scholarly journals Assessing geographic and industry-related trends in bladder cancer in Ontario: A population-based study

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Leandra Stringer ◽  
Tina Luu Ly ◽  
Nicolas Vanin Moreno ◽  
Christopher Hewitt ◽  
Michael Haan ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Natural Resource ◽  
Proportional Hazards ◽  
Census Data ◽  
Hot Spot ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Screening Guidelines ◽  
Cold Spots ◽  
Statistics Canada

Introduction: Bladder cancer (BC) is the fifth most prevalent cancer in Canada, with 9000 Canadians diagnosed each year.1 While smoking is the most important risk factor, environmental and occupational carcinogens have been found to significantly contribute to BC rates.2 As Canada is highly reliant on natural resource industries, this study seeks to identify geographical and industry-related trends of BC rates in Ontario. Methods: The 1991 and 2001 Canadian Census Health and Environment Cohort (CanCHEC; Statistics Canada) was used, along with individual years of Census data. Maps identifying hot and cold spots for BC within Ontario were generated, and the former were assessed for industry patterns between location and BC rates. Cox proportional hazards models were run for each age cohort to predict the likelihood of developing BC by industry of work. Results: Significant geographical and industrial trends in BC rates were identified. For 1991–2001; hot spots included the Cochrane, Manitoulin, Parry Sound, and Sudbury (90% confidence interval [CI]), and Nipissing and Temiskaming (95% CI) regions. Toronto and York were cold spots. Concurrently, metal (p=0.039), paper and publishing (p=0.0062), and wood and furniture (p<0.0001) industries had increased rates of BC. Notably, these industries had high employment density in our hot spot areas and low density in our cold spots. Conclusions: Significant geographical and industrial BC trends were found in Northern Ontario regions reliant on heavy employment in natural resource-based industries, such as forestry, agriculture, and wood/paper. These findings may inform future screening guidelines and aid in identifying individuals at risk of BC development.

scholarly journals Trends in Childhood Viable Pregnancy and Risk of Stillbirth in the United States

2021 ◽  
Author(s):  
Sahra Ibrahimi ◽  
Deepa Dongarwar ◽  
Korede K. Yusuf ◽  
Sitratullah Olawunmi Maiyegun ◽  
Hamisu M. Salihu
Keyword(s):  
Proportional Hazards ◽  
Census Data ◽  
The United States ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Early Years ◽  
Teen Mothers ◽  
Population Census ◽  
Hazard Ratios ◽  
The Us

Abstract The objective of this study was to assess trends in childhood viable pregnancy over the previous three decades as well as the risk of stillbirth in these highly vulnerable child mothers. We conducted a population-based retrospective cohort study that used Birth datasets, Fetal Death datasets, and the US population census data: 1982-2017. To assess the association between various socio-demographic and maternal comorbidities and stillbirth, we generated adjusted hazard ratios (AHR) from Cox Proportional Hazards Regression models. Overall, there were declines in the stillbirth rates in both teens (15-19 years old) and child mothers aged ≤ 14 years, but the rate remained consistently higher among child mothers. Compared to teen mothers, childhood pregnancy was modestly associated with elevated risk for stillbirth. Childhood pregnancy is a risk factor for stillbirth. These findings further underscore the need for sustained efforts and policies to prevent pregnancies in the early years of reproductive development.

scholarly journals Cancer risks in a population-based study of 70,570 agricultural workers: results from the Canadian census health and Environment cohort (CanCHEC)

2021 ◽  
Author(s):  
Linda Kachuri ◽  
M. Anne Harris ◽  
Jill S. MacLeod ◽  
Michael Tjepkema ◽  
Paul A. Peters ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Sun Exposure ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Agricultural Workers ◽  
Lip Cancer ◽  
Increased Risk ◽  
Liver Cancers ◽  
Statistics Canada ◽  
Hematopoietic Cancers

Background Agricultural workers may be exposed to potential carcinogens including pesticides, sensitizing agents and solar radiation. Previous studies indicate increased risks of hematopoietic cancers and decreased risks at other sites, possibly due to differences in lifestyle or risk behaviours. We present findings from CanCHEC (Canadian Census Health and Environment Cohort), the largest national population-based cohort of agricultural workers. Methods Statistics Canada created the cohort using deterministic and probabilistic linkage of the 1991 Canadian Long Form Census to National Cancer Registry records for 1992–2010. Self-reported occupations were coded using the Standard Occupational Classification (1991) system. Analyses were restricted to employed persons aged 25–74 years at baseline (N = 2,051,315), with follow-up until December 31, 2010. Hazard ratios (HR) and 95% confidence intervals (CI) were modeled using Cox proportional hazards for all workers in agricultural occupations (n = 70,570; 70.8% male), stratified by sex, and adjusted for age at cohort entry, province of residence, and highest level of education. Results A total of 9515 incident cancer cases (7295 in males) occurred in agricultural workers. Among men, increased risks were observed for non-Hodgkin lymphoma (HR = 1.10, 95% CI = 1.00–1.21), prostate (HR = 1.11, 95% CI = 1.06–1.16), melanoma (HR = 1.15, 95% CI = 1.02–1.31), and lip cancer (HR = 2.14, 95% CI = 1.70–2.70). Decreased risks in males were observed for lung, larynx, and liver cancers. Among female agricultural workers there was an increased risk of pancreatic cancer (HR = 1.36, 95% CI = 1.07–1.72). Increased risks of melanoma (HR = 1.79, 95% CI = 1.17–2.73), leukemia (HR = 2.01, 95% CI = 1.24–3.25) and multiple myeloma (HR = 2.25, 95% CI = 1.16–4.37) were observed in a subset of female crop farmers. Conclusions Exposure to pesticides may have contributed to increased risks of hematopoietic cancers, while increased risks of lip cancer and melanoma may be attributed to sun exposure. The array of decreased risks suggests reduced smoking and alcohol consumption in this occupational group compared to the general population.

scholarly journals Survival rate of patients with bladder cancer and its related factors in Kurdistan Province (2013–2018): a population-based study

BMC Urology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Mozhdeh Amiri ◽  
Sofimajidpour Heshmatollah ◽  
Nader Esmaeilnasab ◽  
Jamshid Khoubi ◽  
Ebrahim Ghaderi ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Survival Rate ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Disease Stage ◽  
Related Factors ◽  
Hazards Model

Abstract Background Bladder cancer is one of the most common urinary tract cancers. This study aims to estimate the survival rate of patients with bladder cancer according to the Cox proportional hazards model based on some key relevant variables. Methods In this retrospective population-based cohort study that explores the survival of patients with bladder cancer and its related factors, we first collected demographic information and medical records of 321 patients with bladder cancer through in-person and telephone interviews. Then, in the analysis phase, Kaplan–Meier method and log-rank test were used to draw the survival curve, compare the groups, and explore the effect of risk factors on the patient survival rate using Cox proportional hazards model. Results The median survival rate of patients was 63.2 (54.7–72) months and one, three and five-year survival rates were 87%, 68% and 54%, respectively. The results of multiple analyses using Cox's proportional hazards model revealed that variables of sex (male gender) (HR = 11.8, 95% CI: 0.4–100.7), more than 65 year of age (HR = 4.1, 95% CI: 0.4–11), occupation, income level, (HR = 0.4, 95% CI: 0.2–0.8), well differentiated tumor grade (HR = 3.2, 95% CI: 1.7–6) and disease stage influenced the survival rate of patients (p < 0.05). Conclusion The survival rate of patients with bladder cancer in Kurdistan province is relatively low. Given the impact of the disease stage on the survival rate, adequate access to appropriate diagnostic and treatment services as well as planning for screening and early diagnosis, especially in men, can increase the survival rate of patients.

scholarly journals Cancer risks in a population-based study of 70,570 agricultural workers: results from the Canadian census health and Environment cohort (CanCHEC)

2021 ◽  
Author(s):  
Linda Kachuri ◽  
M. Anne Harris ◽  
Jill S. MacLeod ◽  
Michael Tjepkema ◽  
Paul A. Peters ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Sun Exposure ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Agricultural Workers ◽  
Lip Cancer ◽  
Increased Risk ◽  
Liver Cancers ◽  
Statistics Canada ◽  
Hematopoietic Cancers

Background Agricultural workers may be exposed to potential carcinogens including pesticides, sensitizing agents and solar radiation. Previous studies indicate increased risks of hematopoietic cancers and decreased risks at other sites, possibly due to differences in lifestyle or risk behaviours. We present findings from CanCHEC (Canadian Census Health and Environment Cohort), the largest national population-based cohort of agricultural workers. Methods Statistics Canada created the cohort using deterministic and probabilistic linkage of the 1991 Canadian Long Form Census to National Cancer Registry records for 1992–2010. Self-reported occupations were coded using the Standard Occupational Classification (1991) system. Analyses were restricted to employed persons aged 25–74 years at baseline (N = 2,051,315), with follow-up until December 31, 2010. Hazard ratios (HR) and 95% confidence intervals (CI) were modeled using Cox proportional hazards for all workers in agricultural occupations (n = 70,570; 70.8% male), stratified by sex, and adjusted for age at cohort entry, province of residence, and highest level of education. Results A total of 9515 incident cancer cases (7295 in males) occurred in agricultural workers. Among men, increased risks were observed for non-Hodgkin lymphoma (HR = 1.10, 95% CI = 1.00–1.21), prostate (HR = 1.11, 95% CI = 1.06–1.16), melanoma (HR = 1.15, 95% CI = 1.02–1.31), and lip cancer (HR = 2.14, 95% CI = 1.70–2.70). Decreased risks in males were observed for lung, larynx, and liver cancers. Among female agricultural workers there was an increased risk of pancreatic cancer (HR = 1.36, 95% CI = 1.07–1.72). Increased risks of melanoma (HR = 1.79, 95% CI = 1.17–2.73), leukemia (HR = 2.01, 95% CI = 1.24–3.25) and multiple myeloma (HR = 2.25, 95% CI = 1.16–4.37) were observed in a subset of female crop farmers. Conclusions Exposure to pesticides may have contributed to increased risks of hematopoietic cancers, while increased risks of lip cancer and melanoma may be attributed to sun exposure. The array of decreased risks suggests reduced smoking and alcohol consumption in this occupational group compared to the general population.

scholarly journals Associations of Dietary Patterns with Incident Depression: The Maastricht Study

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 1034
Author(s):  
Vincenza Gianfredi ◽  
Annemarie Koster ◽  
Anna Odone ◽  
Andrea Amerio ◽  
Carlo Signorelli ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Dietary Patterns ◽  
Proportional Hazards ◽  
A Priori ◽  
Preventive Measure ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Healthy Diet ◽  
Patient Health

Our aim was to assess the association between a priori defined dietary patterns and incident depressive symptoms. We used data from The Maastricht Study, a population-based cohort study (n = 2646, mean (SD) age 59.9 (8.0) years, 49.5% women; 15,188 person-years of follow-up). Level of adherence to the Dutch Healthy Diet (DHD), Mediterranean Diet, and Dietary Approaches To Stop Hypertension (DASH) were derived from a validated Food Frequency Questionnaire. Depressive symptoms were assessed at baseline and annually over seven-year-follow-up (using the 9-item Patient Health Questionnaire). We used Cox proportional hazards regression analyses to assess the association between dietary patterns and depressive symptoms. One standard deviation (SD) higher adherence in the DHD and DASH was associated with a lower hazard ratio (HR) of depressive symptoms with HRs (95%CI) of 0.78 (0.69–0.89) and 0.87 (0.77–0.98), respectively, after adjustment for sociodemographic and cardiovascular risk factors. After further adjustment for lifestyle factors, the HR per one SD higher DHD was 0.83 (0.73–0.96), whereas adherence to Mediterranean and DASH diets was not associated with incident depressive symptoms. Higher adherence to the DHD lowered risk of incident depressive symptoms. Adherence to healthy diet could be an effective non-pharmacological preventive measure to reduce the incidence of depression.

scholarly journals How long does it take patients to find a new primary care physician when theirs retires: a population-based, longitudinal study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lindsay Hedden ◽  
Megan A. Ahuja ◽  
M. Ruth Lavergne ◽  
Kimberlyn M. McGrail ◽  
Michael R. Law ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Physician ◽  
Rural Areas ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Care Physician ◽  
Potential Threat ◽  
Patient Age ◽  
Patient Âgé

Abstract Background The retirement of a family physician can represent a challenge in accessibility and continuity of care for patients. In this population-based, longitudinal cohort study, we assess whether and how long it takes for patients to find a new majority source of primary care (MSOC) when theirs retires, and we investigate the effect of demographic and clinical characteristics on this process. Methods We used provincial health insurance records to identify the complete cohort of patients whose majority source of care left clinical practice in either 2007/2008 or 2008/2009 and then calculated the number of days between their last visit with their original MSOC and their first visit with their new one. We compared the clinical and sociodemographic characteristics of patients who did and did not find a new MSOC in the three years following their original physician’s retirement using Chi-square and Fisher’s exact test. We also used Cox proportional hazards models to determine the adjusted association between patient age, sex, socioeconomic status, location and morbidity level (measured using Johns Hopkins’ Aggregated Diagnostic Groupings), and time to finding a new primary care physician. We produce survival curves stratified by patient age, sex, income and morbidity. Results Fifty-four percent of patients found a new MSOC within the first 12 months following their physician’s retirement. Six percent of patients still had not found a new physician after 36 months. Patients who were older and had higher levels of morbidity were more likely to find a new MSOC and found one faster than younger, healthier patients. Patients located in more urban regional health authorities also took longer to find a new MSOC compared to those in rural areas. Conclusions Primary care physician retirements represent a potential threat to accessibility; patients followed in this study took more than a year on average to find a new MSOC after their physician retired. Providing programmatic support to retiring physicians and their patients, as well as addressing shortages of longitudinal primary care more broadly could help to ensure smoother retirement transitions.

Inter-pregnancy interval and later pediatric cardiovascular health of the offspring – a population-based cohort study

2020 ◽  
pp. 1-5
Author(s):  
Majdi Imterat ◽  
Tamar Wainstock ◽  
Eyal Sheiner ◽  
Gali Pariente
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cardiovascular Morbidity ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Kaplan Meier ◽  
Inter Pregnancy Interval

Abstract Recent evidence suggests that a long inter-pregnancy interval (IPI: time interval between live birth and estimated time of conception of subsequent pregnancy) poses a risk for adverse short-term perinatal outcome. We aimed to study the effect of short (<6 months) and long (>60 months) IPI on long-term cardiovascular morbidity of the offspring. A population-based cohort study was performed in which all singleton live births in parturients with at least one previous birth were included. Hospitalizations of the offspring up to the age of 18 years involving cardiovascular diseases and according to IPI length were evaluated. Intermediate interval, between 6 and 60 months, was considered the reference. Kaplan–Meier survival curves were used to compare the cumulative morbidity incidence between the groups. Cox proportional hazards model was used to control for confounders. During the study period, 161,793 deliveries met the inclusion criteria. Of them, 14.1% (n = 22,851) occurred in parturient following a short IPI, 78.6% (n = 127,146) following an intermediate IPI, and 7.3% (n = 11,796) following a long IPI. Total hospitalizations of the offspring, involving cardiovascular morbidity, were comparable between the groups. The Kaplan–Meier survival curves demonstrated similar cumulative incidences of cardiovascular morbidity in all groups. In a Cox proportional hazards model, short and long IPI did not appear as independent risk factors for later pediatric cardiovascular morbidity of the offspring (adjusted HR 0.97, 95% CI 0.80–1.18; adjusted HR 1.01, 95% CI 0.83–1.37, for short and long IPI, respectively). In our population, extreme IPIs do not appear to impact long-term cardiovascular hospitalizations of offspring.

Development and Validation of a Prognostic Nomogram Model for Recurrence of Non-Muscle Invasive Bladder Cancer

2021 ◽  
Author(s):  
Sanhe Liu ◽  
Yongzhi Li ◽  
Diansheng Cui ◽  
Yuexia Jiao ◽  
Liqun Duan ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Risk Stratification ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Muscle Invasive Bladder Cancer ◽  
Clinicopathologic Characteristics ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Muscle Invasive

Abstract BackgroundDifferent recurrence probability of non-muscle invasive bladder cancer (NMIBC) requests different adjuvant treatments and follow-up strategies. However, there is no simple, intuitive, and generally accepted clinical recurrence predictive model available for NMIBC. This study aims to construct a predictive model for the recurrence of NMIBC based on demographics and clinicopathologic characteristics from two independent centers. MethodsDemographics and clinicopathologic characteristics of 511 patients with NMIBC were retrospectively collected. Recurrence free survival (RFS) was estimated using the Kaplan-Meier method and log-rank tests. Univariate Cox proportional hazards regression analysis was used to screen variables associated with RFS, and a multivariate Cox proportional hazards regression model with a stepwise procedure was used to identify those factors of significance. A final nomogram model was built using the multivariable Cox method. The performance of the nomogram model was evaluated with respect to its calibration, discrimination, and clinical usefulness. Internal validation was assessed with bootstrap resampling. X-tile software was used for risk stratification calculated by the nomogram model. ResultsIndependent prognostic factors including tumor stage, recurrence status, and European Association of Urology (EAU) risk stratification group were introduced to the nomogram model. The model showed acceptable calibration and discrimination (area under the receiver operating characteristic [ROC] curve was 0.85; the consistency index [C-index] was 0.79 [95% CI: 0.76 to 0.82]), which was superior to the EAU risk stratification group alone. The decision curve also proved well clinical usefulness. Moreover, all populations could be stratified into three distinct risk groups by the nomogram model. ConclusionsWe established and validated a novel nomogram model that can provide individual prediction of RFS for patients with NMIBC. This intuitively prognostic nomogram model may help clinicians in postoperative treatment and follow-up decision-making.

The Longitudinal Association of Vision Impairment with Transitions to Cognitive Impairment and Dementia: Findings from The Aging, Demographics and Memory Study

2021 ◽  
Author(s):  
Joshua R Ehrlich ◽  
Bonnielin K Swenor ◽  
Yunshu Zhou ◽  
Kenneth M Langa
Keyword(s):  
Visual Acuity ◽  
Logistic Regression ◽  
Cognitive Impairment ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Vision Impairment ◽  
Logistic Regression Models ◽  
Cox Proportional Hazards Models ◽  
Longitudinal Association

Abstract Background Vision impairment (VI) is associated with incident cognitive decline and dementia. However, it is not known whether VI is associated only with the transition to cognitive impairment, or whether it is also associated with later transitions to dementia. Methods We used data from the population-based Aging, Demographics and Memory Study (ADAMS) to investigate the association of visual acuity impairment (VI; defined as binocular presenting visual acuity &lt;20/40) with transitions from cognitively normal (CN) to cognitive impairment no dementia (CIND) and from CIND to dementia. Multivariable Cox proportional hazards models and logistic regression were used to model the association of VI with cognitive transitions, adjusted for covariates. Results There were 351 participants included in this study (weighted percentages: 45% male, 64% age 70-79 years) with a mean follow-up time of 4.1 years. In a multivariable model, the hazard of dementia was elevated among those with VI (HR=1.63, 95%CI=1.04-2.58). Participants with VI had a greater hazard of transitioning from CN to CIND (HR=1.86, 95%CI=1.09-3.18). However, among those with CIND and VI a similar percentage transitioned to dementia (48%) and remained CIND (52%); there was no significant association between VI and transitioning from CIND to dementia (HR=0.94, 95%CI=0.56-1.55). Using logistic regression models, the same associations between VI and cognitive transitions were identified. Conclusions Poor vision is associated with the development of CIND. The association of VI and dementia appears to be due to the higher risk of dementia among individuals with CIND. Findings may inform the design of future interventional studies.

Diet Inflammatory Index and Dementia Incidence: A Population-Based Study

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012973
Author(s):  
Sokratis Charisis ◽  
Eva Ntanasi ◽  
Mary Yannakoulia ◽  
Costas A Anastasiou ◽  
Mary H Kosmidis ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Community Dwelling ◽  
Dietary Interventions ◽  
Clinical Criteria ◽  
Inflammatory Index ◽  
Incident Dementia ◽  
Dementia Incidence ◽  
Increased Risk

Background and objectives:Aging is characterized by a functional shift of the immune system towards a proinflammatory phenotype. This derangement has been associated with cognitive decline and has been implicated in the pathogenesis of dementia. Diet can modulate systemic inflammation; thus, it may be a valuable tool to counteract the associated risks for cognitive impairment and dementia. The present study aimed to explore the associations between the inflammatory potential of diet, assessed using an easily applicable, population-based, biomarker-validated diet inflammatory index (DII), and the risk for dementia in community-dwelling older adults.Methods:Individuals from the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD) were included in the present cohort study. Participants were recruited through random population sampling, and were followed for a mean of 3.05 (SD=0.85) years. Dementia diagnosis was based on standard clinical criteria. Those with baseline dementia and/or missing cognitive follow-up data were excluded from the analyses. The inflammatory potential of diet was assessed through a DII score which considers literature-derived associations of 45 food parameters with levels of pro- and anti-inflammatory cytokines in the blood; higher values indicated a more pro-inflammatory diet. Consumption frequencies were derived from a detailed food frequency questionnaire, and were standardized to representative dietary intake normative data from 11 different countries. Analysis of dementia incidence as a function of baseline DII scores was performed by Cox proportional hazards models.Results:Analyses included 1059 individuals (mean age=73.1 years; 40.3% males; mean education=8.2 years), 62 of whom developed incident dementia. Each additional unit of DII was associated with a 21% increase in the risk for dementia incidence [HR=1.21 (1.03 – 1.42); p=0.023]. Compared to participants in the lowest DII tertile, participants in the highest one (maximal pro-inflammatory diet potential) were 3 [(1.2 – 7.3); p=0.014] times more likely to develop incident dementia. The test for trend was also significant, indicating a potential dose-response relationship (p=0.014).Conclusions:In the present study, higher DII scores (indicating greater pro-inflammatory diet potential) were associated with an increased risk for incident dementia. These findings might avail the development of primary dementia preventive strategies through tailored and precise dietary interventions.

Sign in / Sign up

Export Citation Format

Share Document