Nutr Res Pract.  2011 Dec;5(6):569-577.

Dietary patterns are associated with physical growth among school girls aged 9-11 years

Affiliations
  • 1Department of Food and Nutrition, Seoul National University, Seoul 151-742, Korea.
  • 2Major of Food and Nutrition, School of Human Ecology, The Catholic University of Korea, 43-1 Yeokgok 2-dong, Wonmi-gu, Bucheon, Gyeonggi 420-743, Korea. yjsong@catholic.ac.kr
  • 3Department of Food and Nutrition, Sookmyung Women's University, Seoul 140-742, Korea.
  • 4Graduate School of Public Health, Seoul National University, Seoul 151-742, Korea.
  • 5Department of Public Health, JiLin Medical College, JiLin 132013, China.
  • 6Research Institute of Human Ecology, Seoul National University, Seoul 151-742, Korea.

Abstract

The purpose of this study was to identify dietary patterns among Korean elementary school girls based on the change in body mass index (BMI), body fat, bone mineral density (BMD), and bone mineral content (BMC) during 22 months and to explore the characteristics of dietary patterns identified. Girls aged 9-11 years were recruited and 3-day dietary data were collected four times. Subjects with a diet record of 8 or more days and anthropometric data measured at baseline and 22 months later were included (n = 198). Reduced rank regression was utilized to derive dietary patterns using a change in BMI, body fat, and calcaneus BMD and BMC as response variables. Two dietary patterns were identified: the "Egg and Rice" dietary pattern and "Fruit, Nuts, Milk Beverage, Egg, Grain" (FNMBEG) dietary pattern. Subjects who had high score on the FNMBEG pattern consumed various food groups, including fruits, nuts and seeds, and dairy products, whereas subjects in the "Egg and Rice" dietary pattern group did not. Both dietary patterns showed a positive association with change in BMI and body fat. However, subjects who had a higher score on the "Egg and Rice" dietary pattern had less of a BMC increase, whereas subjects who had a higher score on the FMBEG dietary pattern had more increased BMC over 22 months after adjusting for age, body and bone mass, and Tanner stage at baseline. Our results provide evidence that a well-balanced diet contributes to lean body mass growth among young girls.

Keyword

Adolescent; physical growth; bone mass; dietary pattern; reduced rank regression

MeSH Terms

Adipose Tissue
Adolescent
Aged
Beverages
Body Mass Index
Bone Density
Calcaneus
Dairy Products
Diet
Diet Records
Fruit
Humans
Milk
Nuts
Ovum
Seeds

Figure

  • Fig. 1 Change in bone and body mass across quartiles of dietary patterns over 22 months. BMC, body mineral content; BMD, bone mineral density; FNMBEG dietary pattern, "Fruit, Nut, Milk, Beverage, Egg, Grain" dietary pattern. †All the models were adjusted for age, body mass index (BMI), percent body fat, BMC, and BMD at baseline. ‡All the models were adjusted for age, BMI, percent body fat, BMC, BMD, and Tanner stage including the development of breasts and pubic hair stage at baseline (n = 184)


Reference

1. WHO. Nutrition in Adolescence: Issues and Challenges for the Health Sector. Issues in Adolescent Health and Development. 2005. Geneva: WHO.
2. Key JD, Key LL Jr. Calcium needs of adolescents. Curr Opin Pediatr. 1994; 6:379–382. PMID: 7951657.
Article
3. Lifshitz F, Tarim O, Smith MM. Nutrition in adolescence. Endocrinol Metab Clin North Am. 1993; 22:673–683. PMID: 8243454.
Article
4. Ebbeling CB, Feldman HA, Osganian SK, Chomitz VR, Ellenbogen SJ, Ludwig DS. Effects of decreasing sugar-sweetened beverage consumption on body weight in adolescents: a randomized, controlled pilot study. Pediatrics. 2006; 117:673–680. PMID: 16510646.
Article
5. Phillips SM, Bandini LG, Naumova EN, Cyr H, Colclough S, Dietz WH, Must A. Energy-dense snack food intake in adolescence: longitudinal relationship to weight and fatness. Obes Res. 2004; 12:461–472. PMID: 15044663.
Article
6. Striegel-Moore RH, Thompson D, Affenito SG, Franko DL, Obarzanek E, Barton BA, Schreiber GB, Daniels SR, Schmidt M, Crawford PB. Correlates of beverage intake in adolescent girls: the National Heart, Lung, and Blood Institute Growth and Health Study. J Pediatr. 2006; 148:183–187. PMID: 16492426.
Article
7. Bowman SA, Gortmaker SL, Ebbeling CB, Pereira MA, Ludwig DS. Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics. 2004; 113:112–118. PMID: 14702458.
Article
8. Niemeier HM, Raynor HA, Lloyd-Richardson EE, Rogers ML, Wing RR. Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health. 2006; 39:842–849. PMID: 17116514.
Article
9. Thompson OM, Ballew C, Resnicow K, Must A, Bandini LG, Cyr H, Dietz WH. Food purchased away from home as a predictor of change in BMI z-score among girls. Int J Obes Relat Metab Disord. 2004; 28:282–289. PMID: 14647177.
Article
10. Zhu K, Du X, Greenfield H, Zhang Q, Ma G, Hu X, Fraser DR. Bone mass in Chinese premenarcheal girls: the roles of body composition, calcium intake and physical activity. Br J Nutr. 2004; 92:985–993. PMID: 15613261.
Article
11. Chan GM, Hoffman K, McMurry M. Effects of dairy products on bone and body composition in pubertal girls. J Pediatr. 1995; 126:551–556. PMID: 7699532.
Article
12. Du XQ, Greenfield H, Fraser DR, Ge KY, Liu ZH, He W. Milk consumption and bone mineral content in Chinese adolescent girls. Bone. 2002; 30:521–528. PMID: 11882468.
Article
13. Prynne CJ, Mishra GD, O'Connell MA, Muniz G, Laskey MA, Yan L, Prentice A, Ginty F. Fruit and vegetable intakes and bone mineral status: a cross sectional study in 5 age and sex cohorts. Am J Clin Nutr. 2006; 83:1420–1428. PMID: 16789345.
14. Cooper C, Eriksson JG, Forsén T, Osmond C, Tuomilehto J, Barker DJ. Maternal height, childhood growth and risk of hip fracture in later life: a longitudinal study. Osteoporos Int. 2001; 12:623–629. PMID: 11580075.
Article
15. Ministry of Health and Welfare. Korea Health Statistics 2009: Korea National Health and Nutrition Examination Survey (KNHANES IV-3).
16. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002; 13:3–9. PMID: 11790957.
Article
17. Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc. 2004; 104:615–635. PMID: 15054348.
Article
18. Tucker KL, Chen H, Hannan MT, Cupples LA, Wilson PW, Felson D, Kiel DP. Bone mineral density and dietary patterns in older adults: the Framingham Osteoporosis Study. Am J Clin Nutr. 2002; 76:245–252. PMID: 12081842.
Article
19. Newby PK, Muller D, Hallfrisch J, Andres R, Tucker KL. Food patterns measured by factor analysis and anthropometric changes in adults. Am J Clin Nutr. 2004; 80:504–513. PMID: 15277177.
Article
20. Newby PK, Muller D, Hallfrisch J, Qiao N, Andres R, Tucker KL. Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr. 2003; 77:1417–1425. PMID: 12791618.
Article
21. Johnson L, Mander AP, Jones LR, Emmett PM, Jebb SA. Energy-dense, low-fiber, high-fat dietary pattern is associated with increased fatness in childhood. Am J Clin Nutr. 2008; 87:846–854. PMID: 18400706.
Article
22. Song Y, Park MJ, Paik HY, Joung H. Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10-19 years. Int J Obes (Lond). 2010; 34:48–56. PMID: 19823182.
Article
23. Hoffmann K, Schulze MB, Schienkiewitz A, Nöthlings U, Boeing H. Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol. 2004; 159:935–944. PMID: 15128605.
Article
24. Schulz M, Nöthlings U, Hoffmann K, Bergmann MM, Boeing H. Identification of a food pattern characterized by high-fiber and low-fat food choices associated with low prospective weight change in the EPIC-Potsdam cohort. J Nutr. 2005; 135:1183–1189. PMID: 15867301.
Article
25. Wosje KS, Binkley TL, Fahrenwald NL, Specker BL. High bone mass in a female Hutterite population. J Bone Miner Res. 2000; 15:1429–1436. PMID: 10934640.
Article
26. Drogan D, Hoffmann K, Schulz M, Bergmann MM, Boeing H, Weikert C. A food pattern predicting prospective weight change is associated with risk of fatal but not with nonfatal cardiovascular disease. J Nutr. 2007; 137:1961–1967. PMID: 17634271.
Article
27. Heidemann C, Hoffmann K, Spranger J, Klipstein-Grobusch K, Möhlig M, Pfeiffer AF, Boeing H. European Prospective Investigation into Cancer and Nutrition (EPIC)--Potsdam Study Cohort. A dietary pattern protective against type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)--Potsdam Study cohort. Diabetologia. 2005; 48:1126–1134. PMID: 15889235.
Article
28. Schulze MB, Hoffmann K, Manson JE, Willett WC, Meigs JB, Weikert C, Heidemann C, Colditz GA, Hu FB. Dietary pattern, inflammation, and incidence of type 2 diabetes in women. Am J Clin Nutr. 2005; 82:675–684. PMID: 16155283.
Article
29. Nettleton JA, Steffen LM, Schulze MB, Jenny NS, Barr RG, Bertoni AG, Jacobs DR Jr. Associations between markers of subclinical atherosclerosis and dietary patterns derived by principal components analysis and reduced rank regression in the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Clin Nutr. 2007; 85:1615–1625. PMID: 17556701.
Article
30. Weikert C, Hoffmann K, Dierkes J, Zyriax BC, Klipstein-Grobusch K, Schulze MB, Jung R, Windler E, Boeing H. A homocysteine metabolism-related dietary pattern and the risk of coronary heart disease in two independent German study populations. J Nutr. 2005; 135:1981–1988. PMID: 16046726.
Article
31. Paik H, Kim K. DS24. 1997. Seoul: Seoul Nation University, Human Nutrition Lab. & Sookmyung Women's University, AI/DB Lab.
32. Li SJ, Paik HY, Joung H. Dietary patterns are associated with sexual maturation in Korean children. Br J Nutr. 2006; 95:817–823. PMID: 16571162.
Article
33. Tanner JM. Growth at Adolescence. 1962. London: Blackwell Scientific Publications.
34. Heaney RP, Abrams S, Dawson-Hughes B, Looker A, Marcus R, Matkovic V, Weaver C. Peak bone mass. Osteoporos Int. 2000; 11:985–1009. PMID: 11256898.
Article
35. Nilsson M, Ohlsson C, Eriksson AL, Frändin K, Karlsson M, Ljunggren O, Mellström D, Lorentzon M. Competitive physical activity early in life is associated with bone mineral density in elderly Swedish men. Osteoporos Int. 2008; 19:1557–1566. PMID: 18373050.
Article
36. Nikander R, Sievänen H, Heinonen A, Daly RM, Uusi-Rasi K, Kannus P. Targeted exercise against osteoporosis: A systematic review and meta-analysis for optimising bone strength throughout life. BMC Med. 2010; 8:47. PMID: 20663158.
Article
37. Okubo H, Sasaki S, Horiguchi H, Oguma E, Miyamoto K, Hosoi Y, Kim MK, Kayama F. Dietary patterns associated with bone mineral density in premenopausal Japanese farmwomen. Am J Clin Nutr. 2006; 83:1185–1192. PMID: 16685064.
Article
38. Kontogianni MD, Melistas L, Yannakoulia M, Malagaris I, Panagiotakos DB, Yiannakouris N. Association between dietary patterns and indices of bone mass in a sample of Mediterranean women. Nutrition. 2009; 25:165–171. PMID: 18849146.
Article
39. Lin PH, Ginty F, Appel LJ, Aickin M, Bohannon A, Garnero P, Barclay D, Svetkey LP. The DASH diet and sodium reduction improve markers of bone turnover and calcium metabolism in adults. J Nutr. 2003; 133:3130–3136. PMID: 14519796.
Article
40. McNaughton SA, Ball K, Mishra GD, Crawford DA. Dietary patterns of adolescents and risk of obesity and hypertension. J Nutr. 2008; 138:364–370. PMID: 18203905.
Article
41. Heaney RP. Calcium, dairy products and osteoporosis. J Am Coll Nutr. 2000; 19:83S–99S. PMID: 10759135.
Article
42. Tylavsky FA, Holliday K, Danish R, Womack C, Norwood J, Carbone L. Fruit and vegetable intakes are an independent predictor of bone size in early pubertal children. Am J Clin Nutr. 2004; 79:311–317. PMID: 14749239.
Article
43. Gunnes M, Lehmann EH. Dietary calcium, saturated fat, fiber and vitamin C as predictors of forearm cortical and trabecular bone mineral density in healthy children and adolescents. Acta Paediatr. 1995; 84:388–392. PMID: 7795347.
Article
44. Schönaü E, Wentzlik U, Michalk D, Scheidhauer K, Klein K. Is there an increase of bone density in children? Lancet. 1993; 342:689–690.
Article
45. Siervogel RM, Demerath EW, Schubert C, Remsberg KE, Chumlea WC, Sun S, Czerwinski SA, Towne B. Puberty and body composition. Horm Res. 2003; 60:36–45. PMID: 12955016.
Article
46. Schiessl H, Frost HM, Jee WS. Estrogen and bone-muscle strength and mass relationships. Bone. 1998; 22:1–6. PMID: 9437507.
Article
47. Cutler GB Jr. The role of estrogen in bone growth and maturation during childhood and adolescence. J Steroid Biochem Mol Biol. 1997; 61:141–144. PMID: 9365183.
Article
48. van Lenthe FJ, Kemper CG, van Mechelen W. Rapid maturation in adolescence results in greater obesity in adulthood: the Amsterdam Growth and Health Study. Am J Clin Nutr. 1996; 64:18–24. PMID: 8669409.
Article
49. Szucs J, Jonson R, Granhed H, Hansson T. Accuracy, precision, and homogeneity effects in the determination of the bone mineral content with dual photon absorptiometry in the heel bone. Bone. 1992; 13:179–183. PMID: 1576015.
Article
50. Yamada M, Ito M, Hayashi K, Nakamura T. Calcaneus as a site for assessment of bone mineral density: evaluation in cadavers and healthy volunteers. AJR Am J Roentgenol. 1993; 161:621–627. PMID: 8352120.
Article
51. Rautava E, Lehtonen-Veromaa M, Kautiainen H, Kajander S, Heinonen OJ, Viikari J, Möttönen T. The reduction of physical activity reflects on the bone mass among young females: a follow-up study of 142 adolescent girls. Osteoporos Int. 2007; 18:915–922. PMID: 17211530.
Article
52. Foo LH, Zhang Q, Zhu K, Ma G, Greenfield H, Fraser DR. Influence of body composition, muscle strength, diet and physical activity on total body and forearm bone mass in Chinese adolescent girls. Br J Nutr. 2007; 98:1281–1287. PMID: 17640423.
Article
Full Text Links
  • NRP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr