ABSTRACT
STUDY QUESTION: Do antral follicle dynamics change in women with obesity and regular ovulatory cycles after a 6-month hypocaloric dietary intervention? SUMMARY ANSWER: After a 6-month hypocaloric dietary intervention, women with obesity and regular ovulatory cycles displayed evidence of improved antral follicle dynamics defined by the emergence of more dominant follicles, larger ovulatory follicle diameter at selection, and increased luteal progesterone concentrations compared to pre-intervention. WHAT IS KNOWN ALREADY: Precise events in antral folliculogenesis must occur in order for natural and regular monthly ovulation. In healthy women of reproductive age, antral follicles are recruited for growth in a wave-like fashion, wherein a subset of follicles are selected for preferential growth, and typically, one dominant follicle culminates in ovulation. Women with obesity and regular ovulatory cycles display evidence of suppressed antral follicle development, as evidenced by fewer recruitment events, fewer selectable and dominant follicles, smaller diameter of the ovulatory follicle at selection, and a higher prevalence of luteal phase defects. While improvements in gonadotropin and ovarian steroid hormone concentrations after weight loss have been documented in eumenorrheic women with obesity, the precise impact of weight loss on antral follicle dynamics has not been evaluated. STUDY DESIGN, SIZE, DURATION: A pre-post pilot study of 12 women who participated in a 6-month hypocaloric dietary intervention. PARTICIPANTS/MATERIALS, SETTING, METHODS: Twelve women with obesity (total body fat ≥35%) underwent transvaginal ultrasonography and venipuncture every-other-day for one inter-ovulatory interval (IOI) both before (baseline) and during the final month (Month 7) of a six-month hypocaloric dietary intervention. Participants were aged 24-34 years and had a self-reported history of regular menstrual cycles (25-35 days). Follicle number and diameter (≥2 mm) were quantified at each study visit, and individual growth profiles for all follicles ≥7 mm were determined. Blood samples were assayed for reproductive hormones. Follicle dynamics and reproductive hormone concentrations were compared pre- and post-intervention. Further, post-intervention follicle and endocrine dynamics (Month 7 IOI) were compared to an age-matched reference cohort of lean women with regular ovulatory cycles (total body fat <35%, N = 21). MAIN RESULTS AND THE ROLE OF CHANCE: Participants lost an average of 11% of their original body weight with the hypocaloric dietary intervention. More dominant follicles were detected (≥10 mm) at Month 7 compared to baseline (0. 3 ± 0.4 versus 0.4 ± 0.5 follicles, P = 0.001), and ovulatory follicles were selected at larger diameters post-intervention (7.3 ± 2.0 versus 10.9 ± 2.6 mm, P = 0.007). Luteal progesterone concentrations were increased at Month 7 compared to baseline (5.3 ± 3.65 versus 6.3 ± 4.74 ng/ml, P < 0.0001). However, risk for luteal phase dysfunction as judged by the prevalence of a luteal phase length <10 days, integrated luteal progesterone levels <80 ng/ml or peak progesterone <10 ng/ml did not differ pre- versus post-intervention (all, P > 0.05). In Month 7, follicle dynamics and endocrine profiles were similar to the reference cohort across all measures. LIMITATIONS, REASONS FOR CAUTION: This study does not inform on the earliest stages of ovarian follicle development and is limited to providing knowledge on the later stages of antral follicle development. This study cannot fully address causation between weight loss and sustained improvements in antral follicle dynamics. The data cannot be extrapolated to comment on potential improvements in fertility and fecundity with weight loss. The small group sizes limit statistical power. WIDER IMPLICATIONS OF THE FINDINGS: The increasing prevalence of obesity necessitates an understanding of the mechanisms that underlie potential improvements in reproductive health outcomes with weight loss. Women with obesity and regular ovulatory cycles who undertook a 6-month hypocaloric dietary intervention demonstrated improvements consistent with benefits of lifestyle intervention on reproductive health even in those without overt signs of reproductive dysfunction. Potential improvements in the cellular makeup of follicles, which may underlie the restoration of normal follicle development and amelioration of subfertility, require further investigation. STUDY FUNDING/COMPETING INTEREST(S): Cornell University, President's Council of Cornell Women, United States Department of Agriculture (Grant No. 8106), and National Institutes of Health (R01-HD0937848). B.Y.J. and H.V.B. were supported by doctoral training awards from the National Institutes of Health (T32-DK007158) and Canadian Institutes of Health Research (Grant No. 146182), respectively. The authors have no competing interests. TRIAL REGISTRATION NUMBER: NCT01927432 and NCT01785719.
Subject(s)
Ovarian Follicle , Progesterone , Female , Humans , Pilot Projects , Canada , Ovarian Follicle/diagnostic imaging , Obesity/complications , Weight Loss , Follicle Stimulating HormoneABSTRACT
STUDY QUESTION: Are ovarian antral follicle dynamics altered in women with obesity and regular ovulatory cycles? SUMMARY ANSWER: Eumenorrheic women with obesity display evidence of suppressed antral follicle dynamics as judged by fewer recruitment events, selectable follicles, and anovulatory dominant follicles, as well as lower anti-Müllerian hormone (AMH) concentrations and an increased prevalence of luteal phase defects. WHAT IS KNOWN ALREADY: Ovarian antral follicle development is a dynamic process involving distinct follicular and endocrine events that are critical for the occurrence of regular monthly ovulations. Follicle dynamics have not been prospectively evaluated in eumenorrheic women with obesity despite the known impact of obesity on gonadotropin production, ovarian steroid hormone concentrations, and fecundity. STUDY DESIGN, SIZE, DURATION: This was a prospective, longitudinal study of 42 women conducted over one inter-ovulatory interval (IOI). PARTICIPANTS/MATERIALS, SETTING, METHODS: A group of 21 women with obesity (total percent body fat ≥35%) and a group of 21 women without obesity (total percent body fat <35%) underwent transvaginal ultrasonography and venipuncture every-other-day for one IOI at an academic clinical research unit. Participants were aged 19-38 years and had a history of self-reported regular menstrual cycles (21-35 days). Follicle number and diameter (≥2 mm) were quantified at each visit. Individual growth profiles for all follicles that grew to ≥7 mm were assessed. Blood samples were assayed for gonadotropins, AMH, estradiol, and progesterone. MAIN RESULTS AND THE ROLE OF CHANCE: Women with obesity exhibited fewer recruitment events (mean ± SD, 1 ± 1 vs 2 ± 1 events; P = 0.010) and fewer selectable follicles (4 ± 3 vs 8 ± 6 follicles per participant; P = 0.022) during an IOI compared to women without obesity. AMH levels were lower in women with obesity (4.40 ± 3.01 vs 5.94 ± 2.49 ng/ml; P = 0.023), while gonadotropin profiles were similar between groups, across the IOI. Of the individual follicles tracked, fewer follicles progressed to >10 mm in the cohort with obesity (30 vs 40 follicles; P = 0.04) and fewer anovulatory follicles achieved dominance (9 vs 18 follicles; P = 0.041). Ovulatory follicles were selected at smaller diameters in women with compared to those without obesity (7.5 ± 1.6 vs 9.5 ± 1.9 mm; P = 0.001). Luteal phase defects were also more common in women with compared to those without obesity, as defined by either integrated (76 vs 29%, P = 0.002) or maximum (71 vs 24%, P = 0.002) luteal progesterone. LIMITATIONS, REASONS FOR CAUTION: This study was limited to an assessment of antral follicle dynamics and cannot inform on earlier stages of folliculogenesis. This study was observational and cannot address causation between obesity and altered antral follicle dynamics. Lastly, the data cannot be extrapolated to account for reduced fecundity and fertility in obesity. WIDER IMPLICATIONS OF THE FINDINGS: The increasing global prevalence of obesity necessitates an understanding of the mechanisms that underlie obesity-related adverse reproductive health outcomes. Eumenorrheic women with obesity demonstrate altered ovarian antral follicle and endocrine dynamics compared to their counterparts without obesity. The degree to which abnormal granulosa cell assembly and/or activity underlie the suboptimal luteinization and subfertility requires further investigation. STUDY FUNDING/COMPETING INTEREST(S): Funding was provided by Cornell University, President's Council of Cornell Women, United States Department of Agriculture (grant no. 8106), and National Institutes of Health (R01-HD0937848). B.Y.J. and H.V.B. were supported by doctoral training awards from the National Institutes of Health (T32-DK007158) and Canadian Institutes of Health Research (grant no. 146182), respectively. TRIAL REGISTRATION NUMBER: NCT01927432, NCT01785719.
Subject(s)
Anovulation , Obesity , Progesterone , Female , Humans , Anti-Mullerian Hormone , Canada , Estradiol , Gonadotropins , Longitudinal Studies , Prospective Studies , MenstruationABSTRACT
The ovaries are the female gonads that are crucial for reproduction, steroid production, and overall health. Historically, the ovary was broadly divided into regions defined as the cortex, medulla, and hilum. This current nomenclature lacks specificity and fails to consider the significant anatomic variations in the ovary. Recent technological advances in imaging modalities and high-resolution omic analyses have brought about the need for revision of the existing definitions, which will facilitate the integration of generated data and enable the characterization of organ subanatomy and function at the cellular level. The creation of these high-resolution multimodal maps of the ovary will enhance collaboration and communication among disciplines and between clinicians and researchers. Beginning in March 2021, the Pediatric and Adolescent Gynecology Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development invited subject-matter experts to participate in a series of workshops and meetings to standardize ovarian nomenclature and define the organ's features. The goal was to develop a spatially defined and semantically consistent terminology of the ovary to support collaborative, team science-based endeavors aimed at generating reference atlases of the human ovary. The group recommended a standardized, 3-dimensional description of the ovary and an ontological approach to the subanatomy of the ovary and definition of follicles. This new greater precision in nomenclature and mapping will better reflect the ovary's heterogeneous composition and function, support the standardization of tissue collection, facilitate functional analyses, and enable clinical and research collaborations. The conceptualization process and outcomes of the effort, which spanned the better part of 2021 and early 2022, are introduced in this article. The institute and the workshop participants encourage researchers and clinicians to adopt the new systems in their everyday work to advance the overarching goal of improving human reproductive health.
Subject(s)
Gynecology , Ovary , Adolescent , Humans , Female , Child , Ovary/diagnostic imaging , PelvisABSTRACT
Polycystic ovary syndrome (PCOS) is the most common endocrinopathy affecting 8%-13% of reproductive-aged women. The aetiology of the syndrome is complex, with genetic susceptibility, androgen exposure in early life and adiposity related dysfunction leading to perturbance in hypothalamic-ovarian function. PCOS clinical features are heterogeneous, with manifestations arising even in early adolescence, developing into multisystem reproductive, metabolic and psychological manifestations in adulthood. In this review, we will discuss challenges in the diagnosis of PCOS and understanding of the natural history of PCOS.
Subject(s)
Polycystic Ovary Syndrome , Adiposity , Adolescent , Adult , Androgens , Female , Genetic Predisposition to Disease , Humans , Obesity/complications , Polycystic Ovary Syndrome/metabolismABSTRACT
OBJECTIVE: We conducted a systematic review and meta-analysis to comprehensively compare cardiometabolic and reproductive health risk between Hispanic and White women with polycystic ovary syndrome in the United States in response to the call by the international guideline for polycystic ovary syndrome to delineate health disparities. DATA SOURCES: Databases of MEDLINE, Web of Science, and Scopus were initially searched through October 25, 2020, and confirmed on February 1, 2021. STUDY ELIGIBILITY CRITERIA: Observational studies comparing glucoregulatory, lipid profile, anthropometric, blood pressure, androgen, ovarian morphology, oligoanovulation, and infertility status between Hispanic and White women with polycystic ovary syndrome were included. The primary outcome was metabolic syndrome risk. Furthermore, major cardiovascular events (stroke, coronary heart disease, and heart failure) and mortality rate (cardiovascular death and total mortality) data were evaluated. Studies on adolescents (<2 years after menarche), pregnant, or menopausal-aged women (>50 years) were excluded. METHODS: Data were pooled by random-effects models and expressed as mean differences and 95% confidence intervals. Risk of bias was assessed by the Newcastle-Ottawa Scale. RESULTS: A total of 11 studies (n=2267; 589 Hispanic and 1678 White women) were eligible. All studies, including both White and Hispanic women, had high-quality assessment (Newcastle-Ottawa Scale score of ≥8). Hispanic women exhibited comparable metabolic syndrome prevalence (7% [95% confidence interval, -1 to 14]; P=.06; I2=0%); however, Hispanic women exhibited higher modified Ferriman-Gallwey score (0.60 [95% confidence interval, -0.01 to 1.21]; P=.05; I2=0%), fasting insulin (5.48 µIU/mL [95% confidence interval, 3.11-7.85]; P≤.01; I2=40.0%), and homeostatic model assessment of insulin resistance (1.20 [95% confidence interval, 0.50-1.89]; P≤.01; I2=43.0%) than White women. The 2 groups had comparable glucose, lipid profile, waist circumference, blood pressure, and androgen status (all P≥.08). Findings about group differences in certain reproductive outcomes (ie, ovarian dysmorphology and infertility) were contradictory and described only narratively as inclusion in the meta-analyses was not possible. No study reported on cardiovascular events or mortality. CONCLUSION: Hispanic women with polycystic ovary syndrome exhibited greater impairments in glucoregulatory status than White women. Disparities in reproductive risks could not be concluded. The degree to which glucoregulatory aberrations translate into patient-pressing diseases (diabetes mellitus and infertility) remains a major roadblock given the paucity of available evidence. Our observations have supported the consideration of these disparities in the diagnostic, monitoring, and management practices for polycystic ovary syndrome and reinforced the need to elucidate mechanisms that account for the observed disparities to foster equity in polycystic ovary syndrome care.
Subject(s)
Metabolic Syndrome/epidemiology , Polycystic Ovary Syndrome/epidemiology , Blood Pressure/physiology , Female , Hispanic or Latino , Humans , Metabolic Syndrome/physiopathology , Polycystic Ovary Syndrome/physiopathology , Prevalence , Risk , United States , White PeopleABSTRACT
OBJECTIVES: Increased ovarian stromal area (SA), stromal-to-ovarian area ratio (S/A), and echogenicity (SEcho) on ultrasonography have been proposed as diagnostic markers for polycystic ovary syndrome. Although several methods to evaluate the stroma exist, their reproducibility has not been defined which limits clinical utility. This study aimed to determine the interrater reliability and agreement of methods to evaluate SA, S/A, and SEcho. METHODS: Five raters tested 3 methods to obtain SA and S/A, and one to obtain SEcho on 30 ovarian cineloops under two imaging conditions, simulating real-time (free-choice) or offline (fixed-frame) imaging. For SA, Method 1 subtracted follicular area from the ovarian area, Method 2 involved outlining the periphery of the stroma, and Method 3 represented a hybrid approach in which central follicles were subtracted from the outlined stroma. SEcho was scored on a subjective 3-tiered scale. Intraclass correlation coefficients (ICCs) and the coefficient of variation were determined for SA and S/A, and Fleiss' kappa agreement statistics (κ) were determined for SEcho. RESULTS: Interrater reliability of SA was superior using Method 1 (ICC = 0.558 and ICC = 0.705) versus Method 2 (ICC = 0.522 and ICC = 0.230) or Method 3 (ICC = 0.429 and ICC = 0.305) under free-choice and fixed-frame imaging conditions, respectively. Interrater reliability of S/A was also moderate to poor across methods. SEcho was also not reliably assessed across raters (κ = <0.500). CONCLUSIONS: Ultrasonographic assessments of the ovarian stroma were associated with moderate to poor reproducibility. Indirect estimates of the ovarian stroma (Method 1) could be optimized to yield a reproducible approach, clarifying the clinical relevance of the stroma.
Subject(s)
Ovary , Female , Humans , Observer Variation , Ovary/diagnostic imaging , Reproducibility of Results , UltrasonographyABSTRACT
OBJECTIVE: We conducted a systematic review and meta-analysis to summarize and quantitatively pool evidence on cardiometabolic health disparities between Black and White women with polycystic ovary syndrome in the United States in response to the call for further delineation of these disparities in the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. DATA SOURCES: Databases of MEDLINE, Web of Science, and Scopus were searched initially through March 05, 2020, and confirmed on September 11, 2020. STUDY ELIGIBILITY CRITERIA: Observational studies documenting cardiometabolic risk profile (glucoregulatory, lipid profile, anthropometric, and blood pressure status) in Black and White women with polycystic ovary syndrome were included. Studies on children (<17 years old) and pregnant or menopausal-aged women (>50 years) were excluded. The primary outcome was fasting glucose. Furthermore, data on major cardiovascular events (stroke, coronary heart disease, heart failure) and mortality rate (cardiovascular death, total mortality) were evaluated. METHODS: Data were pooled by random-effects models and expressed as mean differences and 95% confidence intervals. Studies were weighted based on the inverse of the variance. Heterogeneity was evaluated by Cochran Q and I2 statistics. Study methodologic quality was assessed by the Newcastle-Ottawa scale. RESULTS: A total of 11 studies (N=2851 [652 Black and 2199 White]) evaluated cardiometabolic risk profile and all had high quality (Newcastle-Ottawa scale score of ≥8). No studies reported on cardiovascular events and mortality rate. Black women had comparable fasting glucose (-0.61 [-1.69 to 2.92] mg/dL; I2=62.5%), yet exhibited increased fasting insulin (6.76 [4.97-8.56] µIU/mL; I2=59.0%); homeostatic model assessment of insulin resistance (1.47 [0.86-2.08]; I2=83.2%); systolic blood pressure (3.32 [0.34-6.30] mm Hg; I2=52.0%); and decreased triglyceride (-32.56 [-54.69 to -10.42] mg/dL; I2=68.0%) compared with White women (all, P≤.03). Groups exhibited comparable total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and diastolic blood pressure (all, P≥.06). CONCLUSIONS: Black women with polycystic ovary syndrome have a greater tendency for an adverse cardiometabolic risk profile (increased insulin, homeostatic model assessment of insulin resistance, and systolic blood pressure) despite lower triglycerides than White women. Our observations support the consideration of these disparities for diagnostic, monitoring, and management practices in Black women and for future guideline recommendations. Given the heterogeneity among studies, future research should address the relative contributions of biologic, environmental, socioeconomic, and healthcare factors to the observed disparities. Furthermore, longitudinal research is required to address patient-pressing complications, including cardiovascular events and mortality rate in Black women with polycystic ovary syndrome as a high-risk yet understudied population.
Subject(s)
Black or African American/statistics & numerical data , Cardiometabolic Risk Factors , Cardiovascular Diseases/epidemiology , Health Status Disparities , Polycystic Ovary Syndrome/epidemiology , White People/statistics & numerical data , Blood Glucose/metabolism , Blood Pressure , Cardiovascular Diseases/mortality , Fasting , Female , Humans , Insulin/blood , Insulin Resistance , Polycystic Ovary Syndrome/physiopathology , Triglycerides/blood , United States/epidemiologyABSTRACT
BACKGROUND: Current evidence supports the adoption of healthy diet and physical activity (PA) behaviors in patients with polycystic ovary syndrome (PCOS), given the positive effects of those behaviors on physical well-being. An improved understanding of the associations between diet and PA with PCOS is needed to ascertain whether tailored dietary and PA recommendations are needed for this population. Thus, we investigated the associations of diet and PA with PCOS and its isolated features. METHODS: Cross-sectional study. Of the 748 women who were included in this study from the Coronary Artery Risk Development in Young Adults (CARDIA) Women's Study, 40 were classified as having PCOS, 104 had isolated hyperandrogenism (HA) and 75 had isolated oligomenorrhea (OA). Dietary intake was measured using the CARDIA diet history questionnaire and diet quality was scored using the Alternative Healthy Eating Index 2010; a higher score indicated a better quality diet. Self-reported PA was measured using a validated interviewer-administered questionnaire. Polytomous logistic regression analyses examined the associations between diet and PA with PCOS, HA, and OA status (outcomes), adjusting for age, race, total energy intake, education, and/or body mass index. The threshold for statistical significance was set at p < 0.05. RESULTS: Mean age of the participants was 25.4 years (SD 3.6) and 46.8% of participants were Black women. There was little to no association of total energy intake, nutrients, diet quality, and PA with PCOS, HA or OA status. CONCLUSION: Energy intake, nutrient composition, diet quality, and PA were not associated with PCOS, supporting recent PCOS guidelines of using national recommendations for the general population to encourage health-promoting behaviors among women with PCOS. However, longitudinal studies evaluating changes in diet and physical activity in relation to the development and/or the progression of PCOS are needed to establish a causal association.
Subject(s)
Polycystic Ovary Syndrome , Adult , Coronary Vessels , Cross-Sectional Studies , Diet , Exercise , Female , Humans , Polycystic Ovary Syndrome/epidemiology , Young AdultABSTRACT
BACKGROUND: Polycystic ovary syndrome (PCOS) is a common condition in women of reproductive age. Mosaic Turner syndrome (TS) is a genetic disorder with significant phenotypic variability. The occurrence of PCOS in women with mosaic TS has been infrequently studied. CASE: A 30-year-old nulligravid woman presented with oligomenorrhea, hyperandrogenism, infertility, and ultrasound polycystic ovary morphology. She was diagnosed with PCOS and conceived following ovulation induction. After 2 inconclusive non-invasive prenatal screening results, she was referred to medical genetics. A maternal karyotype resulted in a diagnosis of 45,X/46,XX mosaic TS. She delivered a healthy 46,XY infant at term. CONCLUSION: PCOS can affect women with mosaic TS. Further studies are needed to better characterize the reproductive profile of women with mosaic TS, including the presentation of concurrent PCOS.
Subject(s)
Infertility, Female/therapy , Polycystic Ovary Syndrome/diagnosis , Turner Syndrome/diagnosis , Adult , Female , Humans , Hyperandrogenism/diagnosis , Incidental Findings , Oligomenorrhea/diagnosis , Ovulation Induction , Polycystic Ovary Syndrome/complications , Polycystic Ovary Syndrome/genetics , Pregnancy , Turner Syndrome/complications , Turner Syndrome/geneticsABSTRACT
OBJECTIVE: This study compared the prevalence of metabolic syndrome (MetS) and characterized type 2 diabetes (DM2) and cardiovascular disease (CVD) risk profiles between Canadian women with polycystic ovary syndrome (PCOS) and healthy women recruited from the general population. Furthermore, within the PCOS cohort, the study contrasted the CVD and DM2 risk profiles of women with or without MetS. METHODS: Measures of MetS (International Diabetes Federation; National Heart, Lung, and Blood Institute; and the American Heart Association definition), DM2 (Diabetes Canada Clinical Guidelines), and CVD risk factors (Androgen Excess and Polycystic Ovary Syndrome Society statement) were evaluated for 237 women with PCOS (Androgen Excess and PCOS Society definitions) and 42 controls (aged 18-36) in a prospective observational study (Canadian Task Force Classification II-2). RESULTS: The prevalence of MetS was 29.5% in the PCOS group, which was approximately six-fold higher than age-matched controls (P < 0.001). Women with PCOS exhibited higher glucose abnormality, acanthosis nigricans, total cholesterol to high-density lipoprotein cholesterol ratio (TC/HDL-C), and lower sex hormone-binding globulin concentrations when compared with controls after accounting for differences in the BMI (P < 0.01). Further, women with PCOS and MetS exhibited exacerbated insulin and glucose responses to a 75-g oral glucose tolerance test and greater acanthosis nigricans, hirsutism, TC/HDL-C, TC, and sex hormone-binding globulin concentrations compared with their BMI-adjusted counterparts without MetS (P < 0.05). CONCLUSION: Canadian reproductive-age women with PCOS have a high prevalence of MetS and exhibit adverse cardiometabolic risk factors that warrant early screening and regular monitoring across their reproductive lifespan.
Subject(s)
Cardiovascular Diseases/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Glucose Intolerance/epidemiology , Metabolic Syndrome/epidemiology , Polycystic Ovary Syndrome/epidemiology , Acanthosis Nigricans/epidemiology , Acne Vulgaris/epidemiology , Adolescent , Adult , Blood Glucose/metabolism , Blood Pressure , Body Mass Index , Canada/epidemiology , Case-Control Studies , Cholesterol/blood , Cholesterol, HDL/blood , Cholesterol, LDL , Female , Glucose Intolerance/metabolism , Glucose Tolerance Test , Hirsutism/epidemiology , Humans , Insulin Resistance , Metabolic Syndrome/metabolism , Polycystic Ovary Syndrome/metabolism , Prevalence , Prospective Studies , Risk Assessment , Sex Hormone-Binding Globulin/metabolism , Young AdultABSTRACT
STUDY QUESTION: Do health-related knowledge, beliefs and self-efficacy differ between women with and without polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: Women with PCOS felt at greater risk for adverse health outcomes, yet believed a healthy lifestyle was less beneficial to prevent weight gain relative to a comparison group. WHAT IS KNOWN ALREADY: Diet and physical activity are often used to treat PCOS, but there are high attrition rates and less engagement in self-help methods. It is unclear whether there are unique psychosocial considerations in PCOS that should be incorporated into these interventions. STUDY DESIGN, SIZE, DURATION: This cross-sectional study enrolled 475 women with (N = 255) and without PCOS (N = 220). PARTICIPANTS/MATERIALS, SETTING, METHODS: Female participants were recruited through paper and web-based advertisements across the US (mean age: 28.1 ± 5.4 years). Participants were either diagnosed with PCOS by a healthcare professional (PCOS group) or had self-reported regular menstrual cycles (comparison group). A reliable and valid online instrument about health-related knowledge, beliefs and self-efficacy was administered to these participants. MAIN RESULTS AND THE ROLE OF CHANCE: Most women with PCOS had a basic understanding of nutrition (96%), but had misconceptions about diagnostic criteria for PCOS (≥86%). PCOS was associated with greater perceived susceptibility for disease and weight gain and poorer perceived control over these health outcomes (all P < 0.05), in relation to the comparison group. Women with PCOS also perceived fewer benefits of healthy behaviors on weight gain (P = 0.03) with less than half of the PCOS group attempting to follow government diet recommendations (47%). There were no differences in the self-efficacy of dietary behaviors between groups. LIMITATIONS, REASONS FOR CAUTION: It is likely that participant self-selection occurred due to the nature of recruitment in this study and results may have limited generalizability since most participants identified as Caucasian. Additionally, it is unclear whether some results may be clinically meaningful due to small effect sizes. WIDER IMPLICATIONS OF THE FINDINGS: These findings support that behavioral interventions should incorporate the unique psychosocial considerations associated with PCOS to encourage patient participation in lifestyle interventions. STUDY FUNDING/COMPETING INTEREST(S): This manuscript was partially supported by Cornell University Human Ecology Alumni Association and College of Agriculture and Life Sciences Alumni Association. The authors have no competing interests. TRIAL REGISTRATION NUMBER: NCT01859663.
Subject(s)
Health Knowledge, Attitudes, Practice , Polycystic Ovary Syndrome/psychology , Self Efficacy , Adolescent , Adult , Cross-Sectional Studies , Female , Healthy Lifestyle , Humans , Polycystic Ovary Syndrome/complications , Polycystic Ovary Syndrome/therapy , Psychology , Surveys and Questionnaires , Weight Gain , Young AdultABSTRACT
Polycystic ovary syndrome (PCOS) is a common cause of ovulatory dysfunction impacting women of reproductive age. Obesity and insulin resistance are thought to potentiate disruptions in antral follicle development that result in chronic anovulation, and as such, have become important therapeutic targets of dietary interventions aimed at weight loss. Caloric restriction has been shown to promote sporadic ovulation in obese women with PCOS, but improvements have occurred across a wide range of patients and little has been garnered about the factors that distinguish responders from non-responders. Further, few studies have evaluated the likelihood for modest weight loss to restore normal ovulatory cyclicity in PCOS. Consensus regarding the impact of dietary intervention on ovulation has been limited by variability in the measures used to characterize and report ovulatory status across studies. In response, this review provides an assessment of the evidence surrounding the effectiveness of hypocaloric dietary intervention to normalize ovulatory function in PCOS. The impact of physiological versus methodological factors on the evaluation of ovulatory status is discussed and recommendations to strengthen future studies in this area are provided. Ultimately, further research is needed to understand the optimal dietary or lifestyle approaches that promote ovulation and sustained improvements in reproductive function in PCOS.
ABSTRACT
OBJECTIVE: The objective was to establish whether aspects of ovarian morphology correlate with reproductive and metabolic features during the first postmenarcheal year using data from the Ovarian Morphology in Girls (OMG!) cohort study. The feasibility of transabdominal ultrasonography to assess ovarian features was also determined. METHODS: Healthy adolescent females enrolled in a prospective cohort study. Study visits occurred at 6-10, 11-13, 17-19, and 23-25 months postmenarche and entailed a physical exam, transabdominal ultrasound, and fasting blood draw. Participants maintained menstrual diaries throughout the study. The present analysis reflects participants who completed the study visit at 6-10 months postmenarche. Associations between ovarian morphology or average cycle length with reproductive and metabolic features were assessed by Spearman correlations and linear regression. RESULTS: Forty participants enrolled in the OMG! STUDY: Thirty-one participants initiated study procedures at 6-10 months postmenarche, and data were available for analysis for 29 participants. Image quality was judged as partially visible or excellent in 90% of the left and 78% of the right ovaries assessed, with all images collected having sufficient image quality to provide measurements of at least 1 ovarian marker. The follicle number per ovary and ovarian volume were positively associated with anti-Müllerian hormone levels and negatively associated with fasting insulin. The average cycle length was only associated negatively with triglycerides. CONCLUSION: Transabdominal ultrasonography in the early postmenarcheal period provides sufficient resolution to enable estimations of antral follicle count and ovarian size. Ovarian features in early gynecological life may correspond with measures of reproductive and metabolic function.
Subject(s)
Ovary , Ultrasonography , Humans , Female , Ovary/diagnostic imaging , Adolescent , Prospective Studies , Longitudinal Studies , Pilot Projects , Anti-Mullerian Hormone/blood , Biomarkers/blood , Ovarian Follicle/diagnostic imaging , Insulin/blood , Cohort Studies , ChildABSTRACT
BACKGROUND: Polycystic ovary morphology (PCOM) on ultrasonography is considered as a cardinal feature of polycystic ovarian syndrome (PCOS). Its relevance as a diagnostic criterion for PCOS was reaffirmed in the most recent International Evidence-Based Guideline for the Assessment and Management of PCOS. However, there remains a lack of clarity regarding the best practices and specific ultrasonographic markers to define PCOM. OBJECTIVE AND RATIONALE: The aim of this systematic review and diagnostic meta-analysis was to assess the diagnostic accuracy of various ultrasonographic features of ovarian morphology in the diagnosis of PCOS. SEARCH METHODS: Relevant studies published from 1 January 1990 to 12 June 2023 were identified by a systematic search in PubMed, Web of Science, Scopus, CINAHL, and CENTRAL. Studies that generated diagnostic accuracy measures (e.g. proposed thresholds, sensitivity, specificity) for PCOS using the following ultrasonographic markers met criteria for inclusion: follicle number per ovary (FNPO) or per single cross-section (FNPS), ovarian volume (OV), and stromal features. Studies on pregnant or post-menopausal women were excluded. Risk of bias and applicability assessment for diagnostic test accuracy studies were determined using the QUADAS-2 and QUADAS-C tool for a single index test or between multiple index tests, respectively. Diagnostic meta-analysis was conducted using a bivariate model of pooled sensitivity and specificity, and visualized using forest plots and summary receiver-operating characteristic (SROC) curves. OUTCOMES: From a total of 2197 records initially identified, 31 studies were included. Data from five and two studies were excluded from the meta-analysis due to duplicate study populations or limited data for the index test, leaving 24 studies. Pooled results of 20 adult studies consisted of 3883 control participants and 3859 individuals with PCOS. FNPO was the most accurate diagnostic marker (sensitivity: 84%, CI: 81-87%; specificity: 91%, CI: 86-94%; AUC: 0.905) in adult women. OV and FNPS had similar pooled sensitivities (OV: 81%, CI: 76-86%; FNPS: 81%, CI: 70-89%) but inferior pooled specificities (OV: 81%, CI: 75-86%; FNPS: 83%, CI: 75-88%) and AUCs (OV: 0.856; FNPS: 0.870) compared to FNPO. Pooled results from four adolescent studies consisting of 210 control participants and 268 girls with PCOS suggested that OV may be a robust ultrasonographic marker for PCOS diagnosis albeit the current evidence remains limited. The majority of the studies had high risk of bias for the patient selection (e.g. lack of randomized/consecutive patient selection) and index test (e.g. lack of pre-proposed thresholds for comparison) domains across all ultrasonographic markers. As such, diagnostic meta-analysis was unable to determine the most accurate cutoff for ultrasonographic markers to diagnose PCOS. Subgroup analysis suggested that stratification based on previously proposed diagnostic thresholds, age, BMI, or technology did not account for the heterogeneity in diagnostic accuracy observed across the studies. Studies that diagnosed PCOS using the Rotterdam criteria had improved sensitivity for FNPO. Studies from North America had lower diagnostic accuracy when compared to Asian studies (FNPO: sensitivity) and European studies (OV: specificity, diagnostic odds ratio and positive likelihood ratio). Geographic differences in diagnostic accuracy may potentially be due to differences in age, BMI, and diagnostic criteria of the PCOS group across regions. WIDER IMPLICATIONS: This diagnostic meta-analysis supports the use of FNPO as the gold standard in the ultrasonographic diagnosis of PCOS in adult women. OV and FNPS provide alternatives if total antral follicle counts cannot be accurately obtained. Our findings support the potential for ultrasonographic evidence of PCOM in adolescents as more data becomes available. Subgroup analysis suggests the need to investigate any relative contributions of geographical differences on PCOS phenotypes. These findings may provide the basis for the development of strategies and best practices toward a standardized definition of PCOM and a more accurate ultrasonographic evaluation of PCOS.
Subject(s)
Polycystic Ovary Syndrome , Adult , Adolescent , Female , Humans , Polycystic Ovary Syndrome/diagnostic imaging , Ovarian Follicle , Sensitivity and Specificity , UltrasonographyABSTRACT
OBJECTIVE: To study the value of current definitions for follicle number per ovary and ovarian volume in the diagnosis of polycystic ovary syndrome (PCOS). DESIGN: Cross-sectional study. SUBJECTS: Women diagnosed with PCOS after standardized screening were eligible for inclusion in the PCOS group. Women without PCOS who underwent the same screening, had regular menstrual cycles, normal hormonal values, and no other endocrine pathology were eligible for inclusion. EXPOSURE: -MAIN OUTCOME MEASURES: Follicle number per ovary and ovarian volume in women with PCOS, stratified by age. Linear regression models to investigate the influence of BMI on follicle number per ovary and ovarian volume. Differences of follicle number per ovary and ovarian volume between the PCOS phenotypes and the additional value of ovarian volume compared to follicle number per ovary. RESULTS: A total of 2492 women (16 - 50 years) with PCOS and 152 women without PCOS were included. Most women with PCOS up to age 35 exhibit a follicle number per ovary ≥ 20 (87.8 - 100%) (using an ultrasound transducer ≥ 8 MHz) or ≥ 12 (95.1 - 98.6%) (using a transducer < 8 MHz), followed by a decline in follicle number per ovary above the age of 35. Median ovarian volume was below the 10 mL cut-off in every age group, for both ultrasound transducers. Follicle number per ovary and ovarian volume was higher in women with PCOS compared to women without PCOS in every age category. In our cohort, 13/2297 women with PCOS (0.6%) would not have received the diagnosis if ovarian volume was not considered as a marker for polycystic ovarian morphology. For both ultrasound transducers, women with phenotype A (ovulatory dysfunction + hyperandrogenism + polycystic ovarian morphology) exhibited the highest follicle number per ovary and ovarian volume, followed by phenotype D (ovulatory dysfunction + polycystic ovarian morphology), then phenotype C (hyperandrogenism + polycystic ovarian morphology), and then phenotype B (ovulatory dysfunction + hyperandrogenism) (all p-values < 0.001 after adjusting for age). No clinically significant correlation between BMI and follicle number per ovary or ovarian volume was observed. CONCLUSION: Criteria to define follicle number per ovary should be established per age category, as follicle number per ovary decreases with age. Ovarian volume shows a less clear decline with age and has a lower discriminative power, and therefore could be excluded from the diagnostic criteria. follicle number per ovary does not need to be stratified by BMI.
ABSTRACT
Food and nutrition-related factors, including foods and nutrients consumed, dietary patterns, use of dietary supplements, adiposity, and exposure to food-related environmental contaminants, have the potential to impact semen quality and male and female fertility; obstetric, fetal, and birth outcomes; and the health of future generations, but gaps in evidence remain. On 9 November 2022, Tufts University's Friedman School of Nutrition Science and Policy and the school's Food and Nutrition Innovation Institute hosted a 1-d meeting to explore the evidence and evidence gaps regarding the relationships between food, nutrition, and fertility. Topics addressed included male fertility, female fertility and gestation, and intergenerational effects. This meeting report summarizes the presentations and deliberations from the meeting. Regarding male fertility, a positive association exists with a healthy dietary pattern, with high-quality evidence for semen quality and lower quality evidence for clinical outcomes. Folic acid and zinc supplementation have been found to not impact male fertility. In females, body weight status and other nutrition-related factors are linked to nearly half of all ovulation disorders, a leading cause of female infertility. Females with obesity have worse fertility treatment, pregnancy-related, and birth outcomes. Environmental contaminants found in food, water, or its packaging, including lead, perfluorinated alkyl substances, phthalates, and phenols, adversely impact female reproductive outcomes. Epigenetic research has found that maternal and paternal dietary-related factors can impact outcomes for future generations. Priority evidence gaps identified by meeting participants relate to the effects of nutrition and dietary patterns on fertility, gaps in communication regarding fertility optimization through changes in nutritional and environmental exposures, and interventions impacting germ cell mechanisms through dietary effects. Participants developed research proposals to address the priority evidence gaps. The workshop findings serve as a foundation for future prioritization of scientific research to address evidence gaps related to food, nutrition, and fertility.
Subject(s)
Research Design , Semen Analysis , Pregnancy , Male , Humans , Female , Soil , Fertility , Dietary SupplementsABSTRACT
STUDY QUESTION: Do the ultrasonographic criteria for polycystic ovaries supported by the 2003 Rotterdam consensus adequately discriminate between the normal and polycystic ovary syndrome (PCOS) condition in light of recent advancements in imaging technology and reliable methods for estimating follicle populations in PCOS? STUDY ANSWER: Using newer ultrasound technology and a reliable grid system approach to count follicles, we concluded that a substantially higher threshold of follicle counts throughout the entire ovary (FNPO)-26 versus 12 follicles-is required to distinguish among women with PCOS and healthy women from the general population. WHAT IS KNOWN ALREADY: The Rotterdam consensus defined the polycystic ovary as having 12 or more follicles, measuring between 2 and 9 mm (FNPO), and/or an ovarian volume (OV) >10 cm(3). Since their initial proposal in 2003, a heightened prevalence of polycystic ovaries has been described in healthy women with regular menstrual cycles, which has questioned the accuracy of these criteria and marginalized the specificity of polycystic ovaries as a diagnostic criterion for PCOS. STUDY DESIGN, SIZE, DURATION: A diagnostic test study was performed using cross-sectional data, collected from 2006 to 2011, from 168 women prospectively evaluated by transvaginal ultrasonography. Receiver operating characteristic (ROC) curve analyses were performed to determine the appropriate diagnostic thresholds for: (i) FNPO, (ii) follicle counts in a single cross section (FNPS) and (iii) OV. The levels of intra- and inter-observer reliability when five observers used the proposed criteria on 100 ultrasound cases were also determined. PARTICIPANTS/MATERIALS, SETTING, METHODS: Ninety-eight women diagnosed with PCOS by the National Institutes of Health criteria as having both oligo-amenorrhea and hyperandrogenism and 70 healthy female volunteers recruited from the general population. Participants were evaluated by transvaginal ultrasonography at the Royal University Hospital within the Department of Obstetrics, Gynecology and Reproductive Sciences, University of Saskatchewan (Saskatoon, SK, Canada) and in the Division of Nutritional Sciences' Human Metabolic Research Unit, Cornell University (Ithaca, NY, USA). MAIN RESULTS: Diagnostic potential for PCOS was highest for FNPO (0.969), followed by FNPS (0.880) and OV (0.873) as judged by the area under the ROC curve. An FNPO threshold of 26 follicles had the best compromise between sensitivity (85%) and specificity (94%) when discriminating between controls and PCOS. Similarly, an FNPS threshold of nine follicles had a 69% sensitivity and 90% specificity, and an OV of 10 cm(3) had a 81% sensitivity and 84% specificity. Levels of intra-observer reliability were 0.81, 0.80 and 0.86 when assessing FNPO, FNPS and OV, respectively. Inter-observer reliability was 0.71, 0.72 and 0.82, respectively. LIMITATIONS, REASONS FOR CAUTION: Thresholds proposed by this study should be limited to use in women aged between 18 and 35 years. WIDER IMPLICATIONS OF THE FINDINGS: Polycystic ovarian morphology has excellent diagnostic potential for detecting PCOS. FNPO have better diagnostic potential and yield greater diagnostic confidence compared with assessments of FNPS or OV. Whenever possible, images throughout the entire ovary should be collected for the ultrasonographic evaluation of PCOS. STUDY FUNDING AND COMPETING INTEREST: This study was funded by Cornell University and fellowship awards from the Saskatchewan Health Research Foundation and Canadian Institutes of Health Research. The authors have no conflict of interests to disclose.
Subject(s)
Ovarian Follicle/diagnostic imaging , Ovary/diagnostic imaging , Polycystic Ovary Syndrome/diagnostic imaging , Adult , Female , Humans , Menstrual Cycle , Observer Variation , Ovary/pathology , Polycystic Ovary Syndrome/diagnosis , ROC Curve , Reproducibility of Results , Sensitivity and Specificity , Testosterone/analysis , Ultrasonography , Young AdultABSTRACT
The study objectives were to determine whether ovarian morphology can distinguish between women with regular menstrual cycles, normo-androgenic anovulation (NA-Anov), and PCOS and whether body mass index (BMI)-specific thresholds improved diagnostic potential. Women with PCOS (biochemical and/or clinical hyperandrogenism and irregular cycles; N = 66), NA-Anov (irregular cycles without clinical and/or biochemical hyperandrogenism; N = 64), or regular cycles (controls; cycles every 21-35 days in the absence of clinical or biochemical hyperandrogenism; N = 51) were evaluated. Participants underwent a reproductive history, physical exam, transvaginal ultrasound, and a fasting blood sample. Linear regression analyses were used to assess the impact of BMI on ovarian morphology across groups. The diagnostic performance of ovarian morphology for anovulatory conditions, and by BMI (lean: <25 kg/m2; overweight: ≥25 kg/m2), was tested using Receiver Operating Characteristic (ROC) curves. Follicle number per ovary (FNPO) and ovarian volume (OV), but not follicle number per cross-section (FNPS), increased across controls, NA-Anov, and PCOS. Overall, FNPO had the best diagnostic performance for PCOS versus controls (AUCROC = 0.815) and NA-Anov and controls (AUCROC = 0.704), and OV to differentiate between PCOS and NA-Anov (AUCROC = 0.698). In lean women, FNPO best differentiated between PCOS and controls (AUCROC = 0.843) and PCOS versus NA-Anov (AUCROC = 0.710). FNPS better distinguished between NA-Anov and controls (AUCROC = 0.687), although diagnostic performance was lower than when thresholds were generated using all participants. In women with overweight and obesity, OV persisted as the best diagnostic feature across all analyses (PCOS versus control, AUCROC = 0.885; PCOS versus NA-Anov, AUCROC = 0.673; NA-Anov versus controls, AUCROC = 0.754). Ovarian morphology holds diagnostic potential to distinguish between NA-Anov and PCOS, with marginal differences in diagnostic potential when participants were stratified by BMI suggesting that follicle number may provide better diagnostic performance in lean women and ovarian size in those with overweight.
ABSTRACT
Circulating melatonin is elevated in women with polycystic ovary syndrome (PCOS); whether circadian disruptions coincide with sleep disturbances in women with PCOS or their symptom severity is unclear. The objective of this observational pilot study was to determine whether altered patterns of melatonin excretion are associated with reduced sleep quality in women with versus without PCOS. Participants underwent a clinical assessment, transvaginal ultrasound, and reproductive hormone testing. Morning and evening urine samples were assayed for urinary 6-sulfatoxymelatonin (MEL) as a proxy for melatonin production. The night (morning MEL)-to-day (evening MEL) ratio, or N:D ratio, was determined to approximate the rhythm of MEL production. Sleep quality and duration were assessed using the Pittsburgh Sleep Quality Index (PSQI) and wrist actigraphy. No differences were detected in overnight MEL, daytime MEL, or the N:D ratio in participants with PCOS versus controls. The PCOS group experienced reduced weekend sleep efficiency vs. controls (81% vs. 88% p < 0.05). The number of follicles per ovary (FNPO) was positively associated with overnight MEL (r = 0.359, p < 0.05). Weekend sleep time and overnight MEL concentrations were dependent on PCOS status. Therefore, diagnostic features of PCOS were associated with MEL production and sleep disturbances, suggesting that women with a more severe clinical presentation of PCOS may be more likely to experience altered MEL production or sleep disturbances.
ABSTRACT
BACKGROUND: Lifestyle (dietary and/or physical activity [PA]) modification is recommended as first-line therapy to manage polycystic ovary syndrome (PCOS). Current recommendations are based on healthy lifestyle practices for the general public since evidence for unique lifestyle approaches in PCOS is limited and low quality. OBJECTIVE AND RATIONALE: We aimed to synthesize evidence on dietary and PA behaviors between women with PCOS and those without PCOS. Primary outcomes were overall diet quality, total energy intake and total PA, and secondary outcomes included macronutrients, micronutrients, food groups, foods, glycemic indices, sedentary time and sitting levels. We conducted this work to identify any unique lifestyle behaviors in women with PCOS that could underlie the propensity of weight gain and obesity in PCOS and be targeted for precision nutrition and PA interventions. These findings could be used to inform future practice recommendations and research that more effectively address complications (weight gain, obesity, diabetes, infertility, cardiovascular disease and mental health) in this high-risk population. SEARCH METHODS: Databases of MEDLINE, Web of Science, Scopus and CINAHL were searched until 15 February 2022 to identify observational studies documenting dietary and PA behaviors between women with PCOS and without PCOS (Controls). Studies on children, adolescents (<18 years), pregnant or menopausal-aged women (>50 years) were excluded. Data were pooled by random-effects models and expressed as (standardized) mean differences (MD) and 95% CIs. The risk of bias was assessed by the Newcastle-Ottawa scale (NOS). OUTCOMES: Fifty-four studies (N = 39â471 participants; [n = 8736 PCOS; 30â735 Controls]) were eligible (96%; [52/54] NOS scores ≥ 7). Women with PCOS had higher cholesterol (MD: 12.78, 95% CI: 1.48 to 24.08 mg/day; P = 0.03; I2 = 19%), lower magnesium (MD: -21.46, 95% CI: -41.03 to -1.91 mg/day; P = 0.03; I2 = 76%), and a tendency for lower zinc (MD: -1.08, 95% CI: -2.19 to -0.03 mg/day; P = 0.05; I2 = 96%) intake, despite lower alcohol consumption (MD: -0.95, 95% CI: -1.67 to 0.22 g/day; P = 0.02; I2 = 0%) versus Controls. Also, women with PCOS had lower total PA (standardized mean difference: -0.38, 95% CI: -0.72 to 0.03; P = 0.03; I2 = 98%). Conversely, energy, macronutrients (carbohydrate, fat, protein, fiber), micronutrients (folic acid, iron, calcium, sodium), glycemic index and glycemic load were similar (all: P ≥ 0.06). Most eligible studies reported lower total adherence to healthy eating patterns or poorer consumption of major food groups (grains, fruits, vegetables, proteins, seeds, nuts, dairy) in women with PCOS, as described narratively since variable study methodology did not permit meta-analyses. WIDER IMPLICATIONS: Collective evidence supports that women with PCOS have a lower overall diet quality, poorer dietary intakes (higher cholesterol, lower magnesium and zinc) and lower total PA, despite lower alcohol consumption versus those without PCOS. Considerable heterogeneity among studies reinforces the need for research to address any relative contributions of other factors (e.g. genetic, metabolic or sociodemographic) to the observed differences. These clarifications may contribute to future evidence-based guideline recommendations on monitoring and managing PCOS in the era of precision lifestyle medicine.