Late midlife C-reactive protein and interleukin-6 in middle aged danish men in relation to body size history within and across generations

Obesity

Volumn 24, Issue 2, 2016, Pages 461-468

  Pedersen, Jolene Masters ^a   Budtz Jørgensen, Esben ^a   Mortensen, Erik Lykke ^a   Bruunsgaard, Helle ^b   Osler, Merete ^c   Sørensen, Thorkild I A ^a,d,e   Rod, Naja Hulvej ^a,f   Lund, Rikke ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b Rigshospitalet   (Denmark)

^c GLOSTRUP UNIVERSITY HOSPITAL   (Denmark)

^d Capital Region   (Denmark)

^e UNIVERSITY OF BRISTOL   (United Kingdom)

^f IOC Research Center Copenhagen   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

C REACTIVE PROTEIN; INTERLEUKIN 6; IL6 PROTEIN, HUMAN;

ADULT; ADULTHOOD; ANTHROPOMETRIC PARAMETERS; ARTICLE; BIRTH; BODY MASS; BODY SIZE; CONTROLLED STUDY; DANISH CITIZEN; GROWTH; HUMAN; HUMAN EXPERIMENT; INFLAMMATION; MALE; NORMAL HUMAN; PATH ANALYSIS; PONDERAL INDEX; PROGENY; WEIGHT GAIN; AGING; BLOOD; FEMALE; GENETICS; METABOLISM; MIDDLE AGED; PEDIGREE; YOUNG ADULT;

ADULT; AGING; BODY MASS INDEX; BODY SIZE; C-REACTIVE PROTEIN; FEMALE; HUMANS; INFLAMMATION; INTERLEUKIN-6; MALE; MIDDLE AGED; PEDIGREE; WEIGHT GAIN; YOUNG ADULT;

EID: 84956580526     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1002/oby.21311     Document Type: Article

References (39)

1. Barker DJ.; The developmental origins of adult disease. Eur J Epidemiol 2003; 18: 733-736.
2. Gluckman PD, Hanson MA.; Living with the past: Evolution, development, and patterns of disease. Science 2004; 305: 1733-1736.
3. Tzoulaki I, Jarvelin MR, Hartikainen AL, et al.; Size at birth, weight gain over the life course, and low-grade inflammation in young adulthood: Northern Finland 1966 Birth Cohort study. Eur Heart J 2008; 29: 1049-1056.
4. Pannacciulli N, Cantatore FP, Minenna A, et al.; C-reactive protein is independently associated with total body fat, central fat, and insulin resistance in adult women. Int J Obes Relat Metab Disord 2001; 25: 1416-1420.
5. Hoene M, Weigert C.; The role of interleukin-6 in insulin resistance, body fat distribution and energy balance. Obes Rev 2008; 9: 20-29.
6. Danesh J, Kaptoge S, Mann AG, et al.; Long-term interleukin-6 levels and subsequent risk of coronary heart disease: Two new prospective studies and a systematic review. PLoS Med 2008; 5: e78
7. Alexandraki K, Piperi C, Kalofoutis C, et al.; Inflammatory process in type 2 diabetes: The role of cytokines. Ann N Y Acad Sci 2006; 1084: 89-117.
8. Canoy D, Pouta A, Ruokonen A, et al.; Weight at birth and infancy in relation to adult leukocyte count: A population-based study of 5619 men and women followed from the fetal period to adulthood. J Clin Endocrinol Metab 2009; 94: 1916-1922.
9. Labayen I, Ortega FB, Sjostrom M, et al.; Early life origins of low-grade inflammation and atherosclerosis risk in children and adolescents. J Pediatr 2009; 155: 673-677.
10. Fraser A, Hughes R, McCarthy A, et al.; Early life growth and hemostatic factors: The Barry Caerphilly Growth study. Am J Epidemiol 2008; 168: 179-187.
11. Lakshmy R, Fall CH, Sachdev HS, et al.; Childhood body mass index and adult pro-inflammatory and pro-thrombotic risk factors: data from the New Delhi birth cohort. Int J Epidemiol 2011; 40: 102-111.
12. McDade TW, Rutherford J, Adair L, et al.; Early origins of inflammation: microbial exposures in infancy predict lower levels of C-reactive protein in adulthood. Proc Biol Sci 2010; 277: 1129-1137.
13. Nazmi A, Gonzalez DC, Oliveira IO, et al.; Life course weight gain and C-reactive protein levels in young adults: Findings from a Brazilian birth cohort. Am J Hum Biol 2009; 21: 192-199.
14. Stamnes Kopp UM, Dahl-Jorgensen K, Stigum H, et al.; The associations between maternal prepregnancy body mass index or gestational weight change during pregnancy and body mass index of the child at 3 years of age. Int J Obes (Lond) 2012; 36: 1325-1331.
15. Fleten C, Nystad W, Stigum H, et al.; Parent-offspring body mass index associations in the Norwegian Mother and Child Cohort Study: A family-based approach to studying the role of the intrauterine environment in childhood adiposity. Am J Epidemiol 2012; 176: 83-92.
16. Lawlor DA, Lichtenstein P, Langstrom N.; Association of maternal diabetes mellitus in pregnancy with offspring adiposity into early adulthood: Sibling study in a prospective cohort of 280,866 men from 248,293 families. Circulation 2011; 123: 258-265.
17. Lawlor DA, Lichtenstein P, Fraser A, et al.; Does maternal weight gain in pregnancy have long-term effects on offspring adiposity? A sibling study in a prospective cohort of 146,894 men from 136,050 families. Am J Clin Nutr 2011; 94: 142-148.
18. Avlund K, Osler M, Mortensen EL, et al.; Copenhagen aging and Midlife Biobank (CAMB): An introduction. J Aging Health 2014; 26: 5-20.
19. Osler M, Lund R, Kriegbaum M, et al.; Cohort profile: The Metropolit 1953 Danish male birth cohort. Int J Epidemiol 2006; 35: 541-545.
20. Zachau-Christensen B.; Development during the first year of life. Helsingør: Poul Andersens Forlag; 1972
21. Davies DP.; Size at birth and growth in the first year of life of babies who are overweight and underweight at birth. Proc Nutr Soc 1980; 39: 25-33.
22. Christensen U, Krolner R, Nilsson CJ, et al.; Addressing social inequality in aging by the Danish occupational social class measurement. J Aging Health 2014; 26: 106-127.
23. Greenland S, Pearl J, Robins JM.; Causal diagrams for epidemiologic research. Epidemiology 1999; 10: 37-48.
24. Weston R.; Financial living standards after divorce. Fam Matters 2000; 55: 10-15.
25. Gamborg M, Andersen PK, Baker JL, et al.; Life course path analysis of birth weight, childhood growth, and adult systolic blood pressure. Am J Epidemiol 2009; 169: 1167-1178.
26. Byrne BM.; Testing for multigroup equivalence of a measuring instrument: A walk through the process. Psicothema 2008; 20: 872-882.
27. Kline RB.; Principles and Practice of Structural Equation Modeling. New York, NY: The Guilford Press; 2011
28. Enders CK.; A primer on the use of modern missing-data methods in psychosomatic medicine research. Psychosom Med 2006; 68: 427-436.
29. Gamborg M, Jensen GB, Sorensen TI, et al.; Dynamic path analysis in life-course epidemiology. Am J Epidemiol 2011; 173: 1131-1139.
30. De Stavola BL, Nitsch D, dos SS. I, et al.; Statistical issues in life course epidemiology. Am J Epidemiol 2006; 163: 84-96.
31. Pearson TA, Mensah GA, Alexander RW, et al.; Markers of inflammation and cardiovascular disease: application to clinical and public health practice: A statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 2003; 107: 499-511.
32. Sattar N, McConnachie A, O'Reilly D, et al.; Inverse association between birth weight and C-reactive protein concentrations in the MIDSPAN Family Study. Arterioscler Thromb Vasc Biol 2004; 24: 583-587.
33. Pellanda LC, Duncan BB, Vigo A, et al.; Low birth weight and markers of inflammation and endothelial activation in adulthood: The ARIC study. Int J Cardiol 2009; 134: 371-377.
34. Ahonen T, Vanhala M, Kautiainen H, et al.; Sex differences in the association of adiponectin and low-grade inflammation with changes in the body mass index from youth to middle age. Gend Med 2012; 9: 1-8.
35. Hoekstra T, Barbosa-Leiker C, Wright BR, et al.; Effects of long-term developmental patterns of adiposity on levels of C-reactive protein and fibrinogen among North-American men and women: The Spokane Heart Study. Obes Facts 2014; 7: 197-210.
36. Lawlor DA, Smith GD, O'Callaghan M, et al.; Epidemiologic evidence for the fetal overnutrition hypothesis: Findings from the mater-university study of pregnancy and its outcomes. Am J Epidemiol 2007; 165: 418-424.
37. Hafeman DM, Schwartz S.; Opening the Black Box: A motivation for the assessment of mediation. Int J Epidemiol 2009; 38: 838-845.
38. Yu-Kang Tu, Mark Gilthorpe.; Statistical Thinking in Epidemiology. Boca Raton, FL: CRC Press Taylor and Francis Group; 2012
39. Thorand B, Baumert J, Doring A, et al.; Sex differences in the relation of body composition to markers of inflammation. Atherosclerosis 2006; 184: 216-224.