AI-Based Model for Predicting Type 2 Diabetes Risk Using Lifestyle Factors Among Senior Nursing Students
NCT07916428, Not yet recruiting, Alexandria University
Trial 9
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
| Field | Value | Source |
|---|---|---|
| Title | AI-Based Model for Predicting Type 2 Diabetes Risk Using Lifestyle Factors Among Senior Nursing Students | ClinicalTrials.gov |
| NCT number | NCT07916428 | ClinicalTrials.gov |
| Status | Not yet recruiting | ClinicalTrials.gov |
| Enrollment | 200 participants, estimated | ClinicalTrials.gov |
| Lead sponsor | Alexandria University | ClinicalTrials.gov |
| Conditions | Type 2 Diabetes Mellitus | ClinicalTrials.gov |
| Interventions | AI-Based Diabetes Risk Prediction Model | ClinicalTrials.gov |
| First posted | 2026-11-04 | ClinicalTrials.gov |
| Last updated | 2026-11-04 | ClinicalTrials.gov |
Registered outcomes 4
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description | Source |
|---|---|---|---|---|
| Primary | Type 2 Diabetes Risk Level According to AUSDRISK | aseline (single assessment at data collection, up to 1 day per participant) | Proportion of senior nursing students classified as low risk (total score 4 or less), moderate risk (5 to 10), or high risk (11 or more) for developing type 2 diabetes, using the Arabic version of the Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK). Total score ranges from 0 to 34; higher scores indicate higher risk. | ClinicalTrials.gov |
| Primary | Performance of the AI-Based Diabetes Risk Prediction Model | Upon completion of data collection and model development (up to 6 months after study start) | Accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of the machine learning model in classifying students into low, moderate, or high AUSDRISK risk categories, assessed on a held-out test set. | ClinicalTrials.gov |
| Secondary | Health-Promoting Lifestyle Profile II (HPLP-II) Score | Baseline (single assessment at data collection) | Total and subscale scores (health responsibility, physical activity, nutrition, spiritual growth, interpersonal relations, stress management) of the 52-item Arabic HPLP-II, rated on a 4-point scale (1 = never to 4 = routinely). Higher scores indicate more frequent health-promoting behaviors. | ClinicalTrials.gov |
| Secondary | Perceived Usefulness and Ease of Use of the AI Model | Immediately after the student uses the AI model (single assessment) | Scores on a 12-item questionnaire (6 items on perceived usefulness, 6 on perceived ease of use) rated on a 7-point scale (1 = strongly disagree to 7 = strongly agree). Higher scores indicate better perceived usefulness and ease of use. | ClinicalTrials.gov |
Outcomes 0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
| Type | Outcome | Time frame | Population | Units | Measured as | Source |
|---|
Results by group 0
Each measurement the trial posted, group by group, in the words and numbers it posted.
| Outcome | Group | Category | Value | Spread | Units | Source |
|---|
Participant flow 0
How many started, completed or left each group, period by period.
| Period | Milestone | Group | Participants | Units counted | Source |
|---|
Adverse events 0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
| Type | Event | Organ system | Group | Affected | At risk | Events | Source |
|---|
Adverse event totals 0
The totals the trial posted for each group.
| Total | Group | Affected | At risk | Source |
|---|
Papers 0
The papers the trial lists on ClinicalTrials.gov.
| PMID | Listed as | Source |
|---|
Grants 0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
| Project | Title | Principal investigators | Organization | Funder | Fiscal years | Source |
|---|
Trial comparisons 0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
| Comparison | Source |
|---|
Tests 0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
| Test | Named as | Source |
|---|
Source 5
| Field | Value | Source |
|---|---|---|
| Release | trials-2026-11-12-0.4.0 | ClinicalTrials.gov |
| Release manifest SHA-256 | 0f4a8d8c48aee2a7573ae0fa94ecbeab70c1adbe449bbc95c424bc7d3e97b9d4 | ClinicalTrials.gov |
| Registry capture | 2026-11-12 | ClinicalTrials.gov |
| Results copy, AACT | 2026-03-23 | ClinicalTrials.gov |
| NIH clinical studies file | 2026-11-13 | ClinicalTrials.gov |
Release trials-2026-11-12-0.4.0
ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299 ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
NIH RePORTER's clinical studies and project files: Public domain (NIH RePORTER)