Understanding the Role of Social Media-Based Mental Health Support Among College Students: Survey and Semistructured Interviews

Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study

BACKGROUND

Suicide stands as a global public health concern with a pronounced impact, especially in low- and middle-income countries, where it remains largely unnoticed as a significant health concern, leading to delays in diagnosis and intervention. South Asia, in particular, has seen limited development in this area of research, and applying existing models from other regions is challenging due to cost constraints and the region's distinct linguistics and behavior. Social media analysis, notably on platforms such as Facebook (Meta Platforms Inc), offers the potential for detecting major depressive disorder and aiding individuals at risk of suicidal ideation.

OBJECTIVE

This study primarily focuses on India and Bangladesh, both South Asian countries. It aims to construct a predictive model for suicidal ideation by incorporating unique, unexplored features along with masked content from both public and private Facebook profiles. Moreover, the research aims to fill the existing research gap by addressing the distinct challenges posed by South Asia's unique behavioral patterns, socioeconomic conditions, and linguistic nuances. Ultimately, this research strives to enhance suicide prevention efforts in the region by offering a cost-effective solution.

METHODS

This quantitative research study will gather data through a web-based platform. Initially, participants will be asked a few demographic questions and to complete the 9-item Patient Health Questionnaire assessment. Eligible participants who provide consent will receive an email requesting them to upload a ZIP file of their Facebook data. The study will begin by determining whether Facebook is the primary application for the participants based on their active hours and Facebook use duration. Subsequently, the predictive model will incorporate a wide range of previously unexplored variables, including anonymous postings, and textual analysis features, such as captions, biographic information, group membership, preferred pages, interactions with advertisement content, and search history. The model will also analyze the use of emojis and the types of games participants engage with on Facebook.

RESULTS

The study obtained approval from the scientific review committee on October 2, 2023, and subsequently received institutional review committee ethical clearance on December 8, 2023. Our system is anticipated to automatically detect posts related to depression by analyzing the text and use pattern of the individual with the best accuracy possible. Ultimately, our research aims to have practical utility in identifying individuals who may be at risk of depression or in need of mental health support.

CONCLUSIONS

This initiative aims to enhance engagement in suicidal ideation medical care in South Asia to improve health outcomes. It is set to be the first study to consider predicting participants' primary social application use before analyzing their content to forecast behavior and mental states. The study holds the potential to revolutionize strategies and offer insights for scalable, accessible interventions while maintaining quality through comprehensive Facebook feature analysis.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/55511.

Help-Seeking Preferences and Influencing Factors Among Chinese Nurses Exposed to COVID-19: A Person-Centered Approach

PURPOSE

This study aimed to explore help-seeking preference categories and crucial influencing factors among community nurses exposed to COVID-19 in China using a new person-centered approach.

DESIGN

A cross-sectional design including an online self-reported questionnaire survey was used.

METHODS

A total of 667 nurses who participated in COVID-19 prevention and control work were recruited. Latent class analysis and logistic regression were used to analyze the data using Mplus and SPSS.

FINDINGS

Two latent classes of help-seeking preferences were identified: high help-seeking preferences (33.58%) and low help-seeking preferences (66.42%). Most sampled nurses had relatively low help-seeking preferences when facing psychological threats during COVID-19. Logistic regression showed that career duration, perceived social support, online help-seeking intention, and social media exposure negatively affected low help-seeking preferences.

CONCLUSIONS

Career duration, perceived social support, online help-seeking intention, and social media exposure could be key factors influencing help-seeking preferences among Chinese nurses exposed to public emergencies. It is necessary to implement relevant intervention measures, such as focusing on nurses whose career durations are shorter, improving nurses' perceived social support, strengthening positive media publicity, and developing comprehensive online mental health services that promote nurses' help-seeking preferences and behaviors to reduce mental illness during public health emergencies.

CLINICAL EVIDENCE

Help-seeking preferences are relatively low among Chinese nurses during public emergencies. Based on the major influencing factors of help-seeking preferences, including social support and social media exposure, more interventions must be developed for prompting psychological help-seeking intentions among Chinese nurses.

Research on the mechanism of short video information interaction behavior of college students with psychological disorders based on grounded theory

BACKGROUND

The utilization of short videos by individuals often leads to the emergence of information exchange behavior. Previous studies have shown that certain students with psychological disorders exhibit addictive tendencies towards short video-related software. Therefore, it is essential to address the psychology and behavior of college students with psychological disorders while engaging with short videos. This study aims to explore the mechanism of short video information interaction behavior among college students with psychological disorders.

METHODS

We conducted semi-structured interviews with 30 college students afflicted by psychological disorders in a prefecture-level city in Henan Province, China from September to December 2022. Based on the Grounded theory, we encoded 30 text materials across three levels to explore the mechanism of short video information interaction behavior among college students with psychological disorders, and subsequently build a model framework.

RESULTS

The findings of this study suggest that college students with psychological disorders exhibit negative cognition tendencies that can lead to strongly negative emotions, excacerbated by a lack of social support. These adverse factors collectively drive the consumption of short video content in this demographic, providing a virtual environment where they can fulfill their unmet social needs. Therefore, the mechanism governing short video messages interaction among college students with psychological disorders encompasses negative cognitive tendencies, negative emotions, lack of social support, post-video-watching behaviors, and the gratification of social needs within the confines of a virtual environment.

CONCLUSIONS

This study comprehensively analyzes the motivation and complexity of college students with psychological disorders in short video interaction. Although short videos provide this group with some ways of self-expression and emotional support, they still have a negative impact on their physical and mental health. The short video interaction of college students with psychological disorders is affected by many factors, including their negative cognitive tendencies, negative emotions, lack of social support, post-video-watching behaviors, and the gratification of social needs within the confines of a virtual environment. These findings deepened our understanding to the mechanism of short video information interaction behavior among college students with psychological disorders, also provided us with guidance on facilitating the proper use of short video and maintaining the mental health. In future researches, researchers can discuss more about intervention measures to help this demographic cope with the challenges from short video interaction.

Social Support-Seeking Strategies on Social Media at the Intersection of Lesbian, Gay, Bisexual, Transgender, and Queer Identity, Race, and Ethnicity: Insights for Intervention From a Qualitative Study

BACKGROUND

Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) individuals experience a disproportionately higher prevalence of mental health challenges when compared to their heterosexual and cisgender counterparts. Moreover, they exhibit increased engagement with social media platforms relative to their peers. Understanding the intersectional dynamics of their identities is crucial in elucidating effective and safe approaches to garnering social support through social media channels. This exploration holds significance for informing future research endeavors and shaping targeted interventions to address the unique mental health needs of LGBTQ+ individuals.

OBJECTIVE

The purpose of this study was to explore the strategies used by Black, Hispanic, and non-Hispanic White LGBTQ+ young adults to acquire social support from social media. The study aimed to examine how these strategies may differ by race and ethnicity.

METHODS

We conducted semistructured interviews with LGBTQ+ young adults aged between 18 and 30 years recruited in the United States from social media. Of 52 participants, 12 (23%) were Black, 12 (23%) were Hispanic, and 28 (54%) were non-Hispanic White. Thematic analysis was used to analyze the collected data.

RESULTS

The analysis uncovered both divergent and convergent strategies among participants of different races and ethnicities. Black and Hispanic young adults exhibited a preference for connecting with individuals who shared similar identities, seeking safety and tailored advice. Conversely, non-Hispanic White participants demonstrated minimal preference for identity-based advice. Seeking support from anonymous sources emerged as a strategy to avoid unwanted disclosure among Hispanic participants. Furthermore, all participants emphasized the importance of content filtering with family members to cultivate positive and supportive social media experiences.

CONCLUSIONS

This study sheds light on the strategies used by LGBTQ+ individuals of different racial and ethnic backgrounds to seek social support from social media platforms. The findings underscore the importance of considering race and ethnicity when examining social support-seeking behaviors on social media in LGBTQ+ populations. The identified strategies provide valuable insights for the development of interventions that aim to leverage social support from social media to benefit the mental health of Black, Hispanic, and non-Hispanic White LGBTQ+ young adults.

Unlock digital health promotion in LMICs to benefit the youth

As digital technologies such as smartphones and fitness bands become more ubiquitous, individuals can engage in self-monitoring and self-care, gaining greater control over their health trajectories along the life-course. These technologies appeal particularly to young people, who are more familiar with digital devices. How this digital transformation facilitates health promotion is therefore a topic of animated debate. However, most research to date focuses on the promise and peril of digital health promotion (DHP) in high-income settings, while DHP in low- and middle-income countries (LMICs) remain largely unexplored. This narrative review aims to fill this gap by critically examining key ethical challenges of implementing DHP in LMICs, with a focus on young people. In the existing literature, we identified potential impediments as well as enabling conditions. Aspects to consider in unlocking the potential of DHP include (1) addressing the digital divide and structural injustice in data-related practices; (2) engaging the target population and responding to their specific needs given their economic, cultural, and social contexts; (3) monitoring the quality and impact of DHP over time; and (4) improving responsible technology governance and its implementation. Addressing these concerns could result in meaningful health benefits for populations lacking access to more conventional healthcare resources.

Impact of social media-based dance therapy in treating depression symptoms among victims of Russia-Ukraine war

The objective of this study was to ascertain the impact of social media-based dance therapy in reducing symptoms of depression among evacuees of the Russia-Ukraine war. The participants were randomly assigned to no dance therapy (n = 162) and social media-based dance therapy groups (n = 162). The dance therapy group took part in 12 sessions of dance therapy while the no dance therapy group did not receive any intervention. The result showed that before the dance therapy intervention, participants in both groups reported severe depression symptoms. After the intervention, participants in the dance therapy group dropped from severe depression to normal depression while those in the no dance therapy group dropped to major depression. During the follow-up assessment after 3 months, participants in the no dance therapy group reported moderate depression while those in the dance therapy group still maintained their normal depression classification with a drop in their depression score from 46 to 26. Overall, the result showed that there was a significant main effect of time and the depression score of the participants, F(1,304) 203.143, p = 0.001, eta = 0.401. No interactive effect of gender and the impact of the treatment on reduction in depression symptoms was detected, F(1,304) 3.232, p = 0.073. However, there was a significant main effect of treatment condition on depression symptoms, F(1,304) 495.023, p = 0.001. We highlighted the implication of these results on health promotion.

Digital mental health interventions for anxiety and depressive symptoms in university students during the COVID-19 pandemic: A systematic review of randomized controlled trials

University students are particularly vulnerable to mental health issues, with anxiety and depression identified as the most common conditions. During the COVID-19 pandemic, social distancing, self-isolation, and difficulties linked to online teaching and learning have increased their burden of anxiety and depressive symptoms. Thus, the urgent need to intervene in favour of these vulnerable subjects, together with the difficulties in delivering in-person interventions because of lockdowns and restrictions, has led to prioritize digital mental health strategies. This study aimed at systematically reviewing the existing literature on digital mental health interventions targeting anxiety and depressive symptoms in university students during the COVID-19 emergency. Systematic searches of Medline, Embase, and PsycInfo databases identified eight randomized controlled trials. Regarding anxiety symptoms, digitally delivered cognitive behavioural therapy, dialectical behaviour therapy, and mind-body practice techniques emerged as valid strategies, while digital positive psychology and mindfulness-based interventions showed mixed results. On the other hand, digitally delivered dialectical behaviour therapy and positive psychology interventions have shown some efficacy in reducing depressive symptoms. Overall, the available literature, albeit of low quality, seems to support the role of digital interventions in promoting the mental health of university students during the COVID-19 pandemic.