| Literature DB >> 27389629 |
Simon Barquera1, Andrea Pedroza-Tobias, Catalina Medina.
Abstract
PURPOSE OF REVIEW: There are today 11 mega-countries with more than 100 million inhabitants. Together these countries represent more than 60% of the world's population. All are facing noncommunicable chronic disease (NCD) epidemic where high cholesterol, obesity, diabetes, and cardiovascular diseases are becoming the main public health concerns. Most of these countries are facing the double burden of malnutrition where undernutrition and obesity coexist, increasing the complexity for policy design and implementation. The purpose of this study is to describe diverse sociodemographic characteristics of these countries and the challenges for prevention and control in the context of the nutrition transition. RECENTEntities:
Mesh:
Year: 2016 PMID: 27389629 PMCID: PMC4947537 DOI: 10.1097/MOL.0000000000000320
Source DB: PubMed Journal: Curr Opin Lipidol ISSN: 0957-9672 Impact factor: 4.776
Socioeconomic characteristics of mega-countries
| Low middle HDI | High very high HDI | |||||||||||||
| Indicator | Ethiopia | Nigeria | Pakistan | Bangladesh | India | Philippines | Vietnam | Indonesia | China | Brazil | Mexico | Russia | Japan | USA |
| Human Development Index, 2014 | 0.44 | 0.51 | 0.54 | 0.57 | 0.61 | 0.67 | 0.67 | 0.68 | 0.73 | 0.76 | 0.76 | 0.80 | 0.89 | 0.91 |
| Category Human Development Index | Low | Low | Low | Medium | Medium | Medium | Medium | Medium | High | High | High | High | Very high | Very High |
| Population (million), 2014 | 96.9 | 177.5 | 185.0 | 159.1 | 1,295.3 | 99.1 | 90.9 | 254.5 | 1,364.3 | 206.1 | 125.4 | 143.8 | 127.1 | 318.9 |
| GDPc (2014) (constant USD 2005) | 315.8 | 1,098.0 | 813.7 | 747.4 | 1,233.9 | 1,662.1 | 1,077.9 | 1,853.8 | 3,862.9 | 5,880.6 | 8,521.9 | 6,843.9 | 37,595.2 | 46,405.2 |
| Gini Index (2010) | 33.2 | 43.0 | 29.6 | 32.0 | 35.6 | 42.9 | 42.7 | 33.9 | 42.1 | 53.9 | 48.1 | 40.9 | 32.1 | 40.5 |
| Inequality-adjusted Human Development Index, 2014 | 0.31 | 0.32 | 0.38 | 0.40 | 0.43 | 0.55 | 0.54 | 0.56 | – | 0.56 | 0.59 | 0.71 | 0.78 | 0.76 |
| Annual population growth (%), 2014 | 2.51 | 2.66 | 2.10 | 1.21 | 1.23 | 1.59 | 1.07 | 1.26 | 0.51 | 0.89 | 1.32 | 0.22 | −0.16 | 0.74 |
| Life expectancy at birth 2013 (years) | 63.4 | 52.4 | 66.0 | 71.3 | 67.7 | 68.1 | 75.8 | 68.7 | 75.4 | 74.1 | 76.5 | 71.1 | 83.3 | 78.8 |
| Urban population (%), 2014 | 19.0 | 46.9 | 38.3 | 33.5 | 32.4 | 44.5 | 33.0 | 53.0 | 54.4 | 85.4 | 79.0 | 73.9 | 93.0 | 81.5 |
| Physician (per 1000 people), 2010 | 0.02 | 0.40 | 0.83 | 0.30 | 0.65 | – | 1.22 | 0.29 | 1.80 | 1.76 | 1.96 | 4.31 | 2.30 | 2.42 |
| Adult literacy rate population 15+ years, 2007–2011 | 39.0 | 51.1 | 55.4 | 59.7 | 69.3 | 95.4 | 93.5 | 92.8 | 95.1 | 90.4 | 93.1 | 99.7 | – | – |
| Health expenditure per capita (current USD$), 2014 | 26.6 | 117.5 | 36.2 | 30.8 | 75.0 | 135.2 | 142.4 | 99.4 | 419.7 | 947.4 | 677.2 | 892.9 | 3,703.0 | 9,402.5 |
| Health expenditure (% GDP), 2014 | 4.9 | 3.7 | 2.6 | 2.8 | 4.7 | 4.7 | 7.1 | 2.8 | 5.5 | 8.3 | 6.3 | 7.1 | 10.2 | 17.1 |
| Pupil/teacher ratio (2010-2013) | 53.7 | 37.6 (2010) | 42.5 | 40.2 (2011) | 32.3 | 31.4 | 18.9 | 16.1 | 16.9 | 21.2 | 28.0 | 19.6 | 16.7 | 14.5 |
GDPc, gross domestic product per capita.
Data obtained by World Bank (2016).
aBrazil, India, Nigeria, and Philippines: Gini index 2009; Japan: Gini Index 2008.
bNigeria: pupil/teacher ratio 2010; Bangladesh: pupil/teacher ratio 2010.
FIGURE 1Double burden of malnutrition in mega-countries: coexistence of stuntinga and overweight/obesityb. aStunting prevalence: height-for-age z scores less than 2 SD, obtained by the Global Health Observatory of the WHO, 2010-2011, except for India (2005–2006) and Brazil (2006–2007). bOverweight and Obesity prevalence: BMI at least 25 hg/m2, obtained by the Global Health Observatory of the WHO, 2010. cRussia prevalence of stunting is not national representative of the under 5-year population.
FIGURE 2Prevalence of cardiometabolic risk factors in mega countries by HDI category. HDI, human development index. Data obtained by the Global Health Observatory of the WHO.
Major risk factors for the development of noncommunicable diseases in mega-countries
| Heavy drinking past 30 days | Insufficiently active adults | Use of tobacco products in population at least 15 years | Estimated sodium intake (g/day) | Estimated SSB (servings/day) (30–40 years old) % (95%CI) [ | |||
| Year | 2010 | 2010 | 2015 | 2010 [ | 2010 | ||
| Low/middle HDI | Women | Men | Women | Men | |||
| Ethiopia | 0.6 (0.0–1.2) | 18.9 (4.9–50.1) | 0.5 (0.2–0.8) | 8.9 (6.0–12.1) | 2.27 (1.95–2.67) | 0.26 (0.14–0.43) | 0.28 (0.15–0.47) |
| Nigeria | 7.0 (0.1–8.9) | 22.3 (8.5–66.3) | 1.1 (0.4–2.0) | 17.4 (8.0–28.9) | 2.82 (2.51–3.17) | 0.37 (0.20–0.61) | 0.41 (0.23–0.66) |
| Pakistan | 0.1 (0.0–0.3) | 26 (7.2–62) | 3.0 (1.8–4.2) | 41.9 (29.7–57.3) | 3.91 (3.32–4.66) | 0.66 (0.35–1.44) | 0.73 (0.40–1.20) |
| Bangladesh | 0.0 (0.0–0.2) | 26.8 (25.9–27.8) | 0.7 (0.4–1.0) | 39.8 (30.6–50.1) | 3.54 (2.98–4.21) | 0.19 (0.10–0.39) | 0.21 (0.11–0.37) |
| India | 1.6 (0.7–2.6) | 13.4 (12.2–14.8) | 1.9 (1.4–2.5) | 20.4 (14.5–27.3) | 3.72 (3.63–3.82) | 0.42 (0.22–0.72) | 0.47 (0.26–0.77) |
| Philippines | 1.6 (0.7–2.6) | 15.8 (3.6–44.2) | 8.5 (6.6–10.8) | 43.0 (34.6–53.5) | 4.29 (3.65–5.10) | 0.56 (0.31–0.94) | 0.62 (0.34–1.05) |
| Vietnam | 1.3 (0.4–2.1) | 23.9 (16.6–32.9) | 1.3 (0.9–1.6) | 47.1 (35.7–58.5) | 4.59 (3.81–5.46) | 0.32 (0.18–0.54) | 0.35 (0.20–0.57) |
| Indonesia | 2.4 (1.2–3.6) | 23.7 (19–29.1) | 3.6 (2.6–4.5) | 76.2 (59.5–95.5) | 3.36 (3.02–3.76) | 0.35 (0.19–0.57) | 0.37 (0.21–0.64) |
| High/very high HDI | |||||||
| China | 7.5 (5.5–9.5) | 24.1 (21.7–26.5) | 1.8 (1.3–2.2) | 47.6 (36.7–58.6) | 4.83 (4.62–5.05) | 0.07 (0.06–0.08) | 0.08 (0.06–0.09) |
| Brazil | 12.2 (9.7–14.6) | 27.8 (8–3.9) | 11.3 (8.2–14.6) | 19.3 (14.6–24.4) | 4.11 (4.01–4.22) | 0.60 (0.53–0.68) | 0.66 (0.58–0.75) |
| Mexico | 10.9 (8.6–13.3) | 26 (20.5–32.1) | 6.6 (5.2–8.2) | 20.8 (16.4–25.3) | 2.76 (2.57–2.94) | 1.87 (1.36–1.48) | 2.03 (1.46–2.72) |
| Russian Federation | 19.3 (16.3–22.3) | 9.5 (6.8–12.8) | 22.8 (17.6–29.3) | 59.0 (46.6–72.5) | 4.17 (3.95–4.40) | 0.56 (0.32–0.90) | 0.62 (0.34–1.01) |
| Japan | 18.4 (15.4–21.3) | 33.8 (11.1–71.6) | 10.6 (8.0–13.4) | 33.7 (25.9–41.6) | 4.89 (4.71–5.08) | 0.38 (0.32–0.44) | 0.45 (0.38–0.51) |
| USA | 16.2 (13.4–19.0) | 32.4 (29.8–35) | 15.0 (12.1–18.1) | 19.5 (15.7–23.6) | 3.60 (3.50–3.70) | 1.43 (1.25–1.62) | 1.65 (1.44–1.88) |
aWHO Global Health Observatory (2016).
bAge-standardized estimates.
FIGURE 3Annual percentage of change of cardiovascular disease, ischemic heart disease, ischemic stroke and diabetes mortality per 100 000 inhabitants (1990–2013) by human development index (2014). Data obtained by Institute for Health Metrics and Evaluation. GBD Compare. Seattle, WA: IHME, University of Washington, 2016. r, correlation coefficient.
Current policy efforts to curve the non-communicable diseases epidemic among mega-countries
| Country | Tobacco | Alcohol | Salt (SI/SR) | SSBs | Breastfeeding | National plan to promote physical activity |
| Low/middle HDI | ||||||
| Bangladesh | T: 76%, AVE: 61%, VAT: 15% | LMA: No, VAT: 15%, ET: N/A | Yes/Yes | – | EB: 97.8%, EBF < 6m: 42.9%, BFP: yes | Yes |
| Ethiopia | T: 18.77%, AVE: 13.9%, VAT: 4.87% | LMA: 18y, VAT: 15%, ET: b50%, w50%, s100% | Yes/– | – | EB: 96%, EBF < 6m: 49%, BFP: yes | N/A |
| Nigeria | T: 20.63%, AVE: 15.87%, VAT: 4.76% | LMA: 18y, VAT: 5%, ET: b2%, w2%, s2% | Yes/– | – | EB: 97.3%, EBF < 6m: 13.1%, BFP: yes | No |
| Pakistan | T: 60.70%, SE: 46.17%, VAT: 14.53% | LMA: 21y, VAT: No, ET: N/A | Yes/– | – | EB: 94.3%, EBF < 6m: 37.1%, BFP: – | N/A |
| India | T: 60.39%, SE: 42.45%, AVE: 1.27%, VAT: 16.67% | LMA: subnational, VAT: No, ET: N/A | Yes/– | Considering tax MUFB | EB: 95.7%, EBF < 6m: 46.4%, BFP: yes | Yes |
| Indonesia | T: 53.40%, SE: 40.91%, AVE: 4.09%, VAT: 8.40% | LMA: 21y, VAT: 10%, ET: N/A | Yes/Yes | Considering tax | EB: 95.2%, EBF < 6m: 32.4%, BFP: – | Yes |
| Philippines | T: 74.27%, SE: 63.55% VAT: 10.71% | LMA: 18y, VAT: 12%, ET: N/A | Yes/Yes | Considering tax | EB: 87.7%, EBF < 6m: 34%, BFP: yes | N/A |
| Vietnam | T: 41.59%, AVE: 32.50% VAT: 9.09% | LMA: 18y, VAT: 10%, ET: b45%, w45%, s45% | Yes/Yes | – | EB: 97.7%, EBF < 6m: 16.9%, BFP: yes | Yes |
| High/very high HDI | ||||||
| Brazil | T: 64.94%, SE: 20.87%, AVE: 8.10%, VAT: 25%, OT: 10.97% | LMA: 18y, VAT: N/A, ET: b6%, w6%, s5% | –/Yes | Considering tax MUFB | EB: 96.4%, EBF < 6m: 39.8%, BFP: yes | Yes |
| China | T: 44.43%, SE: 0.60%, AVE: 29.30%, VAT: 14.53% | LMA: No, VAT: 17%, ET: bN/A, w1%, s2% | Yes/Yes | MUFB | EB: –, EBF < 6m: –, BFP: yes | Yes |
| Mexico | T: 65.87%, SE: 15.56%, AVE: 36.52%, VAT: 13.79% | LMA: 18y, VAT: 16%, ET: b25%, w25%, s50% | Yes/Yes | Approved tax MUFB | EB: 92.3%, EBF < 6m: 20.3%, BFP: yes | Yes |
| Russian Federation | T: 47.63%, SE: 23.88%, AVE: 8.50%, VAT: 15.25% | LMA: 18y, VAT: 18%, ET: N/A | Yes/– | – | EB: –, EBF < 6m: –, BFP: yes | No |
| Japan | T: 64.36%, SE: 56.95%, VAT: 7.41% | LMA: 20y, VAT: 5%, ET: b5%, w5%, s5% | –/Yes | – | EB: –, EBF < 6m: 21% BFP: yes | Yes |
| United States | T: 42.54%, SE: 37.38% VAT: 5.16% | LMA: 21y, VAT: No, ET: b$3.75, w$0.72%, l$0.2 | Yes/Yes | Approved tax in 1 city. Considering tax in other states MUFB | EB: 73.9%, EBF < 6m: 13.6%, BFP: yes | Yes |
HDI, human development index; N/A, not available; NCD, noncommunicable diseases.
aTobacco: (taxes on the most sold brand of cigarettes (% of retail price)), (T – total, ADE – Ad valorem excise, SE – Specific excise, VAT – value added tax, OT – Other taxes).
bAlcohol (LMA – legal minimum age, ET – excise tax as a percent of the retail price of alcoholic beverages. B – beer, w – wine, s – spirits, l – liquor) *$ per gallon.
cSalt (SI – salt iodization, SR – salt reduction).
dMUFB – Marketing of unhealthy foods and beverages to children.
eBreastfeeding (EB – ever breastfed, EBF < 6m – exclusive < 6 months breastfeeding, BFP – breastfeeding promotion).
FIGURE 4Percentage of deaths attributable to cardiovascular disease and diabetes in mega-countries (2013). Data obtained by Institute for Health Metrics and Evaluation (IHME). GBD Compare. Seattle, WA: IHME, University of Washington, 2016.
Stages of the nutrition transition and challenges for mega-countries to address the burden of non-communicable chronic diseasesa
| Country group | Characteristics | What could be expected in the next decades? | What priorities must be addressed to diminish the burden of NCDs? |
| Low-Middle HDI | Mostly rural/labor-intensive work low sedentarism | Increasing urbanization trend. Decrease in physical activity associated with shifts to lower labor-intensive occupations and active transportation. | Raise priority of NCDs in development of national policies |
| Pattern 3 of the nutrition transition (receding famine) Bangladesh, Ethiopia, Nigeria, Pakistan, India, Indonesia, Philippines, Vietnam | Epidemiologic panorama dominated by under nutrition, but even low prevalence of NCDs represent a significant burden | Decreasing prevalence of stunting. Increasing prevalence of NCDs associated to national growth, trade and shifts in the food systems with low priority and resources from the governments and health sector to respond. | Improve/develop surveillance and monitoring systems for NCDs |
| Increasing prevalence trends of NCDs (obesity, high blood cholesterol, blood pressure and blood sugar) | Higher prevalence of CVD at lower BMI levels than in higher HDI megacountries | Implement policies to promote adequate urban planning focused on active communities, active transportation and public transportation | |
| Elevated population growth | Tobacco consumption becoming major public health problem in particular among males | Disincentives for use of cars. Promotion of physical activity to compensate for increasingly sedentary jobs | |
| Starchy, high fiber, hydration mostly with water | Increasing consumption of processed foods, sugar-sweetened beverages and fast food | Reinforcement/Implementation of taxes and strict regulation to disincentive tobacco consumption | |
| Increasing consumption of tobacco | Alcohol consumption not expected to increase in most of these countries due to Muslim religion practices | Promotion and incentives to reinforce/maintain adequate breast-feeding practices | |
| Policies and incentives to maintain and value traditional foods and diets as the key to adequate nutrition. Guidelines for healthy hydration and disincentives to the development of SSBs industry. | |||
| Introducing/improving nutrition education with emphasis on the unhealthy effects of high added sugar, salt and saturated/trans fats intake | |||
| High HDI | Mostly urban/physical activity very low | Increasing urbanization, often without proper urban planning. Decrease in physical activity (due mostly to shifts in labor) and active transportation | Raise priority of NCDs in design of national policies with a multisectoral approach. Develop monitoring systems to evaluate progress in NCDs prevention and control at global, regional and national levels |
| Pattern 4 of the nutrition transition (rise of noncommunicable diseases) Brazil, China, Mexico, Russia | Epidemiologic panorama dominated by NCDs (obesity, high blood cholesterol, blood pressure and blood sugar) | Decreasing prevalence of stunting. NCDs recognized as the main public health problem, however lack of comprehensive policies to tackle the epidemic | Promote a strong focus on urban planning considering active transportation, walkability and active living. Disincentives such as taxes and regulation for the use of cars and incentives for use of public transportation |
| High tobacco, SSBs, fast foods and processed foods consumption. Poor potable water availability | Tobacco consumption remains a major public health problem with increases in consumption by vulnerable groups (young adults, women, low-income, ethnic minorities) | Continuing/improving efforts to reduce tobacco, SSBs and alcohol consumption: taxation, marketing and labeling regulations. Avoid subsidies on unhealthy ingredients/avoid policies that increase availability of sugar, high fructose and other caloric sweeteners, salt and saturated fats | |
| Poor public transportation, inadequate/insufficient public parks | Increasing consumption of processed foods, sugar-sweetened beverages, fast food | Improve health care response to the rapid rise in NCDs: review and update health care curricula and training, massive education campaigns, early detection, and effective treatment and control | |
| Lack of adequate regulations to protect children from unhealthy food and beverage marketing | Imported low-cost solutions to control CVD risk factors such as statins, antihypertensive drugs and aspirin will become more available | Develop creative solutions to address de NCDs burden such as: national soda taxation programs, strong healthy lifestyles programs, labeling and marketing regulations, polypill interventions in populations with poor access to health care, etc. Import effective initiatives and technology | |
| Transnational food companies lobbing against health policy attempts to modify food environment | Trends on implementation of creative national policies to improve food environment (soda tax, ultra processed food marketing and labeling regulation, physical activity promotion) | Develop international trade agreements that include healthy lifestyle considerations | |
| Very High HDI | Mostly urban/physical activity very low however increasing, particularly on higher socioeconomic segments | Urban planning improving, with emphasis on walkability, active living, sustainability and environment. | Strengthen national policies and plans for the prevention and control of NCDs |
| Pattern 5 of the Nutrition Transition (desired societal/ behavioral change) Japan, USA | Epidemiologic panorama dominated by obesity and NCDs, however, reductions in smoking, SSBs and other risk factors | Stabilization/ saturation equilibrium/ slow reduction of obesity and NCDs | Promote research for the prevention and control of NCDs at global and national levels |
| Relatively good public transportation, public parks, and potable water availability. Trends toward the practice of active transportation | Vulnerable groups such as low socio economic sectors, women, adolescents and minorities with higher exposure to unhealthy lifestyles: tobacco consumption, ultra processed foods, SSBs, fast foods, inactive transportation, poor access to incentives for physical activity | Continued improvement of environments to promote healthy lifestyles with emphasis on vulnerable groups (such as low-income population, disadvantaged ethnic groups, women and adolescents), to reduce inequalities in health | |
| Increasing trend to local, traditional unprocessed foods and healthy hydration | Effective solutions to control some CVD risk factors such as statins, antihypertensive drugs and aspirin widely available at low cost to the vast majority of population | Import effective national policies implemented in High HDI countries such as soda tax, ultra processed front-of-pack labeling, cycling paths, nation wide physical fitness programs, etc. | |
| Decreasing trend in consumption of processed foods, sugar-sweetened beverages and fast food franchises in particular on higher socioeconomic segments of the population | Control of emerging risk factors must be emphasized (high cholesterol and glucose in Japan; high tobacco consumption and sugar-sweetened beverages consumption in USA). | ||
| Unhealthy products migrating to emerging, less regulated markets in other countries | Priority to low-income population and other disadvantaged minorities and vulnerable groups | ||
| Promote social responsibility and fair trade of companies attempting to sell unhealthy products overseas |
CVD, cardiovascular disease; HDI, human development index; NCD, noncommunicable chronic disease; SSB, sugar-sweetened beverage.
aPatterns of the nutrition transition according to Popkin (2015).