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Introduction: The impact of excessive screen time and social media use on mental health, particularly among adolescents and young adults, has raised concerns. Objective: The objective of this study is to assess the mental health effects of excessive screen time and social media use among adolescents (13–19 years) and young adults (20–25 years) in India. Methods: This cross-sectional online survey study recruited 1392 participants (672 adolescents and 720 young adults) from India. Validated scales assessed mental health outcomes, screen time, social media use, mediating factors, and coping strategies. Descriptive statistics, correlation analyses, regression models, and thematic analysis were employed. Results: The prevalence of depression symptom was 37.9%, anxiety symptom was 33.3%, high stress 43.7%, and low self-esteem 25.3%, respectively. Significant positive correlations were found between screen time, social media use, and symptoms of depression (r = 0.32, r = 0.25), anxiety (r = 0.28, r = 0.22), and stress (r = 0.36, r = 0.29), while negative correlations existed with self-esteem (r = −0.25, r = −0.18). Poor sleep quality and cyberbullying exacerbated mental health issues, while physical activity and social support had protective effects. Common coping strategies included physical activity, hobbies, social support, digital detox, and mindfulness. Conclusions: The study provides compelling evidence linking excessive screen time and social media use with adverse mental health outcomes such as depression symptoms, anxiety symptoms, stress, and low self-esteem among Indian adolescents and young adults. Key mediating factors were poor sleep quality exacerbating mental health issues, while physical activity, social support, and reduced cyberbullying were protective. While recognizing technology’s benefits, the study highlights promoting balanced digital habits, addressing underlying factors, and equipping youth with coping skills to foster a healthier relationship with technology and safeguard mental well-being.

Regenerative AI is transforming breast cancer diagnosis and treatment through enhanced imaging analysis, personalized medicine, drug discovery, and remote patient monitoring. AI algorithms can detect subtle patterns in mammograms and other imaging modalities with high accuracy, potentially leading to earlier diagnoses. In treatment planning, AI integrates patient-specific data to predict individual responses and optimize therapies. For drug discovery, generative AI models rapidly design and screen novel molecules targeting breast cancer pathways. Remote monitoring tools powered by AI provide real-time insights to guide care. Examples include Google's LYNA for analyzing pathology slides, Kheiron's Mia for mammogram interpretation, and Tempus's platform for integrating clinical and genomic data. While promising, challenges remain, including limited high-quality training data, integration into clinical workflows, interpretability of AI decisions, and regulatory/ethical concerns. Strategies to address these include collaborative data-sharing initiatives, user-centered design, explainable AI techniques, and robust oversight frameworks. In developing countries, AI tools like MammoAssist and Niramai's thermal imaging system are improving access to screening. Overall, regenerative AI offers significant potential to enhance breast cancer care, but judicious implementation with awareness of limitations is crucial. Coordinated efforts across the healthcare ecosystem are needed to fully realize AI's benefits while addressing challenges.

Background: Anxiety and depression often exacerbate multimorbidity conditions, leading to increased disability rates among affected individuals. Objective: The study aimed to assess the mental health status of individuals with multimorbidity belonging to the marginalized population of Karachi, Pakistan. Specifically, the prevalence of anxiety and depression was investigated. Methods: A multicenter cross-sectional study was conducted between July 2022 and June 2023 in 10 primary healthcare clinics located in 4 peri-urban areas of Karachi. A total of 9331 participants were included in the study. The Patient Health Questionnaire 4 (PHQ-4), Generalized Anxiety Disorder 7 (GAD-7), and Patient Health Questionnaire 9 (PHQ-9) were used to assess symptoms of anxiety and depression. The data collected were analyzed using the statistical analysis system (SAS) version 9.4. Results: Among the study participants, 2894 (31%) were men and 5534 (59.3%) were women. The prevalence of moderate to severe anxiety was 31% among men and 59.3% among women. The age group between 41 and 60 years exhibited the highest rates of moderate to severe anxiety, 19.3% as evaluated by GAD-7 and 34.6% by PHQ-9. The Pathan ethnic group had the highest prevalence of anxiety (11%) and depression (28.3%) in the neighborhoods. Unemployed participants showed moderate to severe anxiety in 21.3% of the cases and moderate to severe depression in 25.5% of the cases. Conclusion: The study revealed a significant cooccurrence of anxiety and depression among individuals with multimorbidity in the marginalized population of Karachi, Pakistan. Furthermore, the presence of anxiety symptoms in multimorbidity patients with depression indicates a more unfavorable health state. It is essential to explore the implementation of screening measures and therapeutic interventions for comorbid anxiety and depression in this population to improve clinical outcomes.

The COVID-19 pandemic, with its vast impact illustrated by 770 million confirmed cases and 6.9 million deaths as of September 21, 2023, has exposed a critical challenge: the infodemic. Effective communication and health literacy are pivotal in addressing this crisis. This article emphasizes the urgency of combating health misinformation, highlighting its tangible impact on public health and social well-being. Trustworthy sources, especially government agencies and public health officials, played a central role in shaping public behavior. Clear, accurate, and consistent messaging became vital. Health literacy, a fundamental determinant of pandemic response, empowered individuals to understand and act upon health information. Approximately 36% of adults exhibited basic or below-basic health literacy skills, emphasizing its crucial role. Improving health literacy emerged as a strategic imperative, enabling informed choices and proactive health protection. The pandemic underscores the vital role of effective communication and health literacy in combating health misinformation, fostering informed decision-making, and safeguarding public health.

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Objective: Access to psychiatry services in Kashmir is challenging because of active enduring conflict, insecurity and a fundamental role played by the traditional health workers. We aimed to assess the main pathways to mental health services in Kashmir, India., Methods: This cross-sectional hospital-based study was performed from March 2012 to June 2017 in the outpatient psychiatry department at a psychiatric disease hospital in Kashmir. A convenience sampling method was used to select newly referred patients to the services. A survey was developed to collect information on demographic data and the main pathways for patients when seeking care for mental disorders., Results: A total of 518 patients were interviewed. About half of the respondents (48.8 %) attended clinical consultation from a general pathway like a physician or a neurologist, while 31.8% were visiting a psychiatrist for a significant psychiatric disorder. For some patients (17.8%), their initial pathway to mental health services is traditional healers., Conclusion: The current study revealed different pathways to seeking psychiatric care in Kashmir India. Further studies are needed to address the treatment gap and ways to improve access to mental health services for the Kashmir population.