Heterogeneity and associated factors of patients with polycystic ovary syndrome health behaviors: a latent class analysis.

OBJECTIVE: Using latent class to analyze whether there are subtypes of health behaviors in patients with PCOS can be addressed using targeted interventions. METHODS: October 2021 to June 2022, 471 PCOS patients were surveyed using the Health Promoting Lifestyle Profile Questionnaire. Latent class analysis (LCA) was used to identify subgroups of PCOS patients. Subsequent multinomial latent variable regressions identified factors that were associated with health behaviors. RESULTS: A three-class subtypes was the optimum grouping classification: (1)High healthy behavior risk; (2)high healthy responsibility and physical activity risk; (3)low healthy behavior risk. The multinomial logistic regression analysis revealed that (1)Single (OR = 2.061,95% CI = 1.207-3.659), Education level is primary school or below (OR = 4.997,95%CI = 1.732-14.416), participants is student (OR = 0.362,95%=0.138-0.948), participants with pregnancy needs (OR = 1.869,95%=1.009-3.463) were significantly more likely to be in the high healthy behavior risk subtypes; (2)The older the age (OR = 0.953,95%=0.867-1.047) and the larger the WC (OR = 0.954,95%=0.916-0.993), participants is married (OR = 1.126,95%=0.725-1.961), participants is employed ( OR = 1.418,95%=0.667-3.012) were significantly more likely to be in the high health responsibility and physical activity risk subtypes. CONCLUSION: Patients with PCOS are a heterogeneous population with potential subtypes that may be suitable for customized multi-level care and targeted interventions.

A structural equation model linking health literacy, self-efficacy, and quality of life in patients with polycystic ovary syndrome.

BACKGROUND: Health literacy is a crucial factor that affects health outcomes. Understanding the current status of health literacy among patients with polycystic ovary syndrome (PCOS) is the basis for helping patients better manage risk factors and improve their health outcomes. This study aimed to explore the status of and factors influencing health literacy in patients with PCOS, and to validate the pathway between health literacy, quality of life, and self-efficacy for these patients. METHODS: A cross-sectional study was conducted using a convenience sample of 300 patients with PCOS in the gynecology outpatient clinic of a tertiary hospital in Zunyi from March to September 2022. Data on health literacy, demographic features, quality of life, and self-efficacy were collected. Multiple stepwise linear regression was conducted to assess the risk factors associated with health literacy for the study participants. A structural equation model was used to construct and validate the pathways. RESULTS: Most participants exhibited low health literacy (3.61 ± 0.72), and only 25.70% had adequate health literacy. Multiple regression analysis revealed that the main factors associated with health literacy among participants included Body Mass Index (BMI) (B = -0.95, p < 0.01), education (B = 3.44, p < 0.01), duration of PCOS (B = 4.66, p < 0.01), quality of life (B = 0.25, p < 0.01), and self-efficacy (B = 0.76, p < 0.01). Multiple fit values indicated that the model fit the data effectively. The direct effect of health literacy on self-efficacy and quality of life was 0.06 and 0.32, respectively. The indirect effect of health literacy on quality of life was -0.053, and the total effect of health literacy on quality of life was 0.265. CONCLUSIONS: Health literacy was low among patients with PCOS. Healthcare providers should pay more attention to health literacy and to developing the corresponding intervention strategies urgently needed to improve the quality of life and health behavior of patients with PCOS.

A mobile health application to support self-management in patients with chronic obstructive pulmonary disease: a randomised controlled trial.

OBJECTIVE: To investigate the effects of a mobile health smartphone application to support self-management programmes on quality of life, self-management behaviour and exercise and smoking cessation behaviour in patients with chronic obstructive pulmonary disease (COPD). DESIGN: A randomised controlled, single-blind trial, was carried out from November 2017 to February 2019, which included 78 participants admitted with COPD to the Affiliated Hospital of Zunyi Medical University in Guizhou. The study participants were randomised into intervention (n = 39) and control groups (n = 39). METHODS: Participants in the intervention group undertook a mobile medical application-based programme in addition to routine care, and participants in the control group received only routine care. The outcome measures were health-related quality of life evaluated by the COPD Assessment-Test, self-management behaviour using the COPD Self-Management Scale and physical activity and smoking behaviour were measured using a self-designed questionnaire. Data collection was conducted at baseline, third month, sixth month and 12th months. RESULTS: Thirty-five participants in the intervention group and 33 in the control group completed the study. Compared to the control group, participants in the intervention group showed statistically significant improvement in the COPD -Assessment -Test scores (P < 0.01) and in all domains of the COPD Self-Management Scale scores (P < 0.01) at 12th 12 months. Improvements in the COPD -Assessment -Test scores by 4.3 and 0.3 units, and in the total scores of the COPD Self-Management Scale total score by 23.01 and 2.28 units, respectively, were observed in the intervention and control groups, respectively over the 12-month study period. Meanwhile, the mobile health application programme also improved participants' exercise and smoking cessation behaviour. CONCLUSIONS: The mobile health smartphone application to support self-management programmes was effective in improving health-related quality of life and self-management behaviour in patients with COPD. TRIAL REGISTRATION: This study was registered in Chinese clinicaltrials.gov.

Latent class analysis and longitudinal development trajectory study of psychological distress in patients with stroke: a study protocol.

Background: Psychological distress affects the treatment and rehabilitation of patients with stroke, affects their long-term functional exercise and quality of life, and increases the risk of stroke recurrence and even death. This is a multi-dimensional and multi-level mental health problem and a dynamic process variable that shows a dynamic development trend with time. However, previous studies have been insufficient to deeply study the change mechanism of psychological distress, and there remains a lack of forward-looking longitudinal studies to analyze its change trajectory. This study aimed to investigate potential categories and how psychological distress changes over time and to examine conversion probability in these transformation processes. Methods: This prospective longitudinal mixed-method study investigated the potential categories and change trajectories of distress in patients with stroke. A total of 492 participants from three hospitals were recruited for quantitative analysis. Latent class analysis and latent transition analysis (LCA/LTA) were used to identify meaningful subgroups, transitions between those classes across time, and baseline demographic features that help predict and design tailored interventions. Discussion: A comprehensive understanding of the potential category and transformation processes of psychological distress over time, including the impact of the sense of demographic data on the role of shame and loneliness, can lead to the development of psychological distress treatment tailored to the unique needs of patients with stroke. Thus, this study can promote more effective and successful treatment outcomes, reduce the stigma surrounding disease issues among patients, and encourage them to use psychological consultation.

Status and influencing factors of undergraduate midwifery students' core competencies: A cross sectional study.

INTRODUCTION: Midwifery undergraduate students' core competencies directly affect the quality of midwifery services and overall quality of midwifery teams. However, limited research has explored the core competencies of undergraduate midwifery students in China. OBJECTIVES: This study aimed to describe the level of core competencies among undergraduate midwifery students in China and investigated possible associated factors. DESIGN: This was a cross-sectional descriptive study. SETTINGS AND PARTICIPANTS: The study population comprised third- and fourth-year undergraduate midwifery students at Zunyi Medical University in Guizhou Province in southwest China (n = 207, response rate 94.1 %). METHODS: Data were collected using an online survey that included a general information questionnaire, a general self-efficacy scale, and a core competencies self-assessment questionnaire for midwifery undergraduates. Data were statistically analyzed using SPSS 18.0. Pearson's correlation analysis was used to explore the relationship between self-efficacy and the core competencies. Stepwise multiple linear regression was used to explore influencing factors. RESULTS: The total score for the core competencies among midwifery undergraduates was 118.46 (8.97). The highest mean score was for professional attitude, 4.21 (0.43), and the lowest was for professional skills, 3.70 (0.30). We found a positive association between self-efficacy and core competencies (r = 0.251, P < 0.01). Grade (ß = 0.261, P < 0.01), scholarship (ß = -0.231, P < 0.01), work intention (ß = -0.135, P < 0.05), and self-efficacy (ß = 0.207, P < 0.01) significantly influenced undergraduate midwifery students' core competencies (R2 = 0.189, adjusted R2 = 0.173, F = 11.775, P < 0.001). CONCLUSIONS: Undergraduate midwifery students showed moderate core competencies, indicating room for improvement. Fourth-grade midwifery students had higher core competencies than third-grade students. Additionally, scholarship, work intention, and self-efficacy were significant influencing factors. Midwifery educators should examine students' core competencies and explore targeted interventions, particularly for those with low self-efficacy and core competencies.

The effect of anxiety and depression on the health-related quality of life of severe acute pancreatitis survivors: structural equation modeling approach.

Background: Understanding the relationship between anxiety, depression and health-related quality of life (HRQOL) provides important clues to alleviate anxiety, depression and improve HRQOL in patients after severe acute pancreatitis (SAP). The aim of this study was to examine the effects of anxiety and depression on HRQOL in post-SAP patients using structural equation modeling. Methods: A cross-sectional study design was used and 134 patients with SAP from the Affiliated Hospital of Zunyi Medical University were recruited. Data collected included demographic and clinical characteristics, the English Standard Short Form 36 (SF-36) Health Survey, The Self-rating Anxiety Scale (SAS) and The Self-rating Depression Scale (SDS). Structural equation modeling analysis was conducted using the AMOS 24.0 program. Results: The mean of HRQOL score was 49.42 (SD = 23.01). The prevalence of anxiety and depression in post-SAP patients was 33.6 and 34.3%, respectively. Both anxiety and depression have a direct negative impact on HRQOL (ß = -0.360, p < 0.001; ß = -0.202, p = 0.034). Anxiety also negatively affects HRQOL indirectly through depression (ß = -0.118, p = 0.043). The analysis of the covariance structure revealed that the resulting model had a reasonable goodness of fit. Conclusion: Anxiety and depression reduce the quality of life of SAP patients during recovery. Regular assessment and management of the anxiety and depression status of SAP patients is necessary and will help them improve their HRQOL more effectively.

Assessment of health literacy in patients with polycystic ovary syndrome and its relationship with health behaviours: a cross-sectional study.

OBJECTIVE: Healthy behaviours are important for people with polycystic ovary syndrome (PCOS). However, adopting and maintaining lifestyle changes involves a complex set of behavioural changes, which most patients fail to adhere to. The current research on health literacy, which includes individual and social skills needed in health self-management, in patients with PCOS is limited. Therefore, this study aimed to explore health literacy, health behaviours and the relationship between the two to expand research on PCOS management. DESIGN: Cross-sectional study. SETTING: A gynaecological outpatient clinic. PARTICIPANTS: A total of 286 patients with PCOS (≥18 years, diagnosed via Rotterdam criteria, able to self-report and give informed consent) were recruited from March to June 2022. OUTCOME MEASURES: Health literacy and health behaviours in patients with PCOS were assessed using the Health Literacy Management Scale and the Health Promoting Lifestyle Profile (Chinese version). Multiple logistic regression was used to analyse the factors influencing health literacy, and linear regression to assess the relationship between health literacy and health behaviours, with an F-significance test; p<0.05 was considered statistically significant. RESULTS: Overall, most patients with PCOS had insufficient health literacy (55.9%). The influencing factors of health literacy in patients with PCOS were age (ß=0.154, p<0.05), Body Mass Index (ß=-0.140, p<0.05), income (ß=1.228, p<0.05), duration of illness (ß=0.110, p<0.05) and educational level (ß=1.552, p<0.05). Moreover, 40.6% of patients with poor health behaviours, and 31.8% with moderate health behaviours, needed to improve their health behaviours. Health literacy was positively correlated with health behaviours in patients with PCOS (r=0.473, p<0.05). CONCLUSION: The positive correlation between health literacy and health behaviour in patients with PCOS indicates that promoting health literacy in future treatment and management of PCOS may be beneficial.

The effects of a mobile phone-based psychological intervention program on stress, anxiety and self-efficacy among undergraduate nursing students during clinical practice: A randomized controlled trial.

BACKGROUND: Nursing students experience high levels of stress and anxiety during clinical practice. Although several psychological intervention programs have been developed to alleviate their distress, studies on the effects of mobile phone-based programs are limited. OBJECTIVE: This study examined the effects of a mobile phone-based psychological intervention program on stress, anxiety, and self-efficacy among undergraduate nursing students during clinical practice. METHODS: A randomized, controlled trial was conducted among 114 nursing students for 8 weeks. The intervention group received mobile phone-based psychological intervention (3 modules: support, education, and reflection), while the control group received a conventional face-to-face intervention and advice from clinical educators. Data on stress (Chinese version of the Stressors in Nursing Students Scale), anxiety (State Anxiety Scale), and self-efficacy (General Self-efficacy Scale) were collected at baseline, immediately post-intervention, and 6 months post-intervention. Repeated-measures analysis of variance was used analyze the intervention effects. RESULTS: Significant improvements in stress, anxiety, and self-efficacy (all P<0.05), and significant time and time-group interaction (all P<0.05) were observed in the intervention group than in the control group. CONCLUSIONS: Mobile phone-based psychological intervention programs alleviate stress and anxiety, and improve self-efficacy among nursing students during clinical practice.

Effects of multidimensional life management on healthy behavior in polycystic ovary syndrome patients: A randomized controlled trial.

Objective: To confirm the effects of a transtheoretical model (TTM) based on multidimensional life management on healthy behavior in patients with polycystic ovary syndrome (PCOS). Methods: In total, eighty eligible patients were recruited from March 2021 to June 2021 and randomly assigned to either the intervention (n = 40) or control (n = 40) groups. Outcome measures include health-promoting behavior, self-efficacy, anthropometrics, and the number of unplanned outpatient admissions. Data were collected at baseline, 3, and 6 months after the intervention. The chi-square test, rank-sum test, t-test, and repeated measurement analysis of variance (ANOVA) were used to analyze the data. Results: In total, sixty-six participants completed the study: 35 participants in the intervention group and 31 participants in the control group. After 6 months of intervention, the healthy behavior level of patients with PCOS increased from moderate [health-promoting lifestyle profile (HPLP)-II score of 105.37 ± 12.57] to good (156.94 ± 19.36) in the intervention group; and there was no change observed in the control group. In addition, the total self-efficacy score (p < 0.001), PCOS-related unplanned outpatient admissions (p = 0.008), waist circumference (WC) (p = 0.016), and body mass index (BMI) (p = 0.011) were found to have a significant difference in the intervention group at 6 months. Meanwhile, repeated measures analysis of variance showed a significantly greater improvement in health-promoting behavior and self-efficacy over time in the intervention group than in the control group (p < 0.001). Conclusion: The transtheoretical model based on multidimensional life management positively affected healthy behavior, self-efficacy, the number of unplanned outpatient admissions, and anthropometrics in patients with PCOS. Clinical Trial Registration: www.chictr.org.cn, ChiCTR2000034572.

Factors affecting the adoption of health-promoting behaviours in patients with polycystic ovary syndrome: a cross-sectional study.

OBJECTIVE: This study aimed to investigate health-promoting lifestyle status and associated risk factors in patients with polycystic ovary syndrome (PCOS). DESIGN: Cross-sectional study. SETTING: This study was conducted at a tertiary hospital in Guizhou, China from December 2020 to June 2021. PARTICIPANTS: A total of 366 participants (18-45 years) diagnosed with PCOS were recruited from the outpatient departments. MEASURES: Sociodemographic characteristics were collected, and health-promoting behaviours were measured using the Health-Promoting Lifestyle Profile scale. Anxiety status was measured using the Zung's Self-Rating Anxiety Scale, depression status using the Zung's Self-Rating Depression Scale and self-efficacy using the Managing Chronic Disease 6-Item Scale. Multiple stepwise linear regression was conducted to assess the risk factors associated with the health-promoting behaviours of the study participants. RESULTS: The participants had a poor health-promoting behaviours (88.54±17.44). The highest score in all dimensions was spiritual growth (16.68±4.98), while physical activity (12.71±2.68) was the lowest. Multiple regression analysis revealed that the main factors influencing the development and maintenance of health-promoting behaviours among participants were education (B=10.788, p<0.001), depression (B=-0.377, p<0.001), anxiety (B=-0.333, p<0.001) and self-efficacy (B=0.938, p=0.002). The model showed 74.40% variance shared between the dependent and independent variables (R2=74.40, F=264.633, p<0.001). CONCLUSION: Health-promoting behaviours are minimal among patients with PCOS, and improving negative emotions and enhancing behavioural awareness and self-efficacy are necessary to increase the adoption of health-promoting behaviours among patients with PCOS. TRIAL REGISTRATION NUMBER: ChiCTR2000034572.

Development and validation of a prediction model for depression in adolescents with polycystic ovary syndrome: A study protocol.

Introduction: The high prevalence and severity of depression in adolescents with polycystic ovary syndrome (PCOS) is a critical health threat that must be taken seriously. The identification of high-risk groups for depression in adolescents with PCOS is essential to preventing its development and improving its prognosis. At present, the routine screening of depression in adolescents with PCOS is mainly performed using scales, and there is no early identification method for high-risk groups of PCOS depression in adolescents. It is necessary to use a warning model to identify high-risk groups for depression with PCOS in adolescents. Methods and analysis: Model development and validation will be conducted using a retrospective study. The study will involve normal adolescent girls as the control group and adolescent PCOS patients as the experimental group. We will collect not only general factors such as individual susceptibility factors, biological factors, and psychosocial environmental factors of depression in adolescence, but will also examine the pathological factors, illness perception factors, diagnosis and treatment factors, and symptom-related factors of PCOS, as well as the outcome of depression. LASSO will be used to fit a multivariate warning model of depression risk. Data collected between January 2022 and August 2022 will be used to develop and validate the model internally, and data collected between September 2022 and December 2022 will be used for external validation. We will use the C-statistic to measure the model's discrimination, the calibration plot to measure the model's risk prediction ability for depression, and the nomogram to visualize the model. Discussion: The ability to calculate the absolute risk of depression outcomes in adolescents with PCOS would enable early and accurate predictions of depression risk among adolescents with PCOS, and provide the basis for the formulation of depression prevention and control strategies, which have important theoretical and practical implications. Trial registration number: [ChiCTR2100050123]; Pre-results.

Development and evaluation of a psychological adjustment communication system for adolescents with polycystic ovary syndrome at a high risk of depression: A mixed-method study protocol.

Background: Depression is a serious psychological disorder that causes substantial psychological and physical suffering in adolescents, contributes to over 50% of suicide attempts, and affects the health status and psychosocial functioning of 25% of the adult population. The prevalence of polycystic ovary syndrome (PCOS) in adolescents is 5.6∼11.04%, and the prevalence of depression in adolescents with PCOS is as high as 50-60%. Depression seriously affects the rehabilitation and quality of life of adolescents with PCOS. In this study, we present a protocol for a mixed-method study to develop and evaluate the effectiveness of a psychological adjustment communication system for reducing the prevalence of depression among adolescents with PCOS who are at a high risk of depression in China. This study utilizes social support theory to develop a mobile phone-based intervention for adolescents with PCOS at a high risk of depression. Methods: This sequential exploratory mixed-method study consists of four consecutive phases. In the first phase, we will review the literature to understand the disease experience and needs of adolescents with PCOS to construct an initial psychological adjustment communication system. In the second phase, researchers will interview patients and their parents using purposeful sampling methods and semi-structured interviews to appropriately modify the psychological adjustment communication system. In the third phase, the Delphi method will be used to improve the psychological adjustment communication system. The fourth phase will employ a quantitative approach using a before-and-after design to measure the effectiveness of the system. Discussion: The results of this study will indicate the effectiveness of the psychological adjustment communication system in adolescents with PCOS who are at a high risk of depression. Registration number: ChiCTR2100050123.

Prevalence of fatigue and associated factors among clinically stable patients with chronic obstructive pulmonary disease in Guizhou, China: A cross-sectional study.

INTRODUCTION: Fatigue is important, but ignored symptom among COPD patients. At present, there is very limited data are available for the prevalence of fatigue and its risk factors among COPD patients in China. OBJECTIVE: The purpose of this study is to determine the prevalence of fatigue and to investigate the factors associated with fatigue among clinically stable patients with COPD in China. METHODS: This is a cross-sectional study using a questionnaire to collect data on sociodemographic, related to COPD disease, and exercise habits. Multidimensional fatigue inventory (MFI-20) was used to assess the prevalence of fatigue. Independent samples t test, bivariate correlation, one-way ANOVA test, and test for several independent samples were used to compare the sociodemographic factors with MFI-20 scores of COPD patients. Multiple stepwise linear regression was performed to estimate influencing factors related to the MFI-20 of COPD patients. RESULTS: Among the participants, the prevalence of fatigue was 88.62%. Negative correlations were found between FEV1% and multidimensional fatigue (r = -0.40, p < 0.01), general fatigue (r = -0.20, p < 0.05), reduced activity (r = -0.20, p < 0.01), and physical fatigue (r = -0.10, p < 0.01). A multiple linear regression models revealed that age (p < 0.05), BMI (p < 0.05), FEV1 % (p < 0.01), exercise times (p < 0.01), and the times of hospitalization in the past 12 months (p < 0.05) were associated with multidimensional fatigue scores. CONCLUSIONS: The prevalence of fatigue is high among clinically stable patients with COPD. Keeping exercise, prevention obesity, and exacerbation should be an effective intervention strategy to reduce COPD-related fatigue.

Using deep-learning techniques for pulmonary-thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs.

PURPOSE: To evaluate the efficacy of a deep-learning model to segment the lung and thorax regions in pediatric chest X-rays (CXRs). Validating the diagnosis of bacterial or viral pneumonia could be improved after lung segmentation. MATERIALS AND METHODS: A clinical-pediatric CXR set including 1351 patients was proposed to develop a deep-learning model for the pulmonary-thoracic segmentations. Model performance was evaluated by Jaccard's similarity coefficient (JSC) and Dice's coefficient (DC). Two adult CXR sets were used to assess the model's generalizability. According to the pulmonary-thoracic ratio, Pearson's correlation coefficient and the Bland-Altman plot were generated to demonstrate the correlation and agreement between manual and automatic segmentations. The receiver operating characteristic curves and areas under the curve (AUCs) were used to compare the pneumonia classification performance based on the lung-extracted images with that based on the original images. RESULTS: The model achieved JSCs of 0.910 and 0.950, DCs of 0.948 and 0.974 for lung and thorax segmentations, respectively. Pearson's r = 0.96, P < .0001. In the Bland-Altman plot, the mean difference was 0.0025 with a 95% confidence interval of (-0.0451, 0.0501). For testing with two adult CXR sets, the JSCs were 0.903 and 0.888, respectively, while the DCs were 0.948 and 0.937, respectively. After lung segmentation, the AUC of a classifier to identify bacterial or viral pneumonia increased from 0.815 to 0.879. CONCLUSION: We built a pediatric CXR dataset and exploited a deep-learning model for accurate pulmonary-thoracic segmentations. Lung segmentation can notably improve the diagnosis of bacterial or viral pneumonia.