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The Relationship between Dietary Patterns and Metabolic Health in a Representative Sample of Adult Australians.
Nutrients. 2015 Aug 05; 7(8):6491-505.N

Abstract

Studies assessing dietary intake and its relationship to metabolic phenotype are emerging, but limited. The aims of the study are to identify dietary patterns in Australian adults, and to determine whether these dietary patterns are associated with metabolic phenotype and obesity. Cross-sectional data from the Australian Bureau of Statistics 2011 Australian Health Survey was analysed. Subjects included adults aged 45 years and over (n = 2415). Metabolic phenotype was determined according to criteria used to define metabolic syndrome (0-2 abnormalities vs. 3-7 abnormalities), and additionally categorized for obesity (body mass index (BMI) ≥30 kg/m2 vs. BMI <30 kg/m2). Dietary patterns were derived using factor analysis. Multivariable models were used to assess the relationship between dietary patterns and metabolic phenotype, with adjustment for age, sex, smoking status, socio-economic indexes for areas, physical activity and daily energy intake. Twenty percent of the population was metabolically unhealthy and obese. In the fully adjusted model, for every one standard deviation increase in the Healthy dietary pattern, the odds of having a more metabolically healthy profile increased by 16% (odds ratio (OR) 1.16; 95% confidence interval (CI): 1.04, 1.29). Poor metabolic profile and obesity are prevalent in Australian adults and a healthier dietary pattern plays a role in a metabolic and BMI phenotypes. Nutritional strategies addressing metabolic syndrome criteria and targeting obesity are recommended in order to improve metabolic phenotype and potential disease burden.

Authors+Show Affiliations

Nutrition and Dietetics, School of Health Sciences, Faculty of Medicine, Nursing and Health Sciences, Flinders University, Bedford Park 5042, Australia. lucy.bell@flinders.edu.au.Data Management and Analysis Centre (DMAC), Faculty of Health Sciences, University of Adelaide, Adelaide 5005, Australia. suzanne.edwards@adelaide.edu.au.Robinson Research Institute, School of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide 5005, Australia. jessica.grieger@adelaide.edu.au.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

26251918

Citation

Bell, Lucinda K., et al. "The Relationship Between Dietary Patterns and Metabolic Health in a Representative Sample of Adult Australians." Nutrients, vol. 7, no. 8, 2015, pp. 6491-505.
Bell LK, Edwards S, Grieger JA. The Relationship between Dietary Patterns and Metabolic Health in a Representative Sample of Adult Australians. Nutrients. 2015;7(8):6491-505.
Bell, L. K., Edwards, S., & Grieger, J. A. (2015). The Relationship between Dietary Patterns and Metabolic Health in a Representative Sample of Adult Australians. Nutrients, 7(8), 6491-505. https://doi.org/10.3390/nu7085295
Bell LK, Edwards S, Grieger JA. The Relationship Between Dietary Patterns and Metabolic Health in a Representative Sample of Adult Australians. Nutrients. 2015 Aug 5;7(8):6491-505. PubMed PMID: 26251918.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The Relationship between Dietary Patterns and Metabolic Health in a Representative Sample of Adult Australians. AU - Bell,Lucinda K, AU - Edwards,Suzanne, AU - Grieger,Jessica A, Y1 - 2015/08/05/ PY - 2015/06/10/received PY - 2015/07/29/revised PY - 2015/07/31/accepted PY - 2015/8/8/entrez PY - 2015/8/8/pubmed PY - 2016/5/20/medline KW - Australia, national survey KW - adults KW - body mass index KW - dietary patterns KW - metabolic health KW - obesity SP - 6491 EP - 505 JF - Nutrients JO - Nutrients VL - 7 IS - 8 N2 - Studies assessing dietary intake and its relationship to metabolic phenotype are emerging, but limited. The aims of the study are to identify dietary patterns in Australian adults, and to determine whether these dietary patterns are associated with metabolic phenotype and obesity. Cross-sectional data from the Australian Bureau of Statistics 2011 Australian Health Survey was analysed. Subjects included adults aged 45 years and over (n = 2415). Metabolic phenotype was determined according to criteria used to define metabolic syndrome (0-2 abnormalities vs. 3-7 abnormalities), and additionally categorized for obesity (body mass index (BMI) ≥30 kg/m2 vs. BMI <30 kg/m2). Dietary patterns were derived using factor analysis. Multivariable models were used to assess the relationship between dietary patterns and metabolic phenotype, with adjustment for age, sex, smoking status, socio-economic indexes for areas, physical activity and daily energy intake. Twenty percent of the population was metabolically unhealthy and obese. In the fully adjusted model, for every one standard deviation increase in the Healthy dietary pattern, the odds of having a more metabolically healthy profile increased by 16% (odds ratio (OR) 1.16; 95% confidence interval (CI): 1.04, 1.29). Poor metabolic profile and obesity are prevalent in Australian adults and a healthier dietary pattern plays a role in a metabolic and BMI phenotypes. Nutritional strategies addressing metabolic syndrome criteria and targeting obesity are recommended in order to improve metabolic phenotype and potential disease burden. SN - 2072-6643 UR - https://www.unboundmedicine.com/medline/citation/26251918/The_Relationship_between_Dietary_Patterns_and_Metabolic_Health_in_a_Representative_Sample_of_Adult_Australians_ L2 - https://www.mdpi.com/resolver?pii=nu7085295 DB - PRIME DP - Unbound Medicine ER -