scholarly journals Physical Activity for Campus Employees: A University Worksite Wellness Program

2015 ◽  
Vol 12 (4) ◽  
pp. 470-476 ◽  
Author(s):  
Carling E. Butler ◽  
B. Ruth Clark ◽  
Tamara L. Burlis ◽  
Jacqueline C. Castillo ◽  
Susan B. Racette
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiorespiratory Fitness ◽  
Self Efficacy ◽  
Worksite Wellness ◽  
Wellness Program ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
University Employees ◽  
Daily Step Count

Background:Workplaces provide ideal environments for wellness programming. The purpose of this study was to explore exercise self-efficacy among university employees and the effects of a worksite wellness program on physical activity, cardiorespiratory fitness, and cardiovascular disease (CVD) risk factors.Methods:Participants included 121 university employees (85% female). The worksite wellness program included cardiovascular health assessments, personal health reports, 8 weeks of pedometer-based walking and tracking activities, and weekly wellness sessions. Daily step count was assessed at baseline, Week 4, and Week 8. Exercise self-efficacy and CVD risk factors were evaluated at baseline and follow-up.Results:Daily step count increased from 6566 ± 258 (LSM ± SE) at baseline to 8605 ± 356 at Week 4 and 9107 ± 388 at Week 8 (P < .0001). Steps increased among normal weight, overweight, and obese subgroups. Exercise self-efficacy correlated with baseline steps (P < .05). Small improvements were observed in cardiorespiratory fitness, body mass index, blood pressure, blood glucose, total cholesterol, and triglycerides (all P < .01).Conclusions:A worksite wellness program was effective for improving physical activity, cardiorespiratory fitness, and CVD risk factors among university employees. Exercise barriers and outcome expectations were identified and have implications for future worksite wellness programming.

scholarly journals Restrictive pattern on spirometry: association with cardiovascular risk and level of physical activity in asymptomatic adults

2016 ◽  
Vol 42 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Evandro Fornias Sperandio ◽  
Rodolfo Leite Arantes ◽  
Agatha Caveda Matheus ◽  
Rodrigo Pereira da Silva ◽  
Vinícius Tonon Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Arterial Hypertension ◽  
Cardiorespiratory Fitness ◽  
Physical Inactivity ◽  
Center Of Pressure ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Systemic Arterial Hypertension ◽  
Restrictive Pattern

Objective : To determine whether a restrictive pattern on spirometry is associated with the level of physical activity in daily life (PADL), as well as with cardiovascular disease (CVD) risk factors, in asymptomatic adults. Methods : A total of 374 participants (mean age, 41 ± 14 years) underwent spirometry, which included the determination of FVC and FEV1. A restrictive pattern on spirometry was defined as an FEV1/FVC ratio > 0.7 and an FVC < 80% of the predicted value. After conducting demographic, anthropometric, and CVD risk assessments, we evaluated body composition, muscle function, and postural balance, as well as performing cardiopulmonary exercise testing and administering the six-minute walk test. The PADL was quantified with a triaxial accelerometer. Results : A restrictive pattern on spirometry was found in 10% of the subjects. After multivariate logistic regression, adjusted for confounders (PADL and cardiorespiratory fitness), the following variables retained significance (OR; 95% CI) as predictors of a restrictive pattern: systemic arterial hypertension (17.5; 1.65-184.8), smoking (11.6; 1.56-87.5), physical inactivity (8.1; 1.43-46.4), larger center-of-pressure area while standing on a force platform (1.34; 1.05-1.71); and dyslipidemia (1.89; 1.12-1.98). Conclusions : A restrictive pattern on spirometry appears to be common in asymptomatic adults. We found that CVD risk factors, especially systemic arterial hypertension, smoking, and physical inactivity, were directly associated with a restrictive pattern, even when the analysis was adjusted for PADL and cardiorespiratory fitness. Longitudinal studies are needed in order to improve understanding of the etiology of a restrictive pattern as well as to aid in the design of preventive strategies.

scholarly journals Geographical profiles of cardiovascular risk and the risk factors in China: data from a nationwide population-based screening project

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.Q Wu ◽  
X Li ◽  
J.P Lu ◽  
B.W Chen ◽  
Y.C Li ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Population Based ◽  
Staple Food ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Food Factor ◽  
Rural And Urban ◽  
Activity Factor

Abstract Background In China, an abundance of cardiovascular risk factors has contributed to the increasing prevalence of cardiovascular diseases (CVD), which caused almost 4 million deaths per year. However, comprehensive evidence on the geographical profiles of cardiovascular disease risk in China is lacking, as findings in prior studies have been limited to relatively small sample sizes, had incomplete regional coverage, or focused on a narrow risk factor spectrum. Purpose To compare the population CVD risk among different regions across China, and to describe the geographical distributions of CVD risk factors and their clusters throughout the nation. Methods In a nationwide population-based screening project covering 252 counties of China, standardized measurements were conducted to collect information on 12 major CVD risk factors. Individuals of high CVD risk were identified as those with previous CVD, or with a predicted 10-year risk of CVD greater than 10% according to the WHO risk prediction charts. We applied factor analysis to generate “clusters” that characterized the clustering of these risk factors, then explored their relationship with the local ambient temperature and per capital GDP. Results Among 983476 participants included, 9.2% were of high CVD risk, with a range of 1.6% to 23.6% across counties. Among the seven regions in China, the rate was relatively high in the Northeast (11.8%) and North China (10.4%), while low in the South China (7.2%) and Northwest (7.8%). We identified 6 clusters underlying CVD risk factors, including Obesity factor, Blood pressure factor, Staple food factor, Non-staple food factor, Smoking and alcohol factor, and Metabolic and physical activity factor (Figure). We found high risk regions were facing different leading challenges, like obesity and blood pressure for the North China, while unhealthy non-staple food for the Northeast. The South China, as the region with the lowest CVD risk, still had the highest prevalence of unhealthy staple food. Lower annual average ambient temperature was associated with higher risk in Blood pressure factor, Obesity factor and Non-staple food factor, but lower risk in Staple food factor and Metabolic and physical activity factor (p&lt;0.001 for all), consistently between rural and urban. Higher per capital GDP was associated with lower risk in Non-staple food factor in urban and higher risk in Metabolic and physical activity factor in rural (p&lt;0.05 for both). The correlation between per capital GDP and Smoking and alcohol factor differed significantly between in rural and urban regions (p=0.042). Conclusions The geographical profile of CVD risk in China is complex - population risk levels varied substantially across regions, which were contributed by different risk factors. China needs geographically targeted intervention strategies considering environmental and socio-economic factors to control CVD risk and reduce the burden related to CVD. Geographical disparity of risk clusters Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): The National Key Research and Development Program from the Ministry of Science and Technology of China; the CAMS Innovation Fund for Medical Science

scholarly journals POS0486 FACTORS ASSOCIATED WITH CHRONOTROPIC RESPONSE IN PEOPLE WITH RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 475.2-476
Author(s):  
A. Osailan
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Cardiorespiratory Fitness ◽  
Inflammatory Markers ◽  
Exercise Intolerance ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Chronotropic Response ◽  
Factors Associated ◽  
The University

Background:People with rheumatoid arthritis (RA) are at high risk for cardiovascular diseases (CVD) and CVD mortality. Reduced Chronotropic response (CR), which produces exercise intolerance, is known as a contributing factor to CVD and mortality. Studies have shown that people with RA have reduced CR. However, knowledge about the factors associated with CR in people with RA is limited.Objectives:To explore the factors associated with CR including CVD risk factors, inflammatory markers and cardiorespiratory fitness (VO2 peak).Methods:106 people with RA completed a treadmill exercise tolerance test while heart rate (HR) was monitored via 12 leads ECG. CR was defined as the percentage of [(achieved peak HR minus resting HR) divided by (age-predicted maximum HR minus resting HR)]. Serological CVD risk factors and inflammatory markers including lipids profile, markers of insulin resistance and sensitivity (HOMA, QUICKi), high sensitivity C-reactive protein (hsCRP), erythrocyte sedimentation rate (ESR), fibrinogen and white blood cells (WBC) were examined via a fasted blood sample. VO2 peak was assessed via breath-by-breath gas analysis.Results:34% had reduced CR based on the cut-off value (≤ 80%) and the average CR was 86.2 ± 21%. Body mass index (r=-0.33, p=.001), HOMA (r=-0.26, p=.009), hsCRP (r=-0.23, p=.02), ESR (r=-0.21, p=.04), fibrinogen (r=-0.2, p=.05), WBC (r=-0.21, p=.04) were inversely associated with CR, whereas, high density lipoprotein (HDL) (r=0.43, p<.001), QUICKi (r=0.31, p=.002), and VO2 peak (r=0.4, p<.001) were positively associated with CR. When all the variables were entered into a stepwise linear regression, HDL (p<.001) and VO2 peak (p=.009) were independently associated with CR.Conclusion:The current findings suggest that CR in RA was associated with many CVD risk factors, inflammatory markers, and cardiorespiratory fitness. Among all the varibales, HDL and cardiorespiratory fitness were moderately and independently associated with CR. Future studies should investigate the effect of improving these associated variables on CR in people with RA via exercise training programes.Acknowledgements:Thanks to physical activity in Rheumatoid arthritis research team and Research department in Dudley Hospital. Sincere appreciation and gratitude to Dr Jet Veldhuizen van Zanten, Prof. Joan Duda, and Prof. George Kitas from the University of Birmingham and Prof. George Metsios from the University of Wolverhampton.Disclosure of Interests:None declared

Physical activity less than the recommended amount may prevent the onset of major biological risk factors for cardiovascular disease: a cohort study of 198 919 adults

2018 ◽  
Vol 54 (4) ◽  
pp. 238-244 ◽  
Author(s):  
David Martinez-Gomez ◽  
Irene Esteban-Cornejo ◽  
Esther Lopez-Garcia ◽  
Esther García-Esquinas ◽  
Kabir P Sadarangani ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Highly Active ◽  
Atherogenic Dyslipidaemia

ObjectivesWe examined the dose–response relationship between physical activity (PA) and incidence of cardiovascular disease (CVD) risk factors in adults in Taiwan.MethodsThis study included 1 98 919 participants, aged 18–97 years, free of CVD, cancer and diabetes at baseline (1997–2013), who were followed until 2016. At baseline, participants were classified into five PA levels: inactive’ (0 metabolic equivalent of task (MET)-h/week), ‘lower insufficiently active’ (0.1–3.75 MET-h/week), ‘upper insufficiently active’ (3.75–7.49 MET-h/week), ‘active’ (7.5–14.99 MET-h/week) and ‘highly active’ (≥15 MET-h/week]. CVD risk factors were assessed at baseline and at follow-up by physical examination and laboratory tests. Analyses were performed with Cox regression and adjusted for the main confounders.ResultsDuring a mean follow-up of 6.0±4.5 years (range 0.5–19 years), 20 447 individuals developed obesity, 19 619 hypertension, 21 592 hypercholesterolaemia, 14 164 atherogenic dyslipidaemia, 24 275 metabolic syndrome and 8548 type 2 diabetes. Compared with inactive participants, those in the upper insufficiently active (but not active) category had a lower risk of obesity (HR 0.92; 95% CI 0.88 to 0.95), atherogenic dyslipidaemia (0.96; 0.90 to 0.99), metabolic syndrome (0.95; 0.92 to 0.99) and type 2 diabetes (0.91; 0.86 to 0.97). Only highly active individuals showed a lower incidence of CVD risk factors than their upper insufficiently active counterparts.ConclusionCompared with being inactive, doing half the recommended amount of PA is associated with a lower incidence of several common biological CVD risk factors. Given these benefits, half the recommended amount of PA is an evidence based target for inactive adults.

Domestic Physical Activity in Relationship to Multiple CVD Risk Factors

2007 ◽  
Vol 32 (4) ◽  
pp. 320-327.e3 ◽  
Author(s):  
Emmanuel Stamatakis ◽  
Melvyn Hillsdon ◽  
Paola Primatesta
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cvd Risk Factors ◽  
Cvd Risk

scholarly journals Cardiovascular disease risk factors among undergraduate medical students in a tertiary care centre of eastern India: a pilot study

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Somnath Mukhopadhay ◽  
Anindya Mukherjee ◽  
Dibbendhu Khanra ◽  
Biaus Samanta ◽  
Avik Karak ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Medical Students ◽  
Risk Ratio ◽  
Tertiary Care ◽  
Density Lipoprotein ◽  
Eastern India ◽  
Cvd Risk Factors ◽  
Cvd Risk

Abstract Background Handful studies report the prevalence of cardiovascular disease (CVD) risk factors among medical students from India and none from the eastern part of the country. Aim To estimate the prevalence of risk factors of CVD and their correlation with CVD risk ratio among the MBBS students from eastern India. Methods 433 students were studied. International Physical Activity Questionnaire-long form was used for assessment of physical activity and Perceived Stress Scale (PSS) to elicit psychological stress levels. Waist-to-height ratio (WHtR) was calculated. Total cholesterol to high-density lipoprotein ratio was calculated as the CVD risk ratio. Results 39.3% were women and 68.6% of the subjects were in junior classes. 22.4% subjects had high PSS while 30% performed low physical activity. Tobacco and alcohol intake was prevalent in 29.3% and 21.0% respectively. High CVD risk ratio was found in 14.3%. Most risk factors were more prevalent among juniors except diabetes. Among the non-overweight and non-obese subjects there was a significant positive correlation between WHtR and CVD risk score (R = 0.33, p < 0.001). 82.7% of the variance in CVD risk ratio could be explained by WHtR, Body mass index, Triglycerides and Low-density lipoprotein (F(7, 425) = 296.085), of which LDL (β = 0.755) contributed the most. Conclusions High prevalence of different modifiable CVD risk factors revealed among the subjects in this study is concerning. WHtR appears promising as an independent early predictor of CVD risk in Indian population. A dedicated CVD risk assessment tool for the young population is necessary.

Abstract 042: Accelerometer-measured Light Physical Activity is Heart Healthy in Older Women: The OPACH Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Andrea Z LaCroix ◽  
John Bellettiere ◽  
Eileen Rillamas-Sun ◽  
Kelly R Evenson ◽  
Chongzhi Di ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Health Status ◽  
Older Women ◽  
Cvd Risk Factors ◽  
Light Physical Activity ◽  
Cvd Risk ◽  
Metabolic Equivalents ◽  
Morbidity Score ◽  
Co Morbidity

Background: The longstanding, prevailing paradigm in physical activity (PA) research and US PA guidelines is that moderate to vigorous physical activity (MVPA) for at least 150 minutes/week, preferably in increments of at least 10 minutes, is needed to prevent cardiovascular disease (CVD) in adults. Because light physical activity (LPA; 1.1-<3 metabolic equivalents (METs)) is poorly measured by self-report, we know little about its association with CVD. Methods: Women’s Health Initiative participants in the OPACH Study (n=5861, mean age=78.5±6.7, 33.5% Black, 17.6% Hispanic) without a history of myocardial infarction or stroke wore accelerometers for up to 7 days and were followed for incident CVD for up to 4 years. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for CVD and coronary heart disease (CHD) across awake wear time adjusted quartiles of MVPA and LPA. Fully adjusted models accounted for age, race-ethnicity, smoking, education, body mass index, systolic blood pressure, co-morbidity score, physical function, and self-rated health. We then examined the LPA association with CVD/CHD after adjustment for MVPA. Results: Higher levels of both LPA and MVPA were associated with reduced risks of CVD and CHD after adjusting for covariates (Table; p-trend <0.05, all). Women with the highest vs. lowest levels of MVPA had markedly reduced risks of CVD (31%) and CHD (50%). Women in the highest vs. lowest quartiles of LPA had 22% reduced risks of CVD and 39% reduced risks of CHD even after adjustment for many indicators of health status and CVD risk factors. The LPA association with CVD persisted after adjustment for MVPA (highest vs. lowest LPA quartile HR: 0.81 for CVD, p-trend=0.01; 0.74 for CHD, p-trend=0.04). Conclusions: LPA is associated with reduced risks of incident CVD and CHD in older women independent of health status indicators, CVD risk factors, and MVPA. Increasing levels of LPA is an achievable behavioral intervention for improving heart health in older women.

Physical activity, physical fitness, and cardiovascular health

2013 ◽  
Author(s):  
Jos Twisk ◽  
Isabel Ferreira
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Physical Fitness ◽  
Children And Adolescents ◽  
Cardiovascular Health ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Apo B

The incidence of morbidity and mortality related to CVD is rather low in a paediatric population. Studies investigating the relationship between physical activity, physical fitness, and cardiovascular health in children and adolescents are therefore mostly limited to CVD risk factors as outcome measures. For this reason, this chapter will focus on the association of physical activity and physical fitness with CVD risk factors in children and adolescents. These risk factors can be divided into the so-called traditional CVD risk factors; that is, lipoproteins [total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides (TG)], blood pressure, body fatness, and diabetes, and ‘new’ CVD risk factors; that is, other lipoproteins [lipoprotein(a) (Lp(a)), apolipoprotein (apo)B, and apoA-1], coagulation and inflammation markers [fibrinogen, C-reactive protein (CRP)], homocysteine, and heart rate variability.

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