scholarly journals 97P A population-based study to assess the associations of rural residence and low socioeconomic status (SES) with cardiovascular disease (CVD) in patients with colorectal cancer (CRC)

2020 ◽  
Vol 31 ◽  
pp. S1279-S1280
Author(s):  
A. Batra ◽  
S. Kong ◽  
R. Rigo ◽  
W.Y. Cheung
Keyword(s):  
Colorectal Cancer ◽  
Cardiovascular Disease ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Population Based ◽  
Rural Residence ◽  
Population Based Study ◽  
Low Socioeconomic

Associations of Socioeconomic Status and Rurality With New-Onset Cardiovascular Disease in Cancer Survivors: A Population-Based Analysis

2021 ◽  
pp. OP.20.01053
Author(s):  
Atul Batra ◽  
Shiying Kong ◽  
Winson Y. Cheung
Keyword(s):  
Cardiovascular Disease ◽  
Socioeconomic Status ◽  
Cancer Survivors ◽  
Low Socioeconomic Status ◽  
Low Income ◽  
Population Based ◽  
Rural Residence ◽  
Low Socioeconomic ◽  
New Onset

PURPOSE: Patients with cancer are predisposed to develop new-onset cardiovascular disease (CVD). We aimed to assess if rural residence and low socioeconomic status modify such a risk. METHODS: Patients diagnosed with solid organ cancers without any baseline CVD and on a follow-up of at least 1 year in a large Canadian province from 2004 to 2017 were identified using the population-based registry. We performed logistic regression analyses to examine the associations of rural residence and low socioeconomic status with the development of CVD. RESULTS: We identified 81,418 patients eligible for the analysis. The median age was 62 years, and 54.3% were women. At a median follow-up of 68 months, 29.4% were diagnosed with new CVD. The median time from cancer diagnosis to CVD diagnosis was 29 months. Rural patients (32.3% v 28.5%; P < .001) and those with low income (30.4% v 25.9%; P < .001) or low educational attainment (30.7% v 27.6%; P < .001) experienced higher rates of CVD. After adjusting for baseline factors and treatment, rural residence (odds ratio [OR], 1.07; 95% CI, 1.04 to 1.11; P < .001), low income (OR, 1.17; 95% CI, 1.12 to 1.21; P < .001), and low education (OR, 1.08; 95% CI, 1.04 to 1.11; P < .001) continued to be associated with higher odds of CVD. A multivariate Cox regression model showed that patients with low socioeconomic status were more likely to die, but patients residing rurally were not. CONCLUSION: Despite universal health care, marginalized populations experience different CVD risk profiles that should be considered when operationalizing lifestyle modification strategies and cardiac surveillance programs for the growing number of cancer survivors.

scholarly journals How Does Low Socioeconomic Status Increase Blood Lead Levelsin KoreanChildren?

2018 ◽  
Vol 15 (7) ◽  
pp. 1488 ◽  
Author(s):  
Eunjung Kim ◽  
Ho-jang Kwon ◽  
Mina Ha ◽  
Ji-Ae Lim ◽  
Myung Lim ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Environmental Factors ◽  
Low Socioeconomic Status ◽  
Structural Equation ◽  
Blood Lead ◽  
Population Based ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Korean Children ◽  
Low Socioeconomic

Although studies have shown that a low socioeconomic status (SES) is associated with high blood lead levels (BLLs) in children, the mechanism underlying this observation is not well known. To determine how SES influences BLLs via environmental factors in Korean children, we conducted a population-based cross-sectional study of 4744 children aged 5–13 years. Questionnaires on sociodemographic information, environmental factors, and food consumption were administered to the children’s parents. BLLs in the study subjects were measured.The complete set of hypothesized associations was assessed using regression analysis and structural equation modeling. SES was associated with high BLLs. The total effects of nutritional factors, lead in the air and total length of nearby roads, and agriculture on BLLs were −0.062 (p < 0.001), 0.068 (p = 0.005), and 0.038 (p = 0.035), respectively. The direct effects of playing outdoors and SES on BLLs were 0.113 (p < 0.001) and −0.111 (p < 0.001), respectively. Although playing outdoors had a greater direct effect on BLLs than did SES, the total effect of SES (standardized β = −0.132, p < 0.001) was greater than that of other sources owing to indirect effects (β = −0.020, p = 0.004). A low SES was a major risk factor for elevated BLLs via environmental factors.

PSYCHOSOCIOECONOMIC PRECARIOUSNESS AND FRAILTY: THE RESPECTIVE CONTRIBUTION IN PREDICTING MORTALITY

2018 ◽  
pp. 1-6
Author(s):  
C. Ouvrard ◽  
C. Meillon ◽  
J.-F. Dartigues ◽  
M. Tabue Teguo ◽  
J.A. Avila-Funes ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Old Age ◽  
Low Socioeconomic Status ◽  
Population Based ◽  
Mortality Prediction ◽  
Low Socioeconomic ◽  
Risk Of Death ◽  
Prediction Of Mortality ◽  
Psychosocial Vulnerability ◽  
Respective Contribution

Background: Low socioeconomic status and frailty are factors of vulnerability in old age. They are both well-known risk factors of death. On the other hand, low socioeconomic status has been reported as a predictor of frailty, which questions the relationship between socioeconomic status, frailty and death. Objectives: The aim of this work was to explore the respective contribution of psychosocioeconomic precariousness – which covers socioeconomic status and also psychosocial vulnerability – and frailty in predicting mortality. Design: Prospective population-based study. Setting: Three-City (3C) Bordeaux study, France. Participants: The sample consisted of 1586 subjects aged 65 or older. Measurements: Psychosocioeconomic precariousness was assessed utilizing a structured instrument which assessed poor socioeconomic status, and psychosocial vulnerability. Frailty status was defined by Fried’s phenotype. Results: After 14 years of follow-up, 665 deaths (42%) occurred. Psychosocioeconomic precariousness and frailty had both an independent contribution to mortality prediction (hazard ratio (HR) 1.51 (95% confidence interval (CI) 1.11-2.07)) and (HR 1.68 (95% CI 1.19-2.38)), respectively. Such relationships were adjusted for age, sex, disability, and comorbidities. No interaction term was found between precariousness and frailty. Conclusions: If psychosocioeconomic precariousness and frailty are both aspects of vulnerability in old age, they have a non-overlapping contribution in the prediction of mortality. These findings emphasize the importance of considering both psychosocioeconomic precariousness and frailty when identifying elderly people at risk of death.

scholarly journals Low Socioeconomic Status Over 12 Years and Subclinical Cardiovascular Disease

Stroke ◽  
2014 ◽  
Vol 45 (4) ◽  
pp. 954-960 ◽  
Author(s):  
Rebecca C. Thurston ◽  
Samar R. El Khoudary ◽  
Carol A. Derby ◽  
Emma Barinas-Mitchell ◽  
Tené T. Lewis ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Low Socioeconomic ◽  
Subclinical Cardiovascular Disease

Associations of rural residence and low socioeconomic status on the risk of new onset cardiovascular disease (CVD) in cancer patients.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 90-90
Author(s):  
Atul Batra ◽  
Shiying Kong ◽  
Rodrigo Rigo ◽  
Winson Y. Cheung
Keyword(s):  
Socioeconomic Status ◽  
Educational Attainment ◽  
Cancer Patients ◽  
Low Socioeconomic Status ◽  
Low Income ◽  
Low Ses ◽  
Rural Residence ◽  
Low Socioeconomic ◽  
Low Education

90 Background: Cancer patients are predisposed to CVD due to cancer treatments and shared risk factors (smoking/physical inactivity). We aimed to assess if rural residence and low socioeconomic status (SES) modify the risk of developing CVD. Methods: Patients diagnosed with non-metastatic solid organ cancers without baseline CVD in a large Canadian province from 2004 to 2017 were identified using the population-based registry. Postal codes were linked with Census data to determine rural residence as well as neighborhood-level income and educational attainment. Low income was defined as <46000 CAD/annum; low education was defined as a neighborhood in which <80% attended high school. Myocardial infarction, congestive heart failure, arrythmias and cerebrovascular accident constituted as CVD.We performed logistic regression analyses to examine the associations of rural residence and low SES with the development of CVD, adjusting for measured confounding variables. Results: We identified 81,275 patients diagnosed with cancer without pre-existing CVD. The median age was 62 years and 54.2% were women. The most prevalent cancer types included breast (28.6%), prostate (23.1%), and colorectal (14.9%). At a median follow-up of 68 months, 29.4% were diagnosed with new CVD. The median time from cancer diagnosis to CVD was 29 months. Rural patients (32.3 vs 28.4%,P < .001) and those with low income (30.4% vs 25.9%,P < .001) or low educational attainment (30.7% vs 27.6%,P < .001) experienced higher rates of CVD. After adjusting for baseline factors and treatment, rural residence (odds ratio[OR], 1.07; 95% confidence interval[CI], 1.04-1.11;P < .001), low income (OR,1.17;95%CI,1.12-1.21;P < .001) and low education (OR,1.08;95%CI,1.04-1.11;P < .001) continued to associate with higher odds of CVD. Further, patients with colorectal cancer were more likely to develop CVD compared with other tumors (OR,1.12;95% CI,1.04-1.16;P = .001). A multivariate Cox regression model showed that patients with low SES were more likely to die, but patients residing rurally were not. Conclusions: Approximately one-third of cancer survivors develop CVD on follow-up. Despite universal healthcare, marginalized populations experience different CVD risk profiles that should be considered when operationalizing lifestyle modification strategies and cardiac surveillance programs. [Table: see text]

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