Chanda Maurya

Background: Droughts, flash floods, rail accidents, and riots are relatively regular occurrences for those living in many low- and middle-income countries like India. While such natural and human-made disasters put everyone in harm’s way, their toll on specific segments of society–like older adults–is the heaviest. Therefore, in this study, we examine (1) the prevalence of natural and human-made disasters in India and (2) the association between natural and human-made disasters and several physical and mental health outcomes among older Indians. Methods: A cross-sectional study was conducted utilizing data come from the 2017–18 wave 1 of the nationally representative Longitudinal Ageing Study in India, comprising a sample of 29,333 older adults (14,120 males and 15,213 females) aged 60 years and above. Multivariate random intercept multilevel logistic regression analysis is used to examine the association between natural and human-made disasters and poor self-rated health, difficulty in activities of daily living, difficulty in instrumental activities of daily living, communicable diseases, non-communicable diseases, depressive symptoms, and psychiatric disorder. Results: Overall, 3.58% of older adults reported that they have encountered any type of natural or human-made disaster in the past five years. Compared to those who did not experience any (natural or human-made) disaster, older adults who experienced any disaster had a higher prevalence of poor self-rated health (33.4% vs 23.31%), difficulty in activities of daily living (33.94% vs 23.00%), difficulty in instrumental activities of daily living (60.09% vs 47.70%), communicable diseases (49.57% vs 25.86%), depressive symptoms (17.30% vs 8.06%) and psychiatric disorders (3.42% vs 2.78%). After adjusting for the selected variables and the contextual effect, the odds of poor self-rated health (1.64 [1.40, 1.92]), difficulty in activities of daily living and instrumental activities of daily living (1.89 [1.61, 2.21] and 1.63 [1.40, 1.89]), communicable and non-communicable diseases (2.12 [1.83, 2.46] and 1.38 [1.20, 1.60]), depressive symptoms and psychiatric disorder (1.67 [1.55, 2.05] and 1.52 [1.33, 2.18]) were significantly higher among older adults who experienced a natural or human-made disaster than their counterparts without such an experience. Conclusions: Relative to their non-exposed counterparts, older Indians who survived natural or human-made disasters endured an inflated risk of poor self-rated health, functional difficulties, communicable and non-communicable diseases, depressive symptoms, and psychiatric disorders. As such, post-disaster efforts should be grounded in policies and programs that address disaster-related trauma and diseases and improve the functional, physical, and psychological facets of health among older disaster survivors.

Introduction: In an online era like today, the relationship between social media and depression among adolescents and young adults is erratic and still continues to be a debatable subject. The study aims to examine the association and bi-directional relationship between social media usage and depressive symptoms among the adolescent boys and girls in India. Methods: The study uses data from two waves of Understanding the Lives of Adolescents and Young Adults (UDAYA) project survey conducted in two Indian states of Uttar Pradesh and Bihar. Depression was measured by a Patient Health Questionnaire. Logistic regression has been used for analyzing the data comprising the same time period, whereas the bidirectional relationship between two time periods has been evaluated by Cross-Lagged Path Model. Result: Findings suggest that the percentage of moderate depressive symptoms increased from 1.7% to 3.0% from Wave 1 to Wave 2. Depression among adolescent girls increased slightly from wave 1 to wave 2 whereas a slight decrement was noticed in the moderate form of depressive symptom among adolescent girls using social media for the two waves. Socioeconomic factors like education, age, gender played an important role in affecting depression among adolescents in both the Wave of the survey. The path relationship reveals that social media users in Wave 1 [β=0.22, p<0.001] were positively associated with social media users in Wave 2. Similar patterns were observed for depressive symptoms at both the waves of the survey. However, cross lagged relations between social media use and depression could not be established between the survey periods. Conclusion: A significant degree of association was found between social media use and depression among adolescent boys and girls in the study. The present study concludes that factors like age, gender and education showed significant relationships with social media use and depression.

The study aimed to examine the effect of witnessing inter-parental violence and experiencing childhood abuse on victimization of intimate partner violence (IPV) after marriage among adolescent and young girls. Data were drawn from the second wave of the Understanding the lives of adolescents and young adults (UDAYA) survey (2018–2019). The sample size was 5480 married adolescent and young girls aged 13–23 years. The outcome variable of the study was the victimization of IPV. Descriptive statistics, bivariate analysis and structural equation modelling (SEM) were performed. A total of 39% of married adolescent and young girls experienced physical violence, followed by sexual violence (35%) and emotional violence (28%) by their partner. Around 30% of respondents witnessed inter-parental violence, and 32% of the participants were beaten by their parents during childhood. Participants who had witnessed inter-parental violence were significantly correlated with experiencing childhood abuse, and this association was positively correlated with exposure to IPV in adolescence and young adulthood. Further, the parameter estimates of the indicators of IPV were highest for emotional violence (1.10) followed by physical violence (1.00) and sexual violence (0.62). Witnessing inter-parental violence significantly increases parents’ physical violence to adolescents and young adult girls (β = 0.49, P<0.001, CI: 0.47–0.51). No tie between witnessing inter-parental violence and childhood abuse mediates their effect on later victimization of IPV. The findings indicate that witnessing inter-parental violence is a strong risk factor for IPV victimization among adolescent and young adult girls. Our findings advocate prerequisite collaborative effort with multiple service providers for greater empowerment at national, state, community, and family levels to achieve SDG goals pertaining to eliminating violence against women.

Introduction: In an online era like today, the relationship between social media and depression among adolescents and young adults is erratic and still continues to be a debatable subject. The study aims to examine the association and bi-directional relationship between social media usage and depressive symptoms among the adolescent boys and girls in India. Methods: The study uses data from two waves of Understanding the Lives of Adolescents and Young Adults (UDAYA) project survey conducted in two Indian states of Uttar Pradesh and Bihar. Depression was measured by a Patient Health Questionnaire. Logistic regression has been used for analyzing the data comprising the same time period, whereas the bidirectional relationship between two time periods has been evaluated by Cross-Lagged Path Model. Result: Findings suggest that the percentage of moderate depressive symptoms increased from 1.7% to 3.0% from Wave 1 to Wave 2. Depression among adolescent girls increased slightly from wave 1 to wave 2 whereas a slight decrement was noticed in the moderate form of depressive symptom among adolescent girls using social media for the two waves. Socioeconomic factors like education, age, gender played an important role in affecting depression among adolescents in both the Wave of the survey. The path relationship reveals that social media users in Wave 1 [β=0.22, pConclusion: A significant degree of association was found between social media use and depression among adolescent boys and girls in the study. The present study concludes that factors like age, gender and education showed significant relationships with social media use and depression.

Background: With the rapid advancement and revolutionization of information and communication technologies, adolescents and young adults use smartphones, the internet, and social networking services more frequently, as a result, the problem of cyber-bullying sharply increases, and eventually it causes psychological issues and negative thoughts in the victims. This study aimed to examine the role of self-efficacy and parental communication in the relationship between cyber victimization and depression among adolescents and young adults in India. Methods: Secondary data analysis was performed on a cross-sectional dataset obtained from the Understanding the Lives of Adolescents and Young Adults (UDAYA) wave 2 survey. The sample included 16,292 adolescent and young adult boys and girls aged 12–23 years. Karl Pearson Correlation coefficient analysis was done to examine the correlation between outcome variable (depressive symptoms), mediator variables (self-efficacy and parental communication) and key explanatory variable (cyber victimization). Further, structural equation modeling technique was applied to examine the hypothesized pathways. Results: Adolescents and young adults being victims of cyber-bullying [β = 0.1357, p < 0.001] and those witnessed inter-parental violence were positively [β = 0.0026, p < 0.001] correlated with depressive symptoms. Self-efficacy and parental communication were negatively related to depressive symptoms among adolescents and young adults. There was a significant positive relationship between cyber victimization [β = 0.258, p < 0.001] and depressive symptoms. Cyber victimization was positively related to self-efficacy [β = 0.043, p < 0.001] among adolescents and young adults. Self-efficacy [β= -0.150, p < 0.001] and parental communication [β=-0.261, p < 0.001] reduced depressive symptoms among the participants. Conclusions: The findings suggest that adolescents and young adults who are victims of cyber-bully may have depressive symptoms and their mental health can be improved through the enhancement of self-efficacy and increased parental communication. Improved peer attitudes and familial support for empowering cyber victims should be taken into account while framing programs and interventions.