Volume 33, Issue 5 (August 2022)                   Studies in Medical Sciences 2022, 33(5): 379-391 | Back to browse issues page


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Majdizadeh G, Kazami F, Eghtesad S, Mohajerani M, Mirali Z, Movahhedi A. Evaluation of the relationship between food groups and intake of macronutrients and micronutrients with increased risk of PCOS in the women aged 20-40 years referred to Sarem Hospital in Tehran, Iran. Studies in Medical Sciences 2022; 33 (5) :379-391
URL: http://umj.umsu.ac.ir/article-1-5796-en.html
PhD in Clinical Nutrition and Assistant Professor, Department of Nutrition, Science and Research Unit, Islamic Azad University, Tehran, Iran , amm35@mail.aub.edu
Abstract:   (1172 Views)
Background & Aims: Polycystic ovary syndrome is the most common endocrine disorder and the leading cause of infertility in the women of childbearing age. Considering the importance of this disease on women's health and their quality of life, this study was conducted with the aim of investigation of the relationship between dietary patterns and nutritional status on increasing the risk of PCOS in the women aged 20-40 years referred to Sarem Hospital, Tehran, Iran. 
Materials & Methods: This case-control study was performed on 57 patients with PCOS and 58 healthy individuals. This study used demographic Information of the pationts, Physical Activity (IPAQ), and food frequency (FFQ) questionnaires to collect data. Anthropometric indices were also measured. In order to calculate the food groups received in this research, the food items were divided into 16 groups. Then, the obtained items were analyzed based on the normality or absence of the obtained information in two safe and unsafe food groups using appropriate statistical tests for each of the above states. The results were analyzed using SPSS version 24 statistical software.
Results: The average age of people with PCOS was 29.86±5.01 and healthy people was 32.12±4.92 years. The results showed that weight, waist circumference, hip circumference, waist-to-hip ratio, waist circumference, waist height, and fat percentage were significantly different in the patients with PCOS from healthy individuals (P<0.05). Also, energy consumption, protein, EPA, DHA, sodium, potassium, vitamins B1, B2, B3, B6, B12, phosphorus, magnesium, zinc, copper, selenium, total fiber, crude fiber, and glucose were significantly different in the patients with PCOS from healthy individuals (P<0.05).
Conclusion: Anthropometric indices were higher in the patients with PCOS compared to healthy individuals. Also, intake of some macronutrients and micronutrients was higher in patients with PCOS compared to healthy people. However, there was no statistically significant difference in the amount of intake of any of the 16 daily food items between the two groups with PCOS.
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Type of Study: Research | Subject: Nutrition

References
1. Sartor BM, Dickey RP. Polycystic ovarian syndrome and the metabolic syndrome. Am J Med Sci 2005;330(6):336-42. [DOI:10.1097/00000441-200512000-00012] [PMID]
2. Teede H, Deeks A, Moran L. Polycystic ovary syndrome: a complex condition with psychological, reproductive and metabolic manifestations that impacts on health across the lifespan. BMC Med 2010;8:41. [DOI:10.1186/1741-7015-8-41] [PMID] [PMCID]
3. Love JG, McKenzie JS, Nikokavoura EA, Broom J, Rolland C, Johnston KL. The experiences of women with polycystic ovary syndrome on a very low-calorie diet. Int J Womens Health 2016;8:299-310. [DOI:10.2147/IJWH.S100385] [PMID] [PMCID]
4. Abedini M, Ghaedi E, Hadi A, Mohammadi H, Amani R. Zinc status and polycystic ovarian syndrome: A systematic review and meta-analysis. J Trace Elem Med Biol 2019;52:216-21. [DOI:10.1016/j.jtemb.2019.01.002] [PMID]
5. Pourteymour Fard Tabrizi F, Mehrzad Sadaghiani M, Alipoor B, Ostadrahimi A. Minerals status in women with polycystic ovary syndrome. J Kashan Univ Med Sci 2013;16(7):677-8. [Google Scholar]
6. Neda F, Sakineh S-B, Kurosh D. Effect of omega-3 fatty acids supplementation on testosterone levels in women with polycystic ovary syndrome: Meta-analysis of randomized controlled trials. J Nutr Sci Diabetics 2015;1(3). [Google Scholar]
7. Kawwass JF, Loucks TL, Berga SL. An algorithm for treatment of infertile women with polycystic ovary syndrome. Middle East Fertil Soc J 2010;15(4):231-9. [DOI:10.1016/j.mefs.2010.07.010]
8. West PW. Simple random sampling of individual items in the absence of a sampling frame that lists the individuals. N Z J For Sci 2016;46(1). [DOI:10.1186/s40490-016-0071-1]
9. Madani Z, Moussavi Javardi MS, Karandish M, Movahedi A. Promoting and Updating Food Frequency Questionnaire Tool to Measure Food Consumption and Nutrient Intake Analysis. Int J Prev Med 2021;12:165. [DOI:10.4103/ijpvm.IJPVM_511_20] [PMID] [PMCID]
10. Yeo R, Yoon SR, Kim OY. The Association between Food Group Consumption Patterns and Early Metabolic Syndrome Risk in Non-Diabetic Healthy People. Clin Nutr Res 2017;6(3):172-82. [DOI:10.7762/cnr.2017.6.3.172] [PMID] [PMCID]
11. Konstantinova SV, Tell GS, Vollset SE, Ulvik A, Drevon CA, Ueland PM. Dietary patterns, food groups, and nutrients as predictors of plasma choline and betaine in middle-aged and elderly men and women. Am J Clin Nutr 2008;88(6):1663-9. [DOI:10.3945/ajcn.2008.26531] [PMID]
12. Absalom AR, Mani V, De Smet T, Struys MM. Pharmacokinetic models for propofol--defining and illuminating the devil in the detail. Br J Anaesth 2009;103(1):26-37. [DOI:10.1093/bja/aep143] [PMID]
13. Peterson CM, Thomas DM, Blackburn GL, Heymsfield SB. Universal equation for estimating ideal body weight and body weight at any BMI. Am J Clin Nutr 2016;103(5):1197-203. [DOI:10.3945/ajcn.115.121178] [PMID] [PMCID]
14. Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr 1991;65(2):105-14. [DOI:10.1079/BJN19910073] [PMID]
15. Bahram Pourghassem Gargari, Shiva Houjeghani, Laya Farzadi, Sheyda Houjeghani BS, Abdolrasoul Safaeiyan. Relationship between Serum Leptin, Ghrelin and Dietary Macronutrients in Women with Polycystic Ovary Syndrome Int J Fertil Steril 2014;9(3). [Google Scholar]
16. Arshad F MR, KN, BA, KM, SH, Sh P. Assessment and Association between Lipid and Hormonal Profile in NonPregnant Females Having Polycystic Ovarian Syndrome. Endocrinol Metab Syndr 2019;8(1):1-5. [Google Scholar]
17. Sell H, Laurencikiene J, Taube A, Eckardt K, Cramer A, Horrighs A, et al. Chemerin is a novel adipocyte-derived factor inducing insulin resistance in primary human skeletal muscle cells. Diabetes 2009;58(12):2731-40. [DOI:10.2337/db09-0277] [PMID] [PMCID]
18. Badawy A, Elnashar A. Treatment options for polycystic ovary syndrome. Int J Womens Health 2011;3:25-35. [DOI:10.2147/IJWH.S11304] [PMID] [PMCID]
19. Chumlea WC, Wisemandle W, Guo SS, Siervogel RM. Relations between frame size and body composition and bone mineral status. Am J Clin Nutr 2002;75(6):1012-6. [DOI:10.1093/ajcn/75.6.1012] [PMID]
20. Hosseini MS, Dizavi A, Rostami H, Parastouei K, Esfandiari S. Healthy eating index in women with polycystic ovary syndrome: A case-control study. Int J Reprod Biomed 2017;15(9):575-82. [DOI:10.29252/ijrm.15.9.575] [PMID] [PMCID]
21. Wang Z, Groen H, Cantineau AEP, van Elten TM, Karsten MDA, van Oers AM, et al. Dietary Intake, Eating Behavior, Physical Activity, and Quality of Life in Infertile Women with PCOS and Obesity Compared with Non-PCOS Obese Controls. Nutrients 2021;13(10). [DOI:10.3390/nu13103526] [PMID] [PMCID]
22. Xenou M, Gourounti K. Dietary Patterns and Polycystic Ovary Syndrome: a Systematic Review. Maedica (Bucur) 2021;16(3):516-21. [DOI:10.26574/maedica.2020.16.3.516] [PMCID]
23. Lemaire JB, Wallace JE, Dinsmore K, Roberts D. Food for thought: an exploratory study of how physicians experience poor workplace nutrition. Nutr J 2011;10(1):18. [DOI:10.1186/1475-2891-10-18] [PMID] [PMCID]
24. Harkin N, Johnston E, Mathews T, Guo Y, Schwartzbard A, Berger J, et al. Physicians' Dietary Knowledge, Attitudes, and Counseling Practices: The Experience of a Single Health Care Center at Changing the Landscape for Dietary Education. Am J Lifestyle Med 2019;13(3):292-300. [DOI:10.1177/1559827618809934] [PMID] [PMCID]
25. Smailhodzic E, Hooijsma W, Boonstra A, Langley DJ. Social media use in healthcare: A systematic review of effects on patients and on their relationship with healthcare professionals. BMC Health Serv Res 2016;16(1):442. [DOI:10.1186/s12913-016-1691-0] [PMID] [PMCID]
26. Hajivandi L, Noroozi M, Mostafavi F, Ekramzadeh M. Assessing the impact of an educational intervention program based on the theory of planned behavior on the nutritional behaviors of adolescents and young adults with PCOS in Iran: a field trial study. BMC Pediatr 2021;21(1):316. [DOI:10.1186/s12887-021-02784-z] [PMID] [PMCID]
27. Ehsani B, Moslehi N, Mirmiran P. Effects of Hypo-caloric Ddiet and Dietary Composition on Reproductive and Metabolic Disorders in Women with Polycystic Ovary Syndrome: A Review of Studies. Iran J Nutr Sci Food Technol 2015;10(2):103-14. [Google Scholar]
28. Graff SK, Mário FM, Alves BC, Spritzer PM. Dietary glycemic index is associated with less favorable anthropometric and metabolic profiles in polycystic ovary syndrome women with different phenotypes. Fertil Steril 2013;100(4):1081-8. [DOI:10.1016/j.fertnstert.2013.06.005] [PMID]
29. Douglas CC, Norris LE, Oster RA, Darnell BE, Azziz R, Gower BA. Difference in dietary intake between women with polycystic ovary syndrome and healthy controls. Fertil Steril 2006;86(2):411-7. [DOI:10.1016/j.fertnstert.2005.12.054] [PMID]
30. Zaeemzadeh N, Jahanian Sadatmahalleh S, Ziaei S, Kazemnejad A, Movahedinejad M, Mottaghi A, et al. Comparison of dietary micronutrient intake in PCOS patients with and without metabolic syndrome. J Ovarian Res 2021;14(1):10. [DOI:10.1186/s13048-020-00746-0] [PMID] [PMCID]
31. ElObeid T, Awad MO, Ganji V, Moawad J. The Impact of Mineral Supplementation on Polycystic Ovarian Syndrome. Metabolites 2022;12(4). [DOI:10.3390/metabo12040338] [PMID] [PMCID]
32. Rodriguez Paris V, Solon-Biet SM, Senior AM, Edwards MC, Desai R, Tedla N, et al. Defining the impact of dietary macronutrient balance on PCOS traits. Nat Commun 2020;11(1):5262. [DOI:10.1038/s41467-020-19003-5] [PMID] [PMCID]
33. Zheng X, Chen Y, Ma D, Zhang M, Huang Y, Tong M, et al. Correlation Between Daily Energy Intake from Fat with Insulin Resistance in Patients with Polycystic Ovary Syndrome. Diabetes Metab Syndr Obes 2021;14:295-303. [DOI:10.2147/DMSO.S287936] [PMID] [PMCID]
34. Nybacka Å, Hellström PM, Hirschberg AL. Increased fibre and reduced trans fatty acid intake are primary predictors of metabolic improvement in overweight polycystic ovary syndrome-Substudy of randomized trial between diet, exercise and diet plus exercise for weight control. Clin Endocrinol (Oxf) 2017;87(6):680-8. [DOI:10.1111/cen.13427] [PMID]
35. Zhang J, Liu Y, Liu X, Xu L, Zhou L, Tang L, et al. High Intake of Energy and Fat in Southwest Chinese Women with PCOS: A Population-Based Case-Control Study. PLoS One 2015;10(5):e0127094. [DOI:10.1371/journal.pone.0127094] [PMID] [PMCID]
36. Pourteymour Fard Tabrizi F, Alipoor B, Mehrzad Sadaghiani M, Ostadrahimi A, Malek Mahdavi A. Metabolic Syndrome and Its Characteristics among Reproductive-Aged Women with Polycystic Ovary Syndrome: A Cross-sectional Study in Northwest Iran. Int J Fertil Steril 2013;6(4):244-9. [PMCID]
37. Wright CE, Zborowski JV, Talbott EO, McHugh-Pemu K, Youk A. Dietary intake, physical activity, and obesity in women with polycystic ovary syndrome. Int J Obes Relat Metab Disord 2004;28(8):1026-32. [DOI:10.1038/sj.ijo.0802661] [PMID]
38. Shishehgar F, Ramezani Tehrani F, Mirmiran P, Hajian S, Baghestani AR, Moslehi N. Comparison of Dietary Intake between Polycystic Ovary Syndrome Women and Controls. Glob J Health Sci 2016;8(9):54801. [DOI:10.5539/gjhs.v8n9p302] [PMID] [PMCID]
39. Panjeshahin A, Khosravi M, Hosseinzadeh M. Polycystic Ovary Syndrome and Dietary Patterns in Iran: A Review Study. J Nutr Food Sec 2019;4(1):58-65. [DOI:10.18502/jnfs.v4i1.400]
40. Badri-Fariman M, Naeini AA, Mirzaei K, Moeini A, Hosseini M, Bagheri SE, et al. Association between the food security status and dietary patterns with polycystic ovary syndrome (PCOS) in overweight and obese Iranian women: a case-control study. J Ovarian Res 2021;14(1):134. [DOI:10.1186/s13048-021-00890-1] [PMID] [PMCID]
41. Nchanji EB, Ageyo OC. Do Common Beans (Phaseolus vulgaris L.) Promote Good Health in Humans? A Systematic Review and Meta-Analysis of Clinical and Randomized Controlled Trials. Nutrients 2021;13(11). [DOI:10.3390/nu13113701] [PMID] [PMCID]
42. Clark JL, Taylor CG, Zahradka P. Rebelling against the (Insulin) Resistance: A Review of the Proposed Insulin-Sensitizing Actions of Soybeans, Chickpeas, and Their Bioactive Compounds. Nutrients 2018;10(4). [DOI:10.3390/nu10040434] [PMID] [PMCID]
43. Yaghi N, Boulos C, Baddoura R, Abifadel M, Yaghi C. Validity and reliability of a food frequency questionnaire for community dwelling older adults in a Mediterranean country: Lebanon. Nutr J 2022;21(1):40. [DOI:10.1186/s12937-022-00788-8] [PMID] [PMCID]

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