Factors influencing menstrual regularity among female workers: a cross-sectional analysis study.

BACKGROUND: Regularity of menstrual cycles is an important indicator of women's health and fertility, and female workers are exposed to several factors, such as sleep disorders, stress, and shift work, that affect their menstrual regularity. This makes it necessary to comprehensively identify the determinants of menstrual regularity. Therefore, this study identified the factors affecting menstrual regularity among female workers from physiological, psychological, and situational dimensions based on the theory of unpleasant symptoms. METHODS: This was a secondary analysis of the 2010-2012 Korea National Health and Nutrition Examination Survey and utilized the data of 2418 female workers. Based on the theory of unpleasant symptoms, physiological factors included age, age at menarche, childbirth experience, body mass index, and sleep duration. Psychological factors included stress level, depressive mood, and suicidal ideation. Situational factors included education level, household income, consumption of alcohol, engagement in smoking, and work schedule. The χ²-test and hierarchical logistic regression analysis were performed, reflecting the complex sample design. RESULTS: Age at menarche, childbirth experience, and body mass index among physiological factors and education level and work schedule among situational factors were found to be related to menstrual regularity. A higher risk of menstrual irregularities was found among those who had given birth (versus those who had not), had a high age at menarche (versus those with a low age at menarche), were obese (versus those who had a normal body mass index), had elementary school-level or lesser educational achievements (versus those with college graduate-level or higher educational achievements), and who had a shift work schedule (versus those with a fixed schedule). CONCLUSIONS: Intervention is needed for female workers who have these risk factors, and special attention must be paid to female workers who have a shift work schedule. Additionally, since body mass index can be controlled, intervention concerning body mass index is necessary to reduce menstrual irregularity.

The Influence of Gender Equity in Nursing Education Programs on Nurse Job Satisfaction.

(1) Background: One of the strategies to overcome the shortage of nurses is to minimize gender inequity in nursing culture, starting from the undergraduate education program. Although the number of men entering the nursing profession has increased over the years, the portion of male nurses remains low, particularly in Asian countries. Only a few studies have been conducted to identify gender inequity in nursing, and most of these studies used qualitative study design. Therefore, it is necessary to quantitatively identify gender equity in nursing education and the influence it has on nurse job satisfaction. (2) Methods: A total of 165 male nurses participated in this study. Validated questionnaires were used to assess gender equity in nursing education programs, nurse job satisfaction, nurse job esteem, and nursing professional pride. (3) Results: The mean score of gender equity in nursing programs was 62.6, showing a positive correlation with nurse job satisfaction, nurse job esteem, and nursing professional pride. Gender equity positively predicted nurse job esteem. (4) Conclusions: The gender equity in nursing education programs has positive predictive effects on the factors that influence male nurse job satisfaction. In order to increase nurse job retention, educators should incorporate strategies to minimize gender inequity.

Determination of HIF-1α degradation pathways via modulation of the propionyl mark.

The hypoxia-inducible factor-1α (HIF-1α) is a key regulator of hypoxic stress under physiological and pathological conditions. HIF-1α protein stability is tightly regulated by the ubiquitin-proteasome system (UPS) and autophagy in normoxia, hypoxia, and the tumor environment to mediate the hypoxic response. However, the mechanisms of how the UPS and autophagy interplay for HIF-1α proteostasis remain unclear. Here, we found a HIF-1α species propionylated at lysine (K) 709 by p300/CREB binding protein (CBP). HIF-1α stability and the choice of degradation pathway were affected by HIF-1α propionylation. K709-propionylation prevented HIF-1α from degradation through the UPS, while activated chaperon-mediated autophagy (CMA) induced the degradation of propionylated and nonpropionylated HIF-1α. CMA contributed to HIF-1α degradation in both normoxia and hypoxia. Furthermore, the pan-cancer analysis showed that CMA had a significant positive correlation with the hypoxic signatures, whereas SIRT1, responsible for K709-depropionylation correlated negatively with them. Altogether, our results revealed a novel mechanism of HIF-1α distribution into two different degradation pathways. [BMB Reports 2023; 56(4): 252-257].

Factors Related to Sexual Intercourse Among Korean Middle and High School Students.

Background: Social interest in sexual intercourse among teenagers is increasing in Korea. This study aimed to identify factors related to sexual intercourse among adolescents. Methods: This is a secondary analysis study using data from the 2020 Korea Youth Risk Behavior Survey, with information regarding 54,948 middle school and high school students in Korea having been analyzed. Demographics, health behavior, and mental health characteristics were included. Data evaluation involved chi-square test and binary multivariable logistic regression analysis. Results: For middle school students, sexual intercourse was related to their housing type [Odds Ratio (OR) = 10.698], smoking (OR = 5.165) and drinking (OR = 2.229) experience, suicide attempt (OR = 1.920), gender (OR = 1.632), loneliness (OR = 1.501), sadness and despair (OR = 1.493), year level (OR = 1.457), happiness (OR = 0.772), sleep status (OR = 0.716), economic status (OR = 0.705). For high school students, sexual intercourse was related to their smoking experience (OR = 4.746), housing type (OR = 3.661), drinking experience (OR = 2.840), drug use (OR = 2.511), suicide attempt (OR = 2.071), year level (OR = 1.989), sadness and despair (OR = 1.506), gender (OR = 1.429), suicide plan (OR = 1.402), loneliness (OR = 1.270), academic performance (OR = 1.165), happiness (OR = 0.865), subjective health status (OR = 0.814), and economic status (OR = 0.727). However, sleep status was statistically significant for middle school students, but not for high school students. Academic performance, drug use, suicide plan, and subjective health status were statistically significant in high school students, but not in middle school students. Conclusion: A program that can directly mediate these factors must be prepared. When conducting sex education for adolescents, mental health-related factors must also be considered.

Behavioral Factors Related to Sleep Quality and Duration in Adults.

BACKGROUND: The purpose of this study was to measure the sleep quality and duration in healthy adults and to identify any influencing factors. METHODS: This study was a descriptive research investigation that evaluated 240 healthy adults at least 19 years of age. The data were assessed using the following self-administered questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the Beck Depression Inventory, the State-Trait Anxiety Inventory-Korean YZ, and the Fatigue Severity Scale. RESULTS: The PSQI global score was 5.69 ± 3.23, and 59.6% of the participants were classified as having poor quality sleep (PSQI score > 5). The significant risk factors for poor sleep quality were female gender (p = 0.021), number of comorbid conditions (p = 0.003), depression (p < 0.001), fatigue (p < 0.001), and anxiety (p < 0.001). Stepwise multiple regression analyses showed that significant predictors of poor sleep quality were depression (p < 0.001) and fatigue (p < 0.001). Participants slept an average of 6.16 ± 1.36 hours a night. A shorter sleep duration was correlated with older age (p = 0.010), a higher body mass index (BMI) (p = 0.026), a greater depression score (p = 0.002), a higher fatigue score (p = 0.028), and lower sleep quality (p < 0.001). In addition, stepwise multiple regression analyses revealed that factors significantly associated with sleep duration were depression (p = 0.002) and BMI (p = 0.034). CONCLUSION: The number of comorbid conditions and the presence of depression and fatigue were risk factors for both low sleep quality and short sleep duration. Therefore, to improve sleep quality, there is a need for comprehensive interventional programs to manage these and any other factors that disturb sleep.