scholarly journals PREVALENCE OF CARDIOVASCULAR DISEASE RISK FACTORSIN SEMI-URBAN COMMUNITIES OF NORTH-CENTRAL NIGERIA

2020 ◽  
Vol 8 (12) ◽  
pp. 338-345
Author(s):  
Joshua Eyitemi ◽  
◽  
Richmond Namuna ◽  
Osaze Uduebor ◽  
Michael Nwachukwu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Fasting Blood Glucose ◽  
Geographical Location ◽  
Cardiovascular Disease Risk Factors ◽  
Cross Sectional ◽  
North Central

Background:Several studies have estimated the prevalence of cardiovascular disease risk factors (CRFs) in various communities in Nigeria. However, few have investigated the prevalence patterns in semi-urban communitiesof North-Central Nigeria. We aim to determine the prevalence patterns of CRFs in this geographical location, as a result of the growing incidence of Sudden Cardiac Death (SCD) and Heart Failure (HF) in Nigeria. Methods:A cross-sectional epidemiological study was conducted. The study was conducted across nine (9) local government councils in the southern part of Benue state, one of the six (6) states that make up the North-Central region of Nigeria. Overall, 108 participants aged > 18 years participated in the study. Risk factors were estimated by collecting information about the participants age, weight, height, Body Mass Index (BMI), waist circumference, waist-hip ratio, systolic blood pressure, diastolic blood pressure, total cholesterol,HDL-cholesterol, triglyceride cholesterol, LDL-cholesterol, and fasting blood glucose. Questionnaires, results of laboratory and instrumental diagnosis were used to collect information about the variables. Results:The overall mean of age was 50.35 ± 22.02 years. Findings showed that the prevalence of the examined cardiovascular disease risk factors was as follows: hypertension – 55(52.4%), generalized obesity (BMI > 30) – 10(9.26%)abdominal obesity –35 (32.4%) diabetes –9 (8.3%), hypercholesterolemia – 17(15.7%). The result also indicated an increase in the prevalence of hypertension with an increase in age the indices of obesity increased significantly with age but later decreased slightly among the elderly. Conclusion:Findings from the study revealed that about half of the population were hypertensive. Other key risk factors were also prevalent in this population. There is a call on relevant stakeholders for important preventive and control initiatives for awareness, as this population is at high risk of the complications that arise from the underlying disease conditions.

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.

Relationship of Blood Pressure and Cardiovascular Disease Risk Factors in Normotensive Middle-Aged Men

Medicine ◽  
2011 ◽  
Vol 90 (5) ◽  
pp. 344-349 ◽  
Author(s):  
Dee Pei ◽  
Yen-Lin Chen ◽  
Sai-Hung Tang ◽  
Chung-Ze Wu ◽  
Jiunn-Diann Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cardiovascular Disease Risk Factors ◽  
Middle Aged ◽  
Relationship Of

PW229 Civil status and cardiovascular disease risk factors in rural north central nigeria

Global Heart ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e304
Author(s):  
Basil N. Okeahialam ◽  
Chika Ogbonna ◽  
Evelyn K. Chuhwak ◽  
Ikechukwu Isiguzoro ◽  
Hadiza A. Agbo
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cardiovascular Disease Risk Factors ◽  
North Central ◽  
Civil Status

scholarly journals Association between serum uric acid and cardiovascular disease risk factors in adolescents in America: 2001-2018

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0254590
Author(s):  
Qiqi Shi ◽  
Ran Wang ◽  
Huifeng Zhang ◽  
Yaping Shan ◽  
Ming Ye ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cross Sectional Study ◽  
Cardiovascular Disease Risk Factors ◽  
Cvd Risk ◽  
Cross Sectional ◽  
High Tc ◽  
Low Hdl

SUA is associated with cardiovascular disease and cardiovascular disease risk factors in adults, including chronic kidney disease, coronary artery disease, stroke, diabetes mellitus, preeclampsia, and hypertension. A cross-sectional study was carried out among 11219 adolescents 12 to 18 years of age examined in the 2001–2018 National health and Nutrition Examination Survey. We examined the association between SUA and CVD risk factors. The overall mean SUA level was 5.00±1.24mg/dl. Restricted cubic spline analysis results revealed SUA was inversely associated with HDL-C and SPISE and positively associated with TC, TG, LDL-C, nonHDL-C, insulin, SBP and DBP after full adjustment. Multiple logistic analyses showed SUA level was independently associated with high TC, high TG, high nonHDL-C and low HDL-C (all p<0.05). Furthermore, females in the highest quartile of SUA had significantly higher odds for elevated BP (OR = 2.38, 95%CI:1.02–5.54, P<0.05) and high TC (OR = 2.22, 95%CI: 1.49–3.30, P<0.001), which not observed in males. Increased levels of SUA were associated with increased odds of various cardiovascular risk factors in American adolescents, especially females.

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