Evidence map›Paper›PMID 31964379›Full record

ArticleInternational journal for equity in health2020

All-cause mortality rate in China: do residents in economically developed regions have better health?

Xuexin Yu, Wei Zhang

Abstract read
In one paragraph

Article in International journal for equity in health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

2 authors.

Xuexin YuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Alley, Chengdu, 610040, Sichuan, China.
Wei ZhangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Alley, Chengdu, 610040, Sichuan, China. weizhanghx@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrban-rural disparities have been extensively investigated, while most investigators overlooked urban-suburban-rural variations in population health. Although regional disparities in East-West China have been largely discussed, limited attention has been directed to the interaction between regional differences and urban-suburban-rural disparities. This study aims to analyze urban-suburban-rural variations in all-cause mortality rates across four geographic regions in China.

methodsData came from China's National Census Survey and public statistical yearbooks in 2000 and 2010. Urban districts, county-level cities, and counties were respectively defined as urban, suburban, and rural areas. We obtained 2322 areas, including 2148 areas with two observations and 174 areas with only one observation. Data visualization was performed to depict geographic variations and changes in all-cause mortality rates. Five hierarchical linear regression analyses with generalized estimating equations (GEE) were employed to analyze variations in all-cause mortality rates over time. Demographic and socioeconomic attributes were introduced as covariates.

resultsDespite an overall decline in all-cause mortality rate, rural residents generally achieved worse health than urban and suburban counterparts. In contrast, urban-suburban disparities could be fully explained by demographic and socioeconomic differences. In addition, Northeastern and Central residents achieved better health than Eastern and Western residents. Last, there existed urban/suburban-rural disparities in all regions, except Northeastern, where urban/suburban-rural disparities were eliminated after controlling for socioeconomic and demographic attributes.

conclusionEven though suburban and rural areas were often merged, there exist urban/suburban-rural disparities in population health. Furthermore, urban/suburban-rural disparities vary across regions.

Indexed as

Health Status DisparitiesAgedChinaEconomic DevelopmentFemaleHumansMaleMortalityPopulation HealthRural PopulationSuburban PopulationUrban PopulationAll-cause mortality rateChinaPopulation healthRegional disparitiesUrban-suburban-rural disparities

Identifiers

PMID31964379
PMCPMC6975071

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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.