Evidence map›Paper›PMID 40128778›Full record

ArticleBMC public health2025

Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities.

Xiaoxu Jiang, Jie Gao

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2025. 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

2 authors.

Xiaoxu JiangMaternal and Child Health Development Research Center, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, China.
Jie GaoMaternal and Child Health Development Research Center, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, China. agao1224@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of COVID-19 has been long-lasting and severe. Middle-aged and older females, as a vulnerable group, need special attention. China is a typical urban-rural dualistic society, and the impact of the urban-rural gap on middle-aged and older females is unknown. The purpose of this study was to explore the influence of COVID-19 on middle-aged and older females in Chinese urban and rural areas.

methodsThis study used CHARLS (China Health and Retirement Longitudinal Study) database. A total of 10,063 participants were included in this study (3,680 in urban and 6,383 in rural). The chi-square test and t-test were used to analyze differences between urban and rural participants, and binary logistic regression (forward: conditional) was used to analyze differences in the factors influencing the two groups in terms of mask wearing.

resultsDuring the epidemic, there were significant differences between urban and rural middle-aged and older females in terms of demographic characteristics, prevention knowledge, attitude, identification, isolation, personal activities, mental health, containment measures in residential areas and individual preventive behavior. Rural middle-aged and older females had poorer preventive behavior. Age, marital status, preventive knowledge, calling and messaging, internet contact, containment measures in residential areas were the common influencing factors affecting mask wearing behavior of the participants. The mask-wearing behavior of urban participants was also influenced by the attitude towards government's measures, COVID-19 test and fear.

conclusionsMiddle-aged and older females in Chinese urban and rural areas faced different situations during the epidemic and required targeted measures.

Indexed as

COVID-19Health Status DisparitiesRural PopulationUrban PopulationAgedChinaFemaleHumansLongitudinal StudiesMasksMiddle AgedSARS-CoV-2CHARLSCOVID-19Middle-aged and older femalesUrban-rural

Identifiers

PMID40128778
PMCPMC11934452

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LicenceCC BY-NC-ND
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