Sedentary LifestylePennFitNCT02736903
Mobile-based Online Social Network Intervention to Increase Physical Activity
A study testing PennFit mobile individual intervention and PennFit mobile online network intervention in people with Sedentary Lifestyle, run by University of Pennsylvania.
Trial summary
Despite the racial disparities in rates of chronic diseases and behaviors linked to chronic diseases, there have been relatively few RCTs of interventions to increase physical activity in African American women. Read more about this study
- Who is it for?
- Ages 18 to 35 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- Sedentary Lifestyle
- What is being tested?
- PennFit mobile individual intervention and PennFit mobile online network intervention
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 91 participants
- Where
- No sites listed yet
- Study dates
- Dec 2015to 30 Sep 2017
- 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 35 years
- Women only
- Healthy volunteers accepted
- Adult
Who may be able to join
- African American women (self-identified)
- Aged 18 to 35
- Using an Android smartphone
- Residing in Philadelphia
Who cannot join
- Already participating in another physical activity study
- Not able or willing to carry an Android smartphone
- Being pregnant
About this study
Official title: Efficacy of Mobile-based Online Social Network Intervention to Increase Physical Activity Among Young African American Women
Despite the racial disparities in rates of chronic diseases and behaviors linked to chronic diseases, there have been relatively few RCTs of interventions to increase physical activity in African American women. Although some studies found significant improvement on physical activity, most focused on individuals and did not take into consideration the social contexts in which the participants' behaviors occurred. Understanding how online social networks facilitate behavior change can bridge important gaps in the way technology can be used to intervene on health among underserved populations. The primary objective of this study was to test the efficacy of a mobile app (PennFit) intervention in increasing participants' daily active minutes objectively recorded by a fitness tracking device (Fitbit zip). In the control group, participants used the PennFit app to record and monitor their own physical activity progress. In the online social network intervention, participants were randomized to 4-women networks and were able to see and compare their own recorded physical activities with activities of the other three women in their network. Participants in a network had access to an online chatting tool to chat with one another. The secondary objective was to understand the intervention's mechanisms through mediation analysis on theoretical variables.
Read the detailed description
Despite the racial disparities in rates of chronic diseases and behaviors linked to chronic diseases, there have been relatively few RCTs of interventions to increase physical activity in African American women. Although some studies found significant improvement on physical activity, most focused on individuals and did not take into consideration the social contexts in which the participants' behaviors occurred. A review of qualitative studies of physical-activity correlates in African American adults found that both men and women said group participation would increase their motivation to exercise, and women said that having a physically active partner or friend would facilitate their initiation and maintenance of a physical-activity program. For instance, focus groups with African American women suggested that having a friend or group to exercise with was motivating and should be considered to be an important component of physical activity programs.This finding is consistent with other studies identifying social support as encouraging African American women to engage in physical activity. While previous research emphasized the effects of social support on facilitating physical activity, it is also possible that a lack of social network members perceiving physical activity as a normative behavior may contribute to low rates of physical activity in African American women. Two correlational research found that social support and descriptive norms both predicted physical activity independently . Two experiments found that manipulating descriptive norms increased physical activity . The findings suggest creating physical activity as a normative behavior within African American women's social networks may be an effective way to establish, potentially sustaining physical activity in the long term.
Young African Americans are heavy users of social networking technologies. In 2013, 96% of African Americans aged 18 to 29 used a social networking site of some kind. Understanding how online social networks facilitate behavior change can bridge important gaps in the way technology can be used to intervene on health among underserved populations. The primary objective of this study was to test the efficacy of a mobile app (PennFit) intervention in increasing participants' daily active minutes objectively recorded by a fitness tracking device (Fitbit zip). In the control group, participants used the PennFit app to record and monitor their own physical activity progress. In the online social network intervention, participants were randomized to 4-women networks and were able to see and compare their own recorded physical activities with activities of the other three women in their network. Participants in a network had access to an online chatting tool to chat with one another. The secondary objective was to understand the intervention's mechanisms through mediation analysis on theoretical variables.
- Conditions
- Sedentary Lifestyle
- Being tested
- PennFit mobile individual intervention, PennFit mobile online network intervention
- Medical subject headings
- Sedentary Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
PennFit mobile individual interventionBehavioural
PennFit (individual) is a mobile app intervention. Participants received a Fitbit physical activity tracking device and an introductory physical activity promotion session emphasizing the health benefits of physical activity and building skills for daily exercises. Participants used the PennFit app (individual) to record and monitor their own physical activity progress.
PennFit mobile online network interventionBehavioural
PennFit (online network) is a mobile app intervention. Participants received a Fitbit physical activity tracking device and an introductory physical activity promotion session emphasizing the health benefits of physical activity and building skills for daily exercises. Participants used the PennFit app (online network) to record and monitor their own physical activity progress. They could see both their own information and the profiles and activity logs of the three other women assigned to their network. In addition, they could send messages to the network through an instant chatting tool.
| Study group | Role | What they receive |
|---|---|---|
| Individual intervention | Active comparator | Behavioral: PennFit mobile individual intervention. Participants were given a Fitbit (zip) to track their daily exercises. Participants used the PennFit app to track their own daily steps and the minutes for vigorous, moderate, and muscle-strengthening exercises that they completed for each day. Participants also received system-generated notifications that reminded them to wear their Fitbit in the morning and to log their activity minutes in the evening. Receives: Behavioral: PennFit mobile individual intervention |
| Online network intervention | Experimental | Behavioral: PennFit mobile online network intervention. Participants were given a Fitbit (zip) to track their daily exercises. Participants used the PennFit app to track their exercises. Participants also received system-generated notifications that reminded them to wear their Fitbit in the morning and to log their activity minutes in the evening. Participants were randomly assigned to 4-person online networks in the PennFit app. Participants in the online networks could see both their own information and the profiles and activity logs of the three other people assigned to their network. In addition, they could send messages to the network through an instant chatting tool. Receives: Behavioral: PennFit mobile online network intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Daily active exercise minutes
Daily active exercise minutes are recorded by the Fitbit (zip) tracking device
Measured: Intervention day 1 to day 90
Secondary outcomes (3)
Daily steps
Daily steps are recorded by the Fitbit (zip) tracking device
Measured: Intervention day 1 to day 90
Daily active calories
Daily active calories are recorded by the Fitbit (zip) tracking device
Measured: Intervention day 1 to day 90
Self-reported physical activity
The number of days on which participants reported engaging in 20 minutes of vigorous-intensity activity, 30 minutes of moderate-intensity activity, and strength-building activity, in the past 7 days.
Measured: Past 7 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Apr 2016 (estimated)
- Study startDec 2015
- Primary completion30 May 2016
- Study completion30 Sep 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Sedentary LifestyleStudies of the same condition, open and under way.
- More trials run by University of PennsylvaniaThe 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
- Masking
- Triple blind
- Who is masked
- Participant, Investigator, Outcomes assessor
- Enrolment
- 91 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Pennsylvania
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- John B Jemmott, PhD, Principal investigator, University of Pennsylvania
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02736903
- Sponsor's protocol ID
- 823881
- Acronym
- PennFit
- Status last verified
- Jan 2018
- First submitted
- 4 Apr 2016
- Last updated
- 12 Jan 2018
- Results posted
- No
- Data monitoring committee
- No
- Individual data sharing
- No
Publications
Zhang J, Brackbill D, Yang S, Centola D. Efficacy and causal mechanism of an online social media intervention to increase physical activity: Results of a randomized controlled trial. Prev Med Rep. 2015 Aug 13;2:651-7. doi: 10.1016/j.pmedr.2015.08.005. eCollection 2015.
PubMed 26844132Jemmott JB 3rd, Jemmott LS, Ngwane Z, Zhang J, Heeren GA, Icard LD, O'Leary A, Mtose X, Teitelman A, Carty C. Theory-based behavioral intervention increases self-reported physical activity in South African men: a cluster-randomized controlled trial. Prev Med. 2014 Jul;64:114-20. doi: 10.1016/j.ypmed.2014.04.012. Epub 2014 Apr 13.
PubMed 24736094Zhang J, Jemmott Iii JB. Mobile App-Based Small-Group Physical Activity Intervention for Young African American Women: a Pilot Randomized Controlled Trial. Prev Sci. 2019 Aug;20(6):863-872. doi: 10.1007/s11121-019-01006-4.
PubMed 30788692
Study at a glance
From the registry record, last updated by the sponsor on 12 Jan 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Efficacy of Mobile-based Online Social Network Intervention to Increase Physical Activity Among Young African American Women
- ClinicalTrials.gov ID
- NCT02736903
- Acronym / sponsor ID
- PennFit / 823881
- Conditions
- Sedentary Lifestyle
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 91 participants (actual)
- Lead sponsor
- University of PennsylvaniaUniversity, hospital or other
- Study start
- Dec 2015
- Primary completion
- 30 May 2016 (actual)
- Study completion
- 30 Sep 2017 (actual)
- First posted
- 13 Apr 2016 (estimated)
- 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.
Despite the racial disparities in rates of chronic diseases and behaviors linked to chronic diseases, there have been relatively few RCTs of interventions to increase physical activity in African American women. Although some studies found significant improvement on physical activity, most focused on individuals and did not take into consideration the social contexts in which the participants' behaviors occurred. Understanding how online social networks facilitate behavior change can bridge important gaps in the way technology can be used to intervene on health among underserved populations. The primary objective of this study was to test the efficacy of a mobile app (PennFit) intervention in increasing participants' daily active minutes objectively recorded by a fitness tracking device (Fitbit zip). In the control group, participants used the PennFit app to record and monitor their own physical activity progress. In the online social network intervention, participants were randomized to 4-women networks and were able to see and compare their own recorded physical activities with activities of the other three women in their network. Participants in a network had access to an online chatting tool to chat with one another. The secondary objective was to understand the intervention's mechanisms through mediation analysis on theoretical variables.
Detailed description
Despite the racial disparities in rates of chronic diseases and behaviors linked to chronic diseases, there have been relatively few RCTs of interventions to increase physical activity in African American women. Although some studies found significant improvement on physical activity, most focused on individuals and did not take into consideration the social contexts in which the participants' behaviors occurred. A review of qualitative studies of physical-activity correlates in African American adults found that both men and women said group participation would increase their motivation to exercise, and women said that having a physically active partner or friend would facilitate their initiation and maintenance of a physical-activity program. For instance, focus groups with African American women suggested that having a friend or group to exercise with was motivating and should be considered to be an important component of physical activity programs.This finding is consistent with other studies identifying social support as encouraging African American women to engage in physical activity. While previous research emphasized the effects of social support on facilitating physical activity, it is also possible that a lack of social network members perceiving physical activity as a normative behavior may contribute to low rates of physical activity in African American women. Two correlational research found that social support and descriptive norms both predicted physical activity independently . Two experiments found that manipulating descriptive norms increased physical activity . The findings suggest creating physical activity as a normative behavior within African American women's social networks may be an effective way to establish, potentially sustaining physical activity in the long term.
Young African Americans are heavy users of social networking technologies. In 2013, 96% of African Americans aged 18 to 29 used a social networking site of some kind. Understanding how online social networks facilitate behavior change can bridge important gaps in the way technology can be used to intervene on health among underserved populations. The primary objective of this study was to test the efficacy of a mobile app (PennFit) intervention in increasing participants' daily active minutes objectively recorded by a fitness tracking device (Fitbit zip). In the control group, participants used the PennFit app to record and monitor their own physical activity progress. In the online social network intervention, participants were randomized to 4-women networks and were able to see and compare their own recorded physical activities with activities of the other three women in their network. Participants in a network had access to an online chatting tool to chat with one another. The secondary objective was to understand the intervention's mechanisms through mediation analysis on theoretical variables.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Triple blind (participant, investigator, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Individual intervention | Active comparator | Behavioral: PennFit mobile individual interventionBehavioral: PennFit mobile individual intervention. Participants were given a Fitbit (zip) to track their daily exercises. Participants used the PennFit app to track their own daily steps and the minutes for vigorous, moderate, and muscle-strengthening exercises that they completed for each day. Participants also received system-generated notifications that reminded them to wear their Fitbit in the morning and to log their activity minutes in the evening. |
| Online network intervention | Experimental | Behavioral: PennFit mobile online network interventionBehavioral: PennFit mobile online network intervention. Participants were given a Fitbit (zip) to track their daily exercises. Participants used the PennFit app to track their exercises. Participants also received system-generated notifications that reminded them to wear their Fitbit in the morning and to log their activity minutes in the evening. Participants were randomly assigned to 4-person online networks in the PennFit app. Participants in the online networks could see both their own information and the profiles and activity logs of the three other people assigned to their network. In addition, they could send messages to the network through an instant chatting tool. |
Who may qualify
- Ages
- 18 to 35 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (4 listed)
- African American women (self-identified)
- Aged 18 to 35
- Using an Android smartphone
- Residing in Philadelphia
Key exclusion criteria (3 listed)
- Already participating in another physical activity study
- Not able or willing to carry an Android smartphone
- Being pregnant
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 |
|---|---|---|
| PennFit mobile individual interventionPennFit (individual) is a mobile app intervention. Participants received a Fitbit physical activity tracking device and an introductory physical activity promotion session emphasizing the health benefits of physical activity and building skills for daily exercises. Participants used the PennFit app (individual) to record and monitor their own physical activity progress. | Behavioural | Individual intervention |
| PennFit mobile online network interventionPennFit (online network) is a mobile app intervention. Participants received a Fitbit physical activity tracking device and an introductory physical activity promotion session emphasizing the health benefits of physical activity and building skills for daily exercises. Participants used the PennFit app (online network) to record and monitor their own physical activity progress. They could see both their own information and the profiles and activity logs of the three other women assigned to their network. In addition, they could send messages to the network through an instant chatting tool. | Behavioural | Online network intervention |
Primary outcome
Daily active exercise minutes
Time frame: Intervention day 1 to day 90
Daily active exercise minutes are recorded by the Fitbit (zip) tracking device
3 secondary outcomes
Daily steps
Time frame: Intervention day 1 to day 90
Daily active calories
Time frame: Intervention day 1 to day 90
Self-reported physical activity
Time frame: Past 7 days
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 12 Jan 2018.
- Background: PubMed 26844132Zhang J, Brackbill D, Yang S, Centola D. Efficacy and causal mechanism of an online social media intervention to increase physical activity: Results of a randomized controlled trial. Prev Med Rep. 2015 Aug 13;2:651-7. doi: 10.1016/j.pmedr.2015.08.005. eCollection 2015.
- Background: PubMed 24736094Jemmott JB 3rd, Jemmott LS, Ngwane Z, Zhang J, Heeren GA, Icard LD, O'Leary A, Mtose X, Teitelman A, Carty C. Theory-based behavioral intervention increases self-reported physical activity in South African men: a cluster-randomized controlled trial. Prev Med. 2014 Jul;64:114-20. doi: 10.1016/j.ypmed.2014.04.012. Epub 2014 Apr 13.
- Derived from this study: PubMed 30788692Zhang J, Jemmott Iii JB. Mobile App-Based Small-Group Physical Activity Intervention for Young African American Women: a Pilot Randomized Controlled Trial. Prev Sci. 2019 Aug;20(6):863-872. doi: 10.1007/s11121-019-01006-4.
- Individual participant dataSharing planned: No
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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.
John B Jemmott, PhD principal investigator
University of Pennsylvania
Questions about this trial
What is this clinical trial studying?
A study testing PennFit mobile individual intervention and PennFit mobile online network intervention in people with Sedentary Lifestyle, run by University of Pennsylvania.
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 4 inclusion and 3 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 12 Jan 2018. Status can change between updates, so confirm with the study contact before making plans.
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?
Daily active exercise minutes (time frame: Intervention day 1 to day 90). 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 NCT02736903, which also lists 3 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 12 Jan 2018.