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CTRI Number  CTRI/2026/01/102079 [Registered on: 27/01/2026] Trial Registered Prospectively
Last Modified On: 27/01/2026
Post Graduate Thesis  No 
Type of Trial  Observational 
Type of Study   Cross Sectional Study 
Study Design  Other 
Public Title of Study   A Survey on adults using AI based fitness apps to check how regularly they follow exercise routines 
Scientific Title of Study   Effect of AI Based Fitness applications on Exercise Adherence A Cross-sectional study 
Trial Acronym  NIL 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  DCGI 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr Ishwa Nathwani 
Designation  Assistant Professor 
Affiliation  SMBT College of Physiotherapy 
Address  Department of kinesiotherapy and physical diagnosis

Nashik
MAHARASHTRA
422003
India 
Phone  7038188170  
Fax    
Email  nathwaniishwa8@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  Dr Ishwa Nathwani 
Designation  Assistant Professor 
Affiliation  SMBT College of Physiotherapy 
Address  Department of kinesiotherapy and physical diagnosis

Nashik
MAHARASHTRA
422003
India 
Phone  7038188170  
Fax    
Email  nathwaniishwa8@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Dr Ishwa Nathwani 
Designation  Assistant Professor 
Affiliation  SMBT College of Physiotherapy 
Address  Department of kinesiotherapy and Physical diagnosis

Nashik
MAHARASHTRA
422003
India 
Phone  7038188170  
Fax    
Email  nathwaniishwa8@gmail.com  
 
Source of Monetary or Material Support  
NIL 
 
Primary Sponsor  
Name  SMBT College of physiotherapy 
Address  Nandi hills dhamangaon ghoti sinnar rd nashik maharashtra india 422403 
Type of Sponsor  Private medical college 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr Ishwa Nathwani  SMBT College of Physiotherapy  Department of kinesiotherapy and physical diagnosis
Nashik
MAHARASHTRA 
7038188170

nathwaniishwa8@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institutional Research Board  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Healthy Human Volunteers  healthy young adults 
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Nil  Nil 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  40.00 Year(s)
Gender  Both 
Details  1 Individuals aged 18 to 40 years
2 Users of AI-driven fitness applications current or past users
3 Willingness to participate in the study
4 Ability to understand and respond to the questionnaire in English
 
 
ExclusionCriteria 
Details  1 Individuals below 18 years of age
2 Participants with self-reported medical conditions restricting physical activity
3 Incomplete or duplicate questionnaire responses.
 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
self structured google questionnaire  4 weeks 
 
Secondary Outcome  
Outcome  TimePoints 
NIL  NIL 
 
Target Sample Size   Total Sample Size="221"
Sample Size from India="221" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   09/02/2026 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="0"
Months="1"
Days="0" 
Recruitment Status of Trial (Global)   Not Applicable 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   This study aims to assess the association between the use of AI based fitness applications and exercise adherence among young adults. It is a cross sectional observational study in which data will be collected at a single point in time using a questionnaire. The study will help understand exercise adherence patterns among young adults using fitness applications 
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