| Literature DB >> 35107540 |
Ademar Moreira Pires1, Júlia Gondim Maia Reis2, Flávia Megda Garcia2, Guilherme Augusto Veloso3, Ana Paula Souto Melo4, Mohsen Naghavi5, Valéria Maria de Azeredo Passos1.
Abstract
INTRODUCTION: Older adults present a higher risk of suicide, and Brazil is experiencing a fast population aging. To understand the impact of demographic transition, we compared Brazilian suicide mortality rates (MR) among adults (50+ years) with global rates, those from one high-income country, and those from one middle-income country. Looking for regional disparities, the MR was analyzed among older adults (60+ years) by Brazilian states.Entities:
Mesh:
Year: 2022 PMID: 35107540 PMCID: PMC9009432 DOI: 10.1590/0037-8682-0322-2021
Source DB: PubMed Journal: Rev Soc Bras Med Trop ISSN: 0037-8682 Impact factor: 1.581
Mortality rates by suicide worldwide, in Brazil, England, and Mexico, in 2000 and 2019. Estimates from Global Burden of Disease Study 2019.
| 2000 | 2010 | 2019 | Δ | ||||
|---|---|---|---|---|---|---|---|
| Age standardized | 2010-2019 | ||||||
| Locais | ASMR* | 95% UI | ASMR | 95% UI | ASMR | 95% UI | (95% UI) |
| Global | 14.43 | 13.02-15.11 | 11.24 | 10.21-12.05 | 9.39 | 8.48-10.29 | -0.16 (-0.10. -0.21) |
| Brazil | 6.53 | 6.27-6.71 | 6.04 | 5.88-6.18 | 5.68 | 5.40-6.19 | -0.06 (0.03.-0.10) |
| Mexico | 4.75 | 4.66-4.83 | 5.45 | 5.34-5.54 | 6.01 | 5.1-7.04 | 0.10 (0.28.-0.06) |
| England | 8.21 | 8.03-8.35 | 6.89 | 6.78-7.04 | 6.63 | 6.43-6.95 | -0.04 (0.00.-0.06) |
|
| |||||||
|
| |||||||
| Global | 22.15 | 19.95-23.39 | 17.61 | 15.92-18.67 | 14.25 | 12.76-15.60 | -0.19 (-0.12-0.25) |
| Brazil | 10.51 | 9.94-10.92 | 8.99 | 8.71-9.29 | 8.49 | 8.01-9.31 | -0.06 (0.03.-0.11) |
| Mexico | 5.74 | 5.6-5.89 | 6.16 | 6.01-6.32 | 6.51 | 5.31-7.95 | 0.06 (0.29.-0.13) |
| England | 10.52 | 10.28-10.74 | 10.08 | 9.85-10.32 | 10.2 | 9.83-10.79 | 0.01 (0.06.-0.02) |
|
| |||||||
| Global | 34.96 | 31.31-36.83 | 30.23 | 26.57-32.05 | 24.53 | 21.60-27.14 | -0.19 (-0.13. -0.25) |
| Brazil | 11.57 | 10.76-12.11 | 10.26 | 9.33-10.78 | 9.37 | 8.44-10.22 | -0.09 (-0.01.-0.13) |
| Mexico | 8.26 | 7.63-8.65 | 8.17 | 7.51-8.56 | 7.56 | 6.39-8.81 | -0.07 (0.08.-0.20) |
| England | 9.8 | 9.14-10.18 | 7.27 | 6.69-7.76 | 7.73 | 7.06-8.2 | 0.06 (0.09.0.03) |
ASMR: Age standardized mortality rate; UI: Uncertainty interval.
FIGURE 1:Annual estimates and uncertainty intervals of suicide deaths by 100,000 inhabitants in Brazil, by sex and age group, between 1990 and 2019. Source: IHME, GBD Study Results Tool: http://ghdx.healthdata.org/gbd-results-tool
Time trends in suicide mortality among older adults in Brazil, by sex and Federative Unit, between 2000 and 2019.
| Both sexes | Female | Male | |||||||
|---|---|---|---|---|---|---|---|---|---|
| RR* | 95%CI | Trend | RR | 95%CI | Trend | RR | 95%CI | Trend | |
|
| 0.989 | 0.987-0.991 | Decreasing | 0.989 | 0.985-0.992 | Decreasing | 0.990 | 0.988-0.992 | Decreasing |
|
| |||||||||
| Acre | 0.995 | 0.961-1.032 | Stable | 0.980 | 0.904-1.065 | Stable | 0.988 | 0.951-1.027 | Stable |
| Amapá | 1.000 | 0.957-1.046 | Stable | 1.160 | 1.007-1.399 | Increasing | 0.990 | 0.945-1.039 | Stable |
| Amazonas | 0.990 | 0.972-1.009 | Stable | 0.984 | 0.942-1.028 | Stable | 0.993 | 0.972-1.013 | Stable |
| Pará | 0.995 | 0.982-1.008 | Stable | 0.988 | 0.96-1.018 | Stable | 0.998 | 0.983-1.013 | Stable |
| Rondônia | 0.989 | 0.968-1.011 | Stable | 0.989 | 0.942-1.039 | Stable | 0.993 | 0.969-1.018 | Stable |
| Roraima | 0.991 | 0.949-1.036 | Stable | 1.045 | 0.941-1.179 | Stable | 0.990 | 0.944-1.040 | Stable |
| Tocantins | 1.013 | 0.991-1.035 | Stable | 0.991 | 0.942-1.044 | Stable | 1.017 | 0.993-1.042 | Stable |
|
| |||||||||
| Alagoas | 1.003 | 0.984-1.022 | Stable | 1.002 | 0.965-1.041 | Stable | 1.003 | 0.981-1.026 | Stable |
| Bahia | 1.007 | 1.000-1.014 | Increasing | 0.995 | 0.977-1.013 | Stable | 1.011 | 1.004-1.019 | Increasing |
| Ceará | 1.001 | 0.993-1.008 | Stable | 1.000 | 0.984-1.017 | Stable | 1.002 | 0.993-1.010 | Stable |
| Maranhão | 1.016 | 1.004-1.027 | Increasing | 0.994 | 0.968-1.020 | Stable | 1.023 | 1.010-1.036 | Increasing |
| Paraíba | 1.002 | 0.989-1.015 | Stable | 0.995 | 0.969-1.022 | Stable | 1.006 | 0.991-1.021 | Stable |
| Pernambuco | 1.004 | 0.996-1.013 | Stable | 0.997 | 0.98-1.014 | Stable | 1.008 | 0.998-1.018 | Stable |
| Piaui | 0.992 | 0.979-1.004 | Stable | 0.991 | 0.964-1.019 | Stable | 0.992 | 0.979-1.006 | Stable |
| Rio Grande do Norte | 0.990 | 0.978-1.003 | Stable | 0.989 | 0.962-1.018 | Stable | 0.991 | 0.977-1.005 | Stable |
| Sergipe | 0.995 | 0.977-1.013 | Stable | 0.987 | 0.952-1.025 | Stable | 0.997 | 0.977-1.018 | Stable |
|
| |||||||||
| Distrito Federal | 0.974 | 0.954-0.994 | Decreasing | 0.975 | 0.936-1.016 | Stable | 0.978 | 0.955-1.002 | Stable |
| Goiás | 0.983 | 0.974-0.992 | Decreasing | 0.981 | 0.961-1.002 | Stable | 0.985 | 0.975-0.995 | Decreasing |
| Mato Grosso | 0.981 | 0.965-0.997 | Decreasing | 0.983 | 0.947-1.020 | Stable | 0.982 | 0.964-1.000 | Decreasing |
| Mato Grosso do Sul | 0.979 | 0.966-0.993 | Decreasing | 0.978 | 0.949-1.009 | Stable | 0.982 | 0.967-0.997 | Decreasing |
|
| |||||||||
| Espírito Santo | 0.994 | 0.979-1.009 | Stable | 0.986 | 0.957-1.017 | Stable | 0.996 | 0.979-1.013 | Stable |
| Minas Gerais | 0.999 | 0.994-1.004 | Stable | 0.998 | 0.987-1.010 | Stable | 0.999 | 0.993-1.005 | Stable |
| Rio de Janeiro | 0.980 | 0.974-0.986 | Decreasing | 0.986 | 0.974-0.999 | Decreasing | 0.977 | 0.971-0.984 | Decreasing |
| São Paulo | 0.977 | 0.974-0.981 | Decreasing | 0.980 | 0.972-0.988 | Decreasing | 0.977 | 0.973-0.981 | Decreasing |
|
| |||||||||
| Paraná | 0.985 | 0.979-0.992 | Decreasing | 0.983 | 0.968-0.999 | Decreasing | 0.988 | 0.98-0.995 | Decreasing |
| Rio Grande do Sul | 0.985 | 0.981-0.989 | Decreasing | 0.988 | 0.979-0.999 | Decreasing | 0.983 | 0.978-0.988 | Decreasing |
| Santa Catarina | 0.980 | 0.972-0.987 | Decreasing | 0.985 | 0.969-1.002 | Stable | 0.977 | 0.969-0.985 | Decreasing |
*RR: Relative risk, CI: confidence interval.