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Effects of Probiotics and Calcium Supplementation on Growth, Development, and Metabolic Parameters

Completed
Conditions
Permeability; Increased
Cognitive Function 1, Social
Behavior
Insulin Resistance
Stunting
Dyslipidemias
Obesity
Depression
Interventions
Dietary Supplement: Low Calcium Milk
Dietary Supplement: Probiotic 2
Dietary Supplement: Regular Calcium Milk
Dietary Supplement: Probiotic 1
Registration Number
NCT04046289
Lead Sponsor
Indonesia University
Brief Summary

Stunting is still a major problem in developing countries, including Indonesia, and has been associated with impaired development. Stunted children have also a higher risk of metabolic syndrome in adulthood. The gut microbiota, as a part of intestinal integrity, may promote intake of nutrient during childhood. Probiotics supplementation may optimize the balance of gut microbiota and further improve child growth during the window period. Furthermore, calcium could also improve child growth by increasing the resistance to intestinal infection. However, the long-term effects of gut microbiota optimization during childhood using probiotics and calcium on growth, development, and the metabolic condition has not widely studied.

Detailed Description

This study was a 10-year follow-up study of randomized controlled trials of 6-month probiotics and calcium supplementation of Lactobacillus reuteri DSM 17938 or Lactobacillus casei CRL 431 in children aged 1-6 years (n=494) living in urban low socioeconomic communities of East Jakarta in 2007-2008. We re-enrolled the subjects to assess the long-term effects of probiotics and calcium supplementation on growth, development, and metabolic parameters at the age of 11-17 years.

Healthy children (n = 238) were included in this follow-up study. Each subject previously assigned to one intervention group: low-lactose milk with a low calcium content (LC = 53), a regular calcium content (RC = 70), regular calcium with L. reuteri DSM 17938 (n = 55), and regular calcium with L. casei CRL 431 (n = 60).

Anthropometric measurements were performed by measuring the weight and height of the subjects, and further combining the results to report BMI-for-age z-score. Height was also plotted to the chart of the World Health Organization (WHO) Child Growth Standards. Gut integrity was assessed with the lactulose-mannitol ratio using high-performance liquid chromatography (HPLC) method. Cognitive function, symptoms related to depression, behaviour, and serum brain-derived neurotrophic factors (BDNF) of the adolescents were evaluated used to investigate the effects of supplementation on development. We quantified lipid profile and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) as metabolic parameters using the vein blood sample. The metabolic parameters were measured in at least three groups of intervention.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
238
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Low CalciumLow Calcium Milklow calcium milk of 180 ml, twice daily for 24 weeks
Probiotic 2Probiotic 2regular calcium milk of 180 ml + probiotic, twice daily for 24 weeks
Regular CalciumRegular Calcium Milkregular calcium milk of 180 ml, twice daily for 24 weeks
Probiotic 1Probiotic 1regular calcium milk of 180 ml + probiotic, twice daily for 24 weeks
Primary Outcome Measures
NameTimeMethod
Child's linear growth the age of 11-17 yearsJanuary - March 2019

Height-for-age z-score based on the WHO Child Growth Standards.

Child's height at the age of 11-17 yearsJanuary - March 2019

Height in meters.

Child's weight at the age of 11-17 yearsJanuary - March 2019

Weight in kilograms.

Child's nutritional status at the age of 11-17 yearsJanuary - March 2019

BMI-for-age z-score based on the WHO Child Growth Standards. BMI was calculated from height and weight measurement.

Secondary Outcome Measures
NameTimeMethod
Gut integrity at the age of 11-17 yearsJanuary - March 2019

Lactulose-mannitol ratio was calculated by dividing percent excretion of lactulose with percent excretion of mannitol.

Cognitive function assessed using Raven's Progressive Matrices at the age of 11-17 yearsJanuary - March 2019

Raven's Progressive Matrices (RPM) was administered by psychologists. Raw score of RPM was used to evaluate adolescents' cognition.

Symptoms related to depression assessed using Children Depression Inventory at the age of 11-17 yearsJanuary - March 2019

Children Depression Inventory (CDI) was a self-assigned questionnaire and the total score of CDI with a range between 0 - 54 (lower, better) was used to evaluate the symptoms related to depression among adolescents.

Behaviour assessed using Strength and Difficulties Questionnaire at the age of 11-17 yearsJanuary - March 2019

Strength and Difficulties Questionnaire (SDQ) was a self-assigned questionnaire and the total difficulties score of SDQ with a range between 0 - 50 (lower, better) was used to evaluate the behaviour among adolescents.

Serum BDNF at the age of 11-17 yearsJanuary - March 2019

Serum BDNF in pg/ml was quantified using ELISA method

Triglyceride level at the age of 11-17 yearsJanuary - March 2019

Triglyceride level in milligrams per decilitre.

Low-density lipoprotein level at the age of 11-17 yearsJanuary - March 2019

Low-density lipoprotein level in milligrams per decilitre.

Fasting glucose level at the age of 11-17 yearsJanuary - March 2019

Fasting glucose level in milligrams per decilitre.

HOMA-IR at the age of 11-17 yearsJanuary - March 2019

HOMA-IR was quantified by multiplying fasting insulin level with fasting glucose level.

High-density lipoprotein level at the age of 11-17 yearsJanuary - March 2019

High-density lipoprotein level in milligrams per decilitre.

Fasting insulin level at the age of 11-17 yearsJanuary - March 2019

Fasting insulin level in μU per millilitre

Trial Locations

Locations (1)

Human Nutrition Research Center, Indonesian Medical Education Research Institute; and Department of Nutrition, Faculty of Medicine, Universitas Indonesia

🇮🇩

Jakarta Pusat, DKI Jakarta, Indonesia

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