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Busnatu SS, Serbanoiu LI, Lacraru AE, Andrei CL, Jercalau CE, Stoian M, Stoian A. Effects of Exercise in Improving Cardiometabolic Risk Factors in Overweight Children: A Systematic Review and Meta-Analysis. Healthcare (Basel) 2022; 10:healthcare10010082. [PMID: 35052246 PMCID: PMC8775269 DOI: 10.3390/healthcare10010082] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 12/16/2022] Open
Abstract
This meta-analysis aims to evaluate the effects of exercise in improving cardiometabolic risk factors in overweight children and adolescents until the adolescent age, which is 18 years. A systemic search was conducted using the electronic databases PubMed/Medline, Cochrane Library, and Google Scholar, from inception to 29 June 2021. All statistical analyses were conducted in Review Manager 5.4.1. All studies meeting the inclusion criteria were selected. A random-effect model was used to pool the studies, and the results are reported in the odds ratio (OR) and corresponding 95% Confidence interval (CI). Twelve randomized control trials were selected for meta-analysis. Significant results were obtained for BMI in children after the interventions (0.38 95% CI 0.14, 0.62; p = 0.002; I2 = 65%). LDL level was also found significantly reduced (0.41 95% CI 0.01, 0.82; p = 0.05; I2 = 83%). Other factors such as HDL level, blood pressure, blood glucose level, body weight, and waist circumference were also analyzed. We found that exercise interventions significantly improved several cardiometabolic risk factors such as BMI, LDL level, BP, and blood glucose level. However, no significant effect on HDL concentration, waist circumference, and body weight were found. Long-term interventions are needed to attain improvement in all cardiometabolic risk factors.
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Affiliation(s)
- Stefan Sebastian Busnatu
- Department of Cardiology, University of Medicine and Pharmacy “Carol Davila”, Emergency Hospital “Bagdasar-Arseni”, 050474 Bucharest, Romania; (S.S.B.); (A.E.L.); (C.L.A.); (C.E.J.); (M.S.); (A.S.)
| | - Liviu Ionut Serbanoiu
- Department of Cardiology, University of Medicine and Pharmacy “Carol Davila”, Emergency Hospital “Bagdasar-Arseni”, 050474 Bucharest, Romania; (S.S.B.); (A.E.L.); (C.L.A.); (C.E.J.); (M.S.); (A.S.)
- Correspondence:
| | - Andreea Elena Lacraru
- Department of Cardiology, University of Medicine and Pharmacy “Carol Davila”, Emergency Hospital “Bagdasar-Arseni”, 050474 Bucharest, Romania; (S.S.B.); (A.E.L.); (C.L.A.); (C.E.J.); (M.S.); (A.S.)
| | - Catalina Liliana Andrei
- Department of Cardiology, University of Medicine and Pharmacy “Carol Davila”, Emergency Hospital “Bagdasar-Arseni”, 050474 Bucharest, Romania; (S.S.B.); (A.E.L.); (C.L.A.); (C.E.J.); (M.S.); (A.S.)
| | - Cosmina Elena Jercalau
- Department of Cardiology, University of Medicine and Pharmacy “Carol Davila”, Emergency Hospital “Bagdasar-Arseni”, 050474 Bucharest, Romania; (S.S.B.); (A.E.L.); (C.L.A.); (C.E.J.); (M.S.); (A.S.)
| | - Marilena Stoian
- Department of Cardiology, University of Medicine and Pharmacy “Carol Davila”, Emergency Hospital “Bagdasar-Arseni”, 050474 Bucharest, Romania; (S.S.B.); (A.E.L.); (C.L.A.); (C.E.J.); (M.S.); (A.S.)
| | - Anca Stoian
- Department of Cardiology, University of Medicine and Pharmacy “Carol Davila”, Emergency Hospital “Bagdasar-Arseni”, 050474 Bucharest, Romania; (S.S.B.); (A.E.L.); (C.L.A.); (C.E.J.); (M.S.); (A.S.)
- Department of Diabetes, Nutrition and Metabolic Diseases, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
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Pella Z, Pella D, Paralič J, Vanko JI, Fedačko J. Analysis of Risk Factors in Patients with Subclinical Atherosclerosis and Increased Cardiovascular Risk Using Factor Analysis. Diagnostics (Basel) 2021; 11:1284. [PMID: 34359367 PMCID: PMC8307184 DOI: 10.3390/diagnostics11071284] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/08/2021] [Accepted: 07/13/2021] [Indexed: 01/05/2023] Open
Abstract
Today, there are many parameters used for cardiovascular risk quantification and to identify many of the high-risk subjects; however, many of them do not reflect reality. Modern personalized medicine is the key to fast and effective diagnostics and treatment of cardiovascular diseases. One step towards this goal is a better understanding of connections between numerous risk factors. We used Factor analysis to identify a suitable number of factors on observed data about patients hospitalized in the East Slovak Institute of Cardiovascular Diseases in Košice. The data describes 808 participants cross-identifying symptomatic and coronarography resulting characteristics. We created several clusters of factors. The most significant cluster of factors identified six factors: basic characteristics of the patient; renal parameters and fibrinogen; family predisposition to CVD; personal history of CVD; lifestyle of the patient; and echo and ECG examination results. The factor analysis results confirmed the known findings and recommendations related to CVD. The derivation of new facts concerning the risk factors of CVD will be of interest to further research, focusing, among other things, on explanatory methods.
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Affiliation(s)
- Zuzana Pella
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, 040 01 Košice, Slovakia; (J.P.); (J.I.V.)
| | - Dominik Pella
- 1st Department of Cardiology, East Slovak Institute for Cardiovascular Diseases, 040 01 Košice, Slovakia;
- Faculty of Medicine, Pavol Jozef Šafárik University in Košice, 040 01 Košice, Slovakia
| | - Ján Paralič
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, 040 01 Košice, Slovakia; (J.P.); (J.I.V.)
| | - Jakub Ivan Vanko
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, 040 01 Košice, Slovakia; (J.P.); (J.I.V.)
| | - Ján Fedačko
- Centre of Clinical and Preclinical Research, MEDIPARK, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, 040 01 Košice, Slovakia;
- Department of Gerontology and Geriatrics, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, 040 01 Košice, Slovakia
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Bélair MA, Kohen DE, Kingsbury M, Colman I. Relationship between leisure time physical activity, sedentary behaviour and symptoms of depression and anxiety: evidence from a population-based sample of Canadian adolescents. BMJ Open 2018; 8:e021119. [PMID: 30337306 PMCID: PMC6196847 DOI: 10.1136/bmjopen-2017-021119] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 07/27/2018] [Accepted: 08/22/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Physical and sedentary activities have been identified as potentially modifiable risk factors for many diseases, including mental illness, and may be effective targets for public health policy and intervention. However, the relative contribution of physical activity versus sedentary behaviour to mental health is less clear. This study investigated the cross-sectional association between physical activity, sedentary activity and symptoms of depression and anxiety at age 14-15 in the National Longitudinal Survey of Children and Youth (NLSCY). METHODS Respondents aged 14-15 years between 1996 and 2009 who reported on symptoms of depression in the NLSCY were included (n=9702). Multinomial logistic regression was used to assess the relationship between physical and sedentary activity and symptoms of depression and anxiety. Joint models including both physical and sedentary activity were also explored. Models were adjusted for sex, ethnicity, immigration status, family income, parental education, recent major stressful life events and chronic health conditions. RESULTS The odds of having moderate and severe symptoms of depression and anxiety compared with no symptoms was 1.43 (1.11 to 1.84) and 1.88 (1.45 to 2.45) times higher, respectively, in physically inactive youth relative to physically active youth. The odds of having moderate and severe symptoms of depression and anxiety compared with no symptoms was 1.38 (1.13 to 1.69) and 1.31 (1.02 to 1.69) times higher, respectively, in sedentary youth relative to non-sedentary youth. In joint models including both physical and sedentary activity, sedentary activity was not consistently associated with symptoms of depression and anxiety. CONCLUSIONS Both physical inactivity and sedentary activity appear to be significantly related to symptoms of depression and anxiety. The importance of distinguishing these two behaviours has relevance for research as well as policies targeting physical activity and mental health in youth.
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Affiliation(s)
- Marc-André Bélair
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Dafna E Kohen
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Health Analysis Division, Statistics Canada, Ottawa, Ontario, Canada
| | - Mila Kingsbury
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Ian Colman
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
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Zhang Y, Mei S, Yang R, Chen L, Gao H, Li L. Effects of lifestyle intervention using patient-centered cognitive behavioral therapy among patients with cardio-metabolic syndrome: a randomized, controlled trial. BMC Cardiovasc Disord 2016; 16:227. [PMID: 27863480 PMCID: PMC5116154 DOI: 10.1186/s12872-016-0398-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 11/07/2016] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Cardio-metabolic syndrome (CMS) is a highly prevalent condition. There is an urgent need to identify effective and integrated multi-disciplinary approaches that can reduce risk factors for CMS. METHODS Sixty-two patients with a history of CMS were randomized 1:1 into two groups: a standard information -only group (control), or a self-regulated lifestyle waist circumference (patient-centered cognitive behavioral therapy) intervention group. A pretest and posttest, controlled, experimental design was used. Outcomes were measured at the baseline (week 0) and at the end of intervention (week 12). Comparisons were drawn between groups and over time. RESULTS The mean (standard deviation) age of the subjects was 48.6 (5.8) years ranging from 32 to 63, and 56.9% of the participants were female. Both groups showed no significant differences in Demographic variables and the metabolic syndrome indicators at baseline. While the control group only showed modest improvement after 12 weeks, compared to baseline, the intervention group demonstrated significant improvement from baseline. This study controlled for patients' demographics and baseline characteristics when assessing the effects of intervention. After adjusting for age, education and baseline level, the experimental group and the control group were statistically significant different in the following post-treatment outcomes: WC (F = 35.96, P < 0.001), TG (F = 18.93, P < 0.001), RSBP (F = 33.89, P < 0.001) and SF-36(F = 157.93, P < 0.001). The results showed patients' age and education were not strong predictors of patients' outcome (including WC, TG, RSBP and SF-36). CONCLUSIONS Lifestyle intervention on patient-centered cognitive behavioral therapy can improve the physical and mental health conditions among individuals reporting a history of cardio-metabolic syndrome, and possibly provided preliminary benefits for the treatment of CMS. TRIAL REGISTRATION Chinese Clinical Trial Register #, ChiCTR15006148 .
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Affiliation(s)
- Ying Zhang
- Department of Children and Adolescent Health Care, School of Public Health, Jilin University, #1163 Xinmin Street, Changchun, 130021 People’s Republic of China
- Department of Education, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
| | - Songli Mei
- Department of Children and Adolescent Health Care, School of Public Health, Jilin University, #1163 Xinmin Street, Changchun, 130021 People’s Republic of China
| | - Rui Yang
- Department of Internal Medicine, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
| | - Ling Chen
- Department of Internal Medicine, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
| | - Hang Gao
- Department of Internal Medicine, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
| | - Li Li
- Faculty of Humanity Management, Jinzhou Medical University, Jinzhou, China
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Anderson LN, Lebovic G, Hamilton J, Hanley AJ, McCrindle BW, Maguire JL, Parkin PC, Birken CS. Body Mass Index, Waist Circumference, and the Clustering of Cardiometabolic Risk Factors in Early Childhood. Paediatr Perinat Epidemiol 2016; 30:160-70. [PMID: 26645704 DOI: 10.1111/ppe.12268] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Obesity has its origins in early childhood; however, there is limited evidence of the association between anthropometric indicators and cardiometabolic risk factors in young children. Our aim was to evaluate the associations between body mass index (BMI) and waist circumference (WC) in relation to cardiometabolic risk factors and to explore the clustering of these factors. METHODS A cross-sectional study was conducted in children aged 1-5 years through TARGet Kids! (n = 2917). Logistic regression was used to evaluate associations between BMI and WC z-scores and individual traditional and possible non-traditional cardiometabolic risk factors. The underlying clustering of these measures was evaluated using principal components analysis (PCA). RESULTS Child obesity (BMI z-score >2) was associated with high (>90th percentile) leptin [odds ratio (OR) 8.15, 95% confidence interval (CI) 4.56, 14.58] and insulin (OR = 1.76; 95% CI 1.05, 2.94). WC z-score >1 was associated with high insulin (OR 1.59, 95% CI 1.11, 2.28), leptin (OR 5.48, 95% CI 3.48, 8.63) and 25-hydroxyvitamin D < 75 nmol/L (OR 1.39, 95% CI 1.08, 1.79). BMI and WC were not associated with other traditional cardiometabolic risk factors, including non-High Density Lipoprotein (HDL) cholesterol, and glucose. Among children 3-5 years (n = 1035) the PCA of traditional risk factors identified three components: adiposity/blood pressure, metabolic, and lipids. The inclusion of non-traditional risk factors identified four additional components but contributed minimally to the total variation explained. CONCLUSIONS Anthropometric indicators are associated with selected cardiometabolic risk factors in early childhood, although the clustering of risk factors suggests that adiposity is only one distinct component of cardiometabolic risk. The measurement of other risk factors beyond BMI and WC may be important in defining cardiometabolic risk in early childhood.
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Affiliation(s)
- Laura N Anderson
- Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Gerald Lebovic
- The Applied Health Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada.,Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Jill Hamilton
- Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Anthony J Hanley
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Brian W McCrindle
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jonathon L Maguire
- The Applied Health Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada.,Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Patricia C Parkin
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Division of Pediatric Medicine and the Pediatric Outcomes Research Team, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Catherine S Birken
- Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Division of Pediatric Medicine and the Pediatric Outcomes Research Team, The Hospital for Sick Children, Toronto, Ontario, Canada
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Chang CJ, Jian DY, Lin MW, Zhao JZ, Ho LT, Juan CC. Evidence in obese children: contribution of hyperlipidemia, obesity-inflammation, and insulin sensitivity. PLoS One 2015; 10:e0125935. [PMID: 26011530 PMCID: PMC4444301 DOI: 10.1371/journal.pone.0125935] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 03/19/2015] [Indexed: 11/20/2022] Open
Abstract
Background Evidence shows a high incidence of insulin resistance, inflammation and dyslipidemia in adult obesity. The aim of this study was to assess the relevance of inflammatory markers, circulating lipids, and insulin sensitivity in overweight/obese children. Methods We enrolled 45 male children (aged 6 to 13 years, lean control = 16, obese = 19, overweight = 10) in this study. The plasma total cholesterol, HDL cholesterol, triglyceride, glucose and insulin levels, the circulating levels of inflammatory factors, such as TNF-α, IL-6, and MCP-1, and the high-sensitive CRP level were determined using quantitative colorimetric sandwich ELISA kits. Results Compared with the lean control subjects, the obese subjects had obvious insulin resistance, abnormal lipid profiles, and low-grade inflammation. The overweight subjects only exhibited significant insulin resistance and low-grade inflammation. Both TNF-α and leptin levels were higher in the overweight/obese subjects. A concurrent correlation analysis showed that body mass index (BMI) percentile and fasting insulin were positively correlated with insulin resistance, lipid profiles, and inflammatory markers but negatively correlated with adiponectin. A factor analysis identified three domains that explained 74.08% of the total variance among the obese children (factor 1: lipid, 46.05%; factor 2: obesity-inflammation, 15.38%; factor 3: insulin sensitivity domains, 12.65%). Conclusions Our findings suggest that lipid, obesity-inflammation, and insulin sensitivity domains predominantly exist among obese children. These factors might be applied to predict the outcomes of cardiovascular diseases in the future.
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Affiliation(s)
- Chi-Jen Chang
- Division of Pediatric Surgery, Department of Surgery, Shin-Kong Wu Ho-Su Hospital, Taipei, Taiwan
- School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Deng-Yuan Jian
- Institutes of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Division of Nephrology, Wen-Lin Hemodialysis Unit, Taipei, Taiwan
| | - Ming-Wei Lin
- Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jun-Zhi Zhao
- Division of Pediatric Surgery, Department of Surgery, Shin-Kong Wu Ho-Su Hospital, Taipei, Taiwan
| | - Low-Tone Ho
- Institutes of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chi-Chang Juan
- Institutes of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
- * E-mail:
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Gately PJ, Curtis C. Implementing behaviour change for healthier lifestyles in obese children. NUTR BULL 2013. [DOI: 10.1111/nbu.12006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- P. J. Gately
- Leeds Metropolitan University; West Yorkshire; UK
| | - C. Curtis
- Leeds Metropolitan University; West Yorkshire; UK
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Zeppetzauer M, Drexel H, Vonbank A, Rein P, Aczel S, Saely CH. Eccentric endurance exercise economically improves metabolic and inflammatory risk factors. Eur J Prev Cardiol 2012; 20:577-84. [PMID: 22505055 DOI: 10.1177/2047487312444236] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Exercise is a cornerstone of cardiovascular prevention. Because many individuals are not willing or not able to perform regular exercise, new methods of exercise (like eccentric exercise) are necessary. Eccentric endurance exercise is supposed to be less strenuous than concentric exercise but its effects on glucose and lipid metabolism in relation to energy expenditure are unclear. METHODS We randomly allocated 45 healthy sedentary individuals to one of two groups, each hiking upwards or downwards for 2 months, with a crossover for a further 2 months; for the opposite way, a cable car was used. The difference in altitude was 540 metres; the distance was covered between three and five times a week. Energy expenditure was assessed for each hiking period. RESULTS Both eccentric and concentric endurance exercise improved glucose tolerance vs. baseline (by 4.1%, p = 0.136; 6.2%, p = 0.023, respectively). Of note, adjustment for energy expenditure per exercise unit (127 ± 22 kcal/unit with eccentric and 442 ± 78 kcal/unit with concentric exercise) revealed a significantly greater improvement of glucose tolerance per kilocalorie spent by eccentric than by concentric exercise (4-times more economical; 0.1123 mg h/dl/kcal vs. 0.0245 mg h/dl/kcal; p = 0.038). Also the decrease of low-density lipoprotein (LDL) cholesterol per kilocalorie spent was significantly stronger with eccentric exercise (0.0982 mg/dl/kcal vs. 0.0346 mg/dl/kcal, p = 0.014). Serum levels of C-reactive protein and creatine kinase activity were reduced in both groups. CONCLUSION Eccentric endurance exercise economically improves glucose tolerance and LDL cholesterol. It therefore is a promising new exercise modality for individuals who are not able to participate in more strenuous exercise regimens.
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Affiliation(s)
- Markus Zeppetzauer
- Vorarlberg Institute for Vascular Investigation and Treatment, Feldkirch, Austria
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