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Developmental potential in the first 5 years for children in developing countries [1]
['Sally Grantham-Mcgregor', 'S.Mcgregor Ich.Ucl.Ac.Uk', 'Centre For International Child Health', 'Institute Of Child Health', 'University College London', 'Yin Bun Cheung', 'London School Of Tropical Medicine', 'Hygiene', 'Santiago Cueto', 'Group For The Analyses Of Development']
Date: 2022-10
2. Maitra P Effect of socioeconomic characteristics on age at marriage and total fertility in Nepal. J Health Pop Nutr. 22 : 84-96 View in Article PubMed
Google Scholar
3. Lam D
Duryea S Effects of schooling on fertility, labor supply, and investments in children, with evidence from Brazil. J Hum Res. 34 : 160-192 View in Article Scopus (103)
Crossref
Google Scholar
4. Frankenberg E
Mason W Maternal education and health-related behaviors: a preliminary analysis of the 1993 Indonesian Family Life Survey. J Pop. 1 : 21-44 View in Article Google Scholar
5. Hatt LE
Waters HR Determinants of child morbidity in Latin America: a pooled analysis of interactions between parental education and economic status. Soc Sci Med. 62 : 375-386 View in Article Scopus (78)
PubMed
Crossref
Google Scholar
6. Psacharopoulos G The determinants of early age human capital formation: evidence from Brazil. Econ Dev Cult Change. 37 : 683-708 View in Article Scopus (45)
Crossref
Google Scholar
7. Rosenzweig MR
Wolpin KI Are there increasing returns to the intergenerational production of human capital—maternal schooling and child intellectual achievement. J Hum Res. 29 : 670-693 View in Article Crossref
Google Scholar
8. UN Road map toward the implementation of the United Nations Millennium Declaration. United Nations , New York ( ) View in Article Google Scholar
10. Wachs TD Necessary but not sufficient: the respective roles of single and multiple influences on individual development. American Psychological Association , Washington DC View in Article Crossref
Google Scholar
13. Mistry RS
Biesanz JC
Taylor LC
Burchinal M
Cox MJ Family income and its relation to preschool children's adjustment for families in the NICHD study of early child care. Dev Psychol. 40 : 727-745 View in Article Scopus (152)
PubMed
Crossref
Google Scholar
14. NICHD Early Child Care Research Network Before Head Start: income and ethnicity, family characteristics, child care experiences and child development. Early Educ Dev. 12 : 545-576 View in Article Scopus (37)
Crossref
Google Scholar
16. Committee on Integrating the Science of Child Development From neurons to neighborhoods: the science of child development. National Academy Press , Washington DC View in Article Google Scholar
18. Black J
Jones T
Nelson C
Greenough W Neuronal plasticity and the developing brain. Handbook of child and adolescent psychiatry. vol 1. Wiley , New York : 31-53 View in Article Google Scholar
19. Liu D
Diorio J
Day J
Francis D
Meaney M Maternal care, hippocampal synaptogenesis and cognitive development in rats. Nat Neurosci. 3 : 799-806 View in Article Scopus (890)
PubMed
Crossref
Google Scholar
21. Morgan R
Garavan H
Smith E
Driscoll L
Levitsky D
Strupp B Early lead exposure produces lasting changes in sustained attention, response initiation, and reactivity to errors. Neurotoxicol Teratol. 23 : 519-531 View in Article Scopus (42)
PubMed
Crossref
Google Scholar
22. Rodier P Environmental causes of central nervous system maldevelopment. Pediatrics. 113 : 1076-1083 View in Article PubMed
Google Scholar
24. Wilson MA
Johnston MV
Goldstein GW
Blue ME Neonatal lead exposure impairs development of rodent barrel field cortex. PNAS. 97 : 5540-5545 View in Article Scopus (82)
PubMed
Crossref
Google Scholar
25. Gunnar M. Stress, nurture and the young brain. Concepts of care: twenty brief papers that point the way toward quality care for infants and toddlers. San Francisco: West Ed (in press). View in Article Google Scholar
26. Bredy T
Humpartzoomian R
Cain D
Meaney M Partial reversal of the effect of maternal care on cognitive function through environmental enrichment. Neurosci. 118 : 571-576 View in Article Scopus (210)
PubMed
Crossref
Google Scholar
28. Rutter M
O'Connor T
English and Romanian Adoptees (ERA) Study Team Are there biological programming effects for psychological development? Findings from a study of Romanian adoptees. Dev Psychol. 40 : 81-94 View in Article Scopus (322)
PubMed
Crossref
Google Scholar
29. Currie J
Thomas D Early test scores, socioeconomic status and future outcomes. National Bureau of Economic Research , Cambridge ( ) View in Article Crossref
Google Scholar
30. Pianta RC
McCoy SJ The first day of school: the predictive validity of early school screening. J Appl Dev Psychol. 18 : 1-22 View in Article Scopus (59)
Crossref
Google Scholar
31. Feinstein L Inequality in the early cognitive development of children in the 1970 cohort. Economica. 70 : 73-97 View in Article Scopus (384)
Crossref
Google Scholar
32. Stith AY
Gorman KS
Choudhury N The effects of psychosocial risk and gender on school attainment in Guatemala. Appl Psychol. 52 : 614-629 View in Article Scopus (17)
Crossref
Google Scholar
33. Gorman KS
Pollitt E Does schooling buffer the effects of early risk?. Child Dev. 67 : 314-326 View in Article PubMed
Crossref
Google Scholar
34. Liddell C
Rae G Predicting early grade retention: A longitudinal investigation of primary school progress in a sample of rural South African children. Br J Educ Psychol. 71 : 413-428 View in Article Scopus (49)
PubMed
Crossref
Google Scholar
35. Daniels MC
Adair LS Growth in young Filipino children predicts schooling trajectories through high school. J Nutr. 134 : 1439-1446 View in Article PubMed
Google Scholar
36. Mendez MA
Adair LS Severity and timing of stunting in the first two years of life affect performance on cognitive tests in late childhood. J Nutr. 129 : 1555-1562 View in Article PubMed
Google Scholar
38. Victora CG
Barros FC
Lima RC
et al. The Pelotas birth cohort study, Rio Grande do Sul, Brazil, 1982–2001. Cad Saude Publica, Rio de Janeiro. : 1241-1256 View in Article Scopus (96)
PubMed
Crossref
Google Scholar
39. Victora MD
Victora CG
Barros FC Cross-cultural differences in developmental rates: a comparison between British and Brazilian children. Child Care Health Dev. 16 : 151-164 View in Article Scopus (21)
PubMed
Crossref
Google Scholar
40. Filmer D
Pritchett LH Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India. Demography. 38 : 115-132 View in Article PubMed
Crossref
Google Scholar
41. Pollitt E
Gorman KS
Engle PL
Martorell R
Rivera J Early supplementary feeding and cognition. Mon Soc Child Dev. 58 View in Article Google Scholar
44. UNESCO EFA Global Monitoring Report 2005. UNESCO , Paris, France View in Article Google Scholar
45. Gonzalez P
Guzman JC
Partelow L
et al. Highlights from the trends in international mathematics and science study TIMSS 2003. US Department of Education , Washington DC View in Article Google Scholar
46. Byamugisha A
Ssenabulya F The SACMEQ II project in Uganda: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
47. Chimombo J
Kunje D
Chimuzu T
Mchikoma C The SACMEQ II project in Malawi: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
48. Keitheile M
Mokubung M The SACMEQ II project in Botswana: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
49. Kulpoo D
Soonarane M The SACMEQ II project in Mauritius: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
50. Makuwa D The SACMEQ II project in Namibia: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
51. Moloi M
Strauss J The SACMEQ II project in South Africa: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
52. Mothibeli A
Maema M The SACMEQ II project in Lesotho: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
53. Mrutu AS
Ponera GE
Nkumbi EM The SACMEQ II project in Tanzania: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
54. Nassor SM
Abdalla MS
Salim MM
Said O The SACMEQ II project in Zanzibar: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
55. Onsomu E
Nzomo J
Obiero C The SACMEQ II project in Kenya: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
56. Passos A
Nahara T
Magaza F
Lauchande C The SACMEQ II project in Mozambique: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
57. Shabalala J The SACMEQ II project in Swaziland: a study of the conditions of schooling and the quality of education. SACMEQ , Harare, Zimbabwe View in Article Google Scholar
58. Hamill PV
Drizd TA
Johnson CL
Reed RB
Roche AF NCHS growth curves for children birth–18 years. United States. Vital Health Stat. 11 : 1-74 View in Article Google Scholar
59. Bhandari N
Bahl R
Taneja S
de Onis M
Bhan MK Growth performance of affluent Indian children is similar to that in developed countries. Bull World Health Organ. 80 : 189-195 View in Article PubMed
Google Scholar
60. WHO Multicentre Growth Reference Study Group Assessment of differences in linear growth among populations in the WHO Multicentre Growth Reference Study. Acta Paediatr Suppl. 450 : 56-65 View in Article PubMed
Google Scholar
61. Shrimpton R
Victoria CG
de Onis M
Lima RC
Blossner M
Clugston G Worldwide timing of growth faltering: implications for nutritional interventions. Pediatrics. 107 : e75 View in Article Scopus (418)
PubMed
Crossref
Google Scholar
62. Martorell R
Schroeder DG
Rivera JA
Kaplowitz HJ Patterns of linear growth in rural Guatemalan adolescents and children. J Nutr. 125 : S1060-S1067 View in Article PubMed
Google Scholar
63. Adair LS Filipino children exhibit catch-up growth from age 2 to 12 years. J Nutr. 129 : 1140-1148 View in Article PubMed
Google Scholar
65. Gordon G
Nandy S
Pantazis C
Pemberton S
Townsend P Child poverty in the developing world. The Policy Press , Bristol, UK View in Article Google Scholar
66. World Bank, World development indicators 2005. World Bank, 2005. View in Article Google Scholar
67. Chronic Poverty Research Centre Chronic poverty report 2004–05. University of Manchester , Manchester, UK View in Article Google Scholar
68. Hamadani JD, Grantham-McGregor SM. Report of the family care indicators project: Validating the family psychosocial indicators in rural Bangladesh. Report to UNICEF Early Child Development Desk, 2004. View in Article Google Scholar
69. Baker-Henningham H
Powell C
Walker S
Grantham-McGregor S Mothers of undernourished Jamaican children have poorer psychosocial functioning and this is associated with stimulation provided in the home. Eur J Clin Nutr. 57 : 786-792 View in Article Scopus (51)
PubMed
Crossref
Google Scholar
70. Schady N
Paxson C Cognitive development among young children in Ecuador: the roles of health, wealth and parenting. World Bank Policy Research Working Paper 3605, May, 2005. World Bank , Washington DC View in Article Google Scholar
71. Richter L
Griesel R
De Wet T Growing up and going to school: Birth to Ten, children's cognitive and social competence at school entry. in: Richter L A view of school: preparation for and adjustment to school under rapidly changing social conditions. The Goethe Institute , Johannesburg View in Article Google Scholar
72. Espy KA
Molfese VJ
DiLalla LF Effects of environmental measures on intelligence in young children: growth curve modeling of longitudinal data. Merrill-Palmer Quart. 47 : 42-73 View in Article Scopus (52)
Crossref
Google Scholar
73. Walker SP
Grantham-McGregor SM Growth and development of West Indian children. Part 2: development. West Indian Med J. 39 : 12-19 View in Article PubMed
Google Scholar
74. Lozoff B
Teal SJL Longitudinal analysis of cognitive and motor effects of iron deficiency in infancy. Pediatr Res. 55 : 23A View in Article Google Scholar
75. UNICEF State of the world's children 2006. UNICEF , New York View in Article Google Scholar
76. WHO Global database on child growth and malnutrition. World Health Organization.
http://www.who.int/nutgrowthdb/database/en/ Date: 2006 View in Article Google Scholar
77. Beasley NMR
Hall A
Tomkins AM
et al. The health of enrolled and non enrolled children of school age in Tanga, Tanzania. Acta Trop. 76 : 223-229 View in Article Scopus (35)
PubMed
Crossref
Google Scholar
78. Moock PR
Leslie J Childhood malnutrition and schooling in the Terai region of Nepal. J Dev Econ. 20 : 33-52 View in Article Scopus (101)
Crossref
Google Scholar
79. Brooker S
Hall A
Bundy DAP
et al. Short stature and the age of enrolment in primary school: studies in two African countries. Soc Sci Med. 48 : 675-682 View in Article Scopus (40)
PubMed
Crossref
Google Scholar
81. Clarke N
Grantham-McGregor S
Powell C Health and nutrition predictors of school failure in Kingston, Jamaica. Ecol Food Nutr. 26 : 1-11 View in Article Google Scholar
82. Hutchinson SE
Powell CA
Walker SP
Chang SM
Grantham-McGregor SM Nutrition, anaemia, geohelminth infection and school achievement in rural Jamaican primary school children. Eur J Clin Nutr. 51 : 729-735 View in Article Scopus (47)
PubMed
Crossref
Google Scholar
83. Agarwal DK, Upadhyay SK, Tripathi AM, Agarwal KN. Nutritional status, physical work capacity and mental function in school children. Nutritional Foundation of India, 1987. Scientific Report No. 6. View in Article Google Scholar
84. Florencio C Nutrition, health and other determinants of academic achievement and school-related behavior of grades one to six pupils. University of the Philippines , Quezan City, Philippines View in Article Google Scholar
85. Steegmann AT
Datar FA
Steegmann RM Physical size, school performance and visual-motor maturity in the Philippines. Am J Hum Biol. 4 : 247-252 View in Article Scopus (4)
Crossref
Google Scholar
86. Glewwe P
Jacoby HG
King EM Early childhood nutrition and academic achievement: a longitudinal analysis. J Public Econ. 81 : 345-368 View in Article Scopus (290)
Crossref
Google Scholar
87. Shariff ZM
Bond JT
Johnson NE Nutrition and educational achievement of urban primary schoolchildren in Malaysia. Asia Pacific J Clin Nutr. 9 : 264-273 View in Article Scopus (35)
PubMed
Crossref
Google Scholar
88. Partnership for Child Development An association between chronic undernutrtition and educational test scores in Vietnamese children. Eur J Clin Nutr. 55 : 801-804 View in Article Scopus (42)
PubMed
Crossref
Google Scholar
90. Ozmert EN
Yurdakok K
Soysal S
et al. Relationship between physical, environmental and sociodemographic factors and school performance in primary schoolchildren. J Trop Pediatr. 51 : 25-32 View in Article Scopus (22)
PubMed
Crossref
Google Scholar
91. Bogin B
Macvean RB The relationship of socioeconomic-status and sex to body size, skeletal maturation, and cognitive status of Guatemala City schoolchildren. Child Dev. 54 : 115-128 View in Article PubMed
Crossref
Google Scholar
92. Sigman M
Neumann C
Jansen AA
Bwibo N Cognitive abilities of Kenyan children in relation to nutrition, family characteristics, and education. Child Dev. 60 : 1463-1474 View in Article PubMed
Crossref
Google Scholar
93. Johnston FE
Low SM
de Baessa Y
Macvean RB Interaction of nutritional and socioeconomic status as determinants of cognitive development in disadvantaged urban Guatemalan children. Am J Phys Anthropol. 73 : 501-506 View in Article Scopus (57)
PubMed
Crossref
Google Scholar
94. Webb KE
Horton NJ
Katz DL Parental IQ and cognitive development of malnourished Indonesian children. Euro J Clin Nutr. 59 : 618-620 View in Article Scopus (12)
PubMed
Crossref
Google Scholar
95. Young Lives Justification of the content of the 7·5–8·5 year old questionnaire. Young Lives: an international study of childhood poverty.
http://www.younglives.org.uk/ Date: 2002 View in Article Google Scholar
97. Cueto S Height, weight, and education achievement in rural Peru. Food Nutr Bull. 26 : S251-S260 View in Article PubMed
Google Scholar
98. Glewwe P
Jacoby H An economic analysis of delayed primary school enrollment in a low income country: the role of early childhood nutrition. Rev Econ Stat. 77 : 156-169 View in Article Scopus (161)
Crossref
Google Scholar
100. Lasky RE
Klein RE
Yarbrough C
Engle PL
Lechtig A
Martorell R The relationship between physical growth and infant behavioral development in rural Guatemala. Child Dev. 52 : 219-226 View in Article PubMed
Crossref
Google Scholar
101. Powell CA
Grantham-Mcgregor S The ecology of nutritional status and development in young children in Kingston, Jamaica. Am J Clin Nutr. 41 : 1322-1331 View in Article PubMed
Google Scholar
102. Monckeberg F Malnutrition and mental capacity. in: Organization PAH Nutrition, the nervous system and behaviour, Scientific Publication No 251. PAHO , Washington DC : 48-54 View in Article Google Scholar
104. Kariger PK
Stoltzfus RJ
Olney D
et al. Iron deficiency and physical growth predict attainment of walking but not crawling in poorly nourished Zanzibari infants. J Nutr. 135 : 814-819 View in Article PubMed
Google Scholar
105. Siegel EH
Stoltzfus RJ
Kariger PK
et al. Growth indices, anemia, and diet independently predict motor milestone acquisition of infants in South Central Nepal. J Nutr. 135 : 2840-2844 View in Article PubMed
Google Scholar
106. Bhargava A Modeling the effects of maternal nutritional status and socioeconomic variables on the anthropometric and psychological indicators of Kenyan infants from age 0–6 months. Am J Phys Anthropol. 111 : 89-104 View in Article Scopus (43)
PubMed
Crossref
Google Scholar
107. Vazir S
Naidu AN
Vidyasagar P Nutritional status, psychosocial development and the home environment of Indian rural children. Indian Pediatr. 35 : 959-966 View in Article PubMed
Google Scholar
108. Drewett R
Wolke D
Asefa M
Kaba M
Tessema F Malnutrition and mental development: is there a sensitive period? A nested case-control study. J Child Psychol Psychiatr. 42 : 181-187 View in Article PubMed
Crossref
Google Scholar
109. Hamadani JD
Fuchs GJ
Osendarp SJ
Khatun F
Huda SN
Grantham-McGregor SM Randomized controlled trial of the effect of zinc supplementation on the mental development of Bangladeshi infants. Am J Clin Nutr. 74 : 381-386 View in Article PubMed
Google Scholar
111. Cheung YB
Yip PSF
Karlberg JPE Fetal growth, early postnatal growth and motor development in Pakistani infants. Int J Epidemiol. 30 : 66-72 View in Article Scopus (60)
PubMed
Crossref
Google Scholar
112. Kuklina EV
Ramakrishnan U
Stein AD
Barnhart HH
Martorell R Growth and diet quality are associated with the attainment of walking in rural Guatemalan infants. J Nutr. 134 : 3296-3300 View in Article PubMed
Google Scholar
114. Martorell R
Rivera J
Kaplowitz J
Pollitt E Long term consequences of growth retardation during early childhood. in: Hernandez M Argenta J Human growth: basic and clinical aspects. Elsevier , Amsterdam : 143-149 View in Article Google Scholar
115. Behrman JR, Hoddinott J, Maluccio JA, et al. What determines adult cognitive skills? Impacts of pre-school, schooling and post-school experiences in Guatemala. 2005. Working draft October 2005. View in Article Google Scholar
117. Richter LM
Yach D
Cameron N
Griesel RD
De Wet T Enrolment into Birth to Ten (BTT): population and sample characteristics. Paediatr Perinat Epidemiol. 9 : 109-120 View in Article Scopus (66)
PubMed
Crossref
Google Scholar
118. Wechsler D Wechsler adult intelligence scale manual. Psychological Corporation , New York View in Article Google Scholar
119. Wechsler D Wechsler Intelligence Scales for Children-Revised. The Psychological Corporation, Harcourt Brace Jovanovich Inc , San Antonio View in Article Google Scholar
120. Raven J
Raven J
Court J Coloured Progressive Matrices. Information Press , Oxford View in Article Google Scholar
121. Alderman H
Behrman JR
Khan S
Ross DR
Sabot R The income gap in cognitive skills in rural Pakistan. Econ Dev Cult Change. 46 : 97-122 View in Article Scopus (29)
Crossref
Google Scholar
122. Behrman JR
Knowles JC Household income and child schooling in Vietnam. World Bank Econ Rev. 13 : 211-256 View in Article Scopus (134)
Crossref
Google Scholar
123. Filmer D
Pritchett L The effect of household wealth on educational attainment: evidence from 35 countries. Pop Dev Rev. 25 : 85-120 View in Article Scopus (455)
Crossref
Google Scholar
124. Aldaz-Carroll E
Moran R Escaping the poverty trap in Latin America: the role of family factors. Cuadernos Econom. 38 : 155-190 View in Article Crossref
Google Scholar
125. Baker-Henningham H
Walker S
Chang-Lopez S Special education needs study: end of phase 1 report. Department of Educational Studies/Office of the Principal, University of the West Indies , Kingston, Jamaica View in Article Google Scholar
126. Kirksey A
Wachs TD
Srinath U
et al. Relation of maternal zinc nutrition to pregnancy outcome and early infant development in an Egyptian village. Am J Clin Nutr. 60 : 782-792 View in Article PubMed
Google Scholar
127. Lima MC
Eickmann SH
Lima ACV
et al. Determinants of mental and motor development at 12 months in a low income population: a cohort study in northeast Brazil. Acta Paediatr. 93 : 969-975 View in Article Scopus (33)
PubMed
Crossref
Google Scholar
128. Black MM
Sazawal S
Black RE
Khosla S
Kumar J
Menon V Cognitive and motor development among small for gestational age infants: impact of zinc supplementation, birth weight, and caregiving practices. Pediatr. 113 : 1297-1305 View in Article Scopus (91)
PubMed
Crossref
Google Scholar
129. Basilio CS
Puccini RF
da Silva EMK
Pedromônico MRM Living conditions and receptive vocabulary of children aged two to five years. Rev Saude Publica. 39 : 725-730 View in Article PubMed
Crossref
Google Scholar
130. Sigman M
McDonald MA
Neumann C
Bwibo N Prediction of cognitive competence in Kenyan children from toddler nutrition, family characteristics and abilities. J Child Psychol Psychiat. 32 : 307-320 View in Article Scopus (58)
PubMed
Crossref
Google Scholar
131. Stein AD
Behrman JR
DiGirolamo A
et al. Schooling, educational achievement and cognitive functioning among young Guatemalan adults. Food Nutr Bull. 26 : S46-S54 View in Article PubMed
Google Scholar
132. Chen S
Ravallion M How have the world's poorest fared since the early 1980s? World Bank Policy Research Working Paper (WPS 3341). World Bank , Washington View in Article Crossref
Google Scholar
133. de Onis M
Blossner M
Borghi E
Morris R
Frongillo EA Methodology for estimating regional and global trends of child malnutrition. Int J Epidemiol. 33 : 1260-1270 View in Article Scopus (96)
PubMed
Crossref
Google Scholar
135. de Onis M
Onyango A
Borghi E
Siyam A
Pinol A WHO child growth standards: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: methods and development. World Health Organization , Geneva View in Article Google Scholar
136. WHO International statistical classification of diseases and related health problems, 10th revision, version for 2006. World Health Organization.
http://www3.who/int/icd/currentversion/fr-icd.htm Date: 2006 View in Article Google Scholar
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