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Nutrient Patterns and Risk of Polycystic Ovary Syndrome.
J Reprod Infertil 2019 Jul-Sep; 20(3):161-168JR

Abstract

Background

There are limited data on the role of nutrient patterns in development of polycystic ovary syndrome (PCOS). The aim of the study is to document the relationship between nutrient patterns and PCOS.

Methods

In this study, 281 incident PCOS women and 472 controls were interviewed through the endocrine clinics between February 2013 and March 2015 in Tehran, Iran. Usual dietary intakes were obtained using a validated semi-quantitative food frequency questionnaire. Factor analysis was conducted on the basis of 32 nutrients. Unconditional logistic regression was performed to ascertain odds ratios. The p<0.05 was considered for significance level.

Results

In principal component analysis two nutrient patterns emerged. Factor 1 had high loadings for riboflavin, niacin, pyridoxine, thiamin, magnesium, pantothenic acid, cobalamin, vitamin C, folate, vitamin D, total fiber, selenium, phosphorus, vitamin E, manganese, vitamin K, monounsaturated fatty acids, polyunsaturated fatty acids, potassium and vegetable protein. Factor 2 characterized by high loadings for carbohydrate, animal protein, fat, cholesterol, saturated fatty acid, sodium, biotin, copper, iron, fluoride, zinc, and calcium. After adjusting for potential confounders, the risk of PCOS was significantly higher in the highest tertile of factor 2 (OR: 2.38, 95% CI: 1.69-3.21). Conversely, being in the highest tertile of factor 1 was associated with a lower risk of PCOS (OR: 0.48, 95% CI: 0.21-0.82).

Conclusion

Our results provide a possible new insight into the interactions between nutrient intakes and PCOS.

Authors+Show Affiliations

Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran. National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran. National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31423419

Citation

Eslamian, Ghazaleh, and Azita Hekmatdoost. "Nutrient Patterns and Risk of Polycystic Ovary Syndrome." Journal of Reproduction & Infertility, vol. 20, no. 3, 2019, pp. 161-168.
Eslamian G, Hekmatdoost A. Nutrient Patterns and Risk of Polycystic Ovary Syndrome. J Reprod Infertil. 2019;20(3):161-168.
Eslamian, G., & Hekmatdoost, A. (2019). Nutrient Patterns and Risk of Polycystic Ovary Syndrome. Journal of Reproduction & Infertility, 20(3), pp. 161-168.
Eslamian G, Hekmatdoost A. Nutrient Patterns and Risk of Polycystic Ovary Syndrome. J Reprod Infertil. 2019;20(3):161-168. PubMed PMID: 31423419.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Nutrient Patterns and Risk of Polycystic Ovary Syndrome. AU - Eslamian,Ghazaleh, AU - Hekmatdoost,Azita, PY - 2019/8/20/entrez PY - 2019/8/20/pubmed PY - 2019/8/20/medline KW - Macronutrients KW - Micronutrients KW - Nutrient patterns KW - Polycystic ovary syndrome KW - Principal component analysis SP - 161 EP - 168 JF - Journal of reproduction & infertility JO - J Reprod Infertil VL - 20 IS - 3 N2 - Background: There are limited data on the role of nutrient patterns in development of polycystic ovary syndrome (PCOS). The aim of the study is to document the relationship between nutrient patterns and PCOS. Methods: In this study, 281 incident PCOS women and 472 controls were interviewed through the endocrine clinics between February 2013 and March 2015 in Tehran, Iran. Usual dietary intakes were obtained using a validated semi-quantitative food frequency questionnaire. Factor analysis was conducted on the basis of 32 nutrients. Unconditional logistic regression was performed to ascertain odds ratios. The p<0.05 was considered for significance level. Results: In principal component analysis two nutrient patterns emerged. Factor 1 had high loadings for riboflavin, niacin, pyridoxine, thiamin, magnesium, pantothenic acid, cobalamin, vitamin C, folate, vitamin D, total fiber, selenium, phosphorus, vitamin E, manganese, vitamin K, monounsaturated fatty acids, polyunsaturated fatty acids, potassium and vegetable protein. Factor 2 characterized by high loadings for carbohydrate, animal protein, fat, cholesterol, saturated fatty acid, sodium, biotin, copper, iron, fluoride, zinc, and calcium. After adjusting for potential confounders, the risk of PCOS was significantly higher in the highest tertile of factor 2 (OR: 2.38, 95% CI: 1.69-3.21). Conversely, being in the highest tertile of factor 1 was associated with a lower risk of PCOS (OR: 0.48, 95% CI: 0.21-0.82). Conclusion: Our results provide a possible new insight into the interactions between nutrient intakes and PCOS. SN - 2228-5482 UR - https://www.unboundmedicine.com/medline/citation/31423419/Nutrient_Patterns_and_Risk_of_Polycystic_Ovary_Syndrome L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31423419/ DB - PRIME DP - Unbound Medicine ER -