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Caribbean nutrition transition: what can we learn from dietary patterns in the French West Indies?

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Abstract

Purpose

Despite the urgency regarding increasing rates of obesity and chronic diseases in the Caribbean, few studies described the nutrition transition. We aimed to provide such information by identifying dietary patterns in the French West Indies and their characteristics.

Methods

This cross-sectional analysis included 1144 Guadeloupeans and Martinicans from a multistage sampling survey conducted on a representative sample. Dietary patterns were identified using principal component analysis followed by a clustering procedure, and described using multivariable regression models.

Results

Four patterns were identified: (i) a “prudent” pattern characterized by high intakes of fruits, vegetables, legumes, seafood and yogurts, low intakes of fatty and sweet products, and a high Diet Quality Index-International (DQI-I); (ii) a “traditional” pattern characterized by high intakes of fruits, vegetables, tubers and fish, low intakes of red and processed meat, snacks, fast foods, and sweetened beverages, with a high DQI-I, mostly shaped by women and older persons; (iii) a “convenient” pattern characterized by high intakes of sweetened beverages, snacks, and fast foods, with the lowest DQI-I, principally shaped by young participants; (iv) a “transitioning” pattern characterized by high consumptions of bread, processed meat, sauces, alcoholic and sweetened beverages, but also high intakes of tubers, legumes, and fish, mainly shaped by men, middle aged, of whom 35% had metabolic syndrome.

Conclusion

The co-existing dietary patterns in the French West Indies, marked by a generational contrast, seem to reflect different steps in dietary change as described in the literature, suggesting an ongoing nutrition transition.

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Abbreviations

95% CI:

95% Confidence interval

BMI:

Body mass index

BMR:

Basal metabolic rate

DQI-I:

Diet Quality Index-International

FFQ:

Food Frequency Questionnaire

HDL:

High-density lipoprotein

MetS:

Metabolic syndrome

NRF:

Nutrient-Rich Foods Index

OR:

Odds ratio

PCA:

Principal component analysis

SE:

Standard error

SEM:

Standard error of mean

SES:

Socioeconomic status

References

  1. Popkin BM, Adair LS, Ng SW (2012) Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev 70:3–21. https://doi.org/10.1111/j.1753-4887.2011.00456.x

    Article  PubMed  PubMed Central  Google Scholar 

  2. Popkin BM (2006) Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr 84:289–298. https://doi.org/10.1093/ajcn/84.1.289

    Article  CAS  PubMed  Google Scholar 

  3. World Health Organization (WHO) WH STEPS Country Reports. https://www.who.int/ncds/surveillance/steps/reports/en/. Accessed 8 Apr 2019

  4. International Diabetes Federation (2017) IDF Diabetes Atlas, 8th edn. Brussels, Belgium. Available at https://www.diabetesatlas.org

  5. Daigre J-L, Atallah A, Boissin J-L et al (2012) The prevalence of overweight and obesity, and distribution of waist circumference, in adults and children in the French Overseas Territories: the PODIUM survey. Diabetes Metab 38:404–411. https://doi.org/10.1016/j.diabet.2012.03.008

    Article  PubMed  Google Scholar 

  6. Merle S, Yacou C, Neller N, et al (2015) Facteurs de risque cardio-vasculaires en population générale aux Antilles : premiers résultats santé de l’enquête Kannari. Bull Veille Sanit, pp 8–9. https://www.santepubliquefrance.fr/regions/guyane/documents/bulletin-regional/2015/bulletin-de-veille-sanitaire-antillesguyane.-n-8-9-octobre-2015

  7. Fagot-Campagna A, Romon I, Fosse S, Roudier C (2010) Prévalence et incidence du diabète, et mortalité liée au diabète en France. Synthèse épidémiologique. Inst Veille Sanit 12

  8. Sinha DP, McIntosh CE (1992) Changing nutritional patterns in the Caribbean and their implications for health. Food Nutr Bull 14:88–96. https://doi.org/10.1177/156482659201400213

    Article  Google Scholar 

  9. Maire B, Lioret S, Gartner A, Delpeuch F (2002) Transition nutritionnelle et maladies chroniques non transmissibles liées à l’alimentation dans les pays en développement. Cahiers Santé 12:45–55

    PubMed  Google Scholar 

  10. Sinha DP (1995) Changing patterns of food, nutrition and health in the Caribbean. Nutr Res 15:899–938. https://doi.org/10.1016/0271-5317(95)00055-N

    Article  Google Scholar 

  11. Sheehy T, Sharma S (2010) The nutrition transition in Barbados: trends in macronutrient supply from 1961 to 2003. Br J Nutr 104:1222–1229. https://doi.org/10.1017/S0007114510002011

    Article  CAS  PubMed  Google Scholar 

  12. Sheehy T, Sharma S (2013) Trends in energy and nutrient supply in Trinidad and Tobago from 1961 to 2007 using FAO food balance sheets. Public Health Nutr 16:1693–1702. https://doi.org/10.1017/S136898001200537X

    Article  PubMed  Google Scholar 

  13. Block RC, Dozier AM, Hazel-Fernandez L et al (2012) An epidemiologic transition of cardiovascular disease risk in Carriacou and Petite Martinique, Grenada: the Grenada Heart Project, 2005–2007. Prev Chronic Dis 9:E90. https://doi.org/10.5888/pcd9.110167

    Article  PubMed  PubMed Central  Google Scholar 

  14. Colón-Ramos U, Pérez-Cardona CM, Monge-Rojas R (2013) Socio-demographic, behavioral, and health correlates of nutrition transition dietary indicators in San Juan, Puerto Rico. Rev Panam Salud Publica Pan Am J Public Health 34:330–335

    Google Scholar 

  15. Castetbon K, Ramalli L, Vaidie A et al (2016) Consommations alimentaires et biomarqueurs nutritionnels chez les adultes de 16 ans et plus en Guadeloupe et Martinique. Enquête Kannari 2013–2014. Bull Épidémiologique Hebd 4:52–62

    Google Scholar 

  16. Merle B, Deschamps V, Merle S, et al (2008) Enquête sur la santé et les comportements alimentaires en Martinique (Escal 2003–2004). Résultats du volet “consommations alimentaires et apports nutritionnels.” Institut de veille sanitaire, université de Paris 13, Conservatoire national des arts et métiers, Observatoire de la santé de Martinique

  17. Institut national de la statistique et des études économiques (Insee) Definition of Occupational Categories. https://www.insee.fr/fr/methodes/default.asp?page=nomenclatures/pcs2003/liste_n1.htm. Accessed 9 Jul 2019

  18. Le Moullec N, Deheeger M, Preziosi P et al (1996) Validation du manuel-photos utilisé pour l’enquête alimentaire de l’étude SU.VI.MAX. Cah Nutr Diététique 31:158–164

    Google Scholar 

  19. Arnault N, Caillot L, Castetbon K et al (2013) Table de Composition des aliments NutriNet-Santé. Edition Économica, Paris, France

    Google Scholar 

  20. Haubrock J, Nöthlings U, Volatier J-L et al (2011) Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study. J Nutr 141:914–920. https://doi.org/10.3945/jn.109.120394

    Article  CAS  PubMed  Google Scholar 

  21. Black AE (2000) Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord J Int Assoc Study Obes 24:1119–1130

    Article  CAS  Google Scholar 

  22. Mifflin MD, St Jeor ST, Hill LA et al (1990) A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr 51:241–247

    Article  CAS  Google Scholar 

  23. Si Hassen W, Castetbon K, Cardon P et al (2016) Socioeconomic indicators are independently associated with nutrient intake in French adults: a DEDIPAC Study. Nutrients. https://doi.org/10.3390/nu8030158

    Article  PubMed  PubMed Central  Google Scholar 

  24. Fulgoni VL, Keast DR, Drewnowski A (2009) Development and validation of the nutrient-rich foods index: a tool to measure nutritional quality of foods. J Nutr 139:1549–1554. https://doi.org/10.3945/jn.108.101360

    Article  CAS  PubMed  Google Scholar 

  25. Kim S, Haines PS, Siega-Riz AM, Popkin BM (2003) The Diet Quality Index-International (DQI-I) provides an effective tool for cross-national comparison of diet quality as illustrated by China and the United States. J Nutr 133:3476–3484. https://doi.org/10.1093/jn/133.11.3476

    Article  CAS  PubMed  Google Scholar 

  26. Monteiro CA, Cannon G, Moubarac J-C et al (2018) The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr 21:5–17. https://doi.org/10.1017/S1368980017000234

    Article  PubMed  Google Scholar 

  27. World Health Organization (WHO) Expert Committee (1995) Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser 854:1–452

    Google Scholar 

  28. Alberti KGMM, Eckel RH, Grundy SM et al (2009) Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120:1640–1645. https://doi.org/10.1161/CIRCULATIONAHA.109.192644

    Article  CAS  PubMed  Google Scholar 

  29. Jackson DA (1993) Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology 74:2204–2214. https://doi.org/10.2307/1939574

    Article  Google Scholar 

  30. Milligan GW, Cooper MC (1985) An examination of procedures for determining the number of clusters in a data set. Psychometrika 50:159–179. https://doi.org/10.1007/BF02294245

    Article  Google Scholar 

  31. Institut national de la statistique et des études économiques (Insee) La macro SAS CALMAR. https://www.insee.fr/fr/information/2021902. Accessed 17 June 2020

  32. Newby PK, Tucker KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62:177–203. https://doi.org/10.1301/nr.2004.may.177-203

    Article  CAS  PubMed  Google Scholar 

  33. Kesse-Guyot E, Bertrais S, Péneau S et al (2009) Dietary patterns and their sociodemographic and behavioural correlates in French middle-aged adults from the SU.VI.MAX cohort. Eur J Clin Nutr 63:521–528. https://doi.org/10.1038/sj.ejcn.1602978

    Article  CAS  PubMed  Google Scholar 

  34. Krieger J-P, Pestoni G, Cabaset S et al (2018) Dietary patterns and their sociodemographic and lifestyle determinants in Switzerland: results from the National Nutrition Survey menuCH. Nutrients. https://doi.org/10.3390/nu11010062

    Article  PubMed  PubMed Central  Google Scholar 

  35. Clonan A, Roberts KE, Holdsworth M (2016) Socioeconomic and demographic drivers of red and processed meat consumption: implications for health and environmental sustainability. Proc Nutr Soc 75:367–373. https://doi.org/10.1017/S0029665116000100

    Article  PubMed  PubMed Central  Google Scholar 

  36. Méjean C, Debussche X, Martin-Prevel Y, et al (2020) Alimentation et nutrition dans les départements et régions d’Outre-mer. Food and nutrition in the overseas regions. Marseille, IRD Éditions, coll. Expertise collective, bilingue français-anglais, 208 p + clé usb. https://www.editions.ird.fr/produit/574/9782709927215

  37. Combet T, Genre-Grandpierre G, Jean R-M, et al (2017) Institut d’Emission des Départements d’Outre-Mer - Guadeloupe - Rapport annuel 2016. https://www.iedom.fr/IMG/pdf/ra2016_guadeloupe.pdf. Accessed 17 June 2020

  38. Jackson M, Tulloch-Reid M, Walker S et al (2013) Dietary patterns as predictors of prostate cancer in Jamaican men. Nutr Cancer 65:367–374. https://doi.org/10.1080/01635581.2013.757631

    Article  CAS  PubMed  Google Scholar 

  39. Hawkes C (2006) Uneven dietary development: linking the policies and processes of globalization with the nutrition transition, obesity and diet-related chronic diseases. Glob Health 2:4. https://doi.org/10.1186/1744-8603-2-4

    Article  Google Scholar 

  40. Pitot S, Cornély V, Guilloue C (2012) Comportements alimentaires et perceptions de l’alimentation en Guadeloupe en 2010. Typologie des comportements alimentaires en Guadeloupe. Observatoire régional de la santé de Guadeloupe (ORSaG). https://www.orsag.fr/wp-content/uploads/2019/04/ORSaG_Typologie_Comportements_alimentaires_FT2012-1.pdf

  41. Truesdell E, Schelske-Santos M, Nazario CM et al (2018) Foods contributing to macronutrient intake of women living in puerto rico reflect both traditional Puerto Rican and Western-type diets. Nutrients 10:1242. https://doi.org/10.3390/nu10091242

    Article  CAS  PubMed Central  Google Scholar 

  42. Dinu M, Pagliai G, Casini A, Sofi F (2018) Mediterranean diet and multiple health outcomes: an umbrella review of meta-analyses of observational studies and randomised trials. Eur J Clin Nutr 72:30–43. https://doi.org/10.1038/ejcn.2017.58

    Article  CAS  PubMed  Google Scholar 

  43. Auma CI, Pradeilles R, Blake MK, Holdsworth M (2019) What can dietary patterns tell us about the nutrition transition and environmental sustainability of diets in Uganda? Nutrients. https://doi.org/10.3390/nu11020342

    Article  PubMed  PubMed Central  Google Scholar 

  44. Zeba AN, Delisle HF, Renier G (2014) Dietary patterns and physical inactivity, two contributing factors to the double burden of malnutrition among adults in Burkina Faso. West Africa J Nutr Sci 3:e50. https://doi.org/10.1017/jns.2014.11

    Article  PubMed  Google Scholar 

  45. O’Doherty Jensen K, Holm L (1999) Preferences, quantities and concerns: socio-cultural perspectives on the gendered consumption of foods. Eur J Clin Nutr 53:351–359

    Article  Google Scholar 

  46. Wardle J, Haase AM, Steptoe A et al (2004) Gender differences in food choice: the contribution of health beliefs and dieting. Ann Behav Med Publ Soc Behav Med 27:107–116. https://doi.org/10.1207/s15324796abm2702_5

    Article  Google Scholar 

  47. Larson N, Story M (2009) A review of environmental influences on food choices. Ann Behav Med Publ Soc Behav Med 38(Suppl 1):S56–73. https://doi.org/10.1007/s12160-009-9120-9

    Article  Google Scholar 

  48. Darmon N, Drewnowski A (2008) Does social class predict diet quality? Am J Clin Nutr 87:1107–1117

    Article  CAS  Google Scholar 

  49. Galobardes B, Shaw M, Lawlor DA et al (2006) Indicators of socioeconomic position (part 1). J Epidemiol Community Health 60:7–12. https://doi.org/10.1136/jech.2004.023531

    Article  PubMed  PubMed Central  Google Scholar 

  50. Lamani V, Drogue S, Colombet Z, Méjean C (Forthcoming) Trade and food quality: evidence from the French West Indies

  51. Colombet Z, Perignon M, Salanave B et al (2019) Socioeconomic inequalities in metabolic syndrome in the French West Indies. BMC Public Health 19:1620. https://doi.org/10.1186/s12889-019-7970-z

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors thank the Martinique health observatory (OSM), the Guadeloupe health observatory (Orsag), the regional health agency of Martinique (ARS-Martinique), the regional health agency of Guadeloupe (ARS-Guadeloupe), the French Agency for Food, Environmental and Occupational Health and Safe (Anses) and the French Public Health Agency (Santé publique France), as the main investigators, promoters and supporters of the Kannari study. The authors thank the Nutritional Surveillance and Epidemiology Team (ESEN), French Public Health Agency, and Paris-13 University, as the main investigator of the nutritional part of the study and for access to the Kannari database and support documentation. The authors specially thank Katia Castetbon for access to her previous work on Kannari database and her help in data comprehension.

Funding

This study was part of the NuTWInd project (Nutrition Transition in French West Indies), supported by the French National Research Agency (Agence Nationale de la Recherche, ANR) in the context of the 2016 “appel à projets générique” (ANR-16-CE21-0009).

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Contributions

The authors’ responsibilities were as follows: Z.C. designed the study, performed statistical analysis, interpreted data, and drafted the manuscript; B.A., M.P., E.L., Y.M.P., M.J.A., and N.D. were involved in the interpretation of data, and helped to draft the manuscript; C.M. was involved in the conception and design of the study, supervision of statistical analysis and interpretation of data, and helped to draft the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Zoé Colombet.

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Colombet, Z., Allès, B., Perignon, M. et al. Caribbean nutrition transition: what can we learn from dietary patterns in the French West Indies?. Eur J Nutr 60, 1111–1124 (2021). https://doi.org/10.1007/s00394-020-02317-x

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  • DOI: https://doi.org/10.1007/s00394-020-02317-x

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