The flip side of social media: unveiling the effects of social media on mental health

Mental health, commonly known as behavioral health, is the psychological, emotional, and social well-being of an individual. It mostly affects a person’s ideas, emotions, behaviors, and relationships with other people. The idea that social media use and mental health are inextricably related appears to be the most intricate and varied. The effect of social media on mental health is a complicated topic with many moving parts. According to a countrywide survey carried out in India, as of 2023, approximately 67.5% of adults in the country utilize at least one social networking site; this percentage may be steadily increasing over time. Despite its numerous benefits, social media has also been connected to problems in society and poor mental health outcomes. People need to be aware of the potential risks of social media like disinformation, addiction, cyberbullying, data security and privacy concerns, and its possible effects on mental health. This review offers a thorough analysis of social media’s effects on mental health, and it demonstrates how crucial it is to develop a thoughtful and balanced relationship with our digital life to ensure that the advantages of connection do not come at the expense of our mental health.

Propagation of Chandipura virus in chick embryos.

Stocks of three Indian Chandipura virus (CHPV) isolates; one isolate from an adult febrile case in 1965 from Chandipura town, Maharashtra, and two isolates from two pediatric encephalitis cases from Andhra Pradesh, 2003 were inoculated in 10-day-old chick embryos by allantoic route. All three virus isolates replicated in chick embryos showing titre of log 10(12) to log 10(13) EID50. The results demonstrated that chick embryos are susceptible to CHPV and virus grows to high titres in this system. Therefore chick embryos can be used as an alternative host system for cultivation and isolation of CHPV as they are less expensive than laboratory animals and have several other advantages over cell cultures. Also this system can be used for the development of vaccine and diagnostic reagents.

Investigation of buffalopox outbreaks in Maharashtra State during 1992-1996.

During 1992-96, outbreaks of buffalopox zoonosis were reported from different villages in Jalgaon, Dhule and Beed districts of Maharashtra State. In humans, pox lesions were observed on the hands whereas in affected buffaloes and cows the lesions were noticed mainly on the teats and udder. Twenty two virus strains were isolated from the skin scabs collected from infected humans and milch animals. Neutralizing antibodies were detected not only in the sera of affected humans but also in their contacts. Detection of antibodies in young individuals from endemic area, who were neither vaccinated for smallpox nor had any contact with buffaloes or history of any poxvirus disease, is suggestive of occurrence of subclinical infection. A few children who had no contact with infected animals also showed clinical manifestations with disseminated lesions on the face, arm and buttocks, and thus suspected to have acquired infection through their infected parents or other family members indicating a possible man to man transmission. Therefore, in the light of discontinuation of smallpox vaccination, buffalopox outbreaks need to be monitored carefully as this may emerge as a serious zoonotic disease in India.

Retrospective prediction of birth weight by growth velocity curves during neonatal period.

In this prospective study, birth weight of 304 babies born at Kamla Nehru Hospital Pune during study period was recorded. From these 304 babies, babies with birth weight above 2000 grams were selected (260 babies) to prepare growth velocity curves. Daily weight of these 260 babies was recorded for 30 days. The mean birth weight of study population was 2742.5 grams. Among the daily weight recorded babies, all the babies lost weight ranging from 92 to 218 grams (mean 121 grams) after birth. The weight loss continued upto 5 days. Days required to gain weight equal to birth weight ranged from 5 to 13 days. Total weight gain observed in 30 days was 734.7 grams. Predictive value of these curves was tested in 49 infants. Deviation upto 50 grams of predicted birth weight from actual birth weight was observed in 90% of babies on day-2, 79% on day-4, 65% on day-8 and 39% on day-30.