The Relationship of Internet-Social Media Use with Cognıtıve Functıons and Depression Level in Adults Over 50 Years
Bibliographic record
Abstract
ABSTRACT Objective: This study was conducted to evaluate the effects of internet-social media use on depression and cognitive functions in individuals aged 50 and over. Method: This research is a cross-sectional descriptive study. The sample of the research consisted of 398 people. Data were collected by face-to-face interview using a questionnaire, Geriatric Depression Scale-Short Form and Montreal Cognitive Assessment Scale. Results: The average age of the participants in the study was determined as 59.8±7.8 years. It was determined that 40.7% of individuals use social media, 23.9% find social media useful, and 37.4% use social media for communication purposes. It was determined that independent variables such as age, education, income level, and whom one lives with at home significantly affected the depression level and cognitive dysfunction parameters (p
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".