Coeficiente padronizado de anos de vida perdidos, de Haenszel: comparação com o coeficiente padronizado de mortalidade geral, quanto à utilização como indicador de nível de saúde de populações

Juliano, Yára; Novo, Neil Ferreira; Goihman, Samuel; Paiva, Elias Rodrigues de; Leser, Walter

doi:10.1590/s0034-89101987000200005

Cited by 2 publications

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References 2 publications

(11 reference statements)

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“…For the purposes of comparing populations, standardization was indispensable for correcting distortions resulting from possible differences in their composition with respect to attributes or variables related to the probability of death. 17 The median of the participation percentages, rather than the arithmetic mean, was used with the aim of removing the influence that, in this case, would be exerted by possible occurrences, in certain populations, of strongly disagreeing percentages of participation. 18 The denominator that was used to calculate the standardized coefficient was that of the standard population, which was calculated using the median population of the period studied.…”

Section: Discussionmentioning

confidence: 99%

Suicide mortality in the city of São Paulo: epidemiological characteristics and their social factors in a temporal trend between 2000 and 2017. Retrospective study

et al. 2020

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BACKGROUND: Suicide is one of the leading causes of death worldwide, accounting for one million deaths annually. Greater understanding of the causal risk factors is needed, especially in large urban centers. OBJECTIVE: To ascertain the epidemiological profile and temporal trend of suicides over two decades and correlate prevalence with social indicators. DESIGN AND SETTING: Descriptive population-based longitudinal retrospective study conducted in the city of São Paulo, Brazil. METHODS: A temporal trend series for suicide mortality in this city was constructed based on data from the Ministry of Health's mortality notification system, covering 2000-2017. It was analyzed using classic demographic variables relating to social factors. RESULTS: Suicide rates were high throughout this period, increasing from 4.6/100,000 inhabitants in the 2000s to 4.9/100,000 in 2017 (mean: 4.7/100,000). The increase in mortality was mainly due to increased male suicide, which went from 6.0/100,000 to the current 8.0/100,000. Other higher coefficients corresponded to social risk factors, such as being a young adult (25-44 years old), being more educated (eight years of schooling) and having white ethnicity (67.2%). Suicide was also twice as likely to occur at home (47.8%). CONCLUSION: High suicide rates were seen over the period 2000-2017, especially among young adults and males. High schooling levels and white ethnicity were risk factors. The home environment is the crucial arena for preventive action. One special aspect of primary prevention is the internet and especially social media, which provides a multitude of information for suicide prevention.

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Section: Discussionmentioning

confidence: 99%

Suicide mortality in the city of São Paulo: epidemiological characteristics and their social factors in a temporal trend between 2000 and 2017. Retrospective study

et al. 2020

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“…In comparing populations, the mortality coefficient was standardized to correct distortions resulting from possible differences in its composition linked to attributes or variables that are related to the probability of death. ( 10 …”

Section: Methodsmentioning

confidence: 99%

Mortality Due to Transport Accidents in the City of São Paulo: 2005-2015

et al. 2021

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Objective: To characterize cases of land transport accidents in the macro-regions of city of São Paulo in 2005, 2010, and 2015. Methods: This is a population-based, longitudinal and retrospective study of time series, based on a quantitative survey of land transport accidents that occurred in the city of São Paulo in 2005, 2010 and 2015 using data from the Mortality Information System of the City of São Paulo. Results: A total of 1,343, 1,567 and 1,088 deaths by accident recorded in the city’ population in the years 2005, 2010 and 2015 respectively. The highest occurrences were in the age groups 15 to 24 years and 24 to 34 years. The highest number of deaths due to accidents was among males. The mortality rates observed in the macro-regions were South (23.8%), East (22%), North (21.6%), West (7.1%), and Center (3%). In comparing the years examined, there was a decline in the mortality rate per 100,000 inhabitants in most macro-regions. Conclusion: Despite the decrease in overall accident mortality in most macro-regions, it still deserves attention on preventive traffic actions focused on young males living in peripheral neighborhoods, since they represent the most susceptible group. Level of evidence II; Retrospective Study.

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Coeficiente padronizado de anos de vida perdidos, de Haenszel: comparação com o coeficiente padronizado de mortalidade geral, quanto à utilização como indicador de nível de saúde de populações

Cited by 2 publications

References 2 publications

Suicide mortality in the city of São Paulo: epidemiological characteristics and their social factors in a temporal trend between 2000 and 2017. Retrospective study

Suicide mortality in the city of São Paulo: epidemiological characteristics and their social factors in a temporal trend between 2000 and 2017. Retrospective study

Mortality Due to Transport Accidents in the City of São Paulo: 2005-2015

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