Revisiting the lung cancer screening eligibility criteria to promote equity for Black individuals.

BACKGROUND: Early detection using low-dose computed tomography reduces lung-cancer-specific mortality by 20% among high-risk individuals. Blacks are less likely than Whites to meet lung cancer screening (LCS) criteria under both the former and the updated United States Preventive Services Task Force (USPSTF) guidelines. The purpose of this study was to assess racial disparities in LCS eligibility and to propose tailored eligibility criteria for Blacks to enable equitable screening rate between Whites and Blacks. METHODS: Data for this study were obtained from the Behavioral Risk Factor Surveillance System (2017-2021). 101,552 subjects were included in the final analysis. By employing a systematic approach, we sought cut-off points at which Blacks were equally likely as Whites to be eligible for LCS. We evaluated the minimum age and smoking pack-years for Blacks while we retained the 2021 USPSTF criteria for Whites. The final decision was based on the minimum Wald's Chi-square statistics. RESULTS: The model we employed identified cut-off points at which Blacks were equally likely as Whites to be eligible for LCS. Retaining the 2021 USPSTF criteria for Whites, the model discovered a new pair of points for Blacks by reducing the minimum age to 43 years and decreasing the cumulative number of cigarettes smoked to 15 pack-years. Based on these cut-off points, we created tailored criteria for Blacks. Under the tailored criteria, Blacks (OR: 1.00; 95 %CI: 0.88-1.14) had the same odds of eligibility for LCS as Whites. The odds of eligibility for LCS by sex under the tailored criteria did not differ significantly for Black men (OR: 1.02; 95 %CI: 0.85-1.24) and Black women (OR: 0.95; 95 %CI: 0.81-1.12) compared to their respective White counterparts. CONCLUSIONS: These tailored criteria for Blacks eliminate the disparities between Blacks and Whites in LCS eligibility. Future studies should test the sensitivity and specificity of these tailored criteria.

Understanding Factors Associated with Uptake of Lung Cancer Screening among Individuals at High Risk.

Early detection using low-dose computed tomography scanning reduces lung cancer-specific mortality by 20% among high-risk individuals. Despite its efficacy, the uptake of lung cancer screening (LCS) remains low. This study aimed to identify factors associated with the uptake of LCS in high-risk individuals. Data for this study were obtained from the Behavioral Risk Factor Surveillance System (n=11,297). Multivariable logistic regression models were used. Individuals with no health insurance (OR: 0.33, 95% CI: 0.19-0.58), no primary health care provider (OR: 0.40, 95% CI: 0.25-0.64), no chronic obstructive pulmonary disease (OR: 0.37, 95% CI: 0.28- 0.49), and racial/ethnic minorities other than Black and Hispanic (OR: 0.49, 95% CI: 0.31-0.78) were less likely to participate in annual LCS. Low-dose computed tomography uptake varied widely across the 24 U.S. states. The findings from this study have important implications for designing more effective interventions to target specific U.S. states and subgroups for the uptake of annual LCS.

Disparities Across the Continuum of Lung Cancer Care.

Despite the overall decline in lung cancer incidence and mortality, minority populations continue to bear a higher disease burden. Lung cancer remains the leading cause of cancer-related death in the United States and disproportionately impacts minority populations. Social determinants of health-including low-socioeconomic status, lack of health insurance, and access to health care- disproportionately impact racial, ethnic, and rural populations resulting in direct consequences on lung cancer disparities.

The association between cancer-related fatigue and diabetes from pre-chemotherapy to 6 months post-chemotherapy.

PURPOSE: To quantify the relationship between diabetes and fatigue from pre-chemotherapy to 6 months post-chemotherapy for women with breast cancer compared to women without a history of cancer (controls). METHODS: This was a secondary analysis from a nationwide prospective longitudinal study of female patients with breast cancer undergoing chemotherapy and controls. Diabetes diagnosis (yes/no) was obtained at baseline, and cancer-related fatigue was measured using the Multidimensional Fatigue Symptom Inventory (MFSI) pre-, post-, and 6 months post-chemotherapy in patients; controls were assessed at equivalent time points. Repeated measures mixed effects models estimated the association between fatigue and diabetes controlling for cancer (yes/no), body mass index, exercise and smoking habits, baseline anxiety and depressive symptoms, menopausal status, marital status, race, and education. RESULTS: Among 439 patients and 235 controls (52.8 ± 10.5 years old), diabetes was twice as prevalent among patients as controls (11.6% vs. 6.8%). At baseline, diabetes was associated with worse fatigue (4.1 ± 1.7 points, p = 0.017). Also, diabetes was associated with clinically meaningful worse fatigue throughout the study period among all participants (5.2 ± 1.9 points, p = 0.008) and patients alone (4.5 ± 2.0, p = 0.023). For the MFSI subdomains among patients, diabetes was associated with worse general (p = 0.005) and mental fatigue (p = 0.026). CONCLUSIONS: Diabetes was twice as prevalent in women with breast cancer compared to controls, and diabetes was associated with more severe cancer-related fatigue in patients before and after chemotherapy and at 6 months post-chemotherapy. Interventions that address diabetes management may also help address cancer-related fatigue during chemotherapy treatment. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01382082, first posted June 27, 2011.

Health related quality of life in adult cancer survivors: Importance of social and emotional support.

BACKGROUND: Adult cancer survivors (ACS) are at increased risk for developing various comorbid conditions and having poor health-related quality of life (HRQOL) when compared to adults with no history of cancer. The effect of social and emotional support on HRQOL among ACS is not fully elucidated. The purpose of this study was to understand the role of social and emotional support on HRQOL in ACS and to examine if the association between social and emotional support and HRQOL is modified by gender, time since cancer diagnosis, or marital status. METHODS: Data for this study were obtained from the 2009 Behavioral Risk Factor Surveillance System. Statistical analysis was based on ACS with complete data (n = 23,939) on all variables considered. Multivariable logistic regression models were used to model the association between social and emotional support and indicators of HRQOL (i.e., general health, physical health, mental health, and activity limitation). To examine if gender, marital status, or the number of years since cancer diagnosis modify the association, separate stratified analyses were conducted. RESULTS: When compared to ACS who reported that they Rarely/Never received social and emotional support, those who reported that they Always received were 32 % less likely to report Fair/Poor General health, 23 % less likely to report frequent unhealthy days of Physical health, 73 % less likely to report frequent unhealthy days of Mental health and 38 % less likely to report frequent unhealthy days of Activity limitation. Social and emotional support was positively associated with all four domains of HRQOL among ACS who were female, unmarried, or greater than 5 years since cancer diagnosis, while this positive association was evident only with one or two domains of HRQOL among their corresponding counterparts (i.e., male, married, less than 5 years since diagnosis). CONCLUSIONS: Social and emotional support is an important factor directly related to a better HRQOL, but it is modified by gender, marital status, and time since diagnosis. Findings from this study should inform health care providers about the importance of a support system for ACS in improving their overall quality of life.

Racial/ethnic disparities in inflammatory breast cancer survival in the Michigan Cancer Surveillance Program.

PURPOSE: While racial disparities in inflammatory breast cancer (IBC) incidence are fairly well documented, with black women having significantly higher rates compared to white women; less is known about whether IBC prognosis differs by race/ethnicity. Therefore, the objective of this study was to assess racial/ethnic disparities in survival among women diagnosed with IBC in the Michigan Cancer Surveillance Program (MCSP) from 1998 to 2014. METHODS: We examined the frequency and percentage of breast cancer cases coded to the various IBC codes in the MCSP registry over the study period. We used age-adjusted and multivariable Cox Proportional hazard regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations of race/ethnicity with all-cause mortality. RESULTS: Using a comprehensive case definition of IBC, 1324 IBC patients were identified from women diagnosed with invasive breast cancer in the MCSP [Non-Hispanic Black (NHB) = 227; Non-Hispanic White (NHW) = 984; Hispanic = 86; other = 27]. The percentage of all breast cancer cases defined as IBC in the MCSP registry differs considerably across registry codes from 0.02 to 1.1%. We observed significantly higher risk of death among NHB compared with NHW [HR (95% CI), 1.21 (1.01-1.45)], while no significant survival differences were observed between NHW and Hispanics or other racial/ethnic minorities. CONCLUSIONS: A comprehensive case definition should be utilized to avoid underestimation of IBC and to better understand this aggressive disease. Further research is needed to identify underlying causes and develop effective interventions to reduce IBC survival disparities between NHB and NHW women.

Health-related quality of life in current smokers with COPD: factors associated with current smoking and new insights into sex differences.

Findings from studies that examined the association between health-related quality of life (HRQOL) and smoking status among COPD patients have been mixed. Moreover, factors associated with current smoking in COPD patients and differences by sex have not been fully elucidated. Data from the 2011 and 2012 Behavioral Risk Factor Surveillance System was used in this study. Four HRQOL indicators were examined in this study: general health, physical health, mental health, and activity limitations. General health was dichotomized into two groups: "excellent/very good/good" and "fair/poor", and the other three HRQOL indicators were dichotomized into <14 (infrequent) and ≥14 (frequent) unhealthy days in the past 30 days. To examine HRQOL indicators in association with current versus former smoking and identify factors associated with current smoking, logistic regression models were used. Sex differences were explored. In COPD patients, current smokers compared to former smokers had significantly poor HRQOL on all subdomains: "fair/poor" general health (adjusted odds ratio [AOR]: 1.2 [95% confidence interval {CI}: 1.1-1.5]); poor physical health (AOR: 1.3 [CI: 1.1-1.5]); poor mental health (AOR: 1.8 [CI: 1.4-2.2]); and poor activity limitations (AOR: 1.5 [CI: 1.3-1.9]). HRQOL subdomains affected by current smoking differed by sex except activity limitations. General health (AOR: 1.5 [CI: 1.1-2.0]) and activity limitations (AOR: 1.6 [95% CI: 1.2-2.2]) in males and physical health (AOR: 1.3 [CI: 1.0-1.6]), mental health (AOR: 2.1 [CI: 1.7-2.6]), and activity limitations (AOR: 1.5 [CI: 1.2-1.9]) in females were significantly impaired due to current smoking. Factors associated with current smoking differed by sex except being unmarried and having less than a college degree, which were associated with current smoking in both males and females. These findings have important implications for health care providers in designing more effective interventions which tailor to and target specific subgroups for smoking cessation.