scholarly journals Malnutrition and cardiovascular risk in haemodialysis patients with chronic kidney disease

2019 ◽  
Vol 32 ◽  
Author(s):  
Iziane da Silva ANDRADE ◽  
Carla de Magalhães CUNHA ◽  
Beatriz Passos de BRITO ◽  
Fabiana Chagas Oliveira de FRANÇA ◽  
Lucivalda Pereira Magalhães de OLIVEIRA
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Nutritional Status ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Former Smokers

ABSTRACT Objective To verify the association between nutritional status and traditional and non-traditional cardiovascular risk factors in haemodialysis patients. Methods A cross-sectional study with 132 patients over 18 years of age on haemodialysis to evaluate nutritional status through Subjective Global Assessment. Information on traditional and non-traditional cardiovascular disease risk factors were obtained using a structured questionnaire; the Framingham score was also used to assess cardiovascular risk. Data analysis was performed using the Chi-square Test or Fischer Exact Test and a Log-binomial Regression Model. Results Malnutrition affected 31.1% of patients. Among them, a higher percentage of smokers (p=0.016), former smokers (p=0.034) and diabetes Mellitus patients (p=0.001) were detected. Malnutrition was found to be 4.53 times more prevalent in diabetic individuals (95%CI: 1.99-10.27) and 2.26 times more prevalent among former smokers (95%CI: 1.04-4.95). Malnourished individuals exhibited a 4.03 times prevalence of moderate to severe cardiovascular risk. Conclusion A high prevalence of malnutrition and of other risk factors for cardiovascular disease were observed. Such factors included diabetes Mellitus, smoking and former smoker conditions and were associated with malnutrition. Inaddition, it was found that malnourished individuals were more likely to develop cardiovascular disease within 10 years.

Prevalence and awareness of cardiovascular risk factors in patients with schizophrenia: A cross-sectional study in a low cardiovascular disease risk geographical area

2009 ◽  
Vol 24 (7) ◽  
pp. 431-441 ◽  
Author(s):  
M. Bernardo ◽  
F. Cañas ◽  
J.R. Banegas ◽  
J. Casademont ◽  
Y. Riesgo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Geographical Area ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

AbstractObjectivePrevalence of cardiovascular disease is high in schizophrenia. Our aim is to estimate the prevalence of cardiovascular risk factors (CVRF) among schizophrenia patients.MethodNational cross-sectional study in patients diagnosed with schizophrenia under treatment with second generation antipsychotics and admitted to short-stay hospitalisation units.ResultsA sample of 733 consecutively admitted patients was enrolled; the most prevalent CVRFs were smoking 71% (95% CI: 67–74%) and hypercholesterolemia 66% (61–70%) followed by hypertriglyceridemia 26% (26–32%), hypertension 18% (15–21%) and diabetes 5% (4–7%). Metabolic syndrome showed 19% (95% CI: 16–23%) prevalence or, according to updated definitions (Clin Cornerstone 7 [2005] 36–45), 24% (95% CI: 20–28%). The rate of patients within the high-risk range of a 10-year fatal cardiovascular event was 6.5%. CVRFs under routine management were diabetes (60%), hypertension (28%) and, to a lesser extent, dyslipemia (14%). Treatment for CVRFs was associated to gender, men for hypertension OR = 25.34, p < 0.03 and women for diabetes OR = 0.02, p < 0.03.ConclusionWe found that CVRFs in schizophrenia were prevalent and under-diagnosed, and thus with insufficient therapeutic management.

scholarly journals Cardiovascular Disease Risk Factors: Hypertension, Diabetes Mellitus and Obesity among Tabuk Citizens in Saudi Arabia

2018 ◽  
Vol 12 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Jeneth Gutierrez ◽  
Aladeen Alloubani ◽  
Mohammad Mari ◽  
Mohammad Alzaatreh
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Saudi Arabia ◽  
Disease Risk ◽  
Public Awareness ◽  
Cardiovascular Disease Risk ◽  
Cross Sectional ◽  
Obesity And Overweight ◽  
Cross Sectional Design

Background:Cardiovascular Disease (CVD) is considered as the main cause of death worldwide. Identifying the links among CVDs risk factors can help decrease CVD-related deaths.Aim:To assess the prevalence of risk factors for CVD and their relationships among the Tabuk City population in Saudi Arabia.Methods:A cross-sectional design was used; 432 participants in the Tabuk region were included in this study.Results:The prevalence of diabetes mellitus (DM) was 5.6%, the prevalence of hypertension (HTN) was 11.1% and obesity and overweight together were 69.9%. Mean Body Mass Index (BMI), HTN, and DM increased with age. There was a correlation between BMI with HTN (r=.200, p<.001), BMI and DM (r=.149, p<.001) and DM and HTN (r=.366, p<.001).Conclusion:Public awareness may help in reducing the prevalence of CVD.

scholarly journals Nurse Health: The Influence of Chronotype and Shift Timing

2020 ◽  
Vol 42 (12) ◽  
pp. 1031-1041 ◽  
Author(s):  
Beverly M. Hittle ◽  
Claire C. Caruso ◽  
Holly J. Jones ◽  
Amit Bhattacharya ◽  
Joshua Lambert ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Sleep Quality ◽  
Disease Risk ◽  
Interaction Analysis ◽  
Cardiovascular Disease Risk ◽  
Cross Sectional Study ◽  
Cardiovascular Disease Risk Factors ◽  
Cross Sectional ◽  
Disease Risks

Extreme chronotype and circadian disrupting work hours may increase nurse disease risks. This national, cross-sectional study of nurses ( N = 527) had three hypotheses. When chronotype and shift times are incongruent, nurses will experience increased likelihood of (1) obesity, (2) cardiovascular disease/risk factors, and (3) obesity or cardiovascular disease/risk factors when theoretically linked variables exist. Chronotype mismatched nurses’ ( n = 206) average sleep (6.1 hours, SD = 1.2) fell below 7–9 hours/24-hours sleep recommendations. Proportion of male nurses was significantly higher chronotype mismatched (12.3%) than matched (6.3%). Analyses found no direct relationship between chronotype match/mismatch with outcome variables. Exploratory interaction analysis demonstrated nurses with mismatched chronotype and above average sleep quality had an estimated 3.51 times the adjusted odds (95% CI 1.52,8.17; p = .003) of being obese. Although mechanism is unclear, this suggests sleep quality may be intricately associated with obesity. Further research is needed to inform nurses on health risks from disrupted sleep, chronotypes, and shift work.

Sign in / Sign up

Export Citation Format

Share Document