BACKGROUND Differentiating bipolar disorder (BD) from unipolar depression (UD) is essential, as these conditions differ greatly in their progression and treatment approaches. Digital phenotyping, which involves using data from smartphones or other digital devices to assess mental health, has emerged as a promising tool for distinguishing between these two disorders. OBJECTIVE This systematic review aims to summarize the findings of existing studies that assess the use of digital devices in distinguishing between UD and BD. Additionally, it seeks to identify gaps in the current research and suggest directions for future studies. METHODS A comprehensive search was conducted in Scopus, IEEE Xplore, PubMed, and EMBASE databases until 20/9/2024. The search was focused on studies evaluating the use of digital tools, such as smartphone apps, wearable devices, audio/video recordings, and multimodal technologies, for patients with UD and BD. The review protocol was registered in PROSPERO (CRD42024624202). RESULTS We identified 18 studies involving 732 participants with UD and 590 participants with BD. Among the included studies, 4 utilized smartphone apps, 3 employed wearable devices, 10 analyzed audio/video recordings, and 1 used multimodal technologies. Importantly, 9 studies directly focused on differentiating between UD and BD, excluding healthy controls or other mental health conditions from their classifications. CONCLUSIONS Digital phenotyping offers significant promise in distinguishing between UD and BD, with ongoing advances in technology. However, challenges such as data privacy, security concerns, and equitable access must be addressed to fully harness the potential of digital tools for inclusive mental health care. Further research should focus on overcoming these challenges and refining digital phenotyping methodologies to ensure broader applicability in clinical settings.
Under the pressure of aging, aging of the aged, disability, empty nesting and so on, the demand for long-term care services for the elderly in China has risen sharply. To explore and establish a social long-term care insurance system is conducive to meeting the needs of the elderly for long-term care services. This paper demonstrates the necessity of government responsibility in the social long-term care insurance system, discusses the advantages and disadvantages of different government responsibility modes and the choice of government responsibility modes, and analyzes in depth the implementation of government responsibility. Specific contents.
The COVID-19 pandemic is expected to have profound mental health impact, including in the Asia Pacific Economic Cooperation (APEC) region. Some populations might be at higher risk of experiencing negative mental health impacts and may encounter increased barriers to accessing mental health care. The pandemic and related restrictions have led to changes in care delivery, including a rapid shift to the use of e-mental health and digital technologies. It is therefore essential to consider needs and opportunities for equitable mental health care delivery to the most at-risk populations. This rapid scoping review: 1) identifies populations in the APEC region that are at higher risk of the negative mental health impacts of COVID-19, 2) identifies needs and gaps in access to standard and e-mental health care among these populations, and 3) explores the potential of e-mental health to address these needs. We conducted a rapid scoping review following the PRISMA Extension for Scoping Reviews (PRISMA-ScR). We searched Medline, Embase and PsychInfo databases and Google Scholar using a search strategy developed in consultation with a biomedical librarian. We included records related to mental health or psychosocial risk factors and COVID-19 among at-risk groups; that referred to one or more APEC member economies or had a global, thus generalizable, scope; English language papers, and papers with full text available. A total of 132 records published between December 2019 and August 2020 were included in the final analysis. Several priority at-risk populations, risk factors, challenges and recommendations for standard and e-mental health care were identified. Results demonstrate that e-mental health care can be a viable option for care delivery but that specific accessibility and acceptability considerations must be considered. Options for in-person, hybrid or "low-tech" care must also remain available. The COVID-19 pandemic has highlighted the urgent need for equitable standard and e-mental health care. It has also highlighted the persistent social and structural inequities that contribute to poor mental health. The APEC region is vast and diverse; findings from the region can guide policy and practice in the delivery of equitable mental health care in the region and beyond.
In recent years, behavioral markers such as spoken language and lexical preferences have been studied in the early detection of mild cognitive impairment (MCI) using conversations. While the combination of linguistic and acoustic signals have been shown to be effective in detecting MCI, they have generally been restricted to structured conversations in which the interviewee responds to fixed prompts. In this study, we show that linguistic and acoustic features can be combined synergistically to identify MCI in semi-structured conversations. Using conversational data from an on-going clinical trial (Clinicaltrials.gov: NCT02871921), we find that the combination of linguistic and acoustic features on semi-structured conversations achieves a mean AUC of 82.7, significantly (
To explore the effect of emotion management ability on the social anxiety and aggressive behavior among 4 - 6 grade pupils.The grade four, five and six pupils from Bengbu City were investigated using stratified cluster random sampling. The questionnaire contents included general condition, emotion management ability, aggressive behavior and social anxiety, and the relationships of which were analyzed using partial correlation and hierarchical regression method.The score of aggressive behavior in boys (72. 74 ± 18. 09) was higher than that in girls (66. 31 ± 17. 53) (P < 0. 01), and the aggressive behaviors in grade five students (71. 76 ± 18. 06) were higher than that in grade four (69. 24 ± 18. 95) and six students (68. 40 ± 17. 19) (P <0. 05). When gender and grade variables, the aggressive behaviors were negatively correlated with emotion management ability (r = - 0. 463, P < 0. 01) , and were positively correlated with social anxiety (r = 0. 229, P < 0. 01) , and the emotion management ability was negatively correlated with social anxiety ( r = - 0. 234, P < 0. 01). Emotion management ability played the mediation and regulation roles on the social anxiety and aggressive behavior (P < 0. 01), which accounting for 46. 08% and 3. 50% of the total effect, respectivelyEmotion management ability can play the partial mediation role on the social anxiety and aggressive behavior in 4 - 6 grade pupils. Improving the emotion management abilities can reduce their social anxieties and aggressive behaviors.
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