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Diet HabitDPASNCT04035421

Diet, Physical Activity, and Sleep Habits

An observational study of Diet Habit, run by The University of Tennessee, Knoxville at 1 site in United States.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

This study aims to observe if consistency in a young adult's schedule is related to health factors and outcomes, such as diet quality, amount of physical activity and sleep, and weight. Read more about this study

Who is it for?
Ages 18 to 35 yearsHealthy volunteers can take part
Conditions the study is for
Diet Habit
How many people
63 participants
Where
1 siteUnited States
Study dates
13 Jul 2019to 16 Aug 2021
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 35 years
  • All sexes
  • Healthy volunteers accepted
  • Adult

Study population: Young adult between the ages of 18 and 35 years, taking classes and/or working, able to engage in physical activity, and having no dietary restrictions.

Who may be able to join

  • Between the ages of 18-35 years
  • Able to pass the Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) indicating that they have no health conditions that limit their ability to engage in physical activity
  • Access to an email address and internet each day during their participation
  • An town when all measures are collected
  • Taking classes and/or working a job when all measures are collected

Who cannot join

  • Pregnant
  • Allergy to stainless steel, making the participant unable to wear Body Media Armband
  • Dietary restrictions of any kind
  • Shift work, here defined as having to work a shift for any period of time between the hours of 12 am and 6 am

Trial locations and contacts

1 site in 1 country.

United States1 site

  • Healthy Eating and Activity Lab, University of Tennessee

    Knoxville, Tennessee, 37996

Other trials in United States

About this study

This study aims to observe if consistency in a young adult's schedule is related to health factors and outcomes, such as diet quality, amount of physical activity and sleep, and weight.

Read the detailed description

During young adulthood, patterns regarding physical activity,1,2 dietary intake,3 and weight status4 are established that track into later life and can impact health. Social and physical cues also impact patterns-particularly those cues that may influence biological and behavioral rhythms which can influence the Circadian Timing System (CTS).5 Chronotype, the timing of sleep patterns, is closely tied to the CTS as it reflects sleep in relation to the light and dark cycle, with morning-type (MT) having a pattern that should assist with better entrainment (sleep better entrained to the physical cues of light/dark).6 Research has found that chronotype is related to several areas important to health, including diet,6-11 physical activity,12-14 weight regulation.15-18. As a whole, research in this area suggests that MT individuals are more likely to consume a healthier eating pattern, be more physically active, and more successfully manage their weight. However, the research in this area for young adults is limited.

While there has been research regarding chronotype and diet, activity, and weight management, there is a paucity of research on the relationship between social cues and social rhythms, which also influence the CTS, and health related outcomes. Social rhythms, as measured by the Social Rhythm Metric (SRM), are related to chronotype, such that MT is related to a higher SRM.19-21 Due to the relationship between SRM and chronotype, and chronotype and diet, physical activity, and weight management, it would be anticipated that SRM is also related to these health outcomes. Specifically, it would be anticipated that more consistent social rhythms (higher SRM) would be related to a healthier eating pattern, greater physical activity, and weight management. However, this relationship has never been investigated.

Therefore, to better understand how social rhythms, which are triggered by social cues, are related to health, this investigation will be assessing both chronotype and SRM and collecting measures on diet quality, via food records, physical activity and sleep, via accelerometers, and anthropometrics, via BMI. The population of interest for this study is specifically young adults because young adulthood is a time period when health patterns are established for the rest of life. This study aims to observe if consistency in a young adult's schedule is related to health factors and outcomes, such as diet quality, amount of physical activity and sleep, and weight.

Conditions
Diet Habit
Keywords
Social Rhythm Metric, Chronotype, Young adult
Medical subject headings
Feeding Behavior

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Diet Quality 1

    Healthy Eating Index Score calculated using a three-day food record

    Measured: Through study completion, 1 week

  2. Diet Quality 2

    Total energy intake will be assessed using a three-day food record

    Measured: Through study completion, 1 week

  3. Physical Activity 1

    Minutes of moderate to vigorous physical activity will be assessed using SenseWear Armbands

    Measured: Through study completion, 1 week

  4. Physical Activity 2

    Energy expenditure from moderate to vigorous physical activity will be assessed using SenseWear Armbands

    Measured: Through study completion, 1 week

  5. Sleep 1

    Length of sleep will be assessed using SenseWear Armbands

    Measured: Through study completion, 1 week

  6. Sleep 2

    Sleep efficiency will be assessed using SenseWear Armbands

    Measured: Through study completion, 1 week

Secondary outcomes (3)

  1. Body Mass Index (BMI)

    BMI will be calculated using height and weight measurements

    Measured: Baseline appointment

  2. Body Composition

    Body fat percentage will be assessed using the Body Composition Analyzer TBF-300 (TANITA Corporation, Tokyo, Japan)

    Measured: Baseline appointment

  3. Chronotype

    Chronotype will be assessed using the Composite Score for Morningness

    Measured: Baseline appointment

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted29 Jul 2019
  2. Study start13 Jul 2019
  3. Primary completion16 Aug 2021
  4. Study completion16 Aug 2021

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Cross-sectional
Enrolment
63 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT04035421
Sponsor's protocol ID
UTK IRB-19-05178-XP
Acronym
DPAS
Status last verified
Aug 2021
First submitted
13 Jul 2019
Last updated
18 Aug 2021
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • Caspersen CJ, Pereira MA, Curran KM. Changes in physical activity patterns in the United States, by sex and cross-sectional age. Med Sci Sports Exerc. 2000 Sep;32(9):1601-9. doi: 10.1097/00005768-200009000-00013.

    PubMed 10994912

  • Nelson MC, Story M, Larson NI, Neumark-Sztainer D, Lytle LA. Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity (Silver Spring). 2008 Oct;16(10):2205-11. doi: 10.1038/oby.2008.365. No abstract available.

    PubMed 18719665

  • Dunn JE, Liu K, Greenland P, Hilner JE, Jacobs DR Jr. Seven-year tracking of dietary factors in young adults: the CARDIA study. Am J Prev Med. 2000 Jan;18(1):38-45. doi: 10.1016/s0749-3797(99)00114-2.

    PubMed 10808981

  • Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Prev Med. 1993 Mar;22(2):167-77. doi: 10.1006/pmed.1993.1014.

    PubMed 8483856

  • Monk TH, Flaherty JF, Frank E, Hoskinson K, Kupfer DJ. The Social Rhythm Metric. An instrument to quantify the daily rhythms of life. J Nerv Ment Dis. 1990 Feb;178(2):120-6. doi: 10.1097/00005053-199002000-00007.

    PubMed 2299336

  • Wright KP Jr, McHill AW, Birks BR, Griffin BR, Rusterholz T, Chinoy ED. Entrainment of the human circadian clock to the natural light-dark cycle. Curr Biol. 2013 Aug 19;23(16):1554-8. doi: 10.1016/j.cub.2013.06.039. Epub 2013 Aug 1.

    PubMed 23910656

  • Fleig D, Randler C. Association between chronotype and diet in adolescents based on food logs. Eat Behav. 2009 Apr;10(2):115-8. doi: 10.1016/j.eatbeh.2009.03.002. Epub 2009 Mar 29.

    PubMed 19447353

  • Gontijo CA, Cabral BBM, Balieiro LCT, Teixeira GP, Fahmy WM, Maia YCP, Crispim CA. Time-related eating patterns and chronotype are associated with diet quality in pregnant women. Chronobiol Int. 2019 Jan;36(1):75-84. doi: 10.1080/07420528.2018.1518328. Epub 2018 Sep 13.

    PubMed 30212228

  • Kogevinas M, Espinosa A, Castello A, Gomez-Acebo I, Guevara M, Martin V, Amiano P, Alguacil J, Peiro R, Moreno V, Costas L, Fernandez-Tardon G, Jimenez JJ, Marcos-Gragera R, Perez-Gomez B, Llorca J, Moreno-Iribas C, Fernandez-Villa T, Oribe M, Aragones N, Papantoniou K, Pollan M, Castano-Vinyals G, Romaguera D. Effect of mistimed eating patterns on breast and prostate cancer risk (MCC-Spain Study). Int J Cancer. 2018 Nov 15;143(10):2380-2389. doi: 10.1002/ijc.31649. Epub 2018 Jul 17.

    PubMed 30016830

  • Maukonen M, Kanerva N, Partonen T, Mannisto S. Chronotype and energy intake timing in relation to changes in anthropometrics: a 7-year follow-up study in adults. Chronobiol Int. 2019 Jan;36(1):27-41. doi: 10.1080/07420528.2018.1515772. Epub 2018 Sep 13.

    PubMed 30212231

  • Rossbach S, Diederichs T, Nothlings U, Buyken AE, Alexy U. Relevance of chronotype for eating patterns in adolescents. Chronobiol Int. 2018 Mar;35(3):336-347. doi: 10.1080/07420528.2017.1406493. Epub 2017 Dec 12.

    PubMed 29231764

  • Harrex HAL, Skeaff SA, Black KE, Davison BK, Haszard JJ, Meredith-Jones K, Quigg R, Saeedi P, Stoner L, Wong JE, Skidmore PML. Sleep timing is associated with diet and physical activity levels in 9-11-year-old children from Dunedin, New Zealand: the PEDALS study. J Sleep Res. 2018 Aug;27(4):e12634. doi: 10.1111/jsr.12634. Epub 2017 Nov 20.

    PubMed 29160021

  • Olds TS, Maher CA, Matricciani L. Sleep duration or bedtime? Exploring the relationship between sleep habits and weight status and activity patterns. Sleep. 2011 Oct 1;34(10):1299-307. doi: 10.5665/SLEEP.1266.

    PubMed 21966061

  • Shechter A, St-Onge MP. Delayed sleep timing is associated with low levels of free-living physical activity in normal sleeping adults. Sleep Med. 2014 Dec;15(12):1586-9. doi: 10.1016/j.sleep.2014.07.010. Epub 2014 Sep 2.

    PubMed 25311835

  • Arora T, Taheri S. Associations among late chronotype, body mass index and dietary behaviors in young adolescents. Int J Obes (Lond). 2015 Jan;39(1):39-44. doi: 10.1038/ijo.2014.157. Epub 2014 Aug 19.

    PubMed 25135376

Questions about this trial

What is this clinical trial studying?

An observational study of Diet Habit, run by The University of Tennessee, Knoxville at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 5 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 18 Aug 2021. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Diet Quality 1 (time frame: Through study completion, 1 week). The study lists 6 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT04035421, which also lists 21 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Aug 2021.

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