Objectives This study aims to understand the current situation and multiple factors affecting the core competence specializing in the maternal, neonatal and under‐five nursing in China. Background Highly skilled nurses and midwives are essential worldwide for achieving the Sustainable Development Goals, especially in low‐ and middle‐income countries like China, due to the overwhelming COVID‐19 crisis. Method The 890 nurses and midwives from 12 hospitals were investigated in this cross‐sectional study, with two questionnaires: the sociodemographic information and competency inventory for the registered nurses. Results The participants reported a mean total score of 193.78 (±42.19) out of 220 and lowest in critical thinking and research ability (3.01 ± 0.82). The professional title, level, marital status, relationship quality, highest qualification, experience in specialist nurse training, participation in scientific research projects and publishing papers were the influencing factors (P < .05). Conclusions The respondents' core competence needs improvement, especially critical regarding thinking and research ability. In addition, marriage and good or excellent relationship quality are factors that can potentially improve competence. Implications for Nursing Management Targeted interventions for higher core nursing competence need to be implemented, especially focusing on nurses' marital status and emotional support from partners.
Background Despite extensive debates about the mental health impacts of the use of social networking sites (SNSs), including WeChat, the association and mechanisms between social interaction of WeChat use intensity and antenatal depression are unclear. Objective We aimed to test the mediating roles of upward social comparison on social interaction of WeChat and rumination in the association between social interaction of WeChat use intensity and antenatal depression. Methods A cross-sectional survey was conducted in four hospitals with the self-reported measures of social interaction of WeChat use intensity, upward social comparison on social interaction of WeChat, rumination, antenatal depression, and control variables. The mediation analysis was performed through Model 6 from the PROCESS macro 4.0 in SPSS 26. Results Results from 2661 participants showed that antenatal depression was unrelated to social interaction of WeChat use intensity (P=.54), but was significantly positively related to the attitude toward social interaction of WeChat (P=.01). The direct effect of attitude toward social interaction of WeChat use on antenatal depression was not statistically significant (β=–.03, P=.05). The results supported an indirect relationship between attitude toward social interaction of WeChat use and antenatal depression via (1) upward social comparison on social interaction of WeChat (indirect effect value=0.04, 95% CI 0.03 to 0.06); (2) rumination (indirect effect value=–0.02, 95% CI –0.04 to –0.01); and (3) upward social comparison on social interaction of WeChat and rumination in sequence (indirect effect value=0.07, 95% CI 0.06 to 0.08). Conclusions Our findings highlight the necessity of focusing on attitudes toward SNS use, and the importance of upward social comparison and rumination in understanding the effect of SNS use on antenatal depression.
Most recently, Kan Yang et al. proposed an attribute-keyword based encryption scheme for data publish-subscribe service(AKPS), which is highly useful for cloud storage scenario. Unfortunately, we discover that there is a flaw in the security proof of indistinguishability of the tag and trapdoor against chosen keyword attack under the Bilinear Diffie-Hellman (BDH) assumption. As the security proof is a key component for a cryptographic scheme, based on the Decisional Diffie-Hellman (DDH) assumption, we improve the security proof method and give a new security proof of the AKPS scheme for indistinguishability of the tag and trapdoor in our proposal, which is more rigorous than the original one. Furthermore, we also demonstrate that the AKPS scheme is secure against data Replayable Chosen Ciphertext Attack (RCCA).
BACKGROUND Though the past years have witnessed debates about the effects of social networking sites (SNS) (including WeChat) use on mental health, the association and mechanisms between intensity of WeChat use and Antenatal Depression (AND) are unclear. OBJECTIVE We aimed to test the mediating roles of upward social comparison and rumination in association between intensity of WeChat use and AND. METHODS A cross-sectional survey was conducted in four hospitals with the self-reported measures of intensity of WeChat use, upward social comparison, rumination and AND. The SPSS was used to analyze the data. RESULTS Results from 2, 661 participants showed AND was unrelated to intensity of WeChat use (P = .54), but positively related to attitude to WeChat with statistical significance (P = .01). Attitude to WeChat couldn’t affect AND directly, but through three pathways: the independent mediating roles of upward social comparison and rumination, and the chain mediating role of both upward social comparison and rumination. The indirect effect is 0.04, -0.02 and 0.07, respectively. CONCLUSIONS Our findings highlight the necessity of focusing on attitude to SNS, and the importance of upward social comparison and rumination in understanding the effect of SNS use on AND.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.