Childhood,families and the Internet: a qualitative approach on health assets

ObjectiveTo explore the views of the Internet in childhood, identifying both health assets and risks.MethodA qualitative study was performed using 14 focus groups, eight of which comprised boys and girls, four of which comprised parents and two of which were mixed (children and parents) in primary schools in urban and rural settings in Andalusia (Spain). Teachers in these schools were also asked to complete an online questionnaire using LimeSurvey. This study involved 114 individuals: 64 pupils (33 girls and 31 boys), 28 parents (18 mothers and 10 fathers), and 22 teachers (14 women and 8 men). Analysis of manifest content and underlying meanings was carried out. QSR NVivo 9 software was used to facilitate analysis and make it systematic.ResultsOur findings show how the differences in the way parents and children understand health and wellbeing affect the way they discuss the Internet and health. The discussion of results looks at the implications of computer literacy for public health and wellbeing, particularly with regard to health assets.ConclusionsParents and children understand the contribution of the Internet to health and wellbeing differently. Whilst parents emphasize the risks (unsafe environment, relationships and quality of information, social networks, physical problems and addiction), the children emphasize the assets offered by the Internet.     

互联网形势下医院离退休干部管理工作探索

当前我国科技技术进一步提升,国民生活水平也在不断地进步,对于医院离退休干部管理服务的要求也越来越高。对于医院的工作来说,处理好医院的退离休老干部是一项十分重要的工作,所以医院工作管理人员需要提高对于离退休老干部管理工作的重视。而在传统意义下医院离退休干部的管理服务,存在着较多的问题,而当前在互联网的形势下却能够实现更加具有科学化、合理化的服务。通过创新服务理念,对于管理方式进行改革,可以有效地改善当前对于医院离退休干部的管理服务水平,青年团员可以自行组成相应的志愿者,加强对于退休老人的关心,了解老干部在生活以及学习中出现的问题,并且采取有效的措施进行解决。本文通过以阐述我国当前离退休干部管理工作的现状作为切入点,进行分析探究,进一步提出互联网模式下提高我国医院离退休干部管理的对应措施。     

Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic

The coronavirus disease 2019 (COVID-19) has currently caused the mortality of millions of people around the world. Aside from the direct mortality from the COVID-19, the indirect effects of the pandemic have also led to an increase in the mortality rate of other non-COVID patients. Evidence indicates that novel COVID-19 pandemic has caused an inflation in acute cardiovascular mortality, which did not relate to COVID-19 infection. It has in fact increased the risk of death in cardiovascular disease (CVD) patients. For this purpose, it is dramatically inevitable to monitor CVD patients’ vital signs and to detect abnormal events before the occurrence of any critical conditions resulted in death. Internet of things (IoT) and health monitoring sensors have improved the medical care systems by enabling latency-sensitive surveillance and computing of large amounts of patients’ data. The major challenge being faced currently in this problem is its limited scalability and late detection of cardiovascular events in IoT-based computing environments. To this end, this paper proposes a novel framework to early detection of cardiovascular events based on a deep learning architecture in IoT environments. Experimental results showed that the proposed method was able to detect cardiovascular events with better performance (95.30% average sensitivity and 95.94% mean prediction values).     

Constructing queer mother‐knowledge and negotiating medical authority in online lesbian pregnancy journals

Medical interactions around reproduction are increasingly extending beyond the physician's office and onto the Internet, where negotiation with medical authority occurs in complex and dynamic ways. Recently, scholars have noted the Internet's potential for creating spaces where women can dialogue with and reconstruct medical authority, yet this growing body of work is overwhelming heteronormative. This paper thus interrogates how lesbian women use the Internet to challenge, deploy, and rework medical authority around reproduction while navigating the transition to parenthood. I draw from 17 online journals authored by lesbian couples during the conception, pregnancy, and birth of their first child, each spanning between 18 months and 2 years, in order to understand how the transition process unfolds over time. I argue that lesbian couples engage with medical authority when seeking affirmation and normalisation yet discard and publicly reject the heteronormative assumptions that accompany reproductive medicine. Further, they chart a new process that I term ‘constructing queer mother‐knowledge’, in which they critique and balance knowledges from institutionalised medicine, their own bodies, and their queer communities. With this new concept, I complicate understandings of lesbian mothers‐to‐be and their interactions with medical authority as they build subversive families.     

远程胎儿监护的临床应用

远程胎儿监护是应用互连网及计算机技术，孕妇在家中或远程监护终端将胎心监护图形传输到中央监护站，医生即可通过电脑或手机APP远程判读。对高危孕妇实行远程监护，便于及时发现胎儿宫内缺氧情况和及时处理，改善围产儿结局。     

The Web of Internet Dependency: Search Results for the Mental Health Professional

Some researchers speculate that as many as 10% of users worldwide suffer from “problematic” use of the internet, possibly stemming from an internet dependency. Research is in its early stages, making it an uncertain issue for mental health professionals. This paper provides: (1) a critical review of research on problematic internet use for the mental health and addictions professional; and (2) practical implications, including suggestions on treatment and prevention, given its uncertain clinical classification.     

大学生网络成瘾量表的初步编制

目的编制可供评估网络成瘾倾向的自评量表。方法采用自编《大学生网络成瘾量表》为研究工具对197名在校大学生为被试进行测试。结果①初步编制的《大学生网络成瘾量表》共46条目,包括2个分量表:网络成瘾倾向和网络成瘾类型分量表,其中网络成瘾倾向分量表分为成瘾症状成分(即成瘾症状、消极影响2个维度)和认知、情感体验成分(即内心体验、自我认知2个维度);网络成瘾类型分为网络关系成瘾、网络娱乐成瘾、信息搜集成瘾和网络性成瘾4个维度;②本量表具有较好的信度:成瘾倾向分量表及各维度的同质性信度为0·80~0·95,网络成瘾类型分量表为0·78,符合测量学标准;网络成瘾倾向分量表及各维度的重测信度除消极影响为0·67外,其他为0·75~0·88,网络成瘾类型分量表为0·74,也都基本达到心理测量学标准;③本量表成瘾倾向分量表的成瘾标志和消极影响维度与陈淑惠《中文网络成瘾量表》各个因子以及总分的相关(0·78~0·83)均显示有统计学意义,说明其具有良好的结构效度。结论该量表评价内容范围较宽、提供信息量较大,题目量适中,并且其信、效度较好,为后续研究打下了良好基础。