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Sillars A, Celis-Morales CA, Ho FK, Petermann F, Welsh P, Iliodromiti S, Ferguson LD, Lyall DM, Anderson J, Mackay DF, Pellicori P, Cleland J, Pell JP, Gill JMR, Gray SR, Sattar N. Association of Fitness and Grip Strength With Heart Failure: Findings From the UK Biobank Population-Based Study. Mayo Clin Proc 2019; 94:2230-2240. [PMID: 31685151 DOI: 10.1016/j.mayocp.2019.04.041] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Revised: 02/18/2019] [Accepted: 04/10/2019] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To investigate the associations of objectively measured cardiorespiratory fitness (CRF) and grip strength (GS) with incident heart failure (HF), a clinical syndrome that results in substantial social and economic burden, using UK Biobank data. PATIENTS AND METHODS Of the 502,628 participants recruited into the UK Biobank between April 1, 2007, and December 31, 2010, a total of 374,493 were included in our GS analysis and 57,053 were included in CRF analysis. Associations between CRF and GS and incident HF were investigated using Cox proportional hazard models, with adjustment for known measured confounders. RESULTS During a mean of 4.1 (range, 2.4-7.1) years, 631 HF events occurred in those with GS data, and 66 HF events occurred in those with CRF data. Higher CRF was associated with 18% lower risk for HF (hazard ratio [HR], 0.82; 95% CI, 0.76-0.88) per 1-metabolic equivalent increment increase and GS was associated with 19% lower incidence of HF risk (HR, 0.81; 95% CI, 0.77-0.86) per 5-kg increment increase. When CRF and GS were standardized, the HR for CRF was 0.50 per 1-SD increment (95% CI, 0.38-0.65), and for GS was 0.65 per 1-SD increment (95% CI, 0.58-0.72). CONCLUSION Our data indicate that objective measurements of physical function (GS and CRF) are strongly and independently associated with lower HF incidence. Future studies targeting improving CRF and muscle strength should include HF as an outcome to assess whether these results are causal.
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Affiliation(s)
- Anne Sillars
- Institute of Cardiovascular and Medical Sciences, United Kingdom
| | | | - Frederick K Ho
- Institute of Cardiovascular and Medical Sciences, United Kingdom; Institute of Health and Wellbeing, United Kingdom
| | - Fanny Petermann
- Institute of Cardiovascular and Medical Sciences, United Kingdom; Institute of Health and Wellbeing, United Kingdom
| | - Paul Welsh
- Institute of Cardiovascular and Medical Sciences, United Kingdom
| | | | - Lyn D Ferguson
- Institute of Cardiovascular and Medical Sciences, United Kingdom
| | | | | | | | | | - John Cleland
- Robertson Centre for Biostatistics, University of Glasgow, United Kingdom
| | - Jill P Pell
- Institute of Health and Wellbeing, United Kingdom
| | - Jason M R Gill
- Institute of Cardiovascular and Medical Sciences, United Kingdom
| | - Stuart R Gray
- Institute of Cardiovascular and Medical Sciences, United Kingdom
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, United Kingdom
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152
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Health and Fitness Benefits But Low Adherence Rate: Effect of a 10-Month Onsite Physical Activity Program Among Tertiary Employees. J Occup Environ Med 2019; 60:e455-e462. [PMID: 30020214 DOI: 10.1097/jom.0000000000001394] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The aim of this study was to assess the effects of a 10-month structured physical activity intervention implemented within the workplace on overall health indicators among tertiary (office workers) employees. METHODS In this quasi-experimental study, 224 employees followed a 10-month worksite physical activity program. Overall health was assessed at baseline, after 5 months, and by the end of the intervention. RESULTS Fat mass percentage decreased significantly. There was a time effect favoring push-ups, abdominal strength, flexibility, heart rate postexercise, heart rate +30 seconds, and heart rate +60 seconds postexercise. Anxiety, depression, and eating habits also improved. In total, 45% of participants completed the whole intervention. CONCLUSION Although a structured on-site physical activity program supports improved health indicators, adherence remains a concern and requires specialists to develop new strategies.
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153
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Prediction and management of CAD risk based on genetic stratification. Trends Cardiovasc Med 2019; 30:328-334. [PMID: 31543237 DOI: 10.1016/j.tcm.2019.08.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 08/01/2019] [Accepted: 08/20/2019] [Indexed: 12/24/2022]
Abstract
Discovery of genetic risk variants for CAD and their assembly on a computerized microarray enables a genetic risk score (GRS) to be expressed as a single number. Utilizing this array, genetic risk stratification has been performed in over 1 million cases and controls. The genetic score based on one's DNA can be determined anytime from birth on and is independent of age and conventional risk factors. Utilizing the GRS, one can select those at highest risk and would benefit most from primary prevention. Clinical trials have shown that modifying lifestyle or using statin therapy reduces the risk for CAD by approximately 50%. The use of the GRS for primary prevention will have a transformative effect on preventing the spread of CAD.
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154
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Aspirin Eugenol Ester Reduces H 2O 2-Induced Oxidative Stress of HUVECs via Mitochondria-Lysosome Axis. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:8098135. [PMID: 31583045 PMCID: PMC6754946 DOI: 10.1155/2019/8098135] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 03/12/2019] [Accepted: 04/07/2019] [Indexed: 01/29/2023]
Abstract
The oxidative stress of vessel endothelium is a major risk factor of cardiovascular disorders. Antioxidative stress drugs are widely used in cardiovascular therapy. Aspirin eugenol ester (AEE) is a new pharmaceutical compound synthesized by esterification reaction of aspirin with eugenols and possesses antioxidative activity. The present study was designed to investigate the mechanism how AEE protects human umbilical vein endothelial cells (HUVECs) from H2O2-induced oxidative stress. H2O2 was given to the HUVECs with or without AEE pretreatment. Changes in the oxidative stress-related factors, including those related to the mitochondria-lysosome axis, were determined with Western blotting, cellular immunofluorescence, and enzyme activity test. The results showed that, in the HUVECs, 300 μM H2O2 treatment significantly increased the apoptosis rate, MDA concentration, reactive oxygen species (ROS) production, mitochondrial membrane potential, expression of Bax and mature cathepsin D (CTSD), and activity of CTSD and Caspase3 (Cas3) but decreased the expression of Bcl2 and lysosomal membrane stability, while in the HUVECs pretreated with AEE, the above changes caused by either the stimulatory or the inhibitory effect of H2O2 on the relevant factors were significantly reduced. AEE pretreatment significantly enhanced the activity of cellular superoxide dismutase and glutathione peroxidase in the HUVECs. Our findings suggest that AEE effectively reduced H2O2-induced oxidative stress in the HUVECs via mitochondria-lysosome axis.
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155
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Said MA, van de Vegte YJ, Zafar MM, van der Ende MY, Raja GK, Verweij N, van der Harst P. Contributions of Interactions Between Lifestyle and Genetics on Coronary Artery Disease Risk. Curr Cardiol Rep 2019; 21:89. [PMID: 31352625 PMCID: PMC6661028 DOI: 10.1007/s11886-019-1177-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE OF THE REVIEW To summarize current knowledge on interactions between genetic variants and lifestyle factors (G×L) associated with the development of coronary artery disease (CAD) and prioritize future research. RECENT FINDINGS Genetic risk and combined lifestyle factors and behaviors have a log-additive effect on the risk of developing CAD. First, we describe genetic and lifestyle factors associated with CAD and then focus on G×L interactions. The majority of G×L interaction studies are small-scale candidate gene studies that lack replication and therefore provide spurious results. Only a few studies, of which most use genetic risk scores or genome-wide approaches to test interactions, are robust in number and analysis strategy. These studies provide evidence for the existence of G×L interactions in the development of CAD. Further G×L interactions studies are important as they contribute to our understanding of disease pathophysiology and possibly provide insights for improving interventions or personalized recommendations.
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Affiliation(s)
- M. Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Yordi J. van de Vegte
- Department of Cardiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Muhammad Mobeen Zafar
- PMAS University of Arid Agriculture Rawalpindi, University Institute of Biochemistry and Biotechnology, 46000 Murree Road, Rawalpindi, Pakistan
| | - M. Yldau van der Ende
- Department of Cardiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Ghazala Kaukab Raja
- PMAS University of Arid Agriculture Rawalpindi, University Institute of Biochemistry and Biotechnology, 46000 Murree Road, Rawalpindi, Pakistan
| | - N. Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
- Genomics plc, Oxford, OX1 1JD UK
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
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CHIN EDWINC, YU ANGUSP, LAI CHRISTOPHERW, FONG DANIELY, CHAN DERWINK, WONG STEPHENH, SUN FENGHUA, NGAI HEIDIH, YUNG PATRICKSH, SIU PARCOM. Low-Frequency HIIT Improves Body Composition and Aerobic Capacity in Overweight Men. Med Sci Sports Exerc 2019; 52:56-66. [DOI: 10.1249/mss.0000000000002097] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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158
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Plaza-Florido A, Migueles JH, Mora-Gonzalez J, Molina-Garcia P, Rodriguez-Ayllon M, Cadenas-Sanchez C, Esteban-Cornejo I, Solis-Urra P, de Teresa C, Gutiérrez Á, Michels N, Sacha J, Ortega FB. Heart Rate Is a Better Predictor of Cardiorespiratory Fitness Than Heart Rate Variability in Overweight/Obese Children: The ActiveBrains Project. Front Physiol 2019; 10:510. [PMID: 31133870 PMCID: PMC6514130 DOI: 10.3389/fphys.2019.00510] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 04/11/2019] [Indexed: 01/01/2023] Open
Abstract
Cardiac autonomic function can be quantified through mean heart rate (HR) or heart rate variability (HRV). Numerous studies have supported the utility of different HRV parameters as indicators of cardiorespiratory fitness (CRF). However, HR has recently shown to be a stronger predictor of CRF than HRV in healthy young adults, yet these findings need to be replicated, in other age groups such as children. Therefore, this study aimed: (1) to study the associations between indicators of cardiac autonomic function (HR, standard and corrected HRV parameters) and CRF in overweight/obese children; and (2) to test which of the two indicators (i.e., HR or HRV) is a stronger predictor of CRF. This study used cross-sectional baseline data of 107 overweight/obese children (10.03 ± 1.13 years, 58% boys) from the ActiveBrains project. Cardiac autonomic indicators were measured with Polar RS800CX®. CRF was assessed using a gas analyzer while performing a maximal incremental treadmill test. Correlations and stepwise linear regressions were performed. Mean HR and standard HRV parameters (i.e., pNN50, RMSSD, and SDNN) were associated with CRF (r coefficients ranging from -0.333 to 0.268; all p ≤ 0.05). The association of HR with CRF persisted after adjusting for sex, peak height velocity (PHV), adiposity moderate-to-vigorous physical activity, energy intake and circadian-related variable intradaily variability of activity patterns whilst for HRV parameters (i.e., pNN50, RMSSD, and SDNN) disappeared. Stepwise linear regression models entering HR and all HRV parameters showed that mean HR was the strongest predictor of CRF (β = -0.333, R 2 = 0.111, p < 0.001). Standard and corrected HRV parameters did not provide additional value to the coefficient of determination (all p > 0.05). Our findings suggest that HR is the strongest indicator of CRF. It seems that quantification of HRV parameters in time and frequency domain do not add relevant clinical information about the cardiovascular health status (as measured by CRF) in overweight/obese children beyond the information already provided by the simple measure of HR.
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Affiliation(s)
- Abel Plaza-Florido
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Jairo H. Migueles
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Jose Mora-Gonzalez
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Pablo Molina-Garcia
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Department of Rehabilitation Sciences, KU Leuven – University of Leuven, Leuven, Belgium
| | - Maria Rodriguez-Ayllon
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Cristina Cadenas-Sanchez
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Irene Esteban-Cornejo
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, United States
| | - Patricio Solis-Urra
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
- IRyS Group, School of Physical Education, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Carlos de Teresa
- Andalusian Centre of Sport Medicine (CAMD), Junta de Andalucía, Granada, Spain
| | - Ángel Gutiérrez
- Department of Medical Physiology, School of Medicine, University of Granada, Granada, Spain
| | - Nathalie Michels
- Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jerzy Sacha
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, Opole, Poland
- Department of Cardiology, University Hospital in Opole, University of Opole, Opole, Poland
| | - Francisco B. Ortega
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
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159
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Cardiac adaptation to exercise training in health and disease. Pflugers Arch 2019; 472:155-168. [PMID: 31016384 DOI: 10.1007/s00424-019-02266-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 02/13/2019] [Accepted: 02/15/2019] [Indexed: 02/08/2023]
Abstract
The heart is the primary pump that circulates blood through the entire cardiovascular system, serving many important functions in the body. Exercise training provides favorable anatomical and physiological changes that reduce the risk of heart disease and failure. Compared with pathological cardiac hypertrophy, exercise-induced physiological cardiac hypertrophy leads to an improvement in heart function. Exercise-induced cardiac remodeling is associated with gene regulatory mechanisms and cellular signaling pathways underlying cellular, molecular, and metabolic adaptations. Exercise training also promotes mitochondrial biogenesis and oxidative capacity leading to a decrease in cardiovascular disease. In this review, we summarized the exercise-induced adaptation in cardiac structure and function to understand cellular and molecular signaling pathways and mechanisms in preclinical and clinical trials.
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160
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Tikkanen E, Gustafsson S, Knowles JW, Perez M, Burgess S, Ingelsson E. Body composition and atrial fibrillation: a Mendelian randomization study. Eur Heart J 2019; 40:1277-1282. [PMID: 30721963 PMCID: PMC6475522 DOI: 10.1093/eurheartj/ehz003] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 08/19/2018] [Accepted: 01/03/2019] [Indexed: 01/10/2023] Open
Abstract
AIMS Increases in fat-free mass and fat mass have been associated with higher risk of atrial fibrillation (AF) in observational studies. It is not known whether these associations reflect independent causal processes. Our aim was to evaluate independent causal roles of fat-free mass and fat mass on AF. METHODS AND RESULTS We conducted a large observational study to estimate the associations between fat-free mass and fat mass on incident AF in the UK Biobank (N = 487 404, N events = 10 365). Genome-wide association analysis was performed to obtain genetic instruments for Mendelian randomization (MR). We evaluated the causal effects of fat-free mass and fat mass on AF with two-sample method by using genetic associations from AFGen consortium as outcome. Finally, we evaluated independent causal effects of fat-free mass and fat mass with multivariate MR. Both fat-free mass and fat mass had observational associations with incident AF [hazard ratio (HR) = 1.77, 95% confidence interval (CI) 1.72-1.83; HR = 1.40, 95% CI 1.37-1.43 per standard deviation increase in fat-free and fat mass, respectively]. The causal effects using the inverse-variance weighted method were 1.55 (95% CI 1.38-1.75) for fat-free mass and 1.30 (95% CI 1.17-1.45) for fat mass. Weighted median, Egger regression, and penalized methods showed similar estimates. The multivariate MR analysis suggested that the causal effects of fat-free and fat mass were independent of each other (causal risk ratios: 1.37, 95% CI 1.06-1.75; 1.28, 95% CI 1.03-1.58). CONCLUSION Genetically programmed increases in fat-free mass and fat mass independently cause an increased risk of AF.
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Affiliation(s)
- Emmi Tikkanen
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University, 300 Pasteur Dr, Stanford, CA, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, EpiHubben, MTC-huset, Uppsala, Sweden
| | - Joshua W Knowles
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University, 300 Pasteur Dr, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, 300 Pasteur Dr, Stanford, CA, USA
| | - Marco Perez
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA, USA
| | - Stephen Burgess
- MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge Biomedical Campus, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK
| | - Erik Ingelsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University, 300 Pasteur Dr, Stanford, CA, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, EpiHubben, MTC-huset, Uppsala, Sweden
- Stanford Diabetes Research Center, Stanford University, 300 Pasteur Dr, Stanford, CA, USA
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161
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162
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Seo YG, Lim H, Kim Y, Ju YS, Lee HJ, Jang HB, Park SI, Park KH. The Effect of a Multidisciplinary Lifestyle Intervention on Obesity Status, Body Composition, Physical Fitness, and Cardiometabolic Risk Markers in Children and Adolescents with Obesity. Nutrients 2019; 11:nu11010137. [PMID: 30634657 PMCID: PMC6356576 DOI: 10.3390/nu11010137] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 01/03/2019] [Accepted: 01/05/2019] [Indexed: 12/02/2022] Open
Abstract
This study aimed to develop a multidisciplinary lifestyle intervention program targeted at children and adolescents with moderate to severe obesity, and assess the additional effects of exercise intervention when compared to usual care. Overall, the 103 enrolled participants were ≥85th percentile of age and sex-specific body mass index (BMI). Participants were divided into groups that received 16 weeks of either usual care or exercise intervention. The BMI z-score of the overall completers decreased by about 0.05 after the 16-week intervention (p = 0.02). After the intervention, only the exercise group had a significantly lower BMI z-score than the baseline score by about 0.1 (p = 0.03), but no significant group by time interaction effects were observed. At the 16-week follow-up, significant group by time interaction effects were observed in percentage body fat (%BF) (β = −1.52, 95%CI = −2.58–−0.45), lean body mass (LM) (β = 1.20, 95%CI = 0.12–2.29), diastolic blood pressure (β = −5.24, 95%CI = −9.66–−0.83), high-sensitivity C-reactive protein (β = −1.67, 95%CI = −2.77–−1.01), and wall sit test score (β = 50.74, 95%CI = 32.30–69.18). We developed a moderate-intensity intervention program that can be sustained in the real-world setting and is practically applicable to both moderate and severe obesity. After interventions, the exercise group had lower %BF and cardiometabolic risk markers, and higher LM and leg muscle strength compared to the usual care group.
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Affiliation(s)
- Young-Gyun Seo
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Gyeonggi-do 14068, Korea.
| | - Hyunjung Lim
- Department of Medical Nutrition, Kyung Hee University, Yongin, Gyeonggi-do 17104, Korea.
| | - YoonMyung Kim
- University College, Yonsei University International Campus, Incheon 21983, Korea.
| | - Young-Su Ju
- Department of Occupational and Environmental Medicine, Hallym University Sacred Heart Hospital, Anyang, Gyeonggi-do 14068, Korea.
| | - Hye-Ja Lee
- Center for Biomedical Sciences, Korea National Institute of Health, Cheongju, Chungbuk 28159, Korea.
| | - Han Byul Jang
- Center for Biomedical Sciences, Korea National Institute of Health, Cheongju, Chungbuk 28159, Korea.
| | - Sang Ick Park
- Center for Biomedical Sciences, Korea National Institute of Health, Cheongju, Chungbuk 28159, Korea.
| | - Kyung Hee Park
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Gyeonggi-do 14068, Korea.
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163
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Heianza Y, Qi L. Impact of Genes and Environment on Obesity and Cardiovascular Disease. Endocrinology 2019; 160:81-100. [PMID: 30517623 PMCID: PMC6304107 DOI: 10.1210/en.2018-00591] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 11/28/2018] [Indexed: 12/16/2022]
Abstract
Obesity and abdominal obesity have been closely related to cardiovascular outcomes, and recent evidence has indicated that environmental and genetic factors act in concert in determining the risks of these conditions. Improving adherence to healthy lifestyle habits and healthy dietary patterns can at least partly counteract genetic variations related to risks of obesity and cardiovascular disease (CVD). Other factors, such as epigenetic alterations, may also modulate a relationship between genetic susceptibility and these disorders. In this review, we highlight data from recent studies on gene and environmental risk factors for obesity and CVD, and describe how these findings might inform understanding of the complex roles of interactions between genes and environmental factors in the development of obesity and CVD.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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164
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Doherty A, Smith-Byrne K, Ferreira T, Holmes MV, Holmes C, Pulit SL, Lindgren CM. GWAS identifies 14 loci for device-measured physical activity and sleep duration. Nat Commun 2018; 9:5257. [PMID: 30531941 PMCID: PMC6288145 DOI: 10.1038/s41467-018-07743-4] [Citation(s) in RCA: 240] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 11/22/2018] [Indexed: 01/09/2023] Open
Abstract
Physical activity and sleep duration are established risk factors for many diseases, but their aetiology is poorly understood, partly due to relying on self-reported evidence. Here we report a genome-wide association study (GWAS) of device-measured physical activity and sleep duration in 91,105 UK Biobank participants, finding 14 significant loci (7 novel). These loci account for 0.06% of activity and 0.39% of sleep duration variation. Genome-wide estimates of ~ 15% phenotypic variation indicate high polygenicity. Heritability is higher in women than men for overall activity (23 vs. 20%, p = 1.5 × 10-4) and sedentary behaviours (18 vs. 15%, p = 9.7 × 10-4). Heritability partitioning, enrichment and pathway analyses indicate the central nervous system plays a role in activity behaviours. Two-sample Mendelian randomisation suggests that increased activity might causally lower diastolic blood pressure (beta mmHg/SD: -0.91, SE = 0.18, p = 8.2 × 10-7), and odds of hypertension (Odds ratio/SD: 0.84, SE = 0.03, p = 4.9 × 10-8). Our results advocate the value of physical activity for reducing blood pressure.
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Affiliation(s)
- Aiden Doherty
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.
- Nuffield Department of Population Health, BHF Centre of Research Excellence, University of Oxford, Oxford, OX3 7LF, UK.
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK.
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Teresa Ferreira
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Michael V Holmes
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Chris Holmes
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- Department of Statistics, University of Oxford, Oxford, OX1 3LB, UK
| | - Sara L Pulit
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA
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165
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Hamer M, O'Donovan G, Stamatakis E. Association between physical activity and sub-types of cardiovascular disease death causes in a general population cohort. Eur J Epidemiol 2018; 34:483-487. [PMID: 30417220 PMCID: PMC6456476 DOI: 10.1007/s10654-018-0460-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 10/30/2018] [Indexed: 12/21/2022]
Abstract
Physical activity is thought to be cardioprotective, but associations with different subtypes of cardiovascular disease (CVD) are poorly understood. We examined associations between physical activity and seven major CVD death causes. The sample comprised 65,093 adults (aged 58 ± 12 years, 45.4% men) followed up over mean [SD] 9.4 ± 4.5 years, recruited from The Health Survey for England and the Scottish Health Surveys. A CVD diagnosis was reported in 9.2% of the sample at baseline. Physical activity was self-reported. Outcomes were subtypes of CVD death; acute myocardial infarction; chronic ischaemic heart disease; pulmonary heart disease; a composite of cardiac arrest, arrhythmias, and sudden cardiac death; heart failure; cerebrovascular; composite of aortic aneurysm and other peripheral vascular diseases. There were 3050 CVD deaths (30.8% of all deaths). In Cox proportional hazards models adjusted for confounders, physical activity was associated with reduced relative risk of all CVD outcomes; compared with the lowest, the highest physical activity quintile was associated with reduced risk of acute myocardial infarction (Hazard ratio 0.66: 95% CI 0.50, 0.89), chronic ischaemic heart disease (0.49: 0.38, 0.64), pulmonary heart disease (0.48: 0.22, 1.07), arrhythmias (0.18: 0.04, 0.76); heart failure (0.35: 0.20, 0.63), cerebrovascular events (0.53: 0.38, 0.75); aneurysm and peripheral vascular diseases (0.54: 0.34, 0.93). Results were largely consistent across participants with and without existing CVD at baseline. Physical activity was associated with reduced risk of seven major CVD death causes. Protective benefits were apparent even at levels of activity below the current recommendations.
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Affiliation(s)
- Mark Hamer
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, LE11 3TU, UK. .,Department of Epidemiology and Public Health, University College London, London, WC1E 6BT, UK.
| | - Gary O'Donovan
- School of Medicine, Universidad de los Andes, Bogotá, Colombia
| | - Emmanuel Stamatakis
- Department of Epidemiology and Public Health, University College London, London, WC1E 6BT, UK.,Charles Perkins Centre Epidemiology Unit, University of Sydney, Sydney, Australia.,Prevention Research Collaboration, School of Public Health, University of Sydney, Sydney, Australia
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166
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Levin MG, Kember RL, Judy R, Birtwell D, Williams H, Arany Z, Giri J, Guerraty M, Cappola T, Regeneron Genetics Center, Chen J, Rader DJ, Damrauer SM. Genomic Risk Stratification Predicts All-Cause Mortality After Cardiac Catheterization. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2018; 11:e002352. [PMID: 30571185 PMCID: PMC6310018 DOI: 10.1161/circgen.118.002352] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 10/14/2018] [Indexed: 01/23/2023]
Abstract
BACKGROUND Coronary artery disease (CAD) is influenced by genetic variation and traditional risk factors. Polygenic risk scores (PRS), which can be ascertained before the development of traditional risk factors, have been shown to identify individuals at elevated risk of CAD. Here, we demonstrate that a genome-wide PRS for CAD predicts all-cause mortality after accounting for not only traditional cardiovascular risk factors but also angiographic CAD itself. METHODS Individuals who underwent coronary angiography and were enrolled in an institutional biobank were included; those with prior myocardial infarction or heart transplant were excluded. Using a pruning-and-thresholding approach, a genome-wide PRS comprised of 139 239 variants was calculated for 1503 participants who underwent coronary angiography and genotyping. Individuals were categorized into high PRS (hiPRS) and low-PRS control groups using the maximally selected rank statistic. Stratified analysis based on angiographic findings was also performed. The primary outcome was all-cause mortality following the index coronary angiogram. RESULTS Individuals with hiPRS were younger than controls (66 years versus 69 years; P=2.1×10-5) but did not differ by sex, body mass index, or traditional risk-factor profiles. Individuals with hiPRS were at significantly increased risk of all-cause mortality after cardiac catheterization, adjusting for traditional risk factors and angiographic extent of CAD (hazard ratio, 1.6; 95% CI, 1.2-2.2; P=0.004). The strongest increase in risk of all-cause mortality conferred by hiPRS was seen among individuals without angiographic CAD (hazard ratio, 2.4; 95% CI, 1.1-5.5; P=0.04). In the overall cohort, adding hiPRS to traditional risk assessment improved prediction of 5-year all-cause mortality (area under the receiver-operating curve 0.70; 95% CI, 0.66-0.75 versus 0.66; 95% CI, 0.61-0.70; P=0.001). CONCLUSIONS A genome-wide PRS improves risk stratification when added to traditional risk factors and coronary angiography. Individuals without angiographic CAD but with hiPRS remain at significantly elevated risk of mortality.
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Affiliation(s)
- Michael G. Levin
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Rachel L. Kember
- Departments of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Renae Judy
- Departments of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David Birtwell
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Heather Williams
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Zolt Arany
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jay Giri
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Marie Guerraty
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Tom Cappola
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Jinbo Chen
- Departments of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Daniel J. Rader
- Departments of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Departments of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Scott M. Damrauer
- Departments of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
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167
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Lim GB. Fitness ameliorates genetic risk of heart disease. Nat Rev Cardiol 2018; 15:380. [PMID: 29700401 DOI: 10.1038/s41569-018-0019-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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168
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Tikkanen E, Gustafsson S, Amar D, Shcherbina A, Waggott D, Ashley EA, Ingelsson E. Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank. Sci Rep 2018; 8:6451. [PMID: 29691431 PMCID: PMC5915424 DOI: 10.1038/s41598-018-24735-y] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 04/10/2018] [Indexed: 11/11/2022] Open
Abstract
We performed a large genome-wide association study to discover genetic variation associated with muscular strength, and to evaluate shared genetic aetiology with and causal effects of muscular strength on several health indicators. In our discovery analysis of 223,315 individuals, we identified 101 loci associated with grip strength (P <5 × 10-8). Of these, 64 were associated (P < 0.01 and consistent direction) also in the replication dataset (N = 111,610). eQTL analyses highlighted several genes known to play a role in neuro-developmental disorders or brain function, and the results from meta-analysis showed a significant enrichment of gene expression of brain-related transcripts. Further, we observed inverse genetic correlations of grip strength with cardiometabolic traits, and positive correlation with parents' age of death and education. We also showed that grip strength had shared biological pathways with indicators of frailty, including cognitive performance scores. By use of Mendelian randomization, we provide evidence that higher grip strength is protective of both coronary heart disease (OR = 0.69, 95% CI 0.60-0.79, P < 0.0001) and atrial fibrillation (OR = 0.75, 95% CI 0.62-0.90, P = 0.003). In conclusion, our results show shared genetic aetiology between grip strength, and cardiometabolic and cognitive health; and suggest that maintaining muscular strength could prevent future cardiovascular events.
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Affiliation(s)
- Emmi Tikkanen
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - David Amar
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Anna Shcherbina
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Daryl Waggott
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Erik Ingelsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, 94305, USA.
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