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- Publisher Website: 10.1038/s41430-020-0620-9
- Scopus: eid_2-s2.0-85083281369
- PMID: 32253376
- WOS: WOS:000523953800003
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Article: The association between carbohydrate quality and nutrient adequacy in Australian adults
Title | The association between carbohydrate quality and nutrient adequacy in Australian adults |
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Authors | |
Keywords | Glycemic Load Test Meals Dietary Carbohydrates |
Issue Date | 2020 |
Publisher | Nature Publishing Group. The Journal's web site is located at http://www.nature.com/ejcn |
Citation | European Journal of Clinical Nutrition, 2020, v. 74, p. 1594-1602 How to Cite? |
Abstract | Background/objectives: To examine the association between various carbohydrate quality indicators and nutrient adequacy in Australian adults.
Subjects/methods: Dietary data from adult participants of the 2011–2012 Australian Health Survey (weighted n = 6150) who had completed two 24 h recalls were analyzed. Glycaemic indices (GI) of foods were estimated based on a published method. Quartiles of dietary GI (dGI) and glycaemic load (dGL), and intakes of high (CHOhighGI) and low-GI carbohydrates (CHOlowGI) were derived. Estimated marginal means and standard errors of nutrient and food group intakes by quartiles were calculated using ANCOVA. Odds ratios of not meeting the nutrient reference values for Australia and New Zealand (NRVs) by quartiles of the carbohydrate quality indicators were calculated by logistic regression. Analyses were adjusted for known confounders.
Results: Participants with higher CHOhighGI had lower intakes of the majority of nutrients examined, except sodium and %energy from free sugars. They were also more than 100% more likely to not meet the NRVs of vitamin A (2.19, 95% CI 1.89, 2.84), vitamin C (3.93, 95% CI: 1.61, 9.60), vitamin E (2.63, 95% CI: 2.08, 3.31), iron (2.27, 95% CI: 1.48, 3.49), magnesium (2.50, 95% CI: 2.01, 3.12), potassium (2.25, 95% CI: 1.79, 2.83), %EFS (2.74, 95% CI: 2.22, 3.38), and LCn3PUFA (2.35, 95% CI: 1.76, 3.16). Similar results were observed for dGI and dGL, while trends for CHOlowGI were in opposite direction in general.
Conclusions: Of the carbohydrate quality indicators examined, CHOhighGI was the strongest predictor of nutrient adequacy. Improvement in nutrient adequacy likely contributed to the health protective effect of a low-GI diet. |
Persistent Identifier | http://hdl.handle.net/10722/288306 |
ISSN | 2023 Impact Factor: 3.6 2023 SCImago Journal Rankings: 1.168 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Kwan, DKY | - |
dc.contributor.author | Louie, JCY | - |
dc.date.accessioned | 2020-10-05T12:10:55Z | - |
dc.date.available | 2020-10-05T12:10:55Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | European Journal of Clinical Nutrition, 2020, v. 74, p. 1594-1602 | - |
dc.identifier.issn | 0954-3007 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288306 | - |
dc.description.abstract | Background/objectives: To examine the association between various carbohydrate quality indicators and nutrient adequacy in Australian adults. Subjects/methods: Dietary data from adult participants of the 2011–2012 Australian Health Survey (weighted n = 6150) who had completed two 24 h recalls were analyzed. Glycaemic indices (GI) of foods were estimated based on a published method. Quartiles of dietary GI (dGI) and glycaemic load (dGL), and intakes of high (CHOhighGI) and low-GI carbohydrates (CHOlowGI) were derived. Estimated marginal means and standard errors of nutrient and food group intakes by quartiles were calculated using ANCOVA. Odds ratios of not meeting the nutrient reference values for Australia and New Zealand (NRVs) by quartiles of the carbohydrate quality indicators were calculated by logistic regression. Analyses were adjusted for known confounders. Results: Participants with higher CHOhighGI had lower intakes of the majority of nutrients examined, except sodium and %energy from free sugars. They were also more than 100% more likely to not meet the NRVs of vitamin A (2.19, 95% CI 1.89, 2.84), vitamin C (3.93, 95% CI: 1.61, 9.60), vitamin E (2.63, 95% CI: 2.08, 3.31), iron (2.27, 95% CI: 1.48, 3.49), magnesium (2.50, 95% CI: 2.01, 3.12), potassium (2.25, 95% CI: 1.79, 2.83), %EFS (2.74, 95% CI: 2.22, 3.38), and LCn3PUFA (2.35, 95% CI: 1.76, 3.16). Similar results were observed for dGI and dGL, while trends for CHOlowGI were in opposite direction in general. Conclusions: Of the carbohydrate quality indicators examined, CHOhighGI was the strongest predictor of nutrient adequacy. Improvement in nutrient adequacy likely contributed to the health protective effect of a low-GI diet. | - |
dc.language | eng | - |
dc.publisher | Nature Publishing Group. The Journal's web site is located at http://www.nature.com/ejcn | - |
dc.relation.ispartof | European Journal of Clinical Nutrition | - |
dc.rights | This is a post-peer-review, pre-copyedit version of an article published in European Journal of Clinical Nutrition. The final authenticated version is available online at: https://doi.org/10.1038/s41430-020-0620-9 | - |
dc.subject | Glycemic Load | - |
dc.subject | Test Meals | - |
dc.subject | Dietary Carbohydrates | - |
dc.title | The association between carbohydrate quality and nutrient adequacy in Australian adults | - |
dc.type | Article | - |
dc.identifier.email | Louie, JCY: jimmyl@hku.hk | - |
dc.identifier.authority | Louie, JCY=rp02118 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1038/s41430-020-0620-9 | - |
dc.identifier.pmid | 32253376 | - |
dc.identifier.scopus | eid_2-s2.0-85083281369 | - |
dc.identifier.hkuros | 314710 | - |
dc.identifier.volume | 74 | - |
dc.identifier.spage | 1594 | - |
dc.identifier.epage | 1602 | - |
dc.identifier.isi | WOS:000523953800003 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0954-3007 | - |