Summary health statistics for U.S. adults: National Health Interview Survey, 1997.
Bibliographic record
Abstract
This report presents health statistics from the 1997 National Health Interview Survey for the civilian noninstitutionalized adult population, classified by sex, age, race and Hispanic origin, poverty status, region of residence, and where appropriate, education, income, health insurance coverage, marital status, and place of residence. The topics covered are health status and limitations in activity, health care access and utilization, health behaviors and lifestyle, chronic condition prevalence, and knowledge and attitudes toward the Acquired Immunodeficiency Syndrome (AIDS). Source of Data The NHIS is a multistage probability sample survey conducted annually by interviewers of the U.S. Census Bureau for the National Center for Health Statistics, Centers for Disease Control and Prevention, and is representative of the civilian noninstitutionalized U.S. population. Data are collected during face-to-face interviews. Highlights Among adults 18 years of age or over, 12% had ever been told by a doctor or health professional that they had heart disease, 6% had ever been told they had coronary heart disease, and 19% had been told on two visits or more that they had hypertension. Nearly a quarter of adults were current smokers, 23% were former smokers, and 52% had never smoked. Sixty-one percent did not engage in any leisure-time vigorous physical activity, while approximately 24% engaged in such activity three times or more per week. Based on estimates of body mass index, 4% of adults were underweight, 42% were at a healthy weight, 35% were overweight, and 19% were obese.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.077 | 0.065 |
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".