Evidence map›Paper›PMID 35742421›Full record

ArticleInternational journal of environmental research and public health2022

Injury and Poisoning Mortality Trends in Urban and Rural China from 2006 to 2020 Based on Age-Period-Cohort Analysis.

Xin Yuan, Changgui Kou, Min Zhang, Wenyuan Ma, Zhitao Tang, Haiyan Sun, Wenjun Li

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Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xin YuanDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China.
Changgui KouDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.ORCID 0000-0001-9544-4066
Min ZhangDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China.
Wenyuan MaDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China.
Zhitao TangDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China.
Haiyan SunDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China.
Wenjun LiDepartment of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China.ORCID 0000-0001-5803-6071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Injury and poisoning, common public health problems, currently rank fifth among the causes of death in China. In this study, we aimed to analyze the trends and influencing factors of injury and poisoning mortality in urban and rural China using an age-period-cohort model. Crude mortality data for injury and poisoning by sex, age group, and region were obtained from the China Health Statistical Yearbook (2006-2020). Age-standardized mortality rates for injury and poisoning in urban and rural areas were estimated using the Seventh Census of China 2020 population. The trends of injury and poisoning mortality were assessed using Joinpoint analysis. Age-period-cohort models were used to explore the age, period, and birth cohort effects affecting mortality risk. Over a 15-year period, age-standardized mortality rates decreased from 28.81/100,000 in 2006 to 24.78/100,000 in 2020 in urban areas and from 45.49/100,000 to 44.39/100,000 in rural areas. In the male population, the annual change in mortality was -0.4% (95% CI = -1.8%, 1.0%) in urban areas and -1.0% (95% CI = -1.9%, 0.0%) in rural areas. In the female population, the annual change in mortality was -1.2% (95% CI = -2.3%, -0.1%) in urban areas compared with -1.6% (95% CI = -3.1%, -0.1%) in rural areas. The age-period-cohort model showed a significant increase in urban and rural mortality rates starting at ages 49 and 39 years. Both showed a decline followed by an increase in the period. The cohort from 1929 to 2013 showed an overall trend of increasing and then decreasing. From 2006 to 2020, the overall injury and poisoning mortality rates in China showed a decreasing trend, and the mortality rates decreased faster in women than in men and in rural areas than in urban areas. Age effects were the most important risk factors for changes in injury and poisoning mortality. The results of this study will help researchers explore the possible causes of mortality changes in urban and rural areas and provide a scientific basis for injury and poisoning prevention and control priorities and policy formulation in China.

Indexed as

MenRural PopulationChinaCohort StudiesFemaleHumansMaleMortalityRisk FactorsUrban Populationage–period–cohort modelChinainjury and poisoningJoinpoint regressionmortalityurban and rural

Identifiers

PMID35742421
PMCPMC9223563

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.