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Abstract PO-013: Racial differences in smoking rates among low-income adults living in a large urban area

2022· article· en· W4205823875 on OpenAlexaboutno aff
Alana Steffen, Larisa Burke, Cherdsak Duangchan, Karriem S. Watson, Alicia K. Watson

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2022
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsDemographyEthnic groupMedicineSexual orientationPoverty levelGerontologyQuarter (Canadian coin)Household incomeSocioeconomic statusPovertyPsychologyGeographyPopulationEnvironmental healthSocial psychology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.044
GPT teacher head0.349
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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