Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-25T01:41:43.471Z Has data issue: false hasContentIssue false

Optimising design and cost-effective implementation of future pan-African dietary studies: a review of existing economic integration and nutritional indicators for scenario-based profiling and clustering of countries

Published online by Cambridge University Press:  15 December 2017

Elom K. Aglago*
Affiliation:
International Agency for Research on Cancer (IARC/WHO), Lyon, France
Edwige Landais
Affiliation:
UMR 204 ‘Nutripass’ IRD, University of Montpellier, SupAgro, Montpellier, France
Francis Zotor
Affiliation:
University of Health and Allied Sciences, Ho, Volta Region, Ghana
Genevieve Nicolas
Affiliation:
International Agency for Research on Cancer (IARC/WHO), Lyon, France
Marc J. Gunter
Affiliation:
International Agency for Research on Cancer (IARC/WHO), Lyon, France
Paul Amuna
Affiliation:
Research Section, Primary Health Care Corporation, Doha, Qatar
Nadia Slimani
Affiliation:
International Agency for Research on Cancer (IARC/WHO), Lyon, France
*
*Corresponding author: E. K. Aglago, email AglagoE@fellows.iarc.fr
Rights & Permissions [Opens in a new window]

Abstract

Most of the African countries are undergoing a complex nutrition and epidemiologic transition associated with a rapid increase in the prevalence of diverse non-communicable diseases. Despite this alarming situation, the still limited and fragmented resources available in Africa impede the implementation of effective action plans to tackle the current and projected diet–disease burden. In order to address these common needs and challenges, the African Union is increasingly supporting continental approaches and strategies as reflected in the launching of the Agenda 2063 and the African regional nutrition strategy 2015–2025, among others. To assure the successful implementation of pan-African nutritional and health initiatives, cost-effective approaches considering similarities/disparities in economy, regional integration, development and nutritional aspects between countries are needed. In the absence of pre-existing models, we reviewed regional economic integration and nutritional indicators (n 13) available in international organisations databases or governmental agencies websites, for fifty-two African countries. These indicators were used to map the countries according to common languages (e.g. Arabic, English, French, Portuguese), development status (e.g. human development index), malnutrition status (e.g. obesity) and diet (e.g. staples predominantly based on either cereals or tubers). The review of the indicators showed that there exist similarities between African countries that can be exploited to benefit the continent with cross-national experiences in order to avoid duplication of efforts in the implementation of future pan-African health studies. In addition, including present and future nutrition surveillance programmes in Africa into national statistical systems might be cost-effective and sustainable in the longer term.

Type
Conference on ‘Nutrition dynamics in Africa: opportunities and challenges for meeting the sustainable development goals’
Copyright
Copyright © The Authors 2017 

Most of the African countries are currently undergoing a rapid nutrition transition characterised by a shift from the traditional diets rich in fibres and complex carbohydrates, towards an increased intake of animal proteins, as well as high-energy dense foods rich in hydrogenated and saturated fats, salt and refined sugar( Reference Popkin 1 Reference Vorster, Kruger and Margetts 3 ). Concomitantly to this nutrition transition is an epidemiologic transition characterised by an escalating prevalence of obesity and non-communicable diseases such as CVD, respiratory diseases, diabetes and some types of cancers( Reference Di Cesare, Bentham and Stevens 4 , Reference Popkin 5 ). Paradoxically, micronutrient deficiencies are still drastically prevalent in most African countries( Reference Bailey, West and Black 6 ). The double burden of malnutrition which encompasses the coexistence of nutritional deficiencies together with overweight and obesity is placing greater pressure on the fragile health system of most African countries( Reference Amuna and Zotor 7 ).

Despite this alarming situation, the still limited and fragmented resources allocated to nutrition in African countries hinder the implementation of effective action plans to address the current and forecasted diet–disease burden. Concernedly it has been reported that the investments in nutrition are imbalanced when compared to the increase in the challenges due to the nutrition transition tentacles which are hampering the efficient and continuous allocation of the investments( Reference Haddad, Achadi and Bendech 8 ). While considering the tremendous economic and social burden due to malnutrition in all its forms within Africa, there is a need for established food and nutrition research, monitoring and surveillance systems as powerful tools for policy makers, researchers, risk assessors, health actors and the private sector to understand, monitor and better prevent the current global diet-related diseases, mostly in the vulnerable population groups. Otherwise, there is a need for more concerted and sustained actions at country, regional and continental level in order to ‘end hunger, achieve food security and improved nutrition’ as ambitioned in the sustainable development goals( 9 ). The African Union is advocating for better health and nutrition and the improvement of the quality of the life of African populations in the recently launched Agenda 2063( Reference DeGhetto, Gray and Kiggundu 10 , 11 ) and the African regional nutrition strategy( 12 ).

To assure the successful implementation of these initiatives and other current or future pan-African health and nutritional ones, cost-effective approaches considering similarities/disparities in economy, regional integration, development and nutritional aspects between countries are needed. Moreover, there is a need to inventory at a country level the socio-economic and health indicators susceptible to influence the nutrition situation of the population. These indictors could serve for several purposes including grouping the countries according to similarities, for example, by using cluster analysis. Cluster analysis is extensively used in economic and financial studies to group countries by development status and to identify vulnerable or advanced nations in order to recommend appropriate actions according to the level of development( Reference Tsangarides and Qureshi 13 Reference Vázquez and Sumner 15 ). Cluster analysis has also been used in public health for diverse purposes, for example, for clustering countries for the implementation of water and sanitation projects( Reference Onda, Crocker and Kayser 16 ).

In the present paper, we perform across African countries (n 52), an inventory of existing economic integration (e.g. human development index, languages) and nutritional (e.g. incidence of malnutrition, nutrition networks) indicators susceptible to impact the design and implementation of pan-African nutrition action plans in the food and health domains (e.g. dietary assessment, food safety, programme implementation, water and sanitation). Firstly, the importance of the implementation of nutrition monitoring and surveillance programmes in Africa especially in the context of the nutrition transition is outlined. Secondly, the potential of regional economic integration in addressing common nutritional challenges and the relevance of efficient allocation of resources in the resource-constrained environment often found throughout Africa is reviewed. Thirdly, economic integration and nutritional indicators were inventoried and mapped for visualisation. Fourthly and finally, possible lessons from other regions of the world, particularly the GloboDiet initiative for dietary data collection in Europe is presented.

Importance of nutrition monitoring and surveillance for Africa

Nutrition monitoring and surveillance is a regular or continuous follow-up of the nutritional status of a population in order to take decisions for improving the nutrition and health of that population( Reference Mason and Mitchell 17 ). In low- and middle-income countries and particularly in Africa, the term had been confined to anthropometry in household and community food security routine surveys usually incorporated in broader demographic and health surveys( Reference Friedman 18 ). The anthropometric approach is cost-effective and efficient in addressing nutritional issues in a nutritional landscape dominated by child and maternal malnutrition, hunger and micronutrient deficiencies (particularly within the 1000 d window of opportunity)( Reference Forouzanfar, Alexander and Anderson 19 ). This was particularly conclusive for the assessment of the progresses in the millennium development goals by measuring progress towards the reduction of hunger, stunting and wasting, and consequently morbidity and mortality in women at childbearing age and children aged 5 years or less.

Notwithstanding the common use in low- and middle-income countries, in its broader definition, nutrition monitoring and surveillance encompasses food availability, clinical assessment, food and nutritional biomarkers analysis, body composition and the assessment of dietary intake, in addition to anthropometric measurements and water and sanitation aspects. The current double burden of malnutrition and the nutrition transition require the inclusion of the multiple aspects of the nutrition monitoring and surveillance in order to better prevent the diet-related non-communicable diseases trends across Africa( Reference Ziraba, Fotso and Ochako 20 ). Ethiopia( 21 ), Nigeria( Reference Maziya-Dixon, Akinyele and Oguntona 22 ) and South Africa( Reference Shisana, Rehle and Simbayi 23 ) have already conducted a national food consumption survey in adults within recent years and could serve as examples. Interestingly, the South African nutrition survey was further embedded into a broader national health survey (National Health and Nutrition Examination Survey), which included physical examination, cardiovascular fitness and blood lipids testing.

Potential of regional integration in Africa

Previous studies have reported several obstacles affecting the effectiveness of nutritional interventions in Africa and concluded in a lack and inefficient allocation of financial and human resources, their weak coordination or at a broader extent, inadequate strategising( Reference Morris, Cogill and Uauy 24 , Reference Jamison, Breman, Measham, Alleyne, Claeson, Evans, Jha, Mills and Musgrove 25 ). In addition, while transferring successful experiences from pilot countries or regions to others, several parameters regarding the specificity of the implementation fields should be considered to prevent unsuccessful outcomes( Reference Mason, Sanders, Musgrove, Jamison, Breman and Measham 26 ). Based on an example from the Southern African development community, Thow et al. ( Reference Thow, Sanders and Drury 27 ) emphasised the importance of regional integration in the implementation of policies to target malnutrition and associated non-communicable diseases. A pan-African approach might prevent duplication of work and fragmentation of resources while stimulating between-countries attainment and learning( Reference Schmidt-Traub, Karoubi and Espey 28 ). It is well established that in Africa a substantiated regional integration and bilateral partnerships exists to address the diverse economic, social and health concerns at supranational or regional levels. Actually, multiple cross-border regional institutions/entities/movements are supporting the economic development and health systems implementation and improvement across countries. The West African Health Organisation or the common African Regional Nutrition Strategy 2015–2025 by the African Union are examples among others( 12 ). Similarly, the Scaling Up Nutrition movement under the direct anchorage of an assistant to the UN Secretary-General is continuously advocating for a high leadership commitment from all participating countries( 29 ).

Economic integration and nutritional indicators

Two groups of indicators: ‘economic integration’ and ‘nutritional’ likely to influence the effective implementation of national or supranational dietary surveillance in Africa were reviewed (Table 1). Economic integration indicators include variables that can be used in any research thematic to profile, rank or cluster countries and is composed of regional integration, language, economic and social development and national statistical capacity aspects. Nutritional indicators include country's undernutrition and overnutrition prevalence, existence of scientific societies and networks for nutritionists and dietitians, and dietary or food risk assessment at the country level. The indicators were gathered following four steps: (i) identification of the indicators and their rationale, (ii) definition of the indicators, (iii) collection of the indicators into a database, (v) visualisation of the geographical distribution of the indicators. Potential indicators are available from international organisations databases, governmental agencies websites, scientific publications or through contact with existing nutrition networks for complementary or missing information (e.g. the African nutrition society). The relevant indicators were: UN geographical regions( 30 ), African regional integration membership( 31 ), national languages( 32 ), national economic and social development status( 33 ), statistical capacity indicator( 34 ), national strategy for the development of statistics’ status( 35 , 36 ), prevalence of underweight, overweight and obesity( Reference Di Cesare, Bentham and Stevens 4 ), existence of nutrition or dietetic societies( 37 , 38 ), participation in the Africa's study on physical activity and dietary assessment methods network( Reference Pisa, Landais and Margetts 39 ), national group for WHO food consumption global environment monitoring system( 40 ), status of the implementation of a food safety programme( 41 ) and availability of a precedent national dietary intake survey (structured research from scientific search engines).

Table 1. Indicators to profile African countries

ANS, African nutrition society, AMU, Arab Maghreb union; AS-PADAM, Africa's study on physical activity and dietary assessment methods; AU, African union; BMI, body mass index; CEMAC, economic community of central African States; CIA, United States Central Intelligence Agency; COMESA, common market for eastern and southern Africa; EAC, East African community; ECCAS, economic community of central African states; ECOWAS, economic community of West African states; HDI, human development index; ICDA, international confederation of dietetic associations; IUNS, international union of nutritional sciences; NCD, non-communicable diseases; SACU, southern African customs union; SADC, southern African development community; UNDP, United Nations development programme; UNO, United Nations Organization; WHO, World Health Organization.

Countries according to economic integration and nutritional indicators

According to economic integration indicators

For the fifty-two African countries, the recent available country indicators are summarised in Tables 2 and 3. Supplementary figure shows the indicators processed as maps allowing geographical visualisation. From Table 2, it can be drawn that regional integration is well established in Africa, and all the countries are member of at least one regional integration entity and several countries have dual- or multi-memberships. The most predominant official languages are Arabic, English, French and Portuguese, with the majority of the countries having their own local languages as Lingua franca. For Ethiopia and South Africa, local languages were noticeably represented as official languages. Arabic and Berber, Hausa, Yoruba, Swahili or their variants are the predominant Lingua franca in northern, Sahelian, western and eastern parts of Africa, respectively. The majority of African countries are ranked in low-to-medium human development index groups with the few exceptions of Algeria, Tunisia and Libya ranked as high human development index countries. Morocco, Egypt and South Africa have high statistical capacity indicator (>80), while most West African countries showed a moderate statistical capacity indicator between 65 and 80. Interestingly, a significant number of countries are in process to implement a national strategy for the development of statistics, or are planning to in a near future.

Table 2. African countries development and socio-economic indicators

AMU, Arab Maghreb union; CEMAC, central African and monetary community; COMESA, common market for eastern and southern Africa; EAC, East African community; ECCAS, economic community of central African states; ECOWAS, economic community of West African states; HDI, human development index; l.f, langua franca; IGAD, intergovernmental authority for development; NSDS, national strategy for the development of statistics; PAFTA, pan-Arab free trade area; SADC, southern African development community; SACU, southern African customs union; SCI, statistical capacity indicator; WAEMU, West African economic and monetary union.

* In some cases like South Africa, not all the official languages were inventoried. In other countries such as Côte d'Ivoire, there were too many represented languages without any predominance.

Current status of the NSDS; for expired strategies superscripts indicate status of the future NSDS.

Completed, awaiting adoption.

§ Being designed.

Planned.

Not yet planned.

Table 3. Nutritional and diet-related indicators to profile African countries

N/A, non-available; AS-PADAM, Africa's study on physical activity and dietary assessment methods; GEMS, global environment monitoring system; OB, obesity; OW, overweight; UW, underweight.

* BMI < 18·5.

BMI > 24·99.

Data available only for AFRO countries.

According to nutritional indicators

Table 3 shows that overweight and obesity prevalence is high in all Africa, with South Africa and northern African countries showing the highest rates. Obesity prevalence is higher in women than in men, for all the countries. In contrast to northern Africa, high prevalence of underweight was observed in Central Africa, in the Horn of Africa and in the Sahelian regions. National nutrition societies are widespread throughout Africa, with few societies effective in middle and southern Africa. Contrarily to nutrition societies, dietetic societies are available only in Nigeria and South Africa. The majority of the southern African countries not having a nutrition society have however participated in the Africa's study on physical activity and dietary assessment methods network, while in the other parts of the continent, participating countries are the one having a nutrition society. Few countries have implemented a food safety assessment programme, but the majority are still drafting a national one. According to food consumption patterns of the countries, most African countries are classified in the G13 (diet based on cereal grains and starch, roots and tubers boiled, milks; western and eastern Africa), G03 (diet based on roots and tubers boiled, cereal grains, tropical and subtropical fruits; western and middle Africa) and G01 (diets based on cereal grains and starch, milks, sweeteners; northern Africa) groups. Few groups such as G06 (diet based on cereal grains and starch, fruiting vegetables and mushrooms) and G05 (diet based on cereal grains and starch, milks, tropical and subtropical fruits) are also found across the continent.

Integrative approach in the collection and use of nutritional data

Despite the heterogeneity of African countries, similarities can be exploited for common stepwise implementation of diet-related initiatives. To better understand and address the common challenges in nutrition, there is a need to increase and improve data collection and standardisation in Africa. Nonetheless, to date there is still a lack of nutritional and agricultural data in national statistical systems as deplored by the FAO of the UN( 42 ). In their effort to collect more national statistical data, African countries are harmonising statistical methodologies. Statistical data collection improvement in Africa is led by numerous initiatives amongst which are the African statistical coordination committee, the strategy for the harmonization of statistics in Africa, the reference regional strategic framework for statistical capacity building in Africa, all supervised by the African Union. Embedding nutrition and dietary surveillance programme into the national statistical systems might be cost-effective and sustainable in the longer term. For example, as first step, nutrition and dietary surveys data could be integrated to national health surveys, as in the recent case in South African National Health and Nutrition Examination Survey.

Lessons from other initiatives

Africa could learn from experiences from other regions of the world. For example, at the European level, several countries have already implemented their national surveillance programmes, using the computer-based programme GloboDiet (initially known as EPIC-Soft) developed at the International Agency for Research on Cancer. The methodology, previously used for dietary data collection during the European prospective investigation into cancer and nutrition study( Reference Slimani, Deharveng and Charrondiere 43 ), is based on the 24 h dietary recall method and aims to collect individual food consumption data for monitoring and surveillance. The data collected with the GloboDiet international methodology has shown good validity when correlated with the concentration of biological markers( Reference Al-Delaimy, Slimani and Ferrari 44 Reference Saadatian-Elahi, Slimani and Chajes 47 ). Moreover, GloboDiet is standardised to minimise errors at all levels from data collection to data analysis( Reference Slimani, Ferrari and Ocke 48 ) and quality controls have been developed, validated and incorporated into the methodology( Reference Crispim, Nicolas and Casagrande 49 ). Additional efforts to adapt the methodology in other regions world have been pilot-tested in Brazil and Mexico( Reference Bel-Serrat, Knaze and Nicolas 50 ) and in the Republic of Korea( Reference Park, Park and Nicolas 51 ).

For that purpose, an investigation to evaluate the GloboDiet with regard to the specific cultural, scientific, ethical, sociological context of Africa have been conducted with twenty-nine African experts in dietary assessment and the flexibility of the methodology has been appraised by the panel( Reference Aglago, Landais and Nicolas 52 ). These recent achievements may complement concomitant initiatives such as the INFOODS project led by FAO on food composition tables( Reference Schonfeldt and Hall 53 ), the global individual food consumption data by FAO/WHO to gather and disseminate existing dietary data nationally and sub-nationally in different countries, and recently, the international dietary data expansion project led by Tufts University aiming at improving dietary data collection, particularly in low- and middle-income countries.

Conclusion

The endorsement by the African union of the agenda 2063 with a mid-point evaluation expected in 2030 will address extensive human, social and scientific development challenges, including achieving food and nutrition security for Africa. This agenda will enormously depend on sharing experiences and their positioning together with the other initiatives on the continent to avoid duplication of efforts and cost-effective use of limited resources. African countries should therefore be empowered in collecting comparable and reliable diet-related information for dietary surveillance, food safety, research and prevention by leveraging resources mobilisation in the resource-constrained environment. The competing allocation of limited resources in the development agenda in African countries requires implementing cost-effective projects of shared interests and preventing duplication of efforts and fragmentation of resources. Countries profiling and clustering could also provide science-based evidence in early phase of study design and implementation planning and guide towards better choices, particularly in the context of pan-African initiatives. This could also help selecting pilot countries matching best the pre-selected criteria to increase chances of success when used as proof of principle, before further extension.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0029665117004141

Acknowledgements

This work was undertaken during the tenure of the postdoctoral fellowship of E. K. A., from the International Agency for Research on Cancer, partially supported by the European Commission FP7 Marie Curie Actions – People – Cofounding of Regional, National and International Programmes. This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Financial support

None.

Conflict of interest

None.

Authorship

N. S. designed the concept; E. K. A. inventoried the indicators and drafted the manuscript; E. L., G. N., M. G., P. A. and F. Z. provided expertise on the manuscript, and provided additional corrections. All authors have read and approved the manuscript.

References

1. Popkin, BM (1994) The nutrition transition in low-income countries: an emerging crisis. Nutr Rev 52, 285298.Google Scholar
2. Popkin, BM, Adair, LS & Ng, SW (2012) Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev 70, 321.CrossRefGoogle ScholarPubMed
3. Vorster, HH, Kruger, A & Margetts, BM (2011) The nutrition transition in Africa: can it be steered into a more positive direction? Nutrients 3, 429441.Google Scholar
4. Di Cesare, M, Bentham, J, Stevens, GA et al. (2016) Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet (London, England) 387, 13771396.Google Scholar
5. Popkin, BM (2001) The nutrition transition and obesity in the developing world. J Nutr 131, 871s873s.CrossRefGoogle ScholarPubMed
6. Bailey, RL, West, KP Jr & Black, RE (2015) The epidemiology of global micronutrient deficiencies. Ann Nutr Metab 66, Suppl. 2, 2233.Google Scholar
7. Amuna, P & Zotor, FB (2008) Epidemiological and nutrition transition in developing countries: impact on human health and development. Proc Nutr Soc 67, 8290.CrossRefGoogle ScholarPubMed
8. Haddad, L, Achadi, E, Bendech, MA et al. (2015) The Global Nutrition Report 2014: actions and accountability to accelerate the World's progress on nutrition(–). J Nutr 145, 663671.CrossRefGoogle ScholarPubMed
9. International Council for Science, ISSC (2015) Review of the Sustainable Development Goals: The Science Perspective. Paris: International Council for Science.Google Scholar
10. DeGhetto, K, Gray, JR & Kiggundu, MN (2016) The African Union's Agenda 2063: aspirations, challenges, and opportunities for management research. Afr J Manage 2, 93116.Google Scholar
11. African Union Commission (editors) (2015) Agenda 2063. In The Africa We Want, p.20. Addis Ababa, Ethiopia: African Union Commission.Google Scholar
12. African Union (2015) African regional nutrition strategy 2015–2025. Addis Ababa, Ethiopia: African Union.Google Scholar
13. Tsangarides, CG & Qureshi, MS (2008) Monetary Union Membership in West Africa: a cluster analysis. World Dev 36, 12611279.Google Scholar
14. Sulkowski, AJ & White, DS (2014) Emitting happiness? Using model-based cluster analysis to group countries by wealth, development, carbon emissions, and happiness. Available at SSRN: https://ssrn.com/abstract=2418109 or http://dx.doi.org/10.2139/ssrn.2418109 Google Scholar
15. Vázquez, ST & Sumner, A (2012) Beyond Low and Middle Income Countries: What if There Were Five Clusters of Developing Countries? IDS Working Paper. Brighton, UK: Institute of Development Studies.Google Scholar
16. Onda, K, Crocker, J, Kayser, GL et al. (2014) Country clustering applied to the water & sanitation sector: a new tool with potential applications in research & policy. Int J Hyg Environ Health 217, 379385.Google Scholar
17. Mason, JB & Mitchell, JT (1983) Nutritional surveillance. Bull WHO 61, 745755.Google ScholarPubMed
18. Friedman, G (2014) Review of National Nutrition Surveillance Systems. Washington, DC: FHI 360/FANTA.Google Scholar
19. Forouzanfar, MH, Alexander, L, Anderson, HR et al. (2015) Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England) 386, 22872323.CrossRefGoogle ScholarPubMed
20. Ziraba, AK, Fotso, JC & Ochako, R (2009) Overweight and obesity in urban Africa: a problem of the rich or the poor? BMC Public Health 9, 1.Google Scholar
21. Ethiopian Public Health Institute (2013) Ethiopia National Food Consumption Addis Ababa. Addis Ababa, Ethiopia: Ethiopian Public Health Institute.Google Scholar
22. Maziya-Dixon, B, Akinyele, I, Oguntona, E et al. (2004) Nigeria Food Consumption and Nutrition Survey 2001–2003 Summary . Ibadan, Nigeria: International Institute of Tropical Agriculture.Google Scholar
23. Shisana, OLD, Rehle, T, Simbayi, L et al. (2013) South African National Health and Nutrition Examination Survey (SANHANES-1). Cape Town: HSRC Press.Google Scholar
24. Morris, SS, Cogill, B & Uauy, R (2008) Effective international action against undernutrition: why has it proven so difficult and what can be done to accelerate progress? Lancet (London, England) 371, 608621.CrossRefGoogle ScholarPubMed
25. The International Bank for Reconstruction and Development/The World Bank (2006). In Priorities in Health, p.140 [Jamison, DT, Breman, JG, Measham, AR, Alleyne, G, Claeson, M, Evans, DB, Jha, P, Mills, A and Musgrove, P, editors]. Washington, DC: World Bank.CrossRefGoogle Scholar
26. Mason, JB, Sanders, D, Musgrove, P et al. (2006) Community health and nutrition programs. In Disease Control Priorities in Developing Countries, 2nd ed. [Jamison, DT, Breman, JG, Measham, AR et al. , editors]. Washington, DC: The International Bank for Reconstruction and Development/The World Bank.Google Scholar
27. Thow, AM, Sanders, D, Drury, E et al. (2015) Regional trade and the nutrition transition: opportunities to strengthen NCD prevention policy in the Southern African Development Community. Global Health Action 8, 28338.Google Scholar
28. Schmidt-Traub, G, Karoubi, EM, Espey, J et al. . (2015) Indicators and a monitoring framework for the sustainable development goals launching a data revolution. Report for the UN Secretary-General. Paris, France and New York, USA: SDSN.Google Scholar
29. Scaling Up Nutrition (2016) SUN movement: strategy and roadmap (2016–2020), p. 36. Geneva: SUN Movement Secretariat.Google Scholar
30. UN (2013) Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings. http://unstats.un.org/unsd/methods/m49/m49regin.htm (accessed July 2016).Google Scholar
31. United Nations. Economic Commission for Africa (2016) Status of African integration. UN. ECA Committee of Experts (35th: 2016, Mar. 31 - Apr. 2: Addis Ababa, Ethiopia). Available at http://repository.uneca.org/bitstream/handle/10855/23010/b11560551.pdf?sequence=1 Google Scholar
33. United Nations Development Programme (2015) Human development data (1980–2015). United Nations Development Programme. Available at http://hdr.undp.org/en/countries Google Scholar
34. WorldBank (2015) Statistical capacity indicator dashboard. http://datatopics.worldbank.org/statisticalcapacity/SCIdashboard.aspx Google Scholar
35. United Nations. Economic Commission for Africa. African Union Commission (2012) Status of the implementation of the African charter on statistics and strategy for the harmonization of statistics in Africa: progress report 2012. UN. ECA Meeting of the committee of experts of the 5th joint annual meetings of the AU conference of ministers of economy and finance and ECA conference of African ministers of finance, planning and economic development (5th : 2012, Mar. 22–25: Addis Ababa, Ethiopia). Available at http://repository.uneca.org/bitstream/handle/10855/21137/Bib-30307.pdf?sequence=1 Google Scholar
36. Paris21 (2016) National strategies for the development of statistics. http://www.paris21.org/sites/default/files/NSDS-status-Jan2016.pdf.Google Scholar
37. IUNS (2016) International union of nutritional sciences – adhering bodies. http://www.iuns.org/adhering-bodies/ Google Scholar
38. International Confederation of Dietetic Associations (2012) Dietitians around the World – their education and their work. Toronto: ICDA.Google Scholar
39. Pisa, PT, Landais, E, Margetts, B et al. (2014) Inventory on the dietary assessment tools available and needed in Africa: a prerequisite for setting up a common methodological research infrastructure for nutritional surveillance, research and prevention of diet-related non-communicable diseases. Crit Rev Food Sci Nutr. Available at https://doi.org/10.1080/10408398.2014.981630 Google Scholar
42. African Union, African Development Bank, United Nations Economic Commission for Africa, Food and Agriculture Organization of the United Nations (editors) (2011) Improving statistics for food security, sustainable agriculture, and rural development. Addis Ababa, Ethiopia: African Union, African Development Bank, Economic Commission for Africa, Food and Agriculture Organization.Google Scholar
43. Slimani, N, Deharveng, G, Charrondiere, RU et al. (1999) Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. European Prospective Investigation into Cancer and Nutrition. Comput Methods Programs Biomed 58, 251266.CrossRefGoogle ScholarPubMed
44. Al-Delaimy, WK, Slimani, N, Ferrari, P et al. (2005) Plasma carotenoids as biomarkers of intake of fruits and vegetables: ecological-level correlations in the European Prospective Investigation into Cancer and Nutrition (EPIC). Eur J Clin Nutr 59, 13971408.Google Scholar
45. Crispim, SP, de Vries, JH, Geelen, A et al. (2011) Two non-consecutive 24 h recalls using EPIC-Soft software are sufficiently valid for comparing protein and potassium intake between five European centres: results from the European Food Consumption Validation study. Br J Nutr 105, 447458.Google Scholar
46. Slimani, N, Bingham, S, Runswick, S et al. (2003) Group level validation of protein intakes estimated by 24-hour diet recall and dietary questionnaires against 24-hour urinary nitrogen in the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study. Cancer Epidemiol Biomarkers Prev 12, 784795.Google Scholar
47. Saadatian-Elahi, M, Slimani, N, Chajes, V et al. (2009) Plasma phospholipid fatty acid profiles and their association with food intakes: results from a cross-sectional study within the European Prospective Investigation into Cancer and Nutrition. Am J Clin Nutr 89, 331346.Google Scholar
48. Slimani, N, Ferrari, P, Ocke, M et al. (2000) Standardization of the 24-hour diet recall calibration method used in the European prospective investigation into cancer and nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54, 900917.Google Scholar
49. Crispim, SP, Nicolas, G, Casagrande, C et al. (2014) Quality assurance of the international computerised 24 h dietary recall method (EPIC-Soft). Br J Nutr 111, 506515.Google Scholar
50. Bel-Serrat, S, Knaze, V, Nicolas, G et al. (2017) Adapting the standardised computer- and interview-based 24 h dietary recall method (GloboDiet) for dietary monitoring in Latin America. Public Health Nutr 20, 28472858.Google Scholar
51. Park, MK, Park, JY, Nicolas, G et al. (2015) Adapting a standardised international 24 h dietary recall methodology (GloboDiet software) for research and dietary surveillance in Korea. Br J Nutr 113, 18101818.Google Scholar
52. Aglago, EK, Landais, E, Nicolas, G et al. (2017) Evaluation of the international standardized 24-h dietary recall methodology (GloboDiet) for potential application in research and surveillance within African settings. Global Health 13, 35.Google Scholar
53. Schonfeldt, HC & Hall, N (2013) Capacity building in food composition for Africa. Food Chem 140, 513519.Google Scholar
Figure 0

Table 1. Indicators to profile African countries

Figure 1

Table 2. African countries development and socio-economic indicators

Figure 2

Table 3. Nutritional and diet-related indicators to profile African countries

Supplementary material: PDF

Aglago et al. supplementary material

Aglago et al. supplementary material 1

Download Aglago et al. supplementary material(PDF)
PDF 1.2 MB