Objective: This study is designed to measure the prevalence and severity of menopausal symptoms at different substages of perimenopause, as well as the relationships of these symptoms with social support and resilience in perimenopausal women. Methods: A convenience sample of 732 perimenopausal women was recruited from 3 communities of Jinan City, Shandong Province, China, between March 2015 and March 2017. The participants completed the Menopause Rating Scale, the 10-item Connor-Davidson Resilience Scale, the Perceived Social Support Scale, and a questionnaire regarding sociodemographic information. Results: Of all perimenopausal women surveyed, 76.4% reported menopausal symptoms. The prevalence and severity of menopausal symptoms differed significantly by different substages of perimenopause (all P < 0.001); the severity of menopausal symptoms was the least during the early menopausal transition substage and the most during the early postmenopausal substage. Multivariable-adjusted linear regression showed that family support (β = −0.169 to −0.240, P < 0.001) and resilience (β = −0.140 to −0.202, P < 0.001) were negatively associated with the total and subscale scores of the Menopause Rating Scale, and higher family support and resilience had fewer menopausal symptoms. Conclusions: The present findings suggest that menopausal symptoms vary across different substages of perimenopause. Furthermore, higher family support and resilience were significantly associated with fewer menopausal symptoms, which might be helpful for medical staff to identify these symptoms and seek appropriate preventive intervention.

ObjectiveAmbulance personnel who witness trauma experienced by patients have been reported to experience positive changes, known as vicarious posttraumatic growth (VPTG). We examined VPTG and its relationship with social support and resilience among ambulance personnel. MethodsThe sample (n=227) was recruited from six emergency centers in China. The measures included the Posttraumatic Growth Inventory (PTGI), the Social Support Rating Scale (SSRS), and the 10-item Connor-Davidson Resilience Scale (CD-RISC-10). Structure Equation Modeling (SEM) and the bootstrapping procedure were used to examine indirect effects. ResultsThe participants’ mean score for VPTG was 68.96 (SD=15.51). Social support had significant direct effects on resilience (β=0.51, p<0.001) and VPTG (β=0.25, p=0.001), and resilience (β=0.58, p<0.001) had a significant direct effect on VPTG. Furthermore, social support had a significant indirect effect (0.51×0.58=0.30, p<0.001) on VPTG through resilience. ConclusionAlthough the nature of the work of ambulance personnel is not expected to change, the negative effects of the trauma they encounter can be reduced by providing them with more support resources and interventions to foster their resilience, which in turn, promote VPTG.

Objective— Short and long sleep duration are associated with increased risk of clinical cardiovascular events, but the association between sleep duration and subclinical cardiovascular disease is not well established. We examined the association between sleep duration and sleep quality with coronary artery calcification (CAC) and with brachial–ankle pulse wave velocity (PWV) in a large sample of young and middle-aged asymptomatic adults. Approach and Results— We conducted a cross-sectional study of adult men and women who underwent a health checkup examination, including assessment of sleep duration and quality and coupled with either CAC (n=29 203) or brachial–ankle PWV (n=18 106). The multivariate-adjusted CAC score ratios (95% confidence interval) comparing sleep durations of ≤5, 6, 8, and ≥9 hours with 7 hours of sleep were 1.50 (1.17–1.93), 1.34 (1.10–1.63), 1.37 (0.99–1.89), and 1.72 (0.90–3.28), respectively ( P for quadratic trend=0.002). The corresponding average differences in brachial–ankle PWV were 6.7 (0.75–12.6), 2.9 (−1.7 to 7.4), 10.5 (4.5–16.5), and 9.6 (−0.7 to 19.8) cm/s, respectively ( P for quadratic trend=0.019). Poor subjective sleep quality was associated with CAC in women but not in men, whereas the association between poor subjective sleep quality and brachial–ankle PWV was stronger in men than in women. Conclusions— In this large study of apparently healthy men and women, extreme sleep duration and poor subjective sleep quality were associated with increased prevalence of CAC and higher PWV. Our results underscore the importance of an adequate quantity and quality of sleep to maintain cardiovascular health.

The present study aimed to examine the potential moderating role of personality traits in the psychological mechanisms by which mindfulness can lead to better sleep quality. A total of 172 oncology nurses participated in this study, and completed self-reported measures, including the Mindful Attention Awareness Scale (MAAS), Pittsburgh Sleep Quality Index (PSQI), and 44-item Big Five Inventory (BFI-44). Results showed that mindfulness was correlated with the global PSQI score (r = -0.281, p < 0.01).Trait extraversion and neuroticism moderated the mindfulness-sleep relationship. The simple slope analysis indicated that the negative relationship between mindfulness and the global PSQI score was only significant at higher levels of extraversion (β = -0.419, p < 0.001) and lower levels of neuroticism (β = -0.344, p = 0.001). Additionally, the Johnson-Neyman technique revealed that, within a specific region (extraversion values above 21.93 and/or neuroticism values below 23.78), mindfulness was significantly associated with the global PSQI score; beyond the value regions, the significant association was lost. It suggests that mindfulness might play a protective role against sleep disturbance only among certain oncology nurses. The findings are valuable for identifying those who are more vulnerable to sleep dysfunction and may aid in targeted intervention planning.

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Objective: Many studies have focused on the severity and prevalence of menopausal symptoms among middle-aged women, which are limited by heterogeneity and diversity of subtypes. Subtyping facilitates the adaptation to prevention and clinical intervention strategies that target women. To determine the existence of significant subgroups of women with similar menopausal symptoms, a person-centered approach was used to identify potential profiles of women during the menopausal transition. In addition, we aimed to examine the association between latent subtypes and individual factors. Methods: This cross-sectional study included 797 middle-aged women, aged 40 to 60 years, who were recruited from Shandong Province, China, between December 2017 and August 2018. We identified the subtypes in menopausal symptoms by performing a latent class analysis according to the self-reported Menopause Rating Scale and evaluated the robustness of our identified subtypes using a sensitivity analysis. Multinomial logistic regression was performed to explore the association between emergent latent subtypes and sociodemographic, clinical, and psychosocial characteristics. Results: The mean age of participants was 49.83 ± 5.05 years. (1) Four potential classes were identified in middle-aged women: “severe symptoms” (14.9%), “dominant sleep-emotion symptoms” (31.4%), “physical/mental exhaustion symptoms” (32.5%), and “no symptoms” (21.2%). The four classes were also verified using a sensitivity analysis according to age and menopause status subgroups, which revealed the robust subtypes of menopausal symptoms. (2) The odds ratio of neuroticism, chronic diseases, and gynecological diseases were significantly higher for the “severe symptoms,” “dominant sleep-emotion symptoms,” and “physical/mental exhaustion symptoms” classes, compared to the “no symptoms” class, while the odds ratio of mindfulness and social support were lower. Conclusions: A person-centered approach for middle-aged women could address the unmet need to understand the heterogeneity of menopausal symptoms. Subtyping facilitates the identification of the potential causes of menopausal symptoms and the development of personalized interventions. Video Summary: http://links.lww.com/MENO/A830.

Menopausal syndrome, which is a common and on-going problem among women during the menopausal transition, has negative effects on their mental health, body function, social life, and sense of well-being. [1][2][3] Menopausal syndrome is characterized by a variety of aspects, including somatic (e.g., vasomotor symptoms, insomnia, bone and joint pain), psychological (e.g., irritability, anxiety, memory loss), and urogenital (e.g., sexual problems, vaginal dryness) symptoms. 3 The growing concern for middle-aged women's menopausal syndrome has led to a large number of studies exploring effective strategies to manage these symptoms, and to improve the health and well-being in this group.Previous studies have examined the severity and prevalence of menopausal symptoms using measurements with summed item scores and/or individual item score. 4,5 However, none of these studies focused on the inner structure of menopausal syndrome of middle-aged women, including the central and bridge symptoms.Studies have looked at the associations between different menopausal symptoms. For example, hot flashes were significantly associated with vaginal dryness, where they were the most important and distressing symptoms among middle-aged women. 6 Studies

Background: The wellbeing of college students is an important concern for public health, and may have associations with insufficient physical activity and psychological distress. This study aimed to identify the latent classes of wellbeing based on the PERMA (i.e., positive emotions, engagement, relationships, meaning, and accomplishments) wellbeing framework, and to explore their associations with levels of physical activity and psychological distress. Methods: A cross-sectional online survey was conducted. A latent profile analysis was performed to characterize the different classes of wellbeing of nursing college students. Results: A group of 1741 nursing college students in China completed the study. Three wellbeing classes were identified in the final model (i.e., low-level wellbeing, moderate-level wellbeing, and high-level wellbeing). Significant differences were found between the three classes in terms of gender (p = 0.002) and year of study (p = 0.038). Low levels of physical activity participation were significantly associated with lower odds of being in the high-level wellbeing class compared with the moderate-level wellbeing class (OR = 1.398, 95%CI [1.023, 1.910], p = 0.035). Lower levels of psychological distress were also associated with greater wellbeing among the three wellbeing classes (p < 0.05). Conclusions: Effective strategies are needed to increase college students’ physical activity participation and decrease the severity of psychological distress to improve their health and wellbeing in China.