Unemployment and prostate cancer mortality in the OECD, 1990-2009

Effect of red meat, vegetable, tobacco, and alcohol consumption on national cancer mortality index: Data from 1989 to 2013 in 37 developed countries

This study aimed to examine the association between red meat (RM) and death from all types of cancer, as well as its association with the incidence of colon cancer in developed countries. We selected RM, vegetable, tobacco, alcohol consumption, and socioeconomic status as the dependent variables' risk factors and performed ordinary least squares (OLS) and a fixed-effect model (FEM) analysis. Data from 1989 to 2013 for 37 Organization for Economic Cooperation and Development (OECD) countries. According to the FEM, cancer death had statistically significant associations with education level (Coef = -0.022, P = 0.009), total health expenditure (Coef = -0.049, P = 0.000), aging rate (Coef = -0.178, P = 0.000), tobacco consumption (Coef = 0.096, P = 0.000), RM consumption (Coef = 0.107, P = 0.000), and vegetable consumption (Coef = -0.034, P = 0.000). A similar trend was also observed in the 3 and 5-year lagged models. RM consumption also demonstrated a significantly positive association with the incidence of colon cancer in the OLS. According to the scatter plots and fitted lines based on the recommended allowance RM consumption, cancer deaths and incidence of colon cancer increased as consumption increased in the excess consumption group. Regarding vegetable consumption, cancer deaths and incidence of colon cancer decreased as consumption increased in the group exceeding the recommended allowance level. RM consumption was found to be higher than the recommended allowance level. RM consumption increased cancer deaths and the incidence of colon cancer. There is justification for public health interventions to limit RM consumption in major developed countries.

ECONOMIC RECESSION AND THE RISK OF CANCER - A Cohort Study from Eastern Finland

BackgroundLittle is known about the role of economic recessions in the risk of cancer. Therefore, we evaluated the impact of the severe economic recession in Finland between 1991-1994 on the incidence of all cancers and cancer subtypes among middle-age and older population.MethodsFrom the Kuopio Ischemic Heart Disease Risk Factor Study (KIHD), a population-based sample of 1620 women and men aged 53-73 years were examined between 1998-2001. The cancer-free participants completed a questionnaire on the possible impact of the 1990s recession in Finland on their lives. Incident cases of cancer were obtained through record linkage with the Finnish Cancer Registry. Cox proportional hazards regression was used to estimate hazard ratios (HR) of incident cancer events after adjusting for possible confounders.ResultsA total of 1096 cancer-free participants had experienced socioeconomic hardships due to the recession at the baseline. During 20 years of follow-up, 473 participants developed cancer. After adjustment for age, baseline socioeconomic position and lifestyle factors, the risk of all cancers was 32% higher among men who experienced socioeconomic hardships compared to those who did not (HR 1.32, 95%CI, 0.99-1.75, p=0.05). Prostate-genital cancer was 71% higher among men with hardships (n=103, HR=1.71, 95%CI, 1.06-2.74, p=0.02). No association was observed between socioeconomic hardships and subsequent risk of total or any subtype of cancer among women.Conclusions:The 1990s economic recession was associated with increased risk of all cancers, especially prostate-genital cancer among Finnish middle-age and older men, but no association with cancer was observed in women.

Real-world clinical significance of nonbiological factors with staging, prognosis and clinical management in rectal cancer

BACKGROUND

The clinical guidance of the American Joint Committee on Cancer (AJCC) tumor, node, metastasis (TNM) staging system is established only in biological factors and does not include nonbiological factors (NBFs). We assessed the clinical value of incorporating NBFs into the TNM staging system in point of the clinical management and prognostic prediction accuracy of rectal cancer.

METHODS

We used the Surveillance, Epidemiology and End Results (SEER) database and identified 12,515 patients with rectal cancer who were diagnosed between 1 January 2011 and 31 December 2015. Multivariate Cox proportional hazards regression analysis and Kaplan-Meier curves were used to determine the probabilities of cancer-specific survival (CSS) according to different TNM-NBF stages.

RESULTS

Multivariate Cox regression analysis showed that county percentage with a bachelor's degree, insurance status, unemployment status, and marital status were all significant prognostic NBFs (p < 0.05). The concordance index of TNM-NBF stages was 0.815 (95% confidence interval (CI) 0.8072-0.8228). Multivariate Cox analyses showed that, compared with NBF0-stage, NBF1-stage was contacted with a 54.5% increased risk of cancer-specific mortality in rectal cancer, which increased to 68.3% in non-metastatic rectal cancer (all p < 0.001). NBF0-stage showed a CSS benefit as compared with NBF1-stage (p < 0.001).

CONCLUSIONS

We found that NBF-stage was an independent prognostic factor for survival in rectal cancer. The influence of NBFs on survival in rectal cancer warrants greater clinical attention. Furthermore, the consolidation of NBF-stage into the TNM staging system is crucial to better prognostic prediction accuracy and individualized risk-adaptive therapies.

Socio-economic inequalities on cancer mortality in nine European areas: The effect of the last economic recession

BACKGROUND

The effect of inequalities aggravated by economic recessions in the mortality rates of certain diseases has been previously described. In this study, we analyzed the relationship between socio-economic deprivation and cancer mortality. We focused on lung, colon, prostate, and breast cancers in nine European urban areas over three periods: two before (2000-2003 and 2004-2008) and one after (2009-2014) the onset of the 2008 financial crisis.

METHODS

This is an ecological study of trends. The units of analysis were small areas within nine European urban areas. We used a composite deprivation index as a socio-economic indicator. As a mortality indicator, we used the smoothed standardized mortality ratio, calculated using the hierarchical Bayesian model proposed by Besag, York and Mollié. To analyze the evolution of socio-economic inequalities, we fitted an ecological regression model that included the socio-economic indicator, the period of time, and the interaction between these terms.

RESULTS

In men, socio-economic inequalities in all-cancer and lung cancer mortality were observed in most of the cities studied, but did not increase after the onset of the economic crisis. In women, only two cities (Stockholm and London) showed socio-economic inequalities in all-cancer and lung cancer mortality; there was also no increase in inequalities.

CONCLUSIONS

Our results did not validate our hypothesis that inequalities increase in times of crisis. However, they emphasize the importance of socio-economic measurements for understanding mortality inequalities, and can be used to inform prevention strategies and help plan local health programs aimed at reducing health inequalities.

The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer

INTRODUCTION

Neighborhood socioeconomic (nSES) factors have been implicated in prostate cancer (PCa) disparities. In line with the Precision Medicine Initiative that suggests clinical and socioenvironmental factors can impact PCa outcomes, we determined whether nSES variables are associated with time to PCa diagnosis and could inform PCa clinical risk assessment.

MATERIALS AND METHODS

The study sample included 358 high risk men (PCa family history and/or Black race), aged 35-69 years, enrolled in an early detection program. Patient variables were linked to 78 nSES variables (employment, income, etc.) from previous literature via geocoding. Patient-level models, including baseline age, prostate specific antigen (PSA), digital rectal exam, as well as combined models (patient plus nSES variables) by race/PCa family history subgroups were built after variable reduction methods using Cox regression and LASSO machine-learning. Model fit of patient and combined models (AIC) were compared; p-values<0.05 were significant. Model-based high/low nSES exposure scores were calculated and the 5-year predicted probability of PCa was plotted against PSA by high/low neighborhood score to preliminarily assess clinical relevance.

RESULTS

In combined models, nSES variables were significantly associated with time to PCa diagnosis. Workers mode of transportation and low income were significant in White men with a PCa family history. Homeownership (%owner-occupied houses with >3 bedrooms) and unemployment were significant in Black men with and without a PCa family history, respectively. The 5-year predicted probability of PCa was higher in men with a high neighborhood score (weighted combination of significant nSES variables) compared to a low score (e.g., Baseline PSA level of 4ng/mL for men with PCa family history: White-26.7% vs 7.7%; Black-56.2% vs 29.7%).

DISCUSSION

Utilizing neighborhood data during patient risk assessment may be useful for high risk men affected by disparities. However, future studies with larger samples and validation/replication steps are needed.

Trends in cancer mortality in Spain: the influence of the financial crisis

OBJECTIVE

To determine if the onset of the economic crisis in Spain affected cancer mortality and mortality trends.

METHOD

We conducted a longitudinal ecological study based on all cancer-related deaths and on specific types of cancer (lung, colon, breast and prostate) in Spain between 2000 and 2013. We computed age-standardised mortality rates in men and women, and fit mixed Poisson models to analyse the effect of the crisis on cancer mortality and trends therein.

RESULTS

After the onset of the economic crisis, cancer mortality continued to decline, but with a significant slowing of the yearly rate of decline (men: RR = 0.987, 95%CI = 0.985-0.990, before the crisis, and RR = 0.993, 95%CI = 0.991-0.996, afterwards; women: RR = 0.990, 95%CI = 0.988-0.993, before, and RR = 1.002, 95%CI = 0.998-1.006, afterwards). In men, lung cancer mortality was reduced, continuing the trend observed in the pre-crisis period; the trend in colon cancer mortality did not change significantly and continued to increase; and the yearly decline in prostate cancer mortality slowed significantly. In women, lung cancer mortality continued to increase each year, as before the crisis; colon cancer continued to decease; and the previous yearly downward trend in breast cancer mortality slowed down following the onset of the crisis.

CONCLUSIONS

Since the onset of the economic crisis in Spain the rate of decline in cancer mortality has slowed significantly, and this situation could be exacerbated by the current austerity measures in healthcare.

Variation in tonsillectomy rates by health care system type

OBJECTIVE

To analyze variation in tonsillectomy procedure rates between health care system types around the world.

STUDY DESIGN

International database analysis.

METHODS

The 2015 Organization for Economic Co-operation and Development (OECD) Health Statistics surgical procedures database was used to ascertain tonsillectomy procedure volumes for 31 countries. Each country's health system type and structure were classified by overall system type, and by health care regulation, financing, and provision methods. Each system type and structure variable were compared using the rate of tonsillectomy procedures per 100,000 citizens.

RESULTS

10.5 million tonsillectomy procedures completed between 1993 and 2014 were analyzed. Overall, social health insurance system types had higher total tonsillectomy rates versus other health care system types (p < 0.05 for each comparison). Health systems with private care provision had a higher procedure rate versus state provided care (159.1 vs. 131.1 per 100,000 citizens; p = 0.002). Health care systems with societal regulation and financing had a higher procedure count versus state regulated or financed care (regulation 193.3 vs. 139.7 per 100,000 citizens, p < 0.0001; financing 168.2 vs. 135.0 per 100,000 citizens, p = 0.0004).

CONCLUSIONS

The volume of tonsillectomy procedures is associated with a health care system's overall structure, regulation, financing, and provision methods. International health care systems with state mediated provision, regulation, and financing had lower tonsillectomy rates versus systems with private provision, and societal regulation or financing. Further study is needed to determine differences in indications for tonsillectomy between countries, but these results underscore potential variation in health care delivery in different systems.

Musculoskeletal pain and re-employment among unemployed job seekers: a three-year follow-up study

BACKGROUND

Poor health is a potential risk factor for not finding employment among unemployed individuals. We investigated the associations between localized and multiple-site musculoskeletal pain and re-employment in a three-year follow-up of unemployed job seekers.

METHODS

Unemployed people (n = 539) from six localities in southern Finland who participated in various active labour market policy measures at baseline in 2002/2003 were recruited into a three-year health service intervention trial. A questionnaire was used to collect data on musculoskeletal health and background characteristics at baseline and on employment status at the end of the follow-up. We conducted a complete case (n = 284) and multiple imputation analyses using logistic regression to investigate the association between baseline musculoskeletal pain and re-employment after three years.

RESULTS

Participants with severe pain in the lower back were less likely to become re-employed. This was independent of potential confounding variables. Pain in the hands/upper extremities, neck/shoulders, lower extremities, as well as multiple site were not determinants of re-employment.

CONCLUSIONS

Our findings lend some support to the hypothesis that poor health can potentially cause health selection into employment. There is the need to disentangle health problems in order to clearly appreciate their putative impact on employment. This will allow for more targeted interventions for the unemployed.