Evidence map›Paper›PMID 34103014›Full record

ArticleBMC public health2021

Prevalence of elder abuse and victim-related risk factors during the COVID-19 pandemic in China.

Pengcheng Du, Yu Chen

Open access · goldAbstract 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 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
31.0field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Pengcheng DuLaw School, Hunan University, Changsha, Hunan Province, P.R. China. 1183772557@qq.com.
Yu ChenLaw School, Hunan University, Changsha, Hunan Province, P.R. China.
Hunan Normal University · CNHunan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the accelerated aging of the Chinese population, elder abuse has become a serious social problem. As COVID-19 has had a very large impact on economic development and lifestyle in China, it has also affected elder abuse. The purpose of this study is to estimate the prevalence of elder abuse in China during the COVID-19 pandemic, and to identify changes in risk factors for elder abuse in the context of COVID-19.

methodsWe designed a cross-sectional study. In Hunan Province, a face-to-face questionnaire survey was conducted among elderly people over 65 years of age. To ensure the consistency of the measurement standards, we used the elder abuse questionnaire from the "Third Survey on Chinese Women's Social Status." According to related research, we selected 10 victim-related risk factors as independent variables. A logistic regression model was established to analyze the relationship between the independent variables and the four kinds of abuse.

resultsWe collected 10,362 samples from Hunan Province. During the COVID-19 pandemic, the prevalence of financial abuse and neglect was significantly higher than that in 2010. Income had a significant impact on the four types of abuse. The lower the income was, the greater the risk of abuse. Moreover, factors such as an older age, being a woman, a lower cognitive ability, and not having a cohabiting spouse increased the possibility of abuse. The greater the number of children was, the greater the risks of physical abuse, financial abuse, and elder neglect. Seniors with higher education levels, those who frequently participated in social activities, and those with religious beliefs were less likely to suffer abuse.

conclusionsDuring the COVID-19 epidemic, the prevalence of elder abuse in China has increased, which may be related to economic instability and social distancing measures. Increasing the income of the elderly and giving them more social support are important measures to reduce the prevalence of elder abuse.

Indexed as

COVID-19Elder AbuseAgedChildChinaCross-Sectional StudiesFemaleHumansPandemicsPrevalenceRisk FactorsSARS-CoV-2ChinaCOVID-19Elder abuseRisk factor

Identifiers

PMID34103014
PMCPMC8185499
OpenAlexW3170398348

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.