Diet, Physical Activity, and Sleep Habits
DPAS
1 other identifier
observational
63
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jul 2019
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 13, 2019
CompletedStudy Start
First participant enrolled
July 13, 2019
CompletedFirst Posted
Study publicly available on registry
July 29, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 16, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
August 16, 2021
CompletedAugust 18, 2021
August 1, 2021
2.1 years
July 13, 2019
August 16, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Diet Quality 1
Healthy Eating Index Score calculated using a three-day food record
Through study completion, 1 week
Diet Quality 2
Total energy intake will be assessed using a three-day food record
Through study completion, 1 week
Physical Activity 1
Minutes of moderate to vigorous physical activity will be assessed using SenseWear Armbands
Through study completion, 1 week
Physical Activity 2
Energy expenditure from moderate to vigorous physical activity will be assessed using SenseWear Armbands
Through study completion, 1 week
Sleep 1
Length of sleep will be assessed using SenseWear Armbands
Through study completion, 1 week
Sleep 2
Sleep efficiency will be assessed using SenseWear Armbands
Through study completion, 1 week
Secondary Outcomes (3)
Body Mass Index (BMI)
Baseline appointment
Body Composition
Baseline appointment
Chronotype
Baseline appointment
Eligibility Criteria
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.
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Healthy Eating and Activity Lab, University of Tennessee
Knoxville, Tennessee, 37996, United States
Related Publications (21)
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.
PMID: 10994912BACKGROUNDNelson 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.
PMID: 18719665BACKGROUNDDunn 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.
PMID: 10808981BACKGROUNDSerdula 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.
PMID: 8483856BACKGROUNDMonk 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.
PMID: 2299336BACKGROUNDWright 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.
PMID: 23910656BACKGROUNDFleig 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.
PMID: 19447353BACKGROUNDGontijo 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.
PMID: 30212228BACKGROUNDKogevinas 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.
PMID: 30016830BACKGROUNDMaukonen 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.
PMID: 30212231BACKGROUNDRossbach 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.
PMID: 29231764BACKGROUNDHarrex 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.
PMID: 29160021BACKGROUNDOlds 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.
PMID: 21966061BACKGROUNDShechter 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.
PMID: 25311835BACKGROUNDArora 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.
PMID: 25135376BACKGROUNDCulnan E, Kloss JD, Grandner M. A prospective study of weight gain associated with chronotype among college freshmen. Chronobiol Int. 2013 Jun;30(5):682-90. doi: 10.3109/07420528.2013.782311. Epub 2013 May 20.
PMID: 23688114BACKGROUNDRoss KM, Graham Thomas J, Wing RR. Successful weight loss maintenance associated with morning chronotype and better sleep quality. J Behav Med. 2016 Jun;39(3):465-71. doi: 10.1007/s10865-015-9704-8. Epub 2015 Dec 10.
PMID: 26660638BACKGROUNDRuiz-Lozano T, Vidal J, de Hollanda A, Scheer FAJL, Garaulet M, Izquierdo-Pulido M. Timing of food intake is associated with weight loss evolution in severe obese patients after bariatric surgery. Clin Nutr. 2016 Dec;35(6):1308-1314. doi: 10.1016/j.clnu.2016.02.007. Epub 2016 Feb 16.
PMID: 26948400BACKGROUNDMartin JS, Hebert M, Ledoux E, Gaudreault M, Laberge L. Relationship of chronotype to sleep, light exposure, and work-related fatigue in student workers. Chronobiol Int. 2012 Apr;29(3):295-304. doi: 10.3109/07420528.2011.653656.
PMID: 22390242BACKGROUNDMongrain V, Carrier J, Dumont M. Chronotype and sex effects on sleep architecture and quantitative sleep EEG in healthy young adults. Sleep. 2005 Jul;28(7):819-27. doi: 10.1093/sleep/28.7.819.
PMID: 16124660BACKGROUNDMonk TH, Buysse DJ, Potts JM, DeGrazia JM, Kupfer DJ. Morningness-eveningness and lifestyle regularity. Chronobiol Int. 2004 May;21(3):435-43. doi: 10.1081/cbi-120038614.
PMID: 15332448BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Hollie Raynor, PhD
University of Tennessee Knoxville
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
July 13, 2019
First Posted
July 29, 2019
Study Start
July 13, 2019
Primary Completion
August 16, 2021
Study Completion
August 16, 2021
Last Updated
August 18, 2021
Record last verified: 2021-08
Data Sharing
- IPD Sharing
- Will not share