Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Vinnova | OTHER_GOV |
Not provided
Not provided
Not provided
Not provided
Not provided
The purpose of this study is to develop an artificial intelligence-based chatbot application to support exercise behavior in individuals aged 60 and over who do not regularly exercise, and to evaluate its effectiveness. In addition, the study aims to examine the effects of changes in exercise habits on the cognitive (mental) functions of older adults.
In this study, the impact of a chatbot-supported personalized exercise program on cognitive functions in older individuals will be evaluated. A total of 90 participants is planned for inclusion in this study.
If you agree to participate in this study, depending on the group you are assigned to, you may receive:
At the beginning of the study, you will be asked to complete a data collection form. The same form will also be administered at week 12 and week 24.
This form will include:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Artificial intelligence-supported chatbot and educational brochure on the importance of exercise | Experimental | Participants assigned to this arm will receive a combined digital and educational intervention designed to promote behavior change in physical activity. In addition to a standard researcher-developed informational brochure describing the health benefits of exercise, participants will have access to a chatbot supported by artificial intelligence technology. The chatbot will provide:
The brochure will provide standardized, non-interactive information on:
|
|
| Control (Brochure Only) Group | No Intervention | Participants assigned to this arm will receive a standard researcher-developed informational brochure on the importance of exercise, but will not receive any digital or interactive intervention. The brochure will provide standardized, non-interactive information on:
In addition to receiving the brochure, participants will:
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial intelligence-supported chatbot | Behavioral | Participants will receive a combined behavioral intervention of an educational brochure developed by the Ministry of Health and access to an artificial intelligence (AI)-supported chatbot designed to promote physical activity. The brochure will provide standardized written information on the importance of exercise, including general recommendations, health benefits, and basic guidance for an active lifestyle. Participants will also have access to an AI-supported chatbot throughout the intervention period. The chatbot will deliver automated, interactive messages to increase physical activity, including motivational prompts, educational reinforcement, and behavior-change support. The intervention will be delivered digitally via the chatbot platform, with no medication or physical devices required. The total duration and frequency of chatbot interactions will be continuous and on-demand during the study period. |
| Measure | Description | Time Frame |
|---|---|---|
| Cognitive function | Cognitive function will be assessed using the Mini-Mental State Examination (MMSE), a standardized tool evaluating orientation, memory, attention, language, and visuospatial abilities. Higher scores indicate better cognitive performance. | Day 0, 3. Month, 6. Month |
| Measure | Description | Time Frame |
|---|---|---|
| Physical activity level | Physical activity level will be measured using the Physical Activity Scale for the Elderly (PASE), which assesses the frequency and duration of physical activity in older adults, including leisure, household, and occupational activities. Higher scores indicate higher physical activity levels. | Day 0, 3. Month, 6. Month |
| Measure | Description | Time Frame |
|---|---|---|
| Demographic and clinical characteristics | Participant demographic and clinical data will be collected, including age, sex, education level, presence of chronic diseases, and medication use. These variables will be recorded only at baseline. | Day 0 |
| Stage of behavioral change |
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gizem Limnili, MD | Contact | +902324124951 | gizem.limnili@deu.edu.tr | |
| Makbule NesliÅŸah Tan, Associate Professor | Contact | +902324124951 | neslisah.tan@deu.edu.tr |
| Name | Affiliation | Role |
|---|---|---|
| Gizem Limnili | Dokuz Eylul University Faculty of Medicine Department of Family Medicine | Study Director |
| Makbule NesliÅŸah Tan | Dokuz Eylul University Faculty of Medicine Department of Family Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dokuz Eylul University Faculty of Medicine Department of Family Medicine | Izmir | Turkey (Türkiye) |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
|
Participants' stage of change according to the Transtheoretical Model (TTM) will be assessed to determine their readiness for physical activity behavior change. This assessment will be used to tailor chatbot-based behavioral change techniques grounded in TTM and COM-B frameworks, enabling stage-matched intervention delivery. |
| Day 0, 3. Month, 6. Month |
| Vildan Mevsim, Prof | Dokuz Eylul University Faculty of Medicine Department of Family Medicine | Study Chair |
| ID | Term |
|---|---|
| D009043 | Motor Activity |
| D015438 | Health Behavior |
| ID | Term |
|---|---|
| D001519 | Behavior |
Not provided
Not provided