227,991 research outputs found

    Psychosocial predictors of cyberchondria

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    Dostupnost interneta širokom krugu ljudi i korištenje interneta za pretraživanje zdravstvenih informacija u današnje vrijeme dovode do pojave cyberhondrije. Cyberhondriju definiramo kao pretjerivanje ili ponavljano pretraživanje zdravstvenih informacija na internetu praćeno generalnom uznemirenošću. Cilj provedenog istraživanja bio je ispitati ulogu sociodemografskih, osobinskih čimbenika i ponašanja u izraženosti cyberhondrije. Istraživanje je provedeno online na uzorku od 724 punoljetna sudionika. Rezultati pokazuju da su osobe s višom netolerancijom na neizvjesnost, anksioznom osjetljivošću te zdravstvenom anksioznošću sklonije razvoju cyberhondrije, pri čemu je zdravstvena anksioznost potpuni medijator odnosa anksiozne osjetljivosti i cyberhondrije. Također, razvoju cyberhondrije su sklonije žene. U ovom istraživanju nedavnost pretraživanja zdravstvenih informacija nije se pokazala značajno povezanom sa cyberhondrijom. Njena uloga u objašnjenju cyberhondrije još uvijek je nedovoljno istražena te su potrebna daljnja istraživanja.The availability of the Internet to a larger number of people and its usage in searching health information has lead to the emergence of cyberhondria. Cyberhondria is defined as an excessive or repeated search of health information on the Internet, followed by a general feeling of anxiety. The goal of the conducted research was to examine the role of sociodemographic factors, personality traits and behavior in the prominence of cyberhondria. The study was conducted online on a sample of 724 adult participants. The results show that people with higher intolerance to uncertainty, anxiety sensitivity and health anxiety are more susceptible to developing cyberhondria, with health anxiety mediating the relation between anxiety sensitivity and cyberhondria. Also, women are more susceptible to cyberhondria. In this research, the recency of the search for health information was not proven to be significantly associated with cyberhondria. Its role is still insufficiently explored and further research is needed

    Is Cyberchondria a New Transdiagnostic Digital Compulsive Syndrome? A Systematic Review of the Evidence

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    © 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Background. Cyberchondria (CYB) has been described relatively recently as a behaviour characterized by excessive online searching for medical information that is associated with increasing levels of health anxiety. Although CYB has received some attention from researchers, there is no consensus about many of its aspects. Aims. We describe one of the first reported cases of a treatment-seeking patient with CYB. We review the published literature on the definition of CYB, its assessment, epidemiology, cost and burden, psychological models and mechanisms associated with CYB, relationships between CYB and mental disorders and prevention and treatment strategies. Methods: Systematic review of all peer-reviewed papers published within the PubMed, PsycINFO, and Cochrane Library databases. Results. 61 articles were selected. Nearly all the studies were descriptive and cross-sectional recruiting sample mainly from the general/university student population and collecting self-report data via online surveys. Data on epidemiology, clinical features, course, comorbidity and therapeutic interventions were scarce. CYB showed a self-reported association with health anxiety, hypochondriasis and obsessive-compulsive disorder (OCD) as well as other forms of problematic usage of the internet (PUI) The psychological mechanisms associated with CYB include low self-esteem, anxiety sensitivity, intolerance of uncertainty, pain catastrophizing and certain meta-cognitive beliefs. Conclusion: A working definition of CYB includes excessive online health searches that are compulsive and may serve the purpose of seeking reassurance, whilst leading to a worsening of anxiety or distress and further negative consequences. CYB represents a clinically relevant transdiagnostic compulsive behavioural syndrome, closely related to PUI and usually presenting in association with health anxiety, hypochondriasis and/or OCD. CYB is clearly in need of further study and we identify key areas for future research.Peer reviewe

    Supporting teachers’ mental health and wellbeing : Evidence review

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    Regular and problematic leisure-time Internet use in the community: results from a German population-based survey

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    In our study, we attempted to identify systematically the use of Internet applications in the German population in order to derive risk factors for problematic use. In a representative survey of the German population, we queried 1,401 women and 1,111 men between the ages of 14 and 94 years by specific questions and standardized questionnaires on depression, anxiety (HADS), and depersonalization (CDS-2). The majority of the German population (55%) used the Internet in their leisure time. Users were younger and had a higher socioeconomic status (education, employment, income). Leisure-time use included e-mail and information search, as well as shopping. Chatting, online communities, games and sex were domains of young, mostly male adults. Overall, 9.3% reported at least one negative consequence of Internet use, especially neglect of recreational activities and problems with family/partner, work or education, and health. Problematic use was associated with longer average daily online times, avoidance of negative emotions, preference for certain applications (gaming, gam- bling, online sex) and an increased rate of depersonalization. The extent of Internet use per se is not sufficient as an addiction criterion and other negative consequences; rather, specific adverse consequences need to be identified. If the Internet is used excessively to cope with negative affect states and alternative means of coping (e.g., social support, health-promoting behavior) are diminished, a vicious cycle may ensue with increasing stress and reliance on the reinforcing properties of certain online activities that may finally lead to addictive behaviour

    Developing a model of mental health self-care support for children and young people through an integrated evaluation of available types of provision involving systematic review, meta-analysis and case study

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    Background The mental health of children and young people (CYP) is a major UK public health concern. Recent policy reviews have identified that service provision for CYP with mental health needs is not as effective, responsive, accessible or child-centred as it could be. Following on from a previous National Institute for Health Research (NIHR) study into self-care support for CYP with long-term physical health needs, this study explored self-care support’s potential in CYP’s mental health. Objectives To identify and evaluate the types of mental health self-care support used by, and available to, CYP and their parents, and to establish how such support interfaces with statutory and non-statutory service provision. Design Two inter-related systematic literature reviews (an effectiveness review with meta-analysis and a perceptions review), together with a service mapping exercise and case study. Setting Global (systematic reviews); England and Wales (mapping exercise and case study). Participants (case study) Fifty-two individuals (17 CYP, 16 family members and 19 staff) were interviewed across six sites. Main outcome measures (meta-analysis) A measure of CYP’s mental health symptomatology. Data sources (literature reviews) MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, All Evidence-Based Medicine (EBM) Reviews, Applied Social Sciences Index and Abstracts (ASSIA) and Education Resources Information Center (ERIC). Review methods Titles and abstracts of papers were screened for relevance then grouped into studies. Two independent reviewers extracted data from studies meeting the inclusion criteria. A descriptive analysis and meta-analysis were conducted for the effectiveness review; descriptive analyses were conducted for the perceptions review. These analyses were integrated to elicit a mixed-methods review. Results Sixty-five of 71 included studies were meta-analysable. These 65 studies elicited 71 comparisons which, when meta-analysed, suggested that self-care support interventions were effective at 6-month [standardised mean difference (SMD) = −0.20; 95% confidence interval (CI) −0.28 to −0.11] and 12-month (SMD = −0.12; 95% CI −0.17 to −0.06) follow-ups. However, judged against Cochrane criteria, the studies were mostly low quality. Key elements of self-care support identified in the perceptions review were the acquisition of knowledge and skills, peer support and the relationship with the self-care support agent; CYP also had different perceptions from adults about what is important in self-care support. The mapping exercise identified 27 providers of 33 self-care support services. According to the case study data, effective self-care support services are predicated on flexibility; straightforward access; non-judgemental, welcoming organisations and staff; the provision of time and attention; opportunities to learn and practise skills relevant to self-care; and systems of peer support. Conclusions Mental health self-care support interventions for CYP are modestly effective in the short to medium term. Self-care support can be conceptualised as a process which has overlap with ‘recovery’. CYP and their families want choice and flexibility in the provision of such interventions and a continued relationship with services after the nominal therapy period. Those delivering self-care support need to have specific child-centred attributes. Future work Future work should focus on under-represented conditions (e.g. psychosis, eating disorders, self-harm); the role of technology, leadership and readiness in self-care support; satisfaction in self-care support; the conceptualisation of self-care support in CYP’s mental health; and efficacy and cost-effectiveness

    Latent segmentation of older adults in the use of social networks and e-banking services

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    Introduction. This study analyses heterogeneity in the online behaviour of elderly people. Previous research has centred on the socio-demographic segmentation of the elderly regarding their Internet use. Method. The novelty that this study adds is in determining this segmentation through variables that have been especially chosen for studies of the elderly and which are related to their utilitarian use of e-banking, compared to the more hedonic nature of using online social networks. Analysis. The sample was collected using 474 students over 55 years old enrolled in a class of experience in a University in the South of Europe (Spain). We use a latent class cluster model which is appropriate in situations of a posterior segmentation. Results. In dealing with such behaviour in situations of the elderly using these technologies, we have detected the presence of five groups or segments with highly differentiated use-related profiles concerning the variables analysed: venturesomeness, technology anxiety and selfconfidence in information and communication technologies use. Conclusion. We discover the existence of heterogeneity in the behaviour of the elderly regarding services available in Internet. The results support the idea proposed. The stereotype of the elderly cut off from technology is mistaken, as is shown by the different segments found

    Persuasive system design does matter: a systematic review of adherence to web-based interventions

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    Background: Although web-based interventions for promoting health and health-related behavior can be effective, poor adherence is a common issue that needs to be addressed. Technology as a means to communicate the content in web-based interventions has been neglected in research. Indeed, technology is often seen as a black-box, a mere tool that has no effect or value and serves only as a vehicle to deliver intervention content. In this paper we examine technology from a holistic perspective. We see it as a vital and inseparable aspect of web-based interventions to help explain and understand adherence. Objective: This study aims to review the literature on web-based health interventions to investigate whether intervention characteristics and persuasive design affect adherence to a web-based intervention. Methods: We conducted a systematic review of studies into web-based health interventions. Per intervention, intervention characteristics, persuasive technology elements and adherence were coded. We performed a multiple regression analysis to investigate whether these variables could predict adherence. Results: We included 101 articles on 83 interventions. The typical web-based intervention is meant to be used once a week, is modular in set-up, is updated once a week, lasts for 10 weeks, includes interaction with the system and a counselor and peers on the web, includes some persuasive technology elements, and about 50% of the participants adhere to the intervention. Regarding persuasive technology, we see that primary task support elements are most commonly employed (mean 2.9 out of a possible 7.0). Dialogue support and social support are less commonly employed (mean 1.5 and 1.2 out of a possible 7.0, respectively). When comparing the interventions of the different health care areas, we find significant differences in intended usage (p = .004), setup (p < .001), updates (p < .001), frequency of interaction with a counselor (p < .001), the system (p = .003) and peers (p = .017), duration (F = 6.068, p = .004), adherence (F = 4.833, p = .010) and the number of primary task support elements (F = 5.631, p = .005). Our final regression model explained 55% of the variance in adherence. In this model, a RCT study as opposed to an observational study, increased interaction with a counselor, more frequent intended usage, more frequent updates and more extensive employment of dialogue support significantly predicted better adherence. Conclusions: Using intervention characteristics and persuasive technology elements, a substantial amount of variance in adherence can be explained. Although there are differences between health care areas on intervention characteristics, health care area per se does not predict adherence. Rather, the differences in technology and interaction predict adherence. The results of this study can be used to make an informed decision about how to design a web-based intervention to which patients are more likely to adher
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