Association between Tobacco Industry Interference Index (TIII) and MPOWER measures and adult daily smoking prevalence rate in 30 countries.

BACKGROUND: This study aimed to investigate the impact of tobacco industry interference on the implementation and management of tobacco control and the tobacco epidemic using the Tobacco Industry Interference Index (TIII) and MPOWER-a package of measures for tobacco control-and adult daily smoking prevalence in 30 countries. METHODS: The TIII was extracted from the Global Tobacco Industry Interference Index 2019 and Global Center for Good Governance in Tobacco Control (GGTC). MPOWER measures and adult daily smoking prevalence rate were extracted from the World Health Organization (WHO) report on the global tobacco epidemic in 2021. We assessed the ecological cross-lagged association between TIII and MPOWER scores and between TIII and age-standardized prevalence rates for adult daily tobacco users. RESULTS: Tobacco industry interference was inversely correlated with a country's package of tobacco control measures (ß = -0.088, P = 0.035). The TIII was correlated with weaker warnings about the dangers of tobacco (ß = -0.016, P = 0.078) and lack of enforcement of bans on tobacco advertising promotion and sponsorship (ß = -0.023, P = 0.026). In turn, the higher the TIII, the higher the age-standardized prevalence of adult daily tobacco smokers for both sexes (ß = 0.170, P = 0.036). Adult daily smoking prevalence in males (ß = 0.417, P = 0.004) was higher in countries where the tobacco industry received incentives that benefited its business. CONCLUSION: Where the interference of the tobacco industries was high, national compliance with the Framework Convention on Tobacco Control (FCTC) was lower, and the prevalence of adult daily smokers higher. National governments and global society must work together to minimize the tobacco industry's efforts to interfere with tobacco control policies.

Socioeconomic disparities in mammography screening in the United States from 2012 to 2020.

The potential impact of the COVID-19 pandemic on socioeconomic disparities in mammography uptake remain poorly understood. We used repeated cross-sectional data from the 2012, 2014, 2016, 2018, and 2020 waves of the Behavioral Risk Factor Surveillance System, focusing on the U.S. women aged 50-74 years and investigated the relationships of educational attainment, employment status, and household income with a missed mammogram in the past two years. We ran Poisson regression analyses accounting for survey weights. The sample numbers were 139,761 in 2012, 137,916 in 2014, 140,000 in 2016, 116,756 in 2018, and 102,774 in 2020, respectively. Women with the lower educational attainment and lower household incomes reported higher proportions of missed mammography screening. Self-employed women were most likely to miss a mammogram. Accounting for other covariates, there was an increase in the adjusted prevalence ratio (PR) of missed mammography from 2018 to 2020 (pre-pandemic versus post pandemic onset) for self-employed women compared to women in waged work. Non-Hispanic Black women who were self-employed (PR = 0.28, 95% CI: 0.16, 0.51) and employed for wages (PR = 0.58, 95% CI: 0.47, 0.73) were at lower risks of missing a mammogram compared to non-Hispanic White women in the same categories. The findings suggest that disparities for mammography uptake widened after the pandemic onset, especially for employment status, which varied by race/ethnicity.

Defining interventions and metrics to improve diversity in CNS clinical trial participation: A SNO and RANO effort.

Despite major strides in cancer research and therapy, these advances have not been equitable across race and ethnicity. Historically marginalized groups (HMG) are more likely to have inadequate preventive screening, increased delays in diagnosis, and poor representation in clinical trials. Notably, Black, Hispanic, and Indigenous people represent 30% of the population but only 9% of oncology clinical trial participants. As a result, HMGs lack equitable access to novel therapies, contradicting the principle of distributive justice, as enshrined in the Belmont report, which demands the equitable selection of subjects in research involving human subjects. The lack of clinical trial diversity also leads to low generalizability and potentially harmful medical practices. Specifically, patients with brain cancer face unique barriers to clinical trial enrollment and completion due to disease-specific neurologic and treatment-induced conditions. Collectively, the intersection of these disease-specific conditions with social determinants of health fosters a lack of diversity in clinical trials. To ameliorate this disparity in neuro-oncology clinical trial participation, we present interventions focused on improving engagement of HMGs. Proposals range from inclusive trial design, decreasing barriers to care, expanding trial eligibility, access to tumor profiling for personalized medical trials, setting reasonable metrics and goals for accrual, working with patient community stakeholders, diversifying the neuro-oncology workforce, and development of tools to overcome biases with options to incentivize equity. The diversification of participation amongst neuro-oncology clinical trials is imperative. Equitable access and inclusion of HMG patients with brain tumors will not only enhance research discoveries but will also improve patient care.

Dashboard With Bump Charts to Visualize the Changes in the Rankings of Leading Causes of Death According to Two Lists: National Population-Based Time-Series Cross-Sectional Study.

BACKGROUND: Health advocates and the media often use the rankings of the leading causes of death (CODs) to draw attention to health issues with relatively high mortality burdens in a population. The National Center for Health Statistics (NCHS) publishes "Deaths: leading causes" annually. The ranking list used by the NCHS and statistical offices in several countries includes broad categories such as cancer, heart disease, and accidents. However, the list used by the World Health Organization (WHO) subdivides broad categories (17 for cancer, 8 for heart disease, and 6 for accidents) and classifies Alzheimer disease and related dementias and hypertensive diseases more comprehensively compared to the NCHS list. Regarding the data visualization of the rankings of leading CODs, the bar chart is the most commonly used graph; nevertheless, bar charts may not effectively reveal the changes in the rankings over time. OBJECTIVE: The aim of this study is to use a dashboard with bump charts to visualize the changes in the rankings of the leading CODs in the United States by sex and age from 1999 to 2021, according to 2 lists (NCHS vs WHO). METHODS: Data on the number of deaths in each category from each list for each year were obtained from the Wide-ranging Online Data for Epidemiologic Research system, maintained by the Center for Disease Control and Prevention. Rankings were based on the absolute number of deaths. The dashboard enables users to filter by list (NCHS or WHO) and demographic characteristics (sex and age) and highlight a particular COD. RESULTS: Several CODs that were only on the WHO list, including brain, breast, colon, hematopoietic, lung, pancreas, prostate, and uterus cancer (all classified as cancer on the NCHS list); unintentional transport injury; poisoning; drowning; and falls (all classified as accidents on the NCHS list), were among the 10 leading CODs in several sex and age subgroups. In contrast, several CODs that appeared among the 10 leading CODs according to the NCHS list, such as pneumonia, kidney disease, cirrhosis, and sepsis, were excluded from the 10 leading CODs if the WHO list was used. The rank of Alzheimer disease and related dementias and hypertensive diseases according to the WHO list was higher than their ranks according to the NCHS list. A marked increase in the ranking of unintentional poisoning among men aged 45-64 years was noted from 2008 to 2021. CONCLUSIONS: A dashboard with bump charts can be used to improve the visualization of the changes in the rankings of leading CODs according to the WHO and NCHS lists as well as demographic characteristics; the visualization can help users make informed decisions regarding the most appropriate ranking list for their needs.

Retirement and cardiovascular disease: a longitudinal study in 35 countries.

BACKGROUND: Many countries have been increasing their state pension age (SPA); nonetheless, there is little consensus on whether retirement affects the risk of cardiovascular disease (CVD). This study examined the associations of retirement with CVD and risk factors. METHODS: We used harmonized longitudinal datasets from the Health and Retirement Study and its sister surveys in 35 countries. Data comprised 396 904 observations from 106 927 unique individuals aged 50-70 years, with a mean follow-up period of 6.7 years. Fixed-effects instrumental variable regressions were performed using the SPA as an instrument. RESULTS: We found a 2.2%-point decrease in the risk of heart disease [coefficient = -0.022 (95% confidence interval: -0.031 to -0.012)] and a 3.0%-point decrease in physical inactivity [-0.030 (-0.049 to -0.010)] among retirees, compared with workers. In both sexes, retirement was associated with a decreased heart disease risk, whereas decreased smoking was observed only among women. People with high educational levels showed associations between retirement and decreased risks of stroke, obesity and physical inactivity. People who retired from non-physical labour exhibited reduced risks of heart disease, obesity and physical inactivity, whereas those who retired from physical labour indicated an increased risk of obesity. CONCLUSIONS: Retirement was associated with a reduced risk of heart disease on average. Some associations of retirement with CVD and risk factors appeared heterogeneous by individual characteristics.

Benchmarking Social Isolation, Loneliness, and Smoking: Challenges and Opportunities for Public Health.

Over the past decade, the health implications of social isolation and loneliness garnered global attention due in part to a widely cited meta-analysis that benchmarked associations between cigarette smoking and mortality with associations between several social-relationship measures and mortality. Leaders in health systems, research, government, and popular media have since claimed that the harms of social isolation and loneliness are comparable to that of cigarette smoking. Our commentary examines the basis of this comparison. We suggest that comparisons between social isolation, loneliness, and smoking have been helpful for raising awareness of robust evidence linking social relationships and health. However, the analogy often oversimplifies the evidence and may overemphasize treating social isolation or loneliness at the individual level without sufficient attention on population-level prevention. As communities, governments, and health and social sector practitioners navigate opportunities for change, we believe now is time to focus greater attention on the structures and environments that promote and constrain healthy relationships.

Effects of municipal smoke-free ordinances on secondhand smoke exposure in the Republic of Korea.

Objective: To reduce premature deaths due to secondhand smoke (SHS) exposure among non-smokers, the Republic of Korea (ROK) adopted changes to the National Health Promotion Act, which allowed local governments to enact municipal ordinances to strengthen their authority to designate smoke-free areas and levy penalty fines. In this study, we examined national trends in SHS exposure after the introduction of these municipal ordinances at the city level in 2010. Methods: We used interrupted time series analysis to assess whether the trends of SHS exposure in the workplace and at home, and the primary cigarette smoking rate changed following the policy adjustment in the national legislation in ROK. Population-standardized data for selected variables were retrieved from a nationally representative survey dataset and used to study the policy action's effectiveness. Results: Following the change in the legislation, SHS exposure in the workplace reversed course from an increasing (18% per year) trend prior to the introduction of these smoke-free ordinances to a decreasing (-10% per year) trend after adoption and enforcement of these laws (ß 2 = 0.18, p-value = 0.07; ß 3 = -0.10, p-value = 0.02). SHS exposure at home (ß 2 = 0.10, p-value = 0.09; ß 3 = -0.03, p-value = 0.14) and the primary cigarette smoking rate (ß 2 = 0.03, p-value = 0.10; ß 3 = 0.008, p-value = 0.15) showed no significant changes in the sampled period. Although analyses stratified by sex showed that the allowance of municipal ordinances resulted in reduced SHS exposure in the workplace for both males and females, they did not affect the primary cigarette smoking rate as much, especially among females. Conclusion: Strengthening the role of local governments by giving them the authority to enact and enforce penalties on SHS exposure violation helped ROK to reduce SHS exposure in the workplace. However, smoking behaviors and related activities seemed to shift to less restrictive areas such as on the streets and in apartment hallways, negating some of the effects due to these ordinances. Future studies should investigate how smoke-free policies beyond public places can further reduce the SHS exposure in ROK.

A framework for setting enrollment goals to ensure participant diversity in sponsored clinical trials in the United States.

BACKGROUND: Diversity in clinical trials (CTs) has the potential to improve health equity and close health disparities. Underrepresentation of historically underserved groups compromises the generalizability of trial findings to the target population, hinders innovation, and contributes to low accrual. The aim of this study was to establish a transparent and reproducible process for setting trial diversity enrollment goals informed by the disease epidemiology. METHOD: An advisory board of epidemiologists with expertise in health disparities, equity, diversity, and social determinants of health was convened to evaluate and strengthen the initial goal-setting framework. Data sources used were the epidemiologic literature, US Census, and real-world data (RWD); limitations were considered and addressed where appropriate. A framework was designed to safeguard against the underrepresentation of historically medically underserved groups. A stepwise approach was created with Y/N decisions based on empirical data. RESULTS: We compared race and ethnicity distributions in the RWD of six diseases from Pfizer's portfolio chosen to represent different therapeutic areas (multiple myeloma, fungal infections, Crohn's disease, Gaucher disease, COVID-19, and Lyme disease) to the distributions in the US Census and established trial enrollment goals. Enrollment goals for potential CTs were based on RWD for multiple myeloma, Gaucher disease, and COVID-19; enrollment goals were based on the Census for fungal infections, Crohn's disease, and Lyme disease. CONCLUSIONS: We developed a transparent and reproducible framework for setting CT diversity enrollment goals. We note how limitations due to data sources can be mitigated and consider several ethical decisions in setting equitable enrollment goals.

The Cross-Sectional Association of Sleep Disturbance and Sleep Apnea With Complex Multimorbidity Among Chinese and Korean Americans.

A new concept called complex multimorbidity provides a more reliable measure of disease burden than multimorbidity based on a simple count of diseases, by categorizing diseases according to the body system they affect. This study examined associations between sleep measures and complex multimorbidity among Chinese and Korean Americans in the Baltimore-Washington DC Metropolitan Area, using cross-sectional data (n = 400) from the Screening to Prevent Colorectal Cancer study (2018-2020). Sleep disturbance was measured using the 8-item Patient Reported Outcomes Measurement Information System Sleep Disturbance scale and sleep apnea risk was assessed using the Berlin questionnaire. Complex multimorbidity was defined as the coexistence of 3 or more of body system disorders assessed by self-report of physician-diagnosed diseases. Poisson regression models with adjustments indicated that individuals with sleep disturbance had 2.15 times the prevalence of having complex multimorbidity (95% confidence interval (CI): 1.07, 4.29). Individuals with a high risk of sleep apnea had 1.19 times the prevalence of having complex multimorbidity (95% CI: 0.47, 3.01). These findings suggest a need for interventions to increase awareness of the importance of sleep among health-care providers and the public and to educate them about causes, signs, and treatment of sleep disturbance and sleep apnea.

Adherence to Mediterranean diet among Lithuanian and Croatian students during COVID-19 pandemic and its health behavior correlates.

Maintaining healthy behavior, especially in times of crisis like the COVID-19 pandemic, is particularly important for staying healthy. Nutrition is an everyday behavior and along with other health-related behaviors is associated with many health outcomes. The aim of this study was to assess and compare adherence to the Mediterranean diet (MedDiet) and particular food choices among the Mediterranean and non-Mediterranean populations of university students and identify its lifestyle correlates at the outburst of the COVID-19 pandemic. In total, self-reported data on health-related behavior and sociodemographic characteristics were collected from 1,388 study participants, 66.4% were Lithuanians, and 33.6% were Croatians. Results revealed that vegetables, olive oil, fruits, nuts, legumes, and fish were remarkably underconsumed among university students in the Mediterranean and non-Mediterranean countries during the COVID-19 pandemic, and the composite diet is similar between countries. The higher adherence to MedDiet is associated with physical activity (ß = 0.15) and non-smoking (ß = 0.08). In times of crisis, public health entities should provide knowledge, skills, and tools for healthy nutrition specifying them by age and subpopulation. Interventions at the university should be implemented to build infrastructure and provide an access to health behavior-friendly environments.

Is early-onset cancer an emerging global epidemic? Current evidence and future implications.

Over the past several decades, the incidence of early-onset cancers, often defined as cancers diagnosed in adults <50 years of age, in the breast, colorectum, endometrium, oesophagus, extrahepatic bile duct, gallbladder, head and neck, kidney, liver, bone marrow, pancreas, prostate, stomach and thyroid has increased in multiple countries. Increased use of screening programmes has contributed to this phenomenon to a certain extent, although a genuine increase in the incidence of early-onset forms of several cancer types also seems to have emerged. Evidence suggests an aetiological role of risk factor exposures in early life and young adulthood. Since the mid-20th century, substantial multigenerational changes in the exposome have occurred (including changes in diet, lifestyle, obesity, environment and the microbiome, all of which might interact with genomic and/or genetic susceptibilities). However, the effects of individual exposures remain largely unknown. To study early-life exposures and their implications for multiple cancer types will require prospective cohort studies with dedicated biobanking and data collection technologies. Raising awareness among both the public and health-care professionals will also be critical. In this Review, we describe changes in the incidence of early-onset cancers globally and suggest measures that are likely to reduce the burden of cancers and other chronic non-communicable diseases.

Occupational disparities in tumor grade and cytosolic HMGB1 expression in renal cell cancer.

OBJECTIVES: We sought to examine occupational disparities in tumor grade and cytosolic expression of high-mobility group box-1 (HMGB1) among renal cell cancer (RCC) patients. METHODS: This retrospective study included 318 RCC patients with complete information on occupation and pathology in Kanagawa Cancer Registry (KCR). Longest-held occupations were grouped into manual workers (e.g., manufacturing, construction) versus "others." Odds ratios (OR) and 95% confidence intervals (CI) for high-grade histology were estimated by logistic regression, adjusted for age and sex. We also examined a sub-sample of 74 low-grade RCC inpatients to estimate the OR for positive cytosolic HMGB1 expression in manual workers, adjusting for age, sex, and other available covariates. RESULTS: High-grade tumors were more prevalent in manual workers compared to other occupations: 23.0% (14/61) versus 10.9% (28/257, p = .01) with an adjusted OR of 2.28 (95% CI, 1.11-4.69). In the sub-sample of low-grade RCCs, positive cytosolic HMGB1 expression was more prevalent in manual workers compared to other occupations: 71.4% (10/14) versus 38.3% (23/60, p = .03) with a sex- and age-adjusted OR of 3.76 (95% CI, 1.03-13.7). CONCLUSIONS: Manual workers are associated with increased risks of high-grade renal cell tumors and cytosolic HMGB1 expression.

Changes In Catastrophic Health Expenditures For Major Diseases After A 2013 Health Insurance Expansion In South Korea.

The South Korean National Health Insurance scheme has lacked sufficient coverage scope (services covered) and depth (costs covered) since it achieved national coverage in 1989. The government implemented two separate welfare plans (2004-08 and 2009-12) to improve the financial protection of National Health Insurance by mainly focusing on costs covered. The third plan (initiated in 2013) was the most comprehensive, addressing both scope and depth. We evaluated the impact of this benefit expansion policy for four categories of major disease (cancer, cardiac disease, cerebrovascular disease, and rare diseases) on catastrophic health expenditures, impoverishment, and unmet need. Using 2012-17 Korean Health Panel Survey data, we performed difference-in-differences analyses and triple-difference analyses to examine the differential impact of policy across income groups. The policy reduced catastrophic health expenditures among beneficiary households across almost all postpolicy years. However, there was no average effect on reducing household impoverishment or unmet need. The policy had mixed effects by income but did not generally favor low-income households. To provide stronger financial protection, the policy must address issues beyond expanding coverage, such as provider payment structure. In addition, special policy measures for low-income households need to be adopted.

A systematic review and meta-analysis of the Everyday Discrimination Scale and biomarker outcomes.

Discrimination has consistently been associated with multiple adverse health outcomes. Like other psychosocial stressors, discrimination is thought to impact health through stress-related physiologic pathways including hypothalamic-pituitary-adrenal (HPA) axis activation, dysregulation of inflammation responses, and accelerated cellular aging. Given growing attention to research examining the biological pathways through which discrimination becomes embodied, this systematic review and meta-analysis synthesizes empirical evidence examining relationships between self-reported discrimination and four biomarker outcomes (i.e., cortisol, C-reactive protein (CRP), interleukin-6 (IL-6), and telomere length) among studies that have used the Everyday Discrimination Scale. We conducted a systematic review of studies discussing self-reported, everyday, or chronic discrimination in the context of health by searching Medline / PubMed (National Library of Medicine, NCBI), PsycInfo (APA, Ebsco) and Web of Science Core Collection (Clarivate). Twenty-five articles met the criteria for meta-analysis, with several reporting on multiple outcomes. Discrimination was associated with elevated CRP levels (r = 0.11; 95% CI: 0.01, 0.20, k = 10), though not cortisol (r = 0.05; 95% CI: -0.06, 0.16, k = 9), IL-6 (r = 0.05; 95% CI: -0.32, 0.42, k = 5), or telomere length (r = 0.03; 95% CI: -0.01, 0.07, k = 6). We identify several points of consideration for future research including addressing heterogeneity in assessment of biomarker outcomes and the need for longitudinal assessments of relationships between discrimination and biomarker outcomes.

Did expansion of insurance coverage for major diseases in Korea induce a positive spillover effect on dental service utilization?

Although people with serious major diseases are disproportionately likely to have poor oral health, they are also more likely to defer treatment for oral health conditions due to financial constraints. The South Korean government introduced a comprehensive benefit expansion policy covering four major disease categories in 2013: cancer, cardiac diseases, cerebrovascular diseases, and rare diseases. Meanwhile, a policy expanding benefits for dental prosthetic services for the elderly was also introduced during the same period. Using nationally representative Korean Health Panel data from 2012 to 2017, we performed a difference-in-difference (DID) analysis to examine the positive spillover effect of insurance expansion for the four major disease categories on encouraging dental service utilization (frequency of dental visits and dental out-of-pocket payments) or decreasing unmet dental needs. Additionally, a triple-difference (TD) analysis was performed to examine whether the effect of coverage expansion of dental prosthetic services on dental service utilization was larger among the beneficiaries of the expansion for the four major disease categories. Benefit expansion for the four major disease categories did not significantly affect dental service utilization among the beneficiaries (DID model) during all study years and slightly increased unmet dental needs in 2014 and 2015. However, the effect of expanded coverage for dental prosthetic services on encouraging dental service utilization was larger (TD model) among the beneficiaries of the policy for the four major disease categories than among non-beneficiaries when we defined the beneficiaries as individuals with two or more household members who had one of the four major diseases. Our results suggest a need to provide more intense coverage for those with comorbidities by embracing the concept of proportionate universalism in the coverage of dental services.

Effectiveness of Digital Interventions for Preventing Alcohol Consumption in Pregnancy: Systematic Review and Meta-analysis.

BACKGROUND: Alcohol consumption in pregnancy has been associated with serious fetal health risks and maternal complications. While previous systematic reviews of digital interventions during pregnancy have targeted smoking cessation and flu vaccine uptake, few studies have sought to evaluate their effectiveness in preventing alcohol consumption during pregnancy. OBJECTIVE: This systematic review aims to assess (1) whether digital interventions are effective in preventing alcohol consumption during the pregnancy/pregnancy-planning period, and (2) the differential effectiveness of alternative digital intervention platforms (ie, computers, mobiles, and text messaging services). METHODS: PubMed, Embase, CINAHL, and Web of Science were searched for studies with digital interventions aiming to prevent alcohol consumption among pregnant women or women planning to become pregnant. A random effects primary meta-analysis was conducted to estimate the combined effect size and extent to which different digital platforms were successful in preventing alcohol consumption in pregnancy. RESULTS: Six studies were identified and included in the final review. The primary meta-analysis produced a sample-weighted odds ratio (OR) of 0.62 (95% CI 0.42-0.91; P=.02) in favor of digital interventions decreasing the risk of alcohol consumption during pregnancy when compared to controls. Computer/internet-based interventions (OR 0.59, 95% CI 0.38-0.93) were an effective platform for preventing alcohol consumption. Too few studies of text messaging (OR 0.29, 95% CI 0.29-2.52) were available to draw a conclusion. CONCLUSIONS: Overall, our review highlights the potential for digital interventions to prevent alcohol consumption among pregnant women and women planning to become pregnant. Considering the advantages of digital interventions in promoting healthy behavioral changes, future research is necessary to understand how certain platforms may increase user engagement and intervention effectiveness to prevent women from consuming alcohol during their pregnancies.

Occupational disparities in survival from common cancers in Japan: Analysis of Kanagawa cancer registry.

BACKGROUND: Little is known about occupational disparities in survival for common cancer sites in Japan. METHODS: Using data from a population-based cancer registry, we identified 32,870 cancer patients diagnosed during 1992-2011. We followed the patients for 5 years (median follow-up time 5.0 years). For each individual, we classified their longest-held occupation into 5 classes (upper non-manual, lower non-manual, manual, farmer, and others) following the Erikson-Goldthorpe-Portocarero scheme. Poisson regression models were used to estimate overall and site-specific mortality rate ratios (MRRs) and 95% confidence intervals (CI) for each occupational class, adjusted for sex, age, and diagnosis year. Upper non-manual workers served as the reference group. Additionally, using a binary categorization of occupations (manual workers versus non-manual workers), a causal mediation analysis with 4-way decomposition was performed to investigate the potential mediation of the association between occupation and overall mortality by cancer stage. RESULTS: Overall prognosis was good in this population (5-year overall survival was 81.7%). Compared with upper non-manual workers, both overall and cancer-specific mortality was higher in lower non-manual workers (MRR=1.14, 95% CI 1.05-1.24) and manual workers (MRR=1.40, 95% CI 1.29-1.53). After adjusting for the mediating influence of prognostic factors (stage and treatment), the observed occupational differences were attenuated but remained significant in manual workers: MRR = 1.23 (95% CI 1.08-1.39). Observed occupational disparities tended to be attributable to common cancers, i.e., stomach and lung among men and female breast cancer. Additionally, manual workers had 1.25 times higher odds for advanced stage. In the mediation analysis, the overall proportion explained by mediating effect of cancer stage was 29% (4% due to mediated interaction and 25% due to pure indirect effect). CONCLUSION: We documented occupational disparities in survival from commonly-occurring cancers in Japan. Occupational differences in cancer stage may explain one-third of the survival disparities.

Advancing the Social Epidemiology Mission of the American Journal of Epidemiology.

Social epidemiology is concerned with how social forces influence population health. Rather than focusing on a single disease (as in cancer or cardiovascular epidemiology) or a single type of exposure (e.g., nutritional epidemiology), social epidemiology encompasses all the social and economic determinants of health, both historical and contemporary. These include features of social and physical environments, the network of relationships in a society, and the institutions, politics, policies, norms and cultures that shape all of these forces. This commentary presents the perspective of several editors at the Journal with expertise in social epidemiology. We articulate our thinking to encourage submissions to the Journal that: 1) expand knowledge of emerging and underresearched social determinants of population health; 2) advance new empirical evidence on the determinants of health inequities and solutions to advance health equity; 3) generate evidence to inform the translation of research on social determinants of health into public health impact; 4) contribute to innovation in methods to improve the rigor and relevance of social epidemiology; and 5) encourage critical self-reflection on the direction, challenges, successes, and failures of the field.

Depression, smoking, and lung cancer risk over 24 years among women.

BACKGROUND: Studies evaluating depression's role in lung cancer risk revealed contradictory findings, partly because of the small number of cases, short follow-up periods, and failure to account for key covariates including smoking exposure. We investigated the association of depressive symptoms with lung cancer risk in a large prospective cohort over 24 years while considering the role of smoking. METHODS: Women from the Nurses' Health Study completed measures of depressive symptoms, sociodemographics, and other factors including smoking in 1992 (N = 42 913). Depressive symptoms were also queried in 1996 and 2000, whereas regular antidepressant use and physician-diagnosed depression were collected starting in 1996. Multivariable Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of lung cancer risk until 2016. RESULTS: We identified 1009 cases of lung cancer. Women with the highest v. lowest level of depressive symptoms had an increased lung cancer risk (HRsociodemographics-adjusted = 1.62, 95% CI 1.34-1.95; HRfully-adjusted = 1.25, 95% CI 1.04-1.51). In a test of mediation, lifetime pack-years of smoking accounted for 38% of the overall association between depressive symptoms and disease risk. When stratifying by smoking status, the elevated risk was evident among former smokers but not current or never smokers; however, the interaction term suggested no meaningful differences across groups (p = 0.29). Results were similar or stronger when considering time-updated depression status (using depressive symptoms, physician diagnosis, and regular antidepressant use) and chronicity of depressive symptoms. CONCLUSIONS: These findings suggest that greater depressive symptoms may contribute to lung cancer incidence, directly and indirectly via smoking habits, which accounted for over a third of the association.