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Paternal contributions to large-for-gestational-age term babies: findings from a multicenter prospective cohort study

Published online by Cambridge University Press:  28 February 2019

J. G. B. Derraik Open the ORCID record for J. G. B. Derraik [Opens in a new window] ,
D. Pasupathy ,
L. M. E. McCowan ,
L. Poston ,
R. S. Taylor ,
N. A. B. Simpson ,
G. A. Dekker ,
J. Myers ,
M. C. Vieira  and
W. S. Cutfield
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J. G. B. Derraik
Affiliation:
Liggins Institute, University of Auckland, Auckland, New Zealand A Better Start – National Science Challenge, University of Auckland, Auckland, New Zealand Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
D. Pasupathy
Affiliation:
Department of Women and Children’s Health, School of Life Course Sciences, King’s College, London, UK
L. M. E. McCowan
Affiliation:
Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand National Women’s Hospital, Auckland District Health Board, Auckland, New Zealand
L. Poston
Affiliation:
Department of Women and Children’s Health, School of Life Course Sciences, King’s College, London, UK
R. S. Taylor
Affiliation:
Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
N. A. B. Simpson
Affiliation:
Section of Obstetrics and Gynaecology, Leeds Institute of Biomedical & Clinical Sciences, University of Leeds, Leeds, UK
G. A. Dekker
Affiliation:
Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, Australia
J. Myers
Affiliation:
Maternal and Fetal Heath Research Centre, University of Manchester, Manchester, UK
M. C. Vieira
Affiliation:
Department of Women and Children’s Health, School of Life Course Sciences, King’s College, London, UK
W. S. Cutfield
Affiliation:
Liggins Institute, University of Auckland, Auckland, New Zealand A Better Start – National Science Challenge, University of Auckland, Auckland, New Zealand
F. Ahlsson*
Affiliation:
Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
*
Address for correspondence: Assoc. Prof. Fredrik Ahlsson, Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden. E-mail: [email protected]
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Abstract

We assessed whether paternal demographic, anthropometric and clinical factors influence the risk of an infant being born large-for-gestational-age (LGA). We examined the data on 3659 fathers of term offspring (including 662 LGA infants) born to primiparous women from Screening for Pregnancy Endpoints (SCOPE). LGA was defined as birth weight >90th centile as per INTERGROWTH 21st standards, with reference group being infants ⩽90th centile. Associations between paternal factors and likelihood of an LGA infant were examined using univariable and multivariable models. Men who fathered LGA babies were 180 g heavier at birth (P<0.001) and were more likely to have been born macrosomic (P<0.001) than those whose infants were not LGA. Fathers of LGA infants were 2.1 cm taller (P<0.001), 2.8 kg heavier (P<0.001) and had similar body mass index (BMI). In multivariable models, increasing paternal birth weight and height were independently associated with greater odds of having an LGA infant, irrespective of maternal factors. One unit increase in paternal BMI was associated with 2.9% greater odds of having an LGA boy but not girl; however, this association disappeared after adjustment for maternal BMI. There were no associations between paternal demographic factors or clinical history and infant LGA. In conclusion, fathers who were heavier at birth and were taller were more likely to have an LGA infant, but maternal BMI had a dominant influence on LGA.

Keywords

birth weightBMI, body mass indexfatherLGAmother
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 10 , Issue 5 , October 2019 , pp. 529 - 535
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2019 

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References

Oken, E. Secular trends in birthweight. Nestle Nutrition Institute Workshop Series. 2013; 71, 103–114.CrossRefGoogle ScholarPubMed
Chiavaroli, V, Derraik, JGB, Hofman, PL, Cutfield, WS. Born large for gestational age: bigger is not always better. J Pediatr. 2016; 170, 307–311.CrossRefGoogle Scholar
Wei, JN, Sung, FC, Li, CY, et al. Low birth weight and high birth weight infants are both at an increased risk to have type 2 diabetes among schoolchildren in Taiwan. Diabetes Care. 2003; 26, 343–348.CrossRefGoogle ScholarPubMed
Skilton, MR, Siitonen, N, Wurtz, P, et al. High birth weight is associated with obesity and increased carotid wall thickness in young adults: the Cardiovascular Risk in Young Finns Study. Arterioscler Thromb Vasc Biol. 2014; 34, 1064–1068.CrossRefGoogle ScholarPubMed
Johnsson, IW, Haglund, B, Ahlsson, F, Gustafsson, J. A high birth weight is associated with increased risk of type 2 diabetes and obesity. Pediatr Obes. 2015; 10, 77–83.CrossRefGoogle ScholarPubMed
Innes, K, Byers, T, Schymura, M. Birth characteristics and subsequent risk for breast cancer in very young women. Am J Epidemiol. 2000; 152, 1121–1128.CrossRefGoogle ScholarPubMed
Kramer, MS, Morin, I, Yang, H, et al. Why are babies getting bigger? Temporal trends in fetal growth and its determinants. J Pediatr. 2002; 141, 538–542.CrossRefGoogle ScholarPubMed
Ahlsson, F, Gustafsson, J, Tuvemo, T, Lundgren, M. Females born large for gestational age have a doubled risk of giving birth to large for gestational age infants. Acta Paediatr. 2007; 96, 358–362.CrossRefGoogle ScholarPubMed
Magnus, P, Gjessing, HK, Skrondal, A, Skjærven, R. Paternal contribution to birth weight. J Epidemiol Community Health. 2001; 55, 873–877.CrossRefGoogle ScholarPubMed
L’Abee, C, Vrieze, I, Kluck, T, et al. Parental factors affecting the weights of the placenta and the offspring. J Perinat Med. 2011; 39, 27–34.Google ScholarPubMed
Klebanoff, MA, Mednick, BR, Schulsinger, C, Secher, NJ, Shiono, PH. Father’s effect on infant birth weight. Am J Obstet Gynecol. 1998; 178, 1022–1026.CrossRefGoogle ScholarPubMed
Mattsson, K, Rylander, L. Influence of maternal and paternal birthweight on offspring birthweight – a population-based intergenerational study. Paediatr Perinat Epidemiol. 2013; 27, 138–144.CrossRefGoogle ScholarPubMed
Pomeroy, E, Wells, JC, Cole, TJ, O’Callaghan, M, Stock, JT. Relationships of maternal and paternal anthropometry with neonatal body size, proportions and adiposity in an Australian cohort. Am J Phys Anthropol. 2015; 156, 625–636.CrossRefGoogle Scholar
Myklestad, K, Vatten, LJ, Magnussen, EB, et al. Offspring birth weight and cardiovascular risk in parents—a population-based HUNT 2 study. Am J Epidemiol. 2012; 175, 546–555.CrossRefGoogle ScholarPubMed
Leary, S, Fall, C, Osmond, C, et al. Geographical variation in relationships between parental body size and offspring phenotype at birth. Acta Obstet Gynecol Scand. 2006; 85, 1066–1079.CrossRefGoogle ScholarPubMed
Sletner, L, Nakstad, B, Yajnik, CS, et al. Ethnic differences in neonatal body composition in a multi-ethnic population and the impact of parental factors: a population-based cohort study. PLoS ONE. 2013; 8, e73058.CrossRefGoogle Scholar
Nahum, GG, Stanislaw, H. Relationship of paternal factors to birth weight. J Reprod Med. 2003; 48, 963–968.Google ScholarPubMed
Morrison, J, Williams, GM, Najman, JM, Andersen, MJ. The influence of paternal height and weight on birth-weight. Aust N Z J Obstet Gynaecol. 1991; 31, 114–116.CrossRefGoogle ScholarPubMed
Chen, Y-P, Xiao, X-M, Li, J, et al. Paternal body mass index (BMI) is associated with offspring intrauterine growth in a gender dependent manner. PLoS ONE. 2012; 7, e36329.CrossRefGoogle Scholar
Tyrrell, JS, Yaghootkar, H, Freathy, RM, Hattersley, AT, Frayling, TM. Parental diabetes and birthweight in 236,030 individuals in the UK Biobank Study. Int J Epidemiol. 2013; 42, 1714–1723.CrossRefGoogle ScholarPubMed
Hypponen, E, Smith, GD, Power, C. Parental diabetes and birth weight of offspring: intergenerational cohort study. BMJ. 2003; 326, 19–20.CrossRefGoogle ScholarPubMed
Lindsay, RS, Dabelea, D, Roumain, J, et al. Type 2 diabetes and low birth weight: the role of paternal inheritance in the association of low birth weight and diabetes. Diabetes. 2000; 49, 445–449.CrossRefGoogle ScholarPubMed
Wannamethee, SG, Lawlor, DA, Whincup, PH, et al. Birthweight of offspring and paternal insulin resistance and paternal diabetes in late adulthood: cross sectional survey. Diabetologia. 2004; 47, 12–18.CrossRefGoogle ScholarPubMed
Hillman, S, Peebles, DM, Williams, DJ. Paternal metabolic and cardiovascular risk factors for fetal growth restriction: a case-control study. Diabetes Care. 2013; 36, 1675–1680.CrossRefGoogle ScholarPubMed
McCowan, LM, Thompson, JM, Taylor, RS, et al. Clinical prediction in early pregnancy of infants small for gestational age by customised birthweight centiles: findings from a healthy nulliparous cohort. PLoS ONE. 2013; 8, e70917.CrossRefGoogle ScholarPubMed
Galbraith, C, Jenkin, G, Davis, P, Coope, P. New Zealand Socio-economic Index 1996 – Users’ Guide. 2003. Statistics New Zealand: Wellington.Google Scholar
Villar, J, Ismail, LC, Victora, CG, et al. International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project. Lancet. 2014; 384, 857–868.CrossRefGoogle ScholarPubMed
Lean, MEJ, Han, TS, Morrison, CE. Waist circumference as a measure for indicating need for weight management. BMJ. 1995; 311, 158–161.CrossRefGoogle ScholarPubMed
Vatcheva, KP, Lee, M, McCormick, JB, Rahbar, MH. Multicollinearity in regression analyses conducted in epidemiologic studies. Epidemiology. 2016; 6, 227.Google ScholarPubMed
Hosmer, DW, Lemeshow, S. Assessing the fit of the model. In Applied Logistic Regression (eds. Shewhart WA, Wilks SS, Hosmer DW, Lemeshow S), 2005; 2nd edn. pp. 143–202. John Wiley & Sons.CrossRefGoogle Scholar
King, JE. Standardized coefficients in logistic regression. Annual Meeting of the Southwest Educational Research Association. San Antonio, TX, USA; 2007.Google Scholar
Liu, S, Metcalfe, A, Leon, JA, et al. Evaluation of the INTERGROWTH-21st project newborn standard for use in Canada. PLoS ONE. 2017; 12, e0172910.CrossRefGoogle ScholarPubMed
Wood, AR, Esko, T, Yang, J, et al. Defining the role of common variation in the genomic and biological architecture of adult human height. Nat Genet. 2014; 46, 1173–1186.CrossRefGoogle ScholarPubMed
Derraik, JGB, Ahlsson, F, Diderholm, B, Lundgren, M. Obesity rates in two generations of Swedish women entering pregnancy, and associated obesity risk among adult daughters. Sci Rep. 2015; 5, 16692.CrossRefGoogle ScholarPubMed
Olmos, PR, Borzone, GR, Olmos, RI, et al. Gestational diabetes and pre-pregnancy overweight: possible factors involved in newborn macrosomia. J Obstet Gynaecol Res. 2012; 38, 208–214.CrossRefGoogle ScholarPubMed
Kc, K, Shakya, S, Zhang, H. Gestational diabetes mellitus and macrosomia: a literature review. Ann Nutr Metab. 2015; 66, 14–20.CrossRefGoogle ScholarPubMed
Catalano, PM, Shankar, K. Obesity and pregnancy: mechanisms of short term and long term adverse consequences for mother and child. BMJ. 2017; 356, j1.CrossRefGoogle ScholarPubMed
Suter, M, Abramovici, A, Showalter, L, et al. In utero tobacco exposure epigenetically modifies placental CYP1A1 expression. Metabolism. 2010; 59, 1481–1490.CrossRefGoogle ScholarPubMed
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