Trial Outcomes & Findings for The Efficacy of Individualized Dietary Advice in Improving Diet Quality and Cardiovascular Health (NCT NCT03854461)
NCT ID: NCT03854461
Last Updated: 2025-08-17
Results Overview
Dietary quality will be assessed using an online version of the Prime Diet Quality Score (PDQS). Foods are classified as healthy and unhealthy. Points are assigned according to the following criteria: 0-1 serving/wk (0 point) compared with 2-3 servings/wk (1 point) compared with ≥4 servings/wk (2 points) for the healthy food groups. Scoring is reversed and points deducted for the unhealthy food groups. Points for each food group are summed to give an overall score. The PDQS has 21 food groups and ranges from 0 to 42 total score (scores on a scale), with a higher score indicating a better diet quality.
COMPLETED
NA
162 participants
Baseline and six months
2025-08-17
Participant Flow
Recruitment took place between December 2021 and November 2022 at both Queen's University Belfast, Northern Ireland and University College Dublin, Republic of Ireland sites.
As n=12 participants who were enrolled onto the study were not contactable afterwards to arrange baseline (Month 0) study visits, n=162 participants in total were enrolled to account for losses identified early in data collection process before baseline visit. N=150 completed baseline (Month 0) visits but n=1 participant was discovered to be ineligible at baseline visit and was removed. Therefore n=149 completed baseline visits and were randomised.
Participant milestones
| Measure |
Educational Material
Participants will be given written educational material to encourage dietary change towards a better quality diet. Educational material will be adapted from resources used in previous dietary intervention studies.
|
Personalised Dietary Advice and Educational Material
Participants will also be given the educational material, but will be encouraged to make dietary change using individualized recommendations incorporating food markers of specific components of a high quality diet. Food markers of diet quality will be used to develop an algorithm to deliver personalized dietary advice. Based on biomarker data, a system of categorization of biomarker status will be developed, alongside dietary advice related to this biomarker categorization, and decision trees created, as previously described in the Food4Me study, to ensure standardized delivery of advice within this intervention arm.
|
|---|---|---|
|
Overall Study
STARTED
|
74
|
75
|
|
Overall Study
COMPLETED
|
63
|
56
|
|
Overall Study
NOT COMPLETED
|
11
|
19
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Race and Ethnicity were not collected from any participant.
Baseline characteristics by cohort
| Measure |
Educational Material
n=74 Participants
Participants will be given written educational material to encourage dietary change towards a better quality diet. Educational material will be adapted from resources used in previous dietary intervention studies.
|
Personalised Dietary Advice and Educational Material
n=75 Participants
Participants will also be given the educational material, but will be encouraged to make dietary change using individualized recommendations incorporating food markers of specific components of a high quality diet. Food markers of diet quality will be used to develop an algorithm to deliver personalized dietary advice. Based on biomarker data, a system of categorization of biomarker status will be developed, alongside dietary advice related to this biomarker categorization, and decision trees created, as previously described in the Food4Me study, to ensure standardized delivery of advice within this intervention arm.
|
Total
n=149 Participants
Total of all reporting groups
|
|---|---|---|---|
|
Age, Continuous
|
48.4 years
STANDARD_DEVIATION 12.9 • n=74 Participants
|
50.3 years
STANDARD_DEVIATION 11.2 • n=75 Participants
|
49.4 years
STANDARD_DEVIATION 12.1 • n=149 Participants
|
|
Sex: Female, Male
Female
|
51 Participants
n=74 Participants
|
55 Participants
n=75 Participants
|
106 Participants
n=149 Participants
|
|
Sex: Female, Male
Male
|
23 Participants
n=74 Participants
|
20 Participants
n=75 Participants
|
43 Participants
n=149 Participants
|
|
Race and Ethnicity Not Collected
|
—
|
—
|
0 Participants
Race and Ethnicity were not collected from any participant.
|
|
Prime Diet Quality Score
|
14.9 PDQS score
STANDARD_DEVIATION 3.9 • n=74 Participants
|
16.1 PDQS score
STANDARD_DEVIATION 4.6 • n=75 Participants
|
15.5 PDQS score
STANDARD_DEVIATION 4.3 • n=149 Participants
|
PRIMARY outcome
Timeframe: Baseline and six monthsPopulation: Primary outcome was assessed via questionnaire. At Month 6 some participants completed questionnaire only (including primary outcome) but not visits (secondary outcomes; whilst some participants completed visits only (secondary outcomes) but not questionnaires (primary outcome).
Dietary quality will be assessed using an online version of the Prime Diet Quality Score (PDQS). Foods are classified as healthy and unhealthy. Points are assigned according to the following criteria: 0-1 serving/wk (0 point) compared with 2-3 servings/wk (1 point) compared with ≥4 servings/wk (2 points) for the healthy food groups. Scoring is reversed and points deducted for the unhealthy food groups. Points for each food group are summed to give an overall score. The PDQS has 21 food groups and ranges from 0 to 42 total score (scores on a scale), with a higher score indicating a better diet quality.
Outcome measures
| Measure |
Difference in Mean Change Between Groups (Xtreg) (95% CI)
n=119 Participants
Dietary intake was assessed using an online version of the Prime Diet Quality Score (PDQS). Foods were classified as healthy and unhealthy. Points were assigned according to the following criteria: 0-1 serving/wk (0 point) compared with 2-3 servings/wk (1 point) compared with ≥4 servings/wk (2 points) for the healthy food groups. Scoring will be reversed and points deducted for the unhealthy food groups. Points for each food group will be then summed to give an overall score. The PDQS has 21 food groups and ranges from 0 to 42 total points.
Difference in mean change in PDQS between education and comparator groups between Months 0 and 6 was the primary outcome.
|
|---|---|
|
Difference in Mean Change in Prime Diet Quality Score Between Groups Between Months 0 and 6
|
1.22 Units on a scale
Interval -0.51 to 2.95
|
SECONDARY outcome
Timeframe: Baseline and six monthsQuestionnaire to assess number of units consumed weekly
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsQuestionnaire to assess usual medication use (drug name, dose and frequency of use)
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsPhysical activity using an accelerometer; data to be used will be total step count
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsWeight will be measured in kg using calibrated scales.
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsWaist and hip circumference will be measured in cm according to standardised operating procedures using a tape measure.
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsHeight will be measured in metres using a stadiometer.
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsBody composition (% body fat) will be measured using bioelectrical impedence (Bodystat 1500).
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsBlood pressure will be measured twice from the right arm, using an automated Omron sphygmomanometer, with the participant sitting quietly for at least five minutes.
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsSerum lipids (total cholesterol, HDL-C, and TG) and whole blood HbA1c will be assessed by enzymatic assays (Randox Ltd, Crumlin, NI and Glen Bio, Antrim, NI) on an I-Lab 600 auto-analyzer. LDL-C will be calculated.
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsThe following biomarkers will be used to assess nutritional status response to the dietary intervention: red meat - methylhistidines and carnosine; white meat - TMAO, guanidoacetate, anserine; fruit and vegetables -- proline betaine, isothiocyanates, S-methyl-L-cysteine sulfoxide, and tartaric acid; wholegrains - alkylresorcinols; coffee - phenolic acids, N-methylpyridinium, trigonelline, 2-furoylglycine; SSBs -- formate, citrulline, taurine, and isocitrate) red meat- methylhistidines; oily fish- omega-3 index; fruit and vegetables- total carotenoids and proline betaine; wholegrain- alkylresorcinols.
Outcome measures
Outcome data not reported
SECONDARY outcome
Timeframe: Baseline and six monthsSample handling and nucleic acid purifications will be performed following an established protocol. Illumina DNA-seq libraries with fragment length of \~300 bp will be generated as previously described, with Pippen prep size selection. For RNA-seq, 5ug of RNA will be enriched for mRNA and subjected to strand-specific cDNA synthesis using established protocols. Paired-end sequencing (e.g. 150x150 nt) will be performed on the Illumina HiSeq platform.
Outcome measures
Outcome data not reported
Adverse Events
Personalised Dietary Advice and Educational Material
Educational Material
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place