Birth-weight and resting metabolic rate in adulthood sex-specific differences

Annals of Medicine

Volumn 44, Issue 3, 2012, Pages 296-303

  Sandboge, Samuel ^a   Moltchanova, Elena ^a   Blomstedt, Paul A ^a   Salonen, Minna K ^a   Kajantie, Eero ^a   Osmond, Clive ^b   Barker, David J P ^b   Eriksson, Johan G ^a,c,d,e,f  

^a NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c UNIVERSITY OF HELSINKI   (Finland)

^d HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

^e FOLKHÄLSAN RESEARCH CENTER   (Finland)

^f VAASA CENTRAL HOSPITAL   (Finland)

Author keywords

Birth weight; Body composition; Fat free mass; Fetal programming; Resting metabolic rate

Indexed keywords

ADRENERGIC SYSTEM; ADULT; AGE; AGED; ARTICLE; BIRTH WEIGHT; BODY COMPOSITION; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; HUMAN; MALE; METABOLIC RATE; PRIORITY JOURNAL;

ADULT; AGED; BASAL METABOLISM; BIRTH WEIGHT; BODY COMPOSITION; BODY HEIGHT; BODY MASS INDEX; BODY WEIGHT; COHORT STUDIES; FEMALE; HUMANS; MALE; MIDDLE AGED; OBESITY; REGRESSION ANALYSIS; SEX CHARACTERISTICS; SYMPATHETIC NERVOUS SYSTEM;

EID: 84859321540     PISSN: 07853890     EISSN: 13652060     Source Type: Journal    
DOI: 10.3109/07853890.2010.549147     Document Type: Article

References (54)

1. Barker DJP. The Wellcome Foundation Lecture, 1994. The fetal origins of adult disease. Proc Biol Sci. 1995;262: 37-43.
2. Barker DJP. Mothers, babies and health in later life. Churchill Livingstone, Edinburgh. 1998.
3. 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;18:815-31. (Pubitemid 30459482)
4. Whincup PH, Kaye SJ, Owen CG, Huxley R, Cook DG, Anazawa S, et al. Birth weight and risk of type 2 diabetes: a systematic review. JAMA. 2008;300:2886-97.
5. Christian P, Stewart CP. Maternal micronutrient defi ciency, fetal development, and the risk of chronic disease. J Nutr. 2010;140:437-45.
6. Waterland RA, Michels KB. Epigenetic epidemiology of the developmental origins hypothesis. Annu Rev Nutr. 2007; 27:363-88. (Pubitemid 351373362)
7. Bruce KD, Hanson MA. The developmental origins, mechanisms, and implications of metabolic syndrome. J Nutr. 2010;140:648.
8. Singhal A, Wells J, Cole TJ, Fewtrell M, Lucas A. Programming of lean body mass: a link between birth weight, obesity, and cardiovascular disease? Am J Clin Nutr. 2003;77: 726-30. (Pubitemid 36258587)
9. Sayer A. Birth weight, weight at 1 y of age, and body composition in older men: fi ndings from the Hertfordshire Cohort Study. Am J Clin Nutr. 2004;80:199-203.
10. Weinsier RL, Schutz Y, Bracco D. Reexamination of the relationship of resting metabolic rate to fat-free mass and to the metabolically active components of fat-free mass in humans. Am J Clin Nutr. 1992;55:790-4.
11. Wang Z, Heshka S, Gallagher D, Boozer CN, Kotler DP, Heymsfi eld SB. Resting energy expenditure-fat-free mass relationship: new insights provided by body composition modeling. Am J Physiol Endocrinol Metab. 2000;279: E539-45.
12. Cunningham JJ. Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. Am J Clin Nutr. 1991;54:963-9. (Pubitemid 21917660)
13. DeLany JP, Bray GA, Harsha DW, Volaufova J. Energy expenditure and substrate oxidation predict changes in body fat in children. Am J Clin Nutr. 2006;84:862-70. (Pubitemid 44715669)
14. Tataranni PA, Harper IT, Snitker S, Del Parigi A, Vozarova B, Bunt J, et al. Body weight gain in free-living Pima Indians: effect of energy intake vs expenditure. Int J Obes Relat Metab Disord. 2003;27:1578-83. (Pubitemid 38019175)
15. Ravussin E, Lillioja S, Knowler WC, Christin L, Freymond D, Abbott WG, et al. Reduced rate of energy expenditure as a risk factor for body-weight gain. N Engl J Med. 1988; 318:467.
16. Buscemi S, Verga S, Caimi G, Cerasola G. A low resting metabolic rate is associated with metabolic syndrome. Clin Nutr. 2007;26:806-9. (Pubitemid 350082505)
17. Weinsier RL, Nelson KM, Hensrud DD, Darnell BE, Hunter GR, Schutz Y. Metabolic predictors of obesity. Contribution of resting energy expenditure, thermic effect of food, and fuel utilization to four-year weight gain of post-obese and never-obese women. J Clin Invest. 1995;95:980-5.
18. Flatt JP. Differences in basal energy expenditure and obesity. Obesity (Silver Spring). 2007;15:2546-8.
19. Weyer C, Pratley RE, Lindsay RS, Tataranni PA. Relationship between birth weight and body composition, energy metabolism, and sympathetic nervous system activity later in life. Obesity (Silver Spring). 2000;8:559-65.
20. Eriksson J, Forsen T, Tuomilehto J, Osmond C, Barker D. Size at birth, fat-free mass and resting metabolic rate in adult life. Horm Metab Res. 2002;34:72-6. (Pubitemid 34208313)
21. Kensara OA, Wooton SA, Phillips DIW, Patel M, Hoffman DJ, Jackson AA, et al. Substrate-energy metabolism and metabolic risk factors for cardiovascular disease in relation to fetal growth and adult body composition. Am J Physiol Endocrinol Metab. 2006;291:E365-71. (Pubitemid 44035296)
22. Kajantie E, Rä i kk ön en K. Early life predictors of the physiological stress response later in life. Neurosci Biobehav Rev. 2010;35:23-32.
23. Gilbert JS, Nijland MJ. Sex differences in the developmental origins of hypertension and cardiorenal disease. Am J Physiol Regul Integr Comp Physiol. 2008;295:R1941-52.
24. Eriksson J, Forsen T, Osmond C, Barker D. Obesity from cradle to grave. Int J Obes Relat Metab Disord. 2003; 27:722-7. (Pubitemid 36712957)
25. Sartorio A, Malavolti M, Agosti F, Marinone PG, Caiti O, Battistini N, et al. Body water distribution in severe obesity and its assessment from eight-polar bioelectrical impedance analysis. Eur J Clin Nutr. 2005;59:155-60. (Pubitemid 40268311)
26. Kushner RF, Kunigk A, Alspaugh M, Andronis PT, Leitch CA, Schoeller DA. Validation of bioelectrical-impedance analysis as a measurement of change in body composition in obesity. Am J Clin Nutr. 1990;52:219-23.
27. Malavolti M, Mussi C, Poli M, Fantuzzi AL, Salvioli G, Battistini N, et al. Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21-82 years. Ann Hum Biol. 2003;30:380-91. (Pubitemid 36872480)
28. Demura S, Sato S, Kitabayashi T. Percentage of total body fat as estimated by three automatic bioelectrical impedance analyzers. J Physiol Anthropol Appl Human Sci. 2004;23: 93-9. (Pubitemid 39178989)
29. Ylih är sil ä H, Kajantie E, Osmond C, Forsen T, Barker DJP, Eriksson JG. Birth size, adult body composition and muscle strength in later life. Int J Obes (Lond). 2007;31:1392-9. (Pubitemid 47339921)
30. Meril äi nen PT. Metabolic monitor. Int J Clin Monit Comput. 1987;4:167-77.
31. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. 1949; 109:1-9.
32. Alam DS, Hulshof PJM, Roordink D, Meltzer M, Yunus M, Salam MA, et al. Validity and reproducibility of resting metabolic rate measurements in rural Bangladeshi women: comparison of measurements obtained by Medgem ™ and by Deltatrac ™ device. Eur J Clin Nutr. 2005;59: 651-7. (Pubitemid 40716131)
33. Haugen HA, Melanson EL, Tran ZV, Kearney JT, Hill JO. Variability of measured resting metabolic rate. Am J Clin Nutr. 2003;78:1141-5.
34. Akaike H. Information theory and an extension of the maximum likelihood principle. Proceedings of 2nd International Symposium on Information Theory. BN Petrov and F Csaki, editors. Akademiai Kiado. Budapest, Hungary. 1973;267-281.
35. Rdevelopment C. TEAM (2007): R: A language and environment for statistical computing. R Foundation for Statistical Computing (Vienna) (http://www.R-project.org).
36. Syddall HE, Aihie Sayer A, Dennison EM, Martin HJ, Barker DJP, Cooper C. Cohort profile: the Hertfordshire cohort study. Int J Epidemiol. 2005;34:1234-42.
37. Gale CR, Martyn CN, Kellingray S, Eastell R, Cooper C. Intrauterine programming of adult body composition. J Clin Endocrinol Metab. 2001;86:267-72. (Pubitemid 32109806)
38. Javed F, He Q, Davidson LE, Thornton JC, Albu J, Boxt L, et al. Brain and high metabolic rate organ mass: contributions to resting energy expenditure beyond fat-free mass. Am J Clin Nutr. 2010;91:907-12.
39. Johnstone AM, Murison SD, Duncan JS, Rance KA, Speakman JR. Factors infl uencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine. Am J Clin Nutr. 2005;82:941-8. (Pubitemid 43779749)
40. Bosy-Westphal A, Mü ller MJ, Boschmann M, Klaus S, Kreymann G, L ü hrmann PM, et al. Grade of adiposity affects the impact of fat mass on resting energy expenditure in women. Br J Nutr. 2008;101:474-7.
41. Astrup A, Gotzsche PC, van de Werken K, Ranneries C, Toubro S, Raben A, et al. Meta-analysis of resting metabolic rate in formerly obese subjects. Am J Clin Nutr. 1999;69: 1117-22. (Pubitemid 29252042)
42. Nelson KM, Weinsier RL, Long CL, Schutz Y. Prediction of resting energy expenditure from fat-free mass and fat mass. Am J Clin Nutr. 1992;56:848-56.
43. Later W, Bosy-Westphal A, Hitze B, Kossel E, Gluer CC, Heller M, et al. No evidence of mass dependency of specifi c organ metabolic rate in healthy humans. Am J Clin Nutr. 2008;88:1004-9.
44. Heymsfi eld SB, Gallagher D, Kotler DP, Wang Z, Allison DB, Heshka S. Body-size dependence of resting energy expenditure can be attributed to nonenergetic homogeneity of fat-free mass. Am J Physiol Endocrinol Metab. 2002; 282:E132-8.
45. Monroe MB, Seals DR, Shapiro LF, Bell C, Johnson D, Jones PP. Direct evidence for tonic sympathetic support of resting metabolic rate in healthy adult humans. Am J Physiol Endocrinol Metab. 2001;280:E740-4.
46. Phillips DIW, Walker BR, Reynolds RM, Flanagan DEH, Wood PJ, Osmond C, et al. Low birth weight predicts elevated plasma cortisol concentrations in adults from 3 populations. Hypertension. 2000;35:1301.
47. Reynolds RM, Walker BR, Syddall HE, Andrew R, Wood PJ, Whorwood CB, et al. Altered control of cortisol secretion in adult men with low birth weight and cardiovascular risk factors. J Clin Endocrinol Metab. 2001;86:245-50. (Pubitemid 32109803)
48. Phillips DIW, Barker DJP. Association between low birthweight and high resting pulse in adult life: is the sympathetic nervous system involved in programming the insulin resistance syndrome? Diabet Med. 1997;14:673-7. (Pubitemid 27346857)
49. Eriksson JG, Osmond C, Kajantie E, Forsen TJ, Barker DJP. Patterns of growth among children who later develop type 2 diabetes or its risk factors. Diabetologia. 2006;49: 2853-8. (Pubitemid 44730287)
50. Barker DJP, Forsen T, Eriksson JG, Osmond C. Growth and living conditions in childhood and hypertension in adult life: a longitudinal study. J Hypertens. 2002;20:1951-6. (Pubitemid 35305491)
51. Schreier N, Moltchanova E, Blomstedt P, Kajantie E, Eriksson J. Prenatal exposure to wartime stress-long-term effect on coronary heart disease in later life. Ann Med. 2010 Oct 26 (Epub ahead of print).
52. 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;87:332-8. (Pubitemid 351226068)
53. Dehghan M, Merchant AT. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J. 2008;7:26.
54. Aleman-Mateo H, Rush E, Esparza-Romero J, Ferriolli E, Ramirez-Zea M, Bour A, et al. Prediction of fat-free mass by bioelectrical impedance analysis in older adults from developing countries: A cross-validation study using the deuterium dilution method. J Nutr Health Aging. 2010;14:418-26.