Ava Hemmat; Faezeh Mashhadi; Mohsen Nematy; Nayere Khadem; Ezzat Hajmolla Rezaei; Fatemeh Roudi
Abstract
Polycystic ovary syndrome (PCOS) is the most common endocrinological disorder in women of reproductive age. Several studies have shown that inflammation factors have a crucial role in the function of the ovary as ovarian dysfunction can be caused by an imbalance of pro-inflammatory cytokines. Other studies ...
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Polycystic ovary syndrome (PCOS) is the most common endocrinological disorder in women of reproductive age. Several studies have shown that inflammation factors have a crucial role in the function of the ovary as ovarian dysfunction can be caused by an imbalance of pro-inflammatory cytokines. Other studies have shown that PCOS patients have high levels of pro-inflammatory cytokines such as tumor necrosis factor-alpha (TNF-α), c-reactive protein (CRP(, interleukin-6 )IL-6(, and interleukin-8 (IL-8). Inflammation can be caused by a variety of factors including diet, and diet-induced inflammation can contribute to insulin resistance and atherogenesis as well as ovulation problems in women with PCOS. It is possible to calculate the components of diet and inflammation caused by diet using many different indices. The Healthy Eating Index (HEI) and Dietary Inflammatory Index (DII) are relatively new indices. As HEI is the overall health index for diet and DII indicates the inflammatory index of the diet, it is possible that a person’s diet can be generally healthy but has a high risk of inflammation, so these two indices should be considered together. Furthermore, dietary management of PCOS patients can reduce hyperinsulinemia, hyperandrogenism, and inflammation, which in turn helps to control and reduce disease complications such as infertility.
Vahideh Banazadeh; Ali Jangjoo; Andisheh Norouzian Ostad; Golnaz Ranjbar; Mahdi Jabbari Noghabi; Daryoush Hamidi Alamdari; Majid Ghayour Mobarhan; Reyhaneh Faridnia; Mohsen Nematy
Abstract
Introduction:Gastric bypass surgery is an intervention used to treat class III obesity and its complications. Evidence is scarce regarding its benefits among the Iranian population, especially its role in resolving obesity-related complaints and comorbidities. The present study aimed to investigate the ...
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Introduction:Gastric bypass surgery is an intervention used to treat class III obesity and its complications. Evidence is scarce regarding its benefits among the Iranian population, especially its role in resolving obesity-related complaints and comorbidities. The present study aimed to investigate the impact of gastric bypass surgery on the improvement of obesity-related complaints and comorbidities in morbid obesity. Methods:This study was conducted on 35 morbidly obese patients who volunteered to undergo gastric bypass surgery. Anthropometric data, comorbidity status, and dietary habits were collected at baseline and six months postoperatively. Data analysis was performed in SPSS version 16.0. Results: The majority of the patients were female (80%). A significant difference was observed in the frequency distribution of normal dietary habits (five regular meals per day) before and after surgery (P = 0.01). In comparison, the distribution was not significant for snacking and three large meals per day (P > 0.05). All complaints of eating disorders according to self-reports (e.g., overeating and night eating syndrome) significantly improved (P < 0.05 ). Moreover, the dose of the medications prescribed for the comorbidities associated with obesity reduced significantly (P = 0.001). The frequency of several obesity-related complaints (e.g., knee pain, hirsutism, acanthosis nigricans, and sleep apnea) also decreased significantly (P < 0.05). However, no significant improvement was observed in hair loss, brittle nails, and menstrual dysfunction (P > 0.05). Conclusion: Accordingly, gastric bypass surgery could improve obesity-related complaints six months postoperatively. Also, according to the patients’ self -declaration, patients’ adherence to “normal eating habits” increased during this period, and their eating disorders like night eating syndrome (NES) and overeating behaviors decreased compared to before the surgery.
Somaye Norouzi; Mohsen Nematy; Hedieh Zabolinezhad; Samane Sistani; Kobra Etminani
Abstract
World Health Organization (WHO) estimates that the number of people with diabetes will grow 114% by 2030. It declares that patients themselves have more responsibility for controlling and the treatment of diabetes by being provided with updated knowledge about the disease and different aspects of available ...
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World Health Organization (WHO) estimates that the number of people with diabetes will grow 114% by 2030. It declares that patients themselves have more responsibility for controlling and the treatment of diabetes by being provided with updated knowledge about the disease and different aspects of available treatments, and diet therapy in particular. In this regard, diet recommendation systems would be helpful. They are techniques and tools which suggest the best diets according to patient’s health situation and preferences. Accordingly, this narrative review studied food recommendation systems and their features by focusing on nutrition and diabetic issues. Literature searches in Google scholar and Pubmed were conducted in February 2015. Records were limited to papers in English language; however, no limitations were applied for the published date. We recognized three common methods for food recommender system: collaborative filtering recommender system (CFRS), knowledge based recommender system (KBRS) and context-aware recommender system (CARS). Also wellness recommender systems are a subfield of food recommender systems, which help users to find and adapt suitable personalized wellness treatments based on their individual needs. Food recommender systems often used artificial intelligence and semantic web techniques. Some used the combination of both techniques.