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The advanced stage at diagnosis of colorectal cancer (CRC) may be related to individual factors, socioeconomic conditions, and healthcare service availability. The objective of the study was to analyze the prevalence of advanced stage CRC at the time of diagnosis and its association with individual, contextual, socioeconomic, and healthcare service indicators. An observational, cross-sectional study was conducted, analyzing cases of malignant neoplasms of the colon and rectum in individuals of both sexes, aged between 18 and 99 years, diagnosed between 2010 and 2019 in Brazil (n = 69,047). Data were collected from the Hospital Cancer Registry (HCR), Atlas of Human Development in Brazil, and from the National Registry of Health Institutions (NRHI). A Multilevel Poisson Regression model with random intercept was used. The prevalence of advanced stage CRC at diagnosis was 65.6%. Advanced stage was associated with older age groups prevalence ratio (PR) 4.40 and younger age groups (PR 1.84), low Human Development Index (HDI) (PR 1.22), and low density of family health strategy teams (PR 1.10). The study highlights the unequal distribution of social determinants of health in the diagnosis CRC in Brazil, revealing the need to evaluate and redirect public policies aimed at improving early detection and prevention of CRC in the country.

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This study aimed to estimate the prevalence of multimorbidity in Brazilian individuals and its association with sociodemographic and lifestyle factors. This cross-sectional study used data from the National Health Survey conducted in 2019 with 88,531 Brazilian adults Multimorbidity is the presence of two or more non-communicable chronic diseases. Associated factors were assessed by calculating the prevalence ratio (PR) obtained using Poisson regression with robust variance. Multimorbidity was estimated in 29.9% (95%CI: 29.33% to 30.48%) of Brazilian individuals. In the multiple models, the prevalence was high in women (PR: 1.37; 95%CI: 1.32 to 1.42), individuals over 60 years (PR: 4.26; 95%CI: 3.87 to 4.69), non-employed (PR: 1.20; 95%CI: 1.15 to 1.26), individuals with obesity (PR: 1.49; 95%CI: 1.43 to 1.56), and smokers (PR: 1.24; 95%CI: 1.19 to 1.29). This study identified a high prevalence of multimorbidity and its association with sociodemographic and lifestyle factors. The monitoring of these outcomes may support the development of policies and services.

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BACKGROUND: About half of cancer deaths in Brazil occur among individuals of working-age (under 65 years for men, under 60 for women), resulting in a substantial economic impact for the country. We aimed to estimate the years of potential productive life lost (YPPLL) and value the productivity lost due to premature deaths from cancer between 2001 and 2015 and the projected to 2030. METHODS: We used the Human Capital Approach to estimate the productivity losses corresponding to YPPLL for cancer deaths in working age people (15-64 years). Mortality data were obtained from the Mortality Information System from 2001 to 2015 and projected between 2016 and 2030. Economic data were obtained from the Continuous National Household Sample Survey and forecasted to 2030. Productivity lost was calculated as the monetary value arising from YPPLL in Int$(2016). RESULTS: Between 2001 and 2030, a total of 2.3 million premature deaths from all cancers combined were observed and forecasted in Brazil (57% men, 43% women), corresponding to 32 million YPPLL and Int$141.3 billion in productivity losses (men: Int$102.5 billion, women: Int$38.8 billion). Between 2001 and 2030, among men, lung (Int$ 12.6 billion), stomach (Int$ 10.6 billion) and colorectal (Int$ 9.4 billion) cancers were expected to contribute to the greatest productivity losses; and among women, it will be for breast (Int$ 10.0 billion), cervical (Int$ 6.4 billion) and colorectal (Int$ 3.2 billion) cancers. CONCLUSIONS: Many preventable cancers result in high lost productivity, suggesting measure to reduce smoking prevalence, alcohol consumption, physical inactivity and inadequate diet, improving screening programs and increasing vaccination coverage for human papillomavirus and hepatitis B would have a positive impact on the economy, as well as reducing morbidity and mortality from cancer.

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Background: We provide a comprehensive view of the impact of alcohol consumption, tobacco smoking, excess body weight, and human papillomavirus (HPV) infection on cancer mortality and years of life lost (YLLs) in Brazil, Russia, India, China, South Africa, the United Kingdom (UK), and United States (US). Methods: We collected population attributable fractions of the four risk factors from global population-based studies and applied these to estimates of cancer deaths in 2020 to obtain potentially preventable cancer deaths and their 95% confidence intervals (CIs). Using life tables, we calculated the number and age-standardised rates of YLLs (ASYR). Findings: In Brazil, Russia, India, China, South Africa, the UK, and the US in 2020, an estimated 5.9 million (3.3 million-8.6 million) YLLs from cancer were attributable to alcohol consumption, 20.8 million (17.0 million-24.6 million) YLLs to tobacco smoking, 3.1 million (2.4 million-3.8 million) YLLs to excess body weight, and 4.0 million (3.9 million-4.2 million) YLLs to HPV infection. The ASYR from cancer due to alcohol consumption was highest in China (351.4 YLLs per 100,000 population [95% CI 194.5-519.2]) and lowest in the US (113.5 [69.6-157.1]) and India (115.4 [49.7-172.7). For tobacco smoking, China (1159.9 [950.6-1361.8]) had the highest ASYR followed by Russia (996.8 [831.0-1154.5). For excess body weight, Russia and the US had the highest ASYRs (385.1 [280.6-481.2] and 369.4 [299.6-433.6], respectively). The highest ASYR due to HPV infection was in South Africa (457.1 [453.3-462.6]). ASYRs for alcohol consumption and tobacco smoking were higher among men than women, whereas women had higher ASYRs for excess body weight and HPV infection. Interpretation: Our findings demonstrate the importance of cancer control efforts to reduce the burden of cancer death and YLLs due to modifiable cancer risk factors and promote the use of YLLs to summarise disease burden. Funding: Cancer Research UK.

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BACKGROUND: Cancer staging information in Hospital Cancer Registries (HCR) is essential for cancer care quality evaluations. This study aimed to analyze the completeness of cervical cancer staging in Brazilian HCR and identify individual and contextual factors associated with unknown staging. METHODS: The outcome analyzed was missing or unknown staging (Malignant Tumor Classification System and/or International Federation of Gynecology and Obstetrics) in 2006-2015. Individual data on cancer cases were collected from the HCR Integrator. Contextual variables were collected from the Atlas of Human Development in Brazil, the National Registry of Health Facilities, and the Outpatient Information System. The random intercept multilevel Poisson regression model was performed to identify the factors associated with the outcome. RESULTS: The prevalence of unknown staging data was 32.4% (95% confidence interval [CI], 32.1-32.7). Women aged 18-29 years (prevalence ratio [PR], 1.48; 95% CI, 1.42-1.54), referred by the public health system (PR, 1.16; 95% CI, 1.11-1.21), living in states with a low density of oncologists (PR, 1.70; 95% CI, 1.62-1.79), and with a low cytopathological testing rate (PR, 1.69; 95% CI, 1.57-1.82) showed a higher prevalence of unknown tumor staging data. A lower level of education (PR, 0.91; 95% CI, 0.84-0.98) was associated with complete staging data. CONCLUSIONS: Individual and contextual factors were associated with missing staging data. It is necessary to improve information on cancer in the HCRs by improving the awareness and training of Brazilian cancer care professionals.

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Background: A one-third reduction in premature mortality (30-69 years) from chronic noncommunicable diseases is goal 3.4 of the United Nations Sustainable Development Goals (UN SDG). The burden of NCDs is expected to continue to increase in low- and middle-income countries, including Brazil. Objectives: The aim of this study was to assess geographical and temporal patterns in premature cancer mortality in Brazil between 2001 and 2015 and to predict this to 2030 in order to benchmark against the 3.4 SDG target. Methods: We used data on deaths from cancer in those aged 30-69, by age group, sex and cancer site, between 2001 and 2015 from the National Mortality Information System of Brazil (SIM). After correcting for ill-defined causes, crude and world age-standardised mortality rates per 100,000 inhabitants were calculated nationally and for the 5 regions. Predictions were calculated using NordPred, up to 2030. Results: The difference in observed (2011-2015) and predicted (2026-2030) mortality was compared against the SDG 3.4 target. Between 2011-2015 and 2026-2030 a 12.0% reduction in premature cancer age-standardised mortality rate among males and 4.6% reduction among females is predicted nationally. Across regions this varied from 2.8% among females in North region to 14.7% among males in South region. Lung cancer mortality rates are predicted to decrease among males but not among females nationally (men 28%, females 1.1% increase) and in all regions. Cervical cancer mortality rates are projected to remain very high in the North. Colorectal cancer mortality rates will increase for both sexes in all regions except the Southeast. Conclusions and recommendation: Cancer premature mortality is expected to decrease in Brazil, but the extent of the decrease will be far from the SDG 3.4 target. Nationally, only male lung cancer will be close to reaching the SDG 3.4 target, reflecting the government's long-term efforts to reduce tobacco consumption. Projected colorectal cancer mortality increases likely reflect the epidemiological transition. This and, cervical cancer control will continue to be major challenges. These results will help inform strategic planning for cancer primary prevention, early detection and treatment programs; such initiatives should take cognizance of the regional differences highlighted here.

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This study aimed to identify Brazilian dietary patterns and their associations with health, lifestyle and sociodemographic characteristics. Data from the Brazilian National Health Survey conducted in 2013 were used. A questionnaire was applied containing 22 items related to dietary consumption. Dietary patterns were determined through factor analysis (FA). Poisson regression models, with robust variance, were used to identify associations between dietary patterns and independents variables. Statistical significance was defined as p-value<0.05. Data were analysed for 60,202 adults (estimated population size: 146,308,458). FA identified three dietary patterns: healthy, protein, and western. The younger age group (18-24 years) had a lower adherence to the healthy pattern (PR:0.53; 95%CI:0.49-0.58) and greater adherence to the protein (PR:1.52; 95%CI:1.42-1.62) and western (PR:1.80; 95%CI:1.68-1.93) patterns compared to the elderly (≥60 years). Women had a greater association with the healthy pattern (PR:1.32; 95%CI:1.28-1.38) and lower association with the protein pattern (PR:0.80; 95%CI:0.77-0.82) compared to men. Illiterate participants showed lower adherence to the healthy (PR:0.58; 95%CI:0.53-0.63) and western (PR:0.54; 95%CI:0.48-0.62) patterns compared to those with higher educational levels. Smokers had lower adherence to the healthy (PR:0.76; 95%CI:0.71-0.81) and higher adherence to the protein (PR:1.14; 95%CI:1.11-1.19) patterns compared to non-smokers. Participants with poor/very poor self-rated health status had a lower adherence to the healthy (PR:0.79; 95%CI:0.73-0.86) and western (PR:0.81; 95%CI:0.73-0.89) patterns compared to those in a very good/good self-rated health status. Multimorbidity was positively associated with the healthy pattern (PR:1.18; 95%CI:1.11-1.26) and inversely associated with the protein pattern (PR:0.88; 95%CI:0.80-0.96) compared to participants without comorbidities. We suggest that strategies to promote healthy eating should consider health, lifestyle and sociodemographic characteristics in the Brazilian population.

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The advanced-stage diagnosis of breast cancer reveals the inequalities associated with socioeconomic conditions and the offer of health services. This study analyzes the prevalence of advanced breast cancer and its relationship with individual and contextual socioeconomic indicators and offer of health service. A cross-sectional study is presented herein, on the assessment of malignant breast neoplasms in women diagnosed between 2006 and 2015 (n = 195,201). Data were collected from the Hospital Cancer Registry (HCR), Atlas of Human Development in Brazil, and from the National Registry of Health Institutions (NRHI). A multilevel Poisson Regression was carried out with random intercept. The prevalence of advanced breast cancer diagnosis was 40.0%. Advanced staging was associated with younger age groups (PR 1.41), race/nonwhite (PR 1.13), lower education levels (PR 1.38), and public access to health services (PR 1.25). There was also an association with a low density of mammographic equipment (PR 1.08), and with low indices of local social inequality (PR 1.33) and human development (PR 0.80). This study maps and highlights the causes related to inequalities in the diagnosis of advanced breast cancer in Brazil, and presents essential data to reorient public policies and health-related actions to strengthen the control of breast cancer in Brazil.

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