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Cardiovascular risk factors in extended family members and birthweight in offspring

Published online by Cambridge University Press:  11 March 2021

Fareeha Shaikh Open the ORCID record for Fareeha Shaikh [Opens in a new window] ,
Marte K. Kjollesdal ,
David Carslake ,
Magne Thoresen  and
Øyvind Næss
Fareeha Shaikh*
Affiliation:
Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
Marte K. Kjollesdal
Affiliation:
Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway Norwegian Institute of Public Health, Health Services Research, Oslo, Norway
David Carslake
Affiliation:
MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
Magne Thoresen
Affiliation:
Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway Department of Biostatistics, Faculty of Medicine, University of Oslo, Oslo, Norway
Øyvind Næss
Affiliation:
Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway Norwegian Institute of Public Health, Health Services Research, Oslo, Norway
*
Address for correspondence: Fareeha Shaikh, Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway. Email: [email protected]
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Abstract

Low birthweight has been related to an increased risk of adult cardiovascular disease (CVD). Transgenerational studies have been used to investigate likely mechanisms underlying this inverse association. However, previous studies mostly examined the association of offspring birthweight with CVD risk factors among parents. In this study, we investigated the association between offspring birthweight and individual CVD risk factors, an index of CVD risk factors, and education in their parents, aunts/uncles, and aunts’/uncles’ partners. Birth data (Medical Birth Registry, Norway (MBRN) (1967–2012)) was linked to CVD risk factor data (the County Study, Age 40 Program, and Cohort Norway (CONOR)) for the parents, aunts/uncles, and their partners. For body mass index (BMI), resting heart rate (RHR), systolic blood pressure (SBP), total cholesterol (TC), triglycerides (TG), and a risk factor index, the associations were examined by linear regression. For smoking and education, they were examined by logistic regression. Low birthweight was associated with an unfavorable risk factor profile in all familial relationships. For each kg increase in birthweight, the mean risk factor index decreased by −0.14 units (−0.15, −0.13) in mothers, −0.11 (−0.12, −0.10) in fathers, and −0.02 (−0.05, −0.00) to −0.07 (−0.09, −0.06) in aunts/uncles and their partners. The association in mothers was stronger than fathers, but it was also stronger in aunts/uncles than their partners. Profound associations between birthweight and CVD risk factors in extended family members were observed that go beyond the expected genetic similarities in pedigrees, suggesting that mechanisms like environmental factors, assortative mating, and genetic nurturing may explain these associations.

Keywords

Offspring birthweightCVD risk factorsaunts/uncles and partners
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 13 , Issue 1 , February 2022 , pp. 83 - 89
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Copyright
© The Author(s), 2021. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

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References

Barker, DJ. Fetal origins of coronary heart disease. BMJ. 1995; 311, 171–174.CrossRefGoogle ScholarPubMed
Lawlor, DA, Ronalds, G, Clark, H, et al. Birth weight is inversely associated with incident coronary heart disease and stroke among individuals born in the 1950s. Circulation. 2005; 112, 1414–1418.CrossRefGoogle ScholarPubMed
Levy-Marchal, C, Jaquet, D. Long-term metabolic consequences of being born small for gestational age. Pediatr Diabetes. 2004; 5, 147–153.CrossRefGoogle ScholarPubMed
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 ScholarPubMed
Barker, DJ, Hales, CN, Fall, CH, et al. Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth. Diabetologia. 1993; 36, 62–67.CrossRefGoogle ScholarPubMed
Barker, DJ, Osmond, C. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet. 1986; 1, 1077–1081.CrossRefGoogle ScholarPubMed
Hattersley, AT, Tooke, JE. The fetal insulin hypothesis: an alternative explanation of the association of low birthweight with diabetes and vascular disease. Lancet. 1999; 353, 1789–1792.CrossRefGoogle ScholarPubMed
Catov, JM, Newman, AB, Roberts, JM, et al. Association between infant birth weight and maternal cardiovascular risk factors in the health, aging, and body composition study. Ann Epidemiol. 2007; 17, 36–43.CrossRefGoogle ScholarPubMed
Lawlor, DA, Smith, GD, Ebrahim, S. Birth weight of offspring and insulin resistance in late adulthood: cross sectional survey. BMJ. 2002; 325, 359.CrossRefGoogle ScholarPubMed
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
Naess, O, Hoff, DA. The Norwegian Family Based Life Course (NFLC) study: data structure and potential for public health research. Int J Public Health. 2013; 58, 57–64.CrossRefGoogle ScholarPubMed
Stocks, T, Borena, W, Strohmaier, S, et al. Cohort profile: the metabolic syndrome and cancer project (Me-Can). Int J Epidemiol. 2009; 39, 660–667.CrossRefGoogle ScholarPubMed
Stensvold, I, Tverdal, A, Urdal, P, et al. Non-fasting serum triglyceride concentration and mortality from coronary heart disease and any cause in middle aged Norwegian women. Br Med J. 1993; 307, 1318–1322.CrossRefGoogle ScholarPubMed
Vik, KL, Romundstad, P, Nilsen, TI. Tracking of cardiovascular risk factors across generations: family linkage within the population-based HUNT study, Norway. J Epidemiol Community Health. 2013; 67, 564–570.CrossRefGoogle ScholarPubMed
Statistics Norway Standard Classification of Education [Internet]. 2000. https://www.ssb.no/a/english/publikasjoner/pdf/nos_c751_en/nos_c751_.Google Scholar
Romundstad, PR, Smith, GD, Nilsen, TIL, et al. Associations of prepregnancy cardiovascular risk factors with the offspring’s birth weight. Am J Epidemiol. 2007; 166, 1359–1364.CrossRefGoogle ScholarPubMed
Breschi, MC, Seghieri, G, Bartolomei, G, et al. Relation of birthweight to maternal plasma glucose and insulin concentrations during normal pregnancy. Diabetologia. 1993; 36, 1315–1321.CrossRefGoogle ScholarPubMed
Misra, VK, Trudeau, S, Perni, U. Maternal serum lipids during pregnancy and infant birth weight: the influence of prepregnancy BMI. Obesity. 2011; 19, 1476–1481.CrossRefGoogle ScholarPubMed
de Kort, SWK, van Dijk, M, Willemsen, RH, et al. Cardiovascular risk factors in parents of short children born small for gestational age. Pediatr Res. 2008; 64, 91.CrossRefGoogle ScholarPubMed
Walker, BR, McConnachie, A, Noon, JP, et al. Contribution of parental blood pressures to association between low birth weight and adult high blood pressure: cross sectional study. BMJ. 1998; 316, 834–837.CrossRefGoogle ScholarPubMed
Bartha, JL, Romero-Carmona, R, Comino-Delgado, R. Inflammatory cytokines in intrauterine growth retardation. Acta Obstet Gynecol Scand. 2003; 82, 1099–1102.CrossRefGoogle ScholarPubMed
Ridker, PM, Hennekens, CH, Buring, JE, et al. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000; 342, 836–843.CrossRefGoogle Scholar
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
McCowan, LM, North, RA, Kho, EM, et al. Paternal contribution to small for gestational age babies: a multicenter prospective study. Obesity. 2011; 19, 1035–1039.CrossRefGoogle Scholar
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
Kong, A, Thorleifsson, G, Frigge, ML, et al. The nature of nurture: effects of parental genotypes. Science. 2018; 359, 424–428.CrossRefGoogle ScholarPubMed
Davies, NM, Dickson, M, Davey Smith, G, et al. The effect of education on adult mortality, health, and income: triangulating across genetic and policy reforms. BioRxiv. 2018, 250068.Google Scholar
Brumpton, B, Sanderson, E, Hartwig, FP, et al. Within-family studies for Mendelian randomization: avoiding dynastic, assortative mating, and population stratification biases. BioRxiv. 2019, 602516.Google Scholar
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