scholarly journals The Association between Serum Concentration of Irisin, Glucose-dependent Insulinotropic Polypeptide and Body Mass Index among Women with and without Polycystic Ovary Syndrome

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Samira Behboudi-Gandevani ◽  
Mehdi Hedayati ◽  
Mohammad Ali Mansournia ◽  
Maryam Nazemipour ◽  
Maryam Rahmati ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Serum Concentration ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Fractional Polynomial ◽  
Non Linear

Background: The actions of adipocytokines may be a connective factor between obesity and polycystic ovary syndrome (PCOS). It is suggested that irisin, as recently described cytokine secreted by skeletal muscles and glucose-dependent insulinotropic polypeptide (GIP) as an incretin hormone that induces cytokine expression, may play key roles in favoring obesity in these women. Objectives: We aimed to evaluate the association between body mass index (BMI) and serum concentration of irisin/GIP in women with and without PCOS in the linear and non-linear model. Methods: This cross-sectional study was conducted among 159 PCOS and 82 healthy eumenorrheic non-hirsute women aged 20 - 50 years. The fractional-polynomial model was used to develop a model of continuous risk factors, which evaluates non-linear associations between irisin/GIP and BMI among women with and without PCOS. Results: Women with PCOS were significantly younger (28.2 ± 5.8 vs. 33.0 ± 7.8 years, P < 0.001) and had a greater BMI (26.6 ± 5.2 vs. 25.2 ± 4.8 kg/m2, P = 0.04) than the healthy counterparts. There were no significant linear and non-linear associations between serum concentration of irisin/GIP and BMI in both groups. The analysis of pair-wise age and BMI matching of women with PCOS and controls confirmed these findings. Conclusions: This study showed that irisin and GIP have no association with BMI in women with or without PCOS. This finding could help to better understand the underlying pathophysiological status of PCOS, insulin resistance, and obesity-related disorders. Further large cohort studies are needed to confirm these findings.

scholarly journals Does body mass index have an effect on the prevalence of various symptoms of polycystic ovary syndrome and their associated risk factors?

2021 ◽  
Vol 84 (2) ◽  
pp. 101-116
Author(s):  
Raminder Kaur ◽  
Maninder Kaur ◽  
Vanita Suri
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Activity Level ◽  
Polycystic Ovaries ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Associated Risk Factors

Abstract The present cross-sectional study is an attempt to understand the effect of body mass index (BMI) on the prevalence of various symptoms of polycystic ovary syndrome (PCOS) and to evaluate its associated risk factors. A total of 250 PCOS women diagnosed by Rotterdam Criteria (2003), age ranging from 18–45 years, attending OPD of Gynaecology and Obstetrics of PGIMER, Chandigarh, India were enrolled in the study. All the participants were divided in three groups according to their body mass index (BMI). The polycystic ovaries (83.2%) were the most frequently occurring symptoms of PCOS followed by hirsutism (74.4%), oligomenorrhea (60%), seborrhea (45.2%) and acne (40%). Category wise frequency distribution showed higher prevalence of symptoms among women in overweight/obese category, which were further supported by correspondence analysis. Results of multivariate analysis revealed that marital status, type of diet, socio-economic status and physical activity level were potential risk factors contributing to severe manifestations of PCOS symptoms. Obesity denoted as an important risk factor can exaggerate many symptoms of PCOS and also be a causative factor for menstrual disturbance.

scholarly journals Updated adolescent diagnostic criteria for polycystic ovary syndrome: impact on prevalence and longitudinal body mass index trajectories from birth to adulthood

BMC Medicine ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Chau Thien Tay ◽  
Roger J. Hart ◽  
Martha Hickey ◽  
Lisa J. Moran ◽  
Arul Earnest ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Bmi Trajectories ◽  
Health Complications ◽  
Rotterdam Criteria

Abstract Background Polycystic ovary syndrome (PCOS) is challenging to diagnose. While the 2003 Rotterdam criteria are widely used for adults, the 2018 international PCOS guideline recommended updated Rotterdam criteria with both hyperandrogenism and oligo-anovulation for adolescents based on evidence-informed expert consensus. This study compared the prevalence of PCOS using updated and original Rotterdam criteria in community-based adolescents and explored long-term body mass index (BMI) trajectories across different diagnostic phenotypes. Methods Overall, 227 postmenarchal adolescent females from the prospective cohort Raine Study undertook comprehensive PCOS assessment at age 14–16 years. Detailed anthropometric measurements were collected from birth until age 22 years. Cross-sectional and longitudinal BMI were analyzed using t tests and generalized estimating equations. Results PCOS was diagnosed in 66 (29.1%) participants using original criteria versus 37 (16.3%) participants using updated Rotterdam criteria. Using updated criteria, participants with PCOS had higher BMI than participants without PCOS from prepubertal. Only the phenotype meeting the updated criteria was significantly associated with higher long-term BMI gain whereas other PCOS phenotypes had similar BMI trajectories to participants without PCOS (p < 0.001). Conclusions The use of the 2018 updated Rotterdam criteria reduces over-diagnosis of PCOS in adolescents and identifies those at the greatest risk of long-term weight gain, a key contributor to disease severity and long-term health implications. The BMI trajectories of females with PCOS on updated criteria diverge prepubertally compared to those without PCOS. This work supports targeting adolescents diagnosed with PCOS on the 2018 updated criteria for early lifestyle interventions to prevent long-term health complications.

Metformin treatment with or without life style changes in patients with polycystic ovary syndrome

2011 ◽  
Vol 152 (16) ◽  
pp. 628-632 ◽  
Author(s):  
Gyula Petrányi ◽  
Mária Zaoura-Petrányi
Keyword(s):  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Treatment Period ◽  
Body Mass ◽  
Life Style ◽  
Polycystic Ovary ◽  
Glycaemic Index ◽  
Ovary Syndrome ◽  
Waist To Hip Ratio ◽  
Life Style Changes

Treatment with metformin three times 500 mg daily had been advised since 2002, to patients suffering from the polycystic ovary syndrome diagnosed by the Rotterdam criteria and who did not want to take contraceptive pills. More recently, life style changes have also been introduced to treatment recommendation: increased physical activity, low glycaemic index diet; also with calorie restriction for the obese patients. Aim: To assess the efficacy of the two treatment forms on clinical symptoms of the disease. Method: The metformin only historical control group (metformin monotherapy) consisted of 27 patients between the ages from 18 to 39 years (mean 29 years); to which was the age-matched metformin and life style changes group (triple basal therapy) of 29 patients compared. The following parameters were registered at the beginning and the end of a six-month treatment period: global acne score, Ferriman-Gallwey hirsutism score, body mass index, waist-to-hip circumference ratio, and menstrual cycles. Results: By the end of the treatment period, both acne and hirsutism scores improved significantly in both treatment groups (P<0.001); the improvements did not differ between them: acne 8.6±5.7 vs. 9.2±5.9 (P = 0.70); hirsutism 2.5±2.0 vs. 2.6±1.6 (P = 0.83). Body mass index and waist-to-hip ratio remained practically unchanged in the metformin only group: 0.26±1.0 kg/m2 (P = 0.21) and 0.001±0.02 (P = 0.71). Body mass index decreased in the triple therapy group by 0.91±1.1 kg/m2 (P<0.001); and waist-to-hip ratio by 0.019±0.03 (P<0.001). The decrease of the body mass index was more remarkable in overweight patients: 1.10±1.26 kg/m2 (P = 0.002) vs. 0.64±0.88 kg/m2 (P = 0.03) in lean patients. Recommendation on life style changes with metformin did not show further improvement of hyperandrogenic symptoms in comparison to metformin alone but the combined therapy diminished body size indexes. Conclusion: Authors recommend the triple basal treatment consisting of metformin, physical exercise and low glycaemic index diet to their patients with polycystic ovary syndrome for assessment of its long-term efficacy. Orv. Hetil., 2011, 152, 628–632.

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