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  1. Article ; Online: Studying reproductive and gynaecologic health as risk factors for chronic disease development.

    Farland, Leslie V / Pollack, Anna Z / Schliep, Karen C

    Paediatric and perinatal epidemiology

    2024  

    Language English
    Publishing date 2024-01-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 639089-4
    ISSN 1365-3016 ; 0269-5022 ; 1353-663X
    ISSN (online) 1365-3016
    ISSN 0269-5022 ; 1353-663X
    DOI 10.1111/ppe.13041
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  2. Article ; Online: Invited Commentary: Women's Reproductive Life Spans and Subsequent Inflammatory Profiles-How to Best Measure Reproductive Life Span and the Need for Baseline Assessments.

    Schliep, Karen C

    American journal of epidemiology

    2019  Volume 189, Issue 7, Page(s) 674–676

    Abstract: Inflammatory processes are known to drive the pathogenesis of several chronic diseases, including cardiovascular disease and Alzheimer disease, as well as all-cause mortality. Emerging research indicates that women who have a longer reproductive life ... ...

    Abstract Inflammatory processes are known to drive the pathogenesis of several chronic diseases, including cardiovascular disease and Alzheimer disease, as well as all-cause mortality. Emerging research indicates that women who have a longer reproductive life span-roughly determined as the period from menarche to menopause or lifetime number of ovulatory cycles after accounting for anovulatory time spans-are at lower risk for these inflammation-related chronic diseases. The paradox is that ovulation is known to induce acute inflammation. Given the limited research assessing the relationship between reproductive life span and later inflammatory profiles, Huang et al. (Am J Epidemiol. 2020;189(7):660-670) set out to investigate this relationship within 2 of the most robust longitudinal cohort studies of women, the Nurses' Health studies. They found that after adjustment for other inflammation-related factors, including adiposity, exercise, and diet, lifetime ovulatory years was associated with lower C-reactive protein levels in both premenopausal and postmenopausal women. Huang et al. call attention to several challenges in research on women's reproductive life spans, including how to appropriately capture lifetime ovulatory cycles and the need for repeated measurements of inflammatory biomarkers across the life course if we wish to understand pathogenic processes linking reproductive factors to subsequent chronic disease.
    MeSH term(s) Biomarkers ; Female ; Humans ; Longevity ; Longitudinal Studies ; Menarche ; Menopause
    Chemical Substances Biomarkers
    Language English
    Publishing date 2019-12-13
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwz266
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  3. Article ; Online: An artificial intelligence approach for investigating multifactorial pain-related features of endometriosis.

    Kiser, Amber C / Schliep, Karen C / Hernandez, Edgar Javier / Peterson, C Matthew / Yandell, Mark / Eilbeck, Karen

    PloS one

    2024  Volume 19, Issue 2, Page(s) e0297998

    Abstract: Endometriosis is a debilitating, chronic disease that is estimated to affect 11% of reproductive-age women. Diagnosis of endometriosis is difficult with diagnostic delays of up to 12 years reported. These delays can negatively impact health and quality ... ...

    Abstract Endometriosis is a debilitating, chronic disease that is estimated to affect 11% of reproductive-age women. Diagnosis of endometriosis is difficult with diagnostic delays of up to 12 years reported. These delays can negatively impact health and quality of life. Vague, nonspecific symptoms, like pain, with multiple differential diagnoses contribute to the difficulty of diagnosis. By investigating previously imprecise symptoms of pain, we sought to clarify distinct pain symptoms indicative of endometriosis, using an artificial intelligence-based approach. We used data from 473 women undergoing laparoscopy or laparotomy for a variety of surgical indications. Multiple anatomical pain locations were clustered based on the associations across samples to increase the power in the probability calculations. A Bayesian network was developed using pain-related features, subfertility, and diagnoses. Univariable and multivariable analyses were performed by querying the network for the relative risk of a postoperative diagnosis, given the presence of different symptoms. Performance and sensitivity analyses demonstrated the advantages of Bayesian network analysis over traditional statistical techniques. Clustering grouped the 155 anatomical sites of pain into 15 pain locations. After pruning, the final Bayesian network included 18 nodes. The presence of any pain-related feature increased the relative risk of endometriosis (p-value < 0.001). The constellation of chronic pelvic pain, subfertility, and dyspareunia resulted in the greatest increase in the relative risk of endometriosis. The performance and sensitivity analyses demonstrated that the Bayesian network could identify and analyze more significant associations with endometriosis than traditional statistical techniques. Pelvic pain, frequently associated with endometriosis, is a common and vague symptom. Our Bayesian network for the study of pain-related features of endometriosis revealed specific pain locations and pain types that potentially forecast the diagnosis of endometriosis.
    MeSH term(s) Female ; Humans ; Endometriosis/complications ; Endometriosis/diagnosis ; Endometriosis/surgery ; Quality of Life ; Artificial Intelligence ; Bayes Theorem ; Pelvic Pain/etiology ; Pelvic Pain/complications ; Laparoscopy/methods ; Infertility/complications
    Language English
    Publishing date 2024-02-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0297998
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  4. Article ; Online: Polycystic ovary syndrome and postpartum depression among Hispanics and non-Hispanics: a population-based study.

    Fugal, Adriele D / Stanford, Joseph B / Johnstone, Erica B / Kah, Kebba / Schliep, Karen C

    AJOG global reports

    2022  Volume 2, Issue 3

    Abstract: Background: Women with polycystic ovary syndrome experience increased health complications during and after pregnancy, including a higher prevalence of postpartum depression. Although previous research has found that Hispanic women with polycystic ovary ...

    Abstract Background: Women with polycystic ovary syndrome experience increased health complications during and after pregnancy, including a higher prevalence of postpartum depression. Although previous research has found that Hispanic women with polycystic ovary syndrome experience heightened hyperandrogenism and metabolic effects compared with non-Hispanic women, it is unknown whether they experience other polycystic ovary syndrome-related comorbidities, such as postpartum depression, to a greater degree than their non-Hispanic counterparts.
    Objective: This study aimed to determine the associations among a self-reported prepregnancy diagnosis of polycystic ovary syndrome, polycystic ovary syndrome symptoms (irregular menstruation, hirsutism, and acne), and postpartum depression among a national sample of at-risk women and evaluated the potential effect modification by Hispanic ethnicity.
    Study design: The study population included 52,267 postpartum (2-6 months) women who completed the US Pregnancy Risk Assessment Monitoring System Phase 8 questionnaire (2016-2018). Data from US states that captured self-reported polycystic ovary syndrome symptoms in the 3 months before pregnancy (n=17 states) were used. Moreover, we performed a subanalysis restricted to data from the Utah Pregnancy Risk Assessment Monitoring System Phase 8 questionnaire (2016-2019; n=5814), as it was the only state that considered self-reported polycystic ovary syndrome symptoms during this period. Postpartum depressed mood and anhedonia, the postpartum depression outcome measurements, were assessed via the following questions, respectively: (1) "Since your new baby was born, how often have you felt down, depressed, or hopeless?" and (2) "Since your new baby was born, how often have you had little interest or little pleasure in doing things you usually enjoyed?" In addition, postpartum depressed mood and anhedonia were assessed separately and as a combined variable. Here, weighted adjusted prevalence ratios and 95% confidence intervals were used to assess the association between polycystic ovary syndrome and postpartum depressed mood and anhedonia among Hispanic women and non-Hispanic women while taking into account preconception sociodemographics, lifestyle, and health history confounding factors.
    Results: The national study population was composed of 16.8% of Hispanic ethnicity, with 11.4% Hispanic women and 17.1% non-Hispanic women reporting prepregnancy polycystic ovary syndrome symptoms. The study found no association between women reporting prepregnancy polycystic ovary syndrome vs women without polycystic ovary syndrome and the prevalence of postpartum depressed mood and/or anhedonia. Moreover, the results were null when we stratified by Hispanic ethnicity. The Utah study population was composed of 15.5% of women of Hispanic ethnicity, with 5.8% of Hispanic women and 7.4% of non-Hispanic women reporting prepregnancy polycystic ovary syndrome. Symptom-based polycystic ovary syndrome (having irregular menstruation with hirsutism or irregular menstruation with acne), compared with having regular menstruation in the Utah sample, was associated with a 1.54 higher adjusted prevalence ratio (95% confidence interval, 1.14-2.09) for postpartum depressed mood and anhedonia. Stratified analyses by ethnicity indicated a 2- to 5-fold higher prevalence of postpartum depression with symptom-based polycystic ovary syndrome for Hispanic women and a 1.5-fold higher prevalence for non-Hispanic women.
    Conclusion: In this US population-based study, a self-reported prepregnancy diagnosis of polycystic ovary syndrome was not associated with postpartum depression. However, self-reported polycystic ovary syndrome symptoms, including irregular menstruation and acne and/or hirsutism, were associated with a higher probability of postpartum depression, most prominently for Hispanic women. Our findings suggested that capturing polycystic ovary syndrome symptoms among at-risk women may be important for identifying associations with postpartum depression and potentially other comorbidities.
    Language English
    Publishing date 2022-07-07
    Publishing country United States
    Document type Journal Article
    ISSN 2666-5778
    ISSN (online) 2666-5778
    DOI 10.1016/j.xagr.2022.100070
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Overall and sex-specific risk factors for subjective cognitive decline: findings from the 2015-2018 Behavioral Risk Factor Surveillance System Survey.

    Schliep, Karen C / Barbeau, William A / Lynch, Kristine E / Sorweid, Michelle K / Varner, Michael W / Foster, Norman L / Qeadan, Fares

    Biology of sex differences

    2022  Volume 13, Issue 1, Page(s) 16

    Abstract: Background: Prior research indicates that at least 35% of Alzheimer's disease and related dementia risk may be amenable to prevention. Subjective cognitive decline is often the first indication of preclinical dementia, with the risk of subsequent ... ...

    Abstract Background: Prior research indicates that at least 35% of Alzheimer's disease and related dementia risk may be amenable to prevention. Subjective cognitive decline is often the first indication of preclinical dementia, with the risk of subsequent Alzheimer's disease in such individuals being greater in women than men. We wished to understand how modifiable factors are associated with subjective cognitive decline, and whether differences exist by sex.
    Methods: Data were collected from men and women (45 years and older) who completed the U.S. Behavioral Risk Factor Surveillance System Cognitive Decline Module (2015-2018), n = 216,838. We calculated population-attributable fractions for subjective cognitive decline, stratified by sex, of the following factors: limited education, deafness, social isolation, depression, smoking, physical inactivity, obesity, hypertension, and diabetes. Our models were adjusted for age, race, income, employment, marital and Veteran status, and accounted for communality among risk factors.
    Results: The final study sample included more women (53.7%) than men, but both had a similar prevalence of subjective cognitive decline (10.6% of women versus 11.2% of men). Women and men had nearly equivalent overall population-attributable fractions to explain subjective cognitive decline (39.7% for women versus 41.3% for men). The top three contributing risk factors were social isolation, depression, and hypertension, which explained three-quarters of the overall population-attributable fraction.
    Conclusions: While we did not identify any differences in modifiable factors between men and women contributing to subjective cognitive decline, other factors including reproductive or endocrinological health history or biological factors that interact with sex to modify risk warrant further research.
    MeSH term(s) Alzheimer Disease ; Behavioral Risk Factor Surveillance System ; Cognitive Dysfunction/epidemiology ; Cognitive Dysfunction/psychology ; Female ; Humans ; Hypertension/epidemiology ; Male ; Risk Factors
    Language English
    Publishing date 2022-04-12
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 2587352-0
    ISSN 2042-6410 ; 2042-6410
    ISSN (online) 2042-6410
    ISSN 2042-6410
    DOI 10.1186/s13293-022-00425-3
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  6. Article ; Online: Comparison of woman-picked, expert-picked, and computer-picked Peak Day of cervical mucus with blinded urine luteinising hormone surge for concurrent identification of ovulation.

    Stanford, Joseph B / Schliep, Karen C / Chang, Chun-Pin / O'Sullivan, John-Paul / Porucznik, Christina A

    Paediatric and perinatal epidemiology

    2020  Volume 34, Issue 2, Page(s) 105–113

    Abstract: Background: Previous research has demonstrated that women instructed in fertility awareness methods can identify the Peak Day of cervical mucus discharge for each menstrual cycle, and the Peak Day has high agreement with other indicators of the day of ... ...

    Abstract Background: Previous research has demonstrated that women instructed in fertility awareness methods can identify the Peak Day of cervical mucus discharge for each menstrual cycle, and the Peak Day has high agreement with other indicators of the day of ovulation. However, previous studies enrolled experienced users of fertility awareness methods or were not fully blinded.
    Objective: To assess the agreement between cervical mucus Peak Day identified by fertile women without prior experience on assessing cervical mucus discharge with the estimated day of ovulation (1 day after urine luteinising hormone surge).
    Methods: This study is a secondary analysis of data from a randomised trial of the Creighton Model FertilityCare
    Results: Fifty-seven women with 187 complete cycles were included. A Peak Day was identified in 117 (63%) cycles by women, 185 (99%) cycles by experts, and 187 (100%) by computer algorithm. The woman-picked Peak Day was the same as the referent day in 25% of 117 cycles, within ±1 day in 58% of cycles, ±2 days in 84%, ±3 days in 87%, and ±4 days in 92%. The ±1 day and ± 4 days' agreement was 50% and 90% for the expert-picked and 47% and 87% for the computer-picked Peak Day, respectively.
    Conclusions: Women's daily tracking of cervical mucus is a low-cost alternative for identifying the estimated day of ovulation.
    MeSH term(s) Adult ; Algorithms ; Biomarkers/analysis ; Biomarkers/urine ; Cervix Mucus/physiology ; Correlation of Data ; Diagnosis, Computer-Assisted/methods ; Female ; Fertile Period/physiology ; Humans ; Luteinizing Hormone/analysis ; Luteinizing Hormone/urine ; Menstrual Cycle ; Ovulation/physiology ; Reproducibility of Results ; Self-Examination/methods ; Time-to-Pregnancy/physiology
    Chemical Substances Biomarkers ; Luteinizing Hormone (9002-67-9)
    Language English
    Publishing date 2020-02-24
    Publishing country England
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 639089-4
    ISSN 1365-3016 ; 0269-5022 ; 1353-663X
    ISSN (online) 1365-3016
    ISSN 0269-5022 ; 1353-663X
    DOI 10.1111/ppe.12642
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  7. Article ; Online: Generating Older Adult Multimorbidity Trajectories Using Various Comorbidity Indices and Calculation Methods.

    Newman, Michael G / Porucznik, Christina A / Date, Ankita P / Abdelrahman, Samir / Schliep, Karen C / VanDerslice, James A / Smith, Ken R / Hanson, Heidi A

    Innovation in aging

    2023  Volume 7, Issue 3, Page(s) igad023

    Abstract: Background and objectives: Older adult multimorbidity trajectories are helpful for understanding the current and future health patterns of aging populations. The construction of multimorbidity trajectories from comorbidity index scores will help inform ... ...

    Abstract Background and objectives: Older adult multimorbidity trajectories are helpful for understanding the current and future health patterns of aging populations. The construction of multimorbidity trajectories from comorbidity index scores will help inform public health and clinical interventions targeting those individuals that are on unhealthy trajectories. Investigators have used many different techniques when creating multimorbidity trajectories in prior literature, and no standard way has emerged. This study compares and contrasts multimorbidity trajectories constructed from various methods.
    Research design and methods: We describe the difference between aging trajectories constructed with the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI). We also explore the differences between acute (single-year) and chronic (cumulative) derivations of CCI and ECI scores. Social determinants of health can affect disease burden over time; thus, our models include income, race/ethnicity, and sex differences.
    Results: We use group-based trajectory modeling (GBTM) to estimate multimorbidity trajectories for 86,909 individuals aged 66-75 in 1992 using Medicare claims data collected over the following 21 years. We identify low-chronic disease and high-chronic disease trajectories in all 8 generated trajectory models. Additionally, all 8 models satisfied prior established statistical diagnostic criteria for well-performing GBTM models.
    Discussion and implications: Clinicians may use these trajectories to identify patients on an unhealthy path and prompt a possible intervention that may shift the patient to a healthier trajectory.
    Language English
    Publishing date 2023-04-12
    Publishing country England
    Document type Journal Article
    ISSN 2399-5300
    ISSN (online) 2399-5300
    DOI 10.1093/geroni/igad023
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  8. Article ; Online: Examining the co-occurrence of endometriosis and polycystic ovarian syndrome.

    Schliep, Karen C / Ghabayen, Lina / Shaaban, May / Hughes, Felicity R / Pollack, Anna Z / Stanford, Joseph B / Brady, Kristy Allen / Kiser, Amber / Peterson, C Matthew

    AJOG global reports

    2023  Volume 3, Issue 3, Page(s) 100259

    Abstract: Background: Polycystic ovarian syndrome and endometriosis are 2 of the most common reproductive disorders among women but are thought to be unrelated.: Objective: This study aimed to examine the overlap and common symptoms of polycystic ovarian ... ...

    Abstract Background: Polycystic ovarian syndrome and endometriosis are 2 of the most common reproductive disorders among women but are thought to be unrelated.
    Objective: This study aimed to examine the overlap and common symptoms of polycystic ovarian syndrome and endometriosis.
    Study design: The study population included the Endometriosis, Natural History, Diagnosis, and Outcomes Study (2007-2009) operative cohort: 473 women, aged 18 to 44 years, who underwent a diagnostic and/or therapeutic laparoscopy or laparotomy at 1 of 14 surgical centers located in Salt Lake City, Utah, or San Francisco, California, in addition to a population cohort composed of 127 women from the surgical centers' catchment areas. Age and site-adjusted multinomial regression models were used to estimate adjusted prevalence ratios and 95% confidence intervals of reproductive history characteristics among women with endometriosis only, women with polycystic ovarian syndrome only, and women with both endometriosis and polycystic ovarian syndrome.
    Results: Among the operative cohort, 35% had endometriosis only, 9% had polycystic ovarian syndrome only, and 5% had endometriosis and polycystic ovarian syndrome. Among the population cohort, 10% had endometriosis only, 8% had polycystic ovarian syndrome only, and 2% had endometriosis and polycystic ovarian syndrome. In the operative cohort, a history of subfertility was associated with a higher adjusted probability of having both conditions (adjusted prevalence ratio, 10.33; 95% confidence interval, 3.94-27.08), followed by having endometriosis only (adjusted prevalence ratio, 2.45; 95% confidence interval, 1.56-3.84) or polycystic ovarian syndrome only (adjusted prevalence ratio, 1.15; 95% confidence interval, 0.51-2.61), than having neither condition. In addition, experiencing chronic pelvic pain within the past 12 months was associated with a higher probability of having both conditions (adjusted prevalence ratio, 2.53; 95% confidence interval, 1.07-6.00) than having neither condition.
    Conclusion: Among a cohort of women undergoing gynecologic laparoscopy or laparotomy, our study found that nearly 1 in 20 women had both an incident endometriosis diagnosis and symptoms consistent with polycystic ovarian syndrome. Among a population cohort of women not seeking gynecologic care, polycystic ovarian syndrome and endometriosis overlap prevalence was approximately 1 in 50 women.
    Language English
    Publishing date 2023-08-28
    Publishing country United States
    Document type Journal Article
    ISSN 2666-5778
    ISSN (online) 2666-5778
    DOI 10.1016/j.xagr.2023.100259
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  9. Article ; Online: Cervical mucus patterns and the fertile window in women without known subfertility: a pooled analysis of three cohorts.

    Najmabadi, Shahpar / Schliep, Karen C / Simonsen, Sara E / Porucznik, Christina A / Egger, Marlene J / Stanford, Joseph B

    Human reproduction (Oxford, England)

    2021  Volume 36, Issue 7, Page(s) 1784–1795

    Abstract: Study question: What is the normal range of cervical mucus patterns and number of days with high or moderate day-specific probability of pregnancy (if intercourse occurs on a specific day) based on cervical mucus secretion, in women without known ... ...

    Abstract Study question: What is the normal range of cervical mucus patterns and number of days with high or moderate day-specific probability of pregnancy (if intercourse occurs on a specific day) based on cervical mucus secretion, in women without known subfertility, and how are these patterns related to parity and age?
    Summary answer: The mean days of peak type (estrogenic) mucus per cycle was 6.4, the mean number of potentially fertile days was 12.1; parous versus nulliparous, and younger nulliparous (<30 years) versus older nulliparous women had more days of peak type mucus, and more potentially fertile days in each cycle.
    What is known already: The rise in estrogen prior to ovulation supports the secretion of increasing quantity and estrogenic quality of cervical mucus, and the subsequent rise in progesterone after ovulation causes an abrupt decrease in mucus secretion. Cervical mucus secretion on each day correlates highly with the probability of pregnancy if intercourse occurs on that day, and overall cervical mucus quality for the cycle correlates with cycle fecundability. No prior studies have described parity and age jointly in relation to cervical mucus patterns.
    Study design, size, duration: This study is a secondary data analysis, combining data from three cohorts of women: 'Creighton Model MultiCenter Fecundability Study' (CMFS: retrospective cohort, 1990-1996), 'Time to Pregnancy in Normal Fertility' (TTP: randomized trial, 2003-2006), and 'Creighton Model Effectiveness, Intentions, and Behaviors Assessment' (CEIBA: prospective cohort, 2009-2013). We evaluated cervical mucus patterns and estimated fertile window in 2488 ovulatory cycles of 528 women, followed for up to 1 year.
    Participants/materials, setting, methods: Participants were US or Canadian women age 18-40 years, not pregnant, and without any known subfertility. Women were trained to use a standardized protocol (the Creighton Model) for daily vulvar observation, description, and recording of cervical mucus. The mucus peak day (the last day of estrogenic quality mucus) was used as the estimated day of ovulation. We conducted dichotomous stratified analyses for cervical mucus patterns by age, parity, race, recent oral contraceptive use (within 60 days), partial breast feeding, alcohol, and smoking. Focusing on the clinical characteristics most correlated to cervical mucus patterns, linear mixed models were used to assess continuous cervical mucus parameters and generalized linear models using Poisson regression with robust variance were used to assess dichotomous outcomes, stratifying by women's parity and age, while adjusting for recent oral contraceptive use and breast feeding.
    Main results and the role of chance: The majority of women were <30 years of age (75.4%) (median 27; IQR 24-29), non-Hispanic white (88.1%), with high socioeconomic indicators, and nulliparous (70.8%). The mean (SD) days of estrogenic (peak type) mucus per cycle (a conservative indicator of the fertile window) was 6.4 (4.2) days (median 6; IQR 4-8). The mean (SD) number of any potentially fertile days (a broader clinical indicator of the fertile window) was 12.1 (5.4) days (median 11; IQR 9-14). Taking into account recent oral contraceptive use and breastfeeding, nulliparous women age ≥30 years compared to nulliparous women age <30 years had fewer mean days of peak type mucus per cycle (5.3 versus 6.4 days, P = 0.02), and fewer potentially fertile days (11.8 versus 13.9 days, P < 0.01). Compared to nulliparous women age <30 years, the likelihood of cycles with peak type mucus ≤2 days, potentially fertile days ≤9, and cervical mucus cycle score (for estrogenic quality of mucus) ≤5.0 were significantly higher among nulliparous women age ≥30 years, 1.90 (95% confidence interval (CI) 1.18, 3.06); 1.46 (95% CI 1.12, 1.91); and 1.45 (95% CI 1.03, 2.05), respectively. Between parous women, there was little difference in mucus parameters by age. Thresholds set a priori for within-woman variability of cervical mucus parameters by cycle were examined as follows: most minus fewest days of peak type mucus >3 days (exceeded by 72% of women), most minus fewest days of non-peak type mucus >4 days (exceeded by 54% of women), greatest minus least cervical mucus cycle score >4.0 (exceeded by 73% of women), and most minus fewest potentially fertile days >8 days (found in 50% of women). Race did not have any association with cervical mucus parameters. Recent oral contraceptive use was associated with reduced cervical mucus cycle score and partial breast feeding was associated with a higher number of days of mucus (both peak type and non-peak type), consistent with prior research. Among the women for whom data were available (CEIBA and TTP), alcohol and tobacco use had minimal impact on cervical mucus parameters.
    Limitations, reasons for caution: We did not have data on some factors that may impact ovulation, hormone levels, and mucus secretion, such as physical activity and body mass index. We cannot exclude the possibility that some women had unknown subfertility or undiagnosed gynecologic disorders. Only 27 women were age 35 or older. Our study participants were geographically dispersed but relatively homogeneous with regard to race, ethnicity, income, and educational level, which may limit the generalizability of the findings.
    Wider implications of the findings: Patterns of cervical mucus secretion observed by women are an indicator of fecundity and the fertile window that are consistent with the known associations of age and parity with fecundity. The number of potentially fertile days (12 days) is likely greater than commonly assumed, while the number of days of highly estrogenic mucus (and higher probability of pregnancy) correlates with prior identifications of the fertile window (6 days). There may be substantial variability in fecundability between cycles for the same woman. Future work can use cervical mucus secretion as an indicator of fecundity and should investigate the distribution of similar cycle parameters in women with various reproductive or gynecologic pathologies.
    Study funding/competing interest(s): Funding for the three cohorts analyzed was provided by the Robert Wood Johnson Foundation (CMFS), the Eunice Kennedy Shriver National Institute of Child Health and Human Development (TTP), and the Office of Family Planning, Office of Population Affairs, Health and Human Services (CEIBA). The authors declare that they have no conflict of interest.
    Trial registration number: N/A.
    MeSH term(s) Adolescent ; Adult ; Canada ; Cervix Mucus ; Child ; Female ; Fertility ; Humans ; Infertility ; Multicenter Studies as Topic ; Pregnancy ; Prospective Studies ; Randomized Controlled Trials as Topic ; Retrospective Studies ; Young Adult
    Language English
    Publishing date 2021-04-24
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 632776-x
    ISSN 1460-2350 ; 0268-1161 ; 1477-741X
    ISSN (online) 1460-2350
    ISSN 0268-1161 ; 1477-741X
    DOI 10.1093/humrep/deab049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Variation in Sexual Orientation Documentation in a National Electronic Health Record System.

    Lynch, Kristine E / Viernes, Benjamin / Schliep, Karen C / Gatsby, Elise / Alba, Patrick R / DuVall, Scott L / Blosnich, John R

    LGBT health

    2021  Volume 8, Issue 3, Page(s) 201–208

    Abstract: Purpose: ...

    Abstract Purpose:
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Documentation/statistics & numerical data ; Electronic Health Records ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Sexual Behavior ; Sexual and Gender Minorities/statistics & numerical data ; United States ; United States Department of Veterans Affairs ; Veterans/statistics & numerical data ; Young Adult
    Language English
    Publishing date 2021-02-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2727303-9
    ISSN 2325-8306 ; 2325-8292
    ISSN (online) 2325-8306
    ISSN 2325-8292
    DOI 10.1089/lgbt.2020.0333
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