RESUMO
BACKGROUND: The role of smoking in racial disparities in mortality and life expectancy in the United States has been examined previously, but up-to-date estimates are generally unavailable, even though smoking prevalence has declined in recent decades. OBJECTIVE: We estimate the contribution of smoking-attributable mortality to observed differences in mortality and life expectancy for US African-American and white adults from 2000-2019. METHODS: The indirect Preston-Glei-Wilmoth method was used with national vital statistics and population data and nationally representative never-smoker lung cancer death rates to estimate the smoking-attributable fraction (SAF) of deaths in the United States by sex-race group from 2000-2019. Mortality rates without smoking-attributable mortality were used to estimate life expectancy at age 50 (e 50) by group during the period. RESULTS: African-American men had the highest estimated SAF during the period, beginning at 26.4% (95% CI:25.0%-27.8%) in 2000 and ending at 12.1% (95% CI:11.4%-12.8%) in 2019. The proportion of the difference in e 50 for white and African-American men that was due to smoking decreased from 27.7% to 14.8%. For African-American and white women, the estimated differences in e 50 without smoking-attributable mortality were similar to observed differences. CONCLUSIONS: Smoking continues to contribute to racial disparities in mortality and life expectancy among men in the United States. CONTRIBUTION: We present updated estimates of the contribution of smoking to mortality differences in the United States using nationally representative data sources.
RESUMO
BACKGROUND: Analysis of cytokines and growth factors in human milk offers a noninvasive approach for studying the microenvironment of the postpartum breast, which may better reflect tissue levels than testing blood samples. Given that Black women have a higher incidence of early-onset breast cancers than White women, we hypothesized that milk of the former contains higher levels of pro-inflammatory cytokines, adipokines, and growth factors. METHODS: Participants included 130 Black and 162 White women without a history of a breast biopsy who completed a health assessment questionnaire and donated milk for research. Concentrations of 15 analytes in milk were examined using two multiplex and 4 single-analyte electrochemiluminescent sandwich assays to measure pro-inflammatory cytokines, angiogenesis factors, and adipokines. Mixed-effects ordinal logistic regression was used to identify determinants of analyte levels and to compare results by race, with adjustment for confounders. Factor analysis was used to examine covariation among analytes. RESULTS: Thirteen of 15 analytes were detected in ≥ 25% of the human milk specimens. In multivariable models, elevated BMI was significantly associated with increased concentrations of 5 cytokines: IL-1ß, bFGF, FASL, EGF, and leptin (all p-trend < 0.05). Black women had significantly higher levels of leptin and IL-1ß, controlling for BMI. Factor analysis of analyte levels identified two factors related to inflammation and growth factor pathways. CONCLUSION: This exploratory study demonstrated the feasibility of measuring pro-inflammatory cytokines, adipokines, and angiogenesis factors in human milk, and revealed higher levels of some pro-inflammatory factors, as well as increased leptin levels, among Black as compared with White women.