» Articles » PMID: 27273349

Dietary Influence on Calcitropic Hormones and Adiposity in Caucasian and African American Postmenopausal Women Assessed by Structural Equation Modeling (SEM)

Overview
Date 2016 Jun 9
PMID 27273349
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: To examine differences in hydroxycholecalciferol (25(OH)D) and parathyroid hormone (PTH) concentrations between Caucasian and African American (AA) postmenopausal women, as well as the effects of dietary calcium, protein and vitamin D intakes on 25(OH)D, PTH, and body adiposity using structural equation modeling (SEM).

Design: Population-based prospective cohort study.

Setting: Academic research using the baseline data from two longitudinal studies. Participants Included n=113 Caucasian and n=40 African American, postmenopausal women who completed the baseline data collection and met inclusion criteria (dietary calcium intake <900 mg/day and being generally healthy) between 2006 and 2010.

Main Outcome: Dietary intake of calcium and vitamin D, assessed by dietary records, were examined in relation to calcitropic hormones concentrations and adiposity markers. Independent t-tests, confirmatory factor analysis, SEM and multi-group analyses were conducted to examine the aforementioned relationships as well as group differences among hormones, dietary intake, anthropometrics, age and other factors.

Results: Dietary calcium and protein intakes were significantly lower in AA women. Years since menopause were significantly higher in AA compared to Caucasian women. PTH and 25(OH)D levels were significantly lower in AA compared to Caucasian women. Dietary calcium and protein intakes did not influence body adiposity in either group of women. Dietary vitamin D had minimal indirect (via 25(OH)D levels) influence on adiposity.

Conclusion: The study confirmed the positive relationship of 25(OH)D with adiposity markers and both AA and Caucasian women. The study provides a unique example of the use of SEM in nutrition research within a clinical context. This model should be further tested in other populations.

Citing Articles

Cardiometabolic Indices after Weight Loss with Calcium or Dairy Foods: Secondary Analyses from a Randomized Trial with Overweight/Obese Postmenopausal Women.

Ilich J, Liu P, Shin H, Kim Y, Chi Y Nutrients. 2022; 14(5).

PMID: 35268057 PMC: 8912560. DOI: 10.3390/nu14051082.


Contribution of vitamin D status as a determinant of cardiometabolic risk factors: a structural equation model, National Food and Nutrition Surveillance.

Nikooyeh B, Neyestani T BMC Public Health. 2021; 21(1):1819.

PMID: 34627185 PMC: 8501625. DOI: 10.1186/s12889-021-11839-w.


Parathyroid Hormone and 25-Hydroxyvitamin D Do Not Mediate the Association between Dietary Calcium, Protein and Vitamin D Intake and Adiposity and Lipid Profile in Patients with Type 2 Diabetes: a Structural Equation Modeling Approach.

Janmohammadi P, Djafari F, Farsani G, Shab-Bidar S, Mehrizi A Clin Nutr Res. 2020; 9(4):271-283.

PMID: 33204667 PMC: 7644370. DOI: 10.7762/cnr.2020.9.4.271.


Role of Calcium and Low-Fat Dairy Foods in Weight-Loss Outcomes Revisited: Results from the Randomized Trial of Effects on Bone and Body Composition in Overweight/Obese Postmenopausal Women.

Ilich J, Kelly O, Liu P, Shin H, Kim Y, Chi Y Nutrients. 2019; 11(5).

PMID: 31126121 PMC: 6566640. DOI: 10.3390/nu11051157.


Relationship between diet-related indicators and overweight and obesity in older adults in rural Japan.

Ishikawa M, Moriya S, Yokoyama T J Nutr Health Aging. 2017; 21(7):759-765.

PMID: 28717805 DOI: 10.1007/s12603-016-0807-x.


References
1.
Soares M, Murhadi L, Kurpad A, Chan She Ping-Delfos W, Piers L . Mechanistic roles for calcium and vitamin D in the regulation of body weight. Obes Rev. 2012; 13(7):592-605. DOI: 10.1111/j.1467-789X.2012.00986.x. View

2.
Fulgoni 3rd V, Nicholls J, Reed A, Buckley R, Kafer K, Huth P . Dairy consumption and related nutrient intake in African-American adults and children in the United States: continuing survey of food intakes by individuals 1994-1996, 1998, and the National Health And Nutrition Examination Survey 1999-2000. J Am Diet Assoc. 2007; 107(2):256-64. DOI: 10.1016/j.jada.2006.11.007. View

3.
Gagne P, Hancock G . Measurement Model Quality, Sample Size, and Solution Propriety in Confirmatory Factor Models. Multivariate Behav Res. 2016; 41(1):65-83. DOI: 10.1207/s15327906mbr4101_5. View

4.
Zadshir A, Tareen N, Pan D, Norris K, Martins D . The prevalence of hypovitaminosis D among US adults: data from the NHANES III. Ethn Dis. 2005; 15(4 Suppl 5):S5-97-101. View

5.
Jackson J, Doescher M, Jerant A, Hart L . A national study of obesity prevalence and trends by type of rural county. J Rural Health. 2005; 21(2):140-8. DOI: 10.1111/j.1748-0361.2005.tb00074.x. View