Location-based Smartphone Technology to Guide College Students Healthy Choices Ph II
Location-based Smartphone Technology to Guide College Students Healthy Choices Phase II
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Colorado
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Golden, Colorado, United States, 80401
- Klein Buendel, Inc.
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Louisiana
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Baton Rouge, Louisiana, United States, 70803
- Pennington Biomedical Research Center
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- 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
Exclusion Criteria:
- under age of 18 years
- not a current student at any Denver Auraria campus or at LSU
Study Plan
How is the study designed?
Design Details
- Primary Purpose: PREVENTION
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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EXPERIMENTAL: Healthy Detours App
Participants will be encouraged to use the Healthy Detours app daily to track food, physical activity, and sleep.
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The app features:
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PLACEBO_COMPARATOR: Fat Secret App
Participants will be encouraged to use the FatSecret application daily to track food and physical activity.
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Freely available app for weight loss and nutrition.
Includes food and exercise diaries; calorie counting.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Healthy Eating Index (HEI)
Time Frame: Baseline
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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.
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Baseline
|
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Healthy Eating Index (HEI)
Time Frame: 6 weeks
|
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.
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6 weeks
|
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Healthy Eating Index (HEI)
Time Frame: 12 weeks
|
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.
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12 weeks
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
International Physical Activity Questionnaire Short-form (IPAQ-SF)
Time Frame: Baseline
|
A nine-item International Physical Activity Questionnaire Short-form (IPAQ-SF) will be administered at baseline.
The IPAQ-SF calculates the MET-minutes per week expended.
MET minutes represent the amount of energy expended carrying out physical activity.
A higher score represents a better outcome.
Scores can range from 0 to 10,080.
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Baseline
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Physical Activity Measures
Time Frame: 6 weeks
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A nine-item International Physical Activity Questionnaire Short-form (IPAQ-SF) will be administered at 6 weeks.
The IPAQ-SF calculates the MET minutes per week expended.
MET minutes represent the amount of energy expended carrying out physical activity.
A higher score represents a better outcome.
Scores can range from 0 to 10,080.
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6 weeks
|
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International Physical Activity Questionnaire Short-form (IPAQ-SF)
Time Frame: 12 weeks
|
A nine-item International Physical Activity Questionnaire Short-form (IPAQ-SF) will be administered at 12 weeks.
The IPAQ-SF calculates the MET minutes per week expended.
MET minutes represent the amount of energy expended carrying out physical activity.
A higher score represents a better outcome.
Scores can range from 0 to 10,080.
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12 weeks
|
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Sleep Quality
Time Frame: Baseline
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The Pittsburgh Sleep Quality Index (PSQI) will be administered at baseline (pre-test).
The measure consists of 19 individual items that are used to calculate 7 component score and one composite score.
Each item is weighted on a 0-3 interval scale.
The composite score is calculated by totaling the seven component scores.
The composite score ranges 0 to 21.
A lower means healthier sleep quality.
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Baseline
|
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Sleep Quality
Time Frame: 6 weeks
|
The The Pittsburgh Sleep Quality Index (PSQI) will be administered at 6 weeks.
The measure consists of 19 individual items that are used to calculate 7 component score and one composite score.
Each item is weighted on a 0-3 interval scale.
The composite score is calculated by totaling the seven component scores.
The composite score ranges 0 to 21.
A lower means healthier sleep quality.
|
6 weeks
|
|
Sleep Quality
Time Frame: 12 weeks
|
The The Pittsburgh Sleep Quality Index (PSQI) will be administered at 12 weeks (post-test).
The measure consists of 19 individual items that are used to calculate 7 component score and one composite score.
Each item is weighted on a 0-3 interval scale.
The composite score is calculated by totaling the seven component scores.
The composite score ranges 0 to 21.
A lower means healthier sleep quality.
|
12 weeks
|
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Quality of Life (QOL)
Time Frame: Baseline
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The 12-Item Short Form Health Survey (SF-12) will be administered at baseline (pre-test).
The SF-12 survey contains categorical questions (e.g., yes/no) that assess limitations in role functioning.
The survey also contains Likert response formats on a three-point scale (e.g., not at all, a little bit, moderately, quite a bit, and extremely) to assess pain, and a five-point scale to assesses overall health (excellent, very good, good, fair, and poor).
A six-point scale (e.g., all of the time, most of the time, a good bit of the time, some of the time, a little of the time, and none of the time) assesses mental health, vitality, and social functioning.
The SF-12 is scored using the recommended Medical Outcomes Study (MOS) SAS software program that creates two summary scores, mental health (MCS12), and physical health (PCS12).
The scores are represented as t-scores that are linear transformations with a mean of 50 and a standard deviation of 10 in the general U.S. population.
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Baseline
|
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Quality of Life (QOL)
Time Frame: 6 weeks
|
The 12-Item Short Form Health Survey (SF-12) survey contains categorical questions (e.g., yes/no) that assess limitations in role functioning.
The survey also contains Likert response formats on a three-point scale (e.g., not at all, a little bit, moderately, quite a bit, and extremely) to assess pain, and a five-point scale to assesses overall health (excellent, very good, good, fair, and poor).
A six-point scale (e.g., all of the time, most of the time, a good bit of the time, some of the time, a little of the time, and none of the time) assesses mental health, vitality, and social functioning.
The SF-12 is scored using the recommended Medical Outcomes Study (MOS) SAS software program that creates two summary scores, mental health (MCS12), and physical health (PCS12).
The scores are represented as t-scores that are linear transformations with a mean of 50 and a standard deviation of 10 in the general U.S. population.
|
6 weeks
|
|
Quality of Life (QOL)
Time Frame: 12 weeks
|
The 12-Item Short Form Health Survey (SF-12) survey contains categorical questions (e.g., yes/no) that assess limitations in role functioning.
The survey also contains Likert response formats on a three-point scale (e.g., not at all, a little bit, moderately, quite a bit, and extremely) to assess pain, and a five-point scale to assesses overall health (excellent, very good, good, fair, and poor).
A six-point scale (e.g., all of the time, most of the time, a good bit of the time, some of the time, a little of the time, and none of the time) assesses mental health, vitality, and social functioning.
The SF-12 is scored using the recommended Medical Outcomes Study (MOS) SAS software program that creates two summary scores, mental health (MCS12), and physical health (PCS12).
The scores are represented as t-scores that are linear transformations with a mean of 50 and a standard deviation of 10 in the general U.S. population.
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12 weeks
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- 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.
- Ferrara CM. The College Experience: Physical Activity, Nutrition, and Implications for Intervention and Future Research. Journal of Exercise Physiology online. 2009;12(1):23-35.
- Hanson 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.
- Gaultney 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.
- Laska 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.
- Li 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.
- Lloyd-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.
- Strong 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.
- Racette 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.
- Zick 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.
- Yeh 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.
- Salcedo 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.
- Curcio 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.
- Trockel 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.
- Kwan M, Faulkner G. Perceptions and barriers to physical activity during the transition to university. American Journal of Health Studies. 2011;26:87-96.
- Wengreen 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.
- Hoffman 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.
- Kopelman 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.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 0304
- 2R44DP004995 (NIH)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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