Evidence map›Paper›PMID 37050940›Full record

ArticleFrontiers in public health2023

Exploring the relationship between air quality and health shocks to the elderly: A retrospective cross-sectional study in China.

Xinyu Li, Yanxia Lyu, Wanyue Dong, Aijun Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Impact of Air Pollution on Health: A Rising Concern in Kathmandu, Nepal.JNMA; journal of the Nepal Medical Association · 2025
    Article
  3. 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

4 authors at 1 institution in 1 country.

Xinyu LiSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Yanxia LyuSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Wanyue DongSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Aijun XuSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Nanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: We selected 5,172 microdata on individuals from the China Health and Retirement Longitudinal Study (CHARLS) 2018. The binary logit model, the ordered logit model, and the stepwise regression were employed to compare the effects of air pollution on self-rated health (SRH) and activities of daily living (ADL) in an elderly population. The effects on health shocks were explored in different age groups, different gender groups, different regions and different sources of pollutants, respectively. Results: We found that air pollution significantly increased the risk of health shocks in the elderly population, especially in the 60-69 year age group, and the eastern/central region, where NO Conclusion: Targeted management of the environment is necessary to improve the health status of China's elderly population. In addition, paying attention to the health status of vulnerable populations is needed to achieve social equity.

Indexed as

Air PollutantsAir PollutionActivities of Daily LivingAgedChinaCross-Sectional StudiesHumansLongitudinal StudiesRetrospective StudiesAir Pollutantsactivities of daily livingair pollutionhealth shocksself-rated health (SRH)the elderly

Identifiers

PMID37050940
PMCPMC10084765
OpenAlexW4361002189

What OpenQuestion holds

Textmetadata
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.