Dose–response relationship between physical activity and cardiometabolic risk in obese children and adolescents: A pre-post quasi-experimental study

Objective: This study aims to explore the dose-response relationship between the daily duration of moderate to vigorous physical activity and the improvement of cardiometabolic risk indicators in obese children and adolescents. Methods: Seventy-seven obese children and adolescents aged 10–17 years were randomly recruited for a 4-week exercise intervention in a closed camp during 2019–2021, physical activity was monitored by ActiGraph GT3X + to obtain daily MVPA duration, and the improvement of CMR indicators were reflected by the changes (Δ) of waist circumference, systolic blood pressure, diastolic blood pressure, total cholesterol, triglyceride , high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting insulin, fasting plasma glucose, and homeostasis model assessment of insulin resistance before and after the intervention, calculated as ‘‘Δ+indicator” = values after intervention–values before intervention. The groups were divided into different doses of Q1∼Q3 according to the daily MVPA duration from low to high. The differences in the improvement of different dose groups were compared by one-way analysis of covariance, and the dose-response relationship between MVPA duration and CMR indicators improvement was analyzed by linear regression and piecewise regression. The nonlinear relationship was analyzed by restricted cubic spline. Results: 1) Compared with indicators before the intervention, WC, SBP, DBP, TC, TG, HDL-C, LDL-C, FINS, and HOMA-IR were significantly lower after the intervention (p-value < 0.05). 2) The dose-response relationship between MVPA and LDL-C improvement was non-linear (P-Nonlinear < 0.05). When MVPA >77.1min/day, ΔLDL-C further decreased with the increase of MVPA duration [β = −0.009, 95% confidence interval (CI): −0.013, −0.005], and when MVPA ≤77.1min/day, increasing the MVPA duration did not increase the improvement of ΔLDL-C. Conclusion: There was a nonlinear dose-response relationship between the daily MVPA duration and LDL-C improvement in obese children and adolescents. In order to obtain more significant improvement in LDL-C through increased MVPA duration, MVPA duration should be higher than 77.1 min/day.

[1]  M. Shapiro,et al.  There is urgent need to treat atherosclerotic cardiovascular disease risk earlier, more intensively, and with greater precision: A review of current practice and recommendations for improved effectiveness , 2022, American journal of preventive cardiology.

[2]  Jian‐Jun Li,et al.  Landscape of cardiometabolic risk factors in Chinese population: a narrative review , 2022, Cardiovascular Diabetology.

[3]  C-c Meng,et al.  Effects of school-based high-intensity interval training on body composition, cardiorespiratory fitness and cardiometabolic markers in adolescent boys with obesity: a randomized controlled trial , 2022, BMC Pediatrics.

[4]  K. Choi,et al.  Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes , 2022, Diabetes & metabolism journal.

[5]  M. Izquierdo,et al.  Exercise dose on hepatic fat and cardiovascular health in adolescents with excess of adiposity , 2021, Pediatric obesity.

[6]  Jing-xin Liu,et al.  Effects of Extreme Weight Loss on Cardiometabolic Health in Children With Metabolic Syndrome: A Metabolomic Study , 2021, Frontiers in Physiology.

[7]  L. Johnston,et al.  Appraisal of Clinical Practice Guideline: Canadian 24-hour movement guidelines for children and youth: An integration of physical activity, sedentary behaviour, and sleep. , 2021, Journal of physiotherapy.

[8]  C. Lavie,et al.  Weight loss and its influence on high-density lipoprotein cholesterol (HDL-C) concentrations: A noble clinical hesitation. , 2021, Clinical nutrition ESPEN.

[9]  D. Warburton,et al.  Association between physical activity level and cardiovascular risk factors in adolescents living with type 1 diabetes mellitus: a cross-sectional study , 2021, Cardiovascular Diabetology.

[10]  Charlene A. Wong,et al.  The Dose-Response Relationship Between Physical Activity and Cardiometabolic Health in Adolescents. , 2021, American journal of preventive medicine.

[11]  C. Sit,et al.  Validity of accelerometry for predicting physical activity and sedentary time in ambulatory children and young adults with cerebral palsy , 2020, Journal of exercise science and fitness.

[12]  M. Buman,et al.  World Health Organization 2020 guidelines on physical activity and sedentary behaviour , 2020, British Journal of Sports Medicine.

[13]  I. López-Fernández,et al.  A comparison of the utility of different step-indices to translate the physical activity recommendation in adolescents , 2020, Journal of sports sciences.

[14]  C. Birken,et al.  Sex and gender differences in childhood obesity: contributing to the research agenda , 2020, BMJ nutrition, prevention & health.

[15]  U. Ekelund,et al.  Changes in Physical Activity and Sedentary Patterns on Cardiometabolic Outcomes in the Transition to Adolescence: ICAD 2.0. , 2020, The Journal of pediatrics.

[16]  L. DiPietro,et al.  Physical Activity and Cardiometabolic Risk Factor Clustering in Young Adults with Obesity , 2019, Medicine and science in sports and exercise.

[17]  A. Catena,et al.  Sedentarism, Physical Activity, Steps, and Neurotrophic Factors in Obese Children. , 2019, Medicine and science in sports and exercise.

[18]  J. Mi,et al.  Regional Adipose Compartments Confer Different Cardiometabolic Risk in Children and Adolescents:: The China Child and Adolescent Cardiovascular Health Study. , 2019, Mayo Clinic proceedings.

[19]  Zhen-bo Cao,et al.  Physical activity, screen viewing time, and overweight/obesity among Chinese children and adolescents: an update from the 2017 physical activity and fitness in China—the youth study , 2019, BMC Public Health.

[20]  U. Ekelund,et al.  Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children , 2018, Scandinavian journal of medicine & science in sports.

[21]  S. Carlson,et al.  The Physical Activity Guidelines for Americans , 2018, JAMA.

[22]  Julie M. Harris,et al.  Health Effects of Overweight and Obesity in 195 Countries over 25 Years , 2018, Yearbook of Paediatric Endocrinology.

[23]  M. Carnethon,et al.  Objectively Measured Sedentary Behavior, Physical Activity, and Cardiometabolic Risk in Hispanic Youth: Hispanic Community Health Study/Study of Latino Youth , 2018, The Journal of clinical endocrinology and metabolism.

[24]  R. Davey,et al.  Cross-Sectional Associations of Reallocating Time Between Sedentary and Active Behaviours on Cardiometabolic Risk Factors in Young People: An International Children’s Accelerometry Database (ICAD) Analysis , 2018, Sports Medicine.

[25]  S. Magge,et al.  Cardiometabolic risk in obese children , 2018, Annals of the New York Academy of Sciences.

[26]  A. Danese,et al.  Childhood and Adolescent Adversity and Cardiometabolic Outcomes: A Scientific Statement From the American Heart Association , 2018, Circulation.

[27]  J. Stevens,et al.  Cardiometabolic Correlates of Physical Activity and Sedentary Patterns in U.S. Youth , 2017, Medicine and science in sports and exercise.

[28]  Joshua A. Salomon,et al.  Health Effects of Overweight and Obesity in 195 Countries over 25 Years. , 2017, The New England journal of medicine.

[29]  U. Ekelund,et al.  Moderate-to-vigorous physical activity, but not sedentary time, predicts changes in cardiometabolic risk factors in 10-y-old children: the Active Smarter Kids Study. , 2017, The American journal of clinical nutrition.

[30]  Francisco B. Ortega,et al.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations , 2017, Sports Medicine.

[31]  R. Rosenson The High-Density Lipoprotein Puzzle: Why Classic Epidemiology, Genetic Epidemiology, and Clinical Trials Conflict? , 2016, Arteriosclerosis, thrombosis, and vascular biology.

[32]  A. Cote,et al.  Obesity and Arterial Stiffness in Children: Systematic Review and Meta-Analysis , 2015, Arteriosclerosis, thrombosis, and vascular biology.

[33]  Christian Schweizer,et al.  National physical activity recommendations: systematic overview and analysis of the situation in European countries , 2015, BMC Public Health.

[34]  S. Doucette,et al.  Effects of aerobic training, resistance training, or both on percentage body fat and cardiometabolic risk markers in obese adolescents: the healthy eating aerobic and resistance training in youth randomized clinical trial. , 2014, JAMA pediatrics.

[35]  T. Lakka,et al.  Physical activity and sedentary behaviour in relation to cardiometabolic risk in children: cross-sectional findings from the Physical Activity and Nutrition in Children (PANIC) Study , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[36]  K. Singh,et al.  Physical Activity Guidelines for Children and Youth , 2013 .

[37]  F. Sera,et al.  Quality Control Methods in Accelerometer Data Processing: Defining Minimum Wear Time , 2013, PloS one.

[38]  J. Sallis,et al.  Using accelerometers in youth physical activity studies: a review of methods. , 2013, Journal of physical activity & health.

[39]  Barbara A Gower,et al.  Exercise dose and diabetes risk in overweight and obese children: a randomized controlled trial. , 2012, JAMA.

[40]  A. Remaley,et al.  Diet-Induced Weight Loss in Overweight or Obese Women and Changes in High-Density Lipoprotein Levels and Function , 2012, Obesity.

[41]  A. Dubey,et al.  Consensus physical activity guidelines for Asian Indians. , 2012, Diabetes technology & therapeutics.

[42]  R. Wang,et al.  Diet and Exercise Improve Neutrophil to Lymphocyte Ratio in Overweight Adolescents , 2011, International Journal of Sports Medicine.

[43]  Robert L Wilensky,et al.  Cholesterol efflux capacity, high-density lipoprotein function, and atherosclerosis. , 2011, The New England journal of medicine.

[44]  François Mariotti,et al.  Dose‐response analyses using restricted cubic spline functions in public health research , 2010, Statistics in medicine.

[45]  Dylan Thompson,et al.  Time course of changes in inflammatory markers during a 6-mo exercise intervention in sedentary middle-aged men: a randomized-controlled trial. , 2010, Journal of applied physiology.

[46]  John C. K. Wang,et al.  Effects of a 12-week exercise training programme on aerobic fitness, body composition, blood lipids and C-reactive protein in adolescents with obesity. , 2008, Annals of the Academy of Medicine, Singapore.

[47]  C. Compher,et al.  Accurate determination of energy needs in hospitalized patients. , 2007, Journal of the American Dietetic Association.

[48]  R. Turner,et al.  Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man , 1985, Diabetologia.

[49]  W. Kraus,et al.  Studies of a targeted risk reduction intervention through defined exercise (STRRIDE). , 2001, Medicine and science in sports and exercise.

[50]  Endy,et al.  Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults , 2000 .

[51]  R. Tracy,et al.  Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. , 1998, The New England journal of medicine.

[52]  I. Vuori,et al.  Characteristics of leisure time physical activity associated with decreased risk of premature all-cause and cardiovascular disease mortality in middle-aged men. , 1996, American journal of epidemiology.

[53]  J. B. Weir New methods for calculating metabolic rate with special reference to protein metabolism , 1949, The Journal of physiology.