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Epidemiology

Early life feeding and current dietary patterns are associated with biomarkers of glucose and lipid metabolism in young women from the Nutritionist’s Health Study

Abstract

Background/objectives

We investigated if breastfeeding duration and current dietary patterns (DP) were associated with glucose and lipid metabolism biomarkers in women from the Nutritionist’s Health Study.

Subjects/methods

This is a cross-sectional analysis of 200 healthy undergraduates and nutrition graduates aged ≤45 years. Total [<6; ≥6 months] and predominant [<3; ≥3 months] breastfeeding were recalled using questionnaires. Diet were assessed using a food frequency questionnaire. DP obtained by factor analysis by principal component were categorized into tertiles of adherence (T1 = reference). Glucose and lipid biomarkers were categorized into tertiles (T1 + T2 = reference). Logistic regression was applied considering minimal sufficient adjustment recommended by directed acyclic graphs.

Results

Median (interquartile range) age and BMI were 23.0 (20.0; 28.5) years and 22.6 (20.7; 25.4) kg/m2, respectively. Mean ± SD values of glucose, LDL-c and HDL-c were 82.0 ± 9.0, 101.1 ± 29.6 and 54.4 ± 12.4 mg/dL, respectively. Women breastfed for <6 months had higher chance of being classified into T3 of insulin (OR = 2.87; 95%CI = 1.28–6.40). Predominant breastfeeding < 3 months was associated with insulin levels (OR = 2.27; 95%CI = 1.02–5.02) and HOMA-IR (OR = 2.36; 95%CI = 1.06−5.26). Breastfeeding was not associated with lipids. The Processed pattern was directly associated with LDL-c (T3: OR 6.08; 95%CI 1.80–20.58; P-trend = 0.004), while the Prudent pattern was inversely associated with LDL-c (T3: OR 0.26; 95%CI 0.08–0.87; P-trend = 0.029) and LDL-c/HDL-c ratio (T3: OR 0.28; 95%CI 0.08–0.97; P-trend = 0.046).

Conclusion

Early feeding could be a protective factor against insulin resistance development, while current DP were associated with lipid profile. This evidence indicates that from early life until early adulthood, dietary habits might influence women’s cardiometabolic risk profile.

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References

  1. WHO. Global status report on noncommunicable diseases. Geneva: WHO Library Cataloguing-in-Publication Data; 2014.

    Google Scholar 

  2. Pirillo A, Bonacina F, Norata GD, Catapano AL. The interplay of lipids, lipoproteins, and immunity in atherosclerosis. Curr Atheroscler Rep. 2018;20:12.

    Article  CAS  PubMed  Google Scholar 

  3. Bonora E, Formentini G, Calcaterra F, Lombardi S, Marini F, Zenari L, et al. HOMA-estimated insulin resistance is an independent predictor of cardiovascular disease in type 2 diabetic subjects: prospective data from the verona diabetes complications study. Diabetes Care. 2002;25:1135–41.

    Article  PubMed  Google Scholar 

  4. Maas AH, van der Schouw YT, Regitz-Zagrosek V, Swahn E, Appelman YE, Pasterkamp G, et al. Red alert for women’s heart: the urgent need for more research and knowledge on cardiovascular disease in women: proceedings of the workshop held in Brussels on gender differences in cardiovascular disease, 29 September 2010. Eur Heart J. 2011;32:1362–8.

    Article  PubMed  Google Scholar 

  5. Olinto MT, Gigante DP, Horta B, Silveira V, Oliveira I, Willett W. Major dietary patterns and cardiovascular risk factors among young Brazilian adults. Eur J Nutr. 2012;51:281–91.

    Article  PubMed  Google Scholar 

  6. Pimenta AM, Toledo E, Rodriguez-Diez MC, Gea A, Lopez-Iracheta R, Shivappa N, et al. Dietary indexes, food patterns and incidence of metabolic syndrome in a Mediterranean cohort: The SUN project. Clin Nutr. 2015;34:508–14.

    Article  CAS  PubMed  Google Scholar 

  7. Xu SH, Qiao N, Huang JJ, Sun CM, Cui Y, Tian SS, et al. Gender differences in dietary patterns and their association with the prevalence of metabolic syndrome among Chinese: a cross-sectional study. Nutrients. 2016;8:180.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Lee J, Kim J. Association between dietary pattern and incidence of cholesterolemia in Korean Adults: the korean genome and epidemiology study. Nutrients 2018;10:1.

    CAS  Google Scholar 

  9. Nanri A, Mizoue T, Yoshida D, Takahashi R, Takayanagi R. Dietary patterns and A1C in Japanese men and women. Diabetes Care. 2008;31:1568–73.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Ruiz-Cabello P, Coll-Risco I, Acosta-Manzano P, Borges-Cosic M, Gallo-Vallejo FJ, Aranda P, et al. Influence of the degree of adherence to the Mediterranean diet on the cardiometabolic risk in peri and menopausal women. The Flamenco project. Nutr Metab Cardiovasc Dis. 2017;27:217–24.

    Article  CAS  PubMed  Google Scholar 

  11. AlEssa HB, Malik VS, Yuan C, Willett WC, Huang T, Hu FB, et al. Dietary patterns and cardiometabolic and endocrine plasma biomarkers in US women. Am J Clin Nutr. 2017;105:432–41.

    Article  CAS  PubMed  Google Scholar 

  12. Kang SH, Cho KH, Do JY. Association between the modified dietary approaches to stop hypertension and metabolic syndrome in postmenopausal women without diabetes. Metab Syndr Relat Disord. 2018;16:282–9.

    Article  CAS  PubMed  Google Scholar 

  13. Cho YA, Kim J, Cho ER, Shin A. Dietary patterns and the prevalence of metabolic syndrome in Korean women. Nutr Metab Cardiovasc Dis. 2011;21:893–900.

    Article  CAS  PubMed  Google Scholar 

  14. Mikkilä V, Räsänen L, Raitakari OT, Marniemi J, Pietinen P, Rönnemaa T, et al. Major dietary patterns and cardiovascular risk factors from childhood to adulthood. The Cardiovascular Risk in Young Finns Study. Br J Nutr. 2007;98:218–25.

    Article  CAS  PubMed  Google Scholar 

  15. Saneei P, Fallahi E, Barak F, Ghasemifard N, Keshteli AH, Yazdannik AR, et al. Adherence to the DASH diet and prevalence of the metabolic syndrome among Iranian women. Eur J Nutr 2015;54:421–8.

    Article  CAS  PubMed  Google Scholar 

  16. Wirfält E, Drake I, Wallström P. What do review papers conclude about food and dietary patterns? Food Nutr Res. 2013;57. https://doi.org/10.3402/fnr.v57i0.20523. (Published online).

  17. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002;13:3–9.

    Article  CAS  PubMed  Google Scholar 

  18. Gluckman PD, Cutfield W, Hofman P, Hanson MA. The fetal, neonatal, and infant environments-the long-term consequences for disease risk. Early Hum Dev. 2005;81:51–9.

    Article  PubMed  Google Scholar 

  19. Ravelli AC, van der Meulen JH, Osmond C, Barker DJ, Bleker OP. Infant feeding and adult glucose tolerance, lipid profile, blood pressure, and obesity. Arch Dis Child. 2000;82:248–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Parikh NI, Hwang SJ, Ingelsson E, Benjamin EJ, Fox CS, Vasan RS, et al. Breastfeeding in infancy and adult cardiovascular disease risk factors. Am J Med. 2009;122:656–63.e1.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Fall CH, Borja JB, Osmond C, Richter L, Bhargava SK, Martorell R, et al. Infant-feeding patterns and cardiovascular risk factors in young adulthood: data from five cohorts in low- and middle-income countries. Int J Epidemiol. 2011;40:47–62.

    Article  PubMed  Google Scholar 

  22. Owen CG, Whincup PH, Cook DG. Breast-feeding and cardiovascular risk factors and outcomes in later life: evidence from epidemiological studies. Proc Nutr Soc. 2011;70:478–84.

    Article  PubMed  Google Scholar 

  23. Kelishadi R, Farajian S. The protective effects of breastfeeding on chronic non-communicable diseases in adulthood: a review of evidence. Adv Biomed Res. 2014;3:3.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Pirilä S, Taskinen M, Viljakainen H, Mäkitie O, Kajosaari M, Saarinen-Pihkala UM, et al. Breast-fed infants and their later cardiovascular health: a prospective study from birth to age 32 years. Br J Nutr. 2014;111:1069–76.

    Article  CAS  PubMed  Google Scholar 

  25. Horta BL, Loret de Mola C, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104:30–7.

    Article  CAS  PubMed  Google Scholar 

  26. Owen CG, Whincup PH, Kaye SJ, Martin RM, Davey Smith G, Cook DG, et al. Does initial breastfeeding lead to lower blood cholesterol in adult life? A quantitative review of the evidence. Am J Clin Nutr. 2008;88:305–14.

    Article  CAS  PubMed  Google Scholar 

  27. Hayosh O, Mandel D, Mimouni FB, Lahat S, Marom R, Lubetzky R. Prolonged duration of breastfeeding does not affect lipid profile in adulthood. Breastfeed Med. 2015;10:218–21.

    Article  PubMed  Google Scholar 

  28. Owen CG, Martin RM, Whincup PH, Smith GD, Cook DG. Does breastfeeding influence risk of type 2 diabetes in later life? A quantitative analysis of published evidence. Am J Clin Nutr. 2006;84:1043–54.

    Article  CAS  PubMed  Google Scholar 

  29. Al Mamun A, O’Callaghan MJ, Williams GM, Najman JM, Callaway L, McIntyre HD. Breastfeeding is protective to diabetes risk in young adults: a longitudinal study. Acta Diabetol 2015;52:837–44.

    Article  PubMed  Google Scholar 

  30. Folchetti LG, Silva IT, Almeida-Pititto B, Ferreira SR. Nutritionists’ Health Study cohort: a web-based approach of life events, habits and health outcomes. BMJ Open. 2016;6:e012081.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95.

    Article  PubMed  Google Scholar 

  32. Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira L, et al. Questionario Internacional de Atividade Física (IPAQ): estudo de validade e reprodutibilidade no Brasil. Ativ Fis e Saúde 2001;6:5–18.

    Google Scholar 

  33. Selem SS, Carvalho AM, Verly-Junior E, Carlos JV, Teixeira JA, Marchioni DM, et al. Validity and reproducibility of a food frequency questionnaire for adults of São Paulo, Brazil. Rev Bras. Epidemiol 2014;17:852–9.

    Google Scholar 

  34. USDA. National Nutrient Database for Standard Reference, Release 28 (online). Basic Report, Nutrient data for 11114, Cabbage, savoy, raw. United States Department of Agriculture, Agricultural Research Service; 2016.

  35. Eshriqui I, Folchetti LD, Valente AMM, de Almeida-Pititto B, Ferreira SRG. Breastfeeding duration is associated with offspring’s adherence to prudent dietary pattern in adulthood: results from the Nutritionist’s Health Study. J Dev Orig Health Dis. 2019:1–10. https://doi.org/10.1017/S204017441900031X. (Published online).

  36. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412–9.

    Article  CAS  PubMed  Google Scholar 

  37. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502.

    Article  CAS  PubMed  Google Scholar 

  38. Textor J, Hardt J, Knüppel S. DAGitty: a graphical tool for analyzing causal diagrams. Epidemiology 2011;22:745.

    Article  PubMed  Google Scholar 

  39. Hui LL, Kwok MK, Nelson EAS, Lee SL, Leung GM, Schooling CM. The association of breastfeeding with insulin resistance at 17 years: Prospective observations from Hong Kong’s “Children of 1997” birth cohort. Matern Child Nutr. 2018;14:e12490. https://doi.org/10.1111/mcn.12490. (Published online).

  40. Singhal A, Lucas A. Early origins of cardiovascular disease: is there a unifying hypothesis? Lancet 2004;363:1642–5.

    Article  PubMed  Google Scholar 

  41. Wang X, Xing KH, Qi J, Guan Y, Zhang J. Analysis of the relationship of insulin-like growth factor-1 to the growth velocity and feeding of healthy infants. Growth Horm IGF Res. 2013;23:215–9.

    Article  CAS  PubMed  Google Scholar 

  42. Savino F, Liguori SA, Sorrenti M, Fissore MF, Oggero R. Breast milk hormones and regulation of glucose homeostasis. Int J Pediatr. 2011;2011:803985.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Robinson S, Ntani G, Simmonds S, Syddall H, Dennison E, Sayer AA, et al. Type of milk feeding in infancy and health behaviours in adult life: findings from the Hertfordshire Cohort Study. Br J Nutr. 2013;109:1114–22.

    Article  CAS  PubMed  Google Scholar 

  44. Choi JH, Woo HD, Lee JH, Kim J. Dietary patterns and risk for metabolic syndrome in korean women: a cross-sectional study. Med (Baltim). 2015;94:e1424.

    Article  Google Scholar 

  45. Paliy O, Piyathilake CJ, Kozyrskyj A, Celep G, Marotta F, Rastmanesh R. Excess body weight during pregnancy and offspring obesity: potential mechanisms. Nutrition. 2014;30:245–51.

    Article  PubMed  Google Scholar 

  46. Tan HC, Roberts J, Catov J, Krishnamurthy R, Shypailo R, Bacha F. Mother’s pre-pregnancy BMI is an important determinant of adverse cardiometabolic risk in childhood. Pediatr Diabetes. 2015;16:419–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Siervo M, Lara J, Chowdhury S, Ashor A, Oggioni C, Mathers JC. Effects of the dietary approach to stop hypertension (DASH) diet on cardiovascular risk factors: a systematic review and meta-analysis. Br J Nutr. 2015;113:1–15.

    Article  CAS  PubMed  Google Scholar 

  48. Anderson JW, Hanna TJ. Impact of nondigestible carbohydrates on serum lipoproteins and risk for cardiovascular disease. J Nutr. 1999;129 Suppl 7:1457S–66S.

    Article  CAS  PubMed  Google Scholar 

  49. Gershuni VM. Saturated fat: part of a healthy diet. Curr Nutr Rep. 2018;7:85–96.

    Article  CAS  PubMed  Google Scholar 

  50. Natland ST, Andersen LF, Nilsen TI, Forsmo S, Jacobsen GW. Maternal recall of breastfeeding duration twenty years after delivery. BMC Med Res Methodol. 2012;12:179.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank NutriHS research team and participants, who were committed to collect and provide, respectively, good quality data.

Funding

This work was supported by the São Paulo Foundation for Research Support—FAPESP, Brazil, which played no role in the study design; data collection; analysis or interpretation of data; or in drafting the manuscript.

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Contributions

Conception and design of the study: SRGF and BAP. Collection of data: LDF, BAP, AMMV, IE, and SRGF. Data analysis and interpretation: IE and SRGF. Drafting of the manuscript: IE and SRGF. Revision of the manuscript: IE, SRGF, BAP, AMMV and LDF. Approval of the final version of the manuscript: IE, SRGF, BAP, AMMV and LDF.

Corresponding author

Correspondence to Sandra Roberta G. Ferreira.

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Supplementary information

41430_2019_516_MOESM1_ESM.docx

Suplementary Figure 1. Directed Acyclic Graph (DAG) for the association between breastfeeding and glucose and lipid metabolism biomarkers

41430_2019_516_MOESM2_ESM.docx

Suplementary Figure 2. Directed Acyclic Graph (DAG) for the association between dietary patterns and glucose and lipid metabolism biomarkers

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Eshriqui, I., Folchetti, L.D., Valente, A.M.M. et al. Early life feeding and current dietary patterns are associated with biomarkers of glucose and lipid metabolism in young women from the Nutritionist’s Health Study. Eur J Clin Nutr 74, 509–517 (2020). https://doi.org/10.1038/s41430-019-0516-8

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