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Influence of maternal adiposity, preterm birth and birth weight centiles on early childhood obesity in an Indigenous Australian pregnancy-through-to-early-childhood cohort study

Part of: DOHaD in Indigenous Populations

Published online by Cambridge University Press:  16 May 2018

K. G. Pringle ,
Y. Q. Lee ,
L. Weatherall ,
L. Keogh ,
C. Diehm ,
C. T. Roberts ,
S. Eades ,
A. Brown ,
R. Smith  and
E. R. Lumbers
...Show all authors
K. G. Pringle
Affiliation:
Priority Research Centre in Reproductive Sciences, University of Newcastle, Callaghan, NSW, Australia School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia
Y. Q. Lee
Affiliation:
Priority Research Centre in Reproductive Sciences, University of Newcastle, Callaghan, NSW, Australia School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia
L. Weatherall
Affiliation:
Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia
L. Keogh
Affiliation:
Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia
C. Diehm
Affiliation:
Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia Department of Rural Health, University of Newcastle, Tamworth, NSW, Australia
C. T. Roberts
Affiliation:
Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
S. Eades
Affiliation:
Aboriginal Health, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
A. Brown
Affiliation:
Aboriginal Research Unit, South Australian Health & Medical Research Institute, Adelaide, South Australia, Australia
R. Smith
Affiliation:
Priority Research Centre in Reproductive Sciences, University of Newcastle, Callaghan, NSW, Australia Mothers and Babies Research Centre, Hunter Medical Research Institute, Newcastle, Callaghan, NSW, Australia
E. R. Lumbers
Affiliation:
Priority Research Centre in Reproductive Sciences, University of Newcastle, Callaghan, NSW, Australia School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
L. J. Brown
Affiliation:
Department of Rural Health, University of Newcastle, Tamworth, NSW, Australia Priority Research Centre of Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
C. E. Collins
Affiliation:
Priority Research Centre of Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia
K. M. Rae
Affiliation:
Priority Research Centre in Reproductive Sciences, University of Newcastle, Callaghan, NSW, Australia Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia Department of Rural Health, University of Newcastle, Tamworth, NSW, Australia Mothers and Babies Research Centre, Hunter Medical Research Institute, Newcastle, Callaghan, NSW, Australia Priority Research Centre for Generational Health and Ageing, University of Newcastle, Callaghan, NSW, Australia
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Abstract

Childhood obesity rates are higher among Indigenous compared with non-Indigenous Australian children. It has been hypothesized that early-life influences beginning with the intrauterine environment predict the development of obesity in the offspring. The aim of this paper was to assess, in 227 mother–child dyads from the Gomeroi gaaynggal cohort, associations between prematurity, Gestation Related-Optimal Weight (GROW) centiles, maternal adiposity (percentage body fat, visceral fat area), maternal non-fasting plasma glucose levels (measured at mean gestational age of 23.1 weeks) and offspring BMI and adiposity (abdominal circumference, subscapular skinfold thickness) in early childhood (mean age 23.4 months). Maternal non-fasting plasma glucose concentrations were positively associated with infant birth weight (P=0.005) and GROW customized birth weight centiles (P=0.008). There was a significant association between maternal percentage body fat (P=0.02) and visceral fat area (P=0.00) with infant body weight in early childhood. Body mass index (BMI) in early childhood was significantly higher in offspring born preterm compared with those born at term (P=0.03). GROW customized birth weight centiles was significantly associated with body weight (P=0.01), BMI (P=0.007) and abdominal circumference (P=0.039) at early childhood. Our findings suggest that being born preterm, large for gestational age or exposed to an obesogenic intrauterine environment and higher maternal non-fasting plasma glucose concentrations are associated with increased obesity risk in early childhood. Future strategies should aim to reduce the prevalence of overweight/obesity in women of child-bearing age and emphasize the importance of optimal glycemia during pregnancy, particularly in Indigenous women.

Keywords

childhood obesityIndigenousmaternal obesitypregnancypreterm birth
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 10 , Special Issue 1: Themed Issue: Canada / Indigenous Populations , February 2019 , pp. 39 - 47
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2018 

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Footnotes

†

Joint first authors.

References

1. Centers for Disease Control and Prevention. Overweight and obesity. 2017. Retrieved 25 August 2017 from https://www.cdc.gov/obesity/index.html.Google Scholar
2. United Nations International Children’s Fund WHO, The World Bank. Level and Trends in Malnutrition UNICEF-WHO-World Bank Joint Child Malnutrition Estimates. Key findings of the 2017 edition. UNICEF, New York; WHO, Geneva; The World Bank, Washington, DC: 2017. Retrieved 18 April 2018 from https://data.unicef.org/wp-content/uploads/2017/05/JME-2017-brochure.pdf.Google Scholar
3. WHO Multicentre Growth Reference Study Group. WHO child growth standards based on length/height, weight and age. Acta Paediatr. 2006; 450(Suppl.), 76–85.Google Scholar
4. Australian Institute of Health and Welfare. Australia’s health 2016. 2016 Contract No.: Cat. no. AUS 199. Australian Institute of Health and Welfare: Canberra.Google Scholar
5. Australian Bureau of Statistics. Australian Aboriginal and Torres Strait Islander Health Survey: First Results, Australia, 2012-2013. 2013. Australian Bureau of Statistics: Canberra.Google Scholar
6. Ng, M, Fleming, T, Robinson, M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study. Lancet. 2014; 384, 766–781.Google Scholar
7. Llewellyn, A, Simmonds, M, Owen, C, Woolacott, N. Childhood obesity as a predictor of morbidity in adulthood: a systematic review and meta-analysis. Obes Rev. 2016; 17, 56–67.Google Scholar
8. Umer, A, Kelley, G, Cottrell, L, et al. Childhood obesity and adult cardiovascular disease risk factors: a systematic review with meta-analysis. BMC Public Health. 2017; 17, 683.Google Scholar
9. Barker, D. Developmental origins of adult health and diseases. J Epidemiol Community Health. 2004; 58, 114–115.Google Scholar
10. Warner, M, Ozanne, S. Mechanisms involved in the developmental programming of adulthood diseases. Biochem J. 2010; 427, 333–347.Google Scholar
11. Whincup, PH, Kaye, SJ, Owen, CG, et al. Birth weight and risk of type 2 diabetes: a systematic review. JAMA.. 2008; 300, 2886–2897.Google Scholar
12. Huxley, R, Owen, CG, Whincup, PH, et al. Is birth weight a risk factor for ischemic heart disease in later life? Am J Clin Nutr. 2007; 85, 1244–1250.Google Scholar
13. Huxley, RR, Shiell, AW, Law, CM. The role of size at birth and postnatal catch-up growth in determining systolic blood pressure: a systematic review of the literature. J Hypertens. 2000; 18, 815–831.Google Scholar
14. Li, Y, Ley, SH, VanderWeele, TJ, et al. Joint association between birth weight at term and later life adherence to a healthy lifestyle with risk of hypertension: a prospective cohort study. BMC Med. 2015; 13, 175.Google Scholar
15. Kajantie, E, Osmond, C, Barker, DJ, Eriksson, JG. Preterm birth – a risk factor for type 2 diabetes? The Helsinki birth cohort study. Diabetes Care. 2010; 33, 2623–2625.Google Scholar
16. Thomas, EL, Parkinson, JR, Hyde, MJ, et al. Aberrant adiposity and ectopic lipid deposition characterize the adult phenotype of the preterm infant. Pediatr Res. 2011; 70, 507–512.Google Scholar
17. Euser, AM, Finken, MJ, Keijzer-Veen, MG, et al. Associations between prenatal and infancy weight gain and BMI, fat mass, and fat distribution in young adulthood: a prospective cohort study in males and females born very preterm. Am J Clin Nutr. 2005; 81, 480–487.Google Scholar
18. Mathai, S, Derraik, JG, Cutfield, WS, et al. Increased adiposity in adults born preterm and their children. PLoS One. 2013; 8, e81840.Google Scholar
19. Casey, P. Growth of low birth weight preterm children. Semin Perinatol. 2008; 32, 20–27.Google Scholar
20. Gluckman, PD, Hanson, MA, Cooper, C, Thornburg, KL. Effect of in utero and early-life conditions on adult health and disease. N Engl J Med. 2008; 359, 61–73.Google Scholar
21. Martin, A, Connelly, A, Bland, R, Reilly, J. Health impact of catch-up growth in low-birth weight infants: systematic review, evidence appraisal, and meta-analysis. Matern Child Nutr. 2017; 13.Google Scholar
22. Yu, Z, Han, S, Zhu, J, et al. Pre-pregnancy body mass index in relation to infant birth weight and offspring overweight/obesity: a systematic review and meta-analysis. PLoS One. 2013; 8, e61627.Google Scholar
23. Poston, L. Maternal obesity, gestational weight gain and diet as determinants of offspring long term health. Best Pract Res Clin Endocrinol Metab. 2012; 26, 627–639.Google Scholar
24. Philipps, L, Santhakumaran, S, Gale, C, et al. The diabetic pregnancy and offspring BMI in childhood: a systematic review and meta-analysis. Diabetologia. 2011; 54, 1957–1966.Google Scholar
25. Dabelea, D, Hanson, R, Lindsay, R, et al. Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a Study of Discordant Sibships. Diabetes. 2000; 49, 2208–2211.Google Scholar
26. Crume, TL, Ogden, L, West, NA, et al. Association of exposure to diabetes in utero with adiposity and fat distribution in a multiethnic population of youth: the Exploring Perinatal Outcomes among Children (EPOCH) Study. Diabetologia. 2011; 54, 87–92.Google Scholar
27. Metzger, BE. Long-term outcomes in mothers diagnosed with gestational diabetes mellitus and their offspring. Clin Obstet Gynaecol. 2007; 50, 972–979.Google Scholar
28. Eriksson, J, Sandboge, S, Salonen, M, Kajantie, E, Osmond, C. Maternal weight in pregnancy and offspring body composition in late adulthood: findings from the Helsinki Birth Cohort Study (HBCS). Ann Med. 2015; 47, 94–99.Google Scholar
29. Boney, C, Verma, A, Tucker, R, Vohr, B. Metabolic syndrome in childhood: association with birth weight, maternal obesity and gestational diabetes mellitus. Pediatrics. 2005; 115, e290–e296.Google Scholar
30. Eriksson, J, Sandboge, S, Salonen, M, Kajantie, E, Osmond, C. Longterm consequences of maternal overweight in pregnancy on offspring later health: findings from the Helsinki Birth Cohort Study. Ann Med. 2014; 46, 434–438.Google Scholar
31. Australian Institute of Health and Welfare. The Health and Welfare of Australia’s Aboriginal and Torres Strait Islander Peoples. 2015. AIHW: Canberra.Google Scholar
32. Australian Institute of Health and Welfare. Australia’s Mothers and Babies 2014—In Brief, Contract No.: Cat no. PER 87, 2016. Canberra: Australian Institute of Health and Welfare.Google Scholar
33. Dyer, SM, Gomersall, JS, Smithers, LG, et al. Prevalence and characteristics of overweight and obesity in Indigenous Australian children: a systematic review. Crit Rev Food Sci Nutr. 2017; 57, 1365–1376.Google Scholar
34. Vos, T, Barker, B, Begg, S, Stanley, L, Lopez, AD. Burden of disease and injury in Aboriginal and Torres Strait Islander Peoples: the Indigenous health gap. Int J Epidemiol. 2009; 38, 470–477.Google Scholar
35. McNamara, BJ, Gubhaju, L, Chamberlain, C, Stanley, F, Eades, SJ. Early life influences on cardio-metabolic disease risk in aboriginal populations – what is the evidence? A systematic review of longitudinal and case-control studies. Int J Epidemiol. 2012; 41, 1661–1682.Google Scholar
36. Ashman, AM, Collins, CE, Weatherall, L, et al. A cohort of Indigenous Australian women and their children through pregnancy and beyond: the Gomeroi gaaynggal study. J Dev Origins Health Dis. 2016; 7, 357–368.Google Scholar
37. World Health Organisation. Global Strategy on Diet, Physical Activity and Health. 2016. Retrieved 10 November 2017 from http://www.who.int/dietphysicalactivity/childhood_what/en/.Google Scholar
38. Dehghan, M, Merchant, AT. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J. 2008; 7, 26.Google Scholar
39. Ellis, KJ, Bell, SJ, Chertow, GM, et al. Bioelectrical impedance methods in clinical research: a follow-up to the NIH Technology Assessment Conference. Nutrition. 1999; 15, 874–880.Google Scholar
40. Pietrobelli, A, Rubiano, F, St-Onge, MP, Heymsfield, SB. New bioimpedance analysis system: improved phenotyping with whole-body analysis. Eur J Clin Nutr. 2004; 58, 1479–1484.Google Scholar
41. Neovius, M, Hemmingsson, E, Freyschuss, B, Udden, J. Bioelectrical impedance underestimates total and truncal fatness in abdominally obese women. Obesity. 2006; 14, 1731–1738.Google Scholar
42. Gibson, AL, Holmes, JC, Desautels, RL, Edmonds, LB, Nuudi, L. Ability of new octapolar bioimpedance spectroscopy analyzers to predict 4-component-model percentage body fat in Hispanic, black, and white adults. Am J Clin Nutr. 2008; 87, 332–338.Google Scholar
43. Volgyi, E, Tylavsky, FA, Lyytikainen, A, et al. Assessing body composition with DXA and bioimpedance: effects of obesity, physical activity, and age. Obesity. 2008; 16, 700–705.Google Scholar
44. Bedogni, G, Malavolti, M, Severi, S, et al. Accuracy of an eight-point tactile-electrode impedance method in the assessment of total body water. Eur J Clin Nutr. 2002; 56, 1143–1148.Google Scholar
45. Gardosi, J, Francis, A. Customised Weight Centile Calculator. GROW version 6.7.8.2 (AU). Gestation Network 2018. Retrieved 18 April 2018 from http://www.gestation.net/grow_documentation.pdf.Google Scholar
46. Cole, TJ, et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000; 320, 1240–1243.Google Scholar
47. Cohen, J. Statistical Power Analysis for the Behavior Science. 1988. Lawrence Erlbaum Association: Hillsdale, NJ.Google Scholar
48. Reilly, JJ, Kelly, J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes. 2011; 35, 891–898.Google Scholar
49. Pringle, KG, Weatherall, L, Roberts, TC, et al. The Gomeroi Gaaynggal cohort: a preliminary study of the maternal determinants of pregnancy outcomes in Indigenous Australian women. J Preg Child Health. 2015; 3, 211.Google Scholar
50. Pringle, KG, Rae, K, Weatherall, L, et al. Effects of maternal inflammation and exposure to cigarette smoke on birth weight and delivery of preterm babies in a cohort of Indigenous Australian women. Front Immunol. 2015; 6, 89.Google Scholar
51. Woo Baidal, JA, Locks, LM, Cheng, ER, et al. Risk factors for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med. 2016; 50, 761–779.Google Scholar
52. Kapral, N, Miller, SE, Scharf, RJ, Gurka, MJ, DeBoer, MD. Associations between birthweight and overweight and obesity in school-age children. Pediatr Obes. 2017 [Epub ahead of print]. doi: 10.1111/ijpo.12227.Google Scholar
53. Hadfield, RM, Lain, SJ, Simpson, JM, et al. Are babies getting bigger? An analysis of birthweight trends in New South Wales, 1990-2005. Med J Aust. 2009; 190, 312–315.Google Scholar
54. Castillo-Laura, H, Santos, IS, Quadros, LC, Matijasevich, A. Maternal obesity and offspring body composition by indirect methods: a systematic review and meta-analysis. Cad Saude Publica. 2015; 31, 2073–2092.Google Scholar
55. Long, N, George, L, Uthlaut, A, et al. Maternal obesity and increased nutrient intake before and during gestation in the ewe results in altered growth, adiposity, and glucose tolerance in adult offspring. J Anim Sci. 2010; 88, 3546–3553.Google Scholar
56. McCurdy, C, Bishop, J, Williams, S, et al. Maternal high-fat diet triggers lipotoxicity in the fetal livers of nonhuman primates. J Clin Invest. 2009; 119, 323–335.Google Scholar
57. Samuelsson, A, Matthews, P, Argenton, M, et al. Diet-induced obesity in female mice leads to offspring hyperphagia, adiposity, hypertension, and insulin resistance: a novel murine model of developmental programming. Hypertension. 2008; 51, 383–392.Google Scholar
58. Drake, A, Reynolds, R. Impact of maternal obesity on offspring obesity and cardiometabolic disease risk. Reproduction. 2010; 140, 387–398.Google Scholar
59. Clausen, TD, Mathiesen, ER, Hansen, T, et al. High prevalence of type 2 diabetes and pre-diabetes in adult offspring of women with gestational diabetes mellitus or type 1 diabetes: the role of intrauterine hyperglycemia. Diabetes Care. 2008; 31, 340–346.Google Scholar
60. Boerschmann, H, Pflüger, M, Henneberger, L, Ziegler, A, Hummel, S. Prevalence and predictors of overweight and insulin resistance in offspring of mothers with gestational diabetes mellitus. Diabetes Care. 2010; 33, 1845–1849.Google Scholar
61. Pettitt, DJ, McKenna, S, McLaughlin, C, et al. Maternal glucose at 28 weeks of gestation is not associated with obesity in 2-year-old offspring: the Belfast Hyperglycemia and Adverse Pregnancy Outcome (HAPO) family study. Diabetes Care. 2010; 33, 1219–1223.Google Scholar
62. Krishnaveni, GV, Hill, JC, Leary, SD, et al. Anthropometry, glucose tolerance, and insulin concentrations in Indian children: relationships to maternal glucose and insulin concentrations during pregnancy. Diabetes Care. 2005; 28, 2919–2925.Google Scholar
63. Wright, CS, Rifas-Shiman, SL, Rich-Edwards, JW, et al. Intrauterine exposure to gestational diabetes, child adiposity, and blood pressure. Am J Hypertens. 2009; 22, 215–220.Google Scholar
64. Bergman, RN, Kim, SP, Catalano, KJ, et al. Why visceral fat is bad: mechanisms of the metabolic syndrome. Obesity. 2006; 14(Suppl. 1), 16S–19S.Google Scholar
65. Dabelea, D, Pettitt, D. Intrauterine diabetic environment confers risks for type 2 diabetes mellitus and obesity in the offspring, in addition to genetic susceptability. J Pediatric Endocrinol Metab. 2001; 14, 1085–1091.Google Scholar
66. Hillier, T, Pedula, K, Schmidt, M, et al. Childhood obesity and metabolic imprinting: the ongoing effects of maternal hyperglycemia. Diabetes Care. 2007; 30, 2287–2292.Google Scholar
67. Wang, Z, Hoy, W, McDonald, S. Body mass index in aboriginal Australians in remote communities. Aust N Z J Public Health. 2000; 24, 570–575.Google Scholar
68. Adegbija, O, Hoy, WE, Wang, Z. Waist circumference values equivalent to body mass index points for predicting absolute cardiovascular disease risks among adults in an Aboriginal community: a prospective cohort study. BMJ Open. 2015; 5, e009185.Google Scholar
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