Prevalence of Internet Addiction and Impact of Internet Socialization on Professional, Academic, Social Lives and Sleep Pattern Among Students and Professionals from Various Fields Across India.

Background: Internet addiction was found to be associated with a variety of psychosocial problems, including academic failure, low self-esteem, poor diet, mental disorders like depression and anxiety, sleep deprivation, and social withdrawal. Objective: To determine the prevalence and risk factors of internet addiction and evaluate the impact of internet socialization on professional, academic, social lives and sleep pattern among students and professionals from various fields across India. Methodology: This cross-sectional, descriptive study was conducted from January 2022 to July 2023 among 772 participants who were aged ≥18 years. The study tool consisted of a questionnaire with four parts comprising questions related to demographic characteristics, pattern of use and impact of internet over academic, professional, social life, sleep pattern, and Kimberley Young's Internet Addiction Test (IAT) questionnaire. Results: The prevalence of Internet addiction was 53.6% among the participants. Participants aged above 30 years demonstrated a decreased risk of internet addiction compared to those aged below 30 years (AOR = 0.35). Participants who reported becoming restless without internet access (AOR = 4.88) and going to bed late because of the use of internet or social media (AOR = 3.01) had a significantly higher risk of internet addiction. Conclusion: Internet addiction is very common among professionals, and students and there is a high risk of internet addiction in persons who get restless when they cannot log in, spend too much time online, stay up late using the internet, and share personal information soon after meeting others on social media sites.

Are paid tools worth the cost? A prospective cross-over study to find the right tool for plagiarism detection.

Background: The increasing pressure to publish research has led to a rise in plagiarism incidents, creating a need for effective plagiarism detection software. The importance of this study lies in the high cost variation amongst the available options for plagiarism detection. By uncovering the advantages of these low-cost or free alternatives, researchers could access the appropriate tools for plagiarism detection. This is the first study to compare four plagiarism detection tools and assess factors impacting their effectiveness in identifying plagiarism in AI-generated articles. Methodology: A prospective cross-over study was conducted with the primary objective to compare Overall Similarity Index(OSI) of four plagiarism detection software(iThenticate, Grammarly, Small SEO Tools, and DupliChecker) on AI-generated articles. ChatGPT was used to generate 100 articles, ten from each of ten general domains affecting various aspects of life. These were run through four software, recording the OSI. Flesch Reading Ease Score(FRES), Gunning Fog Index(GFI), and Flesch-Kincaid Grade Level(FKGL) were used to assess how factors, such as article length and language complexity, impact plagiarism detection. Results: The study found significant variation in OSI(p < 0.001) among the four software, with Grammarly having the highest mean rank(3.56) and Small SEO Tools having the lowest(1.67). Pairwise analyses revealed significant differences(p < 0.001) between all pairs except for Small SEO Tools-DupliChecker. Number of words showed a significant correlation with OSI for iThenticate(p < 0.05) but not for the other three. FRES had a positive correlation, and GFI had a negative correlation with OSI by DupliChecker. FKGL negatively correlated with OSI by Small SEO Tools and DupliChecker. Conclusion: Grammarly is unexpectedly most effective in detecting plagiarism in AI-generated articles compared to the other tools. This could be due to different softwares using diverse data sources. This highlights the potential for lower-cost plagiarism detection tools to be utilized by researchers.

Adverse Drug Reactions Associated With Drugs Prescribed in Psychiatry: A Retrospective Descriptive Analysis in a Tertiary Care Hospital.

Background Psychiatric disorders are chronic in nature which often require long and continuous medications. These medications are known to cause adverse effects on their use. Their monitoring and prevention are crucial for the practicing family and community physicians. Method This is a cross-sectional retrospective study conducted to analyze all the spontaneous adverse drug reactions (ADRs) reported from the psychiatry department to the ADR Monitoring Center, Department of Pharmacology, AIIMS Jodhpur during the time period from 2014 to 2020. Results A total of 334 ADRs were reported. The majority of the ADRs were reported from antipsychotics (60.6%) followed by antidepressants (25.5%) and antiepileptic drugs (5.8%). On further subgroup analysis of the drug classes among antipsychotics, Clozapine (15.8%) was the leading offending agent. Similarly, among Antidepressants, Escitalopram (6.1%) was causing the most side effects. The most common ADR reported was sedation (7.26%) followed by salivary hypersecretion (6.7%), akathisia (5.52%), and weight gain (5.52%). Conclusion Knowledge of common ADRs help in better management of the diseases and psychotropics as a class has various frequents ADRs. Early detection and suitable intervention can help the community physicians in the proper care of the patients and rational use of drugs.

The Satisfaction Level of Undergraduate Medical and Nursing Students Regarding Distant Preclinical and Clinical Teaching Amidst COVID-19 Across India.

BACKGROUND: The COVID-19 pandemic has disrupted the educational system and led to a drastic shift of professional undergraduate teaching for medical and nursing students into online mode. METHODS: This was a cross-sectional, observational questionnaire-based study to assess the satisfaction level of the students. The questionnaire had 25 items of which 23 were questions with responses on the Likert scale and two items on views and suggestions were open-ended. The online questionnaire was shared through various messaging/mailing platforms. Overall satisfaction was assessed, and a satisfaction index was calculated for each item. Data are presented in frequencies and percentages, and SPSS was used to analyze the data. RESULTS: A total of 1068 students participated in the study. The majority were from the age group 21-23 years (54%) and there was almost the same number of participants from both genders. The majority of the students were medical undergraduates (n=919), were in their second year (n=669), belonged to a government institution (n=897) and used a mobile phone for their online classes (n = 871). The majority of the students were dissatisfied (42%) with no significant difference between medical and nursing students (p = 0.192). First-year students were significantly dissatisfied compared with other senior students (p = 0.005). The maximum satisfaction index (78.23%) was observed with faculties being supportive and responsive in resolving the queries and the minimum (46.39%) was observed with issues related to communication and discussion with peer students. There were 662 responses as views which mostly contained negative comments regarding interaction and focus, practical learning, teaching content, and technological/infrastructural flaws. There was major dissatisfaction regarding the practical and clinical learning. CONCLUSION: Online learning is essential at current times but is not an effective alternative for medical and nursing education. Face-to-face classes and practical sessions along with online learning can be a viable option.

Hand and foot syndrome secondary to capecitabine.

A 55-year-old woman on treatment with capecitabine and paclitaxel for breast carcinoma presented with history of a tingling sensation in her hands and feet with a progressive burning sensation. She also noted discomfort, minimal pain and stiffness while holding objects. On examination, there was patchy hyperpigmentation of both the palms and soles, and the dorsa of hands and feet. This was accompanied by a thickening of the skin more over the knuckles and toes. In addition there was a moist desquamation around the toes and over the palmar creases and a bluish discoloration of the lunulae of both thumbnails. She was diagnosed with hand and foot syndrome and started on pyridoxine and emollients. The finding of keratoderma noted in our patient is not seen commonly in hand and foot syndrome.

Stevens johnson syndrome in a bipolar patient treated with lamotrigine.

A male patient with bipolar disorder who developed Stevens Johnson Syndrome following treatment with a combination of sodium valproate and lamotrigine is reported. This case report emphasises the importance of being cautious when such a combination is used in patients with associated medical conditions.