scholarly journals Is athletic background associated with a future lower prevalence of risk factors for chronic disease?

2014 ◽  
Vol 12 (2) ◽  
pp. 47-54 ◽  
Author(s):  
Cristiano H.X. Batista ◽  
José M. Soares
2015 ◽  
Vol 20 (3) ◽  
pp. 713-725 ◽  
Author(s):  
Deborah Carvalho Malta ◽  
Lenildo de Moura ◽  
Regina Tomie Ivata Bernal

This article aims to analyze the differences between the prevalence of risk factors of non-communicable chronic disease by race/color. It is a cross-sectional study using data from a telephone survey of 45,448 adults. Prevalence ratios for chronic disease risk factors by race/color were calculated. After adjustments were made for education and income, race/color differences persisted. Among afro-descendant and mulatto women and mulatto men a higher prevalence ratio was identified of physical activity at work and physical activity at home. Afro-descendant women and mulatto men indulged in less physical inactivity. Mulatto men and women showed a lower prevalence of smoking and consumption of 20 cigarettes daily and lower consumption of fruit and vegetables. A higher consumption of full-fat milk with and beans was observed among afro-descendant and mulatto men. Afro-descendant women had a lower prevalence of drinking and driving. Afro-descendant women and men ate more meat with fat and afro-descendant men suffered more from hypertension. Differences in risk factors by race/color can be explained by cultural aspects, by not fully adjustable socioeconomic differences that determine less access to goods and less opportunities for the afro-descendant population.


1994 ◽  
Vol 10 (6) ◽  
pp. 367-371 ◽  
Author(s):  
Carol Friedman ◽  
Ross C. Brownson ◽  
Dan E. Peterson ◽  
Joan C. Wilkerson

Author(s):  
K. . Togawa

Agricultural workers can be exposed to a wide variety of agents (e.g. pesticides), some of which may have adverse health effects, such as cancer. To study the health effects of agricultural exposures, an international consortium of agricultural cohort studies, AGRICOH, was established. The present analysis compared cancer incidence between the AGRICOH cohorts and the general population and found lower overall cancer incidence in the AGRICOH cohorts, with some variation across cohorts for specific cancer types. The observed lower cancer incidence may be due to healthy worker bias or lower prevalence of risk factors in the agricultural populations. Further analysis is underway.


Heart ◽  
2020 ◽  
pp. heartjnl-2020-317901
Author(s):  
SungA Bae ◽  
So Ree Kim ◽  
Mi-Na Kim ◽  
Wan Joo Shim ◽  
Seong-Mi Park

ObjectivePrevious studies that evaluated cardiovascular risk factors considered age as a potential confounder. We aimed to investigate the impact of cardiovascular disease (CVD) and its risk factors on fatal outcomes according to age in patients with COVID-19.MethodsA systematic literature review and meta-analysis was performed on data collected from PubMed and Embase databases up to 11 June 2020. All observational studies (case series or cohort studies) that assessed in-hospital patients were included, except those involving the paediatric population. Prevalence rates of comorbid diseases and clinical outcomes were stratified by mean patient age in each study (ranges: <50 years, 50–60 years and ≥60 years). The primary outcome measure was a composite fatal outcome of severe COVID-19 or death.ResultsWe included 51 studies with a total of 48 317 patients with confirmed COVID-19 infection. Overall, the relative risk of developing severe COVID-19 or death was significantly higher in patients with risk factors for CVD (hypertension: OR 2.50, 95% CI 2.15 to 2.90; diabetes: 2.25, 95% CI 1.89 to 2.69) and CVD (3.11, 95% 2.55 to 3.79). Younger patients had a lower prevalence of hypertension, diabetes and CVD compared with older patients; however, the relative risk of fatal outcomes was higher among the former.ConclusionsThe results of the meta-analysis suggest that CVD and its risk factors (hypertension and diabetes) were closely related to fatal outcomes in COVID-19 for patients across all ages. Although young patients had lower prevalence rates of cardiovascular comorbidities than elderly patients, relative risk of fatal outcome in young patients with hypertension, diabetes and CVD was higher than in elderly patients.Prospero registration numberCRD42020198152.


2019 ◽  
Vol 49 (1) ◽  
pp. 113-130 ◽  
Author(s):  
Ryan Ng ◽  
Rinku Sutradhar ◽  
Zhan Yao ◽  
Walter P Wodchis ◽  
Laura C Rosella

AbstractBackgroundThis study examined the incidence of a person’s first diagnosis of a selected chronic disease, and the relationships between modifiable lifestyle risk factors and age to first of six chronic diseases.MethodsOntario respondents from 2001 to 2010 of the Canadian Community Health Survey were followed up with administrative data until 2014 for congestive heart failure, chronic obstructive respiratory disease, diabetes, lung cancer, myocardial infarction and stroke. By sex, the cumulative incidence function of age to first chronic disease was calculated for the six chronic diseases individually and compositely. The associations between modifiable lifestyle risk factors (alcohol, body mass index, smoking, diet, physical inactivity) and age to first chronic disease were estimated using cause-specific Cox proportional hazards models and Fine-Gray competing risk models.ResultsDiabetes was the most common disease. By age 70.5 years (2015 world life expectancy), 50.9% of females and 58.1% of males had at least one disease and few had a death free of the selected diseases (3.4% females; 5.4% males). Of the lifestyle factors, heavy smoking had the strongest association with the risk of experiencing at least one chronic disease (cause-specific hazard ratio = 3.86; 95% confidence interval = 3.46, 4.31). The lifestyle factors were modelled for each disease separately, and the associations varied by chronic disease and sex.ConclusionsWe found that most individuals will have at least one of the six chronic diseases before dying. This study provides a novel approach using competing risk methods to examine the incidence of chronic diseases relative to the life course and how their incidences are associated with lifestyle behaviours.


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