Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Trend of deaths from external causes in Campinas, Brazil (2000-2017): Joint Point Regression Analysis

View through CrossRef
Abstract Introduction Deaths from external causes are caused by events or acute exposure to physical, chemicals agents or radiation; also due to the lack of essential agents for survival or injuries caused by oneself or others. The preventable nature of deaths from external causes has been pointed out mainly because there are related to violence. Objective To describe the trend and characteristics of mortality from external causes in the city of Campinas, São Paulo, Brazil from 2000 to 2017. Methods Descriptive, cross-sectional study. Information sources: The death mortality certificates from the Municipal Health Secretariat's Information System included in the chapter XX of the CID-10. Data analysis: External causes were divided into five groups: transportation, falls, suicides, homicides and others. The Standardized Mortality Coefficient (SMC) per 100,000 inhabitants was calculated taking as a reference the populations of the 2000 and 2010 censuses, stratified by age group and sex. The trend analysis for homicide was performed using a joinpoint regression model. Results In Campinas during the studied period occurred 12,175 deaths from external causes (80.4% male, 19.6% female). The most important causes of mortality for men were homicides (50%) and traffic accidents (27%) and for women it was falls (35%), traffic accidents (24%) and homicides (22 %). The SMC trend towards homicides shows a decrease in male events and stability in women homicides. It is noteworthy the lack of change in the trend of the female coefficient, regarding the male SMP, we identify three significant changes in the trend. Conclusions The decrease in the number of deaths from external causes in Campinas is principally due to the decrease in homicides in male population. The SMP was able to analyze deaths adjusted to the characteristics of the population, being an important tool for the analysis of deaths from external causes. Key messages In Campinas deaths from external causes are important causes of mortality. The Standardized Mortality Coefficient and joint point regression method are useful tools for the analysis of deaths from external causes.
Title: Trend of deaths from external causes in Campinas, Brazil (2000-2017): Joint Point Regression Analysis
Description:
Abstract Introduction Deaths from external causes are caused by events or acute exposure to physical, chemicals agents or radiation; also due to the lack of essential agents for survival or injuries caused by oneself or others.
The preventable nature of deaths from external causes has been pointed out mainly because there are related to violence.
Objective To describe the trend and characteristics of mortality from external causes in the city of Campinas, São Paulo, Brazil from 2000 to 2017.
Methods Descriptive, cross-sectional study.
Information sources: The death mortality certificates from the Municipal Health Secretariat's Information System included in the chapter XX of the CID-10.
Data analysis: External causes were divided into five groups: transportation, falls, suicides, homicides and others.
The Standardized Mortality Coefficient (SMC) per 100,000 inhabitants was calculated taking as a reference the populations of the 2000 and 2010 censuses, stratified by age group and sex.
The trend analysis for homicide was performed using a joinpoint regression model.
Results In Campinas during the studied period occurred 12,175 deaths from external causes (80.
4% male, 19.
6% female).
The most important causes of mortality for men were homicides (50%) and traffic accidents (27%) and for women it was falls (35%), traffic accidents (24%) and homicides (22 %).
The SMC trend towards homicides shows a decrease in male events and stability in women homicides.
It is noteworthy the lack of change in the trend of the female coefficient, regarding the male SMP, we identify three significant changes in the trend.
Conclusions The decrease in the number of deaths from external causes in Campinas is principally due to the decrease in homicides in male population.
The SMP was able to analyze deaths adjusted to the characteristics of the population, being an important tool for the analysis of deaths from external causes.
Key messages In Campinas deaths from external causes are important causes of mortality.
The Standardized Mortality Coefficient and joint point regression method are useful tools for the analysis of deaths from external causes.

Related Results

The Burden of Road Traffic Injuries: A Global Perspective
The Burden of Road Traffic Injuries: A Global Perspective
Introduction     Road Traffic Injury (RTI) pose a significant health challenge. It represents the eighth leading cause of death globally, prompting the UN to designate 2011-2020 as...
Macroeconomic and Social Precursors of Suicide Rates in the Philippines: A Quantitative Analysis (Preprint)
Macroeconomic and Social Precursors of Suicide Rates in the Philippines: A Quantitative Analysis (Preprint)
BACKGROUND Suicide is a complex, serious and multifaceted public health issue that poses significant challenges to societies worldwide. In fact, it represen...
Blunt Chest Trauma and Chylothorax: A Systematic Review
Blunt Chest Trauma and Chylothorax: A Systematic Review
Abstract Introduction: Although traumatic chylothorax is predominantly associated with penetrating injuries, instances following blunt trauma, as a rare and challenging condition, ...
EXCESS DEATHS FROM ALL CAUSES AND BY COVID-19 IN BRAZIL IN 2020
EXCESS DEATHS FROM ALL CAUSES AND BY COVID-19 IN BRAZIL IN 2020
SUMMARY Objective To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, an...
Differential Diagnosis of Neurogenic Thoracic Outlet Syndrome: A Review
Differential Diagnosis of Neurogenic Thoracic Outlet Syndrome: A Review
Abstract Thoracic outlet syndrome (TOS) is a complex and often overlooked condition caused by the compression of neurovascular structures as they pass through the thoracic outlet. ...
Exploring Large Language Models Integration in the Histopathologic Diagnosis of Skin Diseases: A Comparative Study
Exploring Large Language Models Integration in the Histopathologic Diagnosis of Skin Diseases: A Comparative Study
Abstract Introduction The exact manner in which large language models (LLMs) will be integrated into pathology is not yet fully comprehended. This study examines the accuracy, bene...

Back to Top