Depression, anxiety and self-esteem in adolescent girls with polycystic ovary syndrome

Zachurzok, Agnieszka; Pasztak-Opilka, Agnieszka; Gawlik, Aneta

doi:10.5603/gp.a2021.0042

Cited by 7 publications

(5 citation statements)

References 29 publications

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“…In this sense, early diagnosis and timely assessment of the severity of acne are essential in women with PCOS. However, inconsistent with previous studies (Wang et al, 2021;Yin et al, 2022;Zachurzok et al, 2021), we did not find direct relationships between overweight or obesity and mental health in women with PCOS. The different findings may be due to the insufficient number leading to the bias.…”

Section: Discussioncontrasting

confidence: 99%

Mental health latent profiles and emotion regulation in women with polycystic ovary syndrome: a cross-sectional study

Wang

Liu

Lei

2023

Preprint

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Introduction: Psychopathological disorders such as anxiety, depression and body image distress are common in women with PCOS and negatively impact their mental health. It is important to identify mental health latent subgroups of PCOS females and provide tailored measures to reduce psychopathological distress and improve their subjective well-being. Methods: LPA was conducted in Mplus version 8.3 to identify mental health latent profiles in women with PCOS based on the dual-factor approach. Differences in demographic and anthropometric variables, cognitive reappraisal, expressive suppression, and social support across mental health profiles were examined through multinomial logistic regression. Results: The current study identified three distinct mental health profiles within women with PCOS: Symptomatic but Content Profile Complete Mental Health Profile and Troubled Profile, with group proportions of 52.3%, 35.7%, and 11.1 %, respectively. The results of the multinomial regression analysis revealed that cognitive reappraisal and social support as predictors of positive mental health adjustment and expression suppression is an indicator of negative barriers in women with PCOS. Conclusion: This study identified three distinct mental health profiles in women with PCOS, which provides evidence for more precisely targeted interventions to address PCOS women’s diverse needs of psychopathological symptoms and subjective well-being.

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Section: Discussioncontrasting

confidence: 99%

Mental health latent profiles and emotion regulation in women with polycystic ovary syndrome: a cross-sectional study

Wang

Liu

Lei

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In this sense, early diagnosis and timely assessment of the severity of acne are essential in women with PCOS. However, inconsistent with previous studies (Wang et al, 2021; Yin et al, 2022; Zachurzok et al, 2021), the study did not find direct relationships between overweight or obesity and mental health in women with PCOS. The different findings may be due to the insufficient number leading to the bias.…”

Section: Discussioncontrasting

confidence: 99%

Mental health latent profiles and emotion regulation in women with polycystic ovary syndrome: A cross-sectional study

2023

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This cross-sectional study aimed to identify latent mental health subgroups of reproductive-aged women with polycystic ovary syndrome (PCOS) and examine differences in emotion regulation and social support. A total of 477 samples (age = 27.22 ± 5.37) diagnosed with PCOS were included in this study, all of whom were of the same ethnicity. Latent profile analysis (LPA) was conducted in Mplus version 8.3 to identify mental health latent profiles in women with PCOS based on the dual-factor approach. The current study identified three distinct mental health profiles within women with PCOS: High-Symptom and High-Well-being Profile, Low-Symptom and High-Well-being Profile, and High-Symptom and Low-Well-being Profile, with group proportions of 52.3%, 35.7%, and 11.1%, respectively. This study revealed that cognitive reappraisal and social support are important protective factors for the mental health of women with PCOS, whereas expressive suppression is a negative factor for their mental health.

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“…PHQ-9 has a score of 0 to 27 with higher scores indicating severer depressive conditions. Patient's self-esteem was assessed using the self-esteem scale-10 (SES-10) ( 20 ). SES-10 was widely sued to assess the individual's overall feelings about self-worth and self-acceptance.…”

Section: Methodsmentioning

confidence: 99%

Identification of risk factors for attempted suicide by self-poisoning and a nomogram to predict self-poisoning suicide

Zheng

Fan

et al. 2023

Front. Public Health

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PurposeSuicide is a global concern, especially among young people. Suicide prediction models have the potential to make it easier to identify patients who are at a high risk of suicide, but they have very little predictive power when there is a positive value for suicide mortality. Therefore, the aim of the study is to uncover potential risk factors associated with suicide by self-poisoning and further to provide a trustworthy nomogram to predict self-poisoning suicide among poisoned patients.MethodsThis study prospectively enrolled 237 patients who were treated for poisoning at the Fifth Medical Center of PLA General Hospital (Beijing) between May 2021 and May 2022. Patient's basic characteristics, daily activities, mental health status, and history of psychological illnesses were gathered to examine their predictive power for self-poisoning suicide. On developing a prediction model, patients were split 8:2 into a training (n = 196) group and a validation (n = 41) group at random via computer. The training group worked on model development, while the validation group worked on model validation. In this study, the Hosmer and Lemeshow test, accuracy, and area under the curve were the primary evaluation criteria. Shapley Additive exPlanations (SHAP) was determined to evaluate feature importance. To make the prediction model easy for researchers to utilize, it was presented in nomogram format. Two risk groups of patients were identified based on the ideal cut-off value.ResultsOf all poisoned patients, 64.6% committed suicide by self-poisoning. With regard to self-poisoning attempted suicide, multivariate analysis demonstrated that female gender, smoking, generalized anxiety disorder-7 (GAD-7), and beck hopelessness scale-20 (BHS-20) were significant risk factors, whereas married status, relatively higher education level, a sedentary time of 1–3 h per day, higher sport frequency per week, higher monthly income were significant protective features. The nomogram contained each of the aforementioned nine features. In the training group, the area under curve (AUC) of the nomogram was up to 0.938 (0.904–0.972), whereas in the validation group, it reached a maximum of 0.974 (0.937–1.000). Corresponding accuracy rates were up to 0.883 and 0.927, respectively, and the P-values for the Hosmer and Lemeshow test were 0.178 and 0.346, respectively. SHAP demonstrated that the top three most important features were BHS-20, GAD-7, and marital status. Based on the best cut-off value of the nomogram (40%), patients in the high-risk group had a nearly six-time larger likelihood of committing suicide by self-poisoning than patients in the low-risk group (88.68 vs. 15.38%, P < 0.001). The dynamic nomogram was made available at the following address: https://xiaobo.shinyapps.io/Nomogramselfpoisoningsuicide/.ConclusionsThis study proposes a prediction model to stratify patients at a high risk of suicide by self-poisoning and to guide individual preventive strategies. Patients in the high-risk group require further mental health counseling to alleviate anxiety and hopelessness, healthy lifestyle like quitting smoking and exercising more, and restriction of access to poison and psychiatric drugs.

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Depression, anxiety and self-esteem in adolescent girls with polycystic ovary syndrome

Cited by 7 publications

References 29 publications

Mental health latent profiles and emotion regulation in women with polycystic ovary syndrome: a cross-sectional study

Mental health latent profiles and emotion regulation in women with polycystic ovary syndrome: a cross-sectional study

Mental health latent profiles and emotion regulation in women with polycystic ovary syndrome: A cross-sectional study

Identification of risk factors for attempted suicide by self-poisoning and a nomogram to predict self-poisoning suicide

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