Behavior ChangeNCT03253406
Health Wearables and College Student Health
A study testing Polar M400 + Facebook Group (PM400+FG) and Facebook Only Group (FG) in people with Behavior Change and Physical Activity, run by University of Minnesota at 1 site in United States.
Trial summary
The purpose of this pilot randomized trial is to determine (1) the effectiveness of the Polar M400, used in combination with a twice-weekly Facebook-delivered Social Cognitive Theory-based health intervention, in the promotion of more healthful physical activity and nutritious eating behaviors over 12 weeks in college… Read more about this study
- Who is it for?
- Ages 18 to 29 yearsHealthy volunteers can take part
- Conditions the study is for
- Behavior Change, Physical Activity, Young Adults
- What is being tested?
- Polar M400 + Facebook Group (PM400+FG) and Facebook Only Group (FG)
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 38 participants
- Where
- 1 siteUnited States
- Study dates
- 6 Sep 2017to 7 May 2018
- Phase
- Interventional
- 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 29 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- 18-29 years old
- Body mass index ≥ 18.5
- Is currently not engaging in physical activity levels above the Physical Activity Guidelines for Americans (PAGA; U.S. Department of Health and Human Services, 2008)-verified through a structured screening interview prior to participant recruitment and randomization
- Eats less than the recommended two serving of fruits and three serving of vegetables per day (USDA, 2015)-verified through screening using a 10-item fruit and vegetable food frequency questionnaire (F. Thompson et al., 2002)
- No self-reported diagnosed physical/mental disability
- Provides informed consent and completes the Physical Activity Readiness Questionnaire (PAR-Q)
- Willing to be randomized into an intervention or comparison group
Who cannot join
- Self-reported diagnosed physical/mental disability
- Contraindication to physical activity participation as determined by PAR-Q results
Trial locations and contacts
1 site in 1 country.
United States1 site
Physical Activity Epidemiology Laboratory
Minneapolis, Minnesota, 55455
About this study
Official title: Use of Health Wearables to Improve Physical Activity and Eating Behaviors Among College Students: A 12-week Randomized Pilot Study
The purpose of this pilot randomized trial is to determine (1) the effectiveness of the Polar M400, used in combination with a twice-weekly Facebook-delivered Social Cognitive Theory-based health intervention, in the promotion of more healthful physical activity and nutritious eating behaviors over 12 weeks in college students versus a comparison group; and (2) the validity and reliability of the Polar M400 in the assessment of free-living (i.e., non-laboratory based) physical activity (in this case, steps per day and daily durations of moderate and vigorous physical activity) and energy expenditure.
Read the detailed description
The prevalence of overweight and obesity among individuals 20-39 years of age is 60.9%. Unfortunately, physical inactivity and poor dietary practices among this age cohort appear to be two major contributory factors for the preceding statistic. Among the youngest individuals within this age cohort are college students. Research suggests college students possess risk factors for overweight and obesity as many of these individuals are now independent and, for some, making physical activity- and nutrition-related decisions autonomously for the first time. Studies on obesity- and weight-related behaviors in this population suggest approximately 25% to 30% of college students are overweight or obese. Desai et al. also suggested rates of complete physical inactivity among college students is between 37% and 46%. Unfortunately, dietary practices among college students are not ideal either.
Poor nutritional behaviors also contribute to risk factors among this population. In a study among college freshman and sophomores, Racette, Deusinger, Strube, Highstein, and Deusinger found that 70% of the 764 college students assessed consumed less than the U.S. Department of Agriculture (USDA) recommendations of two servings of fruit and three servings of vegetables daily. Strikingly, approximately half of the students surveyed also reported high-fat fast or fried food consumption ≥ 3 times in the past week. Notably, a subsample of these students was assessed again a year later with 70% of these students gaining, on average, four kilograms. Indeed, other studies have demonstrated the impact poor dietary practices (e.g., consumption of "junk foods", sugar-sweetened beverages, or fast foods high in fat and low in nutrient density) and obesogenic environments (e.g., continuously eating at buffet-style student dining halls) can have on weight gain from freshman year of college onward. As such, not only is it clear that theoretically-backed physical activity interventions are needed among college students, there is also a distinct need to include a dietary component within these interventions. Technology integration within these physical activity and nutritional interventions among college students might present a viable approach.
While few empirical data is available regarding health wearable use among young adults, it is likely that this technology-savvy age cohort represents a large proportion of the one in six consumers currently owning a health wearable. Further, with the number of health wearables sold in 2018 projected to be 110 million, it is likely that this age cohort will contribute substantially to this figure. Moreover, research indicates the popularity of social media among young adults. Indeed, among individuals 18-29 years of age, approximately 90% use at least one social media site. Currently, Facebook represents the most widely used social media site with 1.71 billion active users and individuals 18 to 34 years of age representing the majority of Facebook users.
Therefore, the combined use of health wearable technology, these devices' associated smartphone applications, and a theoretically-driven health intervention delivered via social media, may prove appealing and effective as a health promotion strategy among college students. Specifically, use of the Polar M400 may increase college students' ability to self-regulate physical activity behaviors as self-regulation is posited as an important factor in promoting behavior change. Further, the Polar M400's associated smartphone application-based and Internet-based portal allows individuals to not only track physical activity-related metrics, but view predicted energy expenditure as well, which may allow individuals to self-regulate food intake in relation to daily energy expenditure. In combination with the Polar M400's capabilities, a twice-weekly Facebook-delivered Social Cognitive Theory-based health intervention may be able to increase college students' self-efficacy, outcome expectancy, enjoyment, and social support while decreasing barriers for participation in greater physical activity and nutritious eating behaviors. Relatedly, it is vital to also examine the preceding intervention's ability to promote changes in college students' intrinsic motivation for these health behaviors-an investigation which can be completed via application of the Self-Determination Theory.
- Conditions
- Behavior Change, Physical Activity, Young Adults, Technology, Intervention
- Being tested
- Polar M400 + Facebook Group (PM400+FG), Facebook Only Group (FG)
- Medical subject headings
- Motor Activity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Polar M400 + Facebook Group (PM400+FG)Behavioural
Throughout the intervention period experimental group participants will be asked to read and try to implement the twice-weekly physical activity- and nutrition-related health tips posted to the group's Facebook page. Additionally, experimental group participants will be asked to track all physical activity with the Polar M400 smartwatch and use this information to set physical activity-related goals conducive to improved health.
Facebook Only Group (FG)Behavioural
Throughout the intervention period comparison group participants will be asked to read and try to implement the twice-weekly physical activity- and nutrition-related health tips posted to the group's Facebook page.
| Study group | Role | What they receive |
|---|---|---|
| Polar M400 + Facebook Group (PM400+FG) | Experimental | Will be provided a Polar M400 to track physical activity and energy expenditure while also being included in a Facebook group wherein Social Cognitive Theory-based physical activity and nutritious eating tips will be provided twice weekly for 12 weeks. Receives: Behavioral: Polar M400 + Facebook Group (PM400+FG) |
| Facebook Only Group (FG) | Active comparator | Included exclusively in a separate, but content-identical, Facebook group for 12 weeks. Receives: Behavioral: Facebook Only Group (FG) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Physical Activity
Will be assessed via Actigraph Link accelerometers with daily moderate-to-vigorous physical activity, light physical activity, sedentary behavior, steps per day, and energy expenditure the outcomes of interest. The Actigraph accelerometer has been validated among adults (Kaminsky \& Ozemek, 2012). Participants will wear the accelerometer for seven days (ensuring the collection of physical activity data on at least two weekdays and one weekend day) as suggested for field-based accelerometer research (Trost, McIver, \& Pate, 2005), with the accelerometer appended to the same wrist as the Polar M400. Accelerometry measurements will take place at baseline, six weeks, and 12 weeks to examine changes over time in the aforementioned outcomes.
Measured: "Change in Physical Activity from Baseline to 6 Weeks" and "Change in Physical Activity from Baseline to 12 Weeks"
Secondary outcomes (11)
Cardiovascular Fitness
Evaluated with YMCA 3-minute step test (Golding, Meyers, \& Sinning, 1998). Participants will step up and down for three minutes on a 12-inch riser to a metronome beep set at 96 beats per minute (each beep corresponding to one movement of the leg, with 4 beeps representing one "up-down" cycle). Participants' heart rate will be assessed immediately for one minute following the conclusion of the test by the researcher via palpation of the carotid/radial artery. The step test will be performed at baseline and 12 weeks to assess changes in cardiovascular fitness over time.
Measured: "Change in Cardiovascular Fitness from Baseline to 12 Weeks"
Body Composition
Determined via bioelectrical impedance performed with the Tanita BC-558 IRONMAN® Segmental Body Composition Monitor (Tanita, Tokyo, Japan). Bioelectrical impedance sends a small electrical pulsatile wave through the body. Muscle is more conducive to electrical current transmission due to its higher water content versus fat meaning individuals with higher lean mass (i.e., lower body fat mass) will not impede the current to the degree of individuals with higher fat mass and therefore register lower body fat percentage values. Bioelectrical impedance has proven a valid measure of body composition in young adults enrolling in the military (Aandstad, Holtberget, Hageberg, Holme, \& Anderssen, 2014). Notably, to decrease variability in these body composition measurements, individuals will be asked to come in for testing at approximately the same time of day and having eaten/drank similar foods/beverages the night before as they did prior to previous session(s).
Measured: "Change in Body Composition from Baseline to 12 Weeks"
Body Weight
Body Weight will be assessed using a calibrated weight scale: the Tanita BC-558 IRONMAN® Segmental Body Composition Monitor (Tanita, Tokyo, Japan).
Measured: "Change in Weight from Baseline to 12 Weeks"
Self-Efficacy
Self-efficacy will be measured by a nine-question measure developed by Rodgers, Wilson, Hall, Fraser, and Murray (2008) wherein participants will rate how confident they feel in certain exercise situations (e.g., …"exercise when you feel discomfort" or "…exercise when you lack energy") on a percentage scale (0%: not confident at all to 100%: extremely confident in 10% increments).
Measured: "Change in Self-Efficacy from Baseline to 12 Weeks"
Social Support
Social support will be assessed using a five-question measure adapted from the Patient-Centered Assessment and Counseling for Exercise questionnaire, with participants rating on a five-point Likert-type scale (1: almost never to 5: almost always) how often significant others support/encourage them to be physically activity (Carlson et al., 2012).
Measured: "Change in Social Support from Baseline to 12 Weeks"
Enjoyment
A 5-question measure developed by Harter et al. (1978) quantified PA enjoyment as college students noted agreement with statements such as "Engaging in physical activity is the thing I like to do best" on a 5-point Likert-type scale (1: strongly disagree to 5: strongly agree).
Measured: "Change in Enjoyment from Baseline to 12 Weeks"
Barriers
A 14-question measure will evaluate participants' physical activity barriers, with participants asked to rate agreement between hypothetical barriers and their own barriers on a four-point Likert-type scale (1: strongly disagree to 4: strongly agree) (Sechrist, Walker, \& Pender, 1987).
Measured: "Change in Barriers from Baseline to 12 Weeks"
Outcome Expectancy
Outcome expectancy will be assessed with a nine-question measure developed by Trost et al. (1997) using a five-point Likert-type scale (1: strongly disagree to 5: strongly agree) to evaluate participants' agreement with responses originating from the stem "If I was to exercise on most days it would…". Sample responses are "give me more energy" and "help to control my weight".
Measured: "Change in Outcome Expectancy from Baseline to 12 Weeks"
Intrinsic Motivation
Will be evaluated using the interest/enjoyment subscale of the Intrinsic Motivation Inventory (McAuley, Duncan, \& Tammen, 1987). This seven-question subscale requires participants to determent how true certain statements such as "I enjoyed this activity very much" and "I would describe this activity as interesting" are to them on a seven-point Likert-type scale (1: not at all true to 7: very true). The Intrinsic Motivation Inventory has demonstrated good validity in the assessment of intrinsic motivation during exercise (Deci, Eghrari, Patrick, \& Leone, 1994).
Measured: "Change in Intrinsic Motivation from Baseline to 12 Weeks"
Nutritious Eating Behaviors
To assess participant eating behaviors, the National Cancer Institute's Automated Self-Administered (ASA) 24-hour Dietary Recall will be used requiring participants to recall all foods consumed within the past 24 hours. The ASA 24-hour Dietary Recall has been validated in previous research (Kipnis et al., 2003; Moshfegh et al., 2008). Participants will receive unique login information allowing them to access and complete the recall after which the researcher will be able to download and analyze the results. The ASA 24-hour Dietary recall will be administered three times on random dates during the seven days following baseline and post-intervention testing at 12 weeks, with participants notified during these testing sessions that they will be asked to complete this questionnaire. Concentration will be placed on examining changes in participants' fruit and vegetable consumption in addition to the participants' intake of fast food and sugar-sweetened beverages.
Measured: "Change in Nutritious Eating Behaviors from Baseline to 12 Weeks"
Facebook-Delivered Health Intervention Adherence
Regardless of group allocation, adherence to the social media-delivered health intervention previously outlined will be tracked. Briefly, the researcher will determine whether the participants have checked the Facebook health tips twice weekly in two manners following the alert each participant will receive when a new post goes live on each groups' Facebook page. First, Facebook now has a "Seen By" function that automatically indicates and lists everyone who has interacted with a new posting within a private Facebook group. Second, the researcher will also ask participants to "Like" each of the postings they read. In this way, the researcher will keep a running tally of whether each participant checked the posting by reviewing the "Seen By" function and whether the individual "Liked" the posting. Only individuals listed both within the "Seen By" function and as having "Liked" the posting will be counted as having seen the health tips.
Measured: "Assessed Weekly throughout 12-Week Intervention Period"
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Aug 2017
- Study start6 Sep 2017
- Primary completion4 May 2018
- Study completion7 May 2018
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (25)Papers the sponsor has linked to this study.
- Other trials for Behavior ChangeStudies of the same condition, open and under way.
- More trials run by University of MinnesotaThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- A two-arm randomized pilot trial design will be used, with one Experimental Group and one Comparison Group. A random numbers table will be used to randomize participants with a 1:1 allocation ratio.
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 38 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Minnesota
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Zan Gao, PhD, Principal investigator, University of Minnesota
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03253406
- Sponsor's protocol ID
- STUDY00000386
- Status last verified
- Oct 2019
- First submitted
- 15 Aug 2017
- Last updated
- 1 Nov 2019
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014 Feb 26;311(8):806-14. doi: 10.1001/jama.2014.732.
PubMed 24570244Desai MN, Miller WC, Staples B, Bravender T. Risk factors associated with overweight and obesity in college students. J Am Coll Health. 2008 Jul-Aug;57(1):109-14. doi: 10.3200/JACH.57.1.109-114.
PubMed 18682353Nelson TF, Gortmaker SL, Subramanian SV, Cheung L, Wechsler H. Disparities in overweight and obesity among US college students. Am J Health Behav. 2007 Jul-Aug;31(4):363-73. doi: 10.5555/ajhb.2007.31.4.363.
PubMed 17511571Silva MN, Vieira PN, Coutinho SR, Minderico CS, Matos MG, Sardinha LB, Teixeira PJ. Using self-determination theory to promote physical activity and weight control: a randomized controlled trial in women. J Behav Med. 2010 Apr;33(2):110-22. doi: 10.1007/s10865-009-9239-y. Epub 2009 Dec 11.
PubMed 20012179Racette 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.
PubMed 15900988Millen BE, Abrams S, Adams-Campbell L, Anderson CA, Brenna JT, Campbell WW, Clinton S, Hu F, Nelson M, Neuhouser ML, Perez-Escamilla R, Siega-Riz AM, Story M, Lichtenstein AH. The 2015 Dietary Guidelines Advisory Committee Scientific Report: Development and Major Conclusions. Adv Nutr. 2016 May 16;7(3):438-44. doi: 10.3945/an.116.012120. Print 2016 May.
PubMed 27184271Levitsky DA, Halbmaier CA, Mrdjenovic G. The freshman weight gain: a model for the study of the epidemic of obesity. Int J Obes Relat Metab Disord. 2004 Nov;28(11):1435-42. doi: 10.1038/sj.ijo.0802776.
PubMed 15365585Piwek L, Ellis DA, Andrews S, Joinson A. The Rise of Consumer Health Wearables: Promises and Barriers. PLoS Med. 2016 Feb 2;13(2):e1001953. doi: 10.1371/journal.pmed.1001953. eCollection 2016 Feb.
PubMed 26836780Perrin A. Social media usage: 2005-2015. Available from http://www.pewinternet.org/2015/10/08/2015/Social-Networking-Usage-2005-2015/. 2015
Bandura A. Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes 50: 248-287, 1991.
Kaminsky LA, Ozemek C. A comparison of the Actigraph GT1M and GT3X accelerometers under standardized and free-living conditions. Physiol Meas. 2012 Nov;33(11):1869-76. doi: 10.1088/0967-3334/33/11/1869. Epub 2012 Oct 31.
PubMed 23111061Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S531-43. doi: 10.1249/01.mss.0000185657.86065.98.
PubMed 16294116Golding L, Meyers C, Sinning W. Y's way to physical fitness: the complete guide to fitness testing and instruction (4th ed.). Champaign, IL: Human Kinetics. 1998
Aandstad A, Holtberget K, Hageberg R, Holme I, Anderssen SA. Validity and reliability of bioelectrical impedance analysis and skinfold thickness in predicting body fat in military personnel. Mil Med. 2014 Feb;179(2):208-17. doi: 10.7205/MILMED-D-12-00545.
PubMed 24491619Rodgers WM, Wilson PM, Hall CR, Fraser SN, Murray TC. Evidence for a multidimensional self-efficacy for exercise scale. Res Q Exerc Sport. 2008 Jun;79(2):222-34. doi: 10.1080/02701367.2008.10599485.
PubMed 18664046
Study at a glance
From the registry record, last updated by the sponsor on 1 Nov 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Use of Health Wearables to Improve Physical Activity and Eating Behaviors Among College Students: A 12-week Randomized Pilot Study
- ClinicalTrials.gov ID
- NCT03253406
- Acronym / sponsor ID
- STUDY00000386
- Conditions
- Behavior Change, Physical Activity, Young Adults, Technology, Intervention
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 38 participants (actual)
- Lead sponsor
- University of MinnesotaUniversity, hospital or other
- Study start
- 6 Sep 2017 (actual)
- Primary completion
- 4 May 2018 (actual)
- Study completion
- 7 May 2018 (actual)
- First posted
- 17 Aug 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The purpose of this pilot randomized trial is to determine (1) the effectiveness of the Polar M400, used in combination with a twice-weekly Facebook-delivered Social Cognitive Theory-based health intervention, in the promotion of more healthful physical activity and nutritious eating behaviors over 12 weeks in college students versus a comparison group; and (2) the validity and reliability of the Polar M400 in the assessment of free-living (i.e., non-laboratory based) physical activity (in this case, steps per day and daily durations of moderate and vigorous physical activity) and energy expenditure.
Detailed description
The prevalence of overweight and obesity among individuals 20-39 years of age is 60.9%. Unfortunately, physical inactivity and poor dietary practices among this age cohort appear to be two major contributory factors for the preceding statistic. Among the youngest individuals within this age cohort are college students. Research suggests college students possess risk factors for overweight and obesity as many of these individuals are now independent and, for some, making physical activity- and nutrition-related decisions autonomously for the first time. Studies on obesity- and weight-related behaviors in this population suggest approximately 25% to 30% of college students are overweight or obese. Desai et al. also suggested rates of complete physical inactivity among college students is between 37% and 46%. Unfortunately, dietary practices among college students are not ideal either.
Poor nutritional behaviors also contribute to risk factors among this population. In a study among college freshman and sophomores, Racette, Deusinger, Strube, Highstein, and Deusinger found that 70% of the 764 college students assessed consumed less than the U.S. Department of Agriculture (USDA) recommendations of two servings of fruit and three servings of vegetables daily. Strikingly, approximately half of the students surveyed also reported high-fat fast or fried food consumption ≥ 3 times in the past week. Notably, a subsample of these students was assessed again a year later with 70% of these students gaining, on average, four kilograms. Indeed, other studies have demonstrated the impact poor dietary practices (e.g., consumption of "junk foods", sugar-sweetened beverages, or fast foods high in fat and low in nutrient density) and obesogenic environments (e.g., continuously eating at buffet-style student dining halls) can have on weight gain from freshman year of college onward. As such, not only is it clear that theoretically-backed physical activity interventions are needed among college students, there is also a distinct need to include a dietary component within these interventions. Technology integration within these physical activity and nutritional interventions among college students might present a viable approach.
While few empirical data is available regarding health wearable use among young adults, it is likely that this technology-savvy age cohort represents a large proportion of the one in six consumers currently owning a health wearable. Further, with the number of health wearables sold in 2018 projected to be 110 million, it is likely that this age cohort will contribute substantially to this figure. Moreover, research indicates the popularity of social media among young adults. Indeed, among individuals 18-29 years of age, approximately 90% use at least one social media site. Currently, Facebook represents the most widely used social media site with 1.71 billion active users and individuals 18 to 34 years of age representing the majority of Facebook users.
Therefore, the combined use of health wearable technology, these devices' associated smartphone applications, and a theoretically-driven health intervention delivered via social media, may prove appealing and effective as a health promotion strategy among college students. Specifically, use of the Polar M400 may increase college students' ability to self-regulate physical activity behaviors as self-regulation is posited as an important factor in promoting behavior change. Further, the Polar M400's associated smartphone application-based and Internet-based portal allows individuals to not only track physical activity-related metrics, but view predicted energy expenditure as well, which may allow individuals to self-regulate food intake in relation to daily energy expenditure. In combination with the Polar M400's capabilities, a twice-weekly Facebook-delivered Social Cognitive Theory-based health intervention may be able to increase college students' self-efficacy, outcome expectancy, enjoyment, and social support while decreasing barriers for participation in greater physical activity and nutritious eating behaviors. Relatedly, it is vital to also examine the preceding intervention's ability to promote changes in college students' intrinsic motivation for these health behaviors-an investigation which can be completed via application of the Self-Determination Theory.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
- Model description
- A two-arm randomized pilot trial design will be used, with one Experimental Group and one Comparison Group. A random numbers table will be used to randomize participants with a 1:1 allocation ratio.
| Arm | Type | Receives |
|---|---|---|
| Polar M400 + Facebook Group (PM400+FG) | Experimental | Behavioral: Polar M400 + Facebook Group (PM400+FG)Will be provided a Polar M400 to track physical activity and energy expenditure while also being included in a Facebook group wherein Social Cognitive Theory-based physical activity and nutritious eating tips will be provided twice weekly for 12 weeks. |
| Facebook Only Group (FG) | Active comparator | Behavioral: Facebook Only Group (FG)Included exclusively in a separate, but content-identical, Facebook group for 12 weeks. |
Who may qualify
- Ages
- 18 to 29 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (7 listed)
- 18-29 years old
- Body mass index ≥ 18.5
- Is currently not engaging in physical activity levels above the Physical Activity Guidelines for Americans (PAGA; U.S. Department of Health and Human Services, 2008)-verified through a structured screening interview prior to participant recruitment and randomization
- Eats less than the recommended two serving of fruits and three serving of vegetables per day (USDA, 2015)-verified through screening using a 10-item fruit and vegetable food frequency questionnaire (F. Thompson et al., 2002)
- No self-reported diagnosed physical/mental disability
Key exclusion criteria (2 listed)
- Self-reported diagnosed physical/mental disability
- Contraindication to physical activity participation as determined by PAR-Q results
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Polar M400 + Facebook Group (PM400+FG)Throughout the intervention period experimental group participants will be asked to read and try to implement the twice-weekly physical activity- and nutrition-related health tips posted to the group's Facebook page. Additionally, experimental group participants will be asked to track all physical activity with the Polar M400 smartwatch and use this information to set physical activity-related goals conducive to improved health. | Behavioural | Polar M400 + Facebook Group (PM400+FG) |
| Facebook Only Group (FG)Throughout the intervention period comparison group participants will be asked to read and try to implement the twice-weekly physical activity- and nutrition-related health tips posted to the group's Facebook page. | Behavioural | Facebook Only Group (FG) |
Primary outcome
Physical Activity
Time frame: "Change in Physical Activity from Baseline to 6 Weeks" and "Change in Physical Activity from Baseline to 12 Weeks"
Will be assessed via Actigraph Link accelerometers with daily moderate-to-vigorous physical activity, light physical activity, sedentary behavior, steps per day, and energy expenditure the outcomes of interest. The Actigraph accelerometer has been validated among adults (Kaminsky \& Ozemek, 2012). Participants will wear the accelerometer for seven days (ensuring the collection of physical activity data on at least two weekdays and one weekend day) as suggested for field-based accelerometer research (Trost, McIver, \& Pate, 2005), with the accelerometer appended to the same wrist as the Polar M400. Accelerometry measurements will take place at baseline, six weeks, and 12 weeks to examine changes over time in the aforementioned outcomes.
11 secondary outcomes
Cardiovascular Fitness
Time frame: "Change in Cardiovascular Fitness from Baseline to 12 Weeks"
Body Composition
Time frame: "Change in Body Composition from Baseline to 12 Weeks"
Body Weight
Time frame: "Change in Weight from Baseline to 12 Weeks"
Self-Efficacy
Time frame: "Change in Self-Efficacy from Baseline to 12 Weeks"
Social Support
Time frame: "Change in Social Support from Baseline to 12 Weeks"
Enjoyment
Time frame: "Change in Enjoyment from Baseline to 12 Weeks"
Barriers
Time frame: "Change in Barriers from Baseline to 12 Weeks"
Outcome Expectancy
Time frame: "Change in Outcome Expectancy from Baseline to 12 Weeks"
Intrinsic Motivation
Time frame: "Change in Intrinsic Motivation from Baseline to 12 Weeks"
Nutritious Eating Behaviors
Time frame: "Change in Nutritious Eating Behaviors from Baseline to 12 Weeks"
Facebook-Delivered Health Intervention Adherence
Time frame: "Assessed Weekly throughout 12-Week Intervention Period"
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 1 Nov 2019.
- Background: PubMed 24570244Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014 Feb 26;311(8):806-14. doi: 10.1001/jama.2014.732.
- Background: PubMed 18682353Desai MN, Miller WC, Staples B, Bravender T. Risk factors associated with overweight and obesity in college students. J Am Coll Health. 2008 Jul-Aug;57(1):109-14. doi: 10.3200/JACH.57.1.109-114.
- Background: PubMed 17511571Nelson TF, Gortmaker SL, Subramanian SV, Cheung L, Wechsler H. Disparities in overweight and obesity among US college students. Am J Health Behav. 2007 Jul-Aug;31(4):363-73. doi: 10.5555/ajhb.2007.31.4.363.
- Background: PubMed 20012179Silva MN, Vieira PN, Coutinho SR, Minderico CS, Matos MG, Sardinha LB, Teixeira PJ. Using self-determination theory to promote physical activity and weight control: a randomized controlled trial in women. J Behav Med. 2010 Apr;33(2):110-22. doi: 10.1007/s10865-009-9239-y. Epub 2009 Dec 11.
- Background: PubMed 15900988Racette 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.
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- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Zan Gao, PhD principal investigator
University of Minnesota
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Polar M400 + Facebook Group (PM400+FG) and Facebook Only Group (FG) in people with Behavior Change and Physical Activity, run by University of Minnesota 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 7 inclusion and 2 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 1 Nov 2019. 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?
Physical Activity (time frame: "Change in Physical Activity from Baseline to 6 Weeks" and "Change in Physical Activity from Baseline to 12 Weeks"). 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 NCT03253406, which also lists 25 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 1 Nov 2019.