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A Group-Based Walking Study Using WeChat to Enhance Physical Activity Among Older Adults

A Group-Based Walking Study Using WeChat to Enhance Physical Activity Among Older Adults: The Role of Social Engagement

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03803085
Enrollment
60
Registered
2019-01-14
Start date
2018-10-30
Completion date
2019-07-02
Last updated
2020-11-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Inactivity, Sedentary Behavior

Brief summary

The aim for the study is to use the function WeRun in the application WeChat to encourage physical activity and social engagement among community dwelling older adults and their family members and friends. The specific aims are to test the effectiveness of a social contact and comparison intervention for increasing regular daily physical activity among community dwelling older adults, and to examine the potential effectiveness of WeChat in cultivating social engagement and well-being among community dwelling older adults.

Detailed description

The aim for the study is to use the function WeRun in the application WeChat to encourage physical activity and social engagement among community dwelling older adults. The investigators asked participants in the social engagement group to use the WeRun function in WeChat to track their daily walking steps and to compare their performance with their group members for 4 weeks. To encourage social engagement among their group members, the daily walking steps were calculated and the participant who has the highest step count in the group will be indicated each day.Those in the control group will only use the WeRun function in WeChat to track their own walking steps. The investigators expected that the participants in the social contact group will walk more often and report more social activities than those in the control group, who will not compete with their peers in daily walking. To test these predictions, daily walking steps and the total walking steps per week were obtained and compared across groups. The nature and the extent of change was analyzed over the four weeks. Exercise self-efficacy was measured using a measure based on Bandura's model. Social engagement was measured using the short Lubben Social Network Scale, a self report measure of social engagement on a 12-item scale, and physical activity was measured using International Physical Activity Questionnaire (IPAQ), a self-report measure of physical activity on a 12-item scale.

Interventions

BEHAVIORALControl condition

Participants in the control group only saw their own daily walking steps using the WeChat. They did not use WeChat to see other group members' daily steps and did not contact other group members. The participants were asked to use the app every day. A message (through WeChat) was sent to remind them to use the application if they had not done so within three days.

Participants in the experimental condition used WeChat for 4 weeks to see their own and other's walking steps and also were able to contact other group members. The participants were asked to use the application every day. A message (through the group chat) was sent to remind them to use the application if they have not done so within three days.

Sponsors

Brandeis University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

A total of 60 adults were recruited and randomly assigned to either the control condition (n=30) or the treatment condition (n=30). The 60 participants completed the study in one of three subgroups, with 20 participants randomly assigned to two groups (10 in the treatment group and 10 in the control group). Both conditions will use the WeChat App for use on a smartphone. The control group used the WeRun program to count their own steps. The treatment condition used the WeRun to engage in social contact and compare their steps with others in the group.

Eligibility

Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Participants who are 60 or older who have a cellphone, with either android or iPhone system with data plan. * They must be fit enough to walk for at least 20 minutes at a time. * English speaking

Exclusion criteria

* Unable to walk more than 20 minutes; * do not have smart phone with data plan. * younger than 60

Design outcomes

Primary

MeasureTime frameDescription
Number of Steps Walked[Time Frame: Baseline (pretest) Week, Week 4 (posttest) and Week 8 (one month follow up)]Weekly average number of steps recorded with WeRun on the phone \[ (averaged across 7 days at Baseline week and averaged across 7 days at Week 4 (Posttest) and averaged across 7 days at Week 8 (one month follow up)\].

Secondary

MeasureTime frameDescription
Social EngagementPretest given 1 week before the intervention and then at the posttest after the 4 week study and one month follow upShort Lubben Social Network Scale-Revised, a self-report measure of social engagement on a 12-item scale. The total score is calculated by the sum of all the items. The total score ranges between 0 and 60, with a higher score indicating more social engagement.
Exercise Self EfficacyPretest given 1 week before the intervention and then at the posttest after the 4 week study and one month follow upThis scale is a self-report of exercise self-efficacy. Total score is calculated by summing the responses to each question. This scale has a range of total scores from 0-90. A higher score indicates higher self-efficacy for exercise.

Countries

United States

Participant flow

Participants by arm

ArmCount
Control Condition
Participants only saw their own daily walking steps using the WeRun function in WeChat. They did not use WeChat to see other group members' daily steps and did not engage in social contact with their group members. Control condition: Participants in the control group only saw their own daily walking steps using the WeChat. They did not use WeChat to see other group members' daily steps and did not contact other group members. The participants were asked to use the app every day. A message (through WeChat) was sent to remind them to use the application if they had not done so within three days.
30
Treatment Condition
Participants saw their own and other group member's daily walking steps using the WeRun function in WeChat and they were able to contact the other members of their group using We Chat. Experimental condition: Participants in the treatment condition used WeChat for 4 weeks to see their own and other's walking steps and also were able to contact other group members. The participants were asked to use the application every day. A message (through the group chat) was sent to remind them to use the application if they have not done so within three days.
30
Total60

Baseline characteristics

CharacteristicTreatment ConditionTotalControl Condition
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
14 Participants26 Participants12 Participants
Age, Categorical
Between 18 and 65 years
16 Participants34 Participants18 Participants
Age, Continuous65.5 years
STANDARD_DEVIATION 5.24
65.4 years
STANDARD_DEVIATION 5.31
65.2 years
STANDARD_DEVIATION 5.32
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
2 Participants3 Participants1 Participants
Race (NIH/OMB)
Black or African American
4 Participants10 Participants6 Participants
Race (NIH/OMB)
More than one race
0 Participants1 Participants1 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
1 Participants1 Participants0 Participants
Race (NIH/OMB)
White
23 Participants45 Participants22 Participants
Region of Enrollment
United States
30 Participants60 Participants30 Participants
Sex: Female, Male
Female
22 Participants45 Participants23 Participants
Sex: Female, Male
Male
8 Participants15 Participants7 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 300 / 30
other
Total, other adverse events
0 / 300 / 30
serious
Total, serious adverse events
0 / 300 / 30

Outcome results

Primary

Number of Steps Walked

Weekly average number of steps recorded with WeRun on the phone \[ (averaged across 7 days at Baseline week and averaged across 7 days at Week 4 (Posttest) and averaged across 7 days at Week 8 (one month follow up)\].

Time frame: [Time Frame: Baseline (pretest) Week, Week 4 (posttest) and Week 8 (one month follow up)]

Population: Analysis population based on participants that successfully synced their WeRun and did not withdraw before the start of the study.

ArmMeasureGroupValue (MEAN)Dispersion
Control ConditionNumber of Steps WalkedPretest3992 stepsStandard Deviation 2388
Control ConditionNumber of Steps WalkedPosttest4171 stepsStandard Deviation 3122
Control ConditionNumber of Steps WalkedFollow-up test4330 stepsStandard Deviation 3185
Treatment ConditionNumber of Steps WalkedPretest4125 stepsStandard Deviation 2693
Treatment ConditionNumber of Steps WalkedPosttest5872 stepsStandard Deviation 3494
Treatment ConditionNumber of Steps WalkedFollow-up test5911 stepsStandard Deviation 3467
p-value: 0.02Mixed Models Analysis
Secondary

Exercise Self Efficacy

This scale is a self-report of exercise self-efficacy. Total score is calculated by summing the responses to each question. This scale has a range of total scores from 0-90. A higher score indicates higher self-efficacy for exercise.

Time frame: Pretest given 1 week before the intervention and then at the posttest after the 4 week study and one month follow up

Population: Analysis population based on those who completed exercise self-efficacy measurement at each testing point.

ArmMeasureGroupValue (MEAN)Dispersion
Control ConditionExercise Self EfficacyPretest57.7 units on a scaleStandard Deviation 22.8
Control ConditionExercise Self EfficacyPosttest55.8 units on a scaleStandard Deviation 21.8
Control ConditionExercise Self EfficacyFollow-up test53.2 units on a scaleStandard Deviation 21.4
Treatment ConditionExercise Self EfficacyPretest60.3 units on a scaleStandard Deviation 22.3
Treatment ConditionExercise Self EfficacyPosttest67.0 units on a scaleStandard Deviation 21.6
Treatment ConditionExercise Self EfficacyFollow-up test60.3 units on a scaleStandard Deviation 22.5
p-value: 0.06Mixed Models Analysis
Secondary

Social Engagement

Short Lubben Social Network Scale-Revised, a self-report measure of social engagement on a 12-item scale. The total score is calculated by the sum of all the items. The total score ranges between 0 and 60, with a higher score indicating more social engagement.

Time frame: Pretest given 1 week before the intervention and then at the posttest after the 4 week study and one month follow up

Population: Analysis population based on those who completed social engagement measurement at each testing point.

ArmMeasureGroupValue (MEAN)Dispersion
Control ConditionSocial EngagementPretest35.1 units on a scaleStandard Deviation 11.5
Control ConditionSocial EngagementPosttest37.1 units on a scaleStandard Deviation 8.3
Control ConditionSocial EngagementFollow-up test37.7 units on a scaleStandard Deviation 8.9
Treatment ConditionSocial EngagementPretest35.9 units on a scaleStandard Deviation 11.3
Treatment ConditionSocial EngagementPosttest45.7 units on a scaleStandard Deviation 11.5
Treatment ConditionSocial EngagementFollow-up test44.1 units on a scaleStandard Deviation 10.8
p-value: 0.03Mixed Models Analysis

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026