Longitudinal growth of very low birth weight neonates during first year of life and risk factors for malnutrition in a developing country

Head circumference at birth and postnatal growth trajectory in vulnerable groups from Argentina

OBJECTIVES

To investigate the association between the anthropometric status at birth and brain and bone growth during the first year of life. According to the brain-sparing hypothesis, we expect catch-up to be faster in head circumference (HC) than in body length.

METHODS

This is a longitudinal design that included Argentinian infants under 12 months of age with at least three anthropometric records. We classified study participants into four growth status categories according to z-scores for HC (HCZ) and length (LAZ) at birth, with z-score = -2 as a threshold. We used the Count model to describe growth trajectories in HC and length in the first year of life according to the growth status at birth. Recovery indicator for HC and length was taken as the time until the predicted growth trajectory surpassed the threshold curve predicted by z-score = -2 for age.

RESULTS

Growth models included 3399 infants. There were significant differences in the growth parameters between groups in all cases (p < 0.05). Within the group with a low HCZ and a low LAZ at birth, HC recovery was faster than length. In the case of a low z-score for only one of the variables, newborns with a low HCZ recovered faster than individuals born with a low LAZ.

CONCLUSIONS

The postnatal growth pattern in HC and length is associated with the growth status of HC and length at birth. As we hypothesized, the fastest postnatal recovery occurs for HC in cases of intrauterine delayed growth.

Turning the Gaze from Survive to Thrive for Children in India: Learnings from Two Case Studies

Despite significant efforts and progress made in newborn care programs in India, implementation gaps persist across the continuum of care. The present case studies of two districts in Himachal Pradesh revealed that pathways of care were often fragmented with inconsistent linkages between facility and community due to poor documentation, lack of tiered referral, health system weaknesses, low utilization of primary level institutions, and inadequate post-natal home visits by Accredited Social Health Activists (ASHAs). Involvement of healthcare providers (HCPs) and frontline health workers (FHWs) was low and uneven in generating awareness across the districts with limited participation in supporting care in the community. Ensuring functionality of health centers and first-level care facilities; strengthening referral systems; adequate/trained human resources; strengthening routine health management systems, discharge processes and community-based care with adequate integration with facilities are necessary in closing access gaps.

Predictive factors of catch-up growth in term, small for gestational age infants: a two-year prospective observational study in Algeria

OBJECTIVES

Most small for gestational age (SGA) infants show catch-up growth but the minority who do not may benefit from growth-promoting treatment. We determined the prevalence of, and risk factors for, failure to show catch-up growth in term SGA infants.

METHODS

Prospective observational study of infants born at 37-42 weeks gestation between December 2012 and March 2014 with birth weight <10th percentile. Length, weight and head circumference were measured from birth to 2 years.

RESULTS

Of 457 (3.9 %) term infants with SGA, 446 (97.6 %) were followed up until 2 years. At 24 months, supine length, weight and head circumference were ≥-2 standard deviation score (SDS) in 87.9 , 96.4 and 97.1 % subjects, with persistent short stature in 12.1 %. In a multivariate analysis, the independent predictors of failure to show catch-up growth at 24 months were: maternal height <150 cm, difference between mid-parental height and birth length of ≥2.2 SDS, height at 24 months <-2 SDS below mid-parental height SDS, history of SGA, ponderal index <3rd centile and duration of breast feeding <3 months.

CONCLUSIONS

This study provides data concerning the epidemiology of SGA in Algeria and the factors associated with post-natal growth. Establishing which children remain short at 2 years has identified a cohort of patients requiring continuing follow up, with a view to instituting growth hormone therapy in selected cases. These results favour the setting up of an integrated national program to register SGA infants at birth, with re-evaluation at 2 years. (250 words).

Growth Pattern of Preterm Neonates with Fetal Growth Restriction: A Prospective Cohort Study

OBJECTIVES

To compare the growth of preterm neonates with fetal growth restriction (FGR) and preterm neonates born appropriate-for-gestational-age (AGA) from birth to 12-18 mo of corrected age (CA).

METHODS

In this prospective cohort study, 85 preterm neonates with FGR and 85 gestation- and gender-matched AGA neonates were followed up from birth till 12-18 mo corrected age. Anthropometric indices were compared at specific time points and the risk factors for underweight status were analyzed.

RESULTS

Mean gestational age of the cohort was 32.8 ± 2.1 wk. Mean birth weight was 1414 ± 248 g in the FGR and 1806 ± 416 g in AGA neonates. At 12-18 mo of corrected age, a significantly greater proportion of FGR infants were wasted (24.3% vs. 7.2%, P = 0.005). A greater proportion of FGR infants were underweight (27% vs. 17.4%, P = 0.11), stunted (41.9% vs. 36.2%, P = 0.30), and microcephalic (27% vs. 23.1%, P = 0.36), although the differences were not statistically significant. Significant catch-up growth from 40 wk postmenstrual age (PMA) to 12-18 mo corrected age in weight (52.8% vs. 13.1%, P <0.001) and length (37.9% vs. 8.7%, P <0.001) was observed in the FGR neonates. The z-score of weight for age at 3 mo (adjusted OR 0.65, 95% CI: 0.52-0.8; P <0.001), the median time to full feeds (aOR: 1.10, 95% CI: 1.04-1.15; P = 0.001), and hypothyroidism (aOR 2.44, 95% CI: 1.46-4.08; P = 0.001), were independent predictors of underweight status at 12-18 mo.

CONCLUSIONS

At 12-18 mo of corrected age, a significantly greater proportion of preterm FGR neonates were wasted compared to AGA ones. The former also exhibited significantly greater catch-up growth than the latter.

Resuscitation in the “Periviable” Period—Commentary of Opposing Views

The periviable period is defined as delivery between 20 0/7 weeks and 25 6/7 weeks of gestation. It has long been considered a “gray area,” as there are still no clear guidelines on initial resuscitation and subsequent treatment of the newborn. This lack of guidance compounds the uncertainty in decision-making in low- and middle-income countries with limited resources. The decision to treat or not has far-reaching economic, social, cultural, and sometimes even religious implications for the parents and family. This review explores the perspectives of parents, caregivers, and policymakers in detail to utilize the existing evidence better. We present arguments for and against resuscitation in the periviable period, discussing concerns surrounding neurodevelopmental outcomes, cost, parental concerns, nonuniformity of evidence, and ethical considerations. A large survival gap exists between developed and developing countries, and the infrastructure and clinical care network in low- and middle-income country are not strong enough to provide adequate support for these infants and their families. Antenatal factors, socioeconomic and cultural issues, center capacity, and resuscitation capacity of birthing centers should be considered when making decisions. The neonatologists are expected to be impartial, provide information, and not advise based on their beliefs and outlook; while preserving the autonomy of parents. The only way forward is for parents and caregivers to work together to develop a logical and ethical approach that can be accepted as national and institutional policies.

Pooled prevalence and associated factors of chronic undernutrition among under-five children in East Africa: A multilevel analysis

BACKGROUND

Childhood undernutrition is the leading cause of under-five mortality and morbidity in the world particularly in East African countries. Although there are studies on child undernutrition in different East African countries, our search of the literature revealed that there is limited evidence of a pooled analysis of these studies. Therefore, this study aimed to investigate the pooled prevalence and associated factors of chronic undernutrition (i.e. stunting) among under-five children in East Africa.

METHODS

A pooled analysis of the Demographic and Health Surveys (DHSs) in 12 East African countries was conducted. A total weighted sample of 79744 under-five children was included in the study. Mixed-effect logistic regression analysis was used to identify significant factors associated with chronic undernutrition since the DHS data has a hierarchical structure. The intra-class correlation coefficient (ICC), Median Odds Ratio (MOR), Likelihood Ratio (LR)-test, and deviance was used for model comparison. Variables with p-value <0.2 in the bivariable mixed-effect logistic regression analysis were considered for the multivariable analysis. In the multivariable multilevel analysis model, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) were reported for significant factors.

RESULTS

The pooled prevalence of chronic undernutrition among underfive children in East Africa was 33.3% (95% CI: 32.9%, 35.6%) ranging from 21.9% in Kenya to 53% in Burundi. Children whose mothers lived in rural area (AOR = 1.11, 95% CI: 1.06, 1.16), born to mother who had no formal education (AOR = 1.42, 95% CI: 1.34, 1.50) and primary education (AOR = 1.37, 95% CI: 1.31, 1.44), being in poor household (AOR = 1.66, 95% CI: 1.58, 1.74), and middle household (AOR = 1.42, 95% CI: 1.35, 1.49), child aged 36-48 months (AOR = 1.09, 95% CI: 1.04, 1.14), being male (AOR = 1.19, 95% CI: 1.15, 1.23), 2nd - 4th birth order (AOR = 1.08, 95% CI: 1.03, 1.13), and above 4th 1.27 (AOR = 1.27, 95% CI: 1.19, 1.35), home delivery 1.09 (AOR = 1.09, 95% CI: 1.05, 1.13), small size at birth (AOR = 1.35, 95% CI: 1.29, 1.40) and being multiple births (AOR = 1.98, 95% CI: 1.81, 2.17) were associated with increased odds of stunting. While, antenatal care visit (AOR = 0.89, 95% CI: 0.86, 0.93), mothers aged 25-34 (AOR = 0.83, 95% CI: 0.79, 0.86) and ≥ 35 years (AOR = 0.76, 95% CI: 0.72, 0.81), large size at birth (AOR = 0.85, 95% CI: 0.81, 0.88), and family size >8 (AOR = 0.92, 95% CI: 0.87, 0.98) were associated with decreased odds of stunting.

CONCLUSION

The study revealed that stunting among under-five children remains a major public health problem in East Africa. Therefore, to improve child nutrition status the governmental and non-governmental organizations should design public health interventions targeting rural residents, and the poorest households. Furthermore, enhancing health facility delivery, ANC visit, and maternal health education is vital for reducing child chronic undernutrition.

Protein and energy intake and nutritional evolution of preterm infants after hospital discharge: A longitudinal study

BACKGROUND

Preterm infants, especially those with very low birth weight, are more susceptible to nutritional deficiencies and growth restriction after hospital discharge than term infants.

AIMS

To investigate the association between energy and protein intake and nutritional evolution of preterm infants during the first year of life of corrected age after hospital discharge.

STUDY DESIGN

This is a retrospective longitudinal study with 131 preterm infants born at a high-risk neonatal clinic.

SUBJECTS

Neonates born at <32 weeks of gestational age and with birth weight < 1500 g were included in the study.

OUTCOMES MEASURES

Growth was assessed by z-scores for weight- and length-to age. Energy and protein intake were assessed by caloric and protein intake rate per kilogram of body weight. Changes in growth were evaluated according to caloric rate and energy intake using linear mixed-effect models.

RESULTS

We found that most of the followed-up children (62.3%) had an average daily energy intake <120 kcal/kg of body weight. At the end of the first year of life based on corrected age, the variation in weight gain was greater among those with more severe nutritional deficit at born and who had daily intakes over 130 kcal/kg of body weight (p=0.02) or over 3.5 g of protein/kg of body weight (p=0.03).

CONCLUSION

Individualized dietary plans for preterm infants should be based on the continuous assessment of growth and weight gain.

First-year growth of 834 preterm infants in a Chinese population: a single-center study

BACKGROUND

The aim of this study was to follow the growth and hematological indicators of preterm infants during their first year.

METHODS

Neonates below 37 gestational weeks had routine follow-ups up through 1 year from January 2012 to December 2015 at West China 2nd University Hospital, Sichuan University. Weight, length and head circumference (HC) were measured monthly during the first 6 months, followed by monitoring every second month until 12 months. The catch-up growth defined as a gain of Z-score > 0.67 according to previous study. All preterm infants were prescribed iron prophylaxis based on national guideline. The hemoglobin concentration was examined at 6 and 12 months.

RESULTS

Altogether, 132 very-low-birth-weight (VLBW), 504 low-birth-weight (LBW) and 198 normal-birth-weight (NBW) infants were followed. The rates of catch-up growth for weight, length and HC 12 months of corrected age (CA) were 22.6, 29.1 and 14.6%, respectively. SGA and VLBW infants showed higher catch-up growth rates. The overall prevalence of anemia was 6.8% at 6 months and 7.8% at 12 months. The Z-scores for weight-for-length, length and HC were lower in the VLBW and SGA preterm infant groups than in the other preterm groups throughout the first year of life. The incidences of stunting, microcephaly and wasting changed from 5, 1.3 and 3.7% to 2, 1.1, 0.9 and 2.4%, respectively, during the first year. However, the incidences of wasting and stunting were higher for the VLBW infants than for the LBW and NBW infants at 12 months (9.3% vs. 1.4%, p < 0.01; 9.3% vs. 1%, p < 0.01,respectively; 4.7% vs. 0.8%, p < 0.01, 4.7% vs. 0%, p < 0.01,respectively). Similar results were observed between SGA and AGA infants (8.7% vs. 1.5%, p < 0.01; 5.8% vs. 0.4%, p < 0.01). Logistic regression revealed SGA and VLBW as risk factors for poor growth (WLZ < -2SD) at 12 months (OR = 5.5, 95% CI: 2.1-14.8, p < 0.01: OR = 4.8, 95% CI: 1.8-12.8, p < 0.01, respectively).

CONCLUSION

The VLBW and SGA preterm infants showed significant catch-up growth during their first year of life. However, SGA and VLBW were risk factors for poor growth during the preterm infants' first year of life. Prophylactic iron supplementation in preterm infants appears to reduce the prevalence of anemia.

Relative contributions of the correlates of stunting in explaining the mean length-for-age z-score difference between 24-month-old stunted and non-stunted children living in a slum of Dhaka, Bangladesh: results from a decomposition analysis

OBJECTIVE

Using MAL-ED (Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health) Bangladesh birth cohort data, we sought to measure the relative contributions of the most predictive correlates of stunting to mean length-for-age z (LAZ) score difference between stunted and non-stunted children at 24 months of age.

SETTING

Dhaka, Bangladesh PARTICIPANTS: 211 slum-dwelling children enrolled within 17 days of their birth.

VARIABLES AND METHOD

The explanatory variables were identified from the following groups: maternal characteristics, birth characteristics, macronutrient intake, socioeconomic status, morbidity and serum micronutrient level. At step 1, predictive correlates of stunting were identified longitudinally (from 9 to 24 months of age) using generalized estimating equations (GEE) model. Then, the relative contributions of the most predictive correlates of stunting to mean LAZ score difference between stunted and non-stunted children at 24 months of age was measured using Blinder-Oaxaca decomposition analysis RESULTS: The GEE multivariable model identified maternal height, birth weight, people per room, gender, having separate room for kitchen and energy intake as the most predictive correlates of stunting. At 24 months, mean LAZ score difference between stunted and non-stunted children was 1.48. The variable by variable decomposition of the LAZ gap identified maternal height (coefficient: -3.04; 95% CI: 0.35 to -6.44), birth weight (coefficient: -0.21; 95% CI: 0.88 to -1.30), people per room (coefficient: 0.31; 95% CI: 0.92 to -0.30) and energy intake (coefficient: -0.12; 95% CI: 0.22 to -0.46) as the top most factors responsible for the mean LAZ score difference between stunted and non-stunted children at 24 months of age.

CONCLUSIONS

The relative contributions of maternal height and birth weight to LAZ gap signifies that improvement in nutritional status of a women during her adolescence and pregnancy would have an impact on birth weight of her offspring, and ultimately, on linear growth of the child.

Factors affecting the catch-up growth of preterm infants after discharge in China: a multicenter study based on the health belief model

BACKGROUND

The purpose of this study was to analyze the growth status and to identify the risk factors that influence the catch-up growth of preterm infants after discharge and to provide evidence for feeding strategies and the need for further research.

METHODS

A descriptive correlational analysis was applied. The sample consisted of 309 preterm infants and their caregivers selected from June to August 2017 from five women's and children's hospitals. Self-designed questionnaires based on knowledge, attitude and practice and the Health Belief Model (HBM) were used to measure the catch-up growth status of preterm infants after discharge. Logistic regression was used to determine the risk factors for the catch-up growth of preterm infants.

RESULTS

The results showed that of 309 preterm infants, only 14 (4.5%) were underweight, and 52 (17.4%) did not meet the criteria for catch-up growth at 12 months of actual age. The logistic regression analysis showed that gestational age, regular health care, caregivers' educational background, mothers' daily contact with the baby, monthly average family income, the addition of a breast milk supplement, and daily milk volume were risk factors that affected the catch-up growth of preterm infants after discharge.

CONCLUSIONS

The rate of catch-up growth of preterm infants is still not high. We should pay much more attention to preterm infants of small gestational age and guide their child care on a regular basis to detect and correct risk factors in a timely fashion, especially those involving lower daily milk volume, lower degree of culture and family economic difficulties. Second, we suggest that the government publish relevant policy that appropriately increases the length of maternity leave for preterm mothers. Future studies should have larger sample sizes and explore other important factors influencing the catch-up growth of preterm infants.

Is there a female disadvantage in child undernutrition in South India?: Exploring gender differences in height in infancy, childhood, and adolescence in Andhra Pradesh and Telangana

OBJECTIVE

The aim of this study was to investigate whether gender-based disparities in health and well-being extend to a female disadvantage in height in infancy, childhood, and adolescence in Andhra Pradesh and Telangana.

METHODS

Using longitudinal data from the Young Lives study in Andhra Pradesh and Telangana, India, linear mixed effects and linear regression models examined associations between gender and height and the modifying influences of birth order and older siblings' gender composition.

RESULTS

In the younger cohort, at 6-18 months, girls were 0.17-SDs of height for age z-scores (HAZ) taller than boys (P = .01). In the same cohort, the girls' advantage in HAZ was attenuated to 0.02 (P = .58) by 11-12 years. In the older cohort, the difference in HAZ between girls and boys was 0.04 (P = .61) at the beginning of the study when they were 7-8 years old; by 18-19 years of age, the difference had switched, with boys being 0.22-SD (P = .05) taller. There was no difference by birth order except in the younger cohort in which children with 2 or more siblings experienced height deficits compared with only children at 7-8 and 11-12 years. There was no differential effect of gender by birth order nor by the gender composition of siblings.

CONCLUSION

A female disadvantage in undernutrition, as manifest in differences between girls and boys in HAZ, did not appear until later ages. Identifying how and why gendered disparities in standardized height emerge in late adolescence will help target more resources to improve conditions for girls and women in south India.

Practical Application of Linear Growth Measurements in Clinical Research in Low- and Middle-Income Countries

BACKGROUND/AIMS

Childhood stunting is a prevalent problem in low- and middle-income countries and is associated with long-term adverse neurodevelopment and health outcomes. In this review, we define indicators of growth, discuss key challenges in their analysis and application, and offer suggestions for indicator selection in clinical research contexts.

METHODS

Critical review of the literature.

RESULTS

Linear growth is commonly expressed as length-for-age or height-for-age z-score (HAZ) in comparison to normative growth standards. Conditional HAZ corrects for regression to the mean where growth changes relate to previous status. In longitudinal studies, growth can be expressed as ΔHAZ at 2 time points. Multilevel modeling is preferable when more measurements per individual child are available over time. Height velocity z-score reference standards are available for children under the age of 2 years. Adjusting for covariates or confounders (e.g., birth weight, gestational age, sex, parental height, maternal education, socioeconomic status) is recommended in growth analyses.

CONCLUSION

The most suitable indicator(s) for linear growth can be selected based on the number of available measurements per child and the child's age. By following a step-by-step algorithm, growth analyses can be precisely and accurately performed to allow for improved comparability within and between studies.

Linear growth trajectories in Zimbabwean infants

BACKGROUND

Undernutrition in early life underlies 45% of child deaths globally. Stunting malnutrition (suboptimal linear growth) also has long-term negative effects on childhood development. Linear growth deficits accrue in the first 1000 d of life. Understanding the patterns and timing of linear growth faltering or recovery during this period is critical to inform interventions to improve infant nutritional status.

OBJECTIVE

We aimed to identify the pattern and determinants of linear growth trajectories from birth through 24 mo of age in a cohort of Zimbabwean infants.

DESIGN

We performed a secondary analysis of longitudinal data from a subset of 3338 HIV-unexposed infants in the Zimbabwe Vitamin A for Mothers and Babies trial. We used k-means clustering for longitudinal data to identify linear growth trajectories and multinomial logistic regression to identify covariates that were associated with each trajectory group.

RESULTS

For the entire population, the mean length-for-age z score declined from -0.6 to -1.4 between birth and 24 mo of age. Within the population, 4 growth patterns were identified that were each characterized by worsening linear growth restriction but varied in the timing and severity of growth declines. In our multivariable model, 1-U increments in maternal height and education and infant birth weight and length were associated with greater relative odds of membership in the least-growth restricted groups (A and B) and reduced odds of membership in the more-growth restricted groups (C and D). Male infant sex was associated with reduced odds of membership in groups A and B but with increased odds of membership in groups C and D.

CONCLUSION

In this population, all children were experiencing growth restriction but differences in magnitude were influenced by maternal height and education and infant sex, birth weight, and birth length, which suggest that key determinants of linear growth may already be established by the time of birth. This trial was registered at clinicaltrials.gov as NCT00198718.

Risk factors associated with growth failure in the follow-up of very low birth weight newborns

OBJECTIVE

To determine risk factors during neonatal hospital stay and follow-up associated with failure to thrive in the first year of life of very low birth weight newborns.

METHODS

Study of preterm very low birth weight newborns followed from 2006 to 2013 in a public institutional hospital program. The study included newborns that attended at least one appointment in each of the three periods: Period I, up to 3 months of corrected age (CA); Period II, 4-6 months of CA; and Period III, 7-12 months of CA. The variables were analyzed by logistic regression with XLSTAT 2014 software (Microsoft®, WA, USA). Failure to thrive (Z-score below -2 SD) was classified as a dichotomous dependent variable (0 - failure/1 - success), while the other variables were classified as explanatory variables for the hospitalization periods and for each of the follow-up periods (I, II, and III).

RESULTS

Children born adequate for gestational age increased the chance of Z-score for weight at discharge>-2 SD (OR=10.217; 95% CI: 1.117-93.436). Metabolic bone disease and retinopathy of prematurity in Period I, as well as hospital readmissions in Periods II and III during follow-up increased the chance of Z-score<-2 SD.

CONCLUSION

Failure to thrive is influenced by intrauterine factors and, subsequently, by several morbidities, both in the birth and hospitalization period, as well as in the post-discharge period and thus, such variables should be prioritized in the follow-up.

Head growth of undernourished children in rural Nepal: association with demographics, health and diet

BACKGROUND

Brain development in early childhood is a key determinant of later cognition, social achievement and educational success. Head circumference (HC) measurements are a simple method to assess brain growth, yet reports of these measurements are uncommon in nutritional surveys of undernourished children.

OBJECTIVE

To evaluate HC measurements in a population of rural Nepali children and relate these measurements to demographics, health and diet.

METHODS

An observational study of head growth was nested within a longitudinal evaluation of a livestock-based agricultural intervention in rural Nepal. Between 538 and 689 children (aged 6 months to 8 years) were measured (height, weight, HC) at each of six survey visits. A total of 3652 HC measurements were obtained. Results were converted to Z-scores (WHO Anthro).

RESULTS

Mean head circumference Z-scores (HCZ) diminished progressively over the first 4 years of life; a decline of 30% occurred between 3 and 4 years of age (-1.73 to -2.45, P < 0.0001). Overall, 56% of HCZ were <-2. Gender-adjusted HCZ (but not other measurements) were significantly lower for girls than boys [mean (SD) -2.31 (1.0) vs -1.99 (0.094), P < 0.0001]; girls more often had microcephaly (61% vs 50%, P < 0.0001). For children <3 years of age, HCZ were better in those who had eaten two or more animal-source foods (ASFs) within the previous 24 h [-1.69 (.05) vs -2.08 (0.10), P = 0.001] than in those who had eaten none or only one; HCZ correlated with the number of ASFs consumed (P < 0.001). Regression analyses demonstrated that the main determinants of HCZ were age, weight-for-age Z-scores (WAZ) and gender; 43% of the variance in HCZ in younger children was explained by WAZ and ASF consumption.

CONCLUSION

HCs reflect brain size in young children; brain size is linked to cognitive function. Poor head growth represents another facet of the 'silent emergency' of child undernutrition. Routine HCZ assessments may contribute to better understanding of the links between poverty and cognitive development.

WHO Child Growth Standards Are Often Incorrectly Applied to Children Born Preterm in Epidemiologic Research

In epidemiologic research, there is no standard approach for accounting for gestational age (GA) at birth when interpreting postnatal anthropometric data in analyses of cohorts that include children born preterm (CBP). A scoping review was conducted to describe analytical approaches to account for GA at birth when applying the WHO Growth Standards (WHO-GS) to anthropometric data in epidemiologic studies. We searched PubMed, Scopus, MEDLINE, Embase, and Web of Science for studies that applied WHO-GS, included CBP in the study population, had access to data within 1 mo of age, and were published between 2006 and 2015 in English. Of the 80 included studies that used the WHO-GS, 80% (64 of 80) included all children regardless of GA, whereas 20% (16 of 80) restricted analyses that used WHO-GS to term-born children. Among the 64 studies that included all children, 53 (83%) used chronological age and 11 (17%) used corrected age for CBP. Of the 53 studies that used chronological age, 12 (23%) excluded data that were likely contributed by CBP (e.g., very low birth weight or extremely low outlying z scores) and 19 (36%) adjusted for or stratified by GA at birth in regression analyses. In summary, researchers commonly apply WHO-GS to CBP, usually based on chronological age. Methodologic challenges of analyzing data from CBP in the application of WHO-GS were rarely explicitly addressed. Further efforts are required to establish acceptable approaches to account for heterogeneity in GA at birth in the analysis of post-term anthropometric data in epidemiologic research.

Growth and development in Chinese pre-schoolers with picky eating behaviour: a cross-sectional study

Objective

To explore the associations between picky eating behaviour and pre-schoolers’ growth and development. Corresponding potential mechanisms, such as nutrient and food subgroup intake, as well as micronutrients in the blood, will be considered.

Methods

Picky eating behaviour was present if it was reported by parents. From various areas of China, 937 healthy children of 3-7 years old were recruited using a multi-stage stratified cluster sampling method. Children and their mothers’ socio-demographic information and children’s anthropometry, intelligence, blood samples, one 24-hour dietary intake record and food frequency questionnaire were collected. Z-scores and intelligence tests were used to evaluate growth and development (cognitive development). Multilevel models were employed to verify the associations between picky eating behaviour and growth and development.

Results

The prevalence of picky eating as reported by parents was 54% in pre-schoolers. Compared with the non-picky eaters, weight for age in picky eaters was 0.14 z-score (95% CI: -0.25, -0.02; p = 0.017) lower while no significant difference was found in intelligence (p > 0.05). Picky eating behaviour lasting over two years was associated with lower weight for age, as was nit-picking meat (the prevalence from parents’ perception was 23% in picky eaters) (p < 0.05). Picky eaters consumed fewer cereals, vegetables, and fish (p < 0.05), and had a lower dietary intake of protein, dietary fibre, iron, and zinc (p < 0.05). There were no differences in the concentrations of essential minerals in whole blood (p > 0.05).

Conclusions

Picky eating behaviour is reported by parents in half of the Chinese pre-schoolers, which is negatively associated with growth (weight for age). Lower protein and dietary fibre as well as lower iron and zinc intakes were associated with picky eating as were lower intakes of vegetables, fish and cereals.

Factors associated with growth patterns from birth to 18 months in a Beninese cohort of children

The aim of this study was to analyze factors influencing the growth pattern of children from birth to 18 months. A longitudinal prospective study was conducted in three maternity wards in Southern Benin. Inclusion took place between June 2007 and July 2008; children were followed-up until 18 months of age. Height-for-age and weight-for-height Z-scores were computed using the newborn's anthropometric measurements taken at delivery, every month up to 6 months and then quarterly. Infant and young child feeding (IYCF) practices and malarial morbidity were recorded. Gestational age was estimated using the Ballard method; William's sex-specific reference curve of birth weight-for-gestational-age was used to determine intrauterine growth retardation (IUGR). Analyses were performed on 520 children using a linear mixed model. Low birth weight (coef=-0.43; p=0.002), IUGR (coef=-0.49; p<0.001), maternal short stature (coef=-0.25; p=0.001) and maternal low weight status (coef=-0.19; p=0.006) were significantly associated with growth impairment. Only LBW (coef=-0.28; p=0.05) and maternal low weight status (coef=-0.23; p=0.004) were associated with wasting. A good IYCF score was positively associated with weight gain (coef=0.14; p<0.001) whereas we found a paradoxical association with length (coef=-0.18; p<0.001). Malaria morbidity was not associated with growth. LBW, IUGR and maternal low weight status and height were important determinants of children's growth. These results reinforce and justify continuing public health initiatives to fight IUGR and LBW and break the intergenerational cycle of malnutrition.

The contribution of preterm birth and intrauterine growth restriction to childhood undernutrition in Tanzania

Objectives were to examine the growth patterns of preterm and growth-restricted infants and to evaluate the associations of prematurity and intrauterine growth restriction (IUGR) with risk of stunting, wasting and underweight. Data from a cohort of HIV-negative pregnant women-infant pairs were collected prospectively in Tanzania. Small for gestational age [SGA, birthweight (BW) <10th percentile] was used as proxy for IUGR. Anthropometry was measured monthly until 18 months. Length-for-age (LAZ), weight-for-length (WLZ), and weight-for-age (WAZ) z-scores were calculated using the 2006 World Health Organization (WHO) Child Growth Standards. Stunting, wasting and underweight were defined as binary outcomes using a cut-off of <-2 SD of the respective z-scores. Multivariate Cox proportional hazard models were used to assess the associations between preterm and SGA to time to stunting, wasting and underweight. The study included 6664 singletons. Preterm and appropriate for gestational age (AGA) infants had slightly better nutritional status than term-SGA infants and despite some catch-up growth, preterm-SGA infants had the poorest nutritional status. The gap in LAZ and WAZ z-scores among the groups remained similar throughout the follow-up. Compared with term-AGA babies, relative risk (RR) of stunting among preterm-AGA babies was 2.13 (95% confidence interval (CI) 1.93-2.36), RR among term-SGA was 2.21 (95% CI 2.02-2.41) and the highest risk was among the babies who were both preterm and SGA (RR = 7.58, 95% CI 5.41-10.64). Similar magnitude of RR of underweight was observed among the three groups. Preterm and SGA infants should be closely monitored for growth failure. Intervention to reduce preterm and SGA birth may lower risk of undernutrition in resource-limited settings.