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

References

• Al-Delaimy, W. K., Ferrari, P., Slimani, N., Pala, V., Johansson, I., Nilsson, S., Mattisson, I., Wirfalt, E., Galasso, R., Palli, D., Vineis, P., Tumino, R., Dorronsoro, M., Pera, G., Ocke, M. C., Bueno-de-Mesquita, H. B., Overvad, K., Chirlaque, M., Trichopoulou, A., Naska, A., Tjonneland, A., Olsen, A., Lund, E., Alsaker, E. H., Barricarte, A., Kesse, E., Boutron-Ruault, M. C., Clavel-Chapelon, F., Key, T. J., Spencer, E., Bingham, S., Welch, A. A., Sanchez-Perez, M. J., Nagel, G., Linseisen, J., Quiros, J. R., Peeters, P. H., van Gils, C. H., Boeing, H., van Kappel, A. L., Steghens, J. P. and Riboli, E. (2005). Plasma carotenoids as biomarkers of intake of fruits and vegetables: Individual-level correlations in the European Prospective Investigation into Cancer and Nutrition (EPIC). Eur. J. Clin. Nutr. 59:1387–1396.
   PubMed Web of Science ®Google Scholar
• Aounallah-Skhiri, H., Traissac, P., El, A. J., Eymard-Duvernay, S., Landais, E., Achour, N., Delpeuch, F., Ben, R. H. and Maire, B. (2011). Nutrition transition among adolescents of a south-Mediterranean country: Dietary patterns, association with socio-economic factors, overweight and blood pressure. A cross-sectional study in Tunisia. Nutr. J. 10:38, 1–17.
   PubMed Web of Science ®Google Scholar
• Arimond, M., Wiesmann, D., Becquey, E., Carriquiry, A., Daniels, M. C., Deitchler, M., Fanou-Fogny, N., Joseph, M. L., Kennedy, G., Martin-Prevel, Y. and Torheim, L. E. (2010). Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings. J. Nutr. 140:2059S–2069S.
   PubMed Web of Science ®Google Scholar
• Asfaw, A. (2007). Micronutrient deficiency and the prevalence of mothers' overweight/obesity in Egypt. Econ. Hum. Biol. 5:471–483.
   PubMed Web of Science ®Google Scholar
• Boutayeb, A. (2006). The double burden of communicable and non-communicable diseases in developing countries. Trans. R. Soc. Trop. Med. Hyg. 100:191–199.
   PubMed Web of Science ®Google Scholar
• Charlton, K. E., Steyn, K., Levitt, N. S., Jonathan, D., Zulu, J. V. and Nel, J. H. (2008). Development and validation of a short questionnaire to assess sodium intake. Public Health Nutr. 11:83–94.
   PubMed Web of Science ®Google Scholar
• Crispim, S. P., de Vries, J. H., Geelen, A., Souverein, O. W., Hulshof, P. J., Lafay, L., Rousseau, A. S., Lillegaard, I. T., Andersen, L. F., Huybrechts, I., De, K. W., Ruprich, J., Dofkova, M., Ocke, M. C., de, B. E., Slimani, N. and van't, V. P. (2011a). 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 (EFCOVAL) study. Br. J. Nutr. 105:447–458.
   PubMed Web of Science ®Google Scholar
• Crispim, S. P., Geelen, A., Siebelink, E., Huybrechts, I., Lillegaard, I. T., Margaritis, I., Rehurkova, I., Slimani, N., Ocke, M. C., de, B. E., van't, V. P. and de Vries, J. H. (2012). Design aspects of 24-h recall assessments may affect the estimates of protein and potassium intake in dietary surveys. Public Health Nutr. 15:1196–1200.
   PubMed Web of Science ®Google Scholar
• Crispim, S. P., Geelen, A., Souverein, O. W., Hulshof, P. J., Ruprich, J., Dofkova, M., Huybrechts, I., De, K. W., Lillegaard, I. T., Andersen, L. F., Lafay, L., Rousseau, A. S., Ocke, M. C., Slimani, N., van, ‘., V, and de Vries, J. H. (2011b). Biomarker-based evaluation of two 24-h recalls for comparing usual fish, fruit and vegetable intakes across European centers in the EFCOVAL Study. Eur. J. Clin. Nutr. 65(Suppl 1):S38–S47.
   PubMedGoogle Scholar
• Crispim, S. P., Nicolas, G., Casagrande, C., Knaze, V., Illner, A. K., Huybrechts, I. and Slimani, N. (2013). Quality assurance of the international computerised 24-h dietary recall method (EPIC-Soft). Br. J. Nutr. 111(3):506–515.
   Web of Science ®Google Scholar
• Crush, J., Frayne, B. and McLachlan, M. (2011). Rapid Urbanization and the Nutrition Transition in Southern African. Queen's University and AFSUN, Cape Town, South Africa.
   Google Scholar
• Dary, O. and Jariseta, Z. R. (2012). Validation of dietary applications of Household Consumption and Expenditures Surveys (HCES) against a 24-hour recall method in Uganda. Food Nutr. Bull. 33:S190–S198.
   PubMed Web of Science ®Google Scholar
• de Boer, E. J., Slimani, N., van't Veer, P., Boeing, H., Feinberg, M., Leclercq, C., Trolle, E., Amiano, P., Andersen, L. F., Freisling, H., Geelen, A., Harttig, U., Huybrechts, I., Kaic-Rak, A., Lafay, L., Lillegaard, I. T., Ruprich, J., de Vries, J. H. and Ocke, M. C. (2011). The European Food Consumption Validation Project: Conclusions and recommendations. Eur. J. Clin. Nutr. 65(Suppl 1):S102–S107.
   PubMedGoogle Scholar
• Delisle, H., Agueh, V. and Fayomi, B. (2011). Partnership research on nutrition transition and chronic diseases in West Africa – trends, outcomes and impacts. BMC. Int. Health Hum. Rights. 11(Suppl 2):S10–
   PubMed Web of Science ®Google Scholar
• Delisle, H., Ntandou-Bouzitou, G., Agueh, V., Sodjinou, R. and Fayomi, B. (2012). Urbanisation, nutrition transition and cardiometabolic risk: The Benin study. Br. J. Nutr. 107(10):1534–1544.
   PubMed Web of Science ®Google Scholar
• Delisle, H. (2008). The double burden of malnutrition in mothers and the intergenerational impact. Annal. N.Y. Acad. Sci. 1136:172–184.
   PubMed Web of Science ®Google Scholar
• El Ati, J., Le Bihan, D., Haddad, S., Eymard-Duvernay, S., Cherif, S., Holdsworth, M., Traissac, P., Ben Rayana, C. and Delpeuch, F. (2004). Food frequency questionnaire for Tunisian dietary intakes: Development, reproducibility and validity. Arab J. Food Nutr. 5:10–30.
   Google Scholar
• Evers, W. and Carol, B. (2007). An internet-based assessment tool for food choices and physical activity behaviors. J. Nutr. Educ. Behav. 39:105–106.
   PubMed Web of Science ®Google Scholar
• Food and Agriculture Organization (FAO). (2010). Guidelines for Measuring Household and Individual Dietary Diversity: A Simple Tool for Developing and Evaluating Food and Nutrition Security Interventions. FAO, Rome, Italy.
   Google Scholar
• Food and Agriculture Organization (FAO). (2012). West African Food Composition Table/Table de composition des aliments d´Afrique de l´Ouest. FAO, Rome, Italy.
   Google Scholar
• Food and Agriculture Organization (FAO) and U.S.Department of Health, E.a.W. (1968). Food Composition Tables for Use in Africa. FAO, Rome, Italy.
   Google Scholar
• Gibson, R. S. and Ferguson, E. L. (2008). An interactive 24-hour recall for assessing the adequacy of iron and zinc intakes in developing countries. HarvestPlus Technical Monograph 8. 2008:1–160.
   Google Scholar
• Hudson, G. J. (1995). Food intake in a west African village. Estimation of food intake from a shared bowl. Br. J. Nutr. 73:551–569.
   PubMed Web of Science ®Google Scholar
• Huybrechts, I., Casagrande, C., Nicolas, G., Geelen, A., Crispim, S. P., De, K. W., Freisling, H., De, H. S., De, M. M., Krems, C., Amiano, P., de Boer, E. J., Ocke, M. C., de Vries, J. H. and Slimani, N. (2011a). Inventory of experiences from national/regional dietary monitoring surveys using EPIC-Soft. Eur. J. Clin. Nutr. 65(Suppl 1):S16–S28.
   PubMedGoogle Scholar
• Huybrechts, I., Geelen, A., de Vries, J. H., Casagrande, C., Nicolas, G., De, K. W., Lillegaard, I. T., Ruprich, J., Lafay, L., Wilson-van den Hooven, EC, Niekerk, E. M., Margaritis, I., Rehurkova, I., Crispim, S. P., Freisling, H., De, H. S. and Slimani, N. (2011b). Respondents' evaluation of the 24-h dietary recall method (EPIC-Soft) in the EFCOVAL Project. Eur. J. Clin. Nutr. 65(Suppl 1):S29–S37.
   PubMedGoogle Scholar
• Illner, A. K., Freisling, H., Boeing, H., Huybrechts, I., Crispim, S. P. and Slimani, N. (2012). Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. Int. J. Epidemiol. 41:1187–1203.
   PubMed Web of Science ®Google Scholar
• Korkalo, L., Erkkola, M., Fidalgo, L., Nevalainen, J. and Mutanen, M. (2013). Food photographs in portion size estimation among adolescent Mozambican girls. Public Health Nutr. 16:1558–1564.
   PubMed Web of Science ®Google Scholar
• Kroeze, W., Werkman, A. and Brug, J. (2006). A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Ann. Behav. Med. 31:205–223.
   PubMed Web of Science ®Google Scholar
• Kruger, H. S., Venter, C. S., Vorster, H. H. and Margetts, B. M. (2002). Physical inactivity is the major determinant of obesity in black women in the North West Province, South Africa: The THUSA study. Transition and health during urbanisation of South Africa. Nutrition. 18:422–427.
   PubMed Web of Science ®Google Scholar
• Lagerros, Y. T., Mucci, L. A., Bellocco, R., Nyren, O., Balter, O. and Balter, K. A. (2006). Validity and reliability of self-reported total energy expenditure using a novel instrument. Eur. J. Epidemiol. 21:227–236.
   PubMed Web of Science ®Google Scholar
• Landais, E., Gartner, A., Bour, A., McCullough, F., Delpeuch, F. and Holdsworth, M. (2014). Reproducibility and relative validity of a brief quantitative food frequency questionnaire for assessing fruit and vegetable intakes in North African women. J. Human Nutr. Diet. 27:152–159.
   PubMed Web of Science ®Google Scholar
• Leyna, G. H., Mmbaga, E. J., Mnyika, K. S. and Klepp, K. I. (2008). Validation of the Radimer/Cornell food insecurity measure in rural Kilimanjaro, Tanzania. Public Health Nutr. 11:684–689.
   PubMed Web of Science ®Google Scholar
• Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., ir-Rohani, H., Amann, M., Anderson, H. R., Andrews, K. G., Aryee, M., Atkinson, C., Bacchus, L. J., Bahalim, A. N., Balakrishnan, K., Balmes, J., Barker-Collo, S., Baxter, A., Bell, M. L., Blore, J. D., Blyth, F., Bonner, C., Borges, G., Bourne, R., Boussinesq, M., Brauer, M., Brooks, P., Bruce, N. G., Brunekreef, B., Bryan-Hancock, C., Bucello, C., Buchbinder, R., Bull, F., Burnett, R. T., Byers, T. E., Calabria, B., Carapetis, J., Carnahan, E., Chafe, Z., Charlson, F., Chen, H., Chen, J. S., Cheng, A. T., Child, J. C., Cohen, A., Colson, K. E., Cowie, B. C., Darby, S., Darling, S., Davis, A., Degenhardt, L., Dentener, F., Des, J., Devries, K., Dherani, M., Ding, E. L., Dorsey, E. R., Driscoll, T., Edmond, K., Ali, S. E., Engell, R. E., Erwin, P. J., Fahimi, S., Falder, G., Farzadfar, F., Ferrari, A., Finucane, M. M., Flaxman, S., Fowkes, F. G., Freedman, G., Freeman, M. K., Gakidou, E., Ghosh, S., Giovannucci, E., Gmel, G., Graham, K., Grainger, R., Grant, B., Gunnell, D., Gutierrez, H. R., Hall, W., Hoek, H. W., Hogan, A., Hosgood, H. D., III, Hoy, D., Hu, H., Hubbell, B. J., Hutchings, S. J., Ibeanusi, S. E., Jacklyn, G. L., Jasrasaria, R., Jonas, J. B., Kan, H., Kanis, J. A., Kassebaum, N., Kawakami, N., Khang, Y. H., Khatibzadeh, S., Khoo, J. P., Kok, C., Laden, F., Lalloo, R., Lan, Q., Lathlean, T., Leasher, J. L., Leigh, J., Li, Y., Lin, J. K., Lipshultz, S. E., London, S., Lozano, R., Lu, Y., Mak, J., Malekzadeh, R., Mallinger, L., Marcenes, W., March, L., Marks, R., Martin, R., McGale, P., McGrath, J., Mehta, S., Mensah, G. A., Merriman, T. R., Micha, R., Michaud, C., Mishra, V., Mohd, H. K., Mokdad, A. A., Morawska, L., Mozaffarian, D., Murphy, T., Naghavi, M., Neal, B., Nelson, P. K., Nolla, J. M., Norman, R., Olives, C., Omer, S. B., Orchard, J., Osborne, R., Ostro, B., Page, A., Pandey, K. D., Parry, C. D., Passmore, E., Patra, J., Pearce, N., Pelizzari, P. M., Petzold, M., Phillips, M. R., Pope, D., Pope, C. A., III, Powles, J., Rao, M., Razavi, H., Rehfuess, E. A., Rehm, J. T., Ritz, B., Rivara, F. P., Roberts, T., Robinson, C., Rodriguez-Portales, J. A., Romieu, I., Room, R., Rosenfeld, L. C., Roy, A., Rushton, L., Salomon, J. A., Sampson, U., Sanchez-Riera, L., Sanman, E., Sapkota, A., Seedat, S., Shi, P., Shield, K., Shivakoti, R., Singh, G. M., Sleet, D. A., Smith, E., Smith, K. R., Stapelberg, N. J., Steenland, K., Stockl, H., Stovner, L. J., Straif, K., Straney, L., Thurston, G. D., Tran, J. H., Van, D. R., van, D. A., Veerman, J. L., Vijayakumar, L., Weintraub, R., Weissman, M. M., White, R. A., Whiteford, H., Wiersma, S. T., Wilkinson, J. D., Williams, H. C., Williams, W., Wilson, N., Woolf, A. D., Yip, P., Zielinski, J. M., Lopez, A. D., Murray, C. J., Ezzati, M., AlMazroa, M. A. and Memish, Z. A. (2012). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet. 380:2224–2260.
   PubMed Web of Science ®Google Scholar
• Macintyre, U. E., Venter, C. S. and Vorster, H. H. (2001a). A culture-sensitive quantitative food frequency questionnaire used in an African population: 1. Development and reproducibility. Public Health Nutr. 4:53–62.
   PubMed Web of Science ®Google Scholar
• Macintyre, U. E., Venter, C. S. and Vorster, H. H. (2001b). A culture-sensitive quantitative food frequency questionnaire used in an African population: 2. Relative validation by 7-day weighted records and biomarkers. Public Health Nutr. 4:63–71.
   PubMed Web of Science ®Google Scholar
• Macintyre, U. E., Venter, C. S., Vorster, H. H. and Steyn, H. S. (2001c). A combination of statistical methods for the analysis of the relative validation data of the quantitative food frequency questionnaire used in the THUSA study. Transition, health and urbanisation in South Africa. Public Health Nutr. 4:45–51.
   PubMed Web of Science ®Google Scholar
• Mendez, M. A., Monteiro, C. A. and Popkin, B. M. (2005). Overweight exceeds underweight among women in most developing countries. Am. J. Clin. Nutr. 81:714–721.
   PubMed Web of Science ®Google Scholar
• Micha, R., Kalantarian, S., Wirojratana, P., Byers, T., Danaei, G., Elmadfa, I., Ding, E., Giovannucci, E., Powles, J., Smith-Warner, S., Ezzati, M. and Mozaffarian, D. (2012). Estimating the global and regional burden of suboptimal nutrition on chronic disease: Methods and inputs to the analysis. Eur. J. Clin. Nutr. 66:119–129.
   PubMed Web of Science ®Google Scholar
• Ngo, J., Engelen, A., Molag, M., Roesle, J., Garcia-Segovia, P. and Serra-Majem, L. (2009). A review of the use of information and communication technologies for dietary assessment. Br. J. Nutr. 101(Suppl 2):S102–S112.
   PubMed Web of Science ®Google Scholar
• Pisa, P. T., Vorster, H. H. and Nishida, C. (2011). Cardiovascular disease and nutrition: The use of food-based dietary guidelines for prevention in Africa. S. Afr. Heart J. 8:38–47.
   Google Scholar
• Pisa, P. T., Behanan, R., Vorster, H. H. and Kruger, A. (2012). Social drift of cardiovascular disease risk factors in Africans from the North West Province of South Africa: The PURE study. Cardiovasc. J. Afr. 23:371–388.
   PubMed Web of Science ®Google Scholar
• Popkin, B. M. (2009). Global changes in diet and activity patterns as drivers of the nutrition transition. Nestle. Nutr. Workshop Ser. Pediatr. Program. 63:1–10.
   PubMedGoogle Scholar
• Popkin, B. M., Adair, L. S. and Ng, S. W. (2012). Global nutrition transition and the pandemic of obesity in developing countries. Nutr. Rev. 70:3–21.
   PubMed Web of Science ®Google Scholar
• Popkin, B. M. (2003). The nutrition transition in the developing world. Dev. Policy Rev. 21:581–597.
   Google Scholar
• Rutishauser, I. H. (2005). Dietary intake measurements. Public Health Nutr. 8:1100–1107.
   PubMed Web of Science ®Google Scholar
• Schatzkin, A., Subar, A. F., Moore, S., Park, Y., Potischman, N., Thompson, F. E., Leitzmann, M., Hollenbeck, A., Morrissey, K. G. and Kipnis, V. (2009). Observational epidemiologic studies of nutrition and cancer: The next generation (with better observation). Cancer Epidemiol. Biomarkers Prev. 18:1026–1032.
   PubMed Web of Science ®Google Scholar
• Senekal, M., Steyn, N. P. and Nel, J. (2009). A questionnaire for screening the micronutrient intake of economically active South African adults. Public Health Nutr. 12:2159–2167.
   PubMed Web of Science ®Google Scholar
• Sharma, S., Cade, J., Jackson, M., Mbanya, J. C., Chungong, S., Forrester, T., Bennett, F., Wilks, R., Balkau, B. and Cruickshank, J. K. (1996). Development of food frequency questionnaires in three population samples of African origin from Cameroon, Jamaica and Caribbean migrants to the UK. Eur. J. Clin. Nutr. 50:479–486.
   PubMed Web of Science ®Google Scholar
• Slimani, N., Casagrande, C., Nicolas, G., Freisling, H., Huybrechts, I., Ocke, M. C., Niekerk, E. M., van, R. C., Bellemans, M., De, M. M., Lafay, L., Krems, C., Amiano, P., Trolle, E., Geelen, A., de Vries, J. H. and de Boer, E. J. (2011). The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring. Eur. J. Clin. Nutr. 65(Suppl 1):S5–15.
   PubMedGoogle Scholar
• Slimani, N., Deharveng, G., Charrondiere, R. U., van Kappel, A. L., Ocke, M. C., Welch, A., Lagiou, A., van, L. M., Agudo, A., Pala, V., Brandstetter, B., Andren, C., Stripp, C., Van Staveren, W. A. and Riboli, E. (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. 58:251–266.
   PubMed Web of Science ®Google Scholar
• Slimani, N., Deharveng, G., Unwin, I., Southgate, D. A., Vignat, J., Skeie, G., Salvini, S., Parpinel, M., Moller, A., Ireland, J., Becker, W., Farran, A., Westenbrink, S., Vasilopoulou, E., Unwin, J., Borgejordet, A., Rohrmann, S., Church, S., Gnagnarella, P., Casagrande, C., van, B. M., Niravong, M., Boutron-Ruault, M. C., Stripp, C., Tjonneland, A., Trichopoulou, A., Georga, K., Nilsson, S., Mattisson, I., Ray, J., Boeing, H., Ocke, M., Peeters, P. H., Jakszyn, P., Amiano, P., Engeset, D., Lund, E., de Magistris, M. S., Sacerdote, C., Welch, A., Bingham, S., Subar, A. F. and Riboli, E. (2007). The EPIC nutrient database project (ENDB): A first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur. J. Clin. Nutr. 61:1037–1056.
   PubMed Web of Science ®Google Scholar
• Slimani, N., Kaaks, R., Ferrari, P., Casagrande, C., Clavel-Chapelon, F., Lotze, G., Kroke, A., Trichopoulos, D., Trichopoulou, A., Lauria, C., Bellegotti, M., Ocke, M. C., Peeters, P. H., Engeset, D., Lund, E., Agudo, A., Larranaga, N., Mattisson, I., Andren, C., Johansson, I., Davey, G., Welch, A. A., Overvad, K., Tjonneland, A., Van Staveren, W. A., Saracci, R. and Riboli, E. (2002). European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: Rationale, design and population characteristics. Public Health Nutr. 5:1125–1145.
   PubMed Web of Science ®Google Scholar
• Steyn, N. P., Nel, J. H., Parker, W., Ayah, R. and Mbithe, D. (2012). Urbanisation and the nutrition transition: A comparison of diet and weight status of South African and Kenyan women. Scand. J. Public Health. 40:229–238.
   PubMed Web of Science ®Google Scholar
• Thompson, F. E. and Byers, T. (1994). Dietary assessment resource manual. J. Nutr. 124:2245S–2317S.
   PubMed Web of Science ®Google Scholar
• Torheim, L. E., Barikmo, I., Parr, C. L., Hatloy, A., Ouattara, F. and Oshaug, A. (2003). Validation of food variety as an indicator of diet quality assessed with a food frequency questionnaire for Western Mali. Eur. J. Clin. Nutr. 57:1283–1291.
   PubMed Web of Science ®Google Scholar
• Touvier, M., Kesse-Guyot, E., Mejean, C., Pollet, C., Malon, A., Castetbon, K. and Hercberg, S. (2011). Comparison between an interactive web-based self-administered 24-h dietary record and an interview by a dietitian for large-scale epidemiological studies. Br. J. Nutr. 105:1055–1064.
   PubMed Web of Science ®Google Scholar
• Vereecken, C., Dohogne, S., Covents, M. and Maes, L. (2010). How accurate are adolescents in portion-size estimation using the computer tool Young Adolescents' Nutrition Assessment on Computer (YANA-C)? Br. J. Nutr. 103:1844–1850.
   PubMed Web of Science ®Google Scholar
• Vereecken, C. A., Covents, M., Haynie, D. and Maes, L. (2009). Feasibility of the young children's nutrition assessment on the web. J. Am. .Diet. Assoc. 109:1896–1902.
   PubMed Web of Science ®Google Scholar
• Vereecken, C. A., Covents, M., Matthys, C. and Maes, L. (2005). Young adolescents' nutrition assessment on computer (YANA-C). Eur. J. Clin. Nutr. 59:658–667.
   PubMed Web of Science ®Google Scholar
• Vereecken, C. A., Covents, M., Sichert-Hellert, W., Alvira, J. M., Le, D. C., De, H. S., De, V. T., Phillipp, M. K., Beghin, L., Manios, Y., Hallstrom, L., Poortvliet, E., Matthys, C., Plada, M., Nagy, E. and Moreno, L. A. (2008). Development and evaluation of a self-administered computerized 24-h dietary recall method for adolescents in Europe. Int. J. Obes. (Lond). 32(Suppl 5):S26–S34.
   PubMed Web of Science ®Google Scholar
• Vorster, H. H. (2002). The emergence of cardiovascular disease during urbanisation of Africans. Public Health Nutr. 5:239–243.
   PubMed Web of Science ®Google Scholar
• Vorster, H. H., Kruger, A. and Margetts, B. M. (2011). The nutrition transition in Africa: Can it be steered into a more positive direction? Nutrients. 3:429–441.
   PubMed Web of Science ®Google Scholar
• Voss, S., Charrondiere, U. R., Slimani, N., Kroke, A., Riboli, E., Wahrendorf, J. and Boeing, H. (1998). EPIC-SOFT a European computer program for 24-hour dietary protocols. Z. Ernahrungswiss. 37:227–233.
   PubMedGoogle Scholar
• Webster-Gandy, J., Madden, A. and Holdsworth, M. (2012). Oxford Handbook of Nutrition and Dietetics. Vol. Oxford handbooks. Oxford: Oxford University Press. Pgs. 33–56.
   Google Scholar
• World Health Organization (WHO). (2004). Global Strategy on Diet, Physical Activity and Health. WHO, Geneva, Switzerland.
   Google Scholar
• World Health Organization (WHO). (2006). The African Regional Health Report: The Health of the People. AFRO, Geneva, Switzerland.
   Google Scholar
• World Health Organization (WHO.) (2008). 2008–2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases. WHO, Geneva, Switzerland.
   Google Scholar
• World Health Organization (WHO). (2013). Non communicable diseases (fact sheet): An update. Available from http://www.who.int/mediacentre/factsheets/fs355/en./. Accessed 11 November 2013.
   Google Scholar