NCT03081013

Brief Summary

The study aims:

  1. 1.To test the effect of providing social comparison information on increasing physical activity among Singaporean adolescents.
  2. 2.To test whether providing social comparison information increases physical activity more when it is provided publicly compared to when it is provided anonymously.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
311

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Dec 2016

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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

December 1, 2016

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

March 9, 2017

Completed
6 days until next milestone

First Posted

Study publicly available on registry

March 15, 2017

Completed
1.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2018

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2018

Completed
Last Updated

September 6, 2019

Status Verified

September 1, 2019

Enrollment Period

1.7 years

First QC Date

March 9, 2017

Last Update Submit

September 4, 2019

Conditions

Keywords

adolescentssocial norms

Outcome Measures

Primary Outcomes (1)

  • The average number of steps taken per week by participants

    These will be assessed through Fitbit pedometers at baseline and at the last 2 weeks of the trial. All participants will be issued a step counter, the Fitbit Flexâ„¢ for use during the entire 4-month RCT.

    4 months

Secondary Outcomes (2)

  • Health Outcomes: Quality of life index

    4 months

  • Health Outcomes: Depression

    4 months

Study Arms (2)

Private Arm

ACTIVE COMPARATOR

At the end of each week, participants will be provided with the number of steps logged by the participants in their group. The number of steps will be ranked from highest to the lowest without any identifiable information about the participants.

Behavioral: Social informationDevice: Fitbit

Public Arm

EXPERIMENTAL

At the end of each week, participants will be provided with the number of steps logged by the participants in their group. The number of steps will be ranked from highest to the lowest with the full names of the participants corresponding to the number of steps.

Behavioral: Social informationDevice: Fitbit

Interventions

Social comparison information will be provided to the study participants weekly via SMS

Private ArmPublic Arm
FitbitDEVICE

Fitbit is a wireless pedometer that tracks steps of participants and will be offered in conjunction with a tailored website with customised information for participants.

Also known as: Fitbit Flex, wireless pedometer, physical activity tracker
Private ArmPublic Arm

Eligibility Criteria

Age13 Years - 16 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17)

You may qualify if:

  • The study's target population is adolescents aged 13-16 years. Participants should be Singaporean citizens or permanent residents. Participants should be English-speaking. Participants should be willing to wear a pedometer for 4 months. Only participants who provide at least 8 (out of 14 days) valid days of pedometer data including at least 2 days of the weekend at baseline will be included.

You may not qualify if:

  • Participants will be asked to complete a short screener questionnaire to ensure that they are healthy enough to participate. Participants reporting the following will be excluded:
  • Having any medical condition that may limit their ability to walk as a means of physical activity
  • Are unwilling to wear a wireless pedometer for 4 months
  • Participants will also be screened with a Physical Activity Readiness Questionnaire (PAR-Q). Those who answer 'YES' to any PAR-Q question will be permitted to enroll only if they provide written approval from a medical doctor.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Duke-NUS Medical School

Singapore, 169857, Singapore

Location

Related Publications (19)

  • Must A, Strauss RS. Risks and consequences of childhood and adolescent obesity. Int J Obes Relat Metab Disord. 1999 Mar;23 Suppl 2:S2-11. doi: 10.1038/sj.ijo.0800852.

    PMID: 10340798BACKGROUND
  • Chia M. Pedometer-assessed physical activity of Singaporean youths. Prev Med. 2010 May-Jun;50(5-6):262-4. doi: 10.1016/j.ypmed.2010.03.004. Epub 2010 Mar 11.

    PMID: 20226810BACKGROUND
  • Lee KS, Trost SG. Validity and reliability of the 3-day physical activity recall in Singaporean adolescents. Res Q Exerc Sport. 2005 Mar;76(1):101-6. doi: 10.1080/02701367.2005.10599265. No abstract available.

    PMID: 15810774BACKGROUND
  • Kirkcaldy BD, Shephard RJ, Siefen RG. The relationship between physical activity and self-image and problem behaviour among adolescents. Soc Psychiatry Psychiatr Epidemiol. 2002 Nov;37(11):544-50. doi: 10.1007/s00127-002-0554-7.

    PMID: 12395145BACKGROUND
  • Sallis JF, Prochaska JJ, Taylor WC. A review of correlates of physical activity of children and adolescents. Med Sci Sports Exerc. 2000 May;32(5):963-75. doi: 10.1097/00005768-200005000-00014.

    PMID: 10795788BACKGROUND
  • Maturo CC, Cunningham SA. Influence of friends on children's physical activity: a review. Am J Public Health. 2013 Jul;103(7):e23-38. doi: 10.2105/AJPH.2013.301366. Epub 2013 May 16.

    PMID: 23678914BACKGROUND
  • Donaldson SI, Graham JW, Hansen WB. Testing the generalizability of intervening mechanism theories: understanding the effects of adolescent drug use prevention interventions. J Behav Med. 1994 Apr;17(2):195-216. doi: 10.1007/BF01858105.

    PMID: 8035452BACKGROUND
  • Larimer ME, Neighbors C. Normative misperception and the impact of descriptive and injunctive norms on college student gambling. Psychol Addict Behav. 2003 Sep;17(3):235-43. doi: 10.1037/0893-164X.17.3.235.

    PMID: 14498818BACKGROUND
  • Neighbors C, Larimer ME, Lewis MA. Targeting misperceptions of descriptive drinking norms: efficacy of a computer-delivered personalized normative feedback intervention. J Consult Clin Psychol. 2004 Jun;72(3):434-47. doi: 10.1037/0022-006X.72.3.434.

    PMID: 15279527BACKGROUND
  • Schultz PW, Nolan JM, Cialdini RB, Goldstein NJ, Griskevicius V. The constructive, destructive, and reconstructive power of social norms. Psychol Sci. 2007 May;18(5):429-34. doi: 10.1111/j.1467-9280.2007.01917.x.

    PMID: 17576283BACKGROUND
  • Yun D, Silk KJ. Social norms, self-identity, and attention to social comparison information in the context of exercise and healthy diet behavior. Health Commun. 2011 Apr;26(3):275-85. doi: 10.1080/10410236.2010.549814.

    PMID: 21400325BACKGROUND
  • Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, Hatano Y, Lubans DR, Olds TS, Raustorp A, Rowe DA, Spence JC, Tanaka S, Blair SN. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act. 2011 Jul 28;8:78. doi: 10.1186/1479-5868-8-78.

    PMID: 21798014BACKGROUND
  • Finkelstein EA, Tan YT, Malhotra R, Lee CF, Goh SS, Saw SM. A cluster randomized controlled trial of an incentive-based outdoor physical activity program. J Pediatr. 2013 Jul;163(1):167-72.e1. doi: 10.1016/j.jpeds.2013.01.009. Epub 2013 Feb 14.

    PMID: 23415616BACKGROUND
  • Tudor-Locke C, Johnson WD, Katzmarzyk PT. Accelerometer-determined steps per day in US children and youth. Med Sci Sports Exerc. 2010 Dec;42(12):2244-50. doi: 10.1249/MSS.0b013e3181e32d7f.

    PMID: 20421837BACKGROUND
  • Woo BS, Chang WC, Fung DS, Koh JB, Leong JS, Kee CH, Seah CK. Development and validation of a depression scale for Asian adolescents. J Adolesc. 2004 Dec;27(6):677-89. doi: 10.1016/j.adolescence.2003.12.004.

    PMID: 15561310BACKGROUND
  • Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987 Nov;16(6):825-36. doi: 10.1016/0091-7435(87)90022-3.

    PMID: 3432232BACKGROUND
  • Saunders RP, Pate RR, Felton G, Dowda M, Weinrich MC, Ward DS, Parsons MA, Baranowski T. Development of questionnaires to measure psychosocial influences on children's physical activity. Prev Med. 1997 Mar-Apr;26(2):241-7. doi: 10.1006/pmed.1996.0134.

    PMID: 9085394BACKGROUND
  • Neil-Sztramko SE, Caldwell H, Dobbins M. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev. 2021 Sep 23;9(9):CD007651. doi: 10.1002/14651858.CD007651.pub3.

  • Lee JJ, Nadkarni NV, Teo I, Ozdemir S. The Effect of Social Norm-based Intervention with Observable Behaviour on Physical Activity among Adolescents: A Randomized Controlled Trial. BMC Sports Sci Med Rehabil. 2020 Aug 31;12:52. doi: 10.1186/s13102-020-00202-y. eCollection 2020.

Related Links

MeSH Terms

Conditions

Motor Activity

Condition Hierarchy (Ancestors)

Behavior

Study Officials

  • Semra Ozdemir, PhD

    Duke-NUS Graduate Medical School

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
FACTORIAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

March 9, 2017

First Posted

March 15, 2017

Study Start

December 1, 2016

Primary Completion

August 1, 2018

Study Completion

December 1, 2018

Last Updated

September 6, 2019

Record last verified: 2019-09

Data Sharing

IPD Sharing
Will share

Upon request from the principal investigator, individual participant data will be available to other researchers for secondary analysis purposes, such as meta-analyses, reanalysis or replication of results. Any data that will be shared will be de-identified so privacy of the participants will be protected.

Locations