NCT02998203

Brief Summary

The study aims to evaluate the hypothesized benefits of a systematic organic diet for children, over those of a conventional diet. The specific objectives of this study are to: i) Demonstrate the decreased body burden of pesticides for those children consuming an organic diet, and ii) Evaluate the effects in specific biomarkers of inflammation and oxidative stress in children systematically consuming an organic diet.

Trial Health

100
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
191

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jan 2017

Shorter than P25 for not_applicable

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

December 14, 2016

Completed
6 days until next milestone

First Posted

Study publicly available on registry

December 20, 2016

Completed
14 days until next milestone

Study Start

First participant enrolled

January 3, 2017

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 18, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 18, 2017

Completed
6.4 years until next milestone

Results Posted

Study results publicly available

September 7, 2023

Completed
Last Updated

September 7, 2023

Status Verified

September 1, 2023

Enrollment Period

4 months

First QC Date

December 14, 2016

Results QC Date

March 13, 2020

Last Update Submit

September 4, 2023

Conditions

Keywords

organic diethealthpesticidesinflammation biomarkersoxidative stress biomarkers

Outcome Measures

Primary Outcomes (5)

  • Change in Pesticide Metabolite 3-phenoxybenzoic Acid (3-PBA) Levels in Urine Between Organic and Conventional Periods*

    Percent change in pesticide metabolite 3-phenoxybenzoic acid (3-PBA) levels between the last sample of the conventional treatment period (before the start of the organic treatment) and the last sample of organic treatment period. A one-sample t-test was used to assess whether the percent change was different than zero. \*Note: This test does not take into account the repeated measures for each participant and the organic treatment duration. The results of the linear-mixed effect models are the ones considered (reported in a section below) as they take into account the repeated measures for each participant and the organic treatment duration.

    Last sample of the conventional period and the last sample of organic period, up to 40 days for each period

  • Overall Difference in Median 3-PBA Levels in Urine Between the Conventional and Organic Periods*

    Overall difference in median 3-PBA levels between the conventional and organic periods. The overall differences in the medians of biomarkers between the conventional and the organic phase were assessed with the non-parametric Wilcoxon rank sum test on the creatinine-adjusted concentrations pooling all conventional samples (including the baseline) and the organic samples for all participants, regardless of the duration for which they followed the organic treatment. \*Note: This test does not take into account the repeated measures for each participant and the organic treatment duration. The results of the linear-mixed effect models are the ones considered (reported in a section below) as they take into account the repeated measures for each participant and the organic treatment duration.

    1 baseline sample, 2 samples in the conventional period (typical conventional diet) and 3 samples in the organic period, up to 40 days for each Period

  • Effect of Organic Treatment in 3-PBA Levels in Urine, Taking in Account the Repeated Measures and Duration of Organic Period

    A linear mixed-effect regression model was fitted for 3-PBA (log-transformed, creatinine-adjusted). The model accounted for the duration and the effect of treatment. It included student-level (repeated measures within person) and school-level (multiple students clustered within each school) random intercepts with an unstructured covariance matrix. Continuous variables, other than time (days of treatment), were centered at the population means. The model included fixed effects for treatment condition (organic or conventional) and time (days of treatment), where time = 0 was used for the start of the treatment. The model was adjusted for the baseline value (first urine sample for all children) of the outcome to account for the background participant levels. An interaction term for time and treatment was considered and subsequently dropped if it did not meet the threshold of p-value\<0. 05.

    1 baseline sample, 2 samples in the conventional period (typical conventional diet) and 3 samples in the organic period, up to 40 days for each Period

  • Overall Difference in Median 6-chloronicotininc Acid (6-CN) Levels in Urine Between the Conventional and Organic Periods*

    Overall difference in median 6-CN levels between the conventional and organic periods. The overall differences in the medians of biomarkers between the conventional and the organic phase were assessed with the non-parametric Wilcoxon rank sum test on the creatinine-adjusted concentrations pooling all conventional samples (including the baseline) and the organic samples for all participants, regardless of the duration for which they followed the organic treatment. \*Note: This test does not take into account the repeated measures for each participant and the organic treatment duration. The results of the linear-mixed effect models are the ones considered (reported in a section below) as they take into account the repeated measures for each participant and the organic treatment duration.

    1 baseline sample, 2 samples in the conventional period (typical conventional diet) and 3 samples in the organic period, up to 40 days for each Period

  • Effect of Organic Treatment in 6-CN Levels in Urine, Taking in Account the Repeated Measures and Duration of Organic Period - Odds Ratio Calculated Based on the Fit of a Logistic Mixed-effect Model

    A logistic model was fitted for 6-CN (binary variable; above and below LOD) due to the high number of values below LOD. The model accounted for the duration and the effect of treatment. It included student-level (repeated measures within person) and school-level (multiple students clustered within each school) random intercepts with an unstructured covariance matrix. Continuous variables, other than time (days of treatment), were centered at the population means. The model included fixed effects for treatment condition (organic or conventional) and time (days of treatment), where time = 0 was used for the start of the treatment. The model was adjusted for the baseline value (first urine sample for all children) of the outcome to account for the background participant levels. An interaction term for time and treatment was considered and subsequently dropped if it did not meet the threshold of p-value\<0. 05.

    1 baseline sample, 2 samples in the conventional period (typical conventional diet) and 3 samples in the organic period, up to 40 days for each Period

Secondary Outcomes (9)

  • Change in Oxidative Stress/Inflammation Biomarker 8-OHdG Levels in Urine Between Organic and Conventional Periods*

    Last sample of the conventional period and the last sample of organic period, up to 40 days for each period

  • Overall Difference in Median 8-OHdG Levels in Urine Between the Conventional and Organic Periods*

    1 baseline sample, 2 samples in the conventional period (typical conventional diet) and 3 samples in the organic period, up to 40 days for each Period

  • Effect of Organic Treatment in 8-OHdG Levels in Urine, Taking in Account the Repeated Measures and Duration of Organic Period

    1 baseline sample, 2 samples in the conventional period (typical conventional diet) and 3 samples in the organic period, up to 40 days for each Period

  • Change in Oxidative Stress/Inflammation Biomarker 8-iso-PGF2a Levels in Urine Between Organic and Conventional Periods*

    Last sample of the conventional period and the last sample of organic period, up to 40 days for each period

  • Overall Difference in Median 8-iso-PGF2a Levels in Urine Between the Conventional and Organic Periods*

    1 baseline sample, 2 samples in the conventional period (typical conventional diet) and 3 samples in the organic period, up to 40 days for each Period

  • +4 more secondary outcomes

Study Arms (2)

Conventional phase

NO INTERVENTION

During the conventional phase, participants are asked to maintain their usual dietary choices for 40 days.

Organic phase

EXPERIMENTAL

During the organic phase, participants are asked to follow strictly the two 20-day organic dietary menus provided to them for 40 days. The organic dietary menus were prepared by a certified dietitian. The meals of the organic phase are prepared by a certified organic restaurant and are delivered to school every day except Sunday. For the meals of breakfast and afternoon snacks, children choose their preferred options for the week on the Friday of the previous week according to a list of organic food items and the products for these meals are delivered on Saturday along with the rest meals. Parents are responsible to pick-up the organic meals from school and ensure that the participating children have access to them.

Dietary Supplement: Organic diet

Interventions

Organic dietDIETARY_SUPPLEMENT

Full organic diet from certified organic products as obtained from certified producers and cooked by a certified organic restaurant. five meals each day delivered to students.

Organic phase

Eligibility Criteria

Age10 Years - 12 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17)

You may qualify if:

  • Healthy children aged 10-12 years, residing in Cyprus over the last five years who consume primarily (\> 80%) conventional food (non-organic).

You may not qualify if:

  • Children with chronic conditions (e.g. diabetes, asthma) or allergies in food (e.g. gluten, lactose tolerance)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (2)

  • Makris KC, Konstantinou C, Andrianou XD, Charisiadis P, Kyriacou A, Gribble MO, Christophi CA. A cluster-randomized crossover trial of organic diet impact on biomarkers of exposure to pesticides and biomarkers of oxidative stress/inflammation in primary school children. PLoS One. 2019 Sep 4;14(9):e0219420. doi: 10.1371/journal.pone.0219420. eCollection 2019.

  • Konstantinou C, Gaengler S, Oikonomou S, Delplancke T, Charisiadis P, Makris KC. Use of metabolomics in refining the effect of an organic food intervention on biomarkers of exposure to pesticides and biomarkers of oxidative damage in primary school children in Cyprus: A cluster-randomized cross-over trial. Environ Int. 2022 Jan;158:107008. doi: 10.1016/j.envint.2021.107008. Epub 2021 Nov 30.

MeSH Terms

Conditions

Inflammation

Condition Hierarchy (Ancestors)

Pathologic ProcessesPathological Conditions, Signs and Symptoms

Limitations and Caveats

The reported compliance may not reflect the actual compliance of the children to the organic diet, as children could either not consume all meal portion, or families could provide them with extra organic food items.

Results Point of Contact

Title
Dr. Konstantinos C. Makris
Organization
Cyprus University of Technology

Study Officials

  • Konstantinos C Makris

    Cyprus University of Technology

    STUDY DIRECTOR

Publication Agreements

PI is Sponsor Employee
No
Restrictive Agreement
No

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
INVESTIGATOR
Purpose
OTHER
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor of Environmental Health

Study Record Dates

First Submitted

December 14, 2016

First Posted

December 20, 2016

Study Start

January 3, 2017

Primary Completion

April 18, 2017

Study Completion

April 18, 2017

Last Updated

September 7, 2023

Results First Posted

September 7, 2023

Record last verified: 2023-09

Data Sharing

IPD Sharing
Will share

Following the publication of the manuscript, all relevant info is made available to the public.

Shared Documents
STUDY PROTOCOL, SAP, ANALYTIC CODE
Time Frame
Following the publication of the manuscript, all relevant info is made available to the public.
Access Criteria
Following the publication of the manuscript, all relevant info is made available to the public.

Available IPD Datasets

Manuscript and supplementary files Access