NUTRIPROTECT-Children Nutrition as a Protective or Health-risk Factor
NCT ID: NCT04076592
Last Updated: 2019-09-04
Study Results
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Basic Information
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COMPLETED
89 participants
OBSERVATIONAL
2018-02-01
2019-07-30
Brief Summary
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Detailed Description
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While the work programme of this multidisciplinary applicative prospective study will be focused onto children, it shall be tightly linked to former "My-Milk" project (SRA J43606; finished in the year 2013), where the role of early nutrition in the development of breast fed children and their intestinal microbiota, during the first year of life, was investigated. This study will be conducted within the population of 6-7 years olds included in the first "My-Milk" study. The study will characterize the key modifying factors during participant's early life (defined through maternal variables (BMI before pregnancy, weight gain during pregnancy, nutrition during pregnancy and lactation, fatty acid composition of human milk, and vitamin D concentration in serum) and infant variables (duration of breastfeeding and antibiotic treatments, faecal microbiota at first month, anthropometrics and bone mineral density in the neonatal period)) on participant's nutritional status at the age 6-7 years. The current nutritional status will be defined by participant's dietary intakes, anthropometrics, body composition - bone density, percentage of fat and muscle tissue), health (blood pressure, blood cholesterol, frequency and severity of infections), and fecal microbiota.
The study population invited to participate will include all singleton children of mothers who completed the detailed part of the My-Milk study at child's first year of age (N=147). Considering a very low drop-out rate in the first detailed part of the study My-Milk (33 participating mothers out of 185, approximately 18 percent), investigators expect that at least 70-75 percentage of the invited participants will respond, meaning between 100 - 110 children may get enrolled in the study. This population will represent 0,5 percentage of children born in 2011 (21947 children - statistical data for Slovenia).
The following parameters will be measured and evaluated: the nutrition of children by using the standard dietary assessment methodology for children and adults/elderly population as provided in the European Food Safety Authority guidance (EFSA). Namely, the food consumption survey will be carried out on the individual level by repeated 24-h food diary and Computer Assisted Personal/Telephone Interview method (CAPI/CATI) and by supporting General Questionnaire and the Food Propensity Questionnaire (FPQ) according to PANCAKE - Pilot study for the Assessment of Nutrient intake and Food Consumption Among Kids in Europe. The 24-h structured diet recall interview is a quantitative research method used in the nutritional assessment. A trained dietitian investigator will ask a parent or caretaker to recall all foods and drinks that the participating child consumed during the previous 24 hours at two different time points during the study (non-consecutive days at least 8 - 20 days between the two records) to receive the proper information about the habitual intake of foods. From the data obtained by 24-h recall investigators intend to evaluate nutritional intakes of the population sub-groups. In addition, connections between the nutrition of children and body composition and health markers will be studied. FPQ will enable the estimation of certain relevant, infrequently consumed food groups. Data will be collected using validated questionnaires using computer -assisted data collection methods and processing. Evaluation of the dietary intake data will be performed by dietary software Open Platform for Clinical Nutrition (OPEN) by Jožef Stefan Institute (IJS). OPEN is a web-based application for dietary assessment and treatment as well as upgraded to support the 24h -recall/food diary method and FPQs in line with the EFSA pan-European food consumption survey, also known as the EU Menu, methodology. OPEN is an efficient, first Slovenian web-based tool for dietary assessment based on the local food items. OPEN allows the dietitian to enter the food and amounts for each participant. After food items, amounts and preparations are entered into the OPEN, the program creates an analysis with the breakdown of nutritional information.
The assessment of growth, development, and health status in 6-7 years old participants will base on the conducted clinical examination and data obtained from the medical records. Clinical examination will include the assessment of clinical status, anthropometric measurements, and quantitative ultrasound measurements of the bone mineral density and measurement of blood pressure.
The clinical examination will be performed at the University Children's Hospital and will be carried out by a specialist doctor of paediatrics and investigator biologist. It will include the assessment of clinical status, anthropometric measurements, and quantitative ultrasound measurements of bone mineral density. The bone mineral density will be measured at the right tibia using the (QUS) Sunlight Omnisense (Sunlight Medical Ltd, Tel Aviv, Israel) which is simple, painless and radiation free investigation and gives information about the bone density and micro architecture. The QUS measures the time taken by the ultrasound signal to travel between two transmitters and two receivers contained within the probe. These propagation times are used by a proprietary algorithm to determine the bone speed of sound (SOS), which is expressed as meters per second (m/s). The software will use the three most consistent measurements to compute the result. The results will be taken as SOS and Z score (units of standard deviations relative to the mean for age- and sex-matched population reference values). Unlike in children, in adults, measurements are taken on a radius. For anthropometry: body height \[cm\] and body mass \[kg\] will be measured with a certified medical scale barefooted and in a minimal clothing. The precision of a height measurement will be 0.1 cm and of a mass measurements 0.1 kg. Skinfold thicknesses \[mm\] at six standard locations will be measured according to the standardised methodology with the precision of 0.1 mm by a calibrated certified skinfold calliper (Harpenden, England). Circumferences \[cm\] will be measured once on the trunk or on the right side of the body with a non-stretchable narrow measuring tape (fibre glass tape, China) with the precision of 0.1 cm. The estimates of body composition will be linked to the acquired nutritional data.
Other information regarding the current health status (including blood cholesterol) and child development will be obtained from the medical documentation. For this purpose investigators will ask paediatricians for the access to the participants' medical records. The data on the eventual disruption of a regular physical development shall be analysed (the accelerated growth, attenuated growth, low body mass and BMI for overweight or obesity), and on the presence of allergies and emerging chronic diseases. The emphasis will also be laid on the infections, medication intakes (antibiotic treatments) and chronic diseases.
The study of children fecal microbiota will base on molecular approaches such as quantitative real-time PCR (qPCR) and next-generation sequencing (NGS) sequencing of the 16 sedimentation coefficient (16S) subunit of ribosomal ribonucleic acid (rRNA) gene amplicons using Illumina technology. A single fecal sample of an apparently healthy child will be collected at the clinical examination. Priorly, the parents will be supplied with the coded sterile sampling containers with a spoon attached to the lid and with sampling instruction by post and e-mail. They will be asked to collect approximately 2 g (2 spoons) of participating child's faeces possibly on the planned day of visit at the Pediatric clinic or one day before. Samples will be kept refrigerated/cooled until the visit and will be immediately frozen at -20 ˚C upon the arrival to the clinic by the medical personnel. Within a month after being collected, -20 ˚C frozen fecal samples will be transferred to the laboratory and stored at -80 ˚C until the performance of microbial analyses. QPCR and 16S rRNA amplicon sequencing methods, also applied in the first part of My-Milk project, are suitable for the assessment of the biodiversity among total bacterial communities and composition of fecal microbiota, as well as, the evaluation of the quantitative fluctuations of specific target groups in the complex microbial ecosystems such as gastrointestinal tract.
Data about the nutrition of 6-7-year old participants will be studied in connection with body composition (bone density, fat percentage, and muscle tissue), health markers (blood pressure, blood cholesterol), and fecal microbiota. After quality control of the sequenced reads, the faecal microbiome biodiversity and relative abundance of bacterial taxa will be gained and biodiversity measures such as the Chao1 score and the Shannon diversity index will be calculated.
Afterwards, all data will be deposited in the central database together with those already obtained during the first part of My-Milk study. The appropriate statistical analysis will be applied in investigating the impact of early life exposures on later growth, nutritional status, health and faecal microbiota in participants at the current age of 6-7 years. The central database will allow (a) protected access to already collected information; (b) addition of new attributes and (c) export of data for the purposes of statistical analysis. Database will not contain any personal identifications (subjects will be coded by identification numbers only). The majority of the collected data from My-Milk study have already been converted into electronic form. Statistical methodology will comprise of the two steps: the first exploratory step, which consists of the data checking, graphical displays and reduction of higher dimensional space into lower dimensional space via multivariate statistical methods, such as principal component analysis and multivariate scaling; the second step will be devoted to statistical inference. The appropriate statistical tests will be used, regression models will be derived taking into account the research hypotheses. The power of the tests will be calculated and the models will be critically assessed by modern simulation techniques (e. g. bootstrap approach).
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
5 Years
8 Years
ALL
Yes
Sponsors
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University Medical Centre Ljubljana
OTHER
University of Ljubljana
OTHER
Responsible Party
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Principal Investigators
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Irena Rogelj, Prof., PhD
Role: PRINCIPAL_INVESTIGATOR
University of Ljubljana
Rok Orel, MD, Prof., PhD
Role: STUDY_DIRECTOR
University Medical Centre Ljubljana, Division of Pediatrics
Locations
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University Medical Centre Ljubljana, Division of Paediatrics, Department of Neonatology
Ljubljana, , Slovenia
Countries
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References
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Dodd KW, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D, Tooze JA, Krebs-Smith SM. Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc. 2006 Oct;106(10):1640-50. doi: 10.1016/j.jada.2006.07.011.
Subar AF, Dodd KW, Guenther PM, Kipnis V, Midthune D, McDowell M, Tooze JA, Freedman LS, Krebs-Smith SM. The food propensity questionnaire: concept, development, and validation for use as a covariate in a model to estimate usual food intake. J Am Diet Assoc. 2006 Oct;106(10):1556-63. doi: 10.1016/j.jada.2006.07.002.
Farmer G. Neonatal skinfold thickness. Measurement and interpretation at or near term. Arch Dis Child. 1985 Sep;60(9):840-2. doi: 10.1136/adc.60.9.840.
Obermajer T, Grabnar I, Benedik E, Tusar T, Robic Pikel T, Fidler Mis N, Bogovic Matijasic B, Rogelj I. Microbes in Infant Gut Development: Placing Abundance Within Environmental, Clinical and Growth Parameters. Sci Rep. 2017 Sep 11;7(1):11230. doi: 10.1038/s41598-017-10244-x.
Related Links
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OPEN: Open Platform for Clinical Nutrition, Available 04.03.2015
Zekan et al. (1999): Predictive factors in determination of newborn weight
Other Identifiers
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L3 8213 BF-UL My-Milk-2
Identifier Type: -
Identifier Source: org_study_id
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