Preventing suicide: a public health approach to a global problem.

Suicide is prevalent in all countries and is largely preventable. The causes of suicide are multiple and varied. Social determinants of suicide are crucial, but to date these have received insufficient policy attention. This paper, which is the first in a Series on taking a public health approach to suicide prevention, argues for a major change in the way we think about suicide and its prevention. This Series paper presents a public health model that emphasises the broad social determinants of suicide and describes a framework through which these might be addressed. We argue for a policy reset that would take national suicide prevention strategies to the next level. Such policies would become whole-of-government endeavours that tackle major social determinants of suicide at their source. We also argue that high-quality data and methodologically rigorous evaluation are integral to this public health approach.

Addressing key risk factors for suicide at a societal level.

A public health approach to suicide prevention recognises the powerful influence of social determinants. In this paper-the fifth in a Series on a public health approach to suicide prevention-we consider four major risk factors for suicide (alcohol use, gambling, domestic violence and abuse, and suicide bereavement) and examine how their influence on suicide is socially determined. Cultural factors and societal responses have an important role in all four risk factors. In the case of alcohol use and gambling, commercial entities are culpable. This Series paper describes a range of universal, selective, and indicated interventions that might address these risk factors, and focuses particularly on key universal interventions that are likely to yield substantial population-level benefits.

Poor coverage of quality-adjusted antenatal care services: a population-level assessment by visit and source of antenatal care services in Bihar state of India.

Background: Despite the evidence on the poor quality of antenatal care (ANC) services, significant gap remains in the understanding of quality-adjusted coverage at the population-level for each ANC visit and by the source of ANC services, and in equity in this coverage. Methods: All births between July 2020 and June 2021 were listed from 261,124 households (91.5% participation) representative of the Bihar state. Mothers of all stillbirths and neonatal deaths, and of 25% random sample of livebirths who survived the neonatal period provided data on each ANC visit up to a maximum of first 4 ANC visits, including the source of ANC services and the services received (weight measurement, blood pressure checked, abdomen checked, urine sample taken, and blood sample taken). An ANC visit was deemed of quality if all of these services were received in that visit. We report the coverage of quality-adjusted ANC services (Q-ANC) for ANC visits 1-4 disaggregated by source of ANC services and wealth index (WI). Weighted proportions are reported to take into account the sampling design. Findings: A total of 30,412 births were reported by 29,517 women, and 7270 (82.1%) of the 8853 eligible women participated. Overall, 19,950 unique ANC visits from 6929 women were available for analysis, of which 41.7%, 13.8% and 44.5% were at Village Health and Nutrition Day (VNHD), public facility, and with a private provider, respectively. A total of 4409 (65.3%) of the 1st ANC visits were undertaken at VHND, with the proportion of private provider ANC visits increasing significantly from ANC visit 1 to ANC visit 4 (p < 0.001). Q-ANC coverage considering all ANC visits was 20.9% (95% CI 20.7-21.2); and was 0.9% (95% CI 0.8-1.0), 29.9% (95% CI 29.2-30.7) and 36.9% (95% CI 36.5-37.4) for ANC visits in VHND, public facilities, and with private provider, respectively. Q-ANC coverage in the public facility was significantly lower in the 4th ANC visit (25.1%; 95% CI 23.4-26.9) as compared with visits 1 to 3, whereas it was the highest for 1st ANC visit with private provider (50.2%; 95% CI 49.2-51.1) and then dropped for visits 2 to 4. Irrespective of the source of ANC services, Q-ANC coverage increased significantly with increasing WI quartile for ANC visits 1 and 2, with WI quartile 3 women having significantly less coverage for ANC visit 3 compared to the rest, and no significant difference seen in the coverage of ANC 4 visit. Varied pattern of Q-ANC coverage by WI for each ANC visit was seen for public facility and private provider visits. Interpretation: With only 2 of 10 ANC visits deemed of adequate quality, sustainable delivery of quality ANC services are needed for every pregnant woman through-out the pregnancy irrespective of gestation period, number of ANC visit, and source of ANC services. Funding: The funding was provided by the India office of the Bill & Melinda Gates Foundation, USA.

Corrigendum to "Review of the India Adolescent Health Strategy in the context of disease burden among adolescentstitle of article" [The Lancet Regional Health - Southeast Asia 20 (2024) 100283].

[This corrects the article DOI: 10.1016/j.lansea.2023.100283.].

Review of the India Adolescent Health Strategy in the context of disease burden among adolescents.

Background: A nuanced understanding of the health needs of adolescents in the context of the India Adolescent Health Strategy (IAHS) is needed to inform policy interventions for improving the health and well-being of adolescents in India. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, we identified the top ten causes of years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs) disaggregated by sex and age group (10-14 and 15-19 years) for India and its states in 2019. To inform the IAHS of refinement or expansion in focus needed to improve adolescent health in India, we reviewed the extent to which the top 10 causes of disease burden are addressed in the IAHS, and the availability of and age- and sex-disaggregation in the service utilisation data for adolescents captured in the Adolescent Friendly Health Clinic monitoring information system (AFHC MIS) and Health Management Information System (HMIS). We also reviewed the availability of and age-and sex-disaggregation in the data capture at the population level for the IAHS outcome indicators in the data sources identified in the IAHS operational framework. Findings: Females in the 10-14 and 15-19 years age groups suffered 6.75 million and 9.25 million DALYs, respectively, 39.1% and 44.2% of which were YLLs; the corresponding DALYs for males were 6.71 million and 9.65 million (42.3% and 41.1% YLLs), respectively. Within the 6 thematic areas of the IAHS, most strategies and indicators identified are for sexual and reproductive health followed by nutrition, and broadly these conditions accounted for YLDs and not YLLs in adolescents. Significant gaps in the IAHS in comparison to the disease burden for fatal diseases and conditions were seen across injuries, communicable diseases, and non-communicable diseases. Injuries accounted for 65.9% and 45.3% of YLLs in males and females aged 15-19 years, and 40.8% in males aged 10-14 years. Specifically, road injuries (15.3%, 95% UI 11.0-18.0) and self-harm (11.3%, 95% UI 8.7-14.2) accounted for most of the injury deaths in 15-19 years whereas drowning (7.7% 95% UI 5.8-9.6) and road injuries (6.9%, 95% UI 4.7-8.6) accounted for the most injury deaths in 10-14 years males. However, only self-harm and gender-based violence are specifically addressed in the IAHS with non-specific interventions for other injuries. Diarrhoea, lower respiratory infections, malaria, encephalitis, tuberculosis, typhoid, cirrhosis, and hepatitis are the other disease conditions accounting for YLLs and DALYs in adolescents but these are neither addressed in the IAHS nor in service provision under the AFHC MIS. There is no age- or sex-disaggregation in the cause of death data captured in the HMIS to allow an understanding of mortality in adolescents. For the IAHS outcome indicators at the population level, data capture for the 10-14 years irrespective of sex was largely missing from the population surveys and none of the surveys captured data for either females or males aged 15-19 years for physical inactivity and mental health indicators. Interpretation: The considerable differences seen in the IAHS thematic focus as compared with the leading causes of fatal and non-fatal disease burden in adolescents in India, and in the availability of population-level data to monitor the outcome indicators of the IAHS can pose substantial limitations for improving adolescent health in India. The findings in this paper can be utilized by decision makers to refine action aimed at improving adolescent health and well-being. Funding: Bill & Melinda Gates Foundation.

Increase in birthweight coverage of neonatal deaths is needed to monitor low birthweight prevalence in India: lessons from the National Family Health Survey.

BACKGROUND: Low birthweight (LBW), defined as birthweight < 2500gms, is the largest contributor to the malnutrition disability-adjusted-live-years in India. We report on the inadequacy of birthweight data, which is a significant barrier in the understanding of LBW epidemiology, to address malnutrition in India. METHODS: Data from the recent round of the National Family Survey (NFHS-5) were utilised. Birthweight of livebirths in the last 5 years was documented in grams either from the health card or based on mother's recall. We computed the coverage of birthweight measurement availability and the extent of heaping (values of 2500, 3000 and 3500gms) by the place of delivery and by the survival of newborn during the neonatal period. Heaping of > 55% was considered as poor-quality birthweight data. LBW prevalence per 100 livebirths was estimated and extrapolated for under-reporting of birthweight. Findings are reported for India and its 30 states. RESULTS: Birthweight measurement coverage irrespective of the place of delivery was (89·8%; 95% CI 89·7-90) for India, and varied by 2 times among the states with the highest coverage in Tamil Nadu (99·3%) and the lowest in Nagaland (49·7%). Home deliveries had the least coverage of birthweight measurement (49.6%; 95% CI 49.0-50.1) as compared with public health facility (96.3%; 95% CI 96.2-96.3) and private health facility (96%; 95% CI 95.8-96.1) deliveries. This coverage was 66·5% (95% CI 65·2-67·7) among neonatal deaths as compared with 90.4 (95% CI 90.3-90.6) for livebirths who survived the neonatal period for India. The proportion of health card as the data source increased for livebirths born in year 2015 to year 2020 but then dropped for livebirths born in year 2021 (p < 0.001). The proportion of heaping was 52·0% (95% CI 51·7-52·2) in the recorded birthweight for India, and heaping > 55% was seen in 10 states irrespective of the type data source; and 3 states in addition had heaping > 55% in mother's recall. LBW prevalence was estimated at 17·4% (95% CI 17·3-17·6) for India, and ranged from 4.5% in Nagaland and Mizoram to 22.5% in Punjab for livebirths for whom birthweight was available. We estimated LBW at 77.8% for whom birthweight was not available, and the adjusted LBW prevalence for all livebirths was estimated at 23.5% (95% CI 23.3-23.8) for India. CONCLUSIONS: Without measuring birthweight for every newborn irrespective of the survival and place of delivery, India may not able to address reduction in low birthweight and neonatal mortality effectively to meet global or national targets.

Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar.

INTRODUCTION: We report on the stillbirth rate (SBR) and associated risk factors for births during the COVID-19 pandemic, and change in SBR between prepandemic (2016) and pandemic periods in the Indian state of Bihar. METHODS: Births between July 2020 and June 2021 (91.5% participation) representative of Bihar were listed. Stillbirth was defined as fetal death with gestation period of ≥7 months where the fetus did not show any sign of life. Detailed interviews were conducted for all stillbirths and neonatal deaths, and for 25% random sample of surviving live births. We estimated overall SBR, and during COVID-19 peak and non-peak periods per 1000 births. Multiple logistic regression models were run to assess risk factors for stillbirth. The change in SBR for Bihar from 2016 to 2020-2021 was estimated. RESULTS: We identified 582 stillbirths in 30 412 births with an estimated SBR of 19.1 per 1000 births (95% CI 17.7 to 20.7); SBR was significantly higher in private facility (38.4; 95% CI 34.3 to 43.0) than in public facility (8.6; 95% CI 7.3 to 10.1) births, and for COVID-19 peak (21.2; 95% CI 19.2 to 23.4) than non-peak period (16.3; 95% CI 14.2 to 18.6) births. Pregnancies with the last pregnancy trimester during the COVID-19 peak period had 40.4% (95% CI 10.3% to 70.4%) higher SBR than those who did not. Risk factor associations for stillbirths were similar between the COVID-19 peak and non-peak periods, with gestation age of <8 months with the highest odds of stillbirth followed by referred deliveries and deliveries in private health facilities. A statistically significant increase of 24.3% and 68.9% in overall SBR and intrapartum SBR was seen between 2016 and 2020-2021, respectively. CONCLUSIONS: This study documented an increase in SBR during the COVID-19 pandemic as compared with the prepandemic period, and the varied SBR based on the intensity of the COVID-19 pandemic and by the place of delivery.

Sociodemographic characteristics of women who died by suicide in India from 2014 to 2020: findings from surveillance data.

BACKGROUND: Women in India have twice the suicide death rate (SDR) compared with the global average for women. The aim of this study is to present a systematic understanding of sociodemographic risk factors, reasons for suicide deaths, and methods of suicide among women in India at the state level over time. METHODS: Administrative data on suicide deaths among women by education level, marital status, and occupation, and reason for and method of suicide were extracted from the National Crimes Record Bureau reports for years 2014 to 2020. We extrapolated SDR at the population level for Indian women by education, marital status, and occupation to understand the sociodemography of these suicide deaths for India and its states. We reported the reasons for and methods of suicide deaths among Indian women at the state level over this period. FINDINGS: SDR was higher among women with education of class 6 or more (10·2; 95% CI 10·1-10·4) than those with no education (3·8; 3·7-3·9) or education until class 5 (5·4; 5·2-5·5) in India in 2020, with similar patterns in most states. SDR declined between 2014 and 2020 for women with education until class 5. Women currently married accounted for 28 085 (63·1%) of 44 498 suicide deaths in India, 8336 (56·2%) of 14 840 in less developed states, and 19 661 (66·9%) of 29 407 in more developed states in 2020. For India, women currently married had a significantly higher SDR (8·1; 8·0-8·2) than those never married in 2014. However, women who never married had a significantly higher SDR (8·4; 8·2-8·5) in 2020 than those who were currently married. Many individual states in 2020 had similar SDR for women who never married and those who are currently married. Housewife as an occupation accounted for 50% or more of suicide deaths from 2014 to 2020 in India and its states. Family problems was the most common reason for suicide from 2014 to 2020, accounting for 16 140 (36·3%) of 44 498 suicide deaths in India, 5268 (35·5%) of 14 840 in less developed states, and 10 803 (36·7%) of 29 407 in more developed states in 2020. Hanging was the leading mean of suicide from 2014 to 2020. Insecticide or poison consumption was the second leading cause of suicide, accounting for 2228 (15·0%) of all 14 840 suicide deaths in less developed states and 5753 (19·6%) of 29 407 in more developed states, with a near 70·0% increase in the use of this method from 2014 to 2020. INTERPRETATION: The higher SDR among women who have received an education, similar SDR between women currently married and never married, and variations in the reasons for and means of suicide at the state level highlight the need to incorporate sociological insights into how the external social environment can matter for women to better understand the complexity of suicide and determine how to effectively intervene. FUNDING: Bill & Melinda Gates Foundation.

Stillbirth undercount in the sample registration system and national family health survey, India.

Objective: To assess the extent of under-reporting of stillbirths in India by comparing stillbirth and neonatal mortality rates from two national data sources and to review possible reasons for undercounting of stillbirths. Methods: We extracted data on stillbirth and neonatal mortality rates from the annual reports for 2016-2020 of the sample registration system, the Indian government's main source of vital statistics. We compared the data with estimates of stillbirth and neonatal mortality rates from the fifth round of the Indian national family health survey covering events from 2016-2021. We reviewed the questionnaires and manuals from both surveys and compared the sample registration system's verbal autopsy tool with other international tools. Findings: The stillbirth rate for India from the national family health survey (9.7 stillbirths per 1000 births; 95% confidence interval: 9.2-10.1) was 2.6 times higher than the average rate reported in the sample registration system over 2016-2020 (3.8 stillbirths per 1000 births). However, neonatal mortality rates in the two data sources were similar. We identified issues with the definition of stillbirth, documentation of gestation period, and categorization of miscarriages and abortions that could result in undercounting stillbirths in the sample registration system. In the national family health survey only one adverse pregnancy outcome is documented, irrespective of the number of adverse pregnancy outcomes in the given period. Conclusion: For India to attain its 2030 target of single-digit stillbirth rate and to monitor actions to end preventable stillbirths, efforts are needed to improve the documentation of stillbirths in its data collection systems.

Assessment of quality of antenatal care services in public sector facilities in India.

OBJECTIVES: We undertook assessment of quality of antenatal care (ANC) services in public sector facilities in the Indian state of Bihar state delivered under the national ANC programme (Pradhan Mantri Surakshit Matritva Abhiyan, PMSMA). SETTING: Three community health centres and one subdistrict hospital each in two randomly selected districts of Bihar. PARTICIPANTS: Pregnant women who sought ANC services under PMSMA irrespective of the pregnancy trimester. PRIMARY AND SECONDARY MEASURES: Quality ANC services were considered if a woman received all of these services in that visit-weight, blood pressure and abdomen check, urine and blood sample taken, and were given iron and folic acid and calcium tablets. The process of ANC service provision was documented. RESULTS: Eight hundred and fourteen (94.5% participation) women participated. Coverage of quality ANC services was 30.4% (95% CI 27.3% to 33.7%) irrespective of pregnancy trimester, and was similar in both districts and ranged 3%-83.1% across the facilities. Quality ANC service coverage was significantly lower for women in the first trimester of pregnancy (6.8%, 95% CI 3.3% to 13.6%) as compared with those in the second (34.4%, 95% CI 29.9% to 39.1%) and third (32.9%, 95% CI 27.9% to 38.3%) trimester of pregnancy. Individually, the coverage of weight and blood pressure check-up, receipt of iron folic acid (IFA) and calcium tablets, and blood sample collection was >85%. The coverage of urine sample collection was 46.3% (95% CI 42.9% to 49.7%) and of abdomen check-up was 62% (95% CI 58.6% to 65.3%). Poor information sharing post check-up was done with the pregnant women. Varied implementation of ANC service provision was seen in the facilities as compared with the PMSMA guidelines, in particular with laboratory diagnostics and doctor consultation. Task shifting from doctors to ANMs was observed in all facilities. CONCLUSIONS: Grossly inadequate quality ANC services under the PMSMA needs urgent attention to improve maternal and neonatal health outcomes.

Suicide numbers during the first 9-15 months of the COVID-19 pandemic compared with pre-existing trends: An interrupted time series analysis in 33 countries.

Background: Predicted increases in suicide were not generally observed in the early months of the COVID-19 pandemic. However, the picture may be changing and patterns might vary across demographic groups. We aimed to provide a timely, granular picture of the pandemic's impact on suicides globally. Methods: We identified suicide data from official public-sector sources for countries/areas-within-countries, searching websites and academic literature and contacting data custodians and authors as necessary. We sent our first data request on 22nd June 2021 and stopped collecting data on 31st October 2021. We used interrupted time series (ITS) analyses to model the association between the pandemic's emergence and total suicides and suicides by sex-, age- and sex-by-age in each country/area-within-country. We compared the observed and expected numbers of suicides in the pandemic's first nine and first 10-15 months and used meta-regression to explore sources of variation. Findings: We sourced data from 33 countries (24 high-income, six upper-middle-income, three lower-middle-income; 25 with whole-country data, 12 with data for area(s)-within-the-country, four with both). There was no evidence of greater-than-expected numbers of suicides in the majority of countries/areas-within-countries in any analysis; more commonly, there was evidence of lower-than-expected numbers. Certain sex, age and sex-by-age groups stood out as potentially concerning, but these were not consistent across countries/areas-within-countries. In the meta-regression, different patterns were not explained by countries' COVID-19 mortality rate, stringency of public health response, economic support level, or presence of a national suicide prevention strategy. Nor were they explained by countries' income level, although the meta-regression only included data from high-income and upper-middle-income countries, and there were suggestions from the ITS analyses that lower-middle-income countries fared less well. Interpretation: Although there are some countries/areas-within-countries where overall suicide numbers and numbers for certain sex- and age-based groups are greater-than-expected, these countries/areas-within-countries are in the minority. Any upward movement in suicide numbers in any place or group is concerning, and we need to remain alert to and respond to changes as the pandemic and its mental health and economic consequences continue. Funding: None.

Sub-national patterns and correlates of depression among adults aged 45 years and older: findings from wave 1 of the Longitudinal Ageing Study in India.

BACKGROUND: Depression is a major public health challenge linked with several poor health outcomes and disabilities among adults aged 45 years and older in India. We aimed to describe the prevalence of depression and its association with a variety of sociodemographic correlates and co-existing health conditions for this age group in India and its states. METHODS: In this prospective cohort study, data from wave 1 (baseline) of the Longitudinal Ageing Study in India were used to estimate the national and subnational state level age-standardised prevalence of depression-major depressive episodes-using the internationally validated Composite International Diagnostic Interview-Short Form (CIDI-SF) scale. Hierarchical mixed effect multivariate logistic regression models were used to study the sociodemographic correlates and co-existing health conditions of major depressive episodes among the nationally representative sample of 72 250 adults aged 45 years and older from 35 states or union territories (except the state of Sikkim). Associations between depression and self-rated health, co-morbid conditions, functional health, and life satisfaction measures were also examined. FINDINGS: A total of 40 335 (58·3%) females and 29 407 (41·7%) males aged 45 to 116 years (median age 58 years) participated. The overall age-standardised prevalence of depression based on CIDI-SF scale was 5·7% (95% CI 5·5-5·8) compared with 0·5% (0·5-0·6) self-reported prevalence of depression among adults aged 45 years and older in India. Wide sub-national variations were seen in depression prevalence, ranging from 0·8% (95% CI 0·3-1·3) in Mizoram state to 12·9% (11·6-14·2) in Madhya Pradesh. Prevalence was higher in females (6·3% [95% CI 6·1-6·6] vs 4·3% [4·1-4·6]) for India, and this higher prevalence was more pronounced in some of the northern states. The risk of depression was higher in those residing in rural areas, widowed, with no or low education, and in the poorest quintile. Depression showed a strong positive association with poor self-rated health (OR 2·39 [95% CI 2·21-2·59]; p<0·0001), with one or more limitations in the activities of daily living (ADL; OR 1·60 [1·46-1·75]; p<0·0001), instrumental ADL limitations (OR 1·51 [1·40-1·64]; p<0·0001), and low cognitive judgment of life satisfaction (OR 1·94 [95% CI 1·78-2·10]; p<0·0001). INTERPRETATION: Despite the substantial burden, depression remains undiagnosed and strongly linked with poor health and wellbeing outcomes in adults aged 45 years and older in India. The ageing population of India and the subnational variations amplify the implications of this new evidence to address the substantial gaps in prevention and treatment of depression. FUNDING: LASI was funded by the Ministry of Health and Family Welfare, Government of India, the National Institute of Ageing, USA and the United Nations Population Fund, India.

Implications of the availability and distribution of birth weight on addressing neonatal mortality: population-based assessment from Bihar state of India.

OBJECTIVE: A large proportion of neonatal deaths in India are attributable to low birth weight (LBW). We report population-based distribution and determinants of birth weight in Bihar state, and on the perceptions about birth weight among carers. DESIGN: A cross-sectional household survey in a state representative sample of 6007 live births born in 2018-2019. Mothers provided detailed interviews on sociodemographic characteristics and birth weight, and their perceptions on LBW (birth weight <2500 g). We report on birth weight availability, LBW prevalence, neonatal mortality rate (NMR) by birth weight and perceptions of mothers on LBW implications. SETTING: Bihar state, India. PARTICIPANTS: Women with live birth between October 2018 and September 2019. RESULTS: A total of 5021 (83.5%) live births participated, and 3939 (78.4%) were weighed at birth. LBW prevalence among those with available birth weight was 18.4% (95% CI 17.1 to 19.7). Majority (87.5%) of the live births born at home were not weighed at birth. LBW prevalence decreased and birth weight ≥2500 g increased significantly with increasing wealth index quartile. NMR was significantly higher in live births weighing <1500 g (11.3%; 95% CI 5.1 to 23.1) and 1500-1999 g (8.0%; 95% CI 4.6 to 13.6) than those weighing ≥2500 g (1.3%, 95% CI 0.9 to 1.7). Assuming proportional correspondence of LBW and NMR in live births with and without birth weight, the estimated LBW among those without birth weight was 35.5% (95% CI 33.0 to 38.0) and among all live births irrespective of birth weight availability was 23.0% (95% CI 21.9 to 24.2). 70% of mothers considered LBW to be a sign of sickness, 59.5% perceived it as a risk of developing other illnesses and 8.6% as having an increased probability of death. CONCLUSIONS: Missing birth weight is substantially compromising the planning of interventions to address LBW at the population-level. Variations of LBW by place of delivery and sociodemographic indicators, and the perceptions of carers about LBW can facilitate appropriate actions to address LBW and the associated neonatal mortality.

Suicide in India during the first year of the COVID-19 pandemic.

BACKGROUND: There has been substantial discussion as to whether the mental health and socio-economic consequences of the COVID-19 pandemic might impact suicide rates. Although India accounts for the largest proportion of global suicides, the early impacts of the COVID-19 pandemic on suicide rates in this country are unknown. METHODS: National Crime Records Bureau (NCRB) data were used to calculate annual suicide rates for the period 2010-2020, stratified by sex and state. Rate Ratios (RRs) stratified by sex and state were calculated to estimate the extent of change in suicide rates. RESULTS: Suicide rates in India generally showed a decreasing trend from 2010 until 2017, with the trend reversing after this period, particularly for males. Among males and females, the highest increase post 2017 was noted in 2020 (compared to 2017) (males: RR = 1.18 95% UI 1.17-1.19; females: RR = 1.05 95% UI 1.03-1.06). LIMITATION: Suicide rates based on the NCRB data might be an underestimation of the true suicide rates. CONCLUSION: Suicide rates in India increased during the first year of the COVID-19 pandemic, and although the increase in suicide rates, especially among males, predates the pandemic, the increase in suicide rates was highest in 2020, compared to increases in previous years. Further research is warranted to understand the potential ongoing impact of the COVID-19 pandemic on suicide in India.