Variability and rapid increase in body mass index during childhood are associated with adult obesity

International Journal of Epidemiology

Volumn 44, Issue 6, 2015, Pages 1943-1950

  Li, Shengxu ^a   Chen, Wei ^a   Sun, Dianjianyi ^a,b   Fernandez, Camilo ^a   Li, Jian ^c   Kelly, Tanika ^a   He, Jiang ^a   Krousel Wood, Marie ^a,c,d   Whelton, Paul K ^a  

^a TULANE UNIVERSITY   (United States)

^b PEKING UNIVERSITY HEALTH SCIENCE CENTER   (China)

^c TULANE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d OCHSNER CLINIC FOUNDATION   (United States)

Author keywords

Longitudinal analysis; Obesity; Rate of change; Variability

Indexed keywords

ADULT; BODY MASS; CHILD; CHILD HEALTH; COHORT ANALYSIS; HEALTH RISK; LONGITUDINAL GRADIENT; OBESITY; RISK FACTOR; WEIGHT;

ADOLESCENT; ADULT; ARTICLE; BODY MASS; BODY WEIGHT; CHILD; CHILDHOOD DISEASE; COHORT ANALYSIS; FEMALE; FOLLOW UP; HUMAN; MAJOR CLINICAL STUDY; MALE; OBESITY; PRESCHOOL CHILD; PRIORITY JOURNAL; RISK FACTOR; SCHOOL CHILD; WAIST CIRCUMFERENCE; AFRICAN AMERICAN; CAUCASIAN; CROSS-SECTIONAL STUDY; LONGITUDINAL STUDY; LOUISIANA; MIDDLE AGED; PEDIATRIC OBESITY; PREVALENCE; TIME FACTOR; WEIGHT GAIN; YOUNG ADULT;

BOGALUSA; LOUISIANA; UNITED STATES;

ADOLESCENT; ADULT; AFRICAN AMERICANS; BODY MASS INDEX; CHILD; CHILD, PRESCHOOL; COHORT STUDIES; CROSS-SECTIONAL STUDIES; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HUMANS; LONGITUDINAL STUDIES; LOUISIANA; MALE; MIDDLE AGED; OBESITY; PEDIATRIC OBESITY; PREVALENCE; RISK FACTORS; TIME FACTORS; WAIST CIRCUMFERENCE; WEIGHT GAIN; YOUNG ADULT;

EID: 84962740796     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyv202     Document Type: Article

References (46)

1. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA 2014;311:806-14.
2. Caterson ID, Hubbard V, Bray GA et al. Prevention Conference VII: Obesity, a worldwide epidemic related to heart disease and stroke: Group III: worldwide comorbidities of obesity. Circulation 2004;110:e476-83.
3. Berrington de Gonzalez A, Hartge P, Cerhan JR et al. Body-mass index and mortality among 1.46 million white adults. N Engl J Med 2010;363:2211-19.
4. Jia H, Lubetkin EI. Trends in quality-adjusted life-years lost contributed by smoking and obesity. Am J Prev Med 2010;38:138-44.
5. Malik VS, Willett WC, Hu FB. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol 2013;9:13-27.
6. Ezzati M, Riboli E. Can noncommunicable diseases be prevented? Lessons from studies of populations and individuals. Science 2012;337:1482-87
7. Bauer UE, Briss PA, Goodman RA, Bowman BA. Prevention of chronic disease in the 21st century: elimination of the leading preventable causes of premature death and disability in the USA. Lancet 2014; 384: 45-52.
8. Eriksson J, Forsen T, Tuomilehto J, Osmond C, Barker D. Size at birth, childhood growth and obesity in adult life. Int J Obes Relat Metab Disord 2001; 25: 735-40.
9. Juhola J, Magnussen CG, Viikari JS et al. Tracking of serum lipid levels, blood pressure, and body mass index from childhood to adulthood: the Cardiovascular Risk in Young Finns Study. J Pediatr 2011; 159: 584-90.
10. Herman KM, Craig CL, Gauvin L, Katzmarzyk PT. Tracking of obesity and physical activity from childhood to adulthood: the Physical Activity Longitudinal Study. Int J Pediatr Obes 2009; 4: 281-8.
11. Li S, Chen W, Srinivasan SR, Xu J, Berenson GS. Relation of childhood obesity/cardiometabolic phenotypes to adult cardiometabolic profile: the Bogalusa Heart Study. Am J Epidemiol 2012; 176: S142-9.
12. Bjerregaard LG, Rasmussen KM, Michaelsen KF et al. Effects of body size and change in body size from infancy through childhood on body mass index in adulthood. Int J Obes (Lond) 2014; 38: 1305-11.
13. Guo SS, Wu W, Chumlea WC, Roche AF. Predicting overweight and obesity in adulthood from body mass index values in childhood and adolescence. Am J Clin Nutr 2002; 76: 653-8.
14. Rolland-Cachera MF, Deheeger M, Bellisle F, Sempe M, Guilloud-Bataille M, Patois E. Adiposity rebound in children: a simple indicator for predicting obesity. Am J Clin Nutr 1984; 39: 129-35.
15. Ekelund U, Ong K, Linne Y et al. Upward weight percentile crossing in infancy and early childhood independently predicts fat mass in young adults: the Stockholm Weight Development Study (SWEDES). Am J Clin Nutr 2006; 83: 324-30.
16. Stettler N, Kumanyika SK, Katz SH, Zemel BS, Stallings VA. Rapid weight gain during infancy and obesity in young adulthood in a cohort of African Americans. Am J Clin Nutr 2003; 77: 1374-8.
17. Baird J, Fisher D, Lucas P, Kleijnen J, Roberts H, Law C. Being big or growing fast: systematic review of size and growth in infancy and later obesity. BMJ 2005; 331: 929.
18. Dyer AR, Stamler J, Greenland P. Associations of weight change and weight variability with cardiovascular and all-cause mortality in the Chicago Western Electric Company Study. Am J Epidemiol 2000; 152: 324-33.
19. Folsom AR, French SA, Zheng W, Baxter JE, Jeffery RW. Weight variability and mortality: the Iowa Women's Health Study. Int J Obes Relat Metab Disord 1996; 20: 704-9.
20. French SA, Folsom AR, Jeffery RW, Zheng W, Mink PJ, Baxter JE. Weight variability and incident disease in older women: the Iowa Women's Health Study. Int J Obes Relat Metab Disord 1997; 21: 217-23.
21. Lissner L, Odell PM, D'Agostino RB et al. Variability of body weight and health outcomes in the Framingham population. N Engl J Med 1991; 324: 1839-44.
22. Stevens J, Lissner L. Body weight variability and mortality in the Charleston Heart Study. Int J Obes 1990; 14: 385-6.
23. Rzehak P, Meisinger C, Woelke G, Brasche S, Strube G, Heinrich J. Weight change, weight cycling and mortality in the ERFORT Male Cohort Study. Eur J Epidemiol 2007; 22: 665-73.
24. Thorpe KE, Yang Z, Long KM, Garvey WT. The impact of weight loss among seniors on Medicare spending. Health Econ Rev 2013; 3: 7.
25. Knowler WC, Fowler SE, Hamman RF et al. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009; 374: 1677-86.
26. Kuczmarski RJ, Ogden CL, Guo SS et al. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11 2002: 1-190.
27. Berenson GS, Wattigney WA, Bao W, Srinivasan SR, Radhakrishnamurthy B. Rationale to study the early natural history of heart disease: the Bogalusa Heart Study. Am J Med Sci 1995; 310: S22-8.
28. Foster TA, Voors AW, Webber LS, Frerichs RR, Berenson GS. Anthropometric and maturation measurements of children, ages 5 to 14 years, in a biracial community-the Bogalusa Heart Study. Am J Clin Nutr 1977; 30: 582-91.
29. Foster TA, Berenson GS. Measurement error and reliability in four pediatric cross-sectional surveys of cardiovascular disease risk factor variables-the Bogalusa Heart Study. J Chronic Dis 1987; 40: 13-21.
30. Freedman DS, Blanck HM, Dietz WH, DasMahapatra P, Srinivasan SR, Berenson GS. Is the body adiposity index (hip circumference/height(1.5)) more strongly related to skinfold thicknesses and risk factor levels than is BMI? The Bogalusa Heart Study. Br J Nutr 2013; 109: 338-45.
31. Hunter SM, Webber LS, Berenson GS. Cigarette smoking and tobacco usage behavior in children with adolescents: Bogalusa Heart Study. Prev Med 1980; 9: 701-12.
32. Li S, Chen W, Srinivasan SR et al. Childhood cardiovascular risk factors and carotid vascular changes in adulthood: the Bogalusa Heart Study. JAMA 2003; 290: 2271-6.
33. Chen W, Li S, Cook NR et al. An autosomal genome scan for loci influencing longitudinal burden of body mass index from childhood to young adulthood in white sibships: The Bogalusa Heart Study. Int J Obes Relat Metab Disord 2004; 28: 462-9.
34. Lauer RM, Clarke WR, Beaglehole R. Level, trend, and variability of blood pressure during childhood: the Muscatine study. Circulation 1984; 69: 242-9.
35. Field AE, Manson JE, Laird N, Williamson DF, Willett WC, Colditz GA. Weight cycling and the risk of developing type 2 diabetes among adult women in the United States. Obes Res 2004; 12: 267-74.
36. Kimokoti RW, Newby PK, Gona P et al. Diet quality, physical activity, smoking status, and weight fluctuation are associated with weight change in women and men. J Nutr 2010; 140: 1287-93.
37. Lahti-Koski M, Mannisto S, Pietinen P, Vartiainen E. Prevalence of weight cycling and its relation to health indicators in Finland. Obes Res 2005; 13: 333-41.
38. Stevens VL, Jacobs EJ, Sun J et al.Weight cycling and mortality in a large prospective US study. Am J Epidemiol 2012; 175: 785-92.
39. Speakman JR, Levitsky DA, Allison DB et al. Set points, settling points and some alternative models: theoretical options to understand how genes and environments combine to regulate body adiposity. Dis Model Mech 2011; 4: 733-45.
40. Taylor CB, Jatulis DE, Fortmann SP, Kraemer HC. Weight variability effects: a prospective analysis from the Stanford Five-City Project. Am J Epidemiol 1995; 141: 461-5.
41. French SA, Jeffery RW, Folsom AR, Williamson DF, Byers T. Relation of weight variability and intentionality of weight loss to disease history and health-related variables in a populationbased sample of women aged 55-69 years. Am J Epidemiol 1995; 142: 1306-14.
42. Morris RD, Rimm AA. Long-term weight fluctuation and noninsulin-dependent diabetes mellitus in white women. Ann Epidemiol 1992; 2: 657-64.
43. Iribarren C, Sharp DS, Burchfiel CM, Petrovitch H. Association of weight loss and weight fluctuation with mortality among Japanese American men. N Engl J Med 1995; 333: 686-92.
44. Yatsuya H, Tamakoshi K, Yoshida T et al. Association between weight fluctuation and fasting insulin concentration in Japanese men. Int J Obes Relat Metab Disord 2003; 27: 478-83.
45. Yang J, Loos RJ, Powell JE et al. FTO genotype is associated with phenotypic variability of body mass index. Nature 2012; 490: 267-72.
46. Sayers A, Heron J, Smith A et al. Joint modelling compared with two stage methods for analysing longitudinal data and prospective outcomes: A simulation study of childhood growth and BP. Stat Methods Med Res 2014; 11: 0962280214548822.