Evidence map›Paper›PMID 35216580›Full record

ArticleBMC public health2022

Urban-rural differences in China's crude death rate changes.

Fan Xiao, Li Mei, Quanbao Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Fan XiaoInstitute for Population and Development Studies, School of Public Policy and Administration, Xi'an Jiaotong University, No.28 Xianning West Road, Xi'an, Shaanxi, China.
Li MeiInstitute for Population and Development Studies, School of Public Policy and Administration, Xi'an Jiaotong University, No.28 Xianning West Road, Xi'an, Shaanxi, China.
Quanbao JiangInstitute for Population and Development Studies, School of Public Policy and Administration, Xi'an Jiaotong University, No.28 Xianning West Road, Xi'an, Shaanxi, China. recluse_jqb@126.com.
Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrom 1982 to 2010, the country's crude death rate (CDR) dropped sharply, fluctuated, and finally slightly declined. There is a big difference in CDR between urban and rural areas. From 1982 to 1990, the CDR in the country and the countryside declined, and the CDR in cities and towns rose. After 1990, the CDR in cities gradually decreased, the CDR in towns first fell and then rose, and the CDR in the countryside steadily increased. The CDR is affected by changes in the age-specific death rate (ASDR) and age structure.

methodsThis paper decomposes CDR changes into the influence of declines in ASDR and the impact of age structure changes based on 1982, 1990, 2000, and 2010 census data.

resultsThe decline in ASDR reduces the CDR, and the aging population increases the CDR (including cities, towns, and the countryside). At the same time, decomposing the difference between the countryside and cities (or the countryside and towns) CDRs found that after 1990, the influence of ASDR differences and age structure differences increased with time. Our results revealed a more significant effect of ASDR differences. The combined effect of two factors (ASDR and age structure) makes the 0, 1-14, 15-64 age groups reduce the CDR, and the 65+ age group increases the CDR. In addition, the 0-year-old group has a not negligible impact on the changes in CDR, although it accounts for a small proportion of the total population.

conclusionsThe influence of ASDR and age structure differs over time (1982 to 1990, 1990 to 2000, and 2000 to 2010) and across regions (cities, towns, the countryside). Considering the slow decline in ASDR and the accelerated aging population, we can infer that the CDR in 2020 will stabilize or even rise slightly instead of dropping significantly (compared with the CDR in 2010). This study provides a basis for the formulation of relevant public health policies.

Indexed as

Developing CountriesAgedChinaDemographyHumansInfant, NewbornPopulation DynamicsUrban PopulationAge-specific death rateAge structureCrude death rateDecompositionFamily planning policyUrban-rural differences

Identifiers

PMID35216580
PMCPMC8881871
OpenAlexW4214598709

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.