean BMI in women and men aged 18 years and older in 1985 and 2017.
Each point shows one country and colours indicate region.
The difference between rural and urban age-standardized mean BMI in men.
a, Difference in age-standardized mean BMI in 1985. b, Difference in age-standardized mean BMI in 2017. We did not estimate the difference between rural and urban areas for countries and territories in which the entire population live in areas classified as urban (Singapore, Hong Kong, Bermuda and Nauru) or rural (Tokelau)—shown in grey. See Extended Data Fig. 3 for mean BMI at the national level and in rural and urban populations in 1985 and 2017. See Extended Data Fig. 6 for comparison of results between women and men.
Trends in age-standardized mean BMI by rural and urban place of residence.
a, Trends are shown for women in each region. b, Trends are shown for men in each region. The lines show the posterior mean estimates and the shaded areas show the 95% credible intervals.The mean BMI of rural men also increased more than the mean BMI of urban men in south Asia and Oceania, shrinking the urban–rural BMI gap by more than half (Figs. 2, 3). In east and southeast Asia, Latin America and the Caribbean, and central Asia, the Middle East and north Africa, men in both rural and urban areas experienced a similar BMI increase and, therefore, the urban excess BMI did not change substantially over time.In contrast to emerging economies, excess BMI among urban women became larger in sub-Saharan Africa (Fig. 3): from 2.59 kg m−2 (2.21–2.98) in 1985 to 3.17 kg m−2 (2.93–3.42) in 2017 (posterior probability of the observed increase being a true increase >0.999). This occurred because female BMI rose faster in cities than in rural areas in sub-Saharan Africa. This led to women in sub-Saharan African countries, especially those in west Africa, having the largest urban excess BMI of any country in 2017—for example, more than 3.35 kg m−2 in Niger, Burkina Faso, Togo and Ghana (Fig. 1 and Extended Data Fig. 4). BMI increased at a similar rate in rural and urban men in sub-Saharan Africa, with the difference in 2017 (1.66 kg m−2; 1.37–1.94) being similar to 1985 (1.60 kg m−2; 1.13–2.07) (Fig. 2 and Extended Data Fig. 4).BMI was previously lower in rural areas of low- and middle-income countries than in cities, both because rural residents had higher energy expenditure in their daily work—especially agriculture—and domestic activities, such as fuelwood and water collection[13,14], and because lower incomes in rural areas restricted food consumption[15]. In middle-income countries, agriculture is increasingly mechanized, cars are used for rural transport as income increases and road infrastructure improves, service and administrative jobs have become more common in rural areas, and some household tasks are no longer needed—for example, because homes have a water connection and use commercial fuels[16]. Furthermore, higher incomes as a result of economic growth allow more spending on food and hence higher caloric intake, disproportionately more in rural areas, where a substantial share of income was previously spent on food. Additionally, the consumption of processed carbohydrates may have increased disproportionately in rural areas where such foods have become more readily available through national and transnational companies[9,17-21]. These changes, referred to as ‘urbanization of rural life’ by some researchers[6], have contributed to a larger increase in rural BMI[22,23].In contrast to other regions, urbanization in sub-Saharan Africa preceded significant economic growth[24]. Subsistence farming remains common in Africa, and agriculture remains mostly manual; fuelwood—usually collected by women—is still the dominant fuel in rural Africa; and the use of cars for transportation is limited by poor infrastructure and poverty. In African cities, many people have service and office jobs, and mobility has become less energy-intensive owing to shorter travel distances and the use of cars and buses. Furthermore, urban markets where fresh produce is sold are increasingly replaced by commercially prepared and processed foods from transnational and local industries and street vendors[25-27]. These effects are exacerbated by limited time and space for cooking healthy meals and possibly perceptions of large weight as a sign of affluence[28,29].In contrast to low- and middle-income regions, urban women in high-income western and Asia Pacific regions, and in central and eastern Europe, had slightly lower mean BMI than their rural peers in 2017 (Fig. 3). The rural excess BMI for women in these regions changed little from 1985 to 2017. Nationally, the excess BMI of rural women was largest in central and eastern European countries (for example, around 1 kg m−2 or more in Belarus, Latvia and Czech Republic; Fig. 1 and Extended Data Fig. 4). Rural men in high-income western countries also had an excess BMI compared to urban men throughout the analysis period. The largest rural excess BMI for men in 2017 was seen in Sweden, Czech Republic, Ireland, Australia, Austria and the United States, which all had an excess BMI of 0.35 kg m−2 or larger. In the high-income Asia Pacific region and in central and eastern Europe, rural and urban men had almost identical BMI throughout these three decades (Fig. 2 and Extended Data Fig. 4).The lower urban BMI in high-income and industrialized countries reflects a growing rural economic and social disadvantage, including lower education and income, lower availability and higher price of healthy and fresh foods[30,31], less access to, and use of, public transport and walking than in cities[32,33], and limited availability of facilities for sports and recreational activity[34], which account for a significant share of overall physical activity in high-income and industrialized countries.We also estimated how much of the overall rise in mean BMI since 1985 has been due to increases in BMI of rural and urban populations versus those attributable to urbanization (defined as an increase in the proportion of the population who live in urban areas), in each region and in the world as a whole. At the global level, 60% (56–64) of the rise in mean BMI from 1985 to 2017 in women and 57% (53–60) in men was due to increases in the BMI of rural populations; 28% (24–31) in women and 30% (27–32) in men due to the rise in BMI in urban populations; and 13% (11–15) and 14% (12–16) due to urbanization (Table 1). The contribution of the rise in rural BMI ranged from around 60% to 90% in the mostly rural regions of sub-Saharan Africa, east, south and southeast Asia and Oceania. The contribution of urbanization was small in all regions of the world, with maximum values of 19% (15–25) among women and 14% (10–21) among men in sub-Saharan Africa.
Table 1
Contributors to the rise in mean BMI from 1985 to 2017
Rural component
Urban component
Urbanization component
Absolute contribution (kg m−2)
Percentage contribution (%)
Absolute contribution (kg m−2)
Percentage contribution (%)
Absolute contribution (kg m−2)
Percentage contribution (%)
Emerging economies
Central Asia, Middle East and north Africa
Men
1.30 (0.96–1.64)
48 (41–54)
1.33 (1.02–1.65)
49 (44–54)
0.09 (0.06–0.12)
3 (2–5)
Women
1.96 (1.57–2.33)
59 (54–64)
1.31 (0.95–1.69)
39 (34–44)
0.06 (0.03–0.09)
2 (1–3)
East and southeast Asia
Men
1.99 (1.62–2.37)
67 (63–71)
0.66 (0.53–0.80)
22 (20–24)
0.33 (0.26–0.39)
11 (9–14)
Women
1.81 (1.36–2.26)
73 (67–80)
0.47 (0.32–0.64)
19 (16–22)
0.18 (0.10–0.26)
7 (4–11)
Latin America and the Caribbean
Men
0.86 (0.63–1.09)
31 (26–37)
1.73 (1.31–2.16)
63 (58–67)
0.17 (0.13–0.20)
6 (5–8)
Women
1.29 (1.07–1.51)
38 (34–43)
2.01 (1.56–2.49)
60 (55–63)
0.06 (0.03–0.10)
2 (1–3)
Oceania
Men
2.24 (1.12–3.37)
90 (80–102)
0.24 (−0.03–0.51)
10 (−2–20)
0.00 (0.00–0.00)
0 (0–0)
Women
2.41 (0.89–3.98)
81 (69–90)
0.53 (0.18–0.89)
19 (10–31)
0.00 (0.00–0.00)
0 (0–0)
South Asia
Men
1.99 (1.42–2.54)
86 (79–94)
0.20 (0.00–0.40)
8 (0–15)
0.12 (0.09–0.15)
5 (3–8)
Women
2.18 (1.46–2.87)
80 (73–87)
0.36 (0.13–0.60)
13 (6–19)
0.19 (0.16–0.23)
7 (5–11)
Sub-Saharan Africa
Sub-Saharan Africa
Men
1.14 (0.64–1.63)
64 (53–73)
0.39 (0.22–0.55)
22 (15–28)
0.23 (0.19–0.27)
14 (10–21)
Women
1.37 (0.90–1.83)
57 (49–63)
0.58 (0.42–0.74)
24 (21–28)
0.45 (0.42–0.49)
19 (15–25)
High-income and other industrialized regions
Central and eastern Europe
Men
0.59 (0.35–0.82)
35 (26–44)
1.10 (0.70–1.50)
65 (57–73)
0.00 (−0.01–0.01)
0 (−1–1)
Women
0.14 (−0.19–0.45)
NR
0.13 (−0.45–0.69)
NR
−0.02 (−0.03–0.00)
NR
High-income Asia Pacific
Men
0.48 (0.37–0.59)
31 (25–37)
1.15 (0.84–1.46)
72 (68–75)
−0.04 (−0.08–0.00)
−2 (−6–0)
Women
0.12 (−0.01–0.27)
NR
−0.02 (−0.38–0.36)
NR
−0.10 (−0.15 to −0.06)
NR
High-income western countries
Men
0.58 (0.47–0.69)
24 (22–27)
1.80 (1.53–2.07)
76 (74–78)
−0.01 (−0.02–0.00)
0 (−1–0)
Women
0.39 (0.24–0.54)
21 (15–26)
1.44 (1.09–1.79)
79 (74–84)
0.00 (−0.02–0.01)
0 (−1–1)
World
World
Men
1.24 (1.06–1.43)
57 (53–60)
0.65 (0.54–0.75)
30 (27–32)
0.30 (0.28–0.32)
14 (12–16)
Women
1.22 (1.01–1.43)
60 (56–64)
0.56 (0.44–0.69)
28 (24–31)
0.25 (0.23–0.27)
13 (11–15)
Contributions of the rise in mean BMI in rural and urban populations and of urbanization to the rise in mean BMI from 1985 to 2017, by region. Urbanization is defined as an increase in the proportion of the population who live in urban areas. Percentage contributions were calculated as described in the Methods. The reported values are the means and 95% credible intervals. The three percentages sum to 100%. When one component causes an increase in BMI in a region and another does the opposite, the components can be negative or greater than 100%. Urban and rural mean BMI and the percentage of the population who live in urban areas in 1985 and 2017 for each region are provided in Extended Data Table 1. NR, percentage contribution was not reported, because the regional change in mean BMI (which appears in the denominator of the percentage contribution) was small (<0.5 kg m−2), leading to unstable estimates.
Contributors to the rise in mean BMI from 1985 to 2017Contributions of the rise in mean BMI in rural and urban populations and of urbanization to the rise in mean BMI from 1985 to 2017, by region. Urbanization is defined as an increase in the proportion of the population who live in urban areas. Percentage contributions were calculated as described in the Methods. The reported values are the means and 95% credible intervals. The three percentages sum to 100%. When one component causes an increase in BMI in a region and another does the opposite, the components can be negative or greater than 100%. Urban and rural mean BMI and the percentage of the population who live in urban areas in 1985 and 2017 for each region are provided in Extended Data Table 1. NR, percentage contribution was not reported, because the regional change in mean BMI (which appears in the denominator of the percentage contribution) was small (<0.5 kg m−2), leading to unstable estimates.
Extended Data Table 1
Mean BMI and percentage of the population by urban and rural place of residence
Mean BMI and percentage of the population by urban and rural place of residence
For each region, the table shows age-standardized mean BMI for urban and rural populations and the percentage of the population living in urban areas in 1985 and 2017.
See Supplementary Table 2 for a list of countries in each region. Numbers in parentheses show 95% credible intervals.
Our results show that, contrary to the prevailing view[3-6], BMI is rising at the same rate or faster in rural areas compared to cities, particularly in low- and middle-income countries except among women in sub-Saharan Africa. These trends have resulted in a rural–urban convergence in BMI in most low- and middle-income countries, especially for women. This convergence mirrors the experience of high-income and industrialized countries, where we found a persistently higher BMI in rural areas. The rising rural BMI is the largest contributor to the BMI rise in low- and middle-income regions and in the world as a whole over the last 33 years, which challenges the current paradigm of urban living and urbanization as the key driver of the global epidemic of obesity.In poor societies, urban areas historically had lower levels of undernutrition[35,36], possibly because infrastructure such as roads and electricity facilitate food trade, transport and storage in cities, which can in turn reduce the impacts of agricultural shocks and seasonality. As economic growth and rural nutrition programmes reduce rural caloric deficiency, the rural undernutrition disadvantage may be replaced with a more general and complex malnutrition that entails excessive consumption of low-quality calories. To avoid such an unhealthy transition, the fragmented national and international responses to undernutrition and obesity should be integrated, and the narrow focus of international aid on undernutrition should be broadened, to enhance access to healthier foods in poor rural and urban communities.
Extended Data Table 2
Results of model validation
Results of model validation
Q1, first quartile; Q3, third quartile; p, p value.
†Estimated values minus held-out values.
*p values for model error comparisons were calculated using the non-parametric Wilcoxon signed-rank test for paired data. The p values are calculated assuming independence of the held-out observations. They should therefore be interpreted as an approximation because there is some dependence among the held-out observations, within each of the five repetitions for example.
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