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Early nutrition, growth and cognitive development of infants from birth to 2 years in Malaysia: a study protocol

Abstract

Background

The first 2 years of life is a critical period of rapid growth and brain development. During this period, nutrition and environmental factors play important roles in growth and cognitive development of a child. This report describes the study protocol of early nutrition, growth and cognitive development of infants from birth to 2 years of age.

Methods/Design

This is a prospective cohort study of mothers and infants recruited from government health clinics in Seremban district in Negeri Sembilan, Malaysia. Infants are followed-up at 6, 12, 18 and 24 months of age. Pre-natal factors that include mother’s pre-pregnancy body mass index, gestational weight gain, blood glucose and blood pressure during pregnancy, infant’s gestational age, birth weight and head circumference at birth are obtained from patient card. Post-natal factors assessed at each follow-up are feeding practices, dietary intake, anthropometric measurements and cognitive development of infants. Iron status is assessed at 6 months, while infant temperament and home environment are assessed at 12 months. Maternal intelligence is assessed at 18 months.

Discussion

Early life nutritional programming is of current interest as many longitudinal studies are actively being conducted in developed countries to investigate this concept. The concept however is relatively new in developing countries such as Malaysia. This study will provide useful information on early nutrition and infant development in the first two years of life which can be further followed up to identify factors that track into childhood and contribute to growth and cognitive deviations.

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Background

Nutrition in the early life has been shown to have a substantial influence on long-term health and development. There are critical periods when the system and organs of the human body are plastic and sensitive to the environment, and most of them occur in utero, except for the brain, liver and immune systems, which remain plastic after birth [1]. An insult or stimulus that occurs during a critical or sensitive period of development may have long-term effects on the tissue structure or functions, which is known as ‘programming’ [2]. Programming occurs as a result of adaptations for survival during the critical periods when the environment is compromised. For example, an undernourished mother during pregnancy will send a signal to her fetus that the environment outside might be harsh and the fetus will respond to this signal by reducing body size and altering metabolism for survival after birth [3]. Fetus will then reduce its insulin secretion and increase peripheral insulin resistance, directing more glucose to the vital organs, including the brain and the heart, and less to insulin-dependent tissues [4]. Peripheral insulin resistance and impaired pancreatic β-cell may result in glucose intolerance and hence diabetes when nutrition is abundance during adult life.

The concept of early life nutrition has been expanded to include milk-feeding period in the first 4 to 6 months of life and complementary feeding period up to the age of 2 years. Breastfeeding has been found to be associated with healthier body composition. Children who had been breastfed for at least 12 months were more likely to have lower fat mass at the age of 4 years than non-breastfed children [5]. Breast-fed infants were also reported to have lower risk of obesity, hypercholesterolemia, high blood pressures, cardiovascular diseases and type 2 diabetes in adulthood [2]. Early introduction of complementary foods (before 4 months of age) is associated with higher body mass index (BMI) in later childhood [6] and the risk of obesity was higher among formula-fed than breast-fed infants [7]. Flavor experience during this period could influence flavor acceptance and preference and subsequently food choice in later life [8, 9]. As breastfed infants received more variation of flavors from the foods that mothers consumed than formula-fed infants, the exposure to these flavors in the early life will encourage children to try new foods and enjoy a variety of nutritious foods in later childhood [9].

Nutrition plays an important role in pregnancy and infancy as these are the critical periods of brain formation that will serve as a foundation for the development of cognitive, motor and socio-emotional skills throughout life. Nutrient inadequacy during these periods may compromise the structural development of the brain [10]. For example, iron is an essential component of many enzymes that are involved in the oxidation-reduction reactions, synthesis and catabolism of neurotransmitters and production of myelin. Inadequate iron intake in the first 2 years of life, where the peak of myelinogenisis occurs, may have lasting negative effects on cognitive functions [11]. Infants with iron deficiency anemia (IDA) were more likely to have poorer cognitive development than non-anemic infants, and this cognitive impairment persisted even at 5 years old [12]. The effect of IDA on cognitive development could be mediated by poorer orientation or engagement and socioemotional functions associated with IDA [13].

Stunting, a common growth failure in young children, is mainly caused by poor nutrition and infections rather than genetic factors [14]. This growth failure is closely associated with poverty which restricts access to adequate quantity and quality food, clean water and sanitation, and quality primary health care. Poverty is also related to low maternal education, increased maternal stress and depression as well as inadequate cognitive stimulation at home. Both poverty and stunting are well-known risk factors for poor child development, including cognitive functions [15, 16]. However, factors such as child’s interaction with the environment, the timing and degree of nutrient deficiency and the possibility of recovery from undernutrition could determine the permanent effects of nutritional insults on cognition. Both nutrient supplementation and psychosocial stimulation are essential in improving cognitive development of undernourished children [17]. Stunted children who received a combination of nutritional supplements and early childhood development (ECD) intervention that include pre-school based activities and parenting education scored significantly higher in cognitive test than children who received only nutritional supplements for two years [18]. IDA infants receiving a combination of iron supplement and home intervention that includes support for mother-infant relationship were also found to score higher in cognitive assessment than infants receiving only iron supplement [19].

In Malaysia, many studies have examined factors associated with nutritional status and cognitive ability of children. However, given that early life nutrition can have an impact on growth and development of infants that may track into later childhood and adulthood, it is important to conduct a longitudinal study that look into this concept in Malaysia. This study will investigate the relationship between nutrition in the early life with growth and cognitive development of infants. Psychosocial factors such as home environment and infant temperament are also assessed, providing a comprehensive examination of factors that influence growth and development of infants in Malaysia.

Aim of the study

This study aims to determine the association between early life nutrition with growth and cognitive development of infants in Malaysia. The specific research questions to be investigated in the study are:

  1. 1.

    What are the pre-natal and post-natal factors associated with growth and cognitive development of infants from birth to 2 years of age?

  2. 2.

    Is there any association between growth and cognitive development of infants from birth 2 years?

Methods/Design

Study design

This prospective cohort study follows mothers and infants for two years from three selected government health clinics in the district of Seremban in Negeri Sembilan, Malaysia. Infants are followed-up at 6, 12, 18 and 24 months of age. Ethical approval was obtained from Universiti Putra Malaysia Ethics Committee for Research Involving Human Subjects (JKEUPM), in accordance with the Declaration of Helsinki (FPSK(FR15)P012) and permission to conduct the study was obtained from the Ministry of Health Malaysia.

Subject recruitment

Infants born between the year 2015 and 2016 are recruited at selected government health clinics during their first visit for immunization, usually between the ages of 0 to 2 months. Infants are screened for study eligibility criteria that include, male or female infant, infant less than 3 months old at recruitment, Malaysian, singleton and full-term (>37 weeks) infant, infant born with no physical or congenital abnormality and mother’s age more than 18 years at conception. Mothers are informed of the study and invited to participate in the study. Written consent is obtained from mothers prior to data collection. Subject recruitment has started in June 2015 and is currently on-going.

Sample size

Sample size was calculated using a formula for cohort study with an adjustment for unequal groups [20]. Based on the ratio of the number of normal birth weight infants to low birth weight infants born in Seremban, Negeri Sembilan, which was 7:1 in 2006 [21] and the proportion of normal birth weight infants and low birth weight infants with low IQ in childhood [22], with 95 % power and 5 % significance level, a total of 491 infants are required for the study. Considering a possible attrition rate of 20 %, the number of infants to be recruited is 589 infants.

Study measurements

General measurements

Socio-demographic background of parents and infants, which include parents’ age, ethnicity, educational attainment, occupation, household income, infant’s gestational age, date of birth and sex will be obtained through a questionnaire at recruitment. Table 1 shows the details of the types of data that will be collected at each follow-up.

Table 1 Data that will be collected at each follow-up of the study

Measurements of mothers

Information on mother’s pre-pregnancy BMI, obstetrics history, anthropometric measurements, gestational weight gain and biochemical data during pregnancy are obtained from patient card during the first follow-up at 6 month. Post-partum depression (within 3 months after birth) is assessed using a validated Malay version of the Edinburgh Postnatal Depression Scale (EPDS) [23, 24]. Mothers are asked to respond to 10 items on their feelings during the confinement period, usually within a month or two after delivery. Each item is scored on a scale of 0 (no risk of depression) to 3 (high risk of depression) with a maximum possible score of 30. Mothers are also interviewed on their smoking and drinking behaviors during pregnancy. During the follow-up at 6 months, mothers are requested to recall their habitual food intakes in the third trimester of pregnancy using a semi-quantitative food frequency questionnaire (S-FFQ), adapted from the Malaysian Adult Nutrition Survey 2003 [25]. Maternal intelligence is assessed during the follow-up at 18 months using Raven’s Standard Progressive Matrices (SPM) [26].

Measurements of infants

Anthropometric measurements

Infant’s birth weight, length and head circumference at birth are obtained from patient card at recruitment. Infants are measured for weight, length, head circumference, waist circumference, mid-upper arm circumference (MUAC), tricep and subscapular skinfolds (TSF and SSF) at 6, 12, 18 and 24 months. All measurements are conducted twice and recorded to the nearest 0.1 kg for weight, 0.1 cm for length/height, head, waist and mid-upper arm circumference and 0.1 mm for skinfold thickness. Weight-for-age, length-for-age, BMI-for-age, head circumference-for-age, MUAC-for-age, TSF-for-age and SSF-for-age are determined using WHO Anthro version 3.2.2 software [27]. Nutritional status of infants is then categorized based on the Z-scores using the WHO Child Growth Standards [28, 29].

Infant feeding practices

Infant feeding practices are assessed at 6, 12, 18 and 24 months. A questionnaire was developed to include all the 8 core indicators of infant and young child feeding (IYCF), which are breastfeeding initiation, exclusive breastfeeding, continued breastfeeding, introduction of complementary foods, dietary diversity, meal frequency, minimum acceptable diet and consumption of iron-rich fortified foods [30, 31].

Energy and nutrient intakes

Mothers are interviewed for infants’ dietary intake using a 24-h dietary recall at each visit at 6, 12, 18 and 24 months. Dietary data are analyzed using NutritionistProTM software (Axxya Systems, 2008) for energy and nutrients based on the United States Department of Agriculture (USDA) food database. Energy and nutrient adequacy is determined based on the Recommended Nutrient Intake (RNI) for Malaysians [32].

Dietary diversity

Dietary diversity is assessed at the age of 6, 12, 18 and 24 months using the Food and Agriculture Organization of the United Nation (FAO) dietary diversity questionnaire [33]. This questionnaire assesses intake of 16 food groups in the past 24-h as well as in the past week. A dietary diversity score is calculated based on the IYCF criteria, which includes intake of 7 food groups (grains, roots and tubers, legumes and nuts, dairy products, flesh foods, eggs, vitamin A rich fruits and vegetables and other fruits and vegetables). A score of 1 is given if the infants consume any food in each of the food groups. A score of 4 or more indicates a high likelihood that the infants consume foods from at least 1 animal source and 1 fruit or vegetable in addition to staple food [30, 31].

Iron status

Capillary blood sample of the infants is obtained through heel prick to assess hemoglobin concentration at 6 months [34]. HemoCue (Hb 201+) hemoglobin analyzer will be used to analyze hemoglobin concentration. A cut-off point of 11.0 g/dl hemoglobin concentration will be used to define a possible risk of iron deficiency anemia [35].

Infant temperament

Infant temperament is assessed using Revised Infant Behavior Questionnaire (IBQ-R) [36] at 12 months. The IBQ-R is a parent-report measure of infant temperament. It consists of 91 items with 14 subscales, including activity level, distress to limitations, high pleasure, low pleasure, soothability, falling reactivity, cuddliness, perceptual sensitivity, sadness, approach and vocal reactivity. Mothers are requested to report their infants’ behaviors during specific events in the past week using a 7-point scale, ranging from 1 (never) to 7 (always). If an event does not occur in the past week, then the mother can choose ‘does not apply’ option. Three broad dimensions of temperament, which are surgency/extraversion, negative affectivity and orienting/regulation will be obtained by summing the scores of the subscales. A higher dimension score indicates higher tendency towards the dimension.

Home environment

Home environment is evaluated using Infant Toddler HOME Inventory (IT-HOME) [37] at 12 months. The IT-HOME consists of 45 items with 6 subscales, including responsivity, acceptance, organization, learning materials, involvement and variety. Each items is given a score of 1 for ‘yes’ and 0 for ‘no’ based on observation or interview. A higher total score indicates higher quality of home environment. Parent-child interaction is also assessed in the IT-HOME through observation in the subscale for responsivity.

Cognitive development

Cognitive development of infants is assessed using Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III) [38] at 6, 12, 18 and 24 months. The BSID-III measures development of infants and toddlers from 1 to 42 months of age across cognitive, language, motor, social-emotional and adaptive domain. In this study, only the cognitive domain is being measured. This includes assessment of sensorimotor development, exploration and manipulation, object relatedness, concept formation, memory and other aspects of cognitive processing [38]. The test is administered according to the infant’s age-specific start point. Each correct response is given a score of 1 and the total raw score is then converted into its composite score.

Statistical analysis

Data will be analyzed using SPSS software version 23. Univariate and bivariate analyses will be used to describe the data. Logistic regression will be used to determine the relative risk of poor growth and cognitive development. Linear mixed model will be used to determine the effect of time on the relationship between pre-natal and post-natal factors with growth and cognitive development from 6 to 24 months.

Discussion

Epidemiological studies support the relationship between early life nutrition and risk of adult diseases such as cardiovascular disease, diabetes mellitus and cancer. Fetal programming and developmental plasticity are plausible biological mechanisms that could explain the link between early life nutrition and adult diseases. An environmental mismatch can occur when prenatal and postnatal environments lack compatibility, which then could increase the individual’s susceptibility to adult diseases [39]. Prenatal and postnatal nutritional factors also play an important part in brain development which can track into later life [17, 40, 41]. As nutrients influence brain development, the roles of maternal diet during pregnancy, milk feeding and complementary feeding in cognitive development require further investigation. Understanding the influence of variations in maternal and infant nutrition on growth and cognitive development in the first 2 years of life is essential for developing strategies to improve overall growth and development of children as well as to lower the risk of adult diseases.

In Malaysia, despite rapid economic growth and development and improvements in socio-economic status and health care system, child under-nutrition still persists particularly in low-income communities. The prevalence of underweight and stunting among children aged below 18 years was 13.2 % and 17.2 % in 2006 [42], while in 2011, 16.1 % and 13.4 % of the children were found to be underweight and stunted respectively [43]. In 2015, the prevalence of underweight and stunting among Malaysian children was 13.0 % and 13.4 % respectively [44]. At the same time, childhood obesity is also increasing in Malaysia. The prevalence of obesity among Malaysian children below 18 years old has increased from 6.1 % in 2011 [43] to 11.9 % in 2015 [44]. In another nationwide survey on nutritional status of children aged 6 months to 12 years, the overall prevalence of overweight and obesity among the children was 9.8 % and 11.8 % respectively [45].

Overweight and obesity are risk factors for non-communicable diseases (NCDs). In Malaysia, the prevalence of overweight and obesity among Malaysian adults have increased from 16.6 % and 4.4 % respectively in 1996 [46] to 29.1 % and 14.0 % respectively in 2006 [47]. The prevalence further increased to 29.4 % and 15.1 % respectively in 2011 [43] and to 30.0 % and 17.7 % respectively in the recent National Health and Morbidity Survey (NHMS) in 2015 [44]. Hypertension and hypercholesterolemia, which are risk factors for cardiovascular diseases (CVDs), are also prevalent among Malaysians. For adults aged 18 years and above, the prevalence of hypertension has increased from 29.9 % in 1996 [46] to 32.2 % in 2006 [47] and 32.7 % in 2011 [43]. However, in 2015, the prevalence has slightly decreased to 30.3 % [44]. For hypercholesterolemia, the prevalence shows an increasing trend with 11.5 % in 1996 [46], 20.7 % in 2006 [47], 32.6 % in 2011 [43] and 47.7 % in 2015 [44]. Over the years, Malaysia has also seen increasing prevalence of diabetes mellitus in adults 18 years and above with 11.6 % in 2006 [47], 15.2 % in 2011 [43] and 17.5 % in 2015 [44].

The rising prevalence of non-communicable diseases among adults in Malaysia supports the need to investigate pre-natal and post-natal factors that could be related to the observed disease trends in Malaysia. The USM Pregnancy Cohort Study, which was conducted on 153 Malay women in Kelantan in 2009, was the first study that examined the concept of early nutritional programming [48]. The study reported that higher intakes of fruits and vegetables during pregnancy were associated with higher birth weight, birth length and head circumference at birth [49]. In addition, higher maternal pre-pregnancy BMI was associated with higher BMI-for-age and weight-for-age of infants at 12 months of age [50]. The present study which aims to recruit a larger number of mother and infant pairs will be able to complement the USM Pregnancy Cohort Study on providing insights into the link between early nutrition with growth and cognitive development of infants in Malaysia.

Conclusion

Data from this study will contribute to the gap in knowledge related to growth and cognitive development during the first 2 years of life. This study is expected to demonstrate an association between early life nutrition with growth and cognitive development of infants. The findings of this study can be used to develop evidence-based recommendations on infant nutrition related to growth and cognitive development. Any associated effects of early nutrition on growth and cognitive development may provide a basis for development of relevant intervention strategies as well as strengthening existing strategies and policies related to maternal and child health in Malaysia.

Abbreviations

BMI:

Body mass index

BSID-III:

Bayley Scales of Infant and Toddler Development, Third Edition

CVDs:

Cardiovascular diseases

ECD:

Early Childhood Development

EDPS:

Edinburgh Post Natal Depression Scale

FAO:

Food and Agriculture Organization of the United Nation

IBQ-R:

Revised Infant Behavior Questionnaire

IDA:

Iron Deficiency Anemia

IPH:

Institute for Public Health

IT-HOME:

Infant Toddler HOME Inventory

IYCF:

Indicators for assessing infant and young child feeding practices

JKEUPM:

Universiti Putra Malaysia Ethics Committee for Research Involving Human Subjects

MUAC:

Mid-upper arm circumference

NCDs:

Non-communicable diseases

NHMS:

National Health and Morbidity Survey

S-FFQ:

Semi-quantitative food frequency questionnaire

SPM:

Standard Progressive Matrices

SSF:

Subscapular skinfold thickness

TSF:

Tricep skinfold thickness

USDA:

United States Department of Agriculture

USM:

Universiti Sains Malaysia

WHO:

World Health Organization

References

  1. Barker DJP. Developmental origins of chronic disease. Public Health. 2012;126:185–9.

    Article  CAS  PubMed  Google Scholar 

  2. Lucas A. Long-term programming effects of early nutrition – implications for the preterm infant. J Perinatol. 2005;25:S2–6.

    Article  PubMed  Google Scholar 

  3. Barker DJP. The developmental origins of chronic adult disease. Acta Pediatrica. 2004;Suppl. 446:26–33.

    Google Scholar 

  4. De Boo HA, Harding JE. The developmental origins of adult disease (Barker) hypothesis. Aust N Z J Obstret Gynaecol. 2006;46:4–14.

    Article  Google Scholar 

  5. Robinson SM, Marriott LD, Crozier SR, Harvey NC, Gale CR, Inskip HM, et al. Variations in infant feeding practice are associated with body composition in childhood: A prospective cohort study. J Clin Endocrinol Metabol. 2009;94(8):2799–805.

    Article  CAS  Google Scholar 

  6. Pearce J, Taylor MA, Langley-Evans SC. Timing of the introduction of complementary feeding and risk of childhood obesity: a systematic review. Int J Obes (Lond). 2013;37:1295–306.

    Article  CAS  Google Scholar 

  7. Huh SY, Rifas-Shiman SL, Taveras EM, Oken E, Gillman MW. Timing of solid food introduction and risk of obesity in preschool-aged children. Pediatrics. 2011;127:e544–51.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Manella JA, Lukasewyez LD, Castor SM, Beauchamp GK. The timing and duration of a sensitive period in human flavor learning: a randomized trial. Am J Clin Nutr. 2011;93:1019–24.

    Article  Google Scholar 

  9. Trabulsi JC, Mennella JA. Diet, sensitive periods in flavour learning, and growth. Int Rev Psychiatry. 2012;24(3):219–30.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Benton D. The influence of children’s diet on their cognition and behavior. Eur J Nutr. 2008;47 Suppl 3:25–37.

    Article  PubMed  Google Scholar 

  11. Hulthén L. Iron deficiency and cognition. Scand J Nutr. 2003;47(3):152–6.

    Article  Google Scholar 

  12. Walter T. Effect of iron-deficiency anemia on cognitive skills and neuromaturation in infancy and childhood. Food Nutr Bull. 2003;24 Suppl 4:S104–10.

    Article  PubMed  Google Scholar 

  13. Carter RC, Jacobson JL, Burden MJ, Armony-Sivan R, Dodge NC, Angelilli ML, et al. Iron deficiency anemia and cognitive function in infancy. Pediatrics. 2010. doi:10.1542/peds.2009-2097.

    Google Scholar 

  14. Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B, et al. Developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369:60–70.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Walker SP, Wachs TD, Grantham-McGregor S, Black MM, Nelson CA, Huffman SL, et al. Inequality in early childhood: risk and protective factors for early child development. Lancet. 2011. doi:10.1016/S0140-6736(11)60555-2.

    PubMed Central  Google Scholar 

  16. Walker SP, Wachs TD, Gardner JM, Lozoff B, Wasserman GA, Pollitt E, et al. Child development: risk factors for adverse outcomes in developing countries. Lancet. 2007;369:145–57.

    Article  PubMed  Google Scholar 

  17. Prado EL, Dewey KG. Nutrition and brain development in early life. Nutr Rev. 2014;72(4):267–84.

    Article  PubMed  Google Scholar 

  18. Watanabe K, Flores R, Fujiwara J, Tran LTH. Early childhood development interventions and cognitive development of young children in rural Vietnam. J Nutr. 2005;135:1918–25.

    CAS  PubMed  Google Scholar 

  19. Lozoff B, Smith JB, Clark KM, Perales CG, Rivera F, Castillo M. Home intervention improves cognitive and social-emotional scores in iron deficient anemic infants. Pediatrics. 2010;126(4):e884–94.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Cole TJ. Sampling, Study Size, and Power. In: Margetts BM, Nelson M, editors. Design Concepts in Nutritional Epidemiology. 2nd ed. Oxford: Oxford University Press, Inc; 2006. p. 64–86.

    Google Scholar 

  21. Boo NY, Lim SM, Koh KT, Lau KF, Ravindran J. Risk factors associated with low birth weight infants in the Malaysian population. Med J Malaysia. 2008;63(4):306–10.

    CAS  PubMed  Google Scholar 

  22. Elgen I, Sommerfelt K. Low birthweight children: coping in school? Acta Paediatr. 2002;91:939–45.

    Article  CAS  PubMed  Google Scholar 

  23. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression: Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987;150:782–6.

    Article  CAS  PubMed  Google Scholar 

  24. Azidah AK, Rusli N, Shaiful BI, Mohd Jamil Y, Wan Mohd Rushidi Y. Validation of the Malay version of Edinburgh Postnatal Depression Scale for postnatal women in Kelantan, Malaysia. Asia Pacific Family Med. 2004;3(1–2):9–18.

    Google Scholar 

  25. Ministry of Health Malaysia. Volume 1: Methodology – Malaysian Adult Nutrition Survey 2003. Putrajaya: Ministry of Health Malaysia; 2003.

    Google Scholar 

  26. Raven JC. Standard Progressive Matrices Sets A, B, C, D & E. San Antonio TX: Pearson Education Inc.; 1998.

    Google Scholar 

  27. World Health Organization. WHO Anthro for personal computers, version 3.1, 2010: Software for assessing growth and development of the world’s children. Geneva: WHO; 2010.

    Google Scholar 

  28. World Health Organization. WHO child growth standards: length/height-for-age, weight-for-age, weight-for-height and body mass index-for-age: methods and development. Geneva: WHO; 2006.

    Google Scholar 

  29. World Health Organization. WHO child growth standards: head circumference-for-age, arm circumference-for-age, triceps skinfold-for-age and subscapular skinfold-for-age: methods and development. Geneva: WHO; 2007.

    Google Scholar 

  30. World Health Organization. Indicators for assessing infant and young children feeding practices - part 1: definitions. Geneva: WHO; 2008.

    Google Scholar 

  31. World Health Organization. Indicators for assessing infant and young children feeding practices – part 2: measurement. Geneva: WHO; 2010.

    Google Scholar 

  32. National Coordinating Committee on Food and Nutrition. Recommended Nutrient Intakes for Malaysia. Putrajaya: Ministry of Health Malaysia; 2005.

    Google Scholar 

  33. Food and Agriculture Organization of the United Nation. Guidelines for measuring household and individual dietary diversity. Rome: FAO; 2013.

    Google Scholar 

  34. World Health Organization. WHO guidelines on blood drawing: best practices in phlebotomy. Geneva: WHO; 2010.

    Google Scholar 

  35. World Health Organization. Indicators and strategies for iron deficiency anemia programs. Report of the WHO/UNICEF/UNV Consultant. Geneva: WHO; 1994.

    Google Scholar 

  36. Gartstein MA, Rothbart MK. Studying infant temperament via the Revised Infant Behavior Questionnaire. Infant Behav Dev. 2003;26:64–86.

    Article  Google Scholar 

  37. Caldwell BM, Bradley RH. HOME Inventory Administration Manual, Standard Versions. Arkansas: University of Arkansas; 2003.

    Google Scholar 

  38. Bayley N. Bayley Scales of Infant and Toddler Development. 3rd ed. San Antonio: Pearson Clinical Assessment; 2006.

    Google Scholar 

  39. Hanson MA, Gluckman PD, Ma RCW, Matzen P, Biesma RG. Early life opportunities for prevention of diabetes in low and middle income countries. BMC Public Health. 2012;12:1025.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Nyaradi A, Li J, Hickling S, Foster J, Oddy WH. The role of nutrition in children’s neurocognitive development, from pregnancy through childhood. Front Hum Neurosci. 2013;7(97):1–16.

    Google Scholar 

  41. Benton D, Winichagoon P, Ng TP, Tee ES, Isabelle M. Symposium on nutrition and cognition: towards research and application for different life stages. Asia Pac J Clin Nutr. 2012;21(1):104–24.

    CAS  PubMed  Google Scholar 

  42. Khor GL, Noor Safiza MN, Rahmah R, Jamaluddin AR, Kee CC, Geeta A, et al. The Third National Health and Morbidity Survey (NHMS III) 2006: Nutritional status of children aged 0 to below 18 years. Malaysian J Nutr. 2008;14(2):S6.

    Google Scholar 

  43. Institute for Public Health. National Health and Morbidity Survey 2011 (NHMS 2011). Volume II: Non-Communicable Diseases. Kuala Lumpur: IPH, Ministry of Health Malaysia; 2011. p. 2011.

    Google Scholar 

  44. Institute for Public Health. National Health and Morbidity Survey 2015 (NHMS 2015). Volume II: Non-Communicable Diseases, Risk Factors and Other Health Problems. Kuala Lumpur: IPH, Ministry of Health Malaysia; 2015. p. 2015.

    Google Scholar 

  45. Poh BK, Ng BK, Siti Haslinda MD, Nik Shanita S, Wong JE, Budin SB, et al. Nutritional status and dietary intakes of children aged 6 months to 12 years: findings of the Nutrition Survey of Malaysian Children (SEANUTS Malaysia). Br J Nutr. 2013;110:S21–35.

    Article  CAS  PubMed  Google Scholar 

  46. Ministry of Health Malaysia. National Health and Morbidity Survey 1 & 2. Kuala Lumpur: Institute of Public Health; 1996.

    Google Scholar 

  47. Ministry of Health Malaysia. Third Morbidity and Health Survey 2006. Kuala Lumpur: Institute of Public Health; 2006.

    Google Scholar 

  48. Loy SL, Hamid Jan JM. The Universiti Sains Malaysia Pregnancy Cohort Study: maternal-infant adiposity development until the first year of life. Health Environ J. 2014;5(1):50–64.

    Google Scholar 

  49. Loy SL, Marhazlina M, Azwany YN, Hamid Jan JM. Higher intake of fruits and vegetables in pregnancy is associated with birth size. Southeast Asian J Tropical Med Public Health. 2011;42(5):1214–23.

    Google Scholar 

  50. Zalbahar N, Jan Mohamed HJB, Ling LS, Najman J, McIntyre HD, Mamun A. Association of parental body mass index before pregnancy on infant growth and body composition: evidence from a pregnancy cohort study in Malaysia. Obesity Research & Clinical Practice. 2015; doi: http://dx.doi.org/10.1016/j.orcp.2015.08.002.

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Acknowledgements

The authors would like to thank Zulida Rejali, Barakatun Nisak Mohd Yusof and Yong Heng Yaw for their contributions in the design of the study. We would also like to thank Wan Noor Fatehah Wan Zakaria and Nur Amirah Inani Sabri for their contributions in the data collection of the study.

Funding

This study is funded by the Ministry of Education Malaysia under the Fundamental Research Grant Scheme (Project code: 04-02-14-1549FR). The funding body provided an unrestricted research grant and has no role in the design of the study and collection, analysis and interpretation of data and in writing the manuscript.

Availability of data and materials

Not applicable.

Authors’ contributions

ARN prepared the manuscript, conducting the study and will analyze the data. ZMS revised and finalized the manuscript, conceptualizing and supervising the study. MNMT, WYG and KAT commented on the draft of the manuscript. All authors contributed to the design of the study, read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical approval was obtained from Universiti Putra Malaysia Ethics Committee for Research Involving Human Subjects (JKEUPM), in accordance with the Declaration of Helsinki (FPSK(FR15)P012). Written consent is obtained from mothers of the infants using a standard consent form provided by the JKEUPM.

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Correspondence to Zalilah Mohd Shariff.

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Nurliyana, A., Mohd Shariff, Z., Mohd Taib, M. et al. Early nutrition, growth and cognitive development of infants from birth to 2 years in Malaysia: a study protocol. BMC Pediatr 16, 160 (2016). https://doi.org/10.1186/s12887-016-0700-0

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