One-year anthropometric follow-up of South African preterm infants in kangaroo mother care: Which early-life factors predict malnutrition?

BACKGROUND: Preterm infants often have poor short- and long-term growth. Kangaroo mother care supports short-term growth, but longer-term outcomes are unclear. METHODS: This study analysed longitudinally collected routine clinical data from a South African cohort of preterm infants (born <37 weeks gestation) attending the outpatient follow-up clinic of a tertiary-level hospital (Tshwane District, South Africa) for 1 year between 2012 and 2019. At 1 year, small-for-gestational age (SGA) and appropriate-for-gestational age (AGA) infants were compared with regard to age-corrected anthropometric z-scores (weight-for-age [WAZ], length-for-age [LAZ], weight-for-length [WLZ] and BMI-for-age [BMIZ]) and rates of underweight (WAZ < -2), stunting (LAZ < -2), wasting (WLZ < -2) and overweight (BMIZ> + 2). Multiple regression analysis was used to investigate associations between maternal/infant characteristics and rates of underweight, stunting, wasting and overweight. RESULTS: At 1 year, compared with AGA infants (n = 210), SGA infants (n = 111) had lower WAZ (-1.26 ± 1.32 vs. -0.22 ± 1.24, p < 0.001), LAZ (-1.50 ± 1.11 vs. -0.60 ± 1.06, p < 0.001), WLZ (-0.66 ± 1.31 vs. 0.11 ± 1.24, p < 0.001) and BMIZ (-0.55 ± 1.31 vs. 1.06 ± 1.23, p < 0.001), despite larger WAZ gains from birth (+0.70 ± 1.30 vs. +0.05 ± 1.30, p < 0.001). SGA infants had significantly more stunting (34.2% vs. 9.1%; p < 0.001), underweight (31.2% vs. 7.2%; p < 0.001) and wasting (12.6% vs. 4.3%, p = 0.012), with no difference in overweight (4.5% vs. 7.7%, p = 0.397). In multiple regression analysis, birth weight-for-GA z-score more consistently predicted 1-year malnutrition than SGA. CONCLUSION: Preterm-born SGA infants remain more underweight, stunted and wasted than their preterm-born AGA peers at 1 year, despite greater WAZ gains. Interventions for appropriate catch-up growth especially for SGA preterm infants are needed.

Association of Prenatal Placental Function with Anthropometry and Body Composition through 2 years of Age in South African Infants: The UmbiBaby Study.

BACKGROUND: Placental insufficiency negatively impacts fetal growth and body composition (BC), potentially affecting lifelong health. Placental insufficiency, detectable as an abnormal umbilical artery resistance index (UmA-RI) on Doppler ultrasonography, is highly prevalent in otherwise healthy South African pregnant women. Appropriate intervention reduces stillbirth and perinatal death, but research on long-term outcomes of surviving infants is lacking. OBJECTIVES: This study aimed to describe and compare anthropometry and BC during the first 2 y of life in a cohort of term-born infants with normal and abnormal prenatal UmA-RI. METHODS: Term-born infants (n = 81; n = 55 normal, n = 26 abnormal UmA-RI on third trimester Doppler screening) were followed up at 8-time points until age 2 y. Anthropometric measurements were taken, and FFM and FM were assessed by deuterium dilution. Age- and sex-specific z-scores were calculated for anthropometric indices, FM, FFM, FM index (FMI), and FFM index (FFMI) using appropriate reference data. Anthropometry and BC of infants with normal and abnormal UmA-RI were compared using an independent t-test or Mann-Whitney test. RESULTS: At most ages, group mean z-scores were <0 for length-for-age and FM and >0 for weight-for-length and FFM. Compared with infants with normal UmA-RI, infants with abnormal UmA-RI had significantly lower weight-for-age z-scores at birth (-0.77 ± 0.75 compared with -0.30 ± 1.10, P = 0.026), ages 10 wk to 9 mo (-0.4 ± 0.87 to -0.2 ± 1.12 compared with 0.3 ± 0.85 to 0.6 ± 1.09; P = 0.007-0.017) and 18 mo (-0.6 ± 0.82 compared with 0.1 ± 1.18; P = 0.037); length-for-age z-scores at ages ≤14 wk (-1.3 ± 1.25 to -0.9 ± 0.87 compared with -0.2 ± 1.04 to -0.1 ± 1.00; P = 0.004-0.021); and FFM-for-age z-scores at ages ≤9 mo (-0.1 ± 0.82 to 0.7 ± 0.71 compared with 0.7 ± 1.00 to 1.3 ± 0.85; P = 0.002-0.028). FFMI, percentage FFM, FM, percentage FM, and FMI showed no consistent significant differences. CONCLUSIONS: Infants with abnormal UmA-RI had lower weight-for-age and length-for-age z-scores, particularly at younger ages, with proportionally lower FFM but no consistent differences in percentage FFM and FFMI. These findings merit further investigation in larger cohorts.

Integrated growth assessment in the first 1000 d of life: an interdisciplinary conceptual framework.

OBJECTIVES: Prenatal growth affects short- and long-term morbidity, mortality and growth, yet communication between prenatal and postnatal healthcare teams is often minimal. This paper aims to develop an integrated, interdisciplinary framework for foetal/infant growth assessment, contributing to the continuity of care across the first 1000 d of life. DESIGN: A multidisciplinary think-tank met regularly over many months to share and debate their practice and research experience related to foetal/infant growth assessment. Participants' personal practice and knowledge were verified against and supplemented by published research. SETTING: Online and in-person brainstorming sessions of growth assessment practices that are feasible and valuable in resource-limited, low- and middle-income country (LMIC) settings. PARTICIPANTS: A group of obstetricians, paediatricians, dietitians/nutritionists and a statistician. RESULTS: Numerous measurements, indices and indicators were identified for growth assessment in the first 1000 d. Relationships between foetal, neonatal and infant measurements were elucidated and integrated into an interdisciplinary framework. Practices relevant to LMIC were then highlighted: antenatal Doppler screening, comprehensive and accurate birth anthropometry (including proportionality of weight, length and head circumference), placenta weighing and incorporation of length-for-age, weight-for-length and mid-upper arm circumference in routine growth monitoring. The need for appropriate, standardised clinical records and corresponding policies to guide clinical practice and facilitate interdisciplinary communication over time became apparent. CONCLUSIONS: Clearer communication between prenatal, perinatal and postnatal health care providers, within the framework of a common understanding of growth assessment and a supportive policy environment, is a prerequisite to continuity of care and optimal health and development outcomes.

Resting energy expenditure of a diverse group of South African men and women.

BACKGROUND: In South Africa, overweight/obesity is a public health concern, disproportionally affecting Black females. A contributory role of a lower resting energy expenditure (REE) is suggested for African Americans. The present study assessed the REE of Black and White South African adults aiming to better understand the underlying predictors to overweight/obesity and transform this into locally appropriate recommendations. METHODS: In 328 (63% female; 39% Black) healthy South African adults, REE was measured with indirect calorimetry and body composition with multifrequency bioelectrical impedance analysis. The REE was estimated with 30 sets of published equations. Black-White differences in REE, as measured and adjusted (analysis of covariance), were determined with quantile regression. Reliability/agreement of estimated (against measured) REE was determined with intra-class correlations (ICCs) and Bland-Altman analysis. A new equation was developed by median regression followed by preliminary validation. RESULTS: Measured REE (adjusted for age along with fat-free mass [FFM], FFM index, FFM plus fat mass, FFM index plus fat mass index) in White subjects was significantly higher (p < 0.001) than in Black subjects for men and women alike, regardless of obesity class. None of the sets of estimation equations had good agreement with measured REE for Black, White, male and female subjects simultaneously. A new estimation equation, based on whole-body variables, had good reliability (ICC = 0.79) and agreement (mean difference: 27 kJ) and presents practical opportunities for groups at the local grass-roots level. CONCLUSIONS: The REE in Black South African adults is lower than in White adults. Tailored REE equations may improve REE estimation of racially/ethnically diverse South African groups and contribute to improved obesity management.

Dietary Diversity and Vegetable and Fruit Consumption of Households in a Resource-Poor Peri-Urban South Africa Community Differ by Food Security Status.

Sociodemographic, living standard measure, consumption of vegetables and fruit, and dietary diversity in relation to household food security were assessed. Using a hunger score, households were categorized as food secure (n = 125) or food insecure (n = 273). Food secure respondents had a higher mean dietary diversity score (3.98; 95%CI [3.79, 4.18] versus 3.65; 95% [CI 3.53, 3.77]), were more likely to eat vitamin A-rich foods (OR 1.15; 95% CI [1.05, 1.26]), a more varied diet (DDS ≥ 4, OR 1.90; 95% CI [1.19, 3.13]), and vegetables daily (OR 3.37; 95% CI [2.00, 5.76]). Cost limited daily vegetable/fruit consumption in food insecure households. Respondents with ≥ 8 years of schooling were more likely (OR 2.07; 95% CI [1.22, 3.53]) and households receiving social grants were less likely (OR 0.37; 95% CI [0.19, 0.72]) to be food secure. Results highlight the association between dietary diversity and household food security.

Screening for dietary fat intake of grade six children: self-assessment vs. maternal assessment.

As part of justifiable nutrition promotion, this study aimed to determine internal consistency of a dietary fat screener and to compare self-assessment to maternal assessment of fat intake of grade six (about 12 years old) learners in a South African public primary school. The children completed in school a pictorial, quantitative food frequency-type screener consisting of 10 high-fat food categories; mothers individually completed a text version. Internal consistency was measured with item-total correlations, Cronbach's alpha and the split-half method. Child-mother comparison was based on kappa (κ) statistics, McNemar's tests, Wilcoxon signed-rank test and the Bland-Altman method. In total, 101 (93.5%) children and 78 (72.2%) mothers responded. The screener was internally consistent, regardless of data source and statistical technique. For portion sizes and frequency of intake, children consistently reported higher intake than mothers. This resulted in systematic error, also evidenced by a significant difference from zero for the difference between child's and mother's final test scores for the whole group, and for boys and girls separately (always P < 0.001). In 76% of the pairs, classification into high fat or prudent intake was identical, yet the chance-corrected agreement was poor (κ = 0.16) and non-agreement was non-symmetrical (P = 0.001). Children and mothers reported high fat intakes (93% and 75%, respectively). It was concluded that the dietary fat screener was internally consistent, yet children and mothers did not agree in their assessment. The high fat intakes reported by children and mothers warrant measurement refinement and implementation of primary prevention programmes.

Physical Activity and Related Factors in Pre-Adolescent Southern African Children of Diverse Population Groups.

Tailored obesity management includes understanding physical activity (PA) and its context, ideally in childhood before the onset of health risk. This cross-sectional study determined, by sex and population, the PA of Southern African pre-adolescent urban primary school children. PA was measured objectively (step count: pedometer) and subjectively (Physical Activity Questionnaire for Older Children [PAQ-C]), taking confounders (phenotype, school-built environment, and socio-economic environment) into account. Body composition was measured with multifrequency bioelectrical impedance analysis (Seca mBCA). PA was adjusted for phenotypic confounders (body size and composition) using multivariate regression. Sex and population differences in PA were determined with two-way ANOVA. Ninety-four healthy pre-adolescents (60% girls, 52% black) with a similar socio-economic status and access to PA participated. Amidst phenotypic differences, average steps/day in girls (10,212) was lower than in boys (11,433) (p = 0.029), and lower in black (9280) than in white (12,258) (p < 0.001) participants. PAQ-C scores (5-point rating) were lower for girls (2.63) than boys (2.92) (p < 0.001) but higher for black (2.89) than white (2.58) (p < 0.001) participants. Objective and subjective measurements were, however, not significantly (r = −0.02; p = 0.876) related and PAQ-C failed to identify reactive changes in the step count. Objectively measured PA of black participants and of girls was consistently lower than for white participants and boys. Target-group specific interventions should therefore be considered.

Validity and Reliability of Field Resonance Raman Spectroscopy for Assessing Carotenoid Status.

Carotenoids in fruit and vegetables are important for health, yet determining dietary intake is challenging. This study aimed to establish the validity and reliability of a portable field Resonance Raman Spectroscope (RRS) in reflecting human carotenoid status. A diagnostic accuracy study involving 81 healthy adults was conducted. The RRS was the index test. Serum carotenoids (ß-carotene, lycopene, lutein, and zeaxanthin) and consumption of fruit and vegetables were primary and secondary reference standards respectively. Data were collected in two seasons. Validity was determined by the correlation between the RRS score and the two reference standards, and by diagnostic statistics comparing dichotomised RRS scores and serum ß-carotene. Reliability was assessed by intra-class correlation from repeated observations within subjects and within repeated measurements using three devices. The RRS score was significantly correlated with the individual and summed serum carotenoids (r range 0.45 to 0.78; p always <0.001), and with fruit and vegetable intake (season one: r=0.38, p=0.016; season two: r=0.42, p<0.001). Sensitivity: 87.5%; specificity: 75.5%; positive and negative predictive values: 35.0% and 97.6% respectively. Within- and between-device reliability was high (r=0.98, p=0.004 and r=0.97, p=0.009 respectively). The RRS field model achieved criterion validity for assessing carotenoid status and fruit and vegetable intake, and also demonstrated reliability. It thus holds promise for the screening of carotenoid status and fruit and vegetable intake.

Presentation and interpretation of food intake data: factors affecting comparability across studies.

Non-uniform, unclear, or incomplete presentation of food intake data limits interpretation, usefulness, and comparisons across studies. In this contribution, we discuss factors affecting uniform reporting of food intake across studies. The amount of food eaten can be reported as mean portion size, number of servings or total amount of food consumed per day; the absolute intake value for the specific study depends on the denominator used because food intake data can be presented as per capita intake or for consumers only. To identify the foods mostly consumed, foods are reported and ranked according to total number of times consumed, number of consumers, total intake, or nutrient contribution by individual foods or food groups. Presentation of food intake data primarily depends on a study's aim; reported data thus often are not comparable across studies. Food intake data further depend on the dietary assessment methodology used and foods in the database consulted; and are influenced by the inherent limitations of all dietary assessments. Intake data can be presented as either single foods or as clearly defined food groups. Mixed dishes, reported as such or in terms of ingredients and items added during food preparation remain challenging. Comparable presentation of food consumption data is not always possible; presenting sufficient information will assist valid interpretation and optimal use of the presented data. A checklist was developed to strengthen the reporting of food intake data in science communication.