Abstract PO-013: Racial differences in smoking rates among low-income adults living in a large urban area
Bibliographic record
Abstract
Abstract PURPOSE While smoking rates have decreased nationally, they remain elevated in underserved communities. The purpose of this study was to investigate smoking rates among race/ethnic groups in Chicago and for lower income levels across segregated neighborhoods served by a network of 6 federally qualified health center clinics. METHODS The Healthy Chicago Survey, an annual telephone survey of adults conducted by the Chicago Department of Public Health (2014-2018), was used to obtain rates and correlates of smoking using weighted analyses and linearized standard errors to account for the complex survey design and differential nonresponse. We examined city-wide estimates as well as a subsample composed of lower income (defined as <200% of the poverty level) residents of 3 geographic areas which represent roughly a quarter of Chicago adults (n=3,544 weighted to represent 517,271). RESULTS City-wide Chicago adults are 36% non-Hispanic (NH) White, 29% NH Black, and 26% Hispanic/Latino and have a smoking rate of 18.6% with 60% being daily smokers. The subsample results were 7% NH White, 49% NH Black, and 39% Hispanic Latino; smoking rate 26.8%. Background characteristics most associated with smoking include middle age (30-64 years), male sex, lesbian/gay/bisexual orientation, unmarried/no partner, NH Black, some college or less education, has no personal doctor, and experiences psychological distress. These relationships were consistent citywide and within the subsample except race/ethnic differences were less pronounced for those with lower income. NH Blacks, nearly half our low-income subsample, had the highest smoking rate (35.9%; 95% CI [33.1, 38.7]), followed by NH Whites (31.0 [23.6, 39.4]) with lower rates among Hispanic/Latinos (16.0 [13.4, 19.0]). The subsample comprised three distinct regions within the city with varying levels of race/ethnic diversity. CONCLUSION While tobacco use has declined over recent years there are significant disparities based on race and income. Among lower-income adults, NH Blacks, middle-aged, and males are at greater risk for smoking-related health conditions. Our findings demonstrate the higher rates of smoking among Black, medically underserved adults in low-income communities that contribute to health disparities. Citation Format: Alana D. Steffen, Larisa A. Burke, Cherdsak Duangchan, Karriem S. Watson, Alicia K. Watson. Racial differences in smoking rates among low-income adults living in a large urban area [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-013.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".