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FROM BIRTH TO ADULTHOOD: ANTHROPOMETRIC TRAJECTORIES AND THEIR IMPLICATIONS FOR CHRONIC DISEASES IN GUATEMALA

Published online by Cambridge University Press:  08 October 2018

Carmen D. Ng*
Affiliation:
Graduate Group in Demography, University of Pennsylvania, Philadelphia, PA, USA

Abstract

The objective of this paper was to study nutritional status and growth, as measured by height and weight, over the life course and their connection with chronic diseases in Guatemala, a country with high levels of child undernutrition and adult overnutrition, using data from the Institute of Nutrition of Central America and Panama (INCAP) Nutrition Trial Cohort study. The study sample comprised a birth cohort of 1570 individuals who had data in the original 1969–1977 survey as well as the 2002–2004 follow-up, allowing for an analysis of the nutritional transition from childhood to adulthood. The associations between childhood and adulthood anthropometrics were analysed, and the links of these with chronic disease indicators were assessed using multiple regression analysis and structural equation modelling. Moving upwards in nutritional status from childhood to adulthood was observed frequently in the study population. Unlike sex and place of residence, early anthropometrics were not generally found to be associated with adult body mass index (BMI). However, direct relationships were found between childhood nutritional status and growth and adulthood high-density lipoprotein (HDL) cholesterol, triglycerides and fasting blood glucose. Furthermore, these relationships were not mediated by BMI. The findings were not sensitive to the metric of childhood anthropometrics, as the use of length-for-age, weight-for-age and weight-for-length all resulted in similar conclusions. These relationships demonstrate the importance of early childhood conditions for later-life outcomes. However, the lack of such relationships for blood pressure suggests that the biological links between childhood anthropometrics and various chronic diseases might vary.

Type
Research Article
Copyright
Copyright © Cambridge University Press, 2018 

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References

Adair, LS Prentice, AM (2004) A critical evaluation of the fetal origins hypothesis and its implications for developing countries. Journal of Nutrition 134(1), 191193.Google Scholar
Andersen, CT, Stein, AD, Reynolds, SA, Behrman, JR, Crookston, BT Dearden, KA et al. (2016) Stunting in infancy is associated with decreased risk of high body mass index for age at 8 and 12 years of age. Journal of Nutrition 146(11), 22962303.Google Scholar
Barker, DJP (1997) Maternal nutrition, fetal nutrition, and disease in later life. Nutrition 13, 807813.Google Scholar
Barker, DJP (2004) The developmental origins of chronic adult disease. Acta Paediatrica 93(446), 2633.Google Scholar
Belahsen, R (2014) Nutrition transition and food sustainability. Proceedings of the Nutrition Society 73(3), 385388.Google Scholar
Bhutta, ZA, Das, JK, Rizvi, A, Gaffey, MF, Walker, N Horton, S et al. (2013) Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost? The Lancet 382(9890), 452477.Google Scholar
Braddon, FEM, Rodgers, B, Wadsworth, MEJ Davies, JMC (1986) Onset of obesity in a 36 year birth cohort study. British Medical Journal 293, 299303.Google Scholar
Caballero, B (2005) A nutrition paradox – underweight and obesity in developing countries. The New England Journal of Medicine 352(15), 15141516.Google Scholar
Calkins, K Devaskar, SU (2011) Fetal origins of adult disease. Current Problems in Pediatric and Adolescent Health Care 41(6), 158176.Google Scholar
Delisle, H (2002) Programming of Chronic Disease by Impaired Fetal Nutrition: Evidence and Implications for Policy and Intervention Strategies. Department of Nutrition for Health and Development, WHO.Google Scholar
Eriksson, JG, Forsén, T, Tuomilehto, J, Osmond, C Barker, DJP (2001) Early growth and coronary heart disease in later life: longitudinal study. British Medical Journal 322, 949953.Google Scholar
FANTA (2011) Anthropometry: Children Under 5. Food and Nutrition Technical Assistance (FANTA). URL: https://www.fantaproject.org/sites/default/files/resources/Pocket-Ref-Anthro-Feb2011-English.pdf (accessed 21st April 2018).Google Scholar
FANTA (2017) Reducing Malnutrition in Guatemala: Estimates to Support Nutrition Advocacy – Guatemala Profiles 2017. Food and Nutrition Technical Assistance (FANTA). URL: https://www.fantaproject.org/sites/default/files/resources/Guatemala-PROFILES-Full-Report-ENGLISH-Oct2017_0.pdf (accessed 21st April 2018).Google Scholar
Ford, ND, Martorell, R, Mehta, NK, Ramirez-Zea, M Stein, AD (2016) Life-course body mass index trajectories are predicted by childhood socioeconomic status but not exposure to improved nutrition during the first 1000 days after conception in Guatemalan adults. Journal of Nutrition 146(11), 23682374.Google Scholar
Hoddinott, J, Behrman, JR, Maluccio, JA, Melgar, P, Quisumbing, AR Ramirez-Zea, M et al. (2013) Adult consequences of growth failure in early childhood. American Journal of Clinical Nutrition 98(5), 11701178.Google Scholar
Lucas, A, Fewtrell, MS Cole, TJ (1999) Fetal origins of adult disease – the hypothesis revisited. British Medical Journal 319, 245249.Google Scholar
Maluccio, JA, Hoddinott, J, Behrman, JR, Martorell, R, Quisumbing, AR Stein, AD (2009) the impact of improving nutrition during early childhood on education among Guatemalan adults. The Economic Journal 119(537), 734763.Google Scholar
Mascie-Taylor, CGN Goto, R (2007) Human variation and body mass index: a review of the universality of BMI. Journal of Physiological Anthropology 26, 109112.Google Scholar
NIH (2005) High Blood Cholesterol: What You Need To Know. National Institutes of Health (NIH). URL: https://www.nhlbi.nih.gov/health/resources/heart/heart-cholesterol-hbc-what-html (accessed 18th October 2017).Google Scholar
NIH (2012) Types of Blood Tests. National Institutes of Health. URL: https://www.nhlbi.nih.gov/health/health-topics/topics/bdt/types (accessed 18th October 2017).Google Scholar
NIH (2015) What Are the Signs, Symptoms, and Complications of High Blood Pressure? National Institutes of Health. URL: https://www.nhlbi.nih.gov/health/health-topics/topics/hbp/signs#Complications (accessed 18th October 2017).Google Scholar
Nobili, V, Alisi, A, Panera, N Agostoni, C (2008) Low birth weight and catch-up-growth associated with metabolic syndrome: a ten year systematic review. Pediatric Endocrinology Reviews 6(2), 241247.Google Scholar
Ong, KK (2007) Catch-up growth in small for gestational age babies: good or bad? Endocrinology, Diabetes and Obesity 14(1), 3034.Google Scholar
Power, C, Lake, JK Cole, TJ (1997) Body mass index and height from childhood to adulthood in the 1958 British birth cohort. American Journal of Clinical Nutrition 66, 10941101.Google Scholar
R Core Team (2017) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org/ (accessed 5th September 2017).Google Scholar
Ramachandran, P (2011) Public Health and Nutrition in Developing Countries.Google Scholar
Richter, LM, Victora, CG, Hallal, PC, Adair, LS, Bhargava, SK Fall, CHD et al. (2012) Cohort profile: the consortium of health-oriented research in transitioning societies. International Journal of Epidemiology 41(3), 621626.Google Scholar
Roseboom, TJ (2012) Undernutrition during fetal life and the risk of cardiovascular disease in adulthood. Future Cardiology 8(1), 57.Google Scholar
Rosseel, Y (2012) lavaan: an R package for structural equation modeling. Journal of Statistical Software 48(2), 136.Google Scholar
Shrimpton, R Rokx, C (2012) The Double Burden of Malnutrition: A Review of Global Evidence. The World Bank Human Development Network (HDN), Health, Nutrition, and Population Family (HNP), Washington, DC.Google Scholar
Stein, AD, Barros, FC, Bhargava, SK, Hao, W, Horta, BL Lee, N et al. (2013) Birth status, child growth, and adult outcomes in low- and middle-income countries. Journal of Pediatrics 163(6), 17401746.Google Scholar
Stein, AD, Conlisk, A, Torun, B, Schroeder, DG, Grajeda, R Martorell, R (2002) Cardiovascular disease risk factors are related to adult adiposity but not birth weight in young Guatemalan adults. Journal of Nutrition 132(8), 22082214.Google Scholar
Stein, AD, Melgar, P, Hoddinott, J Martorell, R (2008) Cohort profile: the Institute of Nutrition of Central America and Panama (INCAP) Nutrition Trial Cohort study. International Journal of Epidemiology 37(4), 716720.Google Scholar
Thureen, PJ (2007) The neonatologist's dilemma: catch-up growth or beneficial undernutrition in very low birth weight infants – what are optimal growth rates? Journal of Pediatric Gastroenterology and Nutrition 45, S152S154.Google Scholar
van Abeelen, AFM, Elias, SG, Roseboom, TJ, Bossuyt, PMM, van der Schouw, YT, Grobbee, DE Uiterwaal, CSPM (2012) Postnatal acute famine and risk of overweight: the Dutch Hungerwinter Study. International Journal of Pediatrics 2012, 19.Google Scholar
Victora, CG, Adair, L, Fall, C, Hallal, PC, Martorell, R, Richter, L Sachdev, HS (2008) Maternal and child undernutrition: consequences for adult health and human capital. The Lancet 371(9609), 340357.Google Scholar
Wang, Y, Chen, HJ, Shaikh, S Marthur, P (2009) Is obesity becoming a public health problem in India? Examine the shift from under- to overnutrition problems over time. Obesity Reviews 10(4), 456474.Google Scholar
WHO (2011) Child Growth Standards: WHO Anthro (version 3.2.2, January 2011) and Macros. URL: http://www.who.int/childgrowth/software/en/ (accessed 15th January 2017).Google Scholar
WHO (2006) Global Database on Body Mass Index: BMI Classification. URL: http://apps.who.int/bmi/index.jsp?introPage=intro_3.html (accessed 20th November 2016).Google Scholar
WHO (2016a) Diabetes Country Profiles, 2016 – Guatemala. URL: http://www.who.int/diabetes/country-profiles/gtm_en.pdf (accessed 21st April 2018).Google Scholar
WHO (2016b) Global Database on Child Growth and Malnutrition: Description. URL: http://www.who.int/nutgrowthdb/about/introduction/en/index5.html (accessed 20th November 2016).Google Scholar