Socioeconomic Inequalities in Total and Site-Specific Cancer Incidence in Germany: A Population-Based Registry Study

Area-Based Socioeconomic Inequalities in Colorectal Cancer Survival in Germany: Investigation Based on Population-Based Clinical Cancer Registration

Background: Socioeconomic inequalities in colorectal cancer survival have been observed in many countries. To overcome these inequalities, the underlying reasons must be disclosed.

Methods: Using data from three population-based clinical cancer registries in Germany, we investigated whether associations between area-based socioeconomic deprivation and survival after colorectal cancer depended on patient-, tumor- or treatment-related factors. Patients with a diagnosis of colorectal cancer in 2000–2015 were assigned to one of five deprivation groups according to the municipality of the place of residence using the German Index of Multiple Deprivation. Cox proportional hazards regression models with various levels of adjustment and stratifications were applied.

Results: Among 38,130 patients, overall 5-year survival was 4.8% units lower in the most compared to the least deprived areas. Survival disparities were strongest in younger patients, in rectal cancer patients, in stage I cancer, in the latest period, and with longer follow-up. Disparities persisted after adjustment for stage, utilization of surgery and screening colonoscopy uptake rates. They were mostly still present when restricting to patients receiving treatment according to guidelines.

Conclusion: We observed socioeconomic inequalities in colorectal cancer survival in Germany. Further studies accounting for potential differences in non-cancer mortality and exploring treatment patterns in detail are needed.

The changing relationship between health burden and work disability of Australian cancer survivors, 2003-2017: evidence from a longitudinal survey

BACKGROUND

The purpose of this study was to examine the relationship between the cancer health burden and themagnitude of work disability on cancer survivors in Australia from 2003 to 2017.

METHODS

A longitudinal prospective study design was undertaken among cancer patients using data from the Household, Income and Labour Dynamics in Australia survey. The longitudinal effect was captured using a fixed effect multinomial logistic regression model, which predicted changes in the relationship between cancer burden and work disability level controlling for socio-demographic, lifestyle and life conditions predictors.

RESULTS

The prevalence of long-term disability among cancer survivors was 50%, with 18% of patients experiencing extreme work disability. The magnitude of disability levels increased significantly with the level of health burden. Cancer survivors who faced a severe health burden were at 5.32 times significantly higher risk of having work disability compared with patients who had no health burden. Other potential predictors, such as older patients (relative risk ratio, RRR = 1.82; 95% CI: 1.57, 5.87), those engaged in lower levels of physical activities (RRR = 1.91; 95% CI: 1.07, 3.40), those who drink alcohol (RRR = 1.29; 95% CI: 1.15, 1.49), and poor socioeconomic status (RRR = 1.28; 95% CI: 1.16, 2.23) were all significantly associated with extreme work disability.

CONCLUSION

A substantial proportion of cancer survivors experienced work disability which was more pronounced with the magnitude of the cancer health burden. The different dimensions of disability might be prevented by introducing cancer survivor-specific evidence-based interventions, and incorporating comprehensive social support. Recommendations to improve public health policy aimed at reducing population-level unhealthy lifestyle behaviours include: using these findings to better outline the management of a sequelae course of treatment for cancer survivors; and identifying those who should undergo more intensive physical rehabilitation aimed at reducing their work disability level.

Neighborhood Disadvantage and Lung Cancer Incidence in Ever-Smokers at a Safety Net Health-Care System: A Retrospective Study

BACKGROUND

Neighborhood circumstances have an influence on multiple health outcomes, but the association between neighborhood conditions and lung cancer incidence has not been studied in sufficient detail. The goal of this study was to understand whether neighborhood conditions are independently associated with lung cancer incidence in ever-smokers after adjusting for individual smoking exposure and other risk factors.

METHODS

A cohort of ever-smokers aged ≥ 55 years was assembled from 19 years of electronic health record data from our academic community health-care system. Patient demographic characteristics and other measures known to be associated with lung cancer were ascertained. Patient addresses at their index visit were geocoded to the census block group level to determine the area deprivation index (ADI), drawn from 5-year estimates from the American Community Survey. A multivariate Cox proportional hazards model was fit to assess the association between ADI and time to lung cancer diagnosis. Tests of statistical significance were two-sided.

RESULTS

The study included 19,867 male subjects and 21,748 female subjects. Fifty-three percent of the patients were white, 38% were black, and 5% were Hispanic. Of these, 1,149 developed lung cancer. After adjusting for known risk factors, patients residing in the most disadvantaged areas had a significantly increased incidence of lung cancer compared with those in the least disadvantaged areas (hazard ratio, 1.29; 95% CI 1.07-1.55).

CONCLUSIONS

Census-derived estimates of neighborhood conditions have a powerful association with lung cancer incidence, even when adjusting for individual variables. Further research investigating the mechanisms that link neighborhood conditions to lung cancer is warranted.

Cancer Mortality and Deprivation in the Proximity of Polluting Industrial Facilities in an Industrial Region of Spain

Residential proximity to industrial facilities that release pollutants is a source of exposure to a high number of toxics, many of them known or suspected carcinogens. The objective of the study was to analyze the association between lung, larynx, bladder, and kidney cancer mortality and deprivation in areas proximate to polluting industrial facilities in Cadiz, a highly industrialized province in Spain. An ecological study at census tract level was carried out to estimate the mortality rates associated with deprivation and proximity to polluting industrial facilities (1–5 km) using the Besag–York–Mollié model. The results show a negative social gradient for lung and larynx cancers in males and greater risk of lung cancer was observed in the least deprived areas in females. These associations were found regardless the distance to industrial facilities. Increasing excess risk (relative risk; 95% credibility interval) of lung cancer for males (1.09; 1.02–1.16 at 5 km vs 1.24; 1.08–1.41 at 1 km) and bladder cancer for males (1.11; 1.01–1.22 at 5 km vs 1.32; 1.08–1.60 at 1 km) and females (1.32; 1.04–1.69 at 4 km vs 1.91; 1.28–2.86 at 1 km) was found as proximity to polluting industrial facilities increased. For kidney cancer, high risks were observed near such facilities for both sexes. Knowing the possible influence of industrial pollution and social inequalities over cancer risk allows the definition of policies aimed at reducing the risk.

Socioeconomic inequalities in cancer incidence in Europe: a comprehensive review of population-based epidemiological studies

Background

Since the end of the previous century, there has not been a comprehensive review of European studies on socioeconomic inequality in cancer incidence. In view of recent advances in data source linkage and analytical methods, we aimed to update the knowledge base on associations between location-specific cancer incidence and individual or area-level measures of socio-economic status (SES) among European adults.

Materials and methods

We systematically searched three databases (PubMed, Scopus and Web of Science) for articles on cancer incidence and SES. Qualitative synthesis was performed on the 91 included English language studies, published between 2000 and 2019 in Europe, which focused on adults, relied on cancer registry data and reported on relative risk (RR) estimates.

Results

Adults with low SES have increased risk of head and neck, oesophagogastric, liver and gallbladder, pancreatic, lung, kidney, bladder, penile and cervical cancers (highest RRs for lung, head and neck, stomach and cervix). Conversely, high SES is linked with increased risk of thyroid, breast, prostate and skin cancers. Central nervous system and haematological cancers are not associated with SES. The positive gap in testicular cancer has narrowed, while colorectal cancer shows a varying pattern in different countries. Negative associations are generally stronger for men compared to women.

Conclusions

In Europe, cancers in almost all common locations are associated with SES and the inequalities can be explained to a varying degree by known life-style related factors, most notably smoking. Independent effects of many individual and area SES measures which capture different aspects of SES can also be observed.

The burden of chronic diseases among Australian cancer patients: Evidence from a longitudinal exploration, 2007-2017

INTRODUCTION

Cancer is a major public health concern in terms of morbidity and mortality worldwide. Several types of cancer patients suffer from chronic comorbid conditions that are a major clinical challenge for treatment and cancer management. The main objective of this study was to investigate the distribution of the burden of chronic comorbid conditions and associated predictors among cancer patients in Australia over the period of 2007-2017.

METHODS

The study employed a prospective longitudinal design using data from the Household, Income and Labour Dynamics in Australia survey. The number of chronic comorbid conditions was measured for each respondent. The longitudinal effect was captured using a fixed-effect negative binomial regression model, which predicted the potential factors that played a significant role in the occurrence of chronic comorbid conditions.

RESULTS

Sixty-one percent of cancer patients experienced at least one chronic disease over the period, and 21% of patients experienced three or more chronic diseases. Age (>65 years old) (incidence rate ratio, IRR = 1.15; 95% confidence interval, CI: 1.05, 1.40), inadequate levels of physical activity (IRR = 1.25; 95% CI: 1.09, 1.59), patients who suffered from extreme health burden (IRR = 2.30; 95% CI: 1.73, 3.05) or moderate health burden (IRR = 1.90; 95% CI: 1.45, 2.48), and patients living in the poorest households (IRR = 1.21; 95% CI: 1.11, 1.29) were significant predictors associated with a higher risk of chronic comorbid conditions.

CONCLUSIONS

A large number of cancer patients experience an extreme burden of chronic comorbid conditions and the different dimensions of these in cancer survivors have the potential to affect the trajectory of their cancer burden. It is also significant for health care providers, including physical therapists and oncologists, who must manage the unique problems that challenge this population and who should advocate for prevention and evidence-based interventions.

Emerging cancer incidence, mortality, hospitalisation and associated burden among Australian cancer patients, 1982 - 2014: an incidence-based approach in terms of trends, determinants and inequality

OBJECTIVE

Cancer is a leading killer worldwide, including Australia. Cancer diagnosis leads to a substantial burden on the individual, their family and society. The main aim of this study is to understand the trends, determinants and inequalities associated with cancer incidence, hospitalisation, mortality and its burden over the period 1982 to 2014 in Australia.

SETTINGS

The study was conducted in Australia.

STUDY DESIGN

An incidence-based study design was used.

METHODS

Data came from the publicly accessible Australian Institute of Health and Welfare database. This contained 2 784 148 registered cancer cases over the study period for all types of cancer. Erreygers' concentration index was used to examine the magnitude of socioeconomic inequality with regards to cancer outcomes. Furthermore, a generalised linear model was constructed to identify the influential factors on the overall burden of cancer.

RESULTS

The results showed that cancer incidence (annual average percentage change, AAPC=1.33%), hospitalisation (AAPC=1.27%), cancer-related mortality (AAPC=0.76%) and burden of cancer (AAPC=0.84%) all increased significantly over the period. The same-day (AAPC=1.35%) and overnight (AAPC=1.19%) hospitalisation rates also showed an increasing trend. Further, the ratio (least-most advantaged economic resources ratio, LMR of mortality (M) and LMR of incidence (I)) was especially high for cervix (M/I=1.802), prostate (M/I=1.514), melanoma (M/I=1.325), non-Hodgkin's lymphoma (M/I=1.325) and breast (M/I=1.318), suggesting that survival inequality was most pronounced for these cancers. Socioeconomically disadvantaged people were more likely to bear an increasing cancer burden in terms of incidence, mortality and death.

CONCLUSIONS

Significant differences in the burden of cancer persist across socioeconomic strata in Australia. Policymakers should therefore introduce appropriate cancer policies to provide universal cancer care, which could reduce this burden by ensuring curable and preventive cancer care services are made available to all people.

Socio-demographic characteristics are related to the advanced clinical stage of oral cancer

BACKGROUND

Social determinants may be associated with the onset and progression of the clinical stage of oral cancer.

AIM

To evaluate the impact of socio-demographic characteristics on the prevalence of advanced clinical stage of oral cancer.

MATERIAL AND METHODS

Information about 51,116 cases of oral cancer, from all Brazilian states, between 2000 and 2012, was obtained from the Cancer Registry Information System. The clinical stage of oral cancer (dependent variable) was classified as initial (stages I and II) or advanced (stages III and IV). The relationship between the clinical stage of oral cancer and the following independent variables was analyzed: sex, age, schooling, marital status, family history of cancer, and origin of referral. Analyses on frequency distribution and multivariate binary logistic regression model were performed (α<0.05).

RESULTS

Compared to individuals with no schooling, those who attended elementary to high school (OR=2.461) and college education (OR = 3.050) had a higher prevalence of advanced cases of oral cancer. Individuals without a partner (OR = 14,209) demonstrated a higher prevalence compared to married individuals. Subjects aged 20-44 years (OR = 4.081) and 45-64 years (OR = 14.875) had a higher prevalence compared to those aged 15-19 years. The variables gender, family history of cancer and origin of referral integrated the binary model of logistic regression, but did not present statistical significance.

CONCLUSIONS

Socioeconomic factors may be related to the advanced clinical stage of oral cancer.

Assessing and Explaining Geographic Variations in Mammography Screening Participation and Breast Cancer Incidence

Investigating geographic variations in mammography screening participation and breast cancer incidence help improve prevention strategies to reduce the burden of breast cancer. This study examined the suitability of health insurance claims data for assessing and explaining geographic variations in mammography screening participation and breast cancer incidence at the district level. Based on screening unit data (1,181,212 mammography screening events), cancer registry data (13,241 incident breast cancer cases) and claims data (147,325 mammography screening events; 1,778 incident breast cancer cases), screening unit and claims-based standardized participation ratios (SPR) of mammography screening as well as cancer registry and claims-based standardized incidence ratios (SIR) of breast cancer between 2011 and 2014 were estimated for the 46 districts of the German federal state of Lower Saxony. Bland-Altman analyses were performed to benchmark claims-based SPR and SIR against screening unit and cancer registry data. Determinants of district-level variations were investigated at the individual and contextual level using claims-based multilevel logistic regression analysis. In claims and benchmark data, SPR showed considerable variations and SIR hardly any. Claims-based estimates were between 0.13 below and 0.14 above (SPR), and between 0.36 below and 0.36 above (SIR) the benchmark. Given the limited suitability of health insurance claims data for assessing geographic variations in breast cancer incidence, only mammography screening participation was investigated in the multilevel analysis. At the individual level, 10 of 31 Elixhauser comorbidities were negatively and 11 positively associated with mammography screening participation. Age and comorbidities did not contribute to the explanation of geographic variations. At the contextual level, unemployment rate was negatively and the proportion of employees with an academic degree positively associated with mammography screening participation. Unemployment, income, education, foreign population and type of district explained 58.5% of geographic variations. Future studies should combine health insurance claims data with individual data on socioeconomic characteristics, lifestyle factors, psychological factors, quality of life and health literacy as well as contextual data on socioeconomic characteristics and accessibility of mammography screening. This would allow a comprehensive investigation of geographic variations in mammography screening participation and help to further improve prevention strategies for reducing the burden of breast cancer.

Exposure to second-hand smoke in the context of tobacco policy changes in Estonia, 1996-2016

BACKGROUND

Exposure to second-hand smoke (SHS) is a preventable cause of disease and disability that can effectively be tackled by tobacco legislation. The aim of the study was to analyse the trends of SHS exposure and its sociodemographic patterning during 1996-2016 in the context of tobacco policy changes in Estonia.

METHODS

Nationally representative data from biennial health surveys in 1996-2016 (n = 14 629) were used to present prevalence ratios for SHS exposure among non-smokers in Estonia. Joinpoint regression and multivariable logistic regression were used to study the sociodemographic and socio-economic differences in SHS exposure and its changes during the period.

RESULTS

Exposure to SHS among non-smoking men and women has declined 3.6 and 5 times, respectively, during 1996-2016. While the rate of change was constant among men throughout the period, the decline in SHS exposure among women became significantly faster after 2006 compared with the previous period. However, 15.6% [95% confidence interval (CI) 13.1-18.3%] of men and 8.8% (95% CI 7.1-10.6%) of women were still exposed to SHS in 2016 with higher odds found for younger age groups, non-Estonians and those with lower education and income.

CONCLUSIONS

The consistently declining prevalence of SHS exposure among non-smoking population can be at least partially attributed to implementation of tobacco legislations in 2000s. However, the existing sociodemographic and socio-economic differences in SHS exposure require further attention as those in more vulnerable positions are also more exposed to SHS-related health harms.

The association of socioeconomic status with quality of life in cancer patients over a 6-month period using individual growth models

PURPOSE

Studies examining longitudinal associations between socioeconomic factors and quality of life (QoL) in cancer patients are rare. This study investigates changes in QoL over a 6-month period.

METHODS

Four hundred forty-two cancer patients (mean age 64, SD = 11, 70% male) completed standardized questionnaires at the beginning (t1) and end (t2) of their hospital stay and 3 (t3) and 6 months (t4) thereafter. QoL was assessed with the EORTC QLQ-C30 core questionnaire. Mixed effect models were employed to analyze individual changes in QoL in relation to socioeconomic status (education, income, job status) over the four timepoints. Age, sex, cohabitation, disease and treatment factors, and comorbidity were included as covariates in the models.

RESULTS

Income was a predictive factor for QoL. Patients with a low income had 8.8 percentage points (PP) lower physical, 4.9 PP lower emotional, and 11.4 PP lower role functioning. They also had 6.6 PP lower global QoL. Lower social functioning (6.2 PP) was found in patients with higher education or university degrees compared with those who were less educated or had not undergone an apprenticeship. Income also influenced trajectories of role functioning. There was no evidence that primary or secondary education and job type were related to QoL.

CONCLUSIONS

The fact that income is negatively associated with many aspects of quality of life should be considered during and after treatment with a focus on patients with special needs.