Infant growth by INTERGROWTH-21st and Fenton Growth Charts: Predicting 1-year anthropometry in South African preterm infants.

Post-natal growth influences short- and long-term preterm infant outcomes. Different growth charts, such as the Fenton Growth Chart (FGC) and INTERGROWTH-21st Preterm Post-natal Growth Standards (IG-PPGS), describe different growth curves and targets. This study compares FGC- and IG-PPGS-derived weight-for-postmenstrual age z-score (WZ) up to 50 weeks postmenstrual age (PMA50) for predicting 1-year anthropometry in 321 South African preterm infants. The change in WZ from birth to PMA50 (ΔWZ, calculated using FGC and IG-PPGS) was correlated to age-corrected 1-year anthropometric z-scores for weight-for-age (WAZ), length-for-age (LAZ), weight-for-length (WLZ) and BMI-for-age (BMIZ), and categorically compared with rates of underweight (WAZ < -2), stunting (LAZ < -2), wasting (WLZ < -2) and overweight (BMIZ > + 2). Multivariable analyses explored the effects of other early-life exposures on malnutrition risk. At PMA50, mean WZ was significantly higher on IG-PPGS (-0.56 ± 1.52) than FGC (-0.90 ± 1.52; p < 0.001), but ΔWZ was similar (IG-PPGS -0.26 ± 1.23, FGC -0.11 ± 1.14; p = 0.153). Statistically significant ΔWZ differences emerged among small-for-gestational age infants (FGC -0.38 ± 1.22 vs. IG-PPGS -0.01 ± 1.30; p < 0.001) and appropriate-for-gestational age infants (FGC + 0.02 ± 1.08, IG-PPGS -0.39 ± 1.18; p < 0.001). Correlation coefficients of ΔWZ with WAZ, LAZ, WLZ and BMIZ were low (r < 0.45), though higher for FGC than IG-PPGS. Compared with IG-PPGS, ΔWZ < -1 on FGC predicted larger percentages of underweight (42% vs. 36%) and wasting (43% vs. 39%) and equal percentages of stunting (33%), while ΔWZ > + 1 predicted larger percentages overweight (57% vs. 38%). Both charts performed similarly in multivariable analysis. Differences between FGC and IG-PPGS are less apparent when considering ΔWZ, highlighting the importance of assessing growth as change over time, irrespective of growth chart.

High protein content in breast milk from South African mothers of preterm infants.

AIM: Macronutrient and energy content of human milk are largely assumed for fortification practices. The aim was to explore macronutrient and energy content of transition and mature human milk from South African mothers of preterm infants with a birth weight <1800 g. Secondary objectives compared day to night milk; and explored associations with selected innate factors. METHODS: In this single-centre, observational study macronutrient and energy content of day, night and mixed samples of transition (first 14 days of life) and mature (from Day 15 of life) human milk were analysed with mid-infrared spectroscopy. RESULTS: In total, 116 samples (38 days; 37 night; 41 mixed) from 47 mothers were retained for statistical analysis. Mean true protein, carbohydrate, fat and energy content of mixed samples per 100 mL were 1.5 ± 0.4 g, 7.2 ± 0.7 g, 3.5 ± 0.9 g and 69.4 ± 9.9 kcal, respectively. Mixed transition milk (n = 9) had 1.9 ± 0.3 g protein and 67.4 ± 9.6 kcal and mixed mature milk (n = 32) 1.4 ± 0.4 g protein and 70.0 ± 10.1 kcal, per 100 mL.The protein content of transition (p = 0.004) and mature (p = 0.004) milk were significantly higher than published data. Transition milk: 1.5 g protein, 65 kcal; mature milk: 1.2 g protein, 72 kcal per 100 mL. Night samples had less fat (p = 0.014) and energy (p = 0.033) than day samples. With increasing day of life protein content declined (p = 0.003). CONCLUSION: The protein content of human milk from South African mothers of preterm babies differs from published data and has implications for human milk fortification practises.

In-hospital Growth of Very Low Birth Weight Preterm Infants: Comparative Effectiveness of 2 Human Milk Fortifiers.

OBJECTIVE: Amidst a high prevalence of prematurity, limited research on the growth of very low birth weight (VLBW) preterm infants and the availability of a reformulated fortifier c(RF), the study aimed to compare in-hospital growth of such infants receiving exclusively human milk fortified with either of 2 different formulations in a tertiary South African hospital. METHODS: In a prospective comparative effectiveness design, intakes and growth of VLBW infants on the Original Fortifier (OF; 2016-2017) were compared with those receiving RF (2017-2018). Daily intake was calculated using published composition of preterm and mature milk with fortifier (OF: 0.2 g protein, 3.5kcal/g powder; RF: 0.4 g protein, 4.4 kcal/g powder). Change in z scores from start to end of fortification for weight (WFAZ), length (LFAZ), and head circumference (HCFAZ) for age was the primary outcome. Additionally, weight gain velocity (g ·â€Škg-1 ·â€Šday-1) and gain in length and head circumference (HC) (cm/week) were calculated. RESULTS: Fifty-eight infants (52% girls; gestational age: 30 ±â€Š2 weeks; birth weight: 1215 ±â€Š187 g) received OF for 16 days and 59 infants (56% girls; gestational age: 29 ±â€Š2 weeks; birth weight 1202 ±â€Š167 g) received RF for 15 days. Protein intake of RF (3.7 ±â€Š0.4 g ·â€Škg-1 ·â€Šday-1) was significantly higher (P < 0.001) than of OF (3.4 ±â€Š0.2 g ·â€Škg-1 ·â€Šday-1). Protein-to-energy ratio of RF (2.6 ±â€Š0.2 g/100 kcal) was significantly higher (P < 0.001) than of OF (2.3 ±â€Š0.1 g/100 kcal). In both groups, WFAZ and LFAZ decreased; HCFAZ improved slightly. No significant differences (P > 0.05) were noted between the 2 groups for change in z scores, weight gain velocity, length or HC gain. CONCLUSIONS: Despite a modest increase in protein intake and protein-to-energy ratio, the growth of VLBW infants on RF was not better than on OF during their hospital stay.

Statistical assessment of reliability of anthropometric measurements in the multi-site South African National Dietary Intake Survey 2022.

BACKGROUND: Anthropometric data quality in large multicentre nutrition surveys is seldom adequately assessed. In preparation for the South African National Dietary Intake Survey (NDIS-2022), this study assessed site leads' and fieldworkers' intra- and inter-rater reliability for measuring weight, length/height, mid-upper arm circumference (MUAC), waist circumference (WC) and calf circumference (CC). METHODS: Standardised training materials and measurement protocols were developed, and new anthropometric equipment was procured. Following two training rounds (12 site lead teams, 46 fieldworker teams), measurement reliability was assessed for both groups, using repeated measurements of volunteers similar to the survey target population. Reliability was statistically assessed using the technical error of measurement (TEM), relative TEM (%TEM), intra-class correlation coefficient (ICC) and coefficient of reliability (R). Agreement was visualised with Bland-Altman analysis. RESULTS: By %TEM, the best reliability was achieved for weight (%TEM = 0.260-0.923) and length/height (%TEM = 0.434-0.855), and the poorest for MUAC by fieldworkers (%TEM = 2.592-3.199) and WC (%TEM = 2.353-2.945). Whole-sample ICC and R were excellent ( > 0.90) for all parameters except site leads' CC inter-rater reliability (ICC = 0.896, R = 0.889) and fieldworkers' inter-rater reliability for MUAC in children under two (ICC = 0.851, R = 0.881). Bland-Altman analysis revealed no significant bias except in fieldworkers' intra-rater reliability of length/height measurement in adolescents/adults ( + 0.220 (0.042, 0.400) cm). Reliability was higher for site leads vs. fieldworkers, for intra-rater vs. inter-rater assessment, and for weight and length/height vs. circumference measurements. CONCLUSION: NDIS-2022 site leads and fieldworkers displayed acceptable reliability in performing anthropometric measurements, highlighting the importance of intensive training and standardised measurement protocols. Ongoing reliability assessment during data collection is recommended.

Reliability and validity of a modified MEDFICTS dietary fat screener in South African schoolchildren are determined by use and outcome measures.

BACKGROUND: In South Africa, noncommunicable diseases and obesity are increasing and also affect children. No validated assessment tools for fat intake are available. OBJECTIVE: To determine test-retest reliability and relative validity of a pictorial modified meats, eggs, dairy, fried foods, fats in baked goods, convenience foods, table fats, and snacks (MEDFICTS) dietary fat screener. DESIGN: We determined test-retest reliability and diagnostic accuracy with the modified MEDFICTS as the index test and a 3-day weighed food record and parental completion of the screener as primary and secondary reference methods, respectively. PARTICIPANTS/SETTING: Grade-six learners (aged 12 years, 4 months) in an urban, middle-class school (n=93) and their parents (n=72). OUTCOME MEASURES: Portion size, frequency of intake, final score, and classification of fat intake of the modified MEDFICTS, and percent energy from fat, saturated fatty acids, and cholesterol of the food record. STATISTICAL ANALYSES: For categorical data agreement was based on kappa statistics, McNemar's test for symmetry, and diagnostic performance parameters. Continuous data were analyzed with correlations, mean differences, the Bland-Altman method, and receiver operating characteristics. RESULTS: The classification of fat intake by the modified MEDFICTS was test-retest reliable. Final scores of the group did not differ between administrations (P=0.86). The correlation of final scores between administrations was significant for girls only (r=0.58; P=0.01). Reliability of portion size and frequency of intake scores depended on the food category. For girls the screener final score was significantly (P<0.5) correlated to total, saturated fat, and cholesterol intakes (but not to percent energy from fat and saturated fatty acids intakes). The sensitivity of the modified MEDFICTS was very high (>90%), but chance corrected agreement between the classifications was poor. Parents did not agree with their children. CONCLUSIONS: Test-retest reliability and relative validity of a modified MEDFICTS dietary fat screener in South African schoolchildren depended on the use and outcome measures applied.