Race, place, and socioeconomic status: A path toward lung cancer early detection

Warner, Erica T.

doi:10.1002/cncr.34330

Cited by 2 publications

(2 citation statements)

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“…Socioeconomic status (SES) is a combined social and economic measure of a person's education, income, occupation, living conditions, and access to opportunities and resources. SES has been recognized as a key determinant of all-cause mortality, influencing a person's health throughout their lifespan [23,[48][49][50][51]. Moreover, among all cancers, SES has a big impact on lung cancer and the observed disparity in incidence, treatment, and outcome (Table 1) [52].…”

Section: Association Of Social Factors In Lung Cancer Disparitymentioning

confidence: 99%

“…Several studies have shown an association between better quality of life and higher SES among patients diagnosed at early-stage lung cancer (i.e., stage I/II) [54]. To measure the impact on health outcomes, SES can be assessed at various levels, such as personal, interpersonal, and societal levels [48,50,51,55]. AAs tend to have lower economic status than all other ethnic groups in the United States.…”

Section: Association Of Social Factors In Lung Cancer Disparitymentioning

confidence: 99%

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Social and Biological Determinants in Lung Cancer Disparity

Brock,

Mir,

Flenaugh

et al. 2024

Cancers

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Lung cancer remains a leading cause of death in the United States and globally, despite progress in treatment and screening efforts. While mortality rates have decreased in recent years, long-term survival of patients with lung cancer continues to be a challenge. Notably, African American (AA) men experience significant disparities in lung cancer compared to European Americans (EA) in terms of incidence, treatment, and survival. Previous studies have explored factors such as smoking patterns and complex social determinants, including socioeconomic status, personal beliefs, and systemic racism, indicating their role in these disparities. In addition to social factors, emerging evidence points to variations in tumor biology, immunity, and comorbid conditions contributing to racial disparities in this disease. This review emphasizes differences in smoking patterns, screening, and early detection and the intricate interplay of social, biological, and environmental conditions that make African Americans more susceptible to developing lung cancer and experiencing poorer outcomes.

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Section: Association Of Social Factors In Lung Cancer Disparitymentioning

confidence: 99%

Section: Association Of Social Factors In Lung Cancer Disparitymentioning

confidence: 99%

Social and Biological Determinants in Lung Cancer Disparity

Brock,

Mir,

Flenaugh

et al. 2024

Cancers

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Demographic, health and socioeconomic characteristics related to lung cancer diagnosis: a population analysis in New South Wales, Australia

Banham,

Roder,

Stone

et al. 2024

Discov Soc Sci Health

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Background Lung cancer is a major cause of health loss internationally, and in Australia. Most of that loss is inequitably concentrated among vulnerable or disadvantaged people and amenable to prevention and earlier detection. In response, best practice lung cancer care considers peoples’ background, circumstances and care needs. Comprehensive, person level descriptions of demographic, health and discrete socio-economic disadvantage related factors are therefore required to inform best practice. We examine population wide correlations of demographic, health and socioeconomic characteristics with lung cancer diagnosis for use in cancer control programs, including screening. Methods A study of 5,504,777 (89.9%) adults living in New South Wales and participating in Australia’s Census in August 2016 with subsequent follow-up to the end of 2018. The Australian Bureau of Statistics’ (ABS) person-level integrated data asset linked census records with the NSW population cancer registry which includes primary site. Our study compared census participants who did not experience cancer in the follow-up period with those diagnosed with lung cancer, (n = 6160 and ICD10 C33-34). Outcomes are expressed as the adjusted relative odds (aOR) of incident lung cancer among adults in the community and measured using multi-variable logistic regression models. Validated ABS methods informed categorisation of social and economic variables. Results Multivariable comparison of those with lung cancer and those without a first cancer diagnosis (3276 lung cancers among 2,484,145 males; 2884 lung cancers among 2,944,148 females) showed associations with increasing age, varying ancestry, living alone (aOR = 1.30 95% CI 1.19–1.42 males; 1.24 95% CI 1.14–1.35 females), number of health conditions medicated, less than Year 12 education (aOR = 1.40 95% CI 1.30–1.51 males; 1.37 95% CI 1.27–1.48 females) and housing authority rental (aOR = 1.69 95% CI 1.48–1.94 males; 1.85 95% CI 1.63–2.11 females). Additional associations occurred among males with low income, disabilities before age 70, those unemployed and labouring occupations. As numbers of characteristics increased, so did the likelihood of lung cancer. Conclusion We provided a population wide description of characteristics relevant to lung cancer diagnosis. Deeper knowledge of these characteristics inform continuing development of lung cancer programs in prevention (e.g. tobacco control) and detection (e.g. lung cancer screening), then help prioritise targeted delivery of those programs.

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Race, place, and socioeconomic status: A path toward lung cancer early detection

Cited by 2 publications

References 8 publications

Social and Biological Determinants in Lung Cancer Disparity

Social and Biological Determinants in Lung Cancer Disparity

Demographic, health and socioeconomic characteristics related to lung cancer diagnosis: a population analysis in New South Wales, Australia

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