Evidence map›Paper›PMID 33546650›Full record

ArticleBMC public health2021

Inequalities in changing mortality and life expectancy in Jiading District, Shanghai, 2002-2018.

Qian Peng, Na Zhang, Hongjie Yu, Yueqin Shao, Ying Ji, Yaqing Jin, Peisong Zhong, Yiying Zhang, Yingjian Wang, Shurong Dong and 7 more

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Qian Peng *Jiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
Na Zhang *Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Hongjie YuJiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
Yueqin ShaoJiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
Ying JiJiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
Yaqing JinJiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
Peisong ZhongJiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
Yiying ZhangJiading District Center for Disease Control and Prevention, Shanghai, 201800, China.
Yingjian WangFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Shurong DongFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Chunlin LiFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Ying ShiFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Yingyan ZhengFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Feng JiangFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Yue ChenSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Qingwu JiangFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Yibiao ZhouFudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai, 200032, China. ybzhou@fudan.edu.cn.

Funding

the Jiading District , Shanghai , Epidemiology of Chronic Diseases Foundation GW01
6 · The paper itself

Abstract

backgroundImprovements of population health in China have been unevenly distributed among different sexes and regions. Mortality Registration System provides an opportunity for timely assessments of mortality trend and inequalities.

methodsCauses of death were reclassified following the method of Global Burden of Disease Study (GBD). Age-standardized mortality rate (ASMR) and ring-map of the rate by town were used to describe inequalities in changing mortality. Life expectancy (LE) and cause-deleted LE were calculated on the basis of life table technique.

resultsThe burden of death from 2002 to 2018 was dominated by cardiovascular diseases (CVD), neoplasms, chronic respiratory diseases and injuries in Jiading district, accounting for almost 80% of total deaths. The overall ASMR dropped from 407.6/100000 to 227.1/100000, and LE increased from 77.86 years to 82.31 years. Women lived about 3.0-3.5 years longer than men. Besides, a cluster of lower LE was found for CVD in the southeast corner and one cluster for neoplasms in the southern corner of the district. The largest individual contributor to increment in LE was neoplasms, ranged from 2.41 to 3.63 years for males, and from 1.60 to 2.36 years for females.

conclusionsImprovement in health was mainly attributed to the decline of deaths caused by CVD and neoplasms, but was distributed with sex and town. This study served as a reflection of health inequality, is conducive to formulate localized health policies and measures.

Indexed as

Health Status DisparitiesLife ExpectancyCause of DeathChinaFemaleGlobal HealthHumansMaleMortalitySocioeconomic FactorsAge-standardized mortality rateCause of deathHealth inequalityLife expectancy

Identifiers

PMID33546650
PMCPMC7866752

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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.