Dietary Intake and Risk of Eating Disorder among Different Phenotypes of Polycystic Ovarian Syndrome
Surbhi Tripathi
, Mukta Singh , Madhu Jain , Manushi Srivastava
ovulatory dysfunction, nutritional status, dietary intake, eating disorder
Polycystic Ovarian Syndrome (PCOS) is directly associated with bodyweight that could be triggered by altered dietary behavior which includes binge eating, anorexia nervosa, uncontrolled eating, bulimia, and excessive dieting behavior. The present study aimed to assess dietary intake and eating disorders among different phenotypes of polycystic ovarian syndrome. Total 147 women suffering from PCOS were selected as the case and 144 women as control group. All PCOS subjects were classified into four phenotypes i.e. A, B, C, D based on the presence and absence of symptoms such as hyperandrogenism, ovulatory dysfunction, polycystic ovarian morphology. Dietary intake and eating disorder were measured by self-constructed food frequency questionnaire, 24-hour dietary recall and EAT-26 scale. Mean energy and fat intake was significantly high (<0.01) in phenotypes of PCOS as compared to the control group. Carbohydrate intake was high among all phenotypes as compared to the healthy subject but statistically not significant. A significant difference was observed <0.01 among all participants in reference of eating disorder. Maximum participants from phenotypic classification were at risk to develop eating disorder. A limited energy and fat intake could be helpful in managing symptoms associated with the different phenotypes of PCOS.
"Dietary Intake and Risk of Eating Disorder among Different Phenotypes of Polycystic Ovarian Syndrome", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 6, page no.121 - 125, June-2022, Available :https://ijsdr.org/papers/IJSDR2206020.pdf
Volume 7
Issue 6,
June-2022
Pages : 121 - 125
Paper Reg. ID: IJSDR_200486
Published Paper Id: IJSDR2206020
Downloads: 000347080
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
