Dietary Strategies to Reduce Triglycerides in Women of Reproductive Age: A Simulation Modelling Study.

Publisher: MDPI Publishing Country of Publication: Switzerland NLM ID: 101521595 Publication Model: Electronic Cited Medium: Internet ISSN: 2072-6643 (Electronic) Linking ISSN: 20726643 NLM ISO Abbreviation: Nutrients Subsets: MEDLINE

Original Publication: Basel, Switzerland : MDPI Publishing

Diet* ; Energy Intake*; Humans ; Female ; Triglycerides ; Australia ; Vegetables ; Chronic Disease

Many women of reproductive age have poor diet quality and are at higher risk of chronic diseases such as diabetes. Triglycerides are a critical risk factor for chronic diseases, and although they can be influenced by diet, there are minimal dietary intervention studies identifying key foods/food groups that reduce triglycerides. We performed data simulation modelling to estimate the potential reductions in fasting triglycerides that could be achieved by different dietary strategies in reproductive age women. The model was created using data from the 2011-2013 Australian Health Survey and incorporated various factors such as demographics, nutrient intake, and plasma biomarkers. Multiple linear regression analysis was conducted to estimate triglyceride levels, considering nutrient intake and pre-determined covariates. Dietary scenarios were developed, reducing the consumption of processed/ultra-processed foods, while increasing the intake of minimally processed foods like fruits, vegetables, fish, and nuts. A total of 606 women were included. Reducing processed foods by 50% plus increasing intakes of fruits (75-225 g/day), vegetables (75-225 g/day), or nuts (10-40 g/day) decreased triglycerides by up to 4.3%. Additionally, incorporating 80 g/day of omega 3 fish (>800 mg long-chain omega 3/100 g) decreased triglycerides by 8.2%. The clinical relevance of lowering triglycerides for cardiometabolic disease management should be tested in dietary intervention studies in women.

Metabolism. 2018 Sep;86:33-43. (PMID: 29024702)
Br J Nutr. 2023 Sep 14;130(5):841-851. (PMID: 36458481)
Lancet Diabetes Endocrinol. 2017 Oct;5(10):774-787. (PMID: 28864143)
J Investig Med. 2016 Feb;64(2):383-7. (PMID: 26911628)
BJOG. 2020 Jul;127(8):930-939. (PMID: 32048421)
Fertil Steril. 2011 Mar 1;95(3):1073-9.e1-11. (PMID: 21247558)
Open Heart. 2018 Jul 25;5(2):e000871. (PMID: 30094038)
Front Endocrinol (Lausanne). 2020 Feb 27;11:98. (PMID: 32174891)
Healthcare (Basel). 2017 Mar 08;5(1):. (PMID: 28282852)
Am J Clin Nutr. 2021 Apr 6;113(4):1042-1052. (PMID: 33567452)
Public Health Nutr. 2015 Feb;18(2):218-25. (PMID: 24589225)
Atherosclerosis. 2023 Jul;377:12-23. (PMID: 37343432)
Public Health Nutr. 2019 Apr;22(5):936-941. (PMID: 30744710)
Am J Clin Nutr. 2020 Jan 1;111(1):219-227. (PMID: 31773150)
PLoS Med. 2018 Dec 4;15(12):e1002710. (PMID: 30513077)
Obes Rev. 2013 Nov;14 Suppl 2:21-8. (PMID: 24102801)
CMAJ. 2017 Mar 13;189(10):E391-E397. (PMID: 28385819)
Diabet Med. 2004 Jun;21(6):615-22. (PMID: 15154949)
Fetal Diagn Ther. 2019;45(2):76-84. (PMID: 29898442)
Public Health Nutr. 2018 Jan;21(1):125-133. (PMID: 28625223)
Diabetes Care. 2018 Jul;41(7):1346-1361. (PMID: 29934478)
Nutrients. 2021 Jul 20;13(7):. (PMID: 34371982)
Clin Epidemiol. 2012;4:213-24. (PMID: 22936857)
Eur J Clin Nutr. 2016 Feb;70(2):280-1. (PMID: 26508456)
Nutr J. 2020 Aug 20;19(1):86. (PMID: 32819372)
Eur J Nutr. 2020 Sep;59(6):2783-2792. (PMID: 31676952)
Nutrients. 2021 Oct 27;13(11):. (PMID: 34836086)
Am J Clin Nutr. 2015 Dec;102(6):1347-56. (PMID: 26561616)
Nutrients. 2010 Jul;2(7):652-682. (PMID: 22254047)
Fertil Steril. 2023 Oct;120(4):767-793. (PMID: 37589624)
Eur Heart J. 2020 Jan 1;41(1):99-109c. (PMID: 31764986)
Nutrients. 2022 Apr 05;14(7):. (PMID: 35406131)
Obes Res. 2004 Jul;12(7):1166-78. (PMID: 15292482)
Lancet. 2014 Aug 30;384(9945):766-81. (PMID: 24880830)
Am J Clin Nutr. 2020 Jul 1;112(1):13-18. (PMID: 32491173)
JAMA Cardiol. 2019 May 1;4(5):488-489. (PMID: 30969322)
Atherosclerosis. 2017 Nov;266:87-94. (PMID: 28992469)
Arch Gynecol Obstet. 2022 Apr;305(4):995-1002. (PMID: 34655325)
Hum Reprod Update. 2023 Nov 2;29(6):811-828. (PMID: 37467045)
PLoS Med. 2018 Jan 16;15(1):e1002488. (PMID: 29337985)
Curr Diab Rep. 2013 Apr;13(2):279-88. (PMID: 23325534)
Sci Rep. 2020 Dec 4;10(1):21223. (PMID: 33277541)
Curr Dev Nutr. 2018 Nov 28;3(2):nzy094. (PMID: 30820489)
Int J Behav Nutr Phys Act. 2015 Dec 18;12:160. (PMID: 26684833)

2000905 National Health and Medical Research Council

Keywords: Australia; dietary modelling; foods; health survey; linear programming; triglycerides

0 (Triglycerides)

Date Created: 20231223 Date Completed: 20231225 Latest Revision: 20231225

20231225

PMC10745529

10.3390/nu15245137

38140396