Location-based Smartphone Technology to Guide College Students Healthy Choices Ph II
2 other identifiers
interventional
300
1 country
2
Brief Summary
College students are in a newly independent phase of life; many of whom encounter unhealthy dietary decision- making, barriers to physical activity, and poor sleep behaviors. Healthy Detours is a location-based smartphone application tailored in real-time to a student's schedule and locale, and aims to guide students toward healthier eating, exercise, and lifestyle choices as a way to prevent the onset of damaging and costly health outcomes. Through a randomized control trial, this Phase II project will test the effectiveness of an evidence-based smartphone application that will provide students with on-demand, location-specific information about healthy lifestyle choices.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Sep 2015
Typical duration for not_applicable
2 active sites
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
Study Start
First participant enrolled
September 30, 2015
CompletedFirst Submitted
Initial submission to the registry
December 13, 2016
CompletedFirst Posted
Study publicly available on registry
December 19, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 28, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
February 28, 2018
CompletedResults Posted
Study results publicly available
July 8, 2021
CompletedFebruary 6, 2023
February 1, 2023
2.4 years
December 13, 2016
July 25, 2018
February 2, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Healthy Eating Index (HEI)
The National Cancer Institute's Automated Self-Administered 24-hour Recall (ASA24) will be administered at baseline (pre-test) to calculate the Healthy Eating Index (HEI). The ASA24 measures food intake for 24 hours and calculates the HEI. Scores for the HEI range from 0 to 100. A higher score represents a better outcome.
Baseline
Healthy Eating Index (HEI)
The National Cancer Institute's Automated Self-Administered 24-hour Recall (ASA24) will be administered at 6-weeks) to calculate the Healthy Eating Index (HEI). The ASA24 measures food intake for 24 hours and calculates the HEI. Scores for the HEI range from 0 to 100. A higher score represents a better outcome.
6 weeks
Healthy Eating Index (HEI)
The National Cancer Institute's Automated Self-Administered 24-hour Recall (ASA24) will be administered at 12 weeks to calculate the Healthy Eating Index (HEI). The ASA24 measures food intake for 24 hours and calculates the HEI. Scores for the HEI range from 0 to 100. A higher score represents a better outcome.
12 weeks
Secondary Outcomes (9)
International Physical Activity Questionnaire Short-form (IPAQ-SF)
Baseline
Physical Activity Measures
6 weeks
International Physical Activity Questionnaire Short-form (IPAQ-SF)
12 weeks
Sleep Quality
Baseline
Sleep Quality
6 weeks
- +4 more secondary outcomes
Study Arms (2)
Healthy Detours App
EXPERIMENTALParticipants will be encouraged to use the Healthy Detours app daily to track food, physical activity, and sleep.
Fat Secret App
PLACEBO COMPARATORParticipants will be encouraged to use the FatSecret application daily to track food and physical activity.
Interventions
The app features: * Immediate and relevant feedback at the point of decision-making to reinforce healthy lifestyle behaviors within a population making crucial lifestyle choices. * User-centered and location-specific tailored information to provide users with information to improve future decision-making through activity tracking. * Multiple health-tracking features (i.e., diet and PA tracking, and accelerometry for PA and sleep) that will aid in self-monitoring.
Freely available app for weight loss and nutrition. Includes food and exercise diaries; calorie counting.
Eligibility Criteria
You may qualify if:
- age 18-29
- enrolled in a university or college on the Denver Auraria campus or Louisiana State University (LSU) campus
- own a smartphone
- able to speak and read English; and
- consent to participate
You may not qualify if:
- under age of 18 years
- not a current student at any Denver Auraria campus or at LSU
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Klein Buendel, Inc.lead
- Pennington Biomedical Research Centercollaborator
Study Sites (2)
Klein Buendel, Inc.
Golden, Colorado, 80401, United States
Pennington Biomedical Research Center
Baton Rouge, Louisiana, 70803, United States
Related Publications (18)
Cluskey M, Grobe D. College weight gain and behavior transitions: male and female differences. J Am Diet Assoc. 2009 Feb;109(2):325-9. doi: 10.1016/j.jada.2008.10.045.
PMID: 19167962BACKGROUNDFerrara CM. The College Experience: Physical Activity, Nutrition, and Implications for Intervention and Future Research. Journal of Exercise Physiology online. 2009;12(1):23-35.
BACKGROUNDHanson TL, Drumheller K, Mallard J, McKee C, Schlegel P. Cell phones, text messaging, and Facebook: competing time demands of today's college students. College Teaching. 2010;59(1):23-30.
BACKGROUNDGaultney JF. The prevalence of sleep disorders in college students: impact on academic performance. J Am Coll Health. 2010;59(2):91-7. doi: 10.1080/07448481.2010.483708.
PMID: 20864434BACKGROUNDLaska MN, Pelletier JE, Larson NI, Story M. Interventions for weight gain prevention during the transition to young adulthood: a review of the literature. J Adolesc Health. 2012 Apr;50(4):324-33. doi: 10.1016/j.jadohealth.2012.01.016.
PMID: 22443834BACKGROUNDLi KK, Concepcion RY, Lee H, Cardinal BJ, Ebbeck V, Woekel E, Readdy RT. An examination of sex differences in relation to the eating habits and nutrient intakes of university students. J Nutr Educ Behav. 2012 May-Jun;44(3):246-50. doi: 10.1016/j.jneb.2010.10.002. Epub 2011 Jul 18.
PMID: 21764641BACKGROUNDLloyd-Richardson EE, Bailey S, Fava JL, Wing R; Tobacco Etiology Research Network (TERN). A prospective study of weight gain during the college freshman and sophomore years. Prev Med. 2009 Mar;48(3):256-61. doi: 10.1016/j.ypmed.2008.12.009. Epub 2008 Dec 24.
PMID: 19146870BACKGROUNDStrong KA, Parks SL, Anderson E, Winett R, Davy BM. Weight gain prevention: identifying theory-based targets for health behavior change in young adults. J Am Diet Assoc. 2008 Oct;108(10):1708-1715. doi: 10.1016/j.jada.2008.07.007.
PMID: 18926139BACKGROUNDRacette SB, Deusinger SS, Strube MJ, Highstein GR, Deusinger RH. Weight changes, exercise, and dietary patterns during freshman and sophomore years of college. J Am Coll Health. 2005 May-Jun;53(6):245-51. doi: 10.3200/JACH.53.6.245-251.
PMID: 15900988BACKGROUNDZick CD, Smith KR, Brown BB, Fan JX, Kowaleski-Jones L. Physical activity during the transition from adolescence to adulthood. J Phys Act Health. 2007 Apr;4(2):125-37. doi: 10.1123/jpah.4.2.125.
PMID: 17570883BACKGROUNDYeh MC, Matsumori B, Obenchain J, Viladrich A, Das D, Navder K. Validity of a competing food choice construct regarding fruit and vegetable consumption among urban college freshmen. J Nutr Educ Behav. 2010 Sep-Oct;42(5):321-7. doi: 10.1016/j.jneb.2009.08.004. Epub 2010 Jul 22.
PMID: 20655281BACKGROUNDSalcedo Aguilar F, Rodriguez Almonacid FM, Monterde Aznar ML, Garcia Jimenez MA, Redondo Martinez P, Marcos Navarro AI. [Sleeping habits and sleep disorders during adolescence: relation to school performance]. Aten Primaria. 2005 May 15;35(8):408-14. doi: 10.1157/13074792. Spanish.
PMID: 15882497BACKGROUNDCurcio G, Ferrara M, De Gennaro L. Sleep loss, learning capacity and academic performance. Sleep Med Rev. 2006 Oct;10(5):323-37. doi: 10.1016/j.smrv.2005.11.001. Epub 2006 Mar 24.
PMID: 16564189BACKGROUNDTrockel MT, Barnes MD, Egget DL. Health-related variables and academic performance among first-year college students: implications for sleep and other behaviors. J Am Coll Health. 2000 Nov;49(3):125-31. doi: 10.1080/07448480009596294.
PMID: 11125640BACKGROUNDKwan M, Faulkner G. Perceptions and barriers to physical activity during the transition to university. American Journal of Health Studies. 2011;26:87-96.
BACKGROUNDWengreen HJ, Moncur C. Change in diet, physical activity, and body weight among young-adults during the transition from high school to college. Nutr J. 2009 Jul 22;8:32. doi: 10.1186/1475-2891-8-32.
PMID: 19624820BACKGROUNDHoffman DJ, Policastro P, Quick V, Lee SK. Changes in body weight and fat mass of men and women in the first year of college: A study of the "freshman 15". J Am Coll Health. 2006 Jul-Aug;55(1):41-5. doi: 10.3200/JACH.55.1.41-46.
PMID: 16889314BACKGROUNDKopelman P. Health risks associated with overweight and obesity. Obes Rev. 2007 Mar;8 Suppl 1:13-7. doi: 10.1111/j.1467-789X.2007.00311.x. No abstract available.
PMID: 17316295BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Valerie Myers, PhD
- Organization
- Klein Buendel
Study Officials
- PRINCIPAL INVESTIGATOR
Valerie Myers, PhD
Klein Buendel, Inc.
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
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 13, 2016
First Posted
December 19, 2016
Study Start
September 30, 2015
Primary Completion
February 28, 2018
Study Completion
February 28, 2018
Last Updated
February 6, 2023
Results First Posted
July 8, 2021
Record last verified: 2023-02
Data Sharing
- IPD Sharing
- Will not share