Age at Adiposity Rebound is Associated with Fat Mass in Young Adult Males-the GOOD Study

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2012 Nov 21

PMID 23166661

Citations 18

Authors

Claes Ohlsson

Mattias Lorentzon

Ensio Norjavaara

Jenny M Kindblom

Affiliations

Soon will be listed here.

Abstract

Objective: Age at adiposity rebound (AR) is associated with obesity and Type 2 Diabetes in adults. The aim of the present study was to investigate the role of age at AR in adult fat mass, fat distribution and pubertal timing for a Swedish cohort.

Patients And Methods: This is a retrospective cohort study. Detailed growth charts were retrieved for the men participating in the population-based GOOD (Gothenburg Osteoporosis and Obesity Determinants) study (n=573). Body composition was analysed using dual X-ray absorptiometry and computed tomography at 18-20 years of age. Age and BMI at AR were calculated using pediatric growth charts and AR was defined as the lowest BMI between 3 and 9 years of age.

Results: Subjects were divided into early (age at AR below 5.4 years of age), middle (age at AR 5.4 to 6.8 years of age) and late (age at AR after 6.8 years of age) age at AR tertiles. Subjects in the early age at AR tertile had higher young adult BMI (+8%), whole body fat mass (+34%) and amount of subcutaneous adipose tissue (+61%) than the subjects in the middle and late tertiles (p<0.01). The early age at AR tertile had an increased risk of obesity (Odds Ratio 4.1 [95% CI 1.2-13.9]) compared with the middle and late tertiles. In addition, the early age at AR tertile had Peak Height Velocity (PHV) 7 months earlier than the late tertile.

Conclusions: Early age at AR was associated with young adult obesity as a consequence of a high amount of subcutaneous adipose tissue in men. In addition we made the novel observation that early age at AR was associated with an early puberty in men.

Citing Articles

Long-term impact of maternal pre-pregnancy BMI on the risk of overweight/obesity in preschool children: mediation by infant birth weight and BMI trajectory group from 0 to 2 years.

Mao A, Yang S, Luo Y, Ren Y, Yan X, Qiu Y BMC Public Health. 2024; 24(1):3404.

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Age at adiposity rebound and the relevance for obesity: a systematic review and meta-analysis.

Zhou J, Zhang F, Qin X, Li P, Teng Y, Zhang S Int J Obes (Lond). 2022; 46(8):1413-1424.

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Timing of Adiposity Rebound and Determinants of Early Adiposity Rebound in Korean Infants and Children Based on Data from the National Health Insurance Service.

Goh E, Kim O, Yoon S, Jeon H Nutrients. 2022; 14(5).

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Interrelationships among age at adiposity rebound, BMI during childhood, and BMI after age 14 years in an electronic health record database.

Freedman D, Goodwin-Davies A, Kompaniyets L, Lange S, Goodman A, Phan T Obesity (Silver Spring). 2021; 30(1):201-208.

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Early Adiposity Rebound Predicts Obesity and Adiposity in Youth with Congenital Adrenal Hyperplasia.

Bhullar G, Tanawattanacharoen V, Yeh M, Kim W, Vidmar A, Geffner M Horm Res Paediatr. 2021; 93(11-12):609-615.

PMID: 33691315 PMC: 8159886. DOI: 10.1159/000514130.

References

Quinton N, Smith R, Clayton P, Gill M, Shalet S, Justice S . Leptin binding activity changes with age: the link between leptin and puberty. J Clin Endocrinol Metab. 1999; 84(7):2336-41. DOI: 10.1210/jcem.84.7.5834. View

Guo S, Chumlea W, Roche A, Siervogel R . Age- and maturity-related changes in body composition during adolescence into adulthood: the Fels Longitudinal Study. Int J Obes Relat Metab Disord. 1998; 21(12):1167-75. DOI: 10.1038/sj.ijo.0800531. View

Lorentzon M, Swanson C, Andersson N, Mellstrom D, Ohlsson C . Free testosterone is a positive, whereas free estradiol is a negative, predictor of cortical bone size in young Swedish men: the GOOD study. J Bone Miner Res. 2005; 20(8):1334-41. DOI: 10.1359/JBMR.050404. View

Guo S, Huang C, Maynard L, Demerath E, Towne B, Chumlea W . Body mass index during childhood, adolescence and young adulthood in relation to adult overweight and adiposity: the Fels Longitudinal Study. Int J Obes Relat Metab Disord. 2000; 24(12):1628-35. DOI: 10.1038/sj.ijo.0801461. View

Kindblom J, Lorentzon M, Norjavaara E, Hellqvist A, Nilsson S, Mellstrom D . Pubertal timing predicts previous fractures and BMD in young adult men: the GOOD study. J Bone Miner Res. 2006; 21(5):790-5. DOI: 10.1359/jbmr.020602. View

Freedman D, Kettel Khan L, Serdula M, Srinivasan S, Berenson G . BMI rebound, childhood height and obesity among adults: the Bogalusa Heart Study. Int J Obes Relat Metab Disord. 2001; 25(4):543-9. DOI: 10.1038/sj.ijo.0801581. View

Williams S, Goulding A . Patterns of growth associated with the timing of adiposity rebound. Obesity (Silver Spring). 2008; 17(2):335-41. DOI: 10.1038/oby.2008.547. View

Lorentzon M, Landin K, Mellstrom D, Ohlsson C . Leptin is a negative independent predictor of areal BMD and cortical bone size in young adult Swedish men. J Bone Miner Res. 2006; 21(12):1871-8. DOI: 10.1359/jbmr.060814. View

Dietz W . "Adiposity rebound": reality or epiphenomenon?. Lancet. 2001; 356(9247):2027-8. DOI: 10.1016/S0140-6736(00)03396-1. View

10.

Kindblom J, Lorentzon M, Norjavaara E, Lonn L, Brandberg J, Angelhed J . Pubertal timing is an independent predictor of central adiposity in young adult males: the Gothenburg osteoporosis and obesity determinants study. Diabetes. 2006; 55(11):3047-52. DOI: 10.2337/db06-0192. View

11.

Eriksson J, Forsen T, Tuomilehto J, Osmond C, Barker D . Early adiposity rebound in childhood and risk of Type 2 diabetes in adult life. Diabetologia. 2003; 46(2):190-4. DOI: 10.1007/s00125-002-1012-5. View

12.

Mangrio E, Hansen K, Lindstrom M, Kohler M, Rosvall M . Maternal educational level, parental preventive behavior, risk behavior, social support and medical care consumption in 8-month-old children in Malmö, Sweden. BMC Public Health. 2011; 11:891. PMC: 3280332. DOI: 10.1186/1471-2458-11-891. View

13.

Starck G, Lonn L, Cederblad A, Forssell-Aronsson E, Sjostrom L, Alpsten M . A method to obtain the same levels of CT image noise for patients of various sizes, to minimize radiation dose. Br J Radiol. 2002; 75(890):140-50. DOI: 10.1259/bjr.75.890.750140. View

14.

Nader P, OBrien M, Houts R, Bradley R, Belsky J, Crosnoe R . Identifying risk for obesity in early childhood. Pediatrics. 2006; 118(3):e594-601. DOI: 10.1542/peds.2005-2801. View

15.

Williams S, Davie G, Lam F . Predicting BMI in young adults from childhood data using two approaches to modelling adiposity rebound. Int J Obes Relat Metab Disord. 1999; 23(4):348-54. DOI: 10.1038/sj.ijo.0800824. View

16.

Kaplowitz P . Link between body fat and the timing of puberty. Pediatrics. 2008; 121 Suppl 3:S208-17. DOI: 10.1542/peds.2007-1813F. View

17.

Chowdhury B, Sjostrom L, Alpsten M, Kostanty J, Kvist H, LOFGREN R . A multicompartment body composition technique based on computerized tomography. Int J Obes Relat Metab Disord. 1994; 18(4):219-34. View

18.

Wadsworth M, Butterworth S, Marmot M, Ecob R, Hardy R . Early growth and type 2 diabetes: evidence from the 1946 British birth cohort. Diabetologia. 2005; 48(12):2505-10. DOI: 10.1007/s00125-005-0007-4. View

19.

Karlberg J . On the modelling of human growth. Stat Med. 1987; 6(2):185-92. DOI: 10.1002/sim.4780060210. View

20.

Fox C, Massaro J, Hoffmann U, Pou K, Maurovich-Horvat P, Liu C . Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007; 116(1):39-48. DOI: 10.1161/CIRCULATIONAHA.106.675355. View