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Association of perinatal factors and school performance in primary school Chilean children

Published online by Cambridge University Press:  25 February 2013

L. Villarroel
Affiliation:
Division of Public Health, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
L. Karzulovic
Affiliation:
Division of Public Health, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
J. Manzi
Affiliation:
School of Psychology, Faculty of Social Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
J. G. Eriksson
Affiliation:
Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland Folkhalsan Research Centre, Helsinki, Finland
F. Mardones*
Affiliation:
Division of Public Health, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
*
*Address for correspondence: Dr F. Mardones, Department of Public Health, Pontificia Universidad Católica de Chile, Street Marcoleta 434, 833-0073 Santiago, Chile. (Email [email protected] or [email protected])

Abstract

The associations between school performance and cognitive abilities with birth characteristics have mostly been studied without taking into consideration the effects of gestational age (GA). Our aim was to study the association between prenatal growth and cognitive function in term-born Chilean school children. A cohort of over 200,000 term-born fourth graders who took the regular national test for school performance was studied. Outcome parameters were language and mathematics test scores in relation to prenatal growth. A total of 256,040 subjects took the test and 220,940 were included in the final study sample. Prenatal growth was modestly, but significantly, associated with school performance. Adjusted β coefficients for 1 cm increase in birth length were 1.28 and 0.77 for mathematics and language, respectively; the corresponding values for 100 g increase in birth weight were 0.59 and 0.34, respectively. Increased GA was associated with lower test scores. Adjusted β coefficients for the birth measurements generally had a lower strength of association than those of socio-economic factors. However, the confounders most strongly associated with educational achievements were socio-economic factors, known to be associated with birth size. Lower socio-economic status is known to negatively influence both prenatal growth and cognitive function, supporting the overall importance of prenatal growth in relation to cognitive outcomes.

Type
Original Article
Copyright
Copyright © Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2013 

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References

1.Gluckman, PD, Hanson, MA, Cooper, C, et al. Effect of in utero and early-life conditions on adult health and disease. N Engl J Med. 2008; 359, 6173.CrossRefGoogle ScholarPubMed
2.Barker, DJ, Osmond, C, Kajantie, E, et al. Growth and chronic disease: findings in the Helsinki birth cohort. Ann Hum Biol. 2009; 36, 445458.Google Scholar
3.Batty, GD, Deary, IJ. Early life intelligence and adult health. BMJ. 2004; 329, 585586.Google Scholar
4.Kajantie, E, Räikkönen, K, Henriksson, M, et al. Childhood socioeconomic status modifies the association between intellectual abilities at age 20 and mortality in later life. J Epidemiol Community Health. 2010; 64, 963969.Google Scholar
5.Shenkin, SD, Starr, JM, Deary, IJ. Birth weight and cognitive ability in childhood: a systematic review. Psychol Bull. 2004; 130, 9891013.Google Scholar
6.Broekman, BF, Chan, YH, Chong, YS, et al. The influence of birth size on intelligence in healthy children. Pediatrics. 2009; 123, e1011e1016.Google Scholar
7.Eide, MG, Oyen, N, Skjaerven, R, et al. Associations of birth size, gestational age, and adult size with intellectual performance: evidence from a cohort of Norwegian men. Pediatr Res. 2007; 62, 636642.CrossRefGoogle ScholarPubMed
8.Bergvall, N, Iliadou, A, Johansson, S, et al. Risks for low intellectual performance related to being born small for gestational age are modified by gestational age. Pediatrics. 2006; 117, e460e467.Google Scholar
9.Martorell, R, Horta, BL, Adair, LS, et al. Consortium on health orientated research in transitional societies group. Weight gain in the first two years of life is an important predictor of schooling outcomes in pooled analyses from five birth cohorts from low- and middle-income countries. J Nutr. 2010; 140, 348354.Google Scholar
10.Ministry of Education, Chile. Results from SIMCE 2006: Chile, 2007. Retrieved 29 October 2010, from http://www.educarchile.cl/Portal.Base/Web/VerContenido.aspx?GUID=d866fd6f-4861-47d6-b72c-adc8079c96f2&ID=133443.Google Scholar
11.National Institute of Statistics, Chile. Vital Statistics Yearbook, 2008. Retrieved 29 October 2010, from http://www.ine.cl/canales/menu/publicaciones/calendario_de_publicaciones/pdf/21_12_10/vit_08211210.pdf.Google Scholar
12.Mardones, F, Marshall, G, Viviani, V, et al. Estimation of individual neonatal survival using birth weight and gestational age: a way to improve neonatal practice. J Health Popul Nutr. 2008; 26, 5463.Google Scholar
13.Mardones, F, Villarroel, L, Karzulovic, L, et al. Association of perinatal factors and obesity in 6- to 8-year-old Chilean children. Int J Epidemiol. 2008; 37, 902910.Google Scholar
14.Mardones, F, Urrutia, MT, Villarroel, L, et al. Effects of a dairy product fortified with multiple micronutrients and omega-3 fatty acids on birth weight and gestation duration in pregnant Chilean women. Public Health Nutr. 2008; 11, 3040.Google Scholar
15.Vegas, E, Petrow, J. Raising Student Learning in Latin America: The Challenge for the 21st Century, 2008. pp. 3363. The World Bank: Washington, DC.Google Scholar
16.Mardones, F, Velasco, N, Rozwski, J. Obesity, What Can We Do? (Obesidad Qué podemos hacer?, 2009. Ediciones Universidad Católica: Santiago.Google Scholar
17.Puffer, R, Serrano, C. Patterns of Birthweight. Scientific Publication No. 504, 1987. pp. 2024. PAHO/WHO: Washington, DC.Google Scholar
18.Räikkönen, K, Forsén, T, Henriksson, M, et al. Growth trajectories and intellectual abilities in young adulthood: The Helsinki Birth Cohort study. Am J Epidemiol. 2009; 170, 447455.Google Scholar
19.Thomson, AM, Barron, SL. Obstetrical Epidemiology, 1983. pp. 89142. Academic Press Inc.: New York.Google Scholar
20.Hocking, RR. Methods and Applications of Linear Model, 2nd edn, 2003. pp. 5059. Wiley: Hoboken, NJ.Google Scholar
21.Paredes, RD, Pinto, JI. Is public education finishing in Chile? (El fin de la educación pública en Chile?). Economy Studies Journal (Estudios de Economía, Chile). 2009; 36, 4766.Google Scholar
22.Ministry of Health, Chile. National Health Survey 2009–2010, 2012 (Encuesta Nacional de Salud 2009–2010). Retrieved 10 December 2012, from http://www.minsal.gob.cl/portal/url/item/bcb03d7bc28b64dfe040010165012d23.pdf.Google Scholar
23.Ministry of Planning, Chile, National Socio-Economic Survey (Encuesta Nacional CASEN 2009), 2009. Retrieved 10 December 2012, from http://www.ministeriodesarrollosocial.gob.cl/casen2009/casen_indigena_2009.pdf.Google Scholar
24.González, R, Gómez, R, Castro, R, et al. A national birth weight distribution curve according to gestational age in Chile from 1993 to 2000. Rev Méd Chile. 2004; 132, 11551165.Google Scholar
25.Overpeck, MD, Hediger, ML, Zhang, J, et al. Birth weight for gestational age of Mexican American infants born in the United States. Obstet Gynecol. 1999; 93, 943947.Google Scholar
26.Ministry of Health, Chile. National Survey of Nutrition and Health 2009–2010, 2011. Retrieved 7 July 2011, from http://www.minsal.gob.cl/portal/docs/page/minsalcl/g_home/submenu_portada_2011/ens2010.pdf.Google Scholar
27.Kramer, MS. Invited commentary: association between restricted fetal growth and adult chronic disease: is it causal? is it important? Am J Epidemiol. 2000; 152, 605608.Google Scholar
28.Torche, F, Echevarría, G. The effect of birthweight on childhood cognitive development in a middle-income country. Int J Epidemiol. 2011; 40, 10081018.Google Scholar
29.Christensen, K, Petersen, I, Skytthe, A, et al. Comparison of academic performance of twins and singletons in adolescence: follow-up study. BMJ. 2006; 333, 10951097.Google Scholar
30.Pearce, MS, Deary, IJ, Young, AH, et al. Growth in early life and childhood IQ at age 11 years: the Newcastle Thousand Families Study. Int J Epidemiol. 2005; 34, 673677.Google Scholar
31.Horwood, LJ, Fergusson, DM. Breastfeeding and later cognitive and academic outcomes. Pediatrics. 1998; 101, E9.Google Scholar
32.Yeh, SS. Shifting the bell curve: the benefits and costs of raising students’ achievement. Eval Program Plann. 2009; 32, 7482.Google Scholar
33.Victora, C. Nutrition in early life: a global priority. Lancet. 2009; 374, 11231125.Google Scholar
34.Uauy, R, Kain, J, Mericq, V, et al. Nutrition, child growth, and chronic disease prevention. Ann Med. 2008; 40, 1120.Google Scholar
35.Fall, CH, Sachdev, HS. Developmental origins of health and disease: implications for developing countries. In Developmental origins of health and disease (eds. Gluckman P, Hanson M), 2006; pp. 456471. Cambridge University Press: New York.Google Scholar