scholarly journals Changes in Body Composition, Cardiovascular Disease Risk Factors, and Eating Behavior after an Intensive Lifestyle Intervention with High Volume of Physical Activity in Severely Obese Subjects: A Prospective Clinical Controlled Trial

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Kjersti Karoline Danielsen ◽  
Mette Svendsen ◽  
Sverre Mæhlum ◽  
Jorunn Sundgot-Borgen
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Weight Loss ◽  
Eating Behavior ◽  
High Volume ◽  
Fat Free Mass ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Intensive Lifestyle Intervention ◽  
Obese Subjects

We examined the effects of a 10–14-weeks inpatient lifestyle modification program, including minimum 90 min of physical activity (PA) five days/week, on body composition, CVD risk factors, and eating behavior in 139 obese subjects (BMI42.6±5.2 kg/m2). Completion rate was 71%(n=71)in the intensive lifestyle intervention (ILI) group and 85%(n=33)among waiting list controls. Compared to controls body weight (-17.0(95% CI: -18.7,-15.3) kg,P<0.0001), fat mass (-15.2(95% CI: -17.4,-13.1) kg,P<0.0001), fat free mass (-1.2(95% CI: -2.2,-0.2) kg,P=0.016) and visceral fat (-86.6(95% CI: -97.4,-75.7) cm2,P<0.0001) were reduced in the ILI-group after 10–14 weeks. Within the ILI-group weight loss was-23.8(95% CI: -25.9,-21.7) kg,P<0.0001and-20.3(95% CI: -23.3,-17.3) kg,P<0.0001, after six and 12 months, respectively. Systolic BP, glucose, triglycerides, and LDL-C were reduced, and HDL-C was increased (allP≤0.006) after 10–14 weeks within the ILI group. The reduction in glucose and increase in HDL-C were sustained after 12 months (allP<0.0001). After one year, weight loss was related to increased cognitive restraint and decreased uncontrolled eating (allP<0.05). Thus, ILI including high volume of PA resulted in weight loss with almost maintenance of fat-free mass, favorable changes in CVD risk factors, and eating behavior in subjects with severe obesity.

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

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 44: Cardiometabolic Responses to Weight Change are Different between Obese and Normal Weight Adults Who are Metabolically Healthy: The Atherosclerosis Risk in Communities Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Zhaohui Cui ◽  
Kimberly P Truesdale ◽  
Patrick T Bradshaw ◽  
Jianwen Cai ◽  
June Stevens
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Weight Maintenance ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Obese Adults ◽  
Metabolically Healthy

Introduction: The 2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults recommended weight loss for obese adults in order to reduce their cardiovascular disease (CVD) risk. However, not all obese adults develop CVD and approximately 17% of obese Americans in the 1999-2004 NHANES were metabolically healthy. The absence of abnormal CVD risk factors in this subgroup of obese adults indicates that some individuals are resistant to excess adiposity and positive energy balance, and raises the question of whether all obese adults should be recommended for weight loss treatment. We know of no study that has examined whether metabolically healthy obese (MHO) adults respond to weight changes the same way as metabolically healthy normal weight adults (MHNW). Also, no study has compared the effects of weight loss, weight maintenance and weight gain on CVD risk factors in MHO adults. Hypothesis: We hypothesized that the effects of weight change would be different in MHNW and MHO adults, with MHO adults having less stable risk factors, and that weight loss has a protective effect on CVD risk factors in the MHO compared to weight maintenance and weight gain. Methods: Data were from 2,710 MHO and MHNW participants in the Atherosclerosis Risk in Communities (ARIC) study. Four examinations yielded 4,541 observations over sequential 3-year intervals. Metabolically healthy was defined as absence of all components of metabolic syndrome, excluding waist circumference, at the beginning of a 3-year interval. Mixed effect models were applied to individually compare changes in five CVD risk factors (systolic blood pressure, diastolic blood pressure, triglycerides, high-density lipoprotein cholesterol and glucose) in MHO and MHNW adults within 3 weight change categories (<3% weight loss, weight maintenance (±3%) and >3% weight gain). Results: Weight loss was associated with small or no changes in the five CVD risk factors in both MHO and MHNW adults. Weight maintenance was associated with larger increases in MHO compared to MHNW adults in triglycerides (mean ± standard error: 10.0±1.7 vs. 6.5±1.0 mg/dL) and glucose (1.7±0.4 vs. 0.9±0.2 mg/dL). Weight gain was associated with larger increases in systolic (8.6±0.6 vs. 6.2±0.4 mmHg) and diastolic (3.9±0.4 vs. 2.5±0.3 mmHg) blood pressure, triglycerides (22.0±1.8 vs. 16.0±1.1 mg/dL) and glucose (4.9±0.4 vs. 1.9±0.3 mg/dL) among the MHO compared to the MHNW. MHO weight losers experienced more favorable changes in the five CVD risk factors compared to MHO weight maintainers (p<0.04) or gainers (p<0.0001). Conclusions: We showed that compared to MHNW, MHO adults experienced similar changes in CVD risk factors with weight loss and larger increases with weight maintenance and gain. Our study supports the 2013 Guideline that primary health care providers should recommend weight loss treatment for MHO patients.

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.

Adverse Effects Of Coexistence Of Sarcopenia And Obesity On Cvd Risk Factors And Physical Activity Impairments In Japanese Adult Men

2014 ◽  
Vol 46 ◽  
pp. 800
Author(s):  
Taishi Furushima ◽  
Motohiko Miyachi ◽  
Motoyuki Iemitsu ◽  
Haruka Murakami ◽  
Hiroshi Kawano ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Adverse Effects ◽  
Cvd Risk Factors ◽  
Japanese Adult ◽  
Cvd Risk ◽  
Adult Men

scholarly journals Effects of visceral adipose tissue reduction on CVD risk factors independent of weight loss: The Look AHEAD study

2016 ◽  
Vol 42 (2) ◽  
pp. 86-95 ◽  
Author(s):  
Anawin Sanguankeo ◽  
Mariana Lazo ◽  
Sikarin Upala ◽  
Frederick L. Brancati ◽  
Susanne Bonekamp ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Adipose Tissue ◽  
Visceral Adipose Tissue ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Look Ahead ◽  
The Look ◽  
Visceral Adipose ◽  
Tissue Reduction
Sign in / Sign up

Export Citation Format

Share Document