Literature DB >> 26377163

Identification of a dietary pattern prospectively associated with bone mass in Australian young adults.

Edith H van den Hooven1, Gina L Ambrosini2, Rae-Chi Huang3, Jenny Mountain4, Leon Straker5, John P Walsh6, Kun Zhu6, Wendy H Oddy7.   

Abstract

BACKGROUND: Relatively little is known about the relations between dietary patterns and bone health in adolescence, which is a period of substantial bone mass accrual.
OBJECTIVES: We derived dietary patterns that were hypothesized to be related to bone health on the basis of their protein, calcium, and potassium contents and investigated their prospective associations with bone mineral density (BMD), bone area, and bone mineral content (BMC) in a cohort of young adults.
DESIGN: The study included 1024 young adults born to mothers who were participating in the Western Australian Pregnancy Cohort (Raine) Study. Dietary information was obtained from food-frequency questionnaires at 14 and 17 y of age. Dietary patterns were characterized according to protein, calcium, and potassium intakes with the use of reduced-rank regression. BMD, bone area, and BMC were estimated with the use of a total body dual-energy X-ray absorptiometry scan at 20 y of age.
RESULTS: We identified 2 major dietary patterns. The first pattern was positively correlated with intakes of protein, calcium, and potassium and had high factor loadings for low-fat dairy products, whole grains, and vegetables. The second pattern was positively correlated with protein intake but negatively correlated with intakes of calcium and potassium and had high factor loadings for meat, poultry, fish, and eggs. After adjustment for anthropometric, sociodemographic, and lifestyle factors, a higher z score for the first pattern at 14 y of age was positively associated with BMD and BMC at 20 y of age [differences: 8.6 mg/cm(2) (95% CI: 3.0, 14.1 mg/cm(2)) and 21.9 g (95% CI: 6.5, 37.3 g), respectively, per SD increase in z score]. The z score for this same pattern at 17 y of age was not associated with bone outcomes at 20 y of age. The second pattern at 14 or 17 y of age was not associated with BMD, BMC, or bone area.
CONCLUSIONS: A dietary pattern characterized by high intakes of protein, calcium, and potassium in midadolescence was associated with higher BMD and BMC at 20 y of age. Our results indicate that high consumption of low-fat dairy products, whole grains, and vegetables in adolescence are associated with beneficial effects on bone development.
© 2015 American Society for Nutrition.

Entities:  

Keywords:  Raine Study; body composition; dietary patterns; peak bone mass; young adults

Mesh:

Substances:

Year:  2015        PMID: 26377163     DOI: 10.3945/ajcn.115.110502

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  9 in total

1.  A comparison of principal component analysis, partial least-squares and reduced-rank regressions in the identification of dietary patterns associated with bone mass in ageing Australians.

Authors:  Yohannes Adama Melaku; Tiffany K Gill; Anne W Taylor; Robert Adams; Zumin Shi
Journal:  Eur J Nutr       Date:  2017-06-12       Impact factor: 5.614

Review 2.  Current Evidence on the Association of Dietary Patterns and Bone Health: A Scoping Review.

Authors:  Elham Z Movassagh; Hassan Vatanparast
Journal:  Adv Nutr       Date:  2017-01-17       Impact factor: 8.701

3.  Effects of Milk and Dairy Products on the Prevention of Osteoporosis and Osteoporotic Fractures in Europeans and Non-Hispanic Whites from North America: A Systematic Review and Updated Meta-Analysis.

Authors:  Pilar Matía-Martín; Macarena Torrego-Ellacuría; Angélica Larrad-Sainz; Cristina Fernández-Pérez; Federico Cuesta-Triana; Miguel Ángel Rubio-Herrera
Journal:  Adv Nutr       Date:  2019-05-01       Impact factor: 8.701

4.  Prospective Associations of Sugar-Sweetened Beverage Consumption During Adolescence with Body Composition and Bone Mass at Early Adulthood.

Authors:  Amrei M Bennett; Kevin Murray; Gina L Ambrosini; Wendy H Oddy; John P Walsh; Kun Zhu
Journal:  J Nutr       Date:  2022-02-08       Impact factor: 4.798

5.  Dietary acid load and bone turnover during long-duration spaceflight and bed rest.

Authors:  Sara R Zwart; Barbara L Rice; Holly Dlouhy; Linda C Shackelford; Martina Heer; Matthew D Koslovsky; Scott M Smith
Journal:  Am J Clin Nutr       Date:  2018-05-01       Impact factor: 7.045

6.  Physical Activity, Physical Fitness, Body Composition, and Nutrition Are Associated with Bone Status in University Students.

Authors:  Gotzone Hervás; Fátima Ruiz-Litago; Jon Irazusta; Ainhoa Fernández-Atutxa; Ana Belen Fraile-Bermúdez; Idoia Zarrazquin
Journal:  Nutrients       Date:  2018-01-10       Impact factor: 5.717

7.  An application of partial least squares for identifying dietary patterns in bone health.

Authors:  Tiffany C Yang; Lorna S Aucott; Garry G Duthie; Helen M Macdonald
Journal:  Arch Osteoporos       Date:  2017-07-12       Impact factor: 2.617

Review 8.  Association between Dietary Patterns of Meat and Fish Consumption with Bone Mineral Density or Fracture Risk: A Systematic Literature.

Authors:  Simone Perna; Ilaria Avanzato; Mara Nichetti; Giuseppe D'Antona; Massimo Negro; Mariangela Rondanelli
Journal:  Nutrients       Date:  2017-09-18       Impact factor: 5.717

9.  Nutritional factors associated with femoral neck bone mineral density in children and adolescents.

Authors:  Guo-Hau Gou; Feng-Jen Tseng; Sheng-Hao Wang; Pao-Ju Chen; Jia-Fwu Shyu; Ru-Yu Pan
Journal:  BMC Musculoskelet Disord       Date:  2019-11-07       Impact factor: 2.362

  9 in total

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