Citation: Ebrahim S, Pearce N, Smeeth L, Casas JP, Jaffar S, et al. (2013) Tackling Non-Communicable Diseases In Low- and Middle-Income Countries: Is the Evidence from High-Income Countries All We Need? PLoS Med 10(1): e1001377. doi:10.1371/journal.pmed.1001377
Published: January 29, 2013
Copyright: © 2013 Ebrahim et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: No specific funding was received for writing this article.
Competing interests: The authors work in applied NCD health research and could benefit from any increased attention and research financing directed towards NCDs.
Abbreviations: HIC, high-income country; LMIC, low- and middle-income country; NCD, non-communicable disease; UN, United Nations; WHO, World Health Organization
Provenance: Not commissioned; externally peer reviewed.
- Applied health research and development for non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) is limited, and despite repeat calls for action, the NCD burden is increasing unchecked.
- NCD research in high-income countries (HICs) and LMICs can result in mutual advantages in the areas of replication and extending findings; discovering new causes of NCDs; studying health effects of exposures rare or ubiquitous in HICs; and exploring links between infectious diseases and NCDs.
- Different NCDs are at varying stages of needing research, policy development, and action. These stages range from not knowing the population burden of many NCDs to knowing all we need to take action.
- Changes in the global and national funding agendas will be required to strengthen the research and health system capacity for NCDs, which should reduce deaths and disability attributable to NCDs and yield economic dividends.
Non-communicable diseases (NCDs, e.g., cardiovascular disease, diabetes, cancers, chronic respiratory diseases, neurological diseases) have been the commonest cause of death and disability globally for at least the last three decades . Even in sub-Saharan Africa, NCDs contribute a third of the disability-adjusted life year burden. However, research resources allocated to NCDs in low- and middle-income countries (LMICs) are trivial .
We analyse the interplay between applied health research in NCDs in high-income (HICs) and LMICs and demonstrate that there are opportunities for mutual advantages. We argue that different NCDs are at varying stages in a cycle of research, policy development, and action. The research and actions that are needed depend on the stages of this cycle.
The Interplay between Research in HICs and LMICs
There is abundant information on the prevention and control of major NCDs from HICs, but little attention has been given to how research in LMICs can benefit HICs. Box 1 illustrates some of the forces arising in HICs, which are now having global impacts on NCDs. Research methods developed in HICs to study these forces are equally applicable to LMICs. In this section we explore this interplay.
Box 1. Globalisation and NCDs
- Aggressive marketing
- Advertising, product placement
- Political lobbying
- Agricultural production
- Food availability and pricing
- Trade agreements, corporate production, global distribution
- Reduced taxes on unhealthy food imports
- Food preferences and ways of consuming
- Pre-prepared and outside of home
- Multimedia and marketing of western lifestyles and diets
- Carbonated chilled sweetened drinks
- Physical activity
- Promotion of car industry
- Urban design
- Communications (e.g., mHealth; eHealth)
- Health care providers
- Social movements
- Knowledge diffusion
- Consumer influence
- Patient interest groups
- Occupational exposures
- Transfer of hazardous industries
- Effects of occupational exposures in vulnerable populations
There are global benefits from repeating studies of “established” risk factors in LMICs. The first indication that there is no “safe” level of blood cholesterol came from research in China showing increased rates of coronary heart disease (CHD) even at low levels of blood cholesterol . This finding spurred trials of statins among people with average cholesterol levels, leading to their widespread use regardless of blood cholesterol level for high risk individuals in HICs and LMICs .
Replicating health promotion trials for CHD in LMICs is sensible as rates are rising, health literacy is low, and there are strong views about these interventions ,. A recent large trial of health promotion in rural India demonstrated no effects on risk factor profiles or health knowledge . These findings are disappointing, but may avoid wasteful investment in this particular approach in both HICs and LMICs.
The causes of many NCDs are unknown and therefore ways to prevent them remain elusive. Combined studies in LMICs and HICs may be more powerful, as there is often greater variation in exposure levels and marked differences in underlying confounders of risk factor–NCD associations. For example, breastfeeding appears to lead to lower blood pressure and body mass index in children in HICs, but no associations are found in LMICs, making it unlikely that the association in HICs is causal .
The upstream determinants of known causes of NCDs may differ between LMICs and HICs. High blood pressure, dyslipidaemia, and smoking are important proximal causes of cardiovascular disease globally, but their upstream causes reflect potentially modifiable social, fiscal, and legal environments that influence our behaviours and vary between HICs and LMICs . Upstream determinants include economic , educational , occupational , agricultural , and trade  policies, all of which are adversely affecting risk factors globally.
Some exposures—for example, pesticides—do not occur widely or at high levels in HICs, making identification of potential health hazards difficult. Exposures that are orders of magnitudes higher occur in LMICs and enable harms to be identified, encouraging control of pesticides globally.
Forces that are near-ubiquitous in HICs (see Box 1) make it impossible to detect adverse effects through studies conducted in HICs ,. For example, asthma prevalence increases as countries become more economically productive and cleaner. The hygiene hypothesis suggests that lower childhood infection rates may “programme” the immune system, leading to asthma and allergy. The “hygiene hypothesis” cannot be tested only in HICs and requires global studies .
Strong associations have been reported between HIV/AIDS and cardiometabolic disorders –, smoking and tuberculosis ,, and diabetes and tuberculosis . Cancers with an infectious aetiology are more common in LMICs and include gastric cancer (Helicobacter pylori), hepatocellular cancer (hepatatis B and C), and cervical cancer (human papilloma virus) –. Furthermore, the high burden of infectious diseases and associated chronic inflammation may exacerbate risks for some NCDs. The underlying mechanisms of these associations, new therapeutic targets, and opportunities to integrate communicable and NCDs in health sector reforms may be found by doing studies in LMICs .
Identifying the underlying forces that influence government and private sector decision-making on agriculture, trade, and the built environment requires research. Understanding how the tobacco industry, for example, operates in HICs helped shape the World Health Organization (WHO) Framework Convention on Tobacco Control , and led to effective counter-measures that are now being applied in LMICs. Similar research is needed in these other areas, particularly the food sector ,. Reliance on fiscal and legal interventions based on simple models examining the direct effects on consumption and other behaviours are becoming insufficient as there is growing understanding of the macroeconomic “ripple” effects of interventions across economic sectors and between countries .
New approaches to treatment of NCDs in LMICs are needed. The HIV/AIDS movement arising in HICs showed the importance of working with all stakeholders. The largest constituency affected by NCDs—elderly people—has been ignored in NCD discourses and alliances . Elderly people constitute a major pressure group for achieving better, integrated, holistic services that respond to all their health needs.
Primary health care, supported by family and self-care, will form the backbone of cost-effective ways of treating and caring for NCDs and will require research to develop optimal care models . Research on task shifting to non-medically qualified practitioners, low-cost near patient diagnostics, and self and family management are needed , and are also of relevance to HICs . In addition, there is a great need to evaluate prevention interventions in different contexts in LMICs, given the current paucity of evidence. The results should be useful for informing prevention programmes with ethnic minorities in HICs.
The Political Need for Research
The inexorable rise of NCDs in LMICs has been left unchecked for two decades with major economic consequences and avoidable loss of lives. The current situation is unduly influenced by economic and commercial interests that negate the importance of NCDs . Global and local research, particularly if it can be conducted in parallel in HICs and LMICs, can provide powerful arguments for the need to act globally, as envisaged in the 2011 United Nations high-level meeting on NCD prevention and control .
Situations: Research and Action
Research agendas for LMICs have been published recently – proposing what needs to be done. We are concerned that “action” only may seem to be preferable to “research” in LMICs to deal with the rising NCD burden. Research and action are not opposite extremes of a continuum but responses that arise depending on specific situations, which are summarized in Box 2.
Box 2. Situations: Research and Action Examples
Situation 1: We don't even know the population burden of many NCDs
We lack data on the burden of disease even for common conditions such as asthma and epilepsy. Adding NCD modules to existing health and demographic surveillance systems that provide burden of disease estimates for maternal and child health is underway and will provide additional sources of robust data .
Situation 2: We know the population burden but we don't know the causes
Understanding the “upstream” causes of NCDs can make use of natural experiments such as the introduction of urban mass transport systems on physical activity ; social and economic change on risk factors ; and rural development strategies (e.g., new roads, employment schemes) on obesity and diabetes. The Prospective Urban Rural Epidemiology  study runs in 600 communities in 17 countries to examine the impact of urbanisation on health.
Situation 3: We know the causes but we need more research into methods of prevention
Occupational exposures make a substantial contribution to NCD in industrialised countries, but their relevance in LMICs has not been assessed . This is of particular concern given that many hazardous industries are situated in LMICs .
For example, in India's asbestos industry, health risks are discounted: “That lung cancer deaths have been caused by asbestos fibre has not been proved in India,” argues John Nicodemus, executive director of the Asbestos Cement Products Manufacturers' Association, a New Delhi–based industry organization .
Situation 4: We need research to improve patient treatment and care
Management of NCDs through mHealth technology, task shifting from doctors to other health workers, and self-management all require robust evaluation. They may also be highly relevant to cost-constrained health services in HICs.
Situation 5: “We know what is needed—but not how to implement it”
Salt restriction lowers blood pressure but is difficult for individuals to do as much dietary salt is hidden in processed foods. In the UK, bread manufacturers have voluntarily reduced the salt content of bread slowly, which should result in reductions in population levels of blood pressure .
First, the population burden of many NCDs is not even known. Recent global burden of disease studies have produced modeled estimates derived from existing, but patchy, data of common risk factors trends to fill the information gap –. Existing surveillance and monitoring systems require expanding to include the major NCDs and risk factors to improve estimates of burden and monitor trends in LMICs, as has been done for asthma .
Second, while the population burden of some diseases is known, the causes aren't. Rapid socioeconomic growth in many LMICs, alongside the severe economic crisis affecting HICs, and growing migration and urbanisation are generating “natural experiments” that will allow investigation of the upstream determinants of common risk factors for NCDs. For example, a recent study examining the association of unemployment in an economic recession and the increasing number of suicides implicated a lack of social protection systems in the United States (compared with other European countries) as a causal factor .
Third, when causes are known there still needs to be more research into methods of prevention. Tobacco control topped the UN high-level meeting's priority list for action . The total global population covered by comprehensive smoke-free laws increased from 3.1% in 2007 to 5.4% in 2008, providing protection for an additional 154 million persons . While this is a big relative improvement in a short period of time, it is clear that current strategies are failing the remaining 95% of the global population, and tobacco use is still increasing globally.
Fourth, research is needed to improve patient treatment and care. In parallel with prevention, improved patient management is essential . Health services research, well developed in HICs, is needed to identify cost-effective treatments, and implementation research is then required to get research findings into practice and improve quality of health care . The potential for improving NCD health care through health services research is huge: for example, eHealth; non-invasive imaging to aid diagnosis; and integrated patient health records. Many of these developments, pioneered in LMICs and evaluated collaboratively using robust methods, will likely yield global benefits through reverse innovation .
Finally, a situation where what is needed is known, but not how to implement it. There are some NCDs for which it can be argued that sufficient knowledge is available to act now. For example, five priority interventions—tobacco control, salt reduction, improved diets and physical activity, reduction of hazardous alcohol intake, and access to essential drugs and technologies—were recently defined as requiring “leadership, prevention, treatment, international cooperation, monitoring and accountability” . Experiences from both HICs and LMICs will be relevant in finding the best ways forward.
Economics of NCDs and Funding Research For NCDs
The economic consequences of NCDs are large and have been well documented. Estimates of the lost output attributable to NCDs amount to trillions of dollars a year ; the costs of simple effective interventions are measured in millions of dollars . Research investments are now required urgently to fill the implementation gap between what works and achieving health gain in practice. The UN high-level meeting on NCDs formally acknowledged that resources devoted to combating NCDs are not commensurate with the magnitude of the problem ; the meeting noted that domestic, bilateral, regional, and multilateral channels of funding will be required.
Most health research funding is spent in HICs, but the greatest need, both in scientific and public health terms, is in the rest of the world . Previous calls to action on NCDs over the last decade have had some impact on funding , which may generate further enthusiasm for funding research in LMICs.
While most LMICs do have a budget for NCD-related work , there is no room to innovate and evaluate strategies for NCDs. Much of the research and development relevant to implementation is country-specific and requires national funding. The WHO has recommended that the extra resources needed could come from increasing efficiency of revenue collection; improving access to social health insurance; increased tobacco and alcohol taxes; and including NCDs as a priority for official development assistance . A further need is to develop capacity to conduct applied NCD health research. This is limited in most LMICs. Training and partnerships with experienced NCD researchers and institutions should be a high priority for development programmes.
The time has now come for all health-related research and development funders—global, regional, and national— to acknowledge the existence of NCDs and rise to the challenges they present. For example, the United Kingdom's Department for International Development has identified the importance of NCDs in contributing to poverty and has initiated a mental health programme in several LMICs. Hopefully other programmes will follow . A first step would be for global and bilateral agencies, major national health research councils, and charities to publish their spending by disease categories to track their contribution in meeting the World Health Assembly's recent NCD targets of a 25% reduction in NCD mortality by 2025 .
There are unique opportunities for answering critical research questions about NCDs in LMICs (see Box 3). The list reflects our experiences and disciplinary perspectives from public health, epidemiology, primary care, and health policy. Where to begin will depend on the scientific capacity to deliver, national priorities, and the funds available. The important point is to make a start somewhere. The 2011 UN high-level meeting provided a strong context for research and action. A major shift in attitudes from knowing what needs to be done towards using research to prioritise, evaluate, monitor and, incrementally, improve health outcomes is urgently needed. Action and research are required: they are intimately entwined and the balance between them will depend on the situation and the health problem.
Box 3. A Proposed Research Agenda for NCDs in Low- and Middle-Income Countries
- Measuring the burden of NCDs, mental health, and injuries
- Improving synthetic methods
- Integrating and improving quality of health information systems
- Causal inference:
- “Upstream” causes of common NCD risk factor distributions
- Occupational exposures and NCDs
- Genetic variation
- Mendelian randomisation approaches to identifying environmental determinants of NCDs
- Pharmacogenetics for stratified medicine to minimise risks and maximise benefits of treatments
- Influence of urbanisation on lifestyles
- Health impacts of urban and rural development programmes
- Prevention and control of NCDs
- Cost-effectiveness studies of preventive interventions targeted at individuals
- Cost-effectiveness studies of fiscal and legal means of health protection
- Developing and promoting healthier models of food production, marketing, and consumption
- Health systems research
- Strengthening of primary care services
- Health care financing for universal primary care coverage
- Task-shifting, family and self-care, and eHealth for NCD prevention and care
- Policy research
- Evaluation of health impacts of public policies on food security, trade, agriculture, and rural/urban development
- Implementation research
- Use of health technology assessment and audit to improve quality of health care
- Examination of facilitators and barriers to establishing cross-sectoral working for health
Wrote the first draft of the manuscript: SE NP. Contributed to the writing of the manuscript: SE NP LS JPC SJ PP. ICMJE criteria for authorship read and met: SE NP LS JPC SJ PP. Agree with manuscript results and conclusions: SE NP LS JPC SJ PP.
- 1. Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, et al. (2012) Global burden of diseases and injuries for 291 causes and 21 regions. 1990–2012: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380(9859): 2197–2223. doi: 10.1016/S0140-6736(12)61689-4
- 2. Beaglehole R, Ebrahim S, Reddy S, et al. (2007) Prevention of chronic diseases: a call to action. Lancet 307: 2152–2157. doi: 10.1016/S0140-6736(07)61700-0
- 3. Chen Z, Peto R, Collins R, et al. (1991) Serum cholesterol concentration and coronary heart disease in population with low cholesterol concentrations. BMJ 303: 276–282. doi: 10.1136/bmj.303.6797.276
- 4. Cholesterol Treatment Trialists' (CTT) Collaboration (2010) Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170 000 participants in 26 randomised trials. Lancet 376: 1670–1681. doi: 10.1016/S0140-6736(10)61350-5
- 5. Ebrahim S, Smith GD (2001) Exporting failure? Coronary heart disease and stroke in developing countries. Int J Epidemiol 30: 201–205. doi: 10.1093/ije/30.2.201
- 6. Gaziano TA, Galea G, Reddy KS (2007) Scaling up interventions for chronic disease prevention: the evidence. Lancet 370: 1939–1944. doi: 10.1016/S0140-6736(07)61697-3
- 7. Joshi R, Chow CK, Raju PK, Raju KR, Gottumukkala AK, et al. (2012) The Rural Andhra Pradesh Cardiovascular Prevention Study (RAPCAPS): a cluster randomized trial. J Am Coll Cardiol 59: 1188–1196. doi: 10.1016/j.jacc.2011.10.901
- 8. Brion MJ, Lawlor DA, Matijasevich A, Horta B, Anselmi L, et al. (2011) What are the causal effects of breastfeeding on IQ, obesity and blood pressure? Evidence from comparing high-income with middle-income cohorts. Int J Epidemiol 40: 670–680. doi: 10.1093/ije/dyr020
- 9. Stuckler D, Siegel K, De Vogli R, Basu S (2011) The societal determinants of chronic dieases. In Stuckler D, Siegel K, eds. Sick societies. Responding to the global challenge of chronic disease. Oxford: OUP. pp. 26–62.
- 10. Deaton A (2003) Health, inequality, and economic development. J Economic Literature 41: 113–158. doi: 10.1257/002205103321544710
- 11. Marmot M (2005) Social determinants of health inequalities. Lancet 365: 1099–1104. doi: 10.1016/S0140-6736(05)71146-6
- 12. Benach J, Muntaner C, Santana V (2007) Employment conditions and health inequalities. Final Report to the WHO Commission on Social Determinants of Health (CSDH), WHO. Available: http://www.who.int/social_determinants/resources/articles/emconet_who_report.pdf. Accessed 10 October 2012.
- 13. Lock K, Smith R, Dangour A, et al. (2010) Health, agricultural and economic effects of adopting healthy diet recommendations. Lancet 376: 1699–1709. doi: 10.1016/S0140-6736(10)61352-9
- 14. Smith RD, Lee K, Drager N (2009) Trade and health: an agenda for action. Lancet 373: 768–773. doi: 10.1016/S0140-6736(08)61780-8
- 15. Pearce N (2011) Epidemiology in a changing world: variation, causation and ubiquitous risk factors. Int J Epidemiol 40: 503–512. doi: 10.1093/ije/dyq257
- 16. Rose G (1985) Sick individuals and sick populations. Int J Epidemiol 14: 32–38. doi: 10.1093/ije/14.1.32
- 17. Douwes J, Pearce N (2002) Asthma and the Westernization “package”. Int J Epidemiol 31: 1098–1102. doi: 10.1093/ije/31.6.1098
- 18. Young F, Critchley JA, Johnstone LK, Unwin NC (2009) A review of co-morbidity between infectious and chronic disease in Sub Saharan Africa: TB and diabetes mellitus, HIV and metabolic syndrome, and the impact of globalization. Global Health 5: 9. doi: 10.1186/1744-8603-5-9
- 19. Currier JS, Lundgren JD, Carr A, Klein D, Sabin CA, et al. (2008) Epidemiological evidence for cardiovascular disease in HIV-infected patients and relationship to highly active antiretroviral therapy. Circulation 118: e29–e35. doi: 10.1161/CIRCULATIONAHA.107.189624
- 20. Capeau J, Bouteloup V, Katlama C, Bastard JP, Guiyedi V, et al. (2012) Ten-year diabetes incidence in 1046 HIV-infected patients started on a combination antiretroviral treatment. AIDS 26: 303–314. doi: 10.1097/QAD.0b013e32834e8776
- 21. Bates MN, Khalakdina A, Pai M, Chang L, Lessa F, et al. (2007) Risk of tuberculosis from exposure to tobacco smoke: a systematic review and meta-analysis. Arch Intern Med 167: 335–342. doi: 10.1001/archinte.167.4.335
- 22. Wen CP, Chan TC, Chan HT, Tsai MK, Cheng TY, et al. (2010) The reduction of tuberculosis risks by smoking cessation. BMC Infect Dis 10: 156. doi: 10.1186/1471-2334-10-156
- 23. Jeon CY, Murray MB (2008) Diabetes mellitus increases the risk of active tuberculosis: a systematic review of 13 observational studies. PLoS Med 5: e152 doi:10.1371/journal.pmed.0050152.
- 24. Thun MJ, DeLancey JO, Center MM, Jemal A, Ward EM (2010) The global burden of cancer: priorities for prevention. Carcinogenesis 31: 100–110. doi: 10.1093/carcin/bgp263
- 25. Perz JF, Armstrong GL, Farrington LA, Hutin YJF, Bell BP (2006) The contributions of hepatitis B virus and hepatitis C virus infections to cirrhosis and primary liver cancer worldwide. J Hepatology 45: 529–538. doi: 10.1016/j.jhep.2006.05.013
- 26. Bosch FX, Manos MM, Muñoz N, Sherman M, Jansen AM, et al. (1995) Prevalence of human papillomavirus in cervical cancer: a worldwide perspective. J Natl Cancer Inst 87: 796–802. doi: 10.1093/jnci/87.11.796
- 27. Remais JV, Zeng G, Li G, Tain L, Engelgau M (2012) Convergence of non-communicable and infectious diseases in low and middle-income countries. Int J Epidemiol Epub ahead of print 13 October 2012. doi:10.1093/ije/dys135.
- 28. World Health Organization (2003) WHO Framework Convention on Tobacco Control. Geneva: WHO. Available: http://whqlibdoc.who.int/publications/2003/9241591013.pdf. Accessed 10 October 2012.
- 29. Brownell KD, Warner KE (2009) The perils of ignoring history: Big Tobacco played dirty and millions died. How similar is Big Food? Milbank Q 87: 259–294. doi: 10.1111/j.1468-0009.2009.00555.x
- 30. Stuckler D, Nestle M (2012) Big food, food systems, and global health. PLoS Med 9: e1001242 doi:10.1371/journal.pmed.1001242.
- 31. Smith R (2012) Why a macroeconomic perspective is critical to the prevention of noncommunicable disease. Science 337: 1501–1503. doi: 10.1126/science.1222569
- 32. Graham C (2011) Non communicable diseases: ageing and dementias now included in UN meeting. Help Age International and other agencies joint statement to the UN high level meeting. Ageing, Alzheimer's disease/dementias and caregiving in NCD Summit 2011 outcomes. Available: http://www.helpage.org/newsroom/latest-news/un-meeting-on-ncds-ageing-and-dementias-now-included/. Accessed 10 October 2012.
- 33. Beaglehole R, Epping-Jordan J, Patel V, Chopra M, Ebrahim S, et al. (2008) Improving the prevention and management of chronic disease in low-income and middle-income countries: a priority for primary health care. Lancet 372: 940–994. doi: 10.1016/S0140-6736(08)61404-X
- 34. De Maeseneer J, Roberts RG, Demarzo M, Heatlh I, Sewankambo N, et al. (2011) Tackling NCDs: a different approach is needed. Lancet 379(9829): 1860–1861 doi:10.1016/S0140-6736(11)61135-5.
- 35. Crisp N (2010) Turning the world upside down - the search for global health in the 21st century. CRC Press. Hodder Education doi: 10.3109/13561820.2011.590050
- 36. Stuckler D, Basu S, McKee M (2011) UN high level meeting on non-communicable diseases: an opportunity for whom? BMJ 343: d5336. doi: 10.1136/bmj.d5336
- 37. WHO (2011) United Nations high-level meeting on noncommunicable disease prevention and control. Political declaration of the high-level meeting of the General Assembly on the prevention and control of non-communicable diseases. Available: http://www.who.int/nmh/events/un_ncd_summit2011/en/. Accessed 10 October 2012.
- 38. Daar AS, Singer PA, Persad DL, Pramming SK, Matthews DR, et al. (2007) Grand challenges in chronic non-communicable diseases. Nature 450: 494–496. doi: 10.1038/450494a
- 39. Collins P, Patel V, Joestel S, March D, Insell T, et al. (2011) Grand challenges in global mental health. Nature 475: 27–30. doi: 10.1038/475027a
- 40. WHO (2010) A prioritized research agenda for the prevention and control of noncommunicable diseases. Geneva: World Health Organization.
- 41. Smith SC Jr, Collins A, Ferrari R, Holmes DR Jr, Logstrup S Cand Jur, et al. (2012) Our time: a call to save preventable death from cardiovascular disease (heart disease and stroke). Circulation 126(23): 2769–2775 doi:10.1161/CUIR.0b013e318267e99f.
- 42. Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, et al. (2011) National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet 377: 557–567. doi: 10.1016/S0140-6736(10)62037-5
- 43. Danaei G, Finucane MM, Lin JK, Singh GM, Paciorek CJ, et al. (2011) National, regional, and global trends in systolic blood pressure since 1980: systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5.4 million participants. Lancet 377: 568–577. doi: 10.1016/S0140-6736(10)62036-3
- 44. Farzadfar F, Finucane MM, Danaei G, Pelizzari PM, MJ Cowan, et al. (2011) National, regional, and global trends in serum total cholesterol since 1980: systematic analysis of health examination surveys and epidemiological studies with 321 country-years and 3.0 million participants. Lancet 377: 578–586. doi: 10.1016/S0140-6736(10)62038-7
- 45. Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, et al. (2011) National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants. Lancet 378: 31–40. doi: 10.1016/S0140-6736(11)60679-X
- 46. Waltraud Eder W, Ege MJ, von Mutius E (2006) The asthma epidemic. N Engl J Med 355: 2226–2235. doi: 10.1056/NEJMra054308
- 47. Reeves A, Stuckler D, McKee M, Gunnell D, Chang S-S, et al. (2012) Increase in state suicide rates in the USA during economic recession. Lancet 380: 1813–1814. doi: 10.1016/S0140-6736(12)61910-2
- 48. CDC (2009) Cigarette smoking among adults and trends in smoking cessation - United States. MMWR Morb Mortal Wkly Rep 58(44): 1227–1232 Available: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5844a2.htm. Accessed 10 October 2012.
- 49. Beaglehole R, Epping-Jordan J, Patel V, Chopra M, Ebrahim S, et al. (2008) Improving the prevention and management of chronic disease in low-income and middle-income countries: a priority for primary health care. Lancet 372: 940–949. doi: 10.1016/S0140-6736(08)61404-X
- 50. Eccles MP, Armstrong D, Baker R, Cleary K, Davies H, et al. (2009) An implementation research agenda. Implementation Science 4: 18 doi:10.1186/1748-5908-4-18.
- 51. Immelt JR, Govindarajan V, Trimble C (2009) How GE is disrupting itself. Harvard Business Review. October 2009. Available: http://hbr.org/2009/10/how-ge-is-disrupting-itself/ar/1. Accessed 10 October 2012.
- 52. The Lancet NCD Action Group (2011) UN high-level meeting on non-communicable diseases: addressing four questions. Lancet 378(9789): 449–455 doi:10.1016/S0140-6736(11)60879-9.
- 53. Bloom DE, Cafiero ET, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, et al.. (2011) The global economic burden of noncommunicable diseases. Geneva: World Economic Forum.
- 54. R, Ebrahim S, Reddy KS, Voûte J, Leeder S (2007) Prevention of chronic diseases: a call to action. Lancet 370: 2152–2157. doi: 10.1016/S0140-6736(07)61700-0
- 55. Global Health Workforce Alliance. Global Forum for Health Research member profile. Available: http://www.who.int/workforcealliance/members_partners/member_list/gfhr/en/index.html. Accessed 10 October 2012.
- 56. World Health Organization (2011) WHO global status report on non-communicable diseases 2010. Geneva: WHO.
- 57. WHO (2010) The world health report 2010: health system financing. Geneva: World Health Organization.
- 58. UK Department for International Development (2011) Non-communicable diseases. Available: http://www.dfid.gov.uk/What-we-do/Key-Issues/Health/Non-communicable-diseases/. Accessed 10 October 2012.
- 59. WHO (2012) 65th World Health Assembly closes with new global health measures. Available: http://www.who.int/mediacentre/news/releases/2012/wha65_closes_20120526/en/index.html. Accessed 10 October 2012.
- 60. Sankoh O, Byass P (2012) The INDEPTH Network: filling vital gaps in global epidemiology. Int J Epidemiol 41(3): 579–588 doi:10.1093/ije/dys081.
- 61. Montezuma R (2005) Promoting active lifestyles and healthy urban spaces: the cultural and spatial transformation of Bogotá, Colombia. PAHO Scientific Publication 161–180.
- 62. Stuckler D, Basu S, Suhrcke M, Coutts A, McKee M (2009) The public health effect of economic crises and alternative policy responses in Europe: an empirical analysis. Lancet 374: 315–323. doi: 10.1016/S0140-6736(09)61124-7
- 63. Yusuf S, Islam S, Chow CK, Rangarajan S, Dagenais G, et al. (2011) Use of secondary prevention drugs for cardiovascular disease in the community in high-income, middle-income, and low-income countries (the PURE Study): a prospective epidemiological survey. Lancet 378: 1231–1243. doi: 10.1016/S0140-6736(11)61215-4
- 64. Pearce NE, Matos E, Vainio H, Boffetta P, Kogevinas M, eds. (1994) Occupational cancer in developing countries. Lyon: IARC.
- 65. Cullinan P, Pearce N (2012) The asbestos disease epidemic: here today, here tomorrow. Thorax 67: 98–99. doi: 10.1136/thoraxjnl-2011-201180
- 66. Krishnan M, Ray SG (2010) Banned in 52 countries, asbestos is India's next big killer. Tehelka Magazine 7(31) . August 7, 2010. Available: http://www.tehelka.com/story_main46.asp?filename=Cr070810banned.asp. Accessed 10 October 2012.
- 67. Sadler K, Nicholson S, Steer T, Gill V, Bates B, et al.. (2011) National diet and nutrition survey - assessment of dietary sodium in adults (aged 19 to 64 years) in England, 2011. London: Department of Health. Available: https://www.wp.dh.gov.uk/transparency/files/2012/06/Sodium-Survey-England-2011_Text_to-DH_FINAL1.pdf. Accessed 30 November 2011.