It is unclear whether early child development is, like skeletal growth, similar across diverse regions with adequate health and nutrition. We prospectively assessed 1307 healthy, well-nourished 2-year-old children of educated mothers, enrolled in early pregnancy from urban areas without major socioeconomic or environmental constraints, in Brazil, India, Italy, Kenya and UK. We used a specially developed psychometric tool, WHO motor milestones and visual tests. Similarities across sites were measured using variance components analysis and standardised site differences (SSD). In 14 of the 16 domains, the percentage of total variance explained by between-site differences ranged from 1.3% (cognitive score) to 9.2% (behaviour score). Of the 80 SSD comparisons, only six were >±0.50 units of the pooled SD for the corresponding item. The sequence and timing of attainment of neurodevelopmental milestones and associated behaviours in early childhood are, therefore, likely innate and universal, as long as nutritional and health needs are met.


The INTERGROWTH-21st Project consisted of several interrelated studies with the primary aim of assessing growth, health, nutrition and neurodevelopment from less than 14 weeks’ gestation to 2 years of age, using the same conceptual framework as the WHO Multicentre Growth Reference Study1. Eight study populations across diverse geographically delimited areas were selected according to criteria for adequate health, nutrition and socioeconomic status required for constructing international standards2,3. The Project has produced prescriptive, international standards of fetal growth4, newborn size and body composition5,6, and postnatal growth of preterm infants7. The standards complement the existing WHO Child Growth Standards8 very well and clearly demonstrate that participants in the INTERGROWTH-21st Project were appropriately selected to meet the WHO prescriptive criteria for optimal human growth and neurodevelopment9.

The studies provided robust evidence of the similarities in skeletal growth from early pregnancy to 2 years of age, based on WHO recommended strategies10. However, the biological concept of similarities across non-isolated populations should be extended beyond skeletal growth9, to include markers of neurodevelopment. This is justified because cognition, attentional problems, language, motor and visual capacity are fundamental human functions, and their development reflects the fast growth and maturation of the brain11, which accompany the rapid skeletal growth that occurs in fetuses and infants12.

The first step in our research programme was to develop, validate and test in different settings a simplified, rapid, neurodevelopment assessment package that would measure key dimensions of neurodevelopment and associated behaviours separately and objectively, and that could be used internationally across different cultures and administered to large populations13,14,15.

Here, we report the findings of the second step in the programme. Using the INTERGROWTH-21st Neurodevelopment Assessment Package which we developed, we demonstrate, for the first time in a longitudinal study from pregnancy to childhood, that the sequence and timing of attainment of key neurodevelopmental milestones and associated behaviours among 2-year-old children are similar across geographically delimited populations specially selected because of their adequate health, medical care, education, and nutrition. We also show that the data from the five study sites can be pooled to create international standards because the variation in child development “between” sites is minimal compared to other sources of variance.


Study participants

There were 2898 singleton fetuses, born alive without congenital malformations, that were included in the construction of the international INTERGROWTH-21st Fetal Growth4 and Preterm Postnatal Growth Standards7, from five study sites located in the cities of Pelotas (Brazil); Turin (Italy); Oxford (UK); the central area of Nagpur (India) and the Parklands suburb of Nairobi (Kenya). All were urban regions (e.g. a complete city, or county, or part of a city with clear political or geographical limits where most deliveries occurred in health institutions). The selection criteria at the cluster level were: the areas had to be located at an altitude <1600 m, with a low risk of fetal and infant growth and developmental disturbances as well as an absence or low levels of major, known, non-microbiological contamination such as pollution, domestic smoke, radiation or any other toxic substances. Within each urban area, we selected all institutions classified locally as “private” or “corporation” hospitals and/or serving the middle to upper socioeconomic population provided that most of the institutional deliveries from the target population took place there. Women receiving antenatal care had to plan to deliver in these institutions or in a similar hospital located in the same geographical area. Three original sites located in China, Oman and the USA did not participate in the sub-studies that are the focus of the present report.

One hundred and ninety women were lost to follow-up or withdrew consent soon after pregnancy or their neonates died before hospital discharge. Although this was an a priori designed follow-up study, there was delay in obtaining the required funding. Hence, by the time the follow-up started, 833 children were considered unlikely to be evaluated within the assessment age-window, as per protocol. Additionally, 117 parents withdrew consent.

From the 1758 remaining children, five died during infancy and 83 had a clinical evaluation but not the complete neurodevelopment assessment (Fig. 1). We also could not contact 331 parents. Thus, of the 1753 eligible children, 1422 (81.1%) were seen at 2 years and 1339 (76.4% of all those eligible) had a neurodevelopment assessment. Among the latter, 32 children were diagnosed with severe visual problems, seizures, hearing impairment, malaria or heart conditions. The diagnoses were made as part of routine clinical care by the appropriate clinicians; consistency across sites was maintained by providing a manual of operations to standardise care, which is freely available at www.intergrowth21.org.uk. These children were excluded from the final analysis, leaving data from 1307 available children (683 girls and 624 boys) (Fig. 1).

Fig. 1
Fig. 1

Participant flow: INTERGROWTH-21st Project Neurodevelopment Assessment cohort at 2 years of age

The proportional contribution to the analysis sample from the study sites was 15% Brazil (N = 199), 24% India (N = 318), 24% Italy (N = 311), 24% Kenya (N = 311) and 13% the UK (N = 168). The baseline socio-demographic characteristics (Supplementary Table 1) of these samples were remarkably similar to those of the original cohorts at each study site2, and the samples across the five sites were, as expected, also similar because the same entry criteria were used. In addition, the satisfactory growth and development of the children at 1 and 2 years of age has confirmed the adequate health, educational and nutritional status of the original cohorts9.

The median, inter-quartile range (IQR) age at the neurodevelopment assessment was 24.2 (IQR 23.9, 25.2) months; 1128 (86.4%) children were evaluated between 22 and 26 months. The neonatal characteristics of the children evaluated at 2 years (n = 1307) were compared to those of the children lost to follow-up (n = 331). The two samples were very similar in terms of anthropometric measures at birth, preterm birth rate, sex and neonatal morbidity. At hospital discharge, over 90% of newborns were exclusively breastfed in both groups (Table 1).

Table 1 Neonatal characteristics of children included in the INTERGROWTH-21st Neurodevelopment Assessment Study compared to children lost to follow-up

Exclusive/predominant breastfeeding was discontinued at a median of 5.5 (IQR 4.0, 6.0) months in the evaluated group and at 5.0 (IQR 3.0, 6.0) months in the non-evaluated group. Breastfeeding stopped entirely at a median of 12.0 (IQR 7.0, 18.0) months in the evaluated group. The median years of maternal education in the evaluated group were 15.0 (IQR 13.0, 17.0) and 15.0 (IQR 12.0,16.0) in the non-evaluated group.

The majority of infants were vaccinated in accordance with recommended policies and only 16.5% were treated with iron/vitamins. The most frequently reported or diagnosed conditions during the second year of life were exanthema/skin diseases, fever ≥ 3 days during ≥3 episodes, and otitis media/lower-tract respiratory infections. Antibiotics were prescribed to 12.5% of children during their second year. Overall, the children evaluated had low morbidity in accordance with their mothers’ low-risk status, the very low preterm birth rate (4%) and the families’ socioeconomic and educational status (Tables 1 and 2).

Table 2 Morbidity diagnoses between 1 and 2 years of life of children included in the INTERGROWTH-21st Neurodevelopment Assessment Study

By 2 years, 92% of length, 90% of weight and 91% of head circumference measures of this cohort’s values were within the 3rd and 97th centiles of the WHO Child Growth Standards. Among infants born at term, the mean (SD) age- and sex-specific z-scores for length, weight and head circumference were −0.15 (1.00), 0.23 (1.05) and 0.13 (1.08), respectively.

Developmental measures

The number of observations available across sites for individual domains of the INTERGROWTH-21st Neurodevelopment Assessment, Cardiff tests and age of achievement of two WHO gross motor development milestones are shown in Supplementary Table 2. Ninety-nine percent of children reached the milestone of the age at “first standing alone” and 98% reached the milestone of the age at “walking alone” within the 3rd and 97th centiles of the WHO age-window of achievement16. Furthermore, 99% of children had binocular visual acuity of 0.4 log Mar (6/15 Snellen equivalent) or better, and 98.4% had visual contrast sensitivity of 33.3 or higher suggesting that they did not have any visual impairment17.

The mean ages at assessment were almost identical for girls and boys (25.1; SD 2.2 and 25.0; SD 2.1 months, respectively). There was a trend towards higher average values in the cognitive and motor scores among girls, which was inverted for attention and language scores in favour of boys but without a clear overall differential pattern. Nevertheless, we have adjusted all comparisons across study sites by sex. As expected, the age of the children (in months) at the time of assessment had an effect, i.e. older children, even within the assessment age-window, had slightly higher scores. We have, therefore, adjusted all comparisons across study sites for chronological age at assessment.

Table 3 presents the percentage of the total variance that can be attributed to differences between study sites (as opposed to differences among individuals within sites) estimated using variance components analysis in these five healthy, adequately nourished cohorts.

Table 3 Variance components analysis for individual domains of the INTERGROWTH-21st Neurodevelopment Assessment Package showing variance between study sites as % of the total variance

Amongst the primary domains (top seven domains in Table 3), the proportion of the total variance adjusted by sex and age at assessment explained by site differences was 1.3% for the mean cognitive score and 5.4% for the mean attentional problems score; for the visual tests and motor domains, site differences explained 8% or less of the total variance for each item. Results from the models that included sex and age were consistently similar to those that included fetal and child growth variables.

Furthermore, we selected an item from the cognitive domain that could be considered as describing one of the three components of executive function18, i.e. “inhibition on task performance” (“Identifies glitter bracelet under washcloth”). Differences between sites explained only 3.4% of the total variance for this item (Table 3). This is relevant because executive function describes a set of skills involved in planning complex behaviours towards the purpose of solving novel problems19.

Similar estimations were made for the seven secondary domains (Table 3). For positive affect (mood), receptive and expressive language and overall behaviour, differences between sites explained between 1.9 and 9.2% of the total variance. The emotional reactivity (14.2%) and negative behaviour (14.1%) domains were the only two in which site differences explained a relatively higher proportion of the total variance (Table 3).

Finally, the same analyses were performed using reported “age at first standing” and “walking alone”, both fundamental motor development milestones. The percentage of the total variance explained by between-site differences was 5.6 and 6.9%, respectively (last two items of Table 3).

As the second strategy to evaluate similarities between study sites, the SSD for each of the 16 developmental domains was estimated for the five sites. The means and SDs were adjusted by sex and age at assessment, expressed as units of the SD of all sites combined (Fig. 2). For the seven primary domains complemented by the two WHO gross motor milestones, there were only two values of the 45 comparisons outside the pre-specified SSD cut-off point of ±0.5 (Brazilian site for fine motor: SSD 0.63 and Indian site for visual acuity: SSD −0.56).

Fig. 2
Fig. 2

Standardised site difference for mean scores of individual domains of the INTERGROWTH-21st Project Neurodevelopment Assessment, Cardiff tests and age of achievement of two WHO gross motor development milestones. The standardised site differences calculated as the site mean of each domain minus the mean for all sites combined divided by the SD of all sites together, adjusted by the age at the time of assessment and sex. Results are shown as: Brazil (green), India (yellow), Kenya (brown), UK (blue) and Italy (red). Sample size according to domain and study site is given in Supplementary Table 2

Considering the seven secondary NDA domains (35 comparisons), there were only three SSD values outside the pre-specified range (Brazilian site for expressive language: SSD 0.68, Kenyan site for negative behaviour: SSD −0.66, and Italian site for emotional reactivity: SSD −0.70) (Fig. 2).


We have presented evidence that healthy, adequately nourished, well-educated pregnant women, recruited from five diverse geographical and cultural study sites, who receive recommended antenatal care, have children that display consistent similarities at 2 years of age across a comprehensive set of neurodevelopmental outcomes. The evidence complements previous reports from the INTERGROWTH-21st Project demonstrating equivalent similarities across these study sites for skeletal growth from the first trimester of pregnancy to 2 years of age9.

In 14 of the 16 domains evaluated, the percentage of variance explained by between-site differences ranged from 1.3% (cognitive score) to 9.2% (behaviour score) of the total variance. Of the 80 comparisons using SSDs, only six were >±0.50 units of the pooled SD for the corresponding item, two of them just marginally outside that limit and without any specific pattern. The percentage of variance explained by site differences in the emotional reactivity and negative behaviour domains (14%) could be because the scoring of these items is more culturally dependent, i.e. negative behaviour could be perceived and hence scored differently across settings20.

It is evident that across developmental and growth parameters, only a very small percentage (around 10%) of the total variance in these fundamental human functions can be explained by differences among these populations (Fig. 3). The present results and previous publications, presented together in Fig. 3, support the position that most of the observed differences in growth and neurodevelopment across general populations or countries are primarily due to socioeconomic, educational and class disparities, i.e. postal codes define the health profiles of humans better than their genetic code21.

Fig. 3
Fig. 3

Variance components analysis of 16 neurodevelopmental domains evaluated in the present study (upper part) and variance components analysis of 7 measures of fetal, newborn, infant and child growth (lower part). Red bars are the % of total variance explained by between sites variability for each domain or growth measure. Data for the seven growth measures: INTERGROWTH-21st Project (eight study sites)2,3,5,9; WHO Multicentre Growth Reference Study (five study sites)8; Habicht et al.41

Our study has some unique features. It is based on a set of multi-site, prospective cohorts that consisted of healthy, adequately nourished, well-educated mothers and their babies, enrolled to test a specific hypothesis, that were followed from early pregnancy to 2 years of age. Anthropometric, visual and gross motor development scores agreed well within recommended limits for normal populations. Detailed information was obtained about the socioeconomic, education and environmental backgrounds of the families selected at both population and individual levels3. All clinical, anthropometric measures, feeding practices and monitoring procedures were rigorously standardised across time and sites. The samples described are not representative of whole countries, regions or cities, nor were they intended to be. Instead, they were specifically selected—reflecting our conceptual approach to the issue—to include geographical areas populated by low-risk pregnant women and their children within each country or city. Hence, the samples are intended to represent a theoretical, healthy, low-risk population—rather than one that includes both low- and high-risk populations—within a country or city.

We initially considered other short assessment tools during the preparation of the study14. While some employ a global approach, our study design required a tool based on a multi-country sample9 that could separately evaluate a range of domains. Moreover, we were interested in combining psychometric methodologies, i.e. the direct administration of tasks, concurrent observation of child performance and caregiver reports, to balance the risk of recall and reporter bias13. Our efforts at scrutinising the pre-existing literature showed that such a tool was not available14. Hence, we developed, standardised and validated a new, domain-focused, culturally neutral, and simple-to-implement assessment tool13,14. For maternally reported items on attentional problems and emotional reactivity, local language versions from validated Child Behaviour Checklist translations were produced22.

We a priori selected a set of seven primary domains and within them, the cognitive domain of the INTER-NDA was considered the primary outcome because its constituent items are directly administered to the child in task-based sequences; it is less affected by cultural factors, and it is scored objectively so it is not affected by recall or parental report bias. The cognitive domain is also strongly associated with adverse pregnancy outcomes such as impaired fetal growth23.

Interestingly, the two language domains were considered a priori secondary outcomes for comparing the cohorts because of their strong association (particularly expressive language) with children’s interactions with their cultural environment and the influence of care providers. However, our observation of similarities in the children’s performance on the language domains suggests that, overall, children may not have differed dramatically in the levels of early stimulation they received from these urban, well-educated families (median of 15 years of maternal formal education) (http://data.uis.unesco.org/Index.aspx?queryid=242).

Alternatively, the findings could support the concept that language acquisition is mostly a function of cognitive maturation24,25, affective and social connectedness to other persons (universal to all cultural contexts) and, as such, children with high levels of cognitive and social functioning would, in most cases, display similarly high levels of language skills26,27.

We selected 2 years of age as the time-point for the key development assessment of the entire study because growth markers at this age have been found to be predictive of intelligence, school performance, adult nutrition and human capital in high-, middle- and low-income settings28,29,30,31,32. Moreover, this is the earliest age at which the assessment of development is not confounded by transient neurological syndromes of prematurity, and at which conventionally used developmental instruments, such as the Bayley Scales of Infant Development, have been found to possess an acceptable level of medium- and long-term predictive validity13,33; this age also corresponds to the end of Piaget’s sensorimotor stage34.

The psychometric properties of the measure we developed, the INTER-NDA, including internal consistency and construct validity, evaluation of its performance using interclass correlations for absolute agreement; Bland−Altman analyses for bias and limits of agreement, and sensitivity and specificity analyses for accuracy, have all been validated against the Bayley Scales of Infant Development14,15.

In our statistical analyses, we adjusted by the age of the child at the developmental assessment, which controls for self-selection of families attending follow-up clinics, i.e. health-care-seeking patterns. We did not adjust for any characteristics at recruitment early in pregnancy as the main hypothesis of the paper is to evaluate the differences among the study samples that were selected using the same entry criteria. We opted for this conservative approach because further adjustment for any “residual confounding” would have made the samples more “artificially” similar.

We successfully evaluated 76% of the eligible children, despite the known difficulties in retaining healthy participants in large-scale, multi-national, follow-up studies. Selection bias is unlikely in view of the baseline similarities between the children evaluated and those lost to follow-up. Unfortunately, we could not include three of the original sites that participated in the INTERGROWTH-21st Project because initiation of the follow-up study was delayed due to the funding process. This reduced the external validity of our observations although we retained five study sites on four continents, with distinct geographical and cultural identities. It also affected the total size of the original cohort; however, this is less relevant to our hypothesis because the comparisons were focused on the sites that contributed data, which retained a large proportion of their original sample.

An additional limitation of the analysis is that we did not have repeated developmental measures: hence, while we were able to estimate the percentage of variance explained by “between sites’ variation”, i.e. the main hypothesis of this study, it would have been informative to estimate the “within site variation” but this requires individual repeated measures at different ages. There are considerable conceptual difficulties in identifying comparable repeated measures of developmental domains at both 1 and 2 years of age. We have, however, recently published results comparing the percentage of “within” versus “between” sites variance for repeated skeletal growth measures, i.e. infant length for the same cohort2. These data for the “between” variance component (5.5% of the total variance for length), that is considerably lower than the “within” variance (42.9% of the total variance for length), are very similar to the results presented here.

An inevitable constraint, inherent in the brief psychometric tools required to evaluate large populations, is that some domains are based on only a few items. This was the case in our study for negative behaviour, positive affect and receptive language, which were evaluated by two items. Therefore, we concentrated our interpretation and conclusions on the consistent similarities observed overall.

Traditionally, developmental comparisons during childhood across populations have been made between developing and developed countries; low and high socioeconomic populations; children of parents with high and medium to low levels of education, or immigrant populations with native children in the USA or Europe35,36,37,38. When attempts were made across contexts to compare levels of parental stimulation, which is key to early child development (ECD), samples have come from very different socioeconomic contexts and likely health conditions39,40. These studies suggested that cognition, language, play and sociability are heavily influenced by the socioeconomic structures of the society in which the children are growing up. Such evidence has been used to explain developmental differences between socioeconomic levels in industrialised societies, where most of the research has been conducted.

We have approached this fundamental question differently, although in a complementary manner. We studied cohorts of healthy, well-educated, adequately nourished women receiving evidence-based pregnancy care from culturally different geographical areas that were selected because of their low morbidity and environmental risks. We have documented that under similar socioeconomic, health and nutrition conditions, there are remarkable similarities in the physical growth of their children up to 2 years of age9, to which we now add evidence of comparable similarities in the attainment of neurodevelopmental functions and associated behaviours.

The initial INTERGROWTH-21st Project publications stressed that the relevant question when comparing healthy, low-risk populations to identify physical growth differences or similarities is: whether or not the variability in skeletal growth within a population, i.e. inter-individual difference, is larger than the variability between populations, i.e. inter-population difference, when nutritional, socioeconomic, environmental and health-care needs are met. There is now consistent evidence that the variability in human skeletal growth within a population is seven times larger than that between populations (genetic variability), which represents less than 10% of the total variance2,8,41,42.

The magnitude of the results presented is entirely consistent with studies of the genetics of human growth. For example, genome-wide association studies (GWAS) testing for common fetal variant effects on birthweight have to date identified as many as 60 associated genetic loci43, and estimation of the variance in birthweight due to a distinct maternal genetic contribution ranges from 3 to 22%43,44. Similarly, GWAS have identified nearly 700 independent variants within over 400 genetic loci that together explain only 20% of the heritability of adult height45.

Interestingly, a very recent report studied a cross-sectional sample of clinically healthy, 0-to-42-month-old children using a short, pre-coded interview with caregivers to assess age of achievement of 106 developmental milestones. The study was conducted in 22 health-care clinics in four diverse low-middle income countries (LMICs) with ethnic, cultural, and language differences46. Using predefined criteria of practical equivalence, almost all milestones at 1 year of age and 76% of the milestones up to 3 years of age were attained at similar ages across the four study sites. Despite the considerable methodological differences with our study, this report provides evidence from four other populations of the similarities of early developmental patterns among healthy children. The authors concluded with the statement that internationally applicable tools were needed to “assess children’s development to guide policy, service delivery, and intervention research that might help narrow the gap between high-income countries and LMICs in addressing early childhood development”.

We agree completely with this statement, especially in the light of the similarities in results obtained for anthropometric measures across populations when health and nutritional needs are met. International prescriptive standards for ECD are recommended for both clinical practice and research as many of the tools currently used are based on very skewed populations from developed countries, which little resemble present, culturally mixed societies. For example, personality tests, which have been used on millions of subjects worldwide, were constructed using a few hundred Swiss-German patients in the 1960s in the case of the Rorschach test, and white, rural, Protestant “Minnesotan normal” hospital visitors in the 1930s in the case of the Minnesota Multiphasic Personality Inventory47,48.

Clearly, in clinical settings, it is important to focus on an individual child as the unit of diagnosis and interventions. At population level, the first step is to identify children at risk, i.e. those that require further assessment and are most likely to benefit from an intervention. However, the heterogeneity of ECD measures presently in use and their reliance on specialists has made it difficult to carry out population-based ECD screening.

Our results strongly support the construction of international, psychometric, ECD standards (manuscript submitted). Our strategy not only provides more variability to the distribution of scores, which is desirable for a first-level screening tool, but also better reflects the underlying constitution of modern multi-cultural societies.

Finally, it is worth noting that we have deliberately avoided reporting the race/ethnicity of the participants despite some widely held beliefs that it influences ECD. We have consistently argued that the use of self-reported race/ethnicity in scientific publications is problematic in most non-isolated populations because, in addition to the inherent biases of self-reporting, there is large ancestral admixture due to global migration, invasions and other population movements. Furthermore, there are at least 116 definitions of self-reported race/ethnicity in the biomedical literature49.

In short, our neurodevelopmental and skeletal growth results from conception to childhood, as well as the genetic evidence summarised by Craig Venter in reference to possible links between race and intelligence: “There is no basis in scientific fact or in the human genetic code for the notion that skin colour will be predictive of intelligence” (https://www.theguardian.com/news/2018/mar/02/the-unwelcome-revival-of-race-science) strongly support our conclusions.


Study subjects

INTERGROWTH-21st was a large, multi-centre, population-based project conducted between 2009 and 2016, in eight delimited geographical areas worldwide. The primary aim was to study growth, health, nutrition and neurodevelopment from early pregnancy to 2 years of age in populations of mothers and children with optimal health. A geographical area was a complete city or county, or part of a city with clear political or geographical limits, located at an altitude <1600 m, with low-risk health indicators for perinatal morbidity and mortality, in which women receiving antenatal care had plans to give birth within the area, that had to be free or have low levels of major, known, non-microbiological contamination3.

The Fetal Growth Longitudinal Study (FGLS), one of the main studies of the INTERGROWTH-21st Project, recruited pregnant women from the aforementioned populations, who met the individual entry criteria of health, nutrition, education, and socioeconomic position, and accurate gestational age estimation. The objective was to construct international standards for gestational weight gain, early and late fetal growth, newborn size and preterm postnatal growth4,5,7,50,51. The cohort enrolled in FGLS was followed up to 2 years of age, and evaluated for their skeletal growth, nutrition, health and the WHO gross motor milestones9,16.

Across all study sites, standardised clinical care and feeding practices were implemented based on protocols developed by the INTERGROWTH-21st Neonatal Group (http://www.intergrowth21.org.uk). Exclusive breastfeeding up to 6 months was promoted for all babies, supplementing preterm infants as recommended52. Standardised information was obtained during pregnancy, at birth and at 1 and 2 years of age on health, anthropometric measures, severe morbidities, length of breastfeeding, timing of the introduction of food, feeding practices and food intake using forms specially produced for the project (www.intergrowth21.org). The baseline characteristics of the full cohort and follow-up methodology have been published recently9.

For the neurodevelopmental evaluation, children were scheduled for assessment at 2 years of age in five of the eight original sites: the cities of Pelotas (Brazil), Turin (Italy), Oxford (UK), the central area of Nagpur (India) and the Parklands suburb of Nairobi (Kenya) using tools specifically developed or selected for this purpose13. All participants were part of the original FGLS cohort and contributed data towards the construction of the international Fetal Growth and the Preterm Postnatal Growth Standards4,7. The sites in China, Oman and the USA did not participate because of logistical and administrative reasons, delays in the start of the study and/or staff availability.

Assessment tools

The INTERGROWTH-21st Neurodevelopment Assessment (INTER-NDA) is a brief, objective tool, measuring multiple dimensions of early development, targeted at children aged 22–30 months13. It was designed to be implemented by non-specialists across international settings14, and includes a reduced number of culture-specific items measuring cognition, expressive and receptive language, motor skills (fine and gross), positive and negative behaviour, attentional problems and social-emotional reactivity (taken from the Child Behavior Checklist)53 using a combination of directly administered, concurrently observed and caregiver reported items. The INTER-NDA has been validated against the Bayley Scales of Infant Development III edition47, showing good to moderate agreement14, and has shown good levels of inter-rater (k = 0.70; 95% CI 0.47–0.88) and test/re-test reliability (k = 0.79; 95% CI 0.48–0.96)13.

The gross motor domain of the INTER-NDA was complemented by the evaluation of the age of achievement of the matching WHO gross motor development milestones “standing alone” and “walking alone”16. Information was obtained at both the 1- and 2-year follow-up visits in order to evaluate consistency. In cases of disagreement (19 cases out of 1292 for “standing alone” and 18 cases out of 1296 for “walking alone”), the 1-year information was selected as the preferred data point.

Vision was assessed using the Cardiff Visual Acuity and Contrast Sensitivity tests17 for binocular vision. These tests are indicators of the integrity of the visual pathway and central nervous system and were considered robust “biological controls”, complementing the fine and gross motor items. Importantly, both tests are directly observed neurodevelopmental markers, unlikely to be affected by cultural influences.

The administration of the INTERGROWTH-21st Neurodevelopment Package was supported by an electronic and tablet-based data collection and management system developed for this study, which contains the INTER-NDA operation manual, visual cues, examples, and fully integrated quality checks13. Staff administering the assessments were aware of the general principles of the Project but not the specific hypothesis being tested. In addition, they were unaware of the INTER-NDA domain and total scores for individual children, as well as for their own and all the other study sites. Data were uploaded to centralised data-servers as soon as each assessment ended. The data management team performed monthly checks on the site-based and centralised databases (www.intergrowth21.org.uk/protocol.aspx?lang=1).

Statistical analyses

The sample studied depended on pragmatic considerations. The present report is the 2-year follow-up of the initial cohort of pregnant women studied from early pregnancy1,8. The total number of eligible children to be measured at 2 years of age was therefore fixed. The sample size estimations of the original cohort (approximately 500 fetuses per site) focused on the precision and accuracy of the extreme centiles of the complete population, i.e. the 3rd or 97th centile because they correspond closely to ±2SD, and they are the recommended cut-offs of the WHO Child Growth Standards, which are used internationally to evaluate children of this age; however, in the present study, such estimations do not apply because of the different nature of the hypothesis.

In this component of the study, the neurodevelopment of 1307 children was evaluated at 2 years of age, an average of 261 children per site. This sample size was considered adequate to explore the predicted small site-specific differences. Post-hoc power calculations showed that the study was sufficiently powered to observe small differences among study sites (calculations for all domains with power >0.99) and small effect sizes for the between-group variances. For example, for a between-group variance of 10% of the total variance and a two-tail alpha of 0.05, the power is 0.84.

Primary comparisons across sites were conducted using the average values of cognition, attentional problems, fine motor, and gross motor, visual acuity and contrast sensitivity scores. Expressive language, receptive language, positive, negative and total behaviour, and social-emotional reactivity were considered secondary outcomes. Members of the original INTERGROWTH-21st Neuro-developmental Group selected these two groups of outcomes on an a priori basis, founded on the literature and relative robustness of items used to assess the primary outcomes to cultural influence.

Among the primary domains, the cognitive was also considered a priori to be the most appropriate single primary outcome because its constituent items are directly administered to the child in task-based sequences and are, therefore, unaffected by recall or parental reporter bias. Furthermore, consistent associations between prenatal/perinatal outcomes and cognitive scores at 2 years of age have been reported54,55,56,57.

On the basis of our previous publications and WHO recommendations for comparing the similarities in growth across populations2,4,5,8, we used variance components analysis to calculate the percentage of total variance due to between-country differences for each of the domains and the two visual tests. Variance components were calculated by nonparametric generalised linear mixed models (using the STATA package GLLAMM), which included as covariates sex, fetal head circumference obtained between 26 and 34 weeks’ gestation (expressed as z-scores of the international INTERGROWTH-21st Standards), age at assessment in months and weeks and 2-year length and head circumference (expressed as z-scores of the WHO Child Growth Standards). These variables were included as fixed effects with study site as random effect. The method was chosen because it assumes a discrete instead of a Gaussian distribution of the random effects and showed better fit than Maximum Likelihood and Restricted Maximum Likelihood models according to the lower Akaike information and Bayesian information criteria.

In addition, for each of the domains and visual tests, SSD were calculated as the difference between the mean from a given site and the mean of all sites together, expressed as a proportion of the SD of the pooled data across sites for each specific domain; means and SDs were adjusted by sex and age at examination (centred on 24 months of age). As pre-specified in the INTERGROWTH-21st Project protocol and recommended by WHO8, SSD values in the range of ±0.5 units of the pooled SD were taken as adequate to determine whether the data from all sites could be pooled58.

For all analyses, Stata 15 software was used (StataCorp. 2017. Stata Statistical Software: Release 15. StataCorp LLC, College Station, TX). Data were entered locally into the specially developed, online data management system (http://medscinet.com).

The INTERGROWTH-21st Project was approved by the Oxfordshire Research Ethics Committee “C” (reference: 08/H0606/139), the research ethics committees of the individual institutions and the regional health authorities where the project was implemented. Written informed consent was obtained from all participants. The sponsors had no role in the study design, data collection, analysis, interpretation of the data, or writing of the paper. The following authors had access to the full raw dataset: J.V., E.S.U., E.O. and S.K. The corresponding author had full access to all the data and final responsibility for submitting the paper.

Reporting summary

Further information on experimental design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Journal peer review information: Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


  1. 1.

    Garza, C. & de Onis, M. Rationale for developing a new international growth reference. Food Nutr. Bull. 25, S5–S14 (2004).

  2. 2.

    Villar, J. et al. The likeness of fetal growth and newborn size across non-isolated populations in the INTERGROWTH-21st Project: the Fetal Growth Longitudinal Study and Newborn Cross-Sectional Study. Lancet Diabetes Endocrinol. 2, 781–792 (2014).

  3. 3.

    Villar, J. et al. The objectives, design and implementation of the INTERGROWTH-21st Project. BJOG 120(Suppl 2), 9–26 (2013).

  4. 4.

    Papageorghiou, A. T. et al. International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project. Lancet 384, 869–879 (2014).

  5. 5.

    Villar, J. et al. International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project. Lancet 384, 857–868 (2014).

  6. 6.

    Villar, J. et al. Body composition at birth and its relationship with neonatal anthropometric ratios: the newborn body composition study of the INTERGROWTH-21st Project. Pediatr. Res. 82, 305–316 (2017).

  7. 7.

    Villar, J. et al. Postnatal growth standards for preterm infants: the Preterm Postnatal Follow-up Study of the INTERGROWTH-21st Project. Lancet Glob. Health 3, e681–e691 (2015).

  8. 8.

    de Onis, M., Garza, C., Onyango, A. W. & Martorell, R. WHO Child Growth Standards. Acta Paediatr. Suppl. 450, 1–101 (2006).

  9. 9.

    Villar, J. et al. The satisfactory growth and development at 2 years of age of the INTERGROWTH-21st Fetal Growth Standards cohort support its appropriateness for constructing international standards. Am. J. Obstet. Gynecol. 218, S841–S854 (2018).

  10. 10.

    WHO. An evaluation of infant growth: the use and interpretation of anthropometry in infants. WHO Working Group on Infant Growth. Bull. World Health Organ. 73, 165–174 (1995).

  11. 11.

    Knickmeyer, R. C. et al. A structural MRI study of human brain development from birth to 2 years. J. Neurosci. 28, 12176–12182 (2008).

  12. 12.

    Tanner, J. M. Fetus into Man: Physical Growth from Conception to Maturity (Harvard University Press, Cambridge, MA, 1990).

  13. 13.

    Fernandes, M. et al. The INTERGROWTH-21st Project Neurodevelopment Package: a novel method for the multi-dimensional assessment of neurodevelopment in pre-school age children. PLoS ONE 9, e113360 (2014).

  14. 14.

    Murray, E. et al. Evaluation of the INTERGROWTH-21st Neurodevelopment Assessment (INTER-NDA) in 2 year-old children. PLoS ONE 13, e0193406 (2018).

  15. 15.

    Slim, J. et al. Individual or group-based approach to the assessment of preschool children: a comparison using the INTERGROWTH-21st Neurodevelopment Assessment (INTER-NDA). Int. J. Growth Dev. 2, 11–33 (2018).

  16. 16.

    WHO Multicentre Growth Reference Study Group. WHO Motor Development Study: windows of achievement for six gross motor development milestones. Acta Paediatr. Suppl. 450, 86–95 (2006).

  17. 17.

    Adoh, T. O., Woodhouse, J. M. & Oduwaiye, K. A. The Cardiff Test: a new visual acuity test for toddlers and children with intellectual impairment. A preliminary report. Optom. Vis. Sci. 69, 427–432 (1992).

  18. 18.

    McGuigan, N. & Núñez, M. Executive functioning by 18-24 month-old children: effects of inhibition, working memory demands and narrative in a novel detour‐reaching task. Inf. Child Dev. 15, 519–542 (2006).

  19. 19.

    Garon, N., Bryson, S. E. & Smith, I. M. Executive function in preschoolers: a review using an integrative framework. Psychol. Bull. 134, 31–60 (2008).

  20. 20.

    Bornstein, M. H. & Lansford, J. E. in The Handbook of Cultural Developmental Science. Part 1: Domains of Development Across Cultures (ed. Bornstein, M. H.) Ch. 14 (Psychology Press, New York, NY, USA, 2010).

  21. 21.

    Graham, G. N. Why your ZIP code matters more than your genetic code: promoting healthy outcomes from mother to child. Breastfeed. Med 11, 396–397 (2016).

  22. 22.

    Nolan, T. M. et al. Child Behaviour Checklist classification of behaviour disorder. J. Paediatr. Child Health 32, 405–411 (1996).

  23. 23.

    Walker, S. P. et al. Child development: risk factors for adverse outcomes in developing countries. Lancet 369, 145–157 (2007).

  24. 24.

    Stromswold, K. in The New Cognitive Neurosciences (ed. Gazzaniga, M. S.) 909−932 (MIT Press, Cambridge, MA, 2000).

  25. 25.

    Chomsky, N. Knowledge of Language: Its Nature, Origin and Use (Praeger, New York, 1986).

  26. 26.

    McNeill, D. The Acquisition of Language: The Study of Developmental Psycholinguistics (Harper and Row, New York, 1970).

  27. 27.

    Bloom, L. in Handbook of Child Psychology Vol. II (eds Kuhn, D. & Siegler, R.) Ch. Cognition, perception, and language, 309−370 (John Wiley & Sons, Hoboken, NJ, 1998).

  28. 28.

    Daniels, M. C. & Adair, L. S. Growth in young Filipino children predicts schooling trajectories through high school. J. Nutr. 134, 1439–1446 (2004).

  29. 29.

    Feinstein, L. Inequality in the early cognitive development of British children in the 1970 cohort. Economica 70, 73–97 (2003).

  30. 30.

    Victora, C. G. et al. Maternal and child undernutrition: consequences for adult health and human capital. Lancet 371, 340–357 (2008).

  31. 31.

    Mendez, M. A. & Adair, L. S. 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 (1999).

  32. 32.

    Glewwe, P., Jacoby, H. G. & King, E. M. Early childhood nutrition and academic achievement: a longitudinal analysis. J. Pub. Econ. 81, 345–368 (2001).

  33. 33.

    Marlow, N. et al. Report of a BAPM/RCPCH Working Group: Classification of health status at 2 years as a perinatal outcome. 23 (British Association of Perinatal Medicine, London, UK, 2008).

  34. 34.

    Piaget, J. & Cook, M. T. The Origins of Intelligence in Children (International Universities Press, New York, NY, USA, 1952).

  35. 35.

    Rogoff, B., Mistry, J., Goncu, A. & Mosier, C. Guided participation in cultural activity by toddlers and caregivers. Monogr. Soc. Res. Child Dev. 58, 1–174 (1993). v-vi.

  36. 36.

    Bock, J. Learning, life history, and productivity: children’s lives in the Okavango Delta, Botswana. Hum. Nat. 13, 161–197 (2002).

  37. 37.

    Roopnarine, J. L. & Jin, B. Indo Caribbean imigrant beliefs about play and its impact on early academic performance. Am. J. Play 4, 441–463 (2012).

  38. 38.

    Shariff, Z. M., Bond, J. T. & Johnson, N. E. Nutrition and educational achievement of urban primary schoolchildren in Malaysia. Asia Pac. J. Clin. Nutr. 9, 264–273 (2000).

  39. 39.

    Karasik, L. B., Tamis-LeMonda, C. S., Adolph, K. E. & Bornstein, M. H. Places and postures: a cross-cultural comparison of sitting in 5-month-olds. J. Cross Cult. Psychol. 46, 1023–1038 (2015).

  40. 40.

    Bornstein, M. H., Putnick, D. L., Cote, L. R., Haynes, O. M. & Suwalsky, J. T. Mother−infant contingent vocalizations in 11 countries. Psychol. Sci. 26, 1272–1284 (2015).

  41. 41.

    Habicht, J. P., Martorell, R., Yarbrough, C., Malina, R. M. & Klein, R. E. Height and weight standards for preschool children. How relevant are ethnic differences in growth potential? Lancet 1, 611–614 (1974).

  42. 42.

    Villar, J. et al. Monitoring human growth and development: a continuum from the womb to the classroom. Am. J. Obstet. Gynecol. 213, 494–499 (2015).

  43. 43.

    Horikoshi, M. et al. Genome-wide associations for birth weight and correlations with adult disease. Nature 538, 248–252 (2016).

  44. 44.

    Beaumont, R. N. et al. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics. Hum. Mol. Genet. 27, 742–756 (2018).

  45. 45.

    Wood, A. R. et al. Defining the role of common variation in the genomic and biological architecture of adult human height. Nat. Genet. 46, 1173–1186 (2014).

  46. 46.

    Ertem, I. O. et al. Similarities and differences in child development from birth to age 3 years by sex and across four countries: a cross-sectional, observational study. Lancet Glob. Health 6, e279–e291 (2018).

  47. 47.

    Bayley, N. Bayley Scales of Infant and Toddler Development. 3rd edn (Harcourt Assessment, San Antonio, TX, USA, 2006).

  48. 48.

    Anderson, P. J. et al. Underestimation of developmental delay by the new bayley-iii scale. Arch. Pediatr. Adolesc. Med. 164, 352–356 (2010).

  49. 49.

    Ma, I. W., Khan, N. A., Kang, A., Zalunardo, N. & Palepu, A. Systematic review identified suboptimal reporting and use of race/ethnicity in general medical journals. J. Clin. Epidemiol. 60, 572–578 (2007).

  50. 50.

    Cheikh Ismail, L. et al. Gestational weight gain standards based on women enrolled in the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project: a prospective longitudinal cohort study. BMJ 352, i555 (2016).

  51. 51.

    Papageorghiou, A. T. et al. International standards for early fetal size and pregnancy dating based on ultrasound measurement of crown-rump length in the first trimester of pregnancy. Ultrasound Obstet. Gynecol. 44, 641–648 (2014).

  52. 52.

    Cheikh Ismail, L. et al. Preterm feeding recommendations are achievable in large-scale research studies. BMC Nutr. 2, 9 (2016).

  53. 53.

    Koot, H. M., Van Den Oord, E. J., Verhulst, F. C. & Boomsma, D. I. Behavioral and emotional problems in young preschoolers: cross-cultural testing of the validity of the Child Behavior Checklist/2-3 J. Abnorm Child Psychol. 25, 183–196 (1997).

  54. 54.

    Bhutta, A. T., Cleves, M. A., Casey, P. H., Cradock, M. M. & Anand, K. J. Cognitive and behavioral outcomes of school-aged children who were born preterm: a meta-analysis. JAMA 288, 728–737 (2002).

  55. 55.

    Patra, K., Wilson-Costello, D., Taylor, H. G., Mercuri-Minich, N. & Hack, M. Grades I-II intraventricular hemorrhage in extremely low birth weight infants: effects on neurodevelopment. J. Pediatr. 149, 169–173 (2006).

  56. 56.

    Eixarch, E. et al. Neurodevelopmental outcome in 2-year-old infants who were small-for-gestational age term fetuses with cerebral blood flow redistribution. Ultrasound Obstet. Gynecol. 32, 894–899 (2008).

  57. 57.

    Johnson, S. Cognitive and behavioural outcomes following very preterm birth. Semin Fetal Neonatal Med 12, 363–373 (2007).

  58. 58.

    Cohen, J. Statistical Power Analysis for the Behavioral Sciences. 2nd edn (L. Erlbaum Associates, Hillsdale, NJ, 1988).

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This study was funded by the INTERGROWTH-21st grant 49038 from the Bill & Melinda Gates Foundation to the University of Oxford; we gratefully acknowledge their support. A.P. is supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC). M.F. is supported by an NIHR Academic Clinical Fellowship.

Author information

Author notes

  1. These authors contributed equally: Alan Stein, Zulfiqar Bhutta, Stephen Kennedy.


  1. Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, OX3 9DU, UK

    • José Villar
    • , Michelle Fernandes
    • , Eleonora Staines-Urias
    • , Sophie Temple
    • , Tamsin Sandells
    • , Eric Ohuma
    • , Ann Lambert
    • , Aris Papageorghiou
    •  & Stephen Kennedy
  2. Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, OX2 6HG, UK

    • José Villar
    • , Aris Papageorghiou
    •  & Stephen Kennedy
  3. Department of Paediatrics, University Hospital Southampton, Southampton, SO16 6YD, UK

    • Michelle Fernandes
  4. Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, 440012, Maharashtra, India

    • Manorama Purwar
    •  & Naina Kunnawar
  5. Ospedale Infantile Regina Margherita-Sant’Anna Citta della Salute e della Scienza di Torino, Torino, 10126, Italy

    • Paola Di Nicola
    •  & Francesca Giuliani
  6. College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates

    • Leila Cheikh Ismail
  7. Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya

    • Roseline Ochieng
    •  & Maria Carvalho
  8. Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, 96015-560, Brazil

    • Fernando Barros
  9. Faculty of Medicine, Universidade Federal de Pelotas, Pelotas, 96015-560, Brazil

    • Elaine Albernaz
  10. Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, 96010-610, Brazil

    • Cesar Victora
  11. Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK

    • Eric Ohuma
  12. Department of Family & Community Health, Ministry of Health, Muscat, Sultanate of Oman

    • Yasmin Jaffer
  13. Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK

    • Alison Noble
  14. Global Alliance to Prevent Prematurity and Stillbirth (GAPPS), Seattle Children’s, Seattle, 98105, WA, USA

    • Michael Gravett
  15. School of Public Health, Peking University, Beijing, 100191, China

    • Ruyan Pang
  16. Dipartimento di Scienze Pediatriche e dell’ Adolescenza, SCDU Neonatologia, Universita di Torino, Torino, 10126, Italy

    • Enrico Bertino
  17. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA

    • Cutberto Garza
  18. Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK

    • Alan Stein
  19. Center for Global Child Health, Hospital for Sick Children, Toronto, M5G 2L3, Canada

    • Zulfiqar Bhutta


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J.V. and S.K. conceptualised and designed the INTERGROWTH-21st Project. J.V., S.K., and A.N. prepared the original protocol, with later input from A.P., L.C.I., F.B., and Z.B. J.V., A.P., L.C.I., A.L., and Z.B. supervised and coordinated the Project’s overall undertaking. E.S.U. and E.O. carried out data management and analysis in collaboration with J.V. R.P., F.B., M.G., M.C., Y.J., E.B., M.P. collaborated in the overall project and implemented it in their respective countries. P.Di.N., S.T., T.S., R.O., N.K. and E.A. performed the neurodevelopment assessments. M.F. and A.S. led the neurodevelopment assessment component. F.G. assisted in the global coordination of the project. J.V. and S.K. wrote the report with significant contributions by C.G., C.V., and F.B. All co-authors read the report and made suggestions on its content.

Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to José Villar.

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