Journal of women's health
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Journal of women's health · Aug 2021
Prenatal Anxiety and Depression: Treatment Uptake, Barriers, and Facilitators in Midwifery Care.
Background: While many women experience prenatal symptoms of anxiety and/or depression (PSAD), treatment uptake rates are relatively low. Left untreated, symptoms can unfavorably affect maternal and infant health. The first aim of this study was to identify the treatment uptake rate and modalities of treatment received in a community sample of Dutch pregnant women. ⋯ Conclusions: Relatively few pregnant women received treatment for PSAD. Midwives play an essential role in identifying and referring women for treatment. Routine screening may be a starting point to offer support and, if needed, referral.
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Journal of women's health · Aug 2021
Health Status of Females Who Experience Incarceration: A Population-Based Retrospective Cohort Study.
Background: People who experience incarceration have poor health across a variety of indicators, but we lack population-level data on the health of females in particular. We examined the health status of females released from provincial prison, and compared their data with data for males released from provincial prison and females in the general population in Ontario, Canada in 2010. Methods: We conducted a retrospective cohort study using linked correctional and health administrative data. ⋯ They also tended to have higher rates of medical-surgical and psychiatric hospitalization. Conclusion: Females who experience incarceration have worse health overall than males who experience incarceration and females in the general population. Efforts should be made to reform programs and policies in the criminal justice and health care systems to support and promote health for females who experience incarceration.
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Journal of women's health · Aug 2021
Impact of Vulvovaginal Symptoms in Women Diagnosed with Cancer: A Psychometric Evaluation of the Day-to-Day Impact of Vaginal Aging Questionnaire.
Background: Vulvovaginal symptoms (VVS), such as dyspareunia, dryness, and itching, are common following cancer treatment and can negatively impact sexual well-being, daily activities, mood, self-concept, and overall quality of life. Information about the impact of VVS after cancer treatment is scarce, mainly because of a dearth of validated measures. This study aimed to validate the Day-to-Day Impact of Vaginal Aging (DIVA) questionnaire, which assesses impact of VVS on women's lives, in a sample of women with cancer. ⋯ Conclusions: This is the first study aimed at validating the DIVA in women treated for cancer. Results provide evidence of the DIVA's utility in assessing the impact of VVS on four relevant domains. Although issues with certain scale items need to be resolved in future research, the DIVA provides opportunity to understand the impact of VVS after cancer treatment, to address unmet needs of cancer survivors.
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Journal of women's health · Aug 2021
Development and Validation of a Nomogram for Predicting the Risk of Pregnancy-Induced Hypertension: A Retrospective Cohort Study.
Objective: To develop and validate a prediction model for identifying pregnant women at risk of developing pregnancy-induced hypertension (PIH) to guide treatment decision and classification of management. Methods: This study retrospectively enrolled 907 consecutive pregnant women with de novo hypertension from the Antenatal Care Center of Henan Provincial People's Hospital between June 1, 2018 and May 31, 2019. The cohort was randomly divided into two subgroups: the development cohort (n = 635) and validation cohort (n = 272). ⋯ When applied to internal validation, the score revealed good discrimination with stratified fivefold cross-validation in the development cohort (AUC = 0.91) and validation cohort (AUC: 0.89) at fixed 10% false-positive rates, and the calibration plots showed good calibration. The total score point was divided into three risk classifications: low risk (0 - 179 points), medium risk (179 - 204 points), and high risk (>204 points). Conclusions: This study established a prediction model for predicting PIH, which could be used in clinical decision-making to improve maternal health and birth outcomes.