Economic burden of suicide deaths in India (2019): a retrospective, cross-sectional study.

Background: India has the highest number of suicide deaths in the world. Suicide prevention requires policy attention and resource allocation. Evidence of economic losses due to disease burden can influence such allocations. We assessed the economic burden and its distribution across states and demographic groups in India. Methods: We used the human capital approach in this retrospective cross-sectional analysis to assess the economic burden of suicide in India for the year 2019 for 28 Indian states and 3 union territories (UTs). We calculated the monetary value for the years of life lost disaggregated by states, age groups, and sexes. For sensitivity, we present a library of estimates using different discount rates, life expectancy thresholds, and estimates specific to the populations that can participate in the workforce. Findings: The national economic burden of suicide was US$ 16,749,079,455 (95% Uncertainty Interval: 11,913,034,910-22,404,233,468). The top three states, Karnataka, Tamil Nadu, and Maharashtra, contributed to 44.82% of the total burden in India. The age group 20-34 years had the largest suicide burden and contributed to 53.05% of the overall national economic burden (US$ 8,885,436,385 [6,493,912,818-11,694,138,884]). Twenty states and UTs had a greater economic burden for females than males. Interpretation: The current analysis ascertains a high economic burden of suicide among the Indian youth and females, necessitating concerted multisectoral efforts and immediate investments. Funding: None.

Assessing the societal value of health lost to alcohol use in India compared to excise taxes on alcohol sales.

INTRODUCTION: We retrospectively studied the societal value of lost health due to alcohol use and compared it with excise taxes on alcohol sales for India in 2019. METHODS: We estimated the overall alcohol-attributable disease burden using disability-adjusted life-years (DALY) for India and its 30 states for all causes with alcohol use as a risk factor from the GBD 2019 Study. The societal value of lost health was calculated using value of life-year (VLY) approach by multiplying region-specific factors from 'Global Health 2035', 2019-2020 GDP per capita and DALYs. We acquired the national and state-level (top 10 states) alcohol sales excise taxes from the Reserve Bank of India. Net losses were assessed by subtracting the revenue collected from excise taxes from VLY. All values are in Indian rupees (INR). RESULTS: The societal value of health lost due to alcohol use in India was 6.2 (95% uncertainty interval 4.8, 7.8) trillion INR in 2019. The absolute state-level values varied from 7.3 (4.7, 10.4) billion INR in Mizoram to 1.1 (0.8, 1.4) trillion INR in Maharashtra. The per capita values ranged from 950.2 (642.9, 1285.3) INR for Bihar to 61,332 (39,273.7, 87,288.5) INR for Mizoram. Nationally, excise tax collection from alcohol sales was 1.8 trillion INR depicting a net loss of 4.4 (3.1, 6.0) trillion. Maharashtra had the largest absolute and per capita net loss. DISCUSSION AND CONCLUSIONS: These are novel estimates depicting the net losses due to alcohol use in India with direct policy implications to disincentivise sales and adequately raise taxes.

Temperature and firearm violence in four US cities: testing competing hypotheses.

INTRODUCTION: Firearm violence is a major public health issue in the USA. There is growing evidence that firearm violence is associated with higher ambient temperatures. The aim of this study was to test competing hypotheses that could explain associations between temperature and firearm violence: temperature-aggression theory and routine activities theory. METHODS: We examined associations between elevated daily temperatures and shooting incidents in four US cities: Chicago, Illinois; Cincinnati, Ohio; New York, New York and Philadelphia, Pennsylvania. Temperature was operationalised using two different measures: daily maximum temperature and deviations of the daily maximum temperature from 30-year averages. Generalised linear autoregressive moving average models related temperature to shooting incidence while controlling for seasonal effects. RESULTS: As maximum daily temperature deviates from the expected, there was an association with increased shooting incidents in all four cities (eg, New York: b=0.014, 95% CI=0.011 to 0.017). An interaction term created by multiplying daily maximum temperature by the daily difference of maximum temperature from a 30-year average was also found to have a positive association in all four cities (eg, New York: b=0.020, 95% CI=0.016 to 0.025). DISCUSSION: These findings accord with previous studies demonstrating a positive relationship between temperature and firearm violence and further support temperature-aggression theory as the primary causal mechanism.

Corrigendum to "Indexing blood banking performance in India: A retrospective cross-sectional analysis of states and districts" [Dialogues in Health: Volume 3 (2023)-Article 100160].

[This corrects the article DOI: 10.1016/j.dialog.2023.100160.].

Screen Use Time and Its Association With Mental Health Issues in Young Adults in India: Protocol for a Cross-Sectional Study.

BACKGROUND: Screen use time has increased in the past decade owing to the increased availability and accessibility of digital devices and the internet. Several studies have shown an association between increased screen use time and mental health issues such as anxiety and depression. However, studies in the young adult population-a demographic with high screen use-and in low- and middle-income country settings are limited. OBJECTIVE: This protocol describes a study that aims to measure self-reported screen use times and patterns in young adults (18-24 y) in India and assess if increased screen use time is associated with poorer mental well-being. METHODS: This protocol describes a cross-sectional study of a pan-India, web-based convenience sample of young adults (18-24 y) with access to digital devices with a screen and a minimum of secondary school education. Participants will be recruited through people in the professional networks of the investigators, which includes pediatricians. The survey will also be distributed via the social media pages of our organization (X [X Corp], Instagram [Meta], Facebook [Meta], etc). Sociodemographic details will be collected through a questionnaire designed by the authors; screen use time and patterns will be assessed using an adaptation of the Screen Time Questionnaire to include data on different apps and websites used on digital devices; and mental health parameters will be gauged using the Warwick-Edinburgh Mental Well-Being Scale, Generalized Anxiety Disorder Scale, Perceived Stress Scale, and Patient Health Questionnaire. For statistical analysis, we will consider the following variables: (1) the primary independent variable is screen use time; (2) other independent variables include age, gender, residence: rural or urban, educational qualifications, employment status, stress associated with familial financial status, average sleep time, number of people living in a house or rooms in that house, BMI, substance use, and past psychiatric history; and (3) dependent variables include mental well-being, depression, anxiety, and perceived stress. To quantify the association between screen use time and mental health, we will perform a Bayesian multivariate multiple regression analysis that models the possibility of multiple alternative hypotheses while accounting for relevant sociodemographic covariables. RESULTS: The survey instrument has been designed, and feedback has been obtained from the domain experts and members of our organization whose profile is similar to the potential study participants. The final data received after this study has been conducted will be analyzed and shared. As of January 2023, we have not yet initiated the data collection. CONCLUSIONS: Based on the findings of this study, we will be able to establish a correlation between device- and use-specific screen use time and various mental health parameters. This will provide a direction to develop screen use time and mental health guidelines among young adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39707.

The association between street construction projects and community violence in New York City.

Introduction: Community violence is a major cause of injury and death in the United States. Empirical studies have identified that some place-based interventions of urban private places, such as remediations of vacant lots and buildings, are associated with reductions in community violence in surrounding areas. The aim of this study was to examine whether routine maintenance and repair of urban public places (e.g., street construction projects) are also associated with reductions in community violence, proxied by violent crime. Method: This staggered adoption difference-in-difference analysis investigated the association between street construction projects and community violence in New York City from 2010-2019, divided into 40 calendar quarters. The units of analysis were street-quarters (n = 155,280). Intervention street-quarters were those with completed projects in 2010-2019; control streets were those where projects were scheduled but not completed before 2019. The outcome of community violence was proxied by counts of crime and violence incidents reported to the New York Police Department, within street-quarters. Results: There were 79,592 street-quarters with any community violence incidents (51.2%). We found that street construction projects were associated with a decrease in reckless endangerment (ATT = -0.013; 95% CI = -0.021, -0.004), robbery (ATT = -0.035; 95% CI = -0.063, -0.007), and weapons offenses (ATT = -0.016; 95% CI = -0.031, -0.001) occurring on street-quarters. Conclusion: Street construction projects may be yet another type of place-based intervention to reduce community violence.