CClinicalTrials.gg
CompletedNCT02829138Updated Feb 5, 2018Results posted

Personalized Nutrition in Young Adults: The Ability of Genetic Information to Motivate Changes in Omega-3 Consumption

An interventional study of Genetic information and Omega-3 fat intake and General Nutrition related to Omega-3 fats in Health Behaviour, Nutrition Intervention and Impaired Health, sponsored by University of Guelph. Completed. Open to participants aged 18 Years to 25 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2018-02-05.

Sponsored by University of Guelph · Not applicable, Interventional, and Basic science

Phase
Not applicable
Study type
Interventional
Enrollment
57
Allocation
Randomized
Ages
18 Years to 25 Years
Sex
All
01

Study summary

There are many health benefits associated with the consumption of omega-3 dietary fats. Omega-3 fats, specifically eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), can be found in marine food products such as fatty fish, in fortified products such as eggs and milk, or in dietary supplements such as fish oil. Despite numerous health benefits, it is well documented that most people in Western society are not meeting the recommended daily amounts of EPA and DHA omega-3 fats.

The overall objective of this study is to examine whether providing young adults (18-25 years) with personal genetic information changes behavior with regards to omega-3 fat consumption. In order to achieve this objective, study participants will be divided into two groups: 1. Genetic and 2. Non-Genetic. The Genetic Group will be provided with their personalized information regarding a common gene variant in addition to general information regarding the health benefits of omega-3 fats, while the Non-Genetic Group will only receive the general information. Primary outcomes studied will include dietary habits and secondary outcomes include blood markers of cardiometabolic health.

Read the detailed description

There are many health benefits associated with the consumption of omega-3 dietary fats. Omega-3 fats, specifically eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), can be found in marine food products such as fatty fish, in fortified products such as eggs and milk, or in dietary supplements such as fish oil. Despite numerous health benefits, it is well documented that most people in Western society are not meeting the recommended daily amounts of EPA and DHA omega-3 fats.

The numerous health benefits associated with omega-3 fats are well documented in scientific literature; however, there are a limited number of studies focused on the health effects of omega-3 fats in emerging adults (18-25 years). Indeed, most research to date has been conducted in older adults, with or without hyperlipidemia. In addition, it is important to consider interventions in emerging adults given that behaviours learned in this life stage can persist later in life. It has also been reported that the diet quality (i.e., amount of fruits, vegetables, whole grains, etc.) is reduced for individuals within this age range; thus highlighting another important reason for targeting this demographic.

The combination of genetic and dietary information (i.e., nutrigenetics) has the potential to not only benefit basic research, but also the general population. Therefore, more research is needed to determine if providing individuals with their genetic information has the potential to encourage behaviour changes. So far, several studies have investigated how people may change their behaviour in response to genetic risk information, but none have conducted a nutrigenetic intervention examining if providing personal genetic information alters diet behaviours.

The overall objective of this study is to examine whether providing emerging adults with personal genetic information changes their behavior with regards to omega-3 consumption. In order to achieve this objective, study participants will be divided into two groups: 1. Genetic and 2. Non-genetic. The Genetic group will be provided with their personal information for a common gene variant in addition to general information regarding the health benefits of omega-3 fats, while the Non-genetic group will only receive the general information. Primary outcomes studied will include dietary habits and secondary outcomes include blood markers of cardiometabolic health.

02

Conditions studied

  • Health Behaviour
  • Nutrition Intervention
  • Impaired Health
03

In context

Lead sponsor

University of Guelph is the lead sponsor of 69 studies on the registry; 5 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 25 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Between the ages of 18-25 years

Exclusion criteria

Exclusion Criteria:

  • Younger than 18 years
  • Older than 25 years
  • Allergic to fish and/or shellfish
  • If the participants are currently consuming high amounts of omega-3 food products
  • Unable to get to the University of Guelph for study visits (lack of transportation, or lives too far away)
  • Anticipating a significant change in lifestyle (moving houses, joining the gym, participating in elite athletic activities)
  • Not comfortable giving blood samples
  • Taking medication which modifies or changes blood lipid levels
  • Expecting to become pregnant, pregnant or lactating
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
57 participants (actual)

Study arms

  • Placebo comparator
    Non-genetic Group

    General Nutrition related to Omega-3 fats: Individuals in this group will be provided with only general nutrition information related to omega-3 fats and health.

    Behavioral: General Nutrition related to Omega-3 fats

  • Experimental
    Genetic Group

    Genetic information and Omega-3 fat intake: Individuals in this group will be provided with general nutrition information related to omega-3 fats and health, as well as their personal genetic information for a common gene variant related to omega-3 fatty acid metabolism.

    Genetic: Genetic information and Omega-3 fat intake · Behavioral: General Nutrition related to Omega-3 fats

Interventions

  • GeneticGenetic information and Omega-3 fat intake

    Only the Genetic group will receive their personal genetic information prior to beginning the 3-month study.

  • BehavioralGeneral Nutrition related to Omega-3 fats

    Both the Genetic and Non-Genetic groups will receive general nutrition information about omega-3 fats.

06

What researchers measure

Primary outcomes

  1. Omega-3 Dietary Intake

    Omega-3 fat intake was assessed using food frequency questionnaires. The Canadian Nutrient File (version 2015) was used to assess the amount of EPA and DHA in whole foods (e.g., fish, eggs, poultry). Data corresponds to EPA + DHA (mg /day).

    Time frame: Baseline and 12 weeks

Secondary outcomes

  1. Change in Blood Triglycerides (Physiological Parameter)

    Triglycerides were measured in fasted serum. Data is reported as mmol/L

    Time frame: baseline and 12 weeks

  2. Change in Omega-3 Index in Blood (Physiological Parameter)

    Blood fatty acids measured by gas chromatography. Data is reported as a percentage of all detected fatty acids. The omega-3 index is calculated by summing data for 3 omega-3 fats in serum: ALA, EPA, and DHA.

    Time frame: baseline and 12 weeks

07

Results

Posted Jan 9, 2018

Participant flow

Participant flow — Overall Study
MilestoneNon-genetic GroupGenetic Group
Started2928
Completed2828
Not completed10
Withdrew: Withdrawal by subject10

Outcome measures

PrimaryOmega-3 Dietary Intake

Omega-3 fat intake was assessed using food frequency questionnaires. The Canadian Nutrient File (version 2015) was used to assess the amount of EPA and DHA in whole foods (e.g., fish, eggs, poultry). Data corresponds to EPA + DHA (mg /day).

Time frame:
Baseline and 12 weeks
Reported as:
Mean · mg/day
Omega-3 Dietary Intake
mg/dayNon-genetic GroupGenetic Group
Baseline190.16 ± 39.21211.50 ± 43.16
12 weeks395.82 ± 70.60323.23 ± 65.27
SecondaryChange in Blood Triglycerides (Physiological Parameter)

Triglycerides were measured in fasted serum. Data is reported as mmol/L

Time frame:
baseline and 12 weeks
Reported as:
Mean · mmol/L
Change in Blood Triglycerides (Physiological Parameter)
mmol/LNon-genetic GroupGenetic Group
Baseline1.02 ± 0.070.9 ± 0.07
12 weeks1.02 ± 0.061.02 ± 0.08
SecondaryChange in Omega-3 Index in Blood (Physiological Parameter)

Blood fatty acids measured by gas chromatography. Data is reported as a percentage of all detected fatty acids. The omega-3 index is calculated by summing data for 3 omega-3 fats in serum: ALA, EPA, and DHA.

Time frame:
baseline and 12 weeks
Reported as:
Mean · percentage of total fatty acids in serum
Change in Omega-3 Index in Blood (Physiological Parameter)
percentage of total fatty acids in serumNon-genetic GroupGenetic Group
Baseline3.97 ± 0.123.86 ± 0.11
12 weeks4.15 ± 0.133.97 ± 0.11

Adverse events

Collected over 3 months. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Non-genetic Group0/28 (0%)0/28 (0%)0/28 (0%)
Genetic Group0/28 (0%)0/28 (0%)0/28 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)Non-genetic GroupGenetic GroupTotal
<=18 years000
Between 18 and 65 years292857
>=65 years000
Sex: Female, Male
Sex: Female, Male(Participants)Non-genetic GroupGenetic GroupTotal
Female292857
Male000
Region of Enrollment
Region of Enrollment(participants)Non-genetic GroupGenetic GroupTotal
Canada292857
08

Study locations

No study locations are listed for this record.

09

References and documents

Publications

  • Tur JA, Bibiloni MM, Sureda A, Pons A. Dietary sources of omega 3 fatty acids: public health risks and benefits. Br J Nutr. 2012 Jun;107 Suppl 2:S23-52. doi: 10.1017/S0007114512001456. PubMed 22591897 ↗
  • Micha R, Khatibzadeh S, Shi P, Fahimi S, Lim S, Andrews KG, Engell RE, Powles J, Ezzati M, Mozaffarian D; Global Burden of Diseases Nutrition and Chronic Diseases Expert Group NutriCoDE. Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys. BMJ. 2014 Apr 15;348:g2272. doi: 10.1136/bmj.g2272. Erratum In: BMJ. 2015 Mar 26;350:h1702. doi: 10.1136/bmj.h1702. PubMed 24736206 ↗
  • Beasley LJ, Hackett AF, Maxwell SM. The dietary and health behaviour of young people aged 18-25 years living independently or in the family home in Liverpool, UK. International Journal of Consumer Studies 28(4): 355-363, 2004.
  • Demory-Luce D, Morales M, Nicklas T, Baranowski T, Zakeri I, Berenson G. Changes in food group consumption patterns from childhood to young adulthood: the Bogalusa Heart Study. J Am Diet Assoc. 2004 Nov;104(11):1684-91. doi: 10.1016/j.jada.2004.07.026. PubMed 15499355 ↗
  • McBride CM, Koehly LM, Sanderson SC, Kaphingst KA. The behavioral response to personalized genetic information: will genetic risk profiles motivate individuals and families to choose more healthful behaviors? Annu Rev Public Health. 2010;31:89-103. doi: 10.1146/annurev.publhealth.012809.103532. PubMed 20070198 ↗
  • Roke K, Walton K, Klingel SL, Harnett A, Subedi S, Haines J, Mutch DM. Evaluating Changes in Omega-3 Fatty Acid Intake after Receiving Personal FADS1 Genetic Information: A Randomized Nutrigenetic Intervention. Nutrients. 2017 Mar 6;9(3):240. doi: 10.3390/nu9030240. PubMed 28272299 ↗

Individual participant data

Plan to share: No

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 5, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT02829138
Lead sponsor
University of Guelph
Responsible party
David M Mutch (Dr. David Mutch, PhD, University of Guelph) — Principal investigator
First posted
Jul 12, 2016
Start date
Aug 2015
Primary completion
Mar 2016
Completion
Mar 2016
Results posted
Jan 9, 2018
Last update
Feb 5, 2018

Study contacts

David M Mutch, PhD
principal investigator · University of Guelph

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jan 2018. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion