Potential causal links and mediation pathway between urban greenness and lung cancer mortality: Result from a large cohort (2009 to 2020).

Urban greenness, as a vital component of the urban environment, plays a critical role in mitigating the adverse effects of rapid urbanization and supporting urban sustainability. However, the causal links between urban greenness and lung cancer mortality and its potential causal pathway remain poorly understood. Based on a prospective community-based cohort with 581,785 adult participants in southern China, we applied a doubly robust Cox proportional hazard model to estimate the causal associations between urban greenness exposure and lung cancer mortality. A general multiple mediation analysis method was utilized to further assess the potential mediating roles of various factors including particulate matter (PM1, PM2.5-1, and PM10-2.5), temperature, physical activity, and body mass index (BMI). We observed that each interquartile range (IQR: 0.06) increment in greenness exposure was inversely associated with lung cancer mortality, with a hazard ratio (HR) of 0.89 (95 % CI: 0.83, 0.96). The relationship between greenness and lung cancer mortality might be partially mediated by particulate matter, temperature, and physical activity, yielding a total indirect effect of 0.826 (95 % CI: 0.769, 0.887) for each IQR increase in greenness exposure. Notably, the protective effect of greenness against lung cancer mortality could be achieved primarily by reducing the particulate matter concentration.

Effect of cumulative radiation exposure from Coronary catheterization on lung cancer mortality.

BACKGROUND: Coronary catheterization (CC) procedure inevitably exposes patients with cardiovascular disease (CVD) to radiation, while cumulative radiation exposure may lead to higher risk of cancer. METHODS: This multi-center, retrospective study was based on the CC procedure in Cardiorenal ImprovemeNt II cohort (CIN-II, NCT05050877) among five regional central tertiary teaching hospitals in China between 2007 and 2020. Patients without known cancer were stratified according to the times they received CC procedure. Baseline information from their last CC procedure was analyzed. Cox regression and Fine-Gray competing risk models were used to assess the relationship between cumulative radiation exposure from CC procedures and cancer-specific, all-cause and cardiovascular mortality. RESULTS: Of 136,495 hospitalized survivors without cancer at baseline (mean age: 62.3 ± 11.1 years, 30.9% female), 116,992 patients (85.7%) underwent CC procedure once, 15,184 patients (11.1%) on twice, and 4,319 patients (3.2%) underwent CC procedure more than three times. During the median follow-up of 4.7 years (IQR: 2.5 to 7.4), totally 18,656 patients (13.7%) died after discharge, of which 617 (0.5%) died of lung cancer. Compared with the patients who underwent CC procedure once, the risk of lung cancer mortality increased significantly with the increase of the number of CC procedure (CC 2 times vs. 1 time: HR 1.42, 95% CI 1.13 to 1.78, P < 0.001; CC ≥ 3 times vs. 1 time: HR 1.64, 95%CI 1.13 to 2.39, P < 0.05). Similar results were observed in all-cause mortality and cardiovascular mortality, but not in other cancer-specific mortality. CONCLUSIONS: Our data suggest that substantial proportion of CVD patients are exposed to multiple high levels of low-dose ionizing radiation from CC procedure, which is associated with an increased risk of cancer mortality in this population. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05050877; URL: http://www. CLINICALTRIALS: gov ; 21/09/2021.

Racial, ethnic and gender trends in lung cancer mortality rates in the United States-Mexico border and non-border areas.

BACKGROUND: Geographic patterns of lung cancer mortality rate differ in the region bordering Mexico in contrast to the US. This study compares lung cancer mortality between border and non-border counties by race/ethnicity and gender. METHODS: This study utilized population-level death certificate data from US Centers for Disease Control and Prevention Public Internet Wide-Ranging Online Data for Epidemiologic Research dataset between 1999 and 2020. Established algorithms were implemented to examine lung cancer deaths among US residents. We analyzed the age-adjusted data by year, race/ethnicity, gender, and geographic region. Joinpoint regression was used to determine mortality trends across time. RESULTS: Lung cancer mortality rates were lower in border counties compared to non-border counties across time (p < 0.05). Hispanic lung cancer mortality rates were not different in border counties compared to non-border counties during the same period (p > 0.05). Lung cancer mortality among non-Hispanic White living in border counties was lower than non-Hispanic White residing in non-border counties (p < 0.01), and non-Hispanic Black living in border counties had lower lung cancer mortality than non-Hispanic Black in non-border counties in all but three years (p < 0.05). Both female and male mortality rates were lower in border counties compared to non-border counties (p < 0.05). CONCLUSION: Differences in lung cancer mortality between border counties and non-border counties reflect lower mortality in Hispanics overall and a decline for non-Hispanic White and non-Hispanic Black living in border counties experiencing lower lung cancer mortality rates than non-border counties. Further studies are needed to identify specific causes for lower mortality rates in border counties.

Short-term association of air pollution with lung cancer mortality in Osaka, Japan.

Long-term air pollution exposure has been linked to increased lung cancer mortality. However, little is known about whether day-to-day fluctuations in air pollution levels are in relation to lung cancer mortality, particularly in low-exposure settings. This study aimed to evaluate the short-term associations between air pollution and lung cancer mortality. Daily data on lung cancer mortality, fine particulate matter (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and weather conditions were collected from Osaka Prefecture, Japan, from 2010 to 2014. Generalized linear models were combined with quasi-Poisson regression were applied to evaluate the associations between each air pollutant and lung cancer mortality after adjusting for potential confounders. Mean (standard deviation) concentrations of PM2.5, NO2, SO2, and CO were 16.7 (8.6) µg/m3, 36.8 (14.2) µg/m3, 11.1 (4.0) µg/m3, and 0.51 (0.16) mg/m3, respectively. Interquartile range increases in concentrations of PM2.5, NO2, SO2, and CO (2-d moving average) were associated with 2.65% (95% confidence intervals [CIs]: 0.96%-4.37%), 4.28% (95% CIs: 2.24%-6.36%), 3.35% (95% CIs: 1.03%-5.73%), and 4.60% (95% CIs: 2.19%-7.05%) increased risk of lung cancer mortality, respectively. Stratified analyses showed that the associations were strongest in the older population and men. Exposure‒response curves showed a continuously increasing mortality risk from lung cancer with elevation of air pollution levels, without discernible thresholds. In summary, we found evidence of increased lung cancer mortality in relation to short-term elevations in ambient air pollution. These findings may merit further research to better understand this issue.

Lung Cancer Mortality Racial/Ethnic Disparities in Patient Experiences with Care: a SEER-CAHPS Study.

BACKGROUND: To determine whether there are racial/ethnic disparities in patient experiences with care among lung cancer survivors, whether they are associated with mortality. METHODS: A retrospective cohort study of lung cancer survivors > 65 years old who completed a CAHPS survey > 6 months after the date of diagnosis. We used data from the SEER-Consumer Assessment of Healthcare Providers Systems (SEER-CAHPS®) database from 2000 to 2013 to assess racial/ethnic differences in patient experiences with care multivariable Cox proportional hazards models to assess the association between patient experience with care scores mortality in each racial/ethnic group. RESULTS: Within our cohort of 2603 lung cancer patients, Hispanic patients reported lower adjusted mean score with their ability to get needed care compared to white patients (B: - 5.21, 95% CI: - 9.03, - 1.39). Asian patients reported lower adjusted mean scores with their ability to get care quickly (- 4.25 (- 8.19, - 0.31)), get needed care (- 7.06 (- 10.51, - 3.61)), get needed drugs (- 9.06 (- 13.04, - 5.08)). For Hispanic patients, a 1-unit score increase in their ability to get all needed care (HR: 1.02, 1.00-1.03) care coordination (1.06, 1.02-1.09) was associated with higher risk of mortality. Among black patients, a 1-unit score increase in their ability to get needed care (HR: 0.99, 95% CI 0.98-0.99) care coordination (0.97, 0.94-0.99) was associated with lower risk mortality. CONCLUSIONS: There are racial/ethnic disparities in lung cancer patient experiences with care that may impact mortality. Patient experiences with care are important risk factors of mortality for certain racial/ethnic groups.

Underlying reasons for post-mortem diagnosed lung cancer cases - A robust retrospective comparative study from Hungary (HULC study).

Objective: The Hungarian Undiagnosed Lung Cancer (HULC) study aimed to explore the potential reasons for missed LC (lung cancer) diagnosis by comparing healthcare and socio-economic data among patients with post-mortem diagnosed LC with those who were diagnosed with LC during their lives. Methods: This nationwide, retrospective study used the databases of the Hungarian Central Statistical Office (HCSO) and National Health Insurance Fund (NHIF) to identify patients who died between January 1, 2019 and December 31, 2019 and were diagnosed with lung cancer post-mortem (population A) or during their lifetime (population B). Patient characteristics, socio-economic factors, and healthcare resource utilization (HCRU) data were compared between the diagnosed and undiagnosed patient population. Results: During the study period, 8,435 patients were identified from the HCSO database with LC as the cause of death, of whom 1,203 (14.24%) had no LC-related ICD (International Classification of Diseases) code records in the NHIF database during their lives (post-mortem diagnosed LC population). Post-mortem diagnosed LC patients were significantly older than patients diagnosed while still alive (mean age 71.20 vs. 68.69 years, p<0.001), with a more pronounced age difference among female patients (difference: 4.57 years, p<0.001), and had significantly fewer GP (General Practitioner) and specialist visits, X-ray and CT scans within 7 to 24 months and 6 months before death, although the differences in GP and specialist visits within 7-24 months did not seem clinically relevant. Patients diagnosed with LC while still alive were more likely to be married (47.62% vs. 33.49%), had higher educational attainment, and had more children, than patients diagnosed with LC post-mortem. Conclusions: Post-mortem diagnosed lung cancer accounts for 14.24% of total lung cancer mortality in Hungary. This study provides valuable insights into patient characteristics, socio-economic factors, and HCRU data potentially associated with a high risk of lung cancer misdiagnosis.

Determining Association between Lung Cancer Mortality Worldwide and Risk Factors Using Fuzzy Inference Modeling and Random Forest Modeling.

Lung cancer remains the leading cause for cancer mortality worldwide. While it is well-known that smoking is an avoidable high-risk factor for lung cancer, it is necessary to identify the extent to which other modified risk factors might further affect the cell's genetic predisposition for lung cancer susceptibility, and the spreading of carcinogens in various geographical zones. This study aims to examine the association between lung cancer mortality (LCM) and major risk factors. We used Fuzzy Inference Modeling (FIM) and Random Forest Modeling (RFM) approaches to analyze LCM and its possible links to 30 risk factors in 100 countries over the period from 2006 to 2016. Analysis results suggest that in addition to smoking, low physical activity, child wasting, low birth weight due to short gestation, iron deficiency, diet low in nuts and seeds, vitamin A deficiency, low bone mineral density, air pollution, and a diet high in sodium are potential risk factors associated with LCM. This study demonstrates the usefulness of two approaches for multi-factor analysis of determining risk factors associated with cancer mortality.

The lag effect of 24-year tobacco consumption on lung cancer mortality in Henan Province, China, 1992 to 2016.

Tobacco exposure is the major risk factor for lung cancer. Previous studies have shown that there is a correlation between tobacco consumption and lung cancer mortality, but they do not show a specific trend. This study established the polynomial distributed lags (PDLs) model to explore the distributional lag effect between tobacco consumption and lung cancer mortality by using the lung cancer mortality rate of residents in Henan Province and the annual per capita tobacco consumption data from 1992 to 2016 and adopted dynamic simulation prediction method to predict lung cancer mortality for the next 20 years. We found that per capita tobacco consumption had a 10-year lag effect on lung cancer mortality. The harm of tobacco consumption did not show in the first 4 years, but after a lag of 4 years or more, the lung cancer mortality in men was higher than that in women, with a peak effect occurring 10 years later. The prediction showed that if per capita tobacco consumption was controlled, lung cancer mortality would show a steady decline trend after 10 years. These results suggested that tobacco consumption and lung cancer mortality were asynchronous, with a lag effect of tobacco use on the occurrence of lung cancer.

Lung cancer mortality reduction by LDCT screening: UKLS randomised trial results and international meta-analysis.

BACKGROUND: The NLST reported a significant 20% reduction in lung cancer mortality with three annual low-dose CT (LDCT) screens and the Dutch-Belgian NELSON trial indicates a similar reduction. We present the results of the UKLS trial. METHODS: From October 2011 to February 2013, we randomly allocated 4 055 participants to either a single invitation to screening with LDCT or to no screening (usual care). Eligible participants (aged 50-75) had a risk score (LLPv2) ≥ 4.5% of developing lung cancer over five years. Data were collected on lung cancer cases to 31 December 2019 and deaths to 29 February 2020 through linkage to national registries. The primary outcome was mortality due to lung cancer. We included our results in a random-effects meta-analysis to provide a synthesis of the latest randomised trial evidence. FINDINGS: 1 987 participants in the intervention and 1 981 in the usual care arms were followed for a median of 7.3 years (IQR 7.1-7.6), 86 cancers were diagnosed in the LDCT arm and 75 in the control arm. 30 lung cancer deaths were reported in the screening arm, 46 in the control arm, (relative rate 0.65 [95% CI 0.41-1.02]; p=0.062). The meta-analysis indicated a significant reduction in lung cancer mortality with a pooled overall relative rate of 0.84 (95% CI 0.76-0.92) from nine eligible trials. INTERPRETATION: The UKLS trial of single LDCT indicates a reduction of lung cancer death of similar magnitude to the NELSON and NLST trials and was included in a meta-analysis of nine randomised trials which provides unequivocal support for lung cancer screening in identified risk groups. FUNDING: NIHR Health Technology Assessment programme; NIHR Policy Research programme; Roy Castle Lung Cancer Foundation.

Blood lead levels and lung cancer mortality: An updated analysis of NHANES II and III.

Previous analyses within the National Health and Nutrition Examination Survey (NHANES) II and III cycles suggested an association between blood lead levels (BLLs) and lung cancer mortality, although the evidence was limited by small case numbers. To clarify this relationship, we conducted updated analyses of 4,182 and 15,629 participants in NHANES II and III, respectively, (extending follow-up 20 and 8 years) aged ≥20 with BLL measurements and mortality follow-up through 2014. We fit multivariable Cox models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) relating BLLs and lung cancer with adjustment for smoking and other factors. We did not observe an overall association between BLLs and lung cancer after adjustment for smoking (both surveys) and serum cotinine and environmental tobacco smoke exposure (NHANES III), although suggestive associations were observed among women (NHANES II: HR 2.7, 95% CI 0.7, 10.0 for ≥20.0 µg/dl vs. <10.0 µg/dl, Ptrend = 0.07; NHANES III: HR 11.2, 95% CI 2.1, 59.4 for ≥10.0 µg/dl vs. <2.5 µg/dl, Ptrend = 0.04). After stratifying on smoking status, an association with elevated BLLs was observed in NHANES II only among former smokers (HR 3.2, 95% CI 1.3, 8.0 for ≥15 vs. <15 µg/dl) and in NHANES III only among current smokers (HR 1.7, 95% CI 1.1, 2.8 for ≥5 vs. <5 µg/dl). In summary, we found elevated BLLs to be associated with lung cancer mortality among women in both NHANES II and III. Given the absence of an association among non-smokers, we cannot rule out residual confounding as an explanation for our findings.

An investigation into the impact of variations of ambient air pollution and meteorological factors on lung cancer mortality in Yangtze River Delta.

Lung cancer (LC) mortality, as one of the top cancer deaths in China, has been associated with increased levels of exposure to ambient air pollutants. In this study, different lag times on weekly basis were applied to study the association of air pollutants (PM2.5, PM10, and NO2) and LC mortality in Ningbo, and in subpopulations at different age groups and genders. Furthermore, seasonal variations of pollutant concentrations and meteorological variables (temperature, relative humidity, and wind speed) were analysed. A generalised additive model (GAM) using Poisson regression was employed to estimate the effect of single pollutant model on LC mortality in Yangtze River Delta using Ningbo as a case study. It was reported that there were statistically significant relationships between lung cancer mortality and air pollutants. Increases of 6.2% (95% confidence interval [CI]: 0.2% to 12.6%) and 4.3% (95% CI: 0.1% to 8.5%) weekly total LC mortality with a 3-week lag time were linked to each 10 µg/m3 increase of weekly average PM2.5 and PM10 respectively. The association of air pollutants (PM2.5, PM10 and NO2) and LC mortality with a 3-week lag time was also found statistically significant during periods of low temperature (T < 18 °C), low relative humidity (H < 73.7%) and low wind speed (u < 2.8 m/s), respectively. The female population was found to be more susceptible to the exposure to air pollution than the male population. In addition, the population with an age of 50 years or above was shown to be more sensitive to ambient air pollutant. These outcomes indicated that increased risk of lung cancer mortality was evidently linked to exposure to ambient air pollutant on a weekly basis. The impact of weekly variation on the LC mortality and air pollutant levels should be considered in air pollution-related health burden analysis.

Indoor radon exposure and excess of lung cancer mortality: the case of Mexico-an ecological study.

Radon is a radioactive gas that can migrate from soils and rocks and accumulate in indoor areas such as dwellings and buildings. Many studies have shown a strong association between the exposure to radon, and its decay products, and lung cancer (LC), particularly in miners. In Mexico, according to published surveys, there is evidence of radon exposure in large groups of the population, nevertheless, only few attention has been paid to its association as a risk factor for LC. The aim of this ecological study is to evaluate the excess risk of lung cancer mortality in Mexico due to indoor radon exposure. Mean radon levels per state of the Country were obtained from different publications and lung cancer mortality was obtained from the National Institute of Statistics, Geography and Informatics for the period 2001-2013. A model proposed by the International Commission on Radiological Protection to estimate the annual excess risk of LC mortality (per 105 inhabitants) per dose unit of radon was used. The average indoor radon concentrations found rank from 51 to 1863 Bq m-3, the higher average dose exposure found was 3.13 mSv year-1 in the north of the country (Chihuahua) and the mortality excess of LC cases found in the country was 10 ± 1.5 (range 1-235 deaths) per 105 inhabitants. The highest values were found mainly in the Northern part of the country, where numerous uranium deposits are found, followed by Mexico City, the most crowded and most air polluted area in the country. A positive correlation (r = 0.98 p < 0.0001) was found between the excess of LC cases and the dose of radon exposure. Although the excess risk of LC mortality associated with indoor radon found in this study was relatively low, further studies are needed in order to accurately establish its magnitude in the country.

Using Low-Dose Computed Tomography for Early Detection of Lung Cancer.

PURPOSE: To determine whether low-dose computed tomography (LD-CT) affects the rate of early lung cancer detection in a high-risk population, how that rate compares with the rate given in the National Lung Screening Trial (NLST), whether using LD-CT provides a stage shift in lung cancer, and whether NLST results are reproducible. METHODS: Patient medical records from a Kentucky community hospital were retrospectively reviewed. Patients who were included had received LD-CT scans from January 2015 through December 2017, were aged 55 years to 79 years, had smoked for at least 30 pack-years or quit smoking in the past 15 years and were able to lie on their backs with their arms over their heads. Patients with any previous cancer were excluded. Retrospective chart review employed to collect data, and summarized quantitative data were used as measures of central tendency (ie, mean and mode). RESULTS: The study included 2924 patients, with 1483 men (50.7%) and 1441 women (49.3%). Sixty-six patients (42 men, 24 women) had lung cancer, all of whom smoked a maximum of 3.5 packs of cigarettes a day. Of the 66 patients, 7 patients (10.6%) died during the 3-year study timeframe. The study found an average of 2 cancer diagnoses per 100 LD-CT scans, whereas the NLST noted 1 diagnosis for every 320 scans. Mortality rate was associated with lung cancer in this high-risk population, calculated at 239 per 100 000 patients. DISCUSSION: Compared with NLST findings, this current study found that lung cancer is diagnosed in Kentucky residents at a higher rate, and that this group is at greater risk for developing smoking-related lung cancer. In addition, LD-CT is useful in early lung cancer detection for asymptomatic, high-risk populations and can improve quality of life, prolong life, and reduce overall health care costs. CONCLUSION: Lung cancer is a public health care problem in the United States and specifically in Kentucky. This situation might improve if legislation prioritizes educating the medical community about the tools available for early detection of lung cancer, including LD-CT.

Implementation of lung cancer screening in Europe: challenges and potential solutions: summary of a multidisciplinary roundtable discussion.

Recent randomised trials on screening with low-dose CT have shown important reductions in lung cancer (LC) mortality and have triggered international efforts to implement LC screening. Detection rates of stage I LC with volume CT approaching 70% have been demonstrated. In April 2019 'ESMO Open - Cancer Horizons' convened a roundtable discussion on the challenges and potential solutions regarding the implementation of LC screening in Europe. The expert panel reviewed the current evidence for LC screening with low-dose CT and discussed the next steps, which are covered in this article. The panel concluded that national health policy groups in Europe should start to implement CT screening as adequate evidence is available. It was recognised that there are opportunities to improve the screening process through 'Implementation Research Programmes'.

Non-lung cancer specific mortality after lobectomy or sublobectomy in patients with stage IA non-small cell lung cancer ≤2 cm: A propensity score analysis.

BACKGROUND AND OBJECTIVES: To investigate non-lung cancer specific mortality between stage IA non-small cell lung cancer (NSCLC) tumors less than and equal to 2 cm treated with lobectomy and sublobectomy. METHODS: Surveillance, epidemiology, and end results database was queried for patients who underwent lobectomy and sublobectomy. Propensity score matching (PSM) was used to achieve balance in clinicopathological characteristics. We used Fine-and-Gray hazard functions to analyze cause-specific mortality and risk factors. Standardized mortality ratios were calculated to describe cause specific mortality relative to the general population. RESULTS: After PSM, 3,844 patients underwent lobectomy and 1,922 patients underwent sublobectomy. Three leading causes of non-lung cancer mortality were cardiovascular disease (CVD), chronic obstructive pulmonary diseases (COPD), and other cancers. The 5-year cumulative non-lung cancer mortality of lobectomy and sublobectomy groups were 11.4% and 14.0%, respectively (P = .090). Multivariate analyses revealed that age, sex, histology, tumor size, and marital status (P < .01) were independent predictors of non-lung cancer specific mortality. In both groups, risks of CVD specific mortality were comparable to that in the general population, whereas the risk of COPD specific mortality was higher relative to the general population. CONCLUSIONS: As a significant competing event, non-lung cancer specific mortality is comparable between stage IA NSCLC tumors less than equal to 2 cm treated with lobectomy and sublobectomy.

Short-term association between ambient air pollution and lung cancer mortality.

RATIONALE: Long-term exposure to air pollution has been associated with increased lung cancer incidence and mortality. However, the short-term association between air pollution and lung cancer mortality (LCM) remains largely unknown. METHODS: We collected daily data on particulate matter with diameter <2.5 µm (PM2.5), particulate matter with diameter < 10 µm (PM10), sulfur dioxide (SO2), and ozone (O3), and LCM in three of the biggest cities in China, i.e. Beijing, Chongqing, and Guangzhou, from 2013 to 2015. We first estimated city-specific relationships between air pollutants and LCM using time-series generalized linear models, adjusting for potential confounders. A classification and regression tree (CART) model was used to stratify LCM risk based on combinations of air pollutants and meteorological factors in each city. Then we pooled the city-specific associations using random-effects meta-analysis. Meta regression was used to explore if city-specific characteristics modified the air pollution-LCM association. Finally, we stratified the analyses by season, age, and sex. RESULTS: Over the entire period, the current-day concentrations of PM2.5 and PM10 in Chongqing and PM2.5, PM10, and SO2 in Guangzhou were positively associated with LCM (Excess risk ranged from 0.72% (95% CI 0.27%-1.17%) to 6.06% (95% CI 0.76%-11.64%) with each 10 µg/m3 increment in different pollutants), but the association between current-day air pollution and LCM in Beijing was not significant (P > 0.05). When considering the environmental and weather factors simultaneously, current-day PM2.5, relative humidity, and PM10 were the most important factors associated with LCM in Beijing, Chongqing, and Guangzhou, respectively. LCM risk related with daily PM2.5, PM10, and SO2 significantly increased with the increasing annual mean temperature and humidity of the city, while LCM risk related with daily O3 significantly increased with the increases of latitude, annual mean O3 concentration, and socioeconomic level. After stratification, the current-day PM2.5, PM10, and O3 during the warm season in Beijing and PM2.5, PM10, and SO2 during the cool season in Chongqing and Guangzhou were positively associated with LCM (Excess risk ranged from 0.93% (95% CI 0.42%-1.45%) to 7.16% (95% CI 0.64%-14.09%) with each 10 µg/m3 increment in different pollutants). Male and the elderly lung cancer patients were more sensitive to the short-term effect of air pollution. CONCLUSIONS: Lung cancer patients should enhance protection measures against air pollution. More attentions should be paid for the high PM2.5, PM10, and O3 during the warm season in Beijing, and high PM2.5, PM10, and SO2 during the cool season in Chongqing and Guangzhou.

Lung Cancer Mortality in China: Spatial and Temporal Trends Among Subpopulations.

BACKGROUND: This study aimed to identify changing spatial and temporal trends of lung cancer mortality rates (LCMRs) among subpopulations in China (according to region, age, and sex). METHODS: Data on LCMRs from 2006 to 2015 were extracted from the Chinese National Death Surveillance. Joinpoint regression and seasonal decomposition were used to assess the temporal trends. A geographic information system and spatial kriging interpolation were used to examine the spatial trends. RESULTS: LCMRs in men aged 30 to 49 years significantly declined nationally from 2009 to 2015 (annual percentage change, -2.7%; P < .05), but they continued to rise in men aged ≥ 70 years and women aged ≥ 50 years in the east, people aged 50 to 69 years in the south, and most groups in the southwest. Among provincial capital cities, Shenyang, Changsha, and Hohhot had the highest 10-year average LCMR for men aged 30 to 49 years, 50 to 69 years, and ≥ 70 years, respectively; among all ages of women, Harbin had the highest average LCMR. Over the 10 years, the odds of the increases in LCMRs in men and women aged 30 to 69 years decreased by 3% to 7% with the longitudes or latitudes increasing by 1° (ORs ranged from 0.93 [95% CI, 0.90-0.95) to 0.97 [95% CI, 0.95-0.99]). CONCLUSIONS: Disparities in the spatial and temporal trends of LCMRs among subpopulations highlight the need for investigation into potential drivers, especially for the east, south, and southwest of China. These findings may help health authorities target interventions to those most in need to reduce the lung cancer burden in China.

Exposure-lag-response associations between lung cancer mortality and radon exposure in German uranium miners.

Exposure-lag-response associations shed light on the duration of pathogenesis for radiation-induced diseases. To investigate such relations for lung cancer mortality in the German uranium miners of the Wismut company, we apply distributed lag non-linear models (DLNMs) which offer a flexible description of the lagged risk response to protracted radon exposure. Exposure-lag functions are implemented with B-Splines in Cox models of proportional hazards. The DLNM approach yielded good agreement of exposure-lag-response surfaces for the German cohort and for the previously studied cohort of American Colorado miners. For both cohorts, a minimum lag of about 2 year for the onset of risk after first exposure explained the data well, but possibly with large uncertainty. Risk estimates from DLNMs were directly compared with estimates from both standard radio-epidemiological models and biologically based mechanistic models. For age > 45 year, all models predict decreasing estimates of the Excess Relative Risk (ERR). However, at younger age, marked differences appear as DLNMs exhibit ERR peaks, which are not detected by the other models. After comparing exposure-responses for biological processes in mechanistic risk models with exposure-responses for hazard ratios in DLNMs, we propose a typical period of 15 year for radon-related lung carcinogenesis. The period covers the onset of radiation-induced inflammation of lung tissue until cancer death. The DLNM framework provides a view on age-risk patterns supplemental to the standard radio-epidemiological approach and to biologically based modeling.