Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-25T19:00:00.547Z Has data issue: false hasContentIssue false

Impact of size at birth and prematurity on adult anthropometry in 4744 middle-aged Danes – The Inter99 study

Published online by Cambridge University Press:  05 August 2010

K. Pilgaard*
Affiliation:
Steno Diabetes Center, Gentofte, Denmark
K. Færch
Affiliation:
Steno Diabetes Center, Gentofte, Denmark
P. Poulsen
Affiliation:
Steno Diabetes Center, Gentofte, Denmark Novo Nordisk, Bagsværd, Denmark
C. Larsen
Affiliation:
Steno Diabetes Center, Gentofte, Denmark
E.A. Andersson
Affiliation:
Steno Diabetes Center, Gentofte, Denmark
C. Pisinger
Affiliation:
Research Center for Prevention and Health, Glostrup Hospital, Glostrup, Denmark
U. Toft
Affiliation:
Research Center for Prevention and Health, Glostrup Hospital, Glostrup, Denmark
M. Aadahl
Affiliation:
Research Center for Prevention and Health, Glostrup Hospital, Glostrup, Denmark
O. Pedersen
Affiliation:
Hagedorn Research Institute, Gentofte, Denmark Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark Faculty of Health Sciences, University of Aarhus, Aarhus, Denmark
T. Hansen
Affiliation:
Hagedorn Research Institute, Gentofte, Denmark Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
K. Borch-Johnsen
Affiliation:
Steno Diabetes Center, Gentofte, Denmark
A. Vaag
Affiliation:
Steno Diabetes Center, Gentofte, Denmark
T. Jørgensen
Affiliation:
Research Center for Prevention and Health, Glostrup Hospital, Glostrup, Denmark Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
*
*Address for correspondence: K. Pilgaard, Steno Diabetes Center, Kasper Niels Steensens Vej 1, Gentofte 2820, Denmark. (Email kapg@steno.dk)

Abstract

Low birth weight is related to increased risk of developing cardiovascular disease and type 2 diabetes in adult life. Since obesity is closely associated with type 2 diabetes and cardiovascular disease, the relationship between size at birth and adult anthropometry is of interest as a mediator of the relationship between birth weight and metabolic diseases. The aim of this study was, therefore, to examine the effect of size at birth and prematurity on measures of adult anthropometry taking adult socio-economic status and lifestyle variables into account. Midwife records with information on mother’s age and parity as well as weight, length and maturity at birth were traced in 4744 Danes born between 1939 and 1970. Measures of adult anthropometry (weight, height, body mass index (BMI), waist circumference, hip circumference and waist/hip ratio) had previously been recorded together with information on socio-economic factors, lifestyle and parental diabetes status. Mother’s age, parity and diabetes status were associated with offspring birth weight. Size at birth was positively associated with adult height and weight, but only weakly associated with BMI and not associated with waist/hip ratio when adjusted for socio-economic and lifestyle factors. Infants born preterm were less growth restricted at birth and grew to be taller and heavier compared with term infants born small for gestational age. Altogether, this study does not find evidence that obesity or a central fat distribution is mediating the relationship between low birth weight and risk of cardiovascular disease or type 2 diabetes in later life.

Type
Original Articles
Copyright
Copyright © Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2010

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

1. Barker, DJ, Bull, AR, Osmond, C, Simmonds, SJ. Fetal and placental size and risk of hypertension in adult life. BMJ. 1990; 301, 259262.CrossRefGoogle ScholarPubMed
2. Barker, DJP, Osmond, C, Winter, PD, Margetts, B, Simmonds, SJ. Weight in infancy and death from ischaemic heart disease. Lancet. 1989; 334, 577580.CrossRefGoogle Scholar
3. Hales, CN, Barker, DJ, Clark, PM, et al. Fetal and infant growth and impaired glucose tolerance at age 64. BMJ. 1991; 303, 10191022.CrossRefGoogle ScholarPubMed
4. Ford, ES, Williamson, DF, Liu, S. Weight change and diabetes incidence: findings from a national cohort of US adults. Am J Epidemiol. 1997; 146, 214222.CrossRefGoogle ScholarPubMed
5. Hubert, HB, Feinleib, M, McNamara, PM, Castelli, WP. Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham heart study. Circulation. 1983; 67, 968977.CrossRefGoogle ScholarPubMed
6. Hales, CN, Barker, DJ. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia. 1992; 35, 595601.CrossRefGoogle ScholarPubMed
7. Hales, CN, Barker, DJP. The thrifty phenotype hypothesis: type 2 diabetes. Br Med Bull. 2001; 60, 520.CrossRefGoogle Scholar
8. Rasmussen, EL, Malis, C, Jensen, CB, et al. Altered fat tissue distribution in young adult men who had low birth weight. Diabetes Care. 2005; 28, 151153.CrossRefGoogle ScholarPubMed
9. Ozanne, SE, Jensen, CB, Tingey, KJ, et al. Low birthweight is associated with specific changes in muscle insulin-signalling protein expression. Diabetologia. 2005; 48, 547552.CrossRefGoogle ScholarPubMed
10. Ward, AM, Syddall, HE, Wood, PJ, Chrousos, GP, Phillips, DI. Fetal programming of the hypothalamic-pituitary-adrenal (HPA) axis: low birth weight and central HPA regulation. J Clin Endocrinol Metab. 2004; 89, 12271233.CrossRefGoogle ScholarPubMed
11. Ravelli, AC, van der Meulen, JH, Osmond, C, Barker, DJ, Bleker, OP. Obesity at the age of 50 y in men and women exposed to famine prenatally. Am J Clin Nutr. 1999; 70, 811816.CrossRefGoogle ScholarPubMed
12. Rasmussen, F, Johansson, M. The relation of weight, length and ponderal index at birth to body mass index and overweight among 18-year-old males in Sweden. Eur J Epidemiol. 1998; 14, 373380.CrossRefGoogle ScholarPubMed
13. Eriksson, J, Forsen, T, Osmond, C, Barker, D. Obesity from cradle to grave. Int J Obes Relat Metab Disord. 2003; 27, 722727.CrossRefGoogle ScholarPubMed
14. Sobal, J, Stunkard, AJ. Socioeconomic status and obesity: a review of the literature. Psychol Bull. 1989; 105, 260275.CrossRefGoogle ScholarPubMed
15. Galani, C, Schneider, H. Prevention and treatment of obesity with lifestyle interventions: review and meta-analysis. Int J Public Health. 2007; 52, 348359.CrossRefGoogle ScholarPubMed
16. Andersson, SW, Niklasson, A, Lapidus, L, et al. Poor agreement between self-reported birth weight and birth weight from original records in adult women. Am J Epidemiol. 2000; 152, 609615.CrossRefGoogle ScholarPubMed
17. Ferrie, JE, Langenberg, C, Shipley, MJ, Marmot, MG. Birth weight, components of height and coronary heart disease: evidence from the Whitehall II study. Int J Epidemiol. 2006; 35, 15321542.CrossRefGoogle ScholarPubMed
18. Frankel, S, Elwood, P, Sweetnam, P, Yarnell, J, Smith, GD. Birthweight, body-mass index in middle age, and incident coronary heart disease. Lancet. 1996; 348, 14781480.CrossRefGoogle ScholarPubMed
19. Rich-Edwards, JW, Stampfer, MJ, Manson, JE, et al. Birth weight and risk of cardiovascular disease in a cohort of women followed up since 1976. BMJ. 1997; 315, 396400.CrossRefGoogle Scholar
20. Rich-Edwards, JW, Colditz, GA, Stampfer, MJ, et al. Birthweight and the risk for type 2 diabetes mellitus in adult women. Ann Intern Med. 1999; 130(4 Pt 1), 278284.CrossRefGoogle ScholarPubMed
21. Jørgensen, T, Borch-Johnsen, K, Thomsen, TF, et al. A randomized non-pharmacological intervention study for prevention of ischaemic heart disease: baseline results Inter99 (1). Eur J Cardiovasc Prev Rehab. 2003; 10, 377386.CrossRefGoogle Scholar
22. Gardner, DS, Jamall, E, Fletcher, AJ, Fowden, AL, Giussani, DA. Adrenocortical responsiveness is blunted in twin relative to singleton ovine fetuses. J Physiol. 2004; 557(Pt 3), 10211032.CrossRefGoogle ScholarPubMed
23. Rossavik, IK, Fishburne, JI. Conceptional age, menstrual age, and ultrasound age: a second-trimester comparison of pregnancies of known conception date with pregnancies dated from the last menstrual period. Obstet Gynecol. 1989; 73, 243249.Google ScholarPubMed
24. von Huth Smith, L, Borch-Johnsen, K, Jorgensen, T. Commuting physical activity is favourably associated with biological risk factors for cardiovascular disease. Eur J Epidemiol. 2007; 22, 771779.CrossRefGoogle ScholarPubMed
25. Toft, U, Kristoffersen, LH, Lau, C, Borch-Johnsen, K, Jorgensen, T. The dietary quality score: validation and association with cardiovascular risk factors: the Inter99 study. Eur J Clin Nutr. 2007; 61, 270278.CrossRefGoogle ScholarPubMed
26. Thomsen, TF, Davidsen, M, Ibsen, H, et al. A new method for CHD prediction and prevention based on regional risk scores and randomized clinical trials; PRECARD and the Copenhagen Risk Score. J Cardiovasc Risk. 2001; 8, 291297.CrossRefGoogle ScholarPubMed
27. Lee, PA, Chernausek, SD, Hokken-Koelega, AC, Czernichow, P. International Small for Gestational Age Advisory Board consensus development conference statement: management of short children born small for gestational age, April 24-October 1, 2001. Pediatrics. 2003; 111(6 Pt 1), 12531261.CrossRefGoogle Scholar
28. Law, CM, Barker, DJ, Osmond, C, Fall, CH, Simmonds, SJ. Early growth and abdominal fatness in adult life. J Epidemiol Commun Health. 1992; 46, 184186.CrossRefGoogle ScholarPubMed
29. Sorensen, HT, Sabroe, S, Rothman, KJ, et al. Relation between weight and length at birth and body mass index in young adulthood: cohort study. BMJ. 1997; 315, 1137.CrossRefGoogle ScholarPubMed
30. Curhan, GC, Chertow, GM, Willett, WC, et al. Birth weight and adult hypertension and obesity in women. Circulation. 1996; 94, 13101315.CrossRefGoogle ScholarPubMed
31. Rogers, I. The influence of birthweight and intrauterine environment on adiposity and fat distribution in later life. Int J Obes Relat Metab Disord. 2003; 27, 755777.CrossRefGoogle ScholarPubMed
32. Monrad, RN, Grunnet, LG, Rasmussen, EL, et al. Age-dependent nongenetic influences of birth weight and adult body fat on insulin sensitivity in twins. J Clin Endocrinol Metab. 2009; 94, 23942399.CrossRefGoogle ScholarPubMed
33. Wei, M, Gaskill, SP, Haffner, SM, Stern, MP. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans – a 7-year prospective study. Obes Res. 1997; 5, 1623.CrossRefGoogle ScholarPubMed
34. Janssen, I, Heymsfield, SB, Allison, DB, Kotler, DP, Ross, R. Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat. Am J Clin Nutr. 2002; 75, 683688.CrossRefGoogle Scholar
35. Fall, CH, Osmond, C, Barker, DJ, et al. Fetal and infant growth and cardiovascular risk factors in women. BMJ. 1995; 310, 428432.CrossRefGoogle ScholarPubMed
36. Vestbo, E, Damsgaard, EM, Froland, A, Mogensen, CE. Birth weight and cardiovascular risk factors in an epidemiological study. Diabetologia. 1996; 39, 15981602.CrossRefGoogle Scholar
37. Brown, DC, Byrne, CD, Clark, PM, et al. Height and glucose tolerance in adult subjects. Diabetologia. 1991; 34, 531533.CrossRefGoogle ScholarPubMed
38. Waaler, HT. Height, weight and mortality. The Norwegian experience. Acta Med Scand Suppl. 1984; 679, 156.Google ScholarPubMed
39. Peck, AM, Vagero, DH. Adult body height, self perceived health and mortality in the Swedish population. J Epidemiol Commun Health. 1989; 43, 380384.CrossRefGoogle ScholarPubMed
40. Gudbjartsson, DF, Walters, GB, Thorleifsson, G, et al. Many sequence variants affecting diversity of adult human height. Nat Genet. 2008; 40, 609615.CrossRefGoogle ScholarPubMed
41. Weedon, MN, Lango, H, Lindgren, CM, et al. Genome-wide association analysis identifies 20 loci that influence adult height. Nat Genet. 2008; 40, 575583.CrossRefGoogle ScholarPubMed
42. Weedon, MN, Lettre, G, Freathy, RM, et al. A common variant of HMGA2 is associated with adult and childhood height in the general population. Nat Genet. 2007; 39, 12451250.CrossRefGoogle ScholarPubMed
43. Tunon, K, Eik-Nes, SH, Grottum, P. A comparison between ultrasound and a reliable last menstrual period as predictors of the day of delivery in 15,000 examinations. Ultrasound Obstet Gynecol. 1996; 8, 178185.CrossRefGoogle Scholar
44. Lynch, CD, Zhang, J. The research implications of the selection of a gestational age estimation method. Paediatr Perinat Epidemiol. 2007; 21(Suppl. 2), 8696.CrossRefGoogle ScholarPubMed
45. Kramer, MS. Determinants of low birth weight: methodological assessment and meta-analysis. Bull World Health Organ. 1987; 65, 663737.Google ScholarPubMed
46. Shiono, PH, Klebanoff, MA, Rhoads, GG. Smoking and drinking during pregnancy. Their effects on preterm birth. JAMA. 1986; 255, 8284.CrossRefGoogle ScholarPubMed
47. Bailey, SL, Ennett, ST, Ringwalt, CL. Potential mediators, moderators, or independent effects in the relationship between parents’ former and current cigarette use and their children’s cigarette use. Addict Behav. 1993; 18, 601621.CrossRefGoogle ScholarPubMed
48. Bauman, KE, Foshee, VA, Linzer, MA, Koch, GG. Effect of parental smoking classification on the association between parental and adolescent smoking. Addict Behav. 1990; 15, 413422.CrossRefGoogle ScholarPubMed
49. Miller, HC, Hassanein, K. Diagnosis of impaired fetal growth in newborn infants. Pediatrics. 1971; 48, 511522.CrossRefGoogle ScholarPubMed
50. Fay, RA, Dey, PL, Saadie, CM, Buhl, JA, Gebski, VJ. Ponderal index: a better definition of the ‘at risk’ group with intrauterine growth problems than birth-weight for gestational age in term infants. Aust N Z J Obstet Gynaecol. 1991; 31, 1719.CrossRefGoogle ScholarPubMed
51. Barker, DJP, Hales, CN, Fall, CHD, et al. Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth. Diabetologia. 1993; 36, 6267.CrossRefGoogle ScholarPubMed
52. Barker, DJ, Godfrey, KM, Osmond, C, Bull, A. The relation of fetal length, ponderal index and head circumference to blood pressure and the risk of hypertension in adult life. Paediatr Perinat Epidemiol. 1992; 6, 3544.CrossRefGoogle ScholarPubMed
53. Rasmussen, F, Johansson, M. The relation of weight, length and ponderal index at birth to body mass index and overweight among 18-year-old males in Sweden. Eur J Epidemiol. 1998; 14, 373380.CrossRefGoogle ScholarPubMed
54. Thomson, AM, Billewicz, WZ, Hytten, FE. The assessment of fetal growth. J Obstet Gynaecol Br Commonw. 1968; 75, 903916.CrossRefGoogle ScholarPubMed
55. Cogswell, ME, Yip, R. The influence of fetal and maternal factors on the distribution of birthweight. Semin Perinatol. 1995; 19, 222240.CrossRefGoogle ScholarPubMed
56. Hyppönen, E, Smith, GD, Power, C. Parental diabetes and birth weight of offspring: intergenerational cohort study. BMJ. 2003; 326, 1920.CrossRefGoogle ScholarPubMed
57. Freathy, RM, Bennett, AJ, Ring, SM, et al. Type 2 diabetes risk alleles are associated with reduced size at birth. Diabetes. 2009; 58, 14281433.CrossRefGoogle ScholarPubMed
58. Pulizzi, N, Lyssenko, V, Jonsson, A, et al. Interaction between prenatal growth and high-risk genotypes in the development of type 2 diabetes. Diabetologia. 2009; 52, 825829.CrossRefGoogle ScholarPubMed
59. Andersson, EA, Pilgaard, K, Pisinger, C, et al. Type 2 diabetes risk alleles near ADCY5, CDKAL1 and HHEX-IDE are associated with reduced birthweight. Diabetologia. 2010 (in press).CrossRefGoogle ScholarPubMed
Supplementary material: File

Pilgaard supplementary material

Table.doc

Download Pilgaard supplementary material(File)
File 27.1 KB