Community‐Acquired Pneumonia in Older People: The Need for a Broader Perspective
Bibliographic record
Abstract
Community-acquired pneumonia (CAP) poses a substantial threat to the health of older adults. The incidence of this infection and mortality associated with it increase with age. Despite the considerable effect of CAP on older adults, little is known about the effect of socioeconomic and environmental factors on CAP in older people. This paper argues that broader determinants, including socioeconomic status (SES), nutrition, and factors in the physical environment such as exposure to tobacco smoke and air pollution need to be evaluated as potential risk factors for CAP in older adults. Data suggesting a relationship between low SES and risk of acquiring CAP exist; possible causal pathways include increased exposure through crowding or increased susceptibility to infection. Inadequate nutrition, exposure to tobacco smoke, air pollution, and not receiving immunization may predispose older people to lower respiratory tract infection. This study reviews current evidence for these potential risk factors and suggests priorities for research. A thorough understanding of these factors and their underlying biological mechanisms is needed to develop successful health-promotion strategies such as better immunization strategies and educational programs about nutrition. Determining the effect of air pollution on CAP in older adults is important in terms of reducing personal risk to older individuals and for healthcare agencies charged with formulating policy to protect the health of older adults.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".