Cognitive Function and Nutritional Status in Pre-Elderly Individuals with Human Immunodeficiency Virus
Bibliographic record
Abstract
Background: Human immunodeficiency virus (HIV) infection remains a global health issue, particularly in Africa and Asia. Cognitive impairment may early develop in individuals living with HIV and can therefore potentially impact nutritional status. This study aimed to assess the correlation between cognitive function and nutritional status in pre-elderly individuals with HIV.Methods: A cross-sectional study was conducted from March 2023 to October 2024 among individuals living with HIV aged 45–59 years in Jakarta, Indonesia. Cognitive function was measured using the Indonesian version of the Montreal Cognitive Assessment (MoCA-Ina) and nutritional status was evaluated using body mass index (BMI). Data were analyzed using the Chi-square test with Jeffrey’s Amazing Statistics Program (JASP).Results: Of the 157 respondents, most were male (75.2%) with a mean age of 49±4.17 years. The majority were unmarried (44.6%), employed (70.1%), had incomes below the Jakarta minimum wage (74.5%), and had completed senior high school education (56.0%). Mild cognitive impairment was found in 70.7% of participants, whereas normal nutritional status was the most common (45.9%). However, no significant relationship was found between cognitive function and nutritional status (p=0.161). Conclusion: Mild cognitive impairment is prevalent among pre-elderly individuals with HIV, most of whom have normal nutritional status. Although no significant relationship is observed between cognitive function and nutritional status, these findings highlight the importance of incorporating early cognitive screening into routine HIV care to support healthy aging and timely identification and management of cognitive decline.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".