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BMC Public Health
Published in: BMC Public Health 1/2014

Open Access 01-12-2014 | Research article

Maternal education, anthropometric markers of malnutrition and cognitive function (ELSA-Brasil)

Authors: Larissa Fortunato Araújo, Luana Giatti, Dora Chor, Valéria Maria Azeredo Passos, Sandhi Maria Barreto

Published in: BMC Public Health | Issue 1/2014

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Abstract

Background

The early exposure to poor social and nutritional conditions may influence cognitive function during adult age. However, the relative impact of these factors has not yet been established and they can vary during the course of life.

Methods

Analysis of data from 12,997 participants (35-64 years) of the baseline exams (2008-2010) of the Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of Brazilian civil servants. Four cognitive tests were applied: learning, recall and word recognition; semantic and phonemic verbal fluency; trail-making test version B. The markers of early nutritional and social conditions were maternal educational level, birth weight, and length of trunk and leg. The presence of independent association between every early marker and the poor performance in each cognitive test was investigated by multiple logistic regression, after mutual adjustment and considering the effects of gender, age and participant’s schooling level. The cut off for poor performance was the worst age-specific percentile of the final score distribution for each test.

Results

After full adjustments, lower maternal education increased the chances of poor performance in all cognitive tests, with a dose-response gradient; low birth-weight was related to poor performance in the trail-making test B (OR = 1.63, 95% IC = 1.29-2.06); and greater trunk length decreased the chances of poor performance in the semantic and phonemic verbal fluency (OR = 0.96, 95% IC = 0.94-0.97) and in the trail-making test B (OR = 0.94, 95% IC = 0.92-0.95). Leg length was not associated with any of the tests examined. The associations found were not modified by the educational attainment of the participants.

Conclusions

Early exposure to adverse social and nutritional conditions appear detrimental to semantic memory, learning, concentration, executive control and language among adults, independent of adulthood educational achievement.
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Literature
1.
Sliwinski MJ, Hofer SM, Hall C, Buschke H, Lipton RB: Modelling memory decline in older adults: the importance of preclinical dementia, attrition, and chronological age. Psychol Aging. 2003, 18: 658-671.CrossRefPubMed
2.
Steinerman JR, Hall CB, Sliwinski MJ, Lipton RB: Modelling cognitive trajectories within longitudinal studies: a focus on older adults. J Am Geriatr Soc. 2010, 58 (2): 313-318.CrossRef
3.
Hackman DA, Farah MJ, Meaney MJ: Socioeconomic status and the brain: mechanistic insights from human and animal research. Nat Rev Neurosci. 2010, 11 (9): 651-659.CrossRefPubMedPubMedCentral
4.
Singh-Manoux A, Richards M, Marmot M: Socioeconomic position across the life course: how does it relate to cognitive function in mid-life?. Ann Epidemiol. 2005, 15: 572-578.CrossRefPubMed
5.
Hazzouri AZ, Haan MN, Galea S, Aiello AE: Life-Course Exposure to Early Socioeconomic Environment, Education in Relation to Late-Life Cognitive Function Among Older Mexicans and Mexican Americans. J Aging Health. 2011, 23 (7): 1027-1049.CrossRefPubMedPubMedCentral
6.
Brunner EJ: Social and biological determinants of cognitive aging. Neurobiol Aging. 2005, 26: 17-20.CrossRefPubMed
7.
Kaplan GA, Turrell G, Lynch JW, Everson SA, Helkala EL, Salonen JT: Childhood socioeconomic position and cognitive function in adulthood. Int J Epidemiol. 2001, 30: 256-263.CrossRefPubMed
8.
Melrose RJ, Brewster P, Marquine MJ, Mackay Brandt A, Reed BT, Farias S, Mungas D: Early Life Development in a Multiethnic Sample and the Relation to Late Life Cognition. J Gerontol B Psychol Sci Soc Sci. 2013, doi:10.1093/geronb/gbt126
9.
Victora CG, Adair L, Fall C: Maternal and child under nutrition for adult health and human capital. Lancet. 2008, 371 (9609): 302-02.CrossRef
10.
Monk C, Georgieffc MK, Osterholm EA: Maternal prenatal distress and poor nutrition – mutually influencing risk factors affecting infant neurocognitive development. J Child Psychol Psychiatry. 2013, 54 (2): 115-130.CrossRefPubMed
11.
Torche CF, Echevarrıa G: The effect of birth weight on childhood cognitive development in a middle-income. Int J Epidemiol. 2011, 40: 1008-1018.CrossRefPubMed
12.
Mak Z, Kim JM, Stewart R: Leg length, cognitive impairment and cognitive decline in an African-Caribbean population. Int J Geriatr Psychiatry. 2006, 21: 266-272.CrossRefPubMed
13.
Abbott R, White L, Ross G, Petrovich H, Masaki K, Snowdon D, Curb J: Height as a marker of childhood development and late-life cognitive function: the Honolulu-Asia aging study. Pediatrics. 1998, 102: 602-609.CrossRefPubMed
14.
Schnaider Beeri M, Davidson M, Silverman J, Noy S, Schmeidler J, Goldbourt U: Relationship between body height and dementia. Am J Geriatr Psychiatr. 2005, 13: 116-123.CrossRef
15.
Case A, Paxson C: Height, health and cognitive function at older ages. Am Econ Rev Pap Proc. 2008, 98: 463-467.CrossRef
16.
Glymour MM, Manly JJ: Life course Social Conditions and Racial and Ethnic Patterns of Cognitive Aging. Neuropsychol Rev. 2008, 18: 223-254.CrossRefPubMed
17.
Farah MJ, Betancourt L, Shera DM, Savage JH, Giannetta JM, Brodsky NL, Malmud EK, Hurt H: Environmental stimulation, parental nurturance and cognitive development in humans. Dev Sci. 2008, 11 (5): 793-801.CrossRefPubMed
18.
Wilson RS, Hebert LE, Scherr PA, Barnes LL, Mendes De Leon CF, Evans DA: Educational attainment and cognitive decline in old age. Neurology. 2009, 72 (3): 460-465.CrossRefPubMedPubMedCentral
19.
Bloom DE, Canning D, Fink G: Implications of population ageing for economic growth. Oxf Rev Econ Policy. 2010, 26 (4): 583-612.CrossRef
20.
21.
Lupu DS, Tint D, Niculescu MD: Perinatal Epigenetic Determinants of Cognitive and Metabolic Disorders. Ageing Dis. 2012, 3 (5): 444-453.
22.
Ferri CP, Prince M, Brayne C, Brodaty H, Fratiglioni L, Ganguli M, Hall K, Hasegawa K, Hendrie H, Huang Y, Jorm A, Mathers C, Menezes PR, Rimmer E, Scazufca M: Global prevalence of dementia: a Delphi consensus study. Lancet. 2005, 366: 2112-2117.CrossRefPubMedPubMedCentral
23.
Maurer J: Height, education and later-life cognition in Latin America and the Caribbean. Econ Hum Biol. 2010, 8: 168-176.CrossRefPubMed
24.
25.
Aquino EML, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, Lotufo PA, Mill JG, Molina MDC, Mota ELA, Passos VMAP, Schmidt MI, Szklo M: Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): Objectives and Design. Am J Epidemiol. 2012, doi:10.1093/aje/kwr294
26.
Schmidt MI, Duncan BB, Mill JG, Lotufo PA, Chor D, Barreto SM, Aquino EML, Passos VMA, Matos SMM, Molina MDCB, Carvalho MS, Bensenor IM: Cohort Profile: Longitudinal Study of Adult Health (ELSA-Brasil). Int J Epidemiol. 2014, doi:10.1093/ije/dyu027
27.
Bertolucci PHF, Okamoto IH, Toniolo-Neto J, Ramos LR, Brucki SMD: Desempenho da população brasileira na bateria neuropsicológica do Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Revista Psiquiatria Clínica. 1998, 25 (2): 80-83.
28.
Lezak MD, Howieson DB, Loring DW: Neuropsychological Assessment. 2004, New York, NY: Oxford University Press, 4
29.
Batista JA, Giatti L, Barreto SM, Passos VMA: Confiabilidade dos testes da bateria de função cognitiva do Estudo Longitudinal de Saúde do Adulto-Brasil. Article Submitted. 2013, 1: 1-12.
30.
Wadsworth ME, Hardy RJ, Paul AA, Marshall SF, Cole TJ: Leg and trunk length at 43 years in relation to childhood health, diet and family circumstances; evidence from the 1946 national birth cohort. Int J Epidemiol. 2002, 31: 383-390.CrossRefPubMed
31.
Rubim BD: Multiple imputation for non-response in surveys. 1987, New York: WileyCrossRef
32.
Buren SV: Groothuis-Oudshoorn K: mice: Multivariate Imputation by Chained Equations in R. J Stat Softw. 2011, 45 (3): 1-67.CrossRef
33.
Kuh D, Ben-Shlomo Y: A life course approach to chronic disease epidemiology. 1997, New York, NY: Oxford University Press
34.
Zhao JH, Brunner EJ, Kumari M, Singh-Manoux A, Hawe E, Talmud PJ, Marmot MG, Humphries SE: APOE polymorphism, socioeconomic status and cognitive function in midlife: the Whitehall II longitudinal study. Soc Psychiatry Psychiatry Epidemiol. 2005, 40: 557-563.CrossRef
35.
Anstey KJ, Luszcz MA, Giles LC, Andrews GR: Demographic, health, cognitive, and sensory variables as predictors of mortality in very old adults. Psychol Aging. 2001, 16: 3-11.CrossRefPubMed
36.
Turrell G, Lynch JW, Kaplan GA, Everson SA, Helkala E-L, Kauhanen J, Salonen JT: Socioeconomic position across the life course and cognitive function in late middle age. J Gerontol B Psychol Sci Soc Sci. 2002, 57: 43-51.CrossRef
37.
Rogers MAM, Plassman BL, Kabeto M, Fisher GG, McArdle JJ, Llewllyn DJ, Langa KM: Parental Education and Late-life Dementia in the United States. J Geriatr Psychiatry Neurol. 2009, 22 (1): 71-80.CrossRefPubMed
38.
Shmueli A, Cullen MR: Birth Weight, Maternal Age, and Education: New Observations from Connecticut and Virginia. Yale J Biol Med. 1999, 72: 245-258.PubMedPubMedCentral
39.
Victora CG, Huttly SR, Barros FC, Lombardi C, Vaughan P: Maternal education in relation to early and late child health outcomes: findings from a Brazilian cohort study. Soc Sci Med. 1992, 34 (8): 899-905.CrossRefPubMed
40.
Dubow EF, Boxer P, Huesmann LR: Long-term Effects of Parents’ Education on Children’s Educational and Occupational Success: Mediation by Family Interactions, Child Aggression, and Teenage Aspirations. Merrill Palmer Q (Wayne State Univ Press). 2009, 55 (3): 224-249.CrossRef
41.
Jefferson AL, Gibbons LE, Rentz DM, Carvalho JO, Manly J, Bennett DA, Jones RN: A Life Course Model of Cognitive Activities, Socioeconomic Status, Education, Reading Ability, and Cognition. J Am Geriatr Soc. 2011, 59 (8): 1403-1124.CrossRefPubMedPubMedCentral
42.
43.
Clair-Thompson HL, Gathercole SE: Executive functions and achievements in school: shifting, updating, inhibition, and working memory. Q J Exp Psychol (Colch). 2006, 59 (4): 745-749.CrossRef
44.
Raikkonen K, Kajantie E, Pesonen A-K, Heinonen K, Alastalo H, Leskinen JT, Nyman K, Henriksson M, Lahti J, Lahti M, Pyhala R, Tovinen S, Osmond C, Barker DJP, Eriksson JG: Early life Origins Cognitive Decline: Findings in Elderly Men in the Helsinki Birth Cohort Study. PLoS One. 2013, 8 (1): e54707-doi:10.1371/journal.pone.0054707CrossRefPubMedPubMedCentral
45.
Bogin B, Varela-Silva MI: Leg Length, Body Proportion, and Health: A Review with a Note on Beauty. Int J Environ Res Public Health. 2010, 7 (3): 1047-1075.CrossRefPubMedPubMedCentral
46.
Gigante DP, Nazmi A, Lima RC, Barros FC, Victora CG: Epidemiology of early and late growth in height, leg and trunk length: findings from a birth cohort of Brazilian males. Eur J Clin Nutr. 2009, 63 (3): 375-381.CrossRefPubMed
47.
Quan SA, Jeong JY, Kim DH: The Relationship between Height and Cognitive Function among Community-dwelling Elderly: Hallym Aging Study. Epidemiol Health. 2013, doi:10.4178/epih/e2013002
48.
Laitala VS, Hjelmborg J, Koskenvuo M, Räihä I, Rinne JO, Christensen K, Kaprio J, Silventoinen K: Shorter adult stature increases the impact of risk factors for cognitive impairment: a comparison of two Nordic twin cohorts. Twin Res Hum Genet. 2011, 14 (6): 544-552.CrossRefPubMedPubMedCentral
49.
Heys M, Schooling M, Jiang C, Adad P, Cheng KK, Lam TH, Leung GM: Childhood growth and adulthood cognition in a rapidly developing population. Epidemiology. 2009, 20: 91-99.CrossRefPubMed
50.
Li L, Dangour AD, Power C: Early life influences on adult leg and trunk length in the 1958 British birth cohort. Am J Hum Biol. 2007, 19 (6): 836-843.CrossRefPubMed
51.
Barros RP, Henriques R, Mendonça R: Texto para discussão 857. Pelo fim das décadas perdidas: Educação e desenvolvimento sustentado no Brasil. 2002, Destrito Federal, DF: Ministério do Planejamento, Orçamento e Gestão
52.
Monteiro CA, Benicio MH, Iunes R, Gouveia NC, Taddei JA, Cardoso MA: Nutritional status of Brazilian children: trends from 1975 to 1989. Bull World Health Organ. 1992, 70 (5): 657-666.PubMedPubMedCentral
53.
Santos IS, Griep RH, Alves MG, Goulart AC, Lotufo PA, Barreto SM, Chor D, Benseñor IM: Job stress is associated with migraine in current workers: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Eur J Pain. 2014, doi:10.1002/j.1532-2149.2014.489.x
54.
Mueller NT, Duncan BB, Barreto SM, Chor D, Bessel M, Aquino EM, Pereira MA, Schmidt M: Earlier age at menarche is associated with higher diabetes risk and cardiometabolic disease risk factors in Brazilian adults: Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Cardiovasc Diabetol. 2014, 16: 13-22.
55.
56.
Richiardi L, Pizzi C, Pearce N: Commentary: Representativeness is usually not necessary and often should be avoided. Int J Epidemiol. 2013, 42 (4): 1018-1022.CrossRefPubMed
57.
Donders AR, van der Heijden GJ, Stijnen T, Moons KG: Review: a gentle introduction to imputation of missing values. J Clin Epidemiol. 2006, 59 (10): 1087-1091.CrossRefPubMed
Metadata
Title
Maternal education, anthropometric markers of malnutrition and cognitive function (ELSA-Brasil)
Authors
Larissa Fortunato Araújo
Luana Giatti
Dora Chor
Valéria Maria Azeredo Passos
Sandhi Maria Barreto
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2014
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-14-673

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