Xuedi Li1,2, Charles D G Keown-Stoneman3,4, Gerald Lebovic3,5, Jessica A Omand2, Khosrow Adeli6,7, Jill K Hamilton8,9, Anthony J Hanley1,4, Muhammad Mamdani5,10,11,12, Brian W McCrindle2,8,13, John L Sievenpiper1,3, Mark S Tremblay14,15, Jonathon L Maguire1,3,5,8,16, Patricia C Parkin2,5,8, Catherine S Birken1,2,5,8. 1. Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. 2. Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada. 3. Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada. 4. Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. 5. Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. 6. Clinical Biochemistry, The Hospital for Sick Children, Toronto, Ontario, Canada. 7. Department of Biochemistry and Laboratory Medicine & Pathology, University of Toronto, Toronto, Ontario, Canada. 8. Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. 9. Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada. 10. Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada. 11. Li Ka Shing Centre for Healthcare Analytics Research and Training, St. Michael's Hospital, Toronto, Ontario, Canada. 12. Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada. 13. Preventative Cardiology, The Hospital for Sick Children, Toronto, Ontario, Canada. 14. Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada. 15. Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada. 16. Department of Pediatrics, St. Michael's Hospital, Toronto, Ontario, Canada.
Abstract
BACKGROUND: Rapid growth is associated with increased cardiometabolic risk (CMR) in adolescence and adulthood. Little is known about whether the association between rapid growth and increased CMR originates in early childhood. OBJECTIVES: To identify age and sex standardized body mass index (zBMI) trajectories and to examine the association between zBMI trajectories and CMR outcomes in children 0 to 60 months. STUDY DESIGN: A longitudinal cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!) in Toronto, Canada. Participants had repeated measures of weight and length or height performed from birth to 60 months of age. Latent class mixed modelling was used to identify the zBMI trajectories. Linear regressions were performed to determine the association between zBMI trajectories and the primary outcome, a CMR score, quantified as the sum of age- and sex- standardized waist circumference, systolic blood pressure, glucose, log-triglycerides and negative high-density lipoprotein cholesterol (HDL-C), divided by √5. Secondary outcomes were the individual components of the CMR formula as well as diastolic blood pressure and non-HDL-C. RESULTS: Four BMI trajectories were identified among the 1166 children. After adjusting for all covariates, children in the rapidly accelerating trajectory had increased total CMR score (β = 1.38, 95% CI 0.77; 1.99, P < .001) and increased waist circumference score (β = 2.39, 95% CI 1.92; 2.86, P < .001) compared to the stable low group. CONCLUSIONS: Rapid growth during early childhood is associated with increased CMR in preschool children, largely driven by larger waist circumference.
BACKGROUND: Rapid growth is associated with increased cardiometabolic risk (CMR) in adolescence and adulthood. Little is known about whether the association between rapid growth and increased CMR originates in early childhood. OBJECTIVES: To identify age and sex standardized body mass index (zBMI) trajectories and to examine the association between zBMI trajectories and CMR outcomes in children 0 to 60 months. STUDY DESIGN: A longitudinal cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!) in Toronto, Canada. Participants had repeated measures of weight and length or height performed from birth to 60 months of age. Latent class mixed modelling was used to identify the zBMI trajectories. Linear regressions were performed to determine the association between zBMI trajectories and the primary outcome, a CMR score, quantified as the sum of age- and sex- standardized waist circumference, systolic blood pressure, glucose, log-triglycerides and negative high-density lipoprotein cholesterol (HDL-C), divided by √5. Secondary outcomes were the individual components of the CMR formula as well as diastolic blood pressure and non-HDL-C. RESULTS: Four BMI trajectories were identified among the 1166 children. After adjusting for all covariates, children in the rapidly accelerating trajectory had increased total CMR score (β = 1.38, 95% CI 0.77; 1.99, P < .001) and increased waist circumference score (β = 2.39, 95% CI 1.92; 2.86, P < .001) compared to the stable low group. CONCLUSIONS: Rapid growth during early childhood is associated with increased CMR in preschool children, largely driven by larger waist circumference.
Authors: Leigh M Vanderloo; Magdalena Janus; Jessica A Omand; Charles D G Keown-Stoneman; Cornelia M Borkhoff; Eric Duku; Muhammad Mamdani; Gerald Lebovic; Patricia C Parkin; Janis Randall Simpson; Mark S Tremblay; Jonathon L Maguire; Catherine S Birken Journal: BMC Public Health Date: 2022-02-23 Impact factor: 3.295
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Authors: Monika Szpunar; Leigh M Vanderloo; Brianne A Bruijns; Stephanie Truelove; Shauna M Burke; Jason Gilliland; Jennifer D Irwin; Patricia Tucker Journal: Health Educ Behav Date: 2022-08-16