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Background: Cyberbullying and excessive social media use are emerging issues among medical students, with potential implications for mental health. This study aimed to investigate the prevalence of cyberbullying, social media addiction, and their associated mental health conditions, as well as to explore the associated factors among medical students. Methods: A cross-sectional study was conducted among 418 medical students in Gujarat using a self-administered questionnaire. Cyberbullying was assessed using the Revised Cyberbullying Inventory (RCI-R), social media addiction was measured using the Bergen Social Media Addiction Scale (BSMAS), and mental health issues were evaluated using the Depression Anxiety Stress Scale (DASS-21). Descriptive statistics and binary logistic regression analyses were performed. A P value of <0.05 was considered significant. Results: The prevalence of cyberbullying, social media addiction, depression, anxiety, and stress among participants was 27.5% (95% CI: 23.4%-31.9%), 32.1% (95% CI: 27.8%-36.7%), 37.6% (95% CI: 33.1%-42.2%), 41.9% (95% CI: 37.3%-46.6%), and 46.2% (95% CI: 41.6%-50.9%), respectively. Factors associated with increased risk of being a cyber victim included older age, female gender, later years of study, increased daily mobile and social media usage, social media as the preferred mobile usage, and social media addiction. Factors associated with being a cyberbully were similar, except for the male gender. Both cyber victimization and social media addiction were significantly associated with higher odds of depression [aOR-2.5 (1.6-3.9) and 2.1 (1.4-3.2)], anxiety [aOR-2.2 (1.4-3.4) and 1.9 (1.3-2.8)] and stress [aOR-2.8 (1.8-4.3) and 2.4 (1.6-3.6)]. Conclusions: Cyberbullying, social media addiction, and mental health issues are prevalent among medical students. Targeted interventions addressing excessive social media use, promoting responsible online behaviour, and supporting mental well-being are crucial for this population. Further research is needed to establish causal relationships and develop effective prevention and support strategies.

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Objectives: To determine the prevalence and predictors of loneliness and its associations with health behaviors among elderly adults in Gujarat, India. Methodology: This community-based cross-sectional study included 250 participants aged ≥60 years. Loneliness was measured using the UCLA Loneliness Scale. Associations with socio-demographic, health, and social factors were explored through regression models. Health behaviors were compared between lonely and non-lonely groups. Results: The prevalence of moderate and severe loneliness was 24% (n = 60) and 16% (n = 40), respectively. 40% (n = 100) were found to be lonely. Widowhood (55/125, OR 3.67), living alone (75/125, OR 1.85), social isolation (90/125, OR 2.38), recent bereavement (68/125, OR 1.69), depression (85/125, OR 6.52), and disability (70/125, OR 6.35) were significant predictors of loneliness (P < 0.05). Lonely elders had poorer diet, exercise, sleep, increased smoking, screen time, reduced medical checkups, and social engagements versus non-lonely peers (P < 0.05). Conclusion: Loneliness was highly prevalent among 40% of elderly Indians and strongly linked to adverse health behaviors. Interventions promoting social connectedness, counseling, and peer support are recommended.

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Background: Multimorbidity is a condition that refers to the coexistence of two or more chronic diseases or long-term medical conditions in an individual. It has become one of the key issues in the public health sector, particularly among older adults. So, this study aimed to estimate the prevalence of multimorbidity and its associated factors among older adults. Methodology: The present study was a community-based cross-sectional study carried out on the elderly population (≥60 years) in a rural area of the study district, Gujarat. The estimated sample size was 384, and the final sample size was taken as 420, considering the multistage sampling procedure for fair distribution. The eligibility criteria included elderly people ≥60 years old, who were permanent residents (living for ≥6 months) of the study district and willing to participate in the study. Elderly people who were not willing to participate in the study for their reasons were excluded. A multistage sampling procedure was used to choose the study participants. The data collection tools included a pretested, predesigned, semi-structured questionnaire. The questionnaire consisted of two parts: sociodemographic details and morbidity details. Categorical variables were described by frequency and percentage, and numerical variables were described by mean ± SD. Logistic regression analyses were applied to test the relationship of categorized independent and dependent variables, and all tests were two-tailed with statistical significance set at the probability value (P < 0.05). Results: Out of the 420 study participants, 52.1% were male and 47.9% were female, with a mean age of 70.70 years (SD ± 8.18 years). The prevalence of multimorbidity was 50%, with males having a mean number of morbidities of 1.38 ± 1.06 and females having a mean number of morbidities of 1.44 ± 0.99. As the age increased, the strength of association of multimorbidity also increased. Literacy level, marital status, occupation (business, farmer, housewife), and family history were statistically associated with multimorbidity in the study participants in both bivariate and multivariate analyses (P < 0.05). Conclusion: The study provides valuable insights into the health status of the elderly population in the rural area and can be used to inform healthcare policies and interventions aimed at improving the health outcomes of this population.

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BACKGROUND: India is experiencing a rising burden of chronic disease multimorbidity due to an aging population and epidemiological transition. Older adults residing in urban slums are especially vulnerable due to challenges in managing multimorbidity amid deprived living conditions. This study aimed to assess the prevalence of multimorbidity, associated health literacy, and quality of life impact in this population. METHODS: A community-based cross-sectional study was conducted among 800 adults aged ≥ 65 years in an urban slum in Gujarat, India. Data on sociodemographics, physical and mental health conditions, health literacy (HLS-SF-47), quality of life (Short Form-12 scale), and social determinants of health were collected. Multimorbidity is ≥ 2 physical or mental health conditions in one person. RESULTS: The prevalence of multimorbidity was 62.5% (500/800). Multimorbidity was significantly associated with lower physical component summary (PCS) and mental component summary (MCS) scores on the SF-12 (p < 0.001). After adjusting for sociodemographic variables, the odds ratio of 0.81 indicates that for every 1 unit increase in the health literacy score, the odds of having multimorbidity decrease by 19%. Older age within the older adult cohort (per year increase) was associated with greater odds of multimorbidity (AOR 1.05, 95% CI 1.02-1.09). Physical inactivity (AOR 1.68, 95% CI 1.027-2.77) and lack of social support (AOR 1.57, 95% CI 1.01-2.45) also increased the likelihood of multimorbidity. CONCLUSION: There is a substantial burden of multimorbidity among urban slum dwellers aged ≥ 65 years in India, strongly linked to modifiable risk factors like poor health literacy and social determinants of health. Targeted interventions are essential to alleviate this disproportionate burden among urban slum older adults.

Asunto(s)

Alfabetización en Salud , Multimorbilidad , Áreas de Pobreza , Calidad de Vida , Población Urbana , Humanos , India/epidemiología , Estudios Transversales , Masculino , Femenino , Anciano , Alfabetización en Salud/estadística & datos numéricos , Población Urbana/estadística & datos numéricos , Anciano de 80 o más Años , Prevalencia , Determinantes Sociales de la Salud

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Background Effective self-care is crucial for maintaining health among older adults in resource-constrained communities. This study examined self-care practices, health-seeking behaviors, and associated factors among older adults in urban slums in India. Materials and methods A mixed methods study was conducted among 432 adults aged ≥65 years. Participants were selected through multistage random sampling from five slum areas. Self-care practices, health-seeking behaviors, demographic information, chronic conditions, self-efficacy, and health literacy were assessed through interviews. The qualitative data was explored through in-depth interviews with 30 participants. Results Inadequate health literacy (194, 45%) and low self-efficacy (162, 37.5%) were common. While 324 (75%) had an adequate diet and 378 (87.5%) took medications properly, only 86 (20%) monitored diabetes complications. Only 194 (45%) of the patients underwent recommended cancer screening, and 324 (75%) of the patients saw doctors ≥twice a year. Age, sex, education, income, comorbidities, self-efficacy, and health literacy had significant associations. Alongside facilitators such as social support, barriers such as limited healthcare access and suboptimal prevention orientation emerged. Conclusion Suboptimal prevention orientation and overreliance on secondary care instead of self-care among elderly people are problematic given the limited use of geriatric services. Grassroots health workers can improve health literacy and self-efficacy through home visits to enable self-care. Healthcare access inequities for vulnerable groups merit policy attention.

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BACKGROUND: Tuberculosis (TB) remains a major public health challenge in India. Healthcare workers (HCWs) and TB patients are critical to disease transmission and prevention. This study evaluated and compared knowledge, attitudes, and practices related to TB infection control. MATERIALS AND METHODS: This was a mixed-method study that included a cross-sectional survey conducted among 167 HCWs and 346 patients with TB at tertiary hospitals in western Gujarat using a validated questionnaire. Additionally, 20 HCWs and 20 patients were interviewed to gain qualitative insights. Between-group analyses were performed, and multivariate regressions identified predictors of knowledge and compliance, while thematic analysis explored qualitative insights. RESULTS: A total of 142/167 (85.0%) HCWs had good knowledge, whereas 208/346 (60.1%) patients had good knowledge. A total of 151/167 (90.4%) HCWs had positive attitudes, whereas 242/346 (69.9%) patients had positive attitudes. A total of 159/167 (95.2%) HCWs practiced good preventive behaviors, whereas 225/346 (65.0%) patients did. HCWs demonstrated significantly higher mean knowledge scores (9.2 vs. 7.1, p<0.001) and higher median attitude scores (ranging from 5 with IQR 4-5 to 5 with IQR 5-5) compared to patients (ranging from 4 with IQR 3-5 to 5 with IQR 4-5) across all attitude statements assessed using the Likert scale (p<0.001). Being an HCW was associated with good knowledge (adjusted odds ratio (AOR) 2.5, 95% CI 1.5-4.1), positive attitudes (AOR 2.2, 95% CI 1.4-3.6), and good practices (AOR 3.1, 95% CI 1.8-5.2). The qualitative themes highlighted the need for accessible education, clear communication, adequate resourcing, and personal responsibility. CONCLUSION: This study identified gaps in TB prevention knowledge and practices among patients compared to those among HCWs in India. Tailored educational initiatives, optimized health communication, improved infrastructure, and accessible messaging can help individuals assimilate appropriate infection control behaviors among healthcare system actors and communities toward ending TB.