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Infertility among women, particularly those living with obesity, presents a multifaceted challenge with implications for reproductive health worldwide. Lifestyle interventions, mainly focusing on weight loss, have emerged as promising strategies to improve fertility outcomes in this population. This review aims to explore the effectiveness of various lifestyle interventions, encompassing dietary modifications and exercise regimens, in enhancing fertility outcomes among women with obesity and associated conditions such as polycystic ovary syndrome, congenital adrenal hyperplasia, type 2 diabetes mellitus, premenopause, hypothyroidism and eating disorders. Methodology of study search encompass a broad spectrum, ranging from interventions targeting weight management through slow or rapid weight loss to dietary approaches emphasizing whole food groups, specific nutrients, and dietary patterns like low-carbohydrate or ketogenic diets, as well as the Mediterranean diet. By synthesizing existing findings and recommendations, this review contributes to the understanding of lifestyle interventions in addressing infertility, with an emphasis on the population of women of reproductive age with excess weight and known or unknown infertility issues, while promoting their integration into clinical practice to optimize reproductive health and overall well-being., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Gitsi, Livadas and Argyrakopoulou.)

Objective: To study white blood cells count (WBC) in women suffering from PCOS and compare these results with age and BMI-matched healthy women. The specific aim of this study was to assess the possible correlations of WBC with the major components of PCOS, obesity, insulin resistance and hyperandrogenism., Design: Anthropometrical, metabolic and hormonal data were analyzed from 203 women with PCOS (NIH criteria) and 76 age-matched controls., Results: In the total population studied (N=279), WBC was significantly higher (P=0.003) in the PCOS group compared with age-matched healthy women and was positively correlated with BMI (r=0.461, p<0.001), total testosterone (r= 0.210, p<0.001), insulin (r=0.271, p<0.001), triglycerides (r=0.285, p<0.001), HOMA score (r=0.206, p=0.001), FAI (r=0.329, p<0.001) and negatively correlated with SHBG (r=-0.300, p<0.001) and HDL (r=-0.222, p<0.001). Due to the fact that WHR was only available in the group of PCOS women, the role of central adiposity is assessed only in this group. Multiple regression analysis in the PCOS group, including WHR, revealed BMI, SHBG and TGL as the main predicting factors of WBC. Multinomial logistic regression analysis was also conducted and overweight/obesity was the sole independent risk factor for elevated WBC (higher tertile) (OR:0.907 CI:0.85-0.96, p=0.002). After dividing the sample based on BMI in the lean subgroups, WBC did not differ significantly between PCOS and controls, while multiple regression analysis indicated SHBG as the main predicting factor of WBC. Finally, we picked out the group of overweight/obese (BMI ≥25 kg/m2) women with PCOS and conducted another classification based on HOMA score (HOMA-IR≤2: insulin-sensitive women, HOMA-IR>2: insulin-resistant women) in the group of overweight and obese women with PCOS separately. In overweight women with PCOS, WBC, although higher in the group of insulin-resistant, did not differ significantly between the two groups, while in the subcategory of overweight women WBC was significantly (p=0.02) higher in the group of insulin-resistant women (HOMA-IR >2)., Conclusions: Chronic low-grade inflammation and increased white cell count do occur in PCOS. Obesity and insulin resistance are the two leading parameters that act accumulatively in the development of leucocytosis, whereas hyperandrogenism does not seem to affect it.

Background: Polycystic ovary syndrome (PCOS) represents a moving spectrum of hormonal to metabolic abnormalities, as women with the syndrome are aging. Hormonal abnormalities, anovulation, and hyperandrogenic signs were predominant during the early years of PCOS and fade away with the years. Metabolic abnormalities and insulin resistance (IR) remain throughout the PCOS life cycle; however, it is unclear as to how they change, as women with the syndrome are aging., Objective: To evaluate the changes in IR and its associations with clinical, biochemical, hormonal, and ultrasound findings in a large cohort of women with PCOS and controls, as they are aging., Design: A cross-sectional study was carried out to evaluate the diverse impacts of aging on IR., Setting: An outpatient clinic was chosen for the study., Participants: A total of 1345 women with PCOS (Rotterdam criteria) and 302 controls of Caucasian origin and Greek ethnicity comprised the study group., Main Outcome and Measures: The impact of age on IR, as calculated using homeostasis model assessment of IR (HOMA-IR) index, and several PCOS characteristics were evaluated., Results: In PCOS, age (-0.045±0.008) was negatively, and BMI positively (0.18±0.007) associated with HOMA-IR (R(2)=0.36). When data were stratified with regard to the BMI status, a negative association of age with HOMA-IR was found in lean, normal, and overweight patients (r: -0.266, -0.233, -0.192, P<0.001), which was neutralized in obese patients (r: -0.009, P: NS). Free androgen index and BMI were positively associated with HOMA-IR in all age quartiles. When mean HOMA-IR values were plotted according to BMI subgroups at different age quartiles, a significant gradual decrease in HOMA-IR was observed in normal (P<0.001) and overweight (P: 0.004), but not obese, women (P: 0.202) across age quartiles., Conclusions: Aging increases IR in obese but not in lean and overweight women with PCOS. As BMI and androgens are positively associated with HOMA-IR and androgens decline through time, it appears that if women with PCOS do not become obese they may exhibit a better metabolic profile during their reproductive years., (© 2014 European Society of Endocrinology.)

Objective: To investigate liver enzymes in a cohort of women with Polycystic Ovary Syndrome (PCOS) and controls divided according to body mass index (BMI) and their association with features of the syndrome., Design: Eighty-three PCOS women and 64 healthy women were studied. Patients and controls were subdivided into two groups, a lean subgroup (BMI <25kg/m(2)) and an overweight/obese subgroup (BMI >25kg/m(2)). Clinical history, height and weight were obtained and metabolic and hormonal parameters were determined., Results: Serum fasting insulin, fasting glucose, HOMA-IR, triglycerides and total cholesterol were significantly higher (p<0.05) in women with PCOS compared to controls. No significant difference in serum liver enzymes levels between PCOS women and controls was detected. However, serum levels of alanine aminotransferase (ALT) (17.7 vs. 14.1 U/L, p<0.05) and gamma-glutamyl transpeptidase (gammaGT) (17.9 vs. 13.4 U/L, p<0.05) were significantly higher in overweight/obese PCOS women compared with overweight/obese controls. In overweight/obese PCOS patients and controls, ALT levels were positively correlated with free androgen index (FAI) (r=0.25 p<0.05) and total testosterone levels (r=0.33 p<0.01)., Conclusions: The finding of elevated liver enzymes in overweight/obese PCOS women raises the question of screening for non-alcoholic fatty liver disease in this group.

Objective: The aim of our study was to determine the prevalence of impaired glucose tolerance (IGT) and type 2 diabetes (DM2) in obese children and adolescents of Greek origin and compare our data with pertinent literature findings in an attempt to uncover predictive, risk, and preventive factors., Research Methods and Procedures: A total of 117 obese children and adolescents 12.1+/-2.7 years old underwent a 2-hour oral glucose tolerance test (OGTT). Insulin resistance (IR) and beta-cell function were estimated using the homeostasis model assessment (HOMA)-IR and the insulinogenic index, respectively., Results: A total of 17 patients (14.5%) had IGT, and none had DM2. The overall prevalence rates of both IGT and DM2 in our subjects were lower than those reported in a recent multiethnic U.S. study. Nevertheless, the difference between our IGT data and those of the U.S. study was due mostly to the prepubertal subjects (9% vs. 25.4%), whereas no difference was observed in the pubertal population (18% vs. 21%). Fasting glucose, insulin, and HOMA-IR values were not predictive of IGT. The absolute value of insulin at 2 hours of the OGTT combined with the time-integrated glycemia (AUCG) can strongly predict IGT, whereas higher area under the curve for insulin (AUCI) values were found to be protective., Discussion: In ethnic groups less prone to diabetes development, IGT or DM2 in obese subjects is more likely to develop at puberty than at the prepubertal stage. It is advisable that physicians caring for obese adolescents perform an OGTT for early detection of IGT because HOMA-IR values, although higher in IGT subjects and indicative of IR, cannot predict IGT.

Background/Objectives: Resting metabolic rate (RMR) is an important contributor of energy balance and displays a well-documented relationship with sex, age, race and fat-free mass (FFM) in the existing scientific literature. However, the impact of other body composition components such as fat and liver fat on RMR remains unclear. This study aims to investigate the correlation of RMR with body composition parameters in a sample of patients with overweight and obesity. Methods: Retrospective data of patients with overweight or obesity referred for magnetic resonance imaging of liver fat during the period 2018–2023 were utilized for this study. Demographic and anthropometric data were collected, including body composition parameters (body fat, muscle mass) and RMR measured by bioelectrical impedance and indirect calorimetry, respectively. Results: The final sample included 53 patients (66% male), with a mean age of 48 years (±11.2) and a mean body mass index (ΒΜΙ) of 38.5 kg/m2 (32.7, 44.7). Simple correlation models revealed that RMR was separately correlated with gender, age, BMI, muscle mass, and liver fat (all p < 0.05) but not with fat mass. When multiple regression models were employed, only muscle mass retained its statistically significant influence on RMR, while total and hepatic fat did not significantly affect RMR after controlling for other parameters (gender, age, muscle mass). Conclusions: These findings confirm the known correlation between muscle mass and RMR while highlighting the lack of association between total and hepatic fat and RMR in individuals with overweight and obesity. [ABSTRACT FROM AUTHOR]

Background Visceral Adiposity Index ( VAI) is a gender-specific mathematical index estimated with the use of simple anthropometric (body mass index and waist circumference) and biochemical (triglycerides and high density lipoprotein cholesterol) parameters. Recent studies have shown that VAI reflects accurately the degree of visceral adiposity and insulin resistance. However, up to now, VAI has not been evaluated if it correlates with carbohydrate metabolism disorders, as well as with adipokine secretion from the fat mass. Methods In a cohort of 308 out of 414 adult Saudi subjects screened for the study, detailed personal medical history, anthropometrics and metabolic/hormonal profiles were obtained. Additionally, the circulating concentrations of several circulating adipokines, namely adiponectin, leptin, tumour necrosis factor-α ( TNF-α) and resistin, were measured. Results Stepwise multivariate analysis showed that VAI was the sole determinant of adiponectin levels ( R2 = 0·07, beta ± SE: −0·25 ± 0·05), while BMI and female gender predicted leptin levels ( R2 = 0·26, 0·10 ± 0·01 and 0·61 ± 0·15, respectively). Furthermore, the presence of impaired fasting glucose (IFG)/diabetes was predicted only by age and VAI. Conclusions We report for the first time the direct relations of VAI with adipose tissue secretion, as well as with functional glycaemic disorders. Because VAI is estimated easily with data obtained in everyday practice, it could be used as an indirect index of adiponectin levels and the risk of impaired glucose metabolism. [ABSTRACT FROM AUTHOR]