Nurse-assessed metabolic monitoring: A file audit of risk factor prevalence and impact of an intervention to enhance measurement of waist circumference

Background Obesity is a recognized risk factor for work-related injuries (WRI). Despite the inherent safety hazards associated with farm work, research on obesity among farmers is limited giving little guidance to occupational health providers on obesity as a risk factor in farm WRI. This study evaluated the association between obesity and farm WRI. Methods Cross-sectional data were collected from farmers ( n = 100) in Kentucky, Tennessee, and West Virginia. Data included a survey (demographic data, farm factors, health indicators, occurrences of work-related injuries consistent with the definition of Occupational Safety and Health Administration [OSHA] recordable injuries) and direct anthropometric measures (height, weight, and waist circumference). Logistic regression was used to model any work-related injury, injuries consistent with the definition of OSHA recordables (herein called OSHA-recordable injuries), and recurrent injuries occurring during farm work performance on body mass index (BMI) and waist circumference. Findings Twenty-five percent of the participants reported any injuries, and 18% reported OSHA-recordable injuries. Farmers with a BMI ≥30 kg/m2 had 3 times the risk for OSHA-recordable injuries and 5 times the risk for recurrent injuries. No significant relationship was identified between waist circumference and farm WRI. Conclusion This study provides evidence that increased BMI is a safety risk for farmers. Prospective studies with a larger sample are needed. Occupational health nurses and providers should educate farmers on the potential safety risk of obesity and implement weight management programs addressing obesity in farmers.

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Trends in cardiovascular risk factor prevalence among Lithuanian middle-aged adults between 2009 and 2018

Atherosclerosis ◽

10.1016/j.atherosclerosis.2020.02.025 ◽

2020 ◽

Vol 299 ◽

pp. 9-14

Author(s):

Aleksandras Laucevičius ◽

Egidija Rinkūnienė ◽

Žaneta Petrulionienė ◽

Ligita Ryliškytė ◽

Agnė Jucevičienė ◽

...

Keyword(s):

Risk Factor ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factor ◽

Middle Aged ◽

Risk Factor Prevalence ◽

Middle Aged Adults

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Comparing loneliness in England and the United States, 2014–2016: Differential item functioning and risk factor prevalence and impact

Social Science & Medicine ◽

10.1016/j.socscimed.2020.113467 ◽

2020 ◽

Vol 265 ◽

pp. 113467

Author(s):

Louise C. Hawkley ◽

Andrew Steptoe ◽

L. Philip Schumm ◽

Kristen Wroblewski

Keyword(s):

United States ◽

Risk Factor ◽

Differential Item Functioning ◽

The United States ◽

Risk Factor Prevalence ◽

Item Functioning

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Australian risk factor prevalence

The Medical Journal of Australia ◽

10.5694/j.1326-5377.1983.tb122532.x ◽

1983 ◽

Vol 2 (8) ◽

pp. 381-382 ◽

Cited By ~ 2

Author(s):

Stephen N. Hunyor ◽

Thomas Sheehan ◽

Gaston E. Bauer

Keyword(s):

Risk Factor ◽

Risk Factor Prevalence

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BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital out patients: a cross-sectional study

10.21203/rs.3.rs-66161/v2 ◽

2020 ◽

Author(s):

Rajan Shrestha ◽

Bijay Khatri ◽

Madan P. Upadhyay ◽

Janak R. Bhattarai ◽

Manish Kayastha ◽

...

Keyword(s):

Risk Factor ◽

Waist Circumference ◽

Low Income ◽

Cross Sectional Study ◽

Anthropometric Measurement ◽

Sectional Study ◽

Height Ratio ◽

Cross Sectional ◽

Obesity And Overweight ◽

Waist To Height Ratio

Abstract BackgroundObesity has become a global epidemic and an important risk factor for non-communicable diseases. Earlier thought to be a problem of developed world, it has now become a problem of low- and middle-income countries like Nepal. In absence of a routine surveillance or a registry system, the actual burden and trend of obesity in Nepal is unknown. Obesity and overweight are recognized risk factors for hypertension and associated with cardiovascular disease. The aim of the study was to find out burden of obesity, using three commonly employed metrics in hospital outpatient setting of a low-income country as predictors of hypertension, and compare ability of different anthropometric measurements through a non-inferiority study to predict hypertension.MethodsThis cross-sectional study was conducted among 40-69 years outpatients in a tertiary Eye and ENT hospital in a semi-urban area of Nepal among randomly selected 2,256 participants from 6,769 outpatients who were evaluated in Health Promotion and risk factor screening service. We did correlation analysis to determine the relationship between anthropometric measurement and blood pressure. The area under the Receiver Operating characteristic curve of Body Mass Index (BMI), Waist to Height Ratio (WHtR) and Waist Circumference (WC) was calculated and compared. ResultsThe prevalence of obesity and overweight by BMI was 16.09% and 42.20% respectively; by Waist-to-Height-Ratio was 32.76% which is two times higher than obesity measured by BMI. High waist circumference was observed among 66.76% participants. Female participants had greater prevalence of high WC (77.46%) than male (53.73%) (p<0.001). Prevalence of hypertension and pre-hypertension was 40.67% and 36.77% respectively. The areas under the curve were significantly higher than 0.5 for BMI (0.593), WHtR (0.602) and WC (0.610).ConclusionWaist circumference correlated well with obesity and hypertension. It also had higher predicting ability than WHtR and BMI to predict hypertension. Waist circumference thus proved to be non-inferior to two other commonly used metrics. It proved superior in detecting obesity in female. This simple and inexpensive tape measurement may play an important role in future diagnosis of obesity and prediction of HTN in resource constrained settings of developing countries.

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Risk Factor Prevalence and Their Relative Influence on Fatty Liver and Gallstone Disease: A Cross-Ethnic Study Comparing Two High-Risk Populations from Chile and Northeast Germany

Epidemiology - Open Journal ◽

10.17140/epoj-1-106 ◽

2016 ◽

Vol 1 (1) ◽

pp. 40-52 ◽

Cited By ~ 1

Author(s):

Peter J. Meffert ◽

◽

Maximilian A. Schwittay ◽

Markus M. Lerch ◽

Jochen Hampe ◽

...

Keyword(s):

Risk Factor ◽

High Risk ◽

Fatty Liver ◽

Gallstone Disease ◽

Relative Influence ◽

Ethnic Study ◽

Risk Factor Prevalence ◽

High Risk Populations

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Effect of Immunosuppressive Therapy on Cardiovascular Risk Factor Prevalence in Kidney-Transplanted Children: Comparative Study

Transplantation Proceedings ◽

10.1016/j.transproceed.2016.02.034 ◽

2016 ◽

Vol 48 (2) ◽

pp. 639-642 ◽

Cited By ~ 2

Author(s):

J.A. García-Bello ◽

E.G. Romo-Del Río ◽

E. Mendoza-Gómez ◽

P.A. Camarena-Arias ◽

M. Santos-Caballero

Keyword(s):

Risk Factor ◽

Cardiovascular Risk ◽

Comparative Study ◽

Immunosuppressive Therapy ◽

Cardiovascular Risk Factor ◽

Risk Factor Prevalence

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RACIAL AND ETHNIC DIFFERENCES IN CARDIOVASCULAR RISK FACTOR PREVALENCE AND AWARENESS

Canadian Journal of Cardiology ◽

10.1016/j.cjca.2014.07.541 ◽

2014 ◽

Vol 30 (10) ◽

pp. S305

Author(s):

E. Coomes ◽

L.R. Finken ◽

K.K. Quadros ◽

R.R. Bajaj ◽

W. Sharieff ◽

...

Keyword(s):

Risk Factor ◽

Cardiovascular Risk ◽

Ethnic Differences ◽

Cardiovascular Risk Factor ◽

Racial And Ethnic Differences ◽

Risk Factor Prevalence

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Abstract WP236: The Urban-Rural Divide: Risk Factor Prevalence in Ischemic Stroke Patients Across Two Decades

Stroke ◽

10.1161/str.51.suppl_1.wp236 ◽

2020 ◽

Vol 51 (Suppl_1) ◽

Author(s):

Dinesh V Jillella ◽

Sara Crawford ◽

Anne S Tang ◽

Rocio Lopez ◽

Ken Uchino

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Ischemic Stroke ◽

Regression Models ◽

Stroke Risk ◽

Stroke Patients ◽

Stroke Risk Factor ◽

Risk Factor Prevalence ◽

Urban Rural ◽

Artery Disease

Introduction: Regional disparities exist in stroke incidence and stroke related mortality in the United States. We aimed to elucidate the stroke risk factor prevalence trends based on urban versus rural location. Methods: From the National Inpatient Sample database the comorbid stroke risk factors were collected among hospitalized ischemic stroke patients during 2000-2016. Crude and age-and sex-standardized prevalence estimates were calculated for each risk factor during the time periods 2000-2008 and 2009-2016. We compared risk factor prevalence over the defined time periods using regression models, and differences in risk factor trends based on patient location categorized as urban (metropolitan with population of ≥ 1 million) and rural (neither micropolitan or metropolitan) using interaction terms in the regression models. Results: Stroke risk factor prevalence significantly increased from 2000-2008 to 2009-2016. When stratified based on patient location, most risk factors increased in both urban and rural groups. In the crude model, the urban to rural trend difference across 2000-08 and 2009-16 was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0008), diabetes mellitus (p<0.0001), coronary artery disease (p<0.0001), smoking (p<0.0001) and alcohol (p=0.02). With age and sex standardization, the urban to rural trend difference was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0007), coronary artery disease (p=0.01) and smoking (p<0.0001). Conclusion: The prevalence of vascular risk factors among ischemic stroke patients has increased over the last two decades. There exists an urban-rural divide, with rural patients showing larger increases in prevalence of several risk factors compared to urban patients.

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Cross-talk between ANGPTL4 gene SNP rs1044250 and weight management is a risk factor of Mets

10.21203/rs.3.rs-54841/v1 ◽

2020 ◽

Author(s):

Zhoujie Tong ◽

Jie Peng ◽

Hongtao Lan ◽

Wenwen Sai ◽

Yulin Li ◽

...

Keyword(s):

Blood Pressure ◽

Risk Factor ◽

Waist Circumference ◽

Weight Management ◽

Independent Risk Factor ◽

Lifestyle Changes ◽

Elevated Blood Pressure ◽

Base Line ◽

Elevated Blood

Abstract Background The prevalence of metabolic syndrome (Mets) is closely related to the increased incidence of cardiovascular events. Angiopoietin-like protein 4 (ANGPTL4) is contributory to the regulation of lipid metabolism, herein, may provide a target for gene-aimed therapy of Mets. This case-control study was designed to elucidate the relationship between Angiopoietin-like protein 4 (ANGPTL4) gene single nucleotide polymorphism (SNP) rs1044250 and the onset of Mets, and to explore the effect of interaction between SNP rs1044250 and weight management on Mets. Methods We have recruited 1018 Mets cases and 1029 controls in this study. The SNP rs1044250 was detected, base-line information and Mets-related indicators were collected. A 5-year follow-up survey was carried out to track the lifestyle changes, drug treatments and changes in Mets-related indicators. Results ANGPTL4 gene SNP rs1044250 is an independent risk factor for increased waist circumference (OR 1.618, 95% CI [1.119–2.340]; p = 0.011) and elevated blood pressure (OR 1.323, 95% CI [1.002–1.747]; p = 0.048), the prevalence of Mets (OR 1.875, 95% CI [1.363–2.580]; p < 0.001) is increased. The follow-up survey shows that rs1044250 CC genotype patients with weight gain have an increased number of Mets components (M [Q1, Q3]: CC 1 (0, 1), CT + TT 0 [-1, 1]; p = 0.021); The interaction between SNP rs1044250 and weight management is a risk factor for increased SBP (β = 0.075, p < 0.001) and increased DBP (β = 0.097, p < 0.001), the synergistic effect is negative (S < 1). Conclusion ANGPTL4 gene SNP rs1044250 is an independent risk factor for increased waist circumference and elevated blood pressure, therefore, for Mets. Weight management that interacts negatively with ANGPTL4 polymorphism is an essential lifestyle intervention approach for elevated blood pressure.

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