PURPOSE: This study was done to examine current status of women's health nursing practicum and identify necessary core nursing skills in this practicum area. Moreover, one syllabus and evaluation sheets for women's health nursing clinical practicum at one university were reviewed. METHODS: A survey design was used with 81 educators who were teaching maternity or women's health nursing and its practicum. RESULTS: Most clinical sites for practicum were university hospitals (43.0%), women's hospitals (32.7%), or general hospitals (17.3%); but the majority (77.8%) of educators expressed difficulty in finding appropriate practicum places. Common teaching and learning methods were clinical guides for practicum (44.6%), e-learning content (30.2%), and simulation (23.6%). Core nursing skills for this practicum included assessment of stages of labor, preparation of uterine-fetal monitoring devices and interpretation of results, monitoring uterus and fetal activity, and performing Leopold's maneuver. For postpartum care, the following were included; postpartum fundal massage, assessment of breast engorgement, fundus height, and episiotomy sites, inserting urinary catheter, and teaching the use of patient-controlled analgesia. CONCLUSION: To improve the quality of clinical practicum, development of a clear course syllabus, standardized clinical guidebook, and core nursing skills is required and should be shared with all relevant nurse educators.
Analgesia, Patient-Controlled ; Breast ; Clinical Competence ; Education ; Episiotomy ; Female ; Fetal Movement ; Hospitals, General ; Hospitals, University ; Infant, Newborn ; Learning ; Massage ; Maternal-Child Nursing ; Nursing* ; Postnatal Care ; Postpartum Period ; Pregnancy ; Urinary Catheters ; Uterus ; Women's Health*

Purpose: This study was performed to identify the prevalence of menstrual disorders in Korean women based on body mass index (BMI)and lifestyle factors, by utilizing the Korean National Health Insurance Database. Methods: A retrospective observational study designwas used for the secondary data analysis. Data of women aged 15 to 49 years who were diagnosed with menstrual disorders were extractedfrom The National Health Insurance Service-National Health Screening Cohort in Korea from 2009 to 2016. The age-standardizedprevalence rate of menstrual disorders was calculated using SAS version 9.4, and a Chi-square test and Cochran-Armitage test were performed. Results: In total, 2,219,445 cases were extracted from the database. The prevalence of menstrual disorders significantly increasedfrom 8.6% to 11.6% (Z=135.16, p for trend <.001) over the past eight years. In particular, it was higher in underweight womenthan in women with normal weight across all years (Z=-4.18~-14.72, p <.001). Moreover, statistically significant differences in the prevalenceof menstrual disorders were found to be associated with drinking and smoking in all years and with physical activity levels in part(p <.05~.001). Conclusion These findings present compelling evidence on the prevalence of menstrual disorders based on a national database.Since the prevalence of menstrual disorders has steadily increased and differs based on BMI and lifestyle factors, educational andclinical interventions are necessary to promote risk awareness and appropriate behavioral changes among Korean women.

Objectives: ：The purpose of this study was to analyze the factors that influencing mental health literacy. Methods: ：We obtained data on 2016 general population from the Korean Mental Health Literacy Survey (2021) conducted by Ministry of Health and Welfare. Multiple regression analysis was used to evaluate the associations between sociodemographic characteristics and the score of questionnaire items in Korean Mental Health Literacy Survey. Results: ：Among the factors, female (p<0.001), higher age (p=0.005), higher income level (p<0.001) were significantly correlated with higher score of questionnaire items. Awareness of mental health center & commu-nity addiction management center (p=0.002), awareness of mental health hotline service (p<0.001) were also significantly associated with higher response score. Conclusions ：The factors affecting mental health literacy could be considered when providing community mental health services.

Objective: We investigated the difference in sleep inertia between shift workers (SWs) and non-shift workers (NSWs) and the effects of depressive symptoms, sleepiness, insomnia, and chronotype on sleep inertia in SWs and NSWs. Methods: Altogether, 4,561 SWs (2,142 men and 2,419 women, aged 36.99±9.84 years) and 2,093 NSWs (999 men and 1,094 women, aged 37.80±9.73 years) participated in the current study. All participants completed the Sleep Inertia Questionnaire (SIQ), Epidemiological Studies Depression Scale (CESD), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), and Morningness–Eveningness Questionnaire (MEQ) through an online survey. Results: SWs reported higher SIQ scores than NSWs after controlling for CESD, ESS, ISI, or MEQ. The CESD, ESS, ISI, and MEQ predicted SIQ in both SWs and NSWs. The effects of CESD and MEQ on SIQ were stronger in SWs and NSWs, respectively. The indirect effects of CESD and MEQ on SIQ via ESS were significantly moderated by work schedules. Conclusion SWs showed higher sleep inertia than NSWs. The effect of chronotypes on sleep inertia was more prominent in NSWs than in SWs. However, the effect of depressive symptoms on sleep inertia was more prominent in SWs than in NSWs. Moreover, the effect of depressive symptoms or chronotypes on sleep inertia was mediated by sleepiness, and such indirect effects were significantly different among the participants stratified by work schedules.

Objective: We investigated the difference in sleep inertia between shift workers (SWs) and non-shift workers (NSWs) and the effects of depressive symptoms, sleepiness, insomnia, and chronotype on sleep inertia in SWs and NSWs. Methods: Altogether, 4,561 SWs (2,142 men and 2,419 women, aged 36.99±9.84 years) and 2,093 NSWs (999 men and 1,094 women, aged 37.80±9.73 years) participated in the current study. All participants completed the Sleep Inertia Questionnaire (SIQ), Epidemiological Studies Depression Scale (CESD), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), and Morningness–Eveningness Questionnaire (MEQ) through an online survey. Results: SWs reported higher SIQ scores than NSWs after controlling for CESD, ESS, ISI, or MEQ. The CESD, ESS, ISI, and MEQ predicted SIQ in both SWs and NSWs. The effects of CESD and MEQ on SIQ were stronger in SWs and NSWs, respectively. The indirect effects of CESD and MEQ on SIQ via ESS were significantly moderated by work schedules. Conclusion SWs showed higher sleep inertia than NSWs. The effect of chronotypes on sleep inertia was more prominent in NSWs than in SWs. However, the effect of depressive symptoms on sleep inertia was more prominent in SWs than in NSWs. Moreover, the effect of depressive symptoms or chronotypes on sleep inertia was mediated by sleepiness, and such indirect effects were significantly different among the participants stratified by work schedules.

Objective: We investigated the difference in sleep inertia between shift workers (SWs) and non-shift workers (NSWs) and the effects of depressive symptoms, sleepiness, insomnia, and chronotype on sleep inertia in SWs and NSWs. Methods: Altogether, 4,561 SWs (2,142 men and 2,419 women, aged 36.99±9.84 years) and 2,093 NSWs (999 men and 1,094 women, aged 37.80±9.73 years) participated in the current study. All participants completed the Sleep Inertia Questionnaire (SIQ), Epidemiological Studies Depression Scale (CESD), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), and Morningness–Eveningness Questionnaire (MEQ) through an online survey. Results: SWs reported higher SIQ scores than NSWs after controlling for CESD, ESS, ISI, or MEQ. The CESD, ESS, ISI, and MEQ predicted SIQ in both SWs and NSWs. The effects of CESD and MEQ on SIQ were stronger in SWs and NSWs, respectively. The indirect effects of CESD and MEQ on SIQ via ESS were significantly moderated by work schedules. Conclusion SWs showed higher sleep inertia than NSWs. The effect of chronotypes on sleep inertia was more prominent in NSWs than in SWs. However, the effect of depressive symptoms on sleep inertia was more prominent in SWs than in NSWs. Moreover, the effect of depressive symptoms or chronotypes on sleep inertia was mediated by sleepiness, and such indirect effects were significantly different among the participants stratified by work schedules.

Objective: We investigated the difference in sleep inertia between shift workers (SWs) and non-shift workers (NSWs) and the effects of depressive symptoms, sleepiness, insomnia, and chronotype on sleep inertia in SWs and NSWs. Methods: Altogether, 4,561 SWs (2,142 men and 2,419 women, aged 36.99±9.84 years) and 2,093 NSWs (999 men and 1,094 women, aged 37.80±9.73 years) participated in the current study. All participants completed the Sleep Inertia Questionnaire (SIQ), Epidemiological Studies Depression Scale (CESD), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), and Morningness–Eveningness Questionnaire (MEQ) through an online survey. Results: SWs reported higher SIQ scores than NSWs after controlling for CESD, ESS, ISI, or MEQ. The CESD, ESS, ISI, and MEQ predicted SIQ in both SWs and NSWs. The effects of CESD and MEQ on SIQ were stronger in SWs and NSWs, respectively. The indirect effects of CESD and MEQ on SIQ via ESS were significantly moderated by work schedules. Conclusion SWs showed higher sleep inertia than NSWs. The effect of chronotypes on sleep inertia was more prominent in NSWs than in SWs. However, the effect of depressive symptoms on sleep inertia was more prominent in SWs than in NSWs. Moreover, the effect of depressive symptoms or chronotypes on sleep inertia was mediated by sleepiness, and such indirect effects were significantly different among the participants stratified by work schedules.