Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-26T07:46:11.918Z Has data issue: false hasContentIssue false

Childhood waist growth curves and adult diabetes

Published online by Cambridge University Press:  23 September 2021

Matthew M. Carli
Affiliation:
Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA
Roy T. Sabo*
Affiliation:
Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA
Shumei S. Sun
Affiliation:
Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA
*
Address for correspondence: Roy T. Sabo, Department of Biostatistics, Virginia Commonwealth University, 830 East Main Street, Richmond, VA 23116, USA. Email: roy.sabo@vcuhealth.org

Abstract

Our primary objectives are to empirically identify distinct childhood groups based on trajectories of waist circumference (WC) and waist circumference index measurements, and then to estimate associations between these groups and adult diabetes incidence, as well as other outcomes, including blood pressure, body size, body composition, and hemoglobin levels. Childhood WC and height measurements as well as various adult measurements are taken from participants in the Fels Longitudinal Study. Childhood groups are identified using group-based trajectory modeling. Associations between the resulting group probabilities and adult outcomes are examined using mixed models. Our results show that distinct childhood groups are identifiable for both waist size measurements, with growth curves exhibited by these groups becoming distinguishably separate at around 4 years of age. Higher probabilities for groups exhibiting the larger waist size for either measurement were estimated to have higher risks of developing diabetes in adulthood. Associations were also observed between group probabilities and systolic blood pressure, diastolic blood pressure, and various anthropomorphic measurements, with most associations consistently occurring in early adulthood. These findings expand upon the existing literature, showing that childhood trends in waist size, distinguishable at ages as early as 4 years, are associated with adult Type-2 diabetes.

Type
Original Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Wang, Y, Lobstein, T. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes. 2006; 1, 1125.CrossRefGoogle ScholarPubMed
Guariguata, L, Whiting, DR, Hambleton, I, Beagley, J, Linnenkamp, U, Shaw, JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014; 103, 137149.CrossRefGoogle ScholarPubMed
Hannon, TS, Rao, G, Arslanian, SA. Childhood obesity and type 2 diabetes mellitus. Pediatrics. 2005; 116, 473480.CrossRefGoogle ScholarPubMed
Turley, M, Tobias, M, Paul, S. Non-fatal disease burden associated with excess body mass index and waist circumference in New Zealand adults. Aust Nz J Publ Health. 2006; 30, 231237.CrossRefGoogle ScholarPubMed
Sun, SS, Liang, R, Huang, TTK, et al. Childhood obesity predicts adult metabolic syndrome: the Fels Longitudinal Study. J Pediatr. 2008; 152, 191200.CrossRefGoogle ScholarPubMed
Schmidt, MD, Dwyer, T, Magnussen, CG, Venn, AJ. Predictive associations between alternative measures of childhood adiposity and adult cardio-metabolic health. Int J Obesity. 2010; 35, 3845.CrossRefGoogle ScholarPubMed
Yang, H, Huynh, QL, Venn, AJ, Dwyer, T, Marwick, TH. Associations of childhood and adult obesity with left ventricular structure and function. Int J Obesity. 2016; 41, 560568.CrossRefGoogle ScholarPubMed
Nagin, DS, Odgers, CL. Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010; 6, 109138.CrossRefGoogle ScholarPubMed
Péneau, S, Giudici, KV, Gusto, G, et al. Growth trajectories of body mass index during childhood: associated factors and health outcome at adulthood. J Pediatr. 2017; 186, 6471.CrossRefGoogle ScholarPubMed
Ziyab, AH, Karmaus, W, Kurukulaaratchy, RJ, Zhang, H, Arshad, SH. Developmental trajectories of body mass index from infancy to 18 years of age: prenatal determinants and health consequences. J Epidemiol Commun Health. 2014; 68, 934941.CrossRefGoogle ScholarPubMed
Feng, RN, Zhao, C, Wang, C, et al. BMI is strongly associated with hypertension, and waist circumference is strongly associated with Type 2 diabetes and dyslipidemia, in northern Chinese adults. J Epidemiol. 2012; 22, 317323.CrossRefGoogle ScholarPubMed
Roche, AF, Sun, SS. Human Growth: Assessment and Interpretation, 2003. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Roche, AF. Growth Maturation and Body Composition: The Fels Longitudinal Study 1929-1991, 1992. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Sabo, RT, Wang, A, Deng, Y, Sabo, CS, Sun, SS. Relationships between childhood growth parameters and adult blood pressure: the Fels Longitudinal Study. J Dev Orig Health Dis. 2017; 8, 113122.CrossRefGoogle ScholarPubMed
Lohman, TJ, Roche, AF, Martorell, R. Anthropometric Standardization Reference Manual, 1988. Human Kinetics, Champaign, IL.Google Scholar
Fagherazzi, G, Vilier, A, Affret, A, Balkau, B, Bonnet, F, Clavel-Chapelon, F. The association of body shape trajectories over the life course with type 2 diabetes risk in adulthood: a group-based modeling approach. Ann Epidemiol. 2015; 25, 785787.CrossRefGoogle ScholarPubMed
Zhang, T, Xu, J, Li, S, et al. Trajectories of childhood BMI and adult diabetes: the Bogalusa Heart Study. Diabetologia. 2019; 62, 7077.CrossRefGoogle ScholarPubMed
Demerath, EW, Reed, D, Choh, AC, et al. Rapid postnatal weight gain and visceral adiposity in adulthood: the Fels Longitudinal Study. Obesity. 2009; 17, 20602066.CrossRefGoogle ScholarPubMed