人工智能辅助下的心理健康新型测评

近年来,人工智能技术的飞速发展及应用催生了"智能化心理健康测评"这一领域。智能化心理健康测评能够弥补传统方法的不足,降低漏诊率并提高诊断效率,这对于心理健康问题的普查及预警具有重大意义。目前,智能化心理健康测评处于初步发展阶段,研究者基于在线行为数据、便携式设备数据等开展主要以数据驱动为导向的探索研究,旨在实现更高的预测准确率,但是测评结果的可解释性等指标尚不够理想。未来的智能化心理健康测评需要强调心理学领域知识和经验的深度介入,提高测评的针对性和精细化程度,加强信效度检验,这对于智能化心理健康测评工具的进一步发展和应用至关重要。     

助推手卫生的行为干预策略

保持手卫生是感染防控的重要策略,但是如何提高其依从性成为预防传染性疾病和减少医疗机构获得性感染的一大挑战。以行为科学为基础的手卫生助推干预以更“隐性”的方式将洗手转变为一种可自动触发的行为习惯,弥补了以知识分享和健康宣教为主的传统手卫生干预策略的诸多局限性。基于影响机制的不同,手卫生助推干预策略可分为提供决策信息、优化决策选项、影响决策结构、提醒决策方向4个大类的框架体系。多模式助推策略的有效性也已在实践中得到印证,但目前还非常缺乏在中国社会文化情境下开展的助推洗手行为的干预研究,今后可尝试基于行为科学理论有针对性地在医院、学校和社区等公共场所开展此类干预研究和实践,为感染防控、疾病预防和改善公共健康做出相应的贡献。     

媒体多任务的效用：听觉信息干扰和视听信息整合的实验证据

采用心理旋转范式和词汇判断范式,探讨媒体多任务经验不同者在听觉信息干扰和视听信息整合情境下对图形一致性和真假词的判断表现。结果发现：（1）以判断图形一致性为实验任务,在无声和低音干扰条件下,低经验组的正确率均显著高于高经验组,两组的反应时差异均不显著;在高音干扰条件下,高经验组的反应时显著短于低经验组,正确率则没有显著差异。（2）以真假词判断为实验任务,对真词进行判断,在三种听觉条件下,高经验组在语音匹配条件下的反应时最短,与低经验组无显著差异,但正确率显著高于低经验组,与另两种听觉条件没有显著差异;低经验组在语音匹配条件下的反应时显著长于另两种听觉条件,正确率则显著高于无声条件,与不匹配条件差异不显著。对假词的判断,低经验组在三种听觉条件下的反应时均显著短于高经验组,正确率与高经验组均无显著差异。研究表明,媒体多任务经验丰富者相比经验缺乏者受到任务无关的纯短高音干扰的影响要小,在需要视听通道语义整合的加工中具有一定的优势。     

《中学生心理健康诊断测验》结构的探索及修改

在浙江省8个城市的6所高中和6所初中,采取分层整群抽样方法选取初一到高三600名学生,用修改后的《心理健康诊断测验》(MHT)进行了测查,着重检验该测验的结构。结果发现,因素分析所获取的因素与原测验相一致,但对原测验的项目进行了一些删减。因素分析和相关分析结果以及内部一致性系数显示,修改后的问卷具有较高的信度,其效度也符合心理测量的要求。     

Who drops-out? Do measures of risk to self and to others predict unplanned endings in primary care counselling?

Aims: Unplanned endings, where clients unilaterally end therapy, are of concern for psychological therapy services generally as they raise questions about the appropriateness of the treatment and it's delivery for some clients. Limited available data indicates that those who drop-out often have more severe symptoms at entry, and have poorer clinical outcomes. This raises further questions about risk to self and others for those clients who leave therapy prematurely and how these clients might be identified and kept engaged. Method: This paper uses a large dataset of CORE data collected routinely in a primary care counselling service between 2000 and 2003. Logistic regression was utilised to consider different measures of risk and other client characteristics recorded at assessment to predict drop-out from the service. Results: These indicate that younger age, greater psychological distress at assessment, an addiction problem and greater risk to others, are associated with an unplanned ending. However, no reliable logistic regression model could be produced. This may be partly due to data quality issues or important characteristics not being available in the data. Implications for practice: The paper concludes that counsellors should actively seek to minimise unplanned endings, as amongst them may be represented the more distressed and risky clients referred to primary care counselling.     

Social influence matters: We follow pandemic guidelines most when our close circle does

Why do we adopt new rules, such as social distancing? Although human sciences research stresses the key role of social influence in behaviour change, most COVID-19 campaigns emphasize the disease’s medical threat. In a global data set (n = 6,675), we investigated how social influences predict people’s adherence to distancing rules during the pandemic. Bayesian regression analyses controlling for stringency of local measures showed that people distanced most when they thought their close social circle did. Such social influence mattered more than people thinking distancing was the right thing to do. People’s adherence also aligned with their fellow citizens, but only if they felt deeply bonded with their country. Self-vulnerability to the disease predicted distancing more for people with larger social circles. Collective efficacy and collectivism also significantly predicted distancing. To achieve behavioural change during crises, policymakers must emphasize shared values and harness the social influence of close friends and family.     

Interactive effects of social network centrality and social identification on stress

The present study aimed to integrate the social identity approach to health and well-being with social network analysis. Previous research on the effects of social network centrality on stress has yielded mixed results. Building on the social identity approach, we argued that these mixed results can be explained, in part, by taking into account the degree to which individuals identify with the social network. We hence hypothesized that the effects of social network centrality on stress are moderated by social identification. Using a full roster method, we assessed the social network of first-year psychology students right after the start of their study programme and three months later. The effects of network centrality (betweenness, closeness, eigenvector centrality) and social identification on stress were examined using structural equation models. As predicted, our results revealed a significant interaction between network centrality and social identification on stress: For weakly or moderately identified students, network centrality was positively related to stress. By contrast, for strongly identified students, network centrality was unrelated to stress. In conclusion, our results point to the perils of being well-connected yet not feeling like one belongs to a group.     

General vs health‐specific consideration of immediate and future consequences to explain eating and exercise behavior in a Norwegian student population: A randomized survey experiment

Over several decades, the consideration of future consequences (CFC) construct has been used to explain and predict health behaviors. However, the reported associations between CFC and health behaviors are relatively weak, leading to the low explanatory power of the models. Recent research suggests that CFC can be a domain‐specific construct. In this study, we explored the psychometric properties of the Norwegian CFC‐general and CFC‐health questionnaires in terms of factor structure and discriminant and convergent validity and tested the association between the general and domain‐specific CFC and exercise and eating behaviors. In a randomized survey experiment, 1,001 university students were assigned to either a CFC‐general or a CFC‐health questionnaire. In the tested models, two dimensions of CFC, consideration of immediate consequences (CFC‐I) and consideration of future consequences (CFC‐F), were independent variables. The exercise and eating behaviors, measured both as self‐evaluated behaviors and self‐reported frequency measures, were dependent variables. The results showed that in both CFC‐general and CFC‐health, CFC‐I and CFC‐F are distinct dimensions that differentially explain variance in health behaviors. A domain‐specific CFC‐health explained a significantly higher amount of variance in self‐reported eating and exercising behaviors than a general CFC. Self‐evaluated health behaviors were better explained by CFC than self‐reported behavioral frequencies. Practical implications of the findings and avenues for future research are discussed.