Development of a Planned Behavior Theory-Based Physical Activity Application for High School Adolescent Girls
Development Of A Physical Activity İntervention Plan Based On The Theory Of Planned Behavior For High School Adolescent Girls
1 other identifier
interventional
77
1 country
1
Brief Summary
The aim of this study is to examine the effects of a physical activity intervention plan developed based on the theory of planned behavior on the physical activity levels of adolescent girls, their sedentary time and their knowledge about physical activity. Within the scope of this research, answers to the following research questions will be sought;
- 1.Is there a difference in physical activity level between participants in the physical activity intervention plan groups and the control group?
- 2.Is there a difference in terms of daily sedentary time between participants in the physical activity intervention plan groups and the control group?
- 3.Is there a difference in beliefs about physical activity between participants in the physical activity intervention plan groups and the control group?
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Feb 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 26, 2023
CompletedFirst Posted
Study publicly available on registry
January 9, 2024
CompletedStudy Start
First participant enrolled
February 10, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 15, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedMay 18, 2025
May 1, 2025
4 months
December 26, 2023
May 14, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (14)
Affection for Physical Activity
Affection for Physical Activity is one of the subdomains of the Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of ten items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 50, and the minimum score is 5. The higher scores obtrained in the subdimension represent higher belief in that subscale.
4 months
Social Expectations in Physical Activity
Social Expectations in Physical Activity is one of the subdomains of the Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of three items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 15, and the minimum score is 3. The higher scores obtained in the subdimension represent higher belief in that subscale.
4 months
Health Expectations in Physical Activity
Health Expectations in Physical Activity is one of the subdomains of the Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of eight items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 40, and the minimum score is 8. The higher scores obtained in the subdimension represent higher belief in that subscale.
4 months
Attitutde towards Physical Activity
Attitude towards Physical Activity is a composite score of Affection for Physical Activity, Social Expectations in Physical Activity and Health Expectations in Physical Activity subdimensions of the Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of twenty-one items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 105, and the minimum score is 21. The higher scores obtained in the subdimension represent higher attitudes.
4 months
Parental Support in Physical Activity
Parental Support in Physical Activity is one of the subdomains of the Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of three items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 15, and the minimum score is 3. The higher scores obtained in the subdimension represent higher belief in that subscale.
4 months
Peer Support in Physical Activity
Peer Support in Physical Activity is one of the subdomains of Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of three items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 15, and the minimum score is 3. The higher scores obtained in the subdimension represent higher belief in that subscale.
4 months
Subjective Norms in Physical Activity
Subjective Norms in Physical Activity is a composite score of Parental Support in Physical Activity and Peer Support in Physical Activity, a subdimension of Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of six items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 30, and the minimum score is 6. The higher scores obtained in the subdimension represent higher attitudes.
4 months
Perceived Behavioral Control in Physical Activity
Perceived Behavioral Control in Physical Activity is one of the subdomains of the Physical Activity Belief Questionnaire (PAB-Q). The subscale consisted of five items answered on a 5-point Likert scale. The maximum score that can be obtained from this subscale is 25, and the minimum score is 5. The higher scores obtained in the subdimension represent higher belief in that subscale.
4 months
Body Mass Index (BMI)
Body Mass Index (BMI) is a numerical value derived from an individual's weight and height. The BMI is going to be expressed in units of kg/m² (kilograms per square meter) in the metric system.
4 months
Average kcals per day
This outcome measure is going to be measured by Actigraph wGT3X-BT accelerometer. Average kilocalories (kcals) per day refer to the mean energy expenditure related to physical activity over a 24-hour period, as estimated by the wGT3X-BT accelerometer.
4 months
Time in light physical activity
This outcome measure is going to be measured by Actigraph wGT3X-BT accelerometer. Time in light physical activity is the duration spent in activities classified as light intensity by the wGT3X-BT accelerometer.
4 months
Tme in moderate to vigorous physical activity
This outcome measure is going to be measured by Actigraph wGT3X-BT accelerometer. Time in moderate to vigorous physical activity is the combined duration spent in activities classified as both moderate and vigorous intensity by the wGT3X-BT accelerometer.
4 months
Time in vigorous physical activity
This outcome measure is going to be measured by Actigraph wGT3X-BT accelerometer. Time in vigorous physical activity represents the duration spent in activities classified as vigorous intensity by the wGT3X-BT accelerometer.
4 months
Time in moderate physical activity
This outcome measure is going to be measured by Actigraph wGT3X-BT accelerometer. Time in moderate physical activity is the duration spent in activities classified as moderate intensity by the wGT3X-BT accelerometer.
4 months
Secondary Outcomes (7)
Body Weight
4 months
Body Height
4 months
Activity Kilocalories
4 months
Total Sedentary Bout
4 months
Average kcals per hour
4 months
- +2 more secondary outcomes
Study Arms (2)
Intervention Group-1
EXPERIMENTALParticipants in this arm of the experimental group will participate in a school-based intervention program that is based on the theory of planned behavior and includes behavior change techniques. These participants will participate in the intervention plan only in physical education and sports classes at their schools.
Control Group
NO INTERVENTIONThis group will not be involved in any implementation until the end of the research. Ethically, after the research is completed, the proposal to repeat the most effective intervention arm for this group will be presented to the participants in this group.
Interventions
The content of the intervention plan to be implemented consists of the following components: (I) transferring knowledge about health-related physical fitness and physical activity, (II) taking individual responsibility for physical activity monitoring and simple individual planning, (III) including in the program the types of activities that female adolescents choose and declare that they would enjoy participating in.
Eligibility Criteria
You may qualify if:
- Bein high school student
- Do not have any health problems that would prevent from participating in exercise,
- Not participating any another exercise/training program during the research process,
- Voluntarily participation -Being suitable for exercise participation according to Physical Activity -- Readiness Questionnaire (PARQ) test results
You may not qualify if:
- Presence of any significant health conditions that may pose a risk during exercise (e.g., heart conditions, severe respiratory disorders, uncontrolled hypertension).
- A history of musculoskeletal injuries or conditions that would limit participation in physical fitness activities.
- Current or recent participation in another exercise or fitness program.
- Inability to provide informed consent or unwillingness to participate voluntarily.
- Inability to provide parental consent.
- Any medical condition that contraindicates exercise or physical activity as determined by a healthcare professional.
- Age restrictions (younger than 15 and older than 18).
- Cognitive impairments that would hinder the ability to understand and follow exercise instructions.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Eskişehir Technical University
Eskişehir, Tepebaşı, 26555, Turkey (Türkiye)
Related Publications (5)
Owen MB, Curry WB, Kerner C, Newson L, Fairclough SJ. The effectiveness of school-based physical activity interventions for adolescent girls: A systematic review and meta-analysis. Prev Med. 2017 Dec;105:237-249. doi: 10.1016/j.ypmed.2017.09.018. Epub 2017 Sep 28.
PMID: 28964852BACKGROUNDBelanger M, Gray-Donald K, O'Loughlin J, Paradis G, Hanley J. Influence of weather conditions and season on physical activity in adolescents. Ann Epidemiol. 2009 Mar;19(3):180-6. doi: 10.1016/j.annepidem.2008.12.008.
PMID: 19217000BACKGROUNDKornides ML, Rimm EB, Chavarro JE, Gillman MW, Rosner B, Field AE. Seasonal Variations in Meeting Physical Activity Recommendations and Development of Overweight during Adolescence. Child Obes. 2018 Jan;14(1):33-40. doi: 10.1089/chi.2017.0118. Epub 2017 Sep 5.
PMID: 28872346BACKGROUNDTucker P, Gilliland J. The effect of season and weather on physical activity: a systematic review. Public Health. 2007 Dec;121(12):909-22. doi: 10.1016/j.puhe.2007.04.009. Epub 2007 Oct 24.
PMID: 17920646BACKGROUNDRowlands AV, Hughes DR. Variability of physical activity patterns by type of day and season in 8-10-year-old boys. Res Q Exerc Sport. 2006 Sep;77(3):391-5. doi: 10.1080/02701367.2006.10599373. No abstract available.
PMID: 17020083BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Günay Yıldızer, Ph.D.
Eskiehir Technical University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
December 26, 2023
First Posted
January 9, 2024
Study Start
February 10, 2024
Primary Completion
June 15, 2024
Study Completion
December 31, 2024
Last Updated
May 18, 2025
Record last verified: 2025-05
Data Sharing
- IPD Sharing
- Will not share