Abstract
Objectives
(1) To explore individual and family characteristics related to anthropometric and cardiometabolic health indicators and (2) examine whether characteristics that correlate with cardiometabolic health indicators differ across severity of obesity at time of entry to Canadian pediatric weight management clinics.
Methods
We conducted a cross-sectional analysis of 2–17 year olds with overweight or obesity who registered in the CANadian Pediatric Weight Management Registry (CANPWR) between May 2013 and October 2017 prior to their first clinic visit. Individual modifiable health behaviors included dietary intake, physical activity, screen time, and sleep. Family characteristics included parental BMI, family medical history, socioeconomic status and family structure. Linear mixed effects stepwise regression analysis was performed to determine which characteristics were related to each health indicator: BMI z-score; waist circumference; waist to height ratio; blood pressure; glycemia; HDL cholesterol; non-HDL cholesterol; triglycerides.
Results
This study included 1296 children (mean age ± standard deviation: 12.1 ± 3.5 years; BMI z-score: 3.55 ± 1.29; 95.3% with obesity). Hours spent sleeping (estimated β = −0.10; 95% CI [−0.15, −0.05], p = 0.0001), hours per week of organized physical activity (estimated β = −0.32; 95% CI [−0.53, −0.11], p = 0.0026), daily sugared drink intake (estimated β = 0.06; 95% CI [0.01, 0.10], p = 0.0136) and maternal BMI (estimated β = 0.03; 95% CI [0.02, 0.04], p < 0.0001) were associated with BMI z-score (adj. R2 = 0.2084), independent of other individual and family characteristics. Physical activity, total sugared drink intake and sleep duration were associated with glycemia and non-HDL cholesterol, independent of child BMI z-score. However, irrespective of obesity severity, little of the variance (0.86–11.1%) in cardiometabolic health indicators was explained by individual modifiable health behaviors.
Conclusions
Physical activity, total sugared drink intake and hours spent sleeping were related to anthropometric and some cardiometabolic health indicators in children entering pediatric weight management programs. This highlights the importance of these modifiable health behaviors on multiple health indicators in children with obesity.
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References
Global Atlas on Childhood Obesity. In, 2019.
Hadjiyannakis S, Ibrahim Q, Li J, Ball GD, Buchholz A, Hamilton JK, et al. Obesity class versus the Edmonton Obesity Staging System for Pediatrics to define health risk in childhood obesity: results from the CANPWR cross-sectional study. Lancet Child Adolesc Health. 2019;3:398–407.
Ward ZJ, Long MW, Resch SC, Giles CM, Cradock AL, Gortmaker SL. Simulation of growth trajectories of childhood obesity into adulthood. N Engl J Med. 2017;377:2145–53.
Sommer A, Twig G. The impact of childhood and adolescent obesity on cardiovascular risk in adulthood: a systematic review. Curr Diabetes Rep. 2018;18:91.
Weihrauch-Blüher S, Schwarz P, Klusmann J-H. Childhood obesity: increased risk for cardiometabolic disease and cancer in adulthood. Metabolism. 2019;92:147–52.
Chai LK, Collins C, May C, Brain K, See DW, Burrows T. Effectiveness of family-based weight management interventions for children with overweight and obesity: an umbrella review. JBI Database Syst Rev Implement Rep. 2019;17:1341–427.
Wittmeier K, Brockman GH, Garcia AP, Woodgate RL, Ball GD, Wicklow B, et al. Access to multidisciplinary care for pediatric weight management: exploring perspectives of the health care team within Canada and the United States. Childhood Obesity. 2019;15:363–70.
Whitlock EP, O’Connor EA, Williams SB, Beil TL, Lutz KW. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010;125:e396–e418.
Dalla Valle M, Laatikainen T, Lehikoinen M, Nykänen P, Jääskeläinen J. Paediatric obesity treatment had better outcomes when children were younger, well motivated and did not have acanthosis nigricans. Acta Paediatr. 2017;106:1842–50.
Nugent R, Althouse A, Yaqub Y, Nugent K, Raj R. Modeling the relation between obesity and sleep parameters in children referred for dietary weight reduction intervention. South Med J. 2014;107:473–80.
Gorecki MC, Feinglass JM, Binns HJ. Characteristics associated with successful weight management in youth with obesity. J Pediatr. 2019;212:35–43.
Sondike SB, Copperman N, Jacobson MS. Effects of a low-carbohydrate diet on weight loss and cardiovascular risk factor in overweight adolescents. J Pediatr. 2003;142:253–8.
Zarychta K, Mullan B, Luszczynska A. It doesn’t matter what they say, it matters how they behave: parental influences and changes in body mass among overweight and obese adolescents. Appetite. 2016;96:47–55.
Kalarchian MA, Levine MD, Arslanian SA, Ewing LJ, Houck PR, Cheng Y, et al. Family-based treatment of severe pediatric obesity: randomized, controlled trial. Pediatrics. 2009;124:1060–8.
White MJ, Hoffman J, Armstrong S, Skinner AC. Body mass index change between referral to and enrollment in pediatric weight management. Clinical Pediatr. 2020;59:70–74.
Kumar S, King EC, Christison AL, Kelly AS, Ariza AJ, Borzutzky C, et al. Health outcomes of youth in clinical pediatric weight management programs in POWER. J Pediatr. 2019;208:57–65. e4.
Skinner AC, Perrin EM, Moss LA, Skelton JA. Cardiometabolic risks and severity of obesity in children and young adults. N Engl J Med. 2015;373:1307–17.
World Health Organization. WHO child growth standards: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: methods and development. 2006.
Morrison KM, Damanhoury S, Buchholz A, Chanoine J-P, Lambert M, Tremblay MS, et al. The CANadian pediatric weight management registry (CANPWR): study protocol. BMC Pediatr. 2014;14:161.
Mehta SK. Waist circumference to height ratio in children and adolescents. Clin Pediatr. 2015;54:652–8.
Sardinha LB, Santos DA, Silva AM, Grontved A, Andersen LB, Ekelund U. A comparison between BMI, waist circumference, and waist-to-height ratio for identifying cardio-metabolic risk in children and adolescents. PloS One. 2016;11:1–14.
Hara M, Saitou E, Iwata F, Okada T, Harada K. Waist-to-height ratio is the best predictor of cardiovascular disease risk factors in Japanese schoolchildren. J Atherosc Thrombosis. 2002;9:127–32.
Dileepan K, Feldt MM. Type 2 diabetes mellitus in children and adolescents. Pediatr Rev. 2013;34:541–8.
Daniels SR.The Committee on Nutrition Lipid screening and cardiovascular health in childhood. Pediatrics. 2008;122:198–208.
National High Blood Pressure Education Program. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents, US Department of Health and Human Services, National Institutes of Health…, 2005.
Davison KK, Birch LL. Childhood overweight: a contextual model and recommendations for future research. Obesity Rev. 2001;2:159–71.
Tremblay M, Wolfson M, Connor SG. Canadian Health Measures Survey: rationale, background and overview. Health Rep. 2007;18:7–20.
Faul F, Erdfelder E, Lang A-G, Buchner AG. Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175–91.
Faul F, Erdfelder E, Buchner A, Lang A-G. Statistical power analyses using G* Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41:1149–60.
Diabetes Canada Clinical Practice Guidelines Expert Committee. Diabetes Canada 2018 clinical practice guidelines for the prevention and management of diabetes in Canada. Can J Diabetes. 2018;42:S1–S325.
Tremblay MS, Carson V, Chaput J-P, Connor Gorber S, Dinh T, Duggan M, et al. Canadian 24-hour movement guidelines for children and youth: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2016;41:S311–S327.
Hills AP, Andersen LB, Byrne NM. Physical activity and obesity in children. Br J Sports Med. 2011;45:866–70.
Lavie CJ, Ozemek C, Carbone S, Katzmarzyk PT, Blair SN. Sedentary behavior, exercise, and cardiovascular health. Circ Res. 2019;124:799–815.
Dunton G, McConnell R, Jerrett M, Wolch J, Lam C, Gilliland F, et al. Organized physical activity in young school children and subsequent 4-year change in body mass index. Arch Pediatr Adolesc Med. 2012;166:713–8.
Curtis P. The experiences of young people with obesity in secondary school: some implications for the healthy school agenda. Health Soc Care Community. 2008;16:410–8.
Olds TS, Ferrar KE, Schranz NK, Maher CA. Obese adolescents are less active than their normal-weight peers, but wherein lies the difference? J Adolesc Health. 2011;48:189–95.
Chen X, Beydoun MA, Wang Y. Is sleep duration associated with childhood obesity? A systematic review and meta‐analysis. Obesity. 2008;16:265–74.
Stiglic N, Viner RM. Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews. BMJ Open. 2019;9:e023191.
Lehto R, Ray C, Lahti-Koski M, Roos E. Health behaviors, waist circumference and waist-to-height ratio in children. Eur J Clin Nutr. 2011;65:841–8.
LeBourgeois MK, Hale L, Chang A-M, Akacem LD, Montgomery-Downs HE, Buxton OM. Digital media and sleep in childhood and adolescence. Pediatrics. 2017;140:S92–S96.
McLean N, Griffin S, Toney K, Hardeman W. Family involvement in weight control, weight maintenance and weight-loss interventions: a systematic review of randomised trials. Int J Obesity. 2003;27:987–1005.
Staiano AE, Marker AM, Comeaux J, Frelier JM, Hsia DS, Broyles ST. Family-based behavioral treatment for childhood obesity: caretaker-reported barriers and facilitators. Ochsner J. 2017;17:83–92.
Gibson LY, Byrne SM, Davis EA, Blair E, Jacoby P, Zubrick SR. The role of family and maternal factors in childhood obesity. Medical journal of Australia. 2007;186:591–5.
Freeman E, Fletcher R, Collins C, Morgan P, Burrows T, Callister R. Preventing and treating childhood obesity: time to target fathers. Int J obesity. 2012;36:12–15.
Skelton J, Buehler C, Irby M, Grzywacz J. Where are family theories in family-based obesity treatment? Conceptualizing the study of families in pediatric weight management. Int J Obesity. 2012;36:891–900.
Kawasaki M, Arata N, Miyazaki C, Mori R, Kikuchi T, Ogawa Y. et al. Obesity and abnormal glucose tolerance in offspring of diabetic mothers: a systematic review and meta-analysis. PloS One. 2018;13:1–19.
Hagman E, Reinehr T, Kowalski J, Ekbom A, Marcus C, Holl R. Impaired fasting glucose prevalence in two nationwide cohorts of obese children and adolescents. Int J Obesity. 2014;38:40–45.
Corder K, Ogilvie D, van Sluijs EM. Invited commentary: physical activity over the life course—whose behavior changes, when, and why? Am J Epidemiol. 2009;170:1078–81.
Acknowledgements
The CANPWR study received funding support from the Canadian Institutes of Health Research (CIHR), the Population Health Research Institute (PHRI), McMaster Children’s Hospital, and McMaster University. PGM was funded by a CIHR Fellowship FRN 164649. JKH is supported with unrestricted research funds by the University of Toronto Mead Johnson Chair in Child Nutrition. GDCB was supported by an Alberta Health Services Chair in Obesity Research. AML was supported by a FRQS Clinical Research Scholar – Junior 2 Award. The CANPWR investigators would like to acknowledge the exceptional support of the research teams at each clinic and at the central coordinating site (PHRI) as well as all of the children and their families for participating in this study.
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PGM wrote the first draft of this manuscript supported by the writing group comprised of IZ, JKH, JH, GDCB, and KMM. IZ, JKH, JH, GDCB, AB, AML, LL, JPC, MST, LT, KMM contributed to study design, study conduct, data collection and interpretation of findings. KMM also oversaw the acquisition of funding and study design. RM conducted the analysis, LT contributed to analytical review. All authors edited the manuscript and approved the final version.
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PGM, IZ, RM, AB, AL, LL, MST, and JPC have no competing interests. IZ is an advisory board member for Novo Nordisk, Canada and Abbot Diabetes. JH is a site investigator for a study sponsored by Levo Therapeutics, Canada, and an advisory board member for Novo Nordisk. GDCB and LL are advisory board members for Novo Nordisk. KMM is an advisory board member for Novo Nordisk and Akcea Therpaeutics, Canada.
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McPhee, P.G., Zenlea, I., Hamilton, J.K. et al. Individual and family characteristics associated with health indicators at entry into multidisciplinary pediatric weight management: findings from the CANadian Pediatric Weight management Registry (CANPWR). Int J Obes 46, 85–94 (2022). https://doi.org/10.1038/s41366-021-00959-3
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DOI: https://doi.org/10.1038/s41366-021-00959-3