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1.
Emerging adulthood (Print) ; 2023.
Article in English | EuropePMC | ID: covidwho-2287795

ABSTRACT

Historical events and cultural contexts have major implications for emerging adults' developmental experiences. Underpinned by the theory of emerging adulthood, this study examined how COVID-19 interacted with Singapore youths' negotiation of emerging adulthood. We employed a mixed-methods design and drew on Telegram text messaging among 757 Singapore youths (Mage = 19.60, SD = .63) at the onset of the pandemic. Using qualitative analysis, we examined whether the five features of emerging adulthood were salient in the context of the pandemic among Singapore youths. Using the quantitative methodology of topic modelling, we identified five culturally salient domains that emerged in Singapore youths' negotiation of the developmental features of emerging adulthood at the onset of the COVID-19 pandemic, with work and studies being the most salient domain. Finally, quantitative analysis using a person-centered approach revealed four classes of youths with varying patterns of how experiences of the COVID-19 pandemic interacted with their negotiation of developmental features and domains of emerging adulthood: the Struggling youths, Relationship-Oriented youths, Me generation, and Go-Getters. Results from this study revealed how the pandemic and socio-cultural conditions of the Singapore society presented a unique developmental context for emerging adults. Practical implications for supporting each group of emerging adults are discussed.

2.
JMIR Res Protoc ; 11(9): e34602, 2022 Sep 20.
Article in English | MEDLINE | ID: covidwho-2039591

ABSTRACT

BACKGROUND: Mental health issues among emerging adults (aged 19-25 years) on a global scale have underscored the need to address their widespread experiences of depression and anxiety. As a result of the COVID-19 pandemic, emerging studies are being directed toward the development and deployment of digital peer emotional disclosure and support for the psychological well-being of emerging adults. However, it is important to explore the implementation and clinical effectiveness, as well as associated mechanisms of change, for optimal approaches in conducting digital peer support interventions for emerging adults' psychological well-being. OBJECTIVE: We describe a randomized controlled trial to evaluate the implementation and clinical effectiveness of Acceset, a digital peer support intervention to address emerging adult mental well-being. The intervention has 2 components. First, the digital peer support training equips befrienders (ie, peers who provide support) to harness 4 components of psychological well-being-mattering, selfhood, compassion, and mindfulness-to provide effective peer support for seekers (ie, peers who seek support). Second, Acceset incorporates psychological well-being digital markers and harnesses community engagement to drive emotional disclosure among peers. METHODS: A total of 100 participants (aged 19-25 years) from the National University of Singapore will be recruited and randomized into 2 arms. In arm 1 (n=50), the seekers will use Acceset with befrienders (n=30) as well as moderators (n=30) for 3 weeks. Arm 2 comprises a wait-listed control group (n=50). A questionnaire battery will be used to monitor seekers and befrienders at 4 time points. These include baseline (before the intervention), 3 weeks (end of the intervention), and 6 and 9 weeks (carryover effect measurement). Implementation outcomes of the intervention will involve evaluation of the training curriculum with respect to adoption and fidelity as well as user acceptability of the Acceset platform and its feasibility for broader deployment. Clinical outcomes will include mattering, selfhood, compassion, mindfulness, perceived social support, and psychological well-being scores. RESULTS: This protocol received National University of Singapore Institutional Ethics Review Board approval in October 2021. Recruitment will commence in January 2022. We expect data collection and analyses to be completed in June 2022. Preliminary findings are expected to be published in December 2022. The Cohen d index will be used for effect size estimation with a .05 (95% reliability) significance level and 80% power. CONCLUSIONS: This protocol considers a novel digital peer support intervention-Acceset-that incorporates components and digital markers of emerging adult mental well-being. Through the validation of the Acceset intervention, this study defines the parameters and conditions for digital peer support interventions for emerging adults. TRIAL REGISTRATION: ClinicalTrials.gov NCT05083676; https://clinicaltrials.gov/ct2/show/NCT05083676. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/34602.

3.
J Med Internet Res ; 24(2): e27388, 2022 02 04.
Article in English | MEDLINE | ID: covidwho-1714877

ABSTRACT

BACKGROUND: Mobile health (mHealth) platforms show promise in the management of mental health conditions such as anxiety and depression. This has resulted in an abundance of mHealth platforms available for research or commercial use. OBJECTIVE: The objective of this review is to characterize the current state of mHealth platforms designed for anxiety or depression that are available for research, commercial use, or both. METHODS: A systematic review was conducted using a two-pronged approach: searching relevant literature with prespecified search terms to identify platforms in published research and simultaneously searching 2 major app stores-Google Play Store and Apple App Store-to identify commercially available platforms. Key characteristics of the mHealth platforms were synthesized, such as platform name, targeted condition, targeted group, purpose, technology type, intervention type, commercial availability, and regulatory information. RESULTS: The literature and app store searches yielded 169 and 179 mHealth platforms, respectively. Most platforms developed for research purposes were designed for depression (116/169, 68.6%), whereas the app store search reported a higher number of platforms developed for anxiety (Android: 58/179, 32.4%; iOS: 27/179, 15.1%). The most common purpose of platforms in both searches was treatment (literature search: 122/169, 72.2%; app store search: 129/179, 72.1%). With regard to the types of intervention, cognitive behavioral therapy and referral to care or counseling emerged as the most popular options offered by the platforms identified in the literature and app store searches, respectively. Most platforms from both searches did not have a specific target age group. In addition, most platforms found in app stores lacked clinical and real-world evidence, and a small number of platforms found in the published research were available commercially. CONCLUSIONS: A considerable number of mHealth platforms designed for anxiety or depression are available for research, commercial use, or both. The characteristics of these mHealth platforms greatly vary. Future efforts should focus on assessing the quality-utility, safety, and effectiveness-of the existing platforms and providing developers, from both commercial and research sectors, a reporting guideline for their platform description and a regulatory framework to facilitate the development, validation, and deployment of effective mHealth platforms.


Subject(s)
Mobile Applications , Telemedicine , Anxiety/therapy , Delivery of Health Care , Depression/therapy , Humans
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