How to Use Stable Isotope Techniques for Assessment of Breastfeeding Patterns. Christine Slater Retired IAEA Nutrition Specialist

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How to Use Stable Isotope Techniques for Assessment of Breastfeeding Patterns Christine Slater Retired IAEA Nutrition Specialist

Objectively measured breastfeeding Deuterium oxide dose-to-mother technique (DTM) Accurately assesses the amount of human milk consumed by breastfed infants Provides an estimate of the water intake from sources other than human milk Provides an objective measure of the exclusivity of breastfeeding Does not disturb the baby s normal feeding pattern

Deuterium oxide dose-to-mother technique The mother consumes an accurately weighed dose deuterium oxide (D 2 O) The deuterium mixes with the mother s body water The baby consumes deuterium during breastfeeding Saliva is sampled from the mother and from the baby over 2 weeks

Two-compartment steady-state model of water flux in a mother-baby pair F mo F bo Mother s TBW: Vm F bm Infant s TBW:Vb F om F ob Coward WA et al. (1982) Hum Nutr: Clin Nutr, 36C, 141-148 Haisma H et al. (2003) Eur J Clin Nutr, 57, 1633-1642 The subscripts m, b, p refer to mother, baby, outside. The combined subscripts indicate the direction of water flow e.g. bm is to the baby from the mother, and bo is to the baby from the outside

2 H Kinetics 2 H Kinetics 1000 1000 2 H enrichment (mg/kg 900 800 700 600 500 400 300 947 g human milk <25 g water 2 H enrichment (mg/kg 900 800 700 600 500 400 300 237 g human milk 769 g water 200 200 100 100 0 0 0 5 10 15 20 0 5 10 15 20 Time (days) Time (days) If the baby is breastfed, deuterium enrichment in the baby s body water gradually increases and then decreases The higher the enrichment in the baby s body water, the more human milk it has consumed The more milk the mother produces, the faster the deuterium disappears from her body water

IAEA Human Health Series http://humanhealth.iaea.org

IAEA e-learning http://humanhealth.iaea.org

Applications Assessment of the amount of milk consumed by breastfed infants Assessment of nutrient intake (e.g. vitamin A, Zn) Assessment of intake of potentially toxic chemicals (As, Hg, Pb, pesticides) Validation of EBF data collected from maternal recall

How much milk do breastfed babies consume? J Nutr (2010) 140, 2227-2232 Data from 12 countries on 5 continents. Mean intake 780 g/d. Increased over first 3-4 m, remained above 800 g/d until 6-7 m. Dedicated to the memory of Andy Coward: pioneer of the DTM technique

IAEA database Latin America: Argentina, Brazil, Chile, Cuba, Dominican Republic, Ecuador, Guatemala, Uruguay (n = 301) Asia: India, Sri Lanka, Thailand (n = 258) Africa: Benin, Central African Republic, Ghana, Kenya, Morocco, South Africa, Tanzania (n = 691) Some projects collected longitudinal data at 6 weeks, and 3, 6, 9, 12 months

Human milk intake over time Mean human milk intake (95% CI)

Nutrient intake: Zinc J Nutr (2014) 144, 771-776 Breast milk zinc concentration was similar to that of wealthier countries There was no relation between infant birth-weight and milk zinc concentration or transfer.

Nutrient intake: Vitamin A Nutrients 2017, 9, 169 VAD is still a public health concern in Mexico Infants from urban areas receive 66% of their dietary adequate intake from BM; Infants from rural areas receive only 49%

Vitamin A Status: Senegal J Nutr (2012) 142, 1991-1996 Vit A intake through breastfeeding measured using DTM; Vit A conc by HPLC Infants milk VA intake was close to estimated requirements (375 mg/d) No correlation was found between infants plasma retinol and MRDR value Low VA liver stores at the beginning of the complementary feeding

Breastfeeding reduces the intake of As in infants living in contaminated areas Environmental Health (2014) 13, 101 There was less As in human milk than the local drinking water.

Chile: former copper mining area Am J Perinatol (2014) 31, 993-1002 Lower amounts of toxic elements were transferred to exclusive breastfed infants compared with those who additionally received non-maternal milk.

EBF: Which cut-off for non-milk water intake should we use? The IAEA guidelines use 25 g non-milk water per day, based on a theoretical threshold supported by empirical data from Haisma et al. (2003)* This is the value used in most of the IAEA supported projects *Haisma H et al (2003) Breast milk and energy intake in exclusively, predominantly and partially breast-fed infants. European Journal of Clinical Nutrition, 57, 1633-1642

Validation of EBF data Maternal & Child Nutrition (2012) 8(3), 330-339 Reported EBF 45%; Measured (DTM) 11%, infants 1-4 months Mothers self-reports may be subject to social desirability and social approval biases (N=44)

Guatemala Example Reported EBF 61%; Measured (DTM) 36% Infants 3 months (N=36)

South Africa Example HIV ve mothers, infants 3 months (N=74) Reported EBF 88%; Measured (DTM) 32%

Kenya Example HIV-infected mothers are more likely to EBF compared with HIV-uninfected mothers At 6 months EBF rates by DTM were 43% among HIV +ve (N=68) and 24% among HIV -ve mothers (N=68). Reported EBF 75% and 60%

Regional differences 100% 90% 90% 80% 70% 60% 50% 61% 60% 40% 30% 27% 35% 20% 16% 10% 0% Latin America (N = 230) Asia (N = 49) Africa (N = 425) Reported EBF Measured EBF

EBF: Which cut-off for non-milk water intake should we use? Am J Clin Nutr (2007) 85, 1075-1082 The IAEA guidelines use 25 g non-milk water per d In 2007, the Cambridge group used a Monte Carlo modelling approach for data from infants age 3-4 m Infants whose mothers reported EBF had non-milk water intake 40 ± 81 g/d

Moore et al 2007 Reported Feeding Practice N Breast milk (g/d) Non-breastmilk water (g/d) EBF 73 884 ± 163 40 ± 81 PredBF 6 821 ± 163 119 ± 265 PartBF 15 779 ± 190 185 ± 198 Conclusions The DTM technique can be applied to validate reported feeding behaviour Reports of feeding practices were accurate at the group level, but it is not adequate to distinguish between feeding practices in individual infants

Validation by direct observation New validation study based on direct observation of infant feeding practices and pharmokinetic modelling Published on-line 14 November 2018

Validation study 2017-2018 The validation study was conducted in Indonesia; supervised by Rosalind Gibson and Lisa Houghton, University of Otago, New Zealand 121 mother-infant pairs were recruited Infant feeding practices were determined using the DTM technique and by direct observation Feeding practices were observed in the mother s homes by trained field assistants, recruited from the local community, from 6 am to 6 pm on 6 nonconsecutive days over the two week protocol

Validation study 2017-2018 A non-linear hierarchical model within a Bayesian frame-work was developed for the description of deuterium oxide kinetics in exclusively breastfeeding mother infant pairs The cut-off based on the 90th percentile of the posterior distribution of non-milk water intake was 86.6 g/day This cut-off can be use to categorize any new cohort of mother-infant pairs as EBF or non-ebf

Potential reduced protocol Objective: To develop a field-friendly DTM protocol to categorise infants as EBF or not and assess human milk intake Bayesian approach comparing potential reduced protocols with the full protocol (6 post-dose samples) Three samples required: 1 baseline + 2 post-dose

Reduced protocol No Desig n Specificity Sensitivity No Desig n Specificity Sensitivity 1 3+7 0.85 0.77 12 4+13 0.91 0.78 2 3+8 0.84 0.76 13 4+14 0.93 0.76 3 3+9 0.85 0.78 14 5+13 0.96 0.86 4 4+7 0.86 0.80 15 5+14 0.97 0.83 5 4+8 0.86 0.82 16 6+14 0.97 0.88 6 4+9 0.86 0.83 17 7+13 0.97 0.92 7 5+7 0.89 0.92 18 7+14 0.97 0.89 8 5+8 0.87 0.92 19 8+13 0.97 0.97 9 5+9 0.90 0.91 20 8+14 0.97 0.93 10 3+13 0.90 0.78 21 9+13 0.97 0.97 11 3+14 0.90 0.77 22 9+14 0.97 0.94 Best sensitivity and specificity was with post-dose sample collection on Days 9 +13 compared with the full protocol (97%) Data collection and analysis tool expected release date: March 2019

Acknowledgements Everyone who contributed data to the IAEA database and the validation study for a simplified protocol: project counterparts for IAEA Technical Cooperation Regional projects (RAF6039, RLA6071) and Research contract holders for Coordinated Research Project E43026 Pernille Kaestel and Caroline Hemmingsen for analysis of data in the IAEA database