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

Effects of 6-Month Probiotics and Calcium Supplementation During Childhood on Growth, Development, and Metabolic Parameters in Adolescents: A 10-Year Follow-up Study

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04046289
Acronym
PROBIOCAL
Enrollment
238
Registered
2019-08-06
Start date
2019-01-26
Completion date
2019-07-05
Last updated
2019-08-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Behavior, Cognitive Function 1, Social, Depression, Dyslipidemias, Insulin Resistance, Obesity, Permeability; Increased, Stunting

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.

Interventions

DIETARY_SUPPLEMENTLow Calcium Milk

50 mg calcium/day

DIETARY_SUPPLEMENTRegular Calcium Milk

400 mg/day

DIETARY_SUPPLEMENTProbiotic 1

regular calcium milk + probiotic

DIETARY_SUPPLEMENTProbiotic 2

regular calcium milk + probiotic

Sponsors

SEAMEO Regional Centre for Food and Nutrition
CollaboratorOTHER
Wageningen University
CollaboratorOTHER
Indonesia University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
11 Years to 17 Years
Healthy volunteers
No

Inclusion criteria

at the previous clinical trial: * Apparently healthy children aged 1-6 years, with emphasize on aged 2-5 years, living permanently in low socio-economic urban areas of East Jakarta for at least six months * Parents are willing to sign the informed consent and give the supplements to the children for six months * Capable and willing to drink liquid milk with a straw (acceptance to be tested at the screening by providing a sample drink and placebo straw to be consumed under supervision for two days)

Exclusion criteria

at the previous clinical trial: * Calcium intake exceeding 75% of the Recommended Dietary Allowance (RDA) for calcium (\<375 mg/d) based on a Food Frequency Questionnaire * Currently breastfed children * Siblings of already included children that are living in the same household, except if it is a twin sibling * Severely malnourished with or without edema (weight-for-height Z-score of \<-3.00 SD) * Symptoms of chronic/congenital diseases and disabilities, suspected Tuberculosis by clinical examination, and/or history of allergic disease. * Taking (any) antibiotics during 2 weeks prior to the start of the study (children will be included after 3 weeks of last antibiotic intake * Participation in another clinical trial at the same time or 2 months prior to the start of this study * Both mothers and other caregivers present in the family are illiterate Inclusion criteria of follow-up study: * Healthy adolescent participated in the previous trial study willing to take part in the follow-up study

Design outcomes

Primary

MeasureTime frameDescription
Child's linear growth the age of 11-17 yearsJanuary - March 2019Height-for-age z-score based on the WHO Child Growth Standards.
Child's height at the age of 11-17 yearsJanuary - March 2019Height in meters.
Child's weight at the age of 11-17 yearsJanuary - March 2019Weight in kilograms.
Child's nutritional status at the age of 11-17 yearsJanuary - March 2019BMI-for-age z-score based on the WHO Child Growth Standards. BMI was calculated from height and weight measurement.

Secondary

MeasureTime frameDescription
Serum BDNF at the age of 11-17 yearsJanuary - March 2019Serum BDNF in pg/ml was quantified using ELISA method
Triglyceride level at the age of 11-17 yearsJanuary - March 2019Triglyceride level in milligrams per decilitre.
High-density lipoprotein level at the age of 11-17 yearsJanuary - March 2019High-density lipoprotein level in milligrams per decilitre.
Gut integrity at the age of 11-17 yearsJanuary - March 2019Lactulose-mannitol ratio was calculated by dividing percent excretion of lactulose with percent excretion of mannitol.
Fasting insulin level at the age of 11-17 yearsJanuary - March 2019Fasting insulin level in μU per millilitre
Fasting glucose level at the age of 11-17 yearsJanuary - March 2019Fasting glucose level in milligrams per decilitre.
HOMA-IR at the age of 11-17 yearsJanuary - March 2019HOMA-IR was quantified by multiplying fasting insulin level with fasting glucose level.
Low-density lipoprotein level at the age of 11-17 yearsJanuary - March 2019Low-density lipoprotein level in milligrams per decilitre.
Cognitive function assessed using Raven's Progressive Matrices at the age of 11-17 yearsJanuary - March 2019Raven'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 2019Children 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 2019Strength 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.

Countries

Indonesia

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 22, 2026