The present survey investigated the association between resilience, burnout and psychological distress among Chinese female nurses. A total of 366 female nurses were enrolled in our study. A series of self-reported questionnaires that dispose of the following constructs: psychological distress, burnout, and resilience were estimated. The hierarchical linear regression models were used to evaluate the mediating effect of resilience on the relationship between burnout and psychological distress. Results of the survey showed 85.5% nurses experienced psychological distress. Resilience was negatively related to psychological distress and burnout whereas burnout was positively associated with psychological distress. Mediation analysis revealed that resilience could partially mediate the relationship between the dimensions of emotional exhaustion, depersonalization, and psychological distress. This study highlights the mediator of resilience between burnout and psychological distress of female nurses. As such, interventions that attend to resilience training may be the focus for future clinical and research endeavors.

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.

Sleep disturbance is often described as sleeping poorly, difficulty falling asleep and maintaining sleep, and waking early. Currently, most studies examining sleep disturbance have focused on negative psychological variables; however, few studies have combined both negative and positive psychosocial factors to assess sleep. The aim of this study was to investigate the prevalence of sleep disturbance and psychosocial correlates in Chinese community-dwelling adults. A total of 1471 adults, between 18 and 60 years old, from eight selected community settings in Jinan, China, were surveyed using the Pittsburgh Sleep Quality Index, Perceived Stress Scale, 10-item Connor-Davidson Resilience Scale and Multidimensional Scale of Perceived Social Support and provided sociodemographic information. We found that the prevalence of sleep disturbance was 33.9%. After adjusting for age, employment status and physical co-morbidity, perceived stress was significantly associated with sleep disturbance [odds ratio (OR) = 1.14, p < 0.001], while resilience and social support were associated with a low likelihood of sleep disturbance (OR = 0.90, p < 0.001; OR = 0.97, p < 0.001). Furthermore, regression analysis showed that the interaction between perceived stress and resilience was significant (p < 0.05). Resilience buffered the negative impact of perceived stress on sleep disturbance. Given the close relationship between sleep disturbance and psychosocial correlates, the development of effective intervention programmes to improve sleep quality in this population should be considered. Copyright © 2015 John Wiley & Sons, Ltd.

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Background Protaetia brevitarsis , commonly known as the white-spotted flower chafer, is an important Scarabaeidae insect that is distributed in most Asian countries. Recently, research on the insect's harmfulness to crops, usefulness in agricultural waste utilization, edibility, medicinal value, and usability in insect immunology has provided sufficient impetus to demonstrate the need for a detailed study of its biology. Herein, we sequenced the whole genome of this species to improve our understanding and study of P. brevitarsis . Findings We developed a highly reliable genome resource for P. brevitarsis (Lewis, 1879; Coleoptera: Cetoniinae) using Illumina and PacBio sequencing platforms. A total of 135.75 gigabases (Gb) was generated, providing 150-fold coverage based on the 810-megabases (Mb) estimated genome size. The assembled P. brevitarsis genome was 751 Mb (including the scaffolds longer than 2 kilobases (kb)) with 327 scaffolds, and the N50 length of the assembly was 2.94 Mb. A total of 34,110 (22,229 in scaffolds and 11,881 located in alleles) genes were identified using Evidence Modeler, which was based on the gene prediction results obtained from 3 different methods ( ab initio , RNA sequencing based, and known gene based). Conclusions We assembled a high-quality P. brevitarsis genome, which will not only provide insight into the biology of the species but also provide a wealth of information that will inform researchers on the evolution, control, and utilization of P. brevitarsis .

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