Abstract PO-013: Racial differences in smoking rates among low-income adults living in a large urban area
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».