Evidence map›Paper›PMID 34639471›Full record

ArticleInternational journal of environmental research and public health2021

Would Older Adults Perform Preventive Practices in the Post-COVID-19 Era? A Community-Based Cross-Sectional Survey in China.

Meijun Chen, Xiaoqi Wang, Qingping Yun, Yuting Lin, Qingqing Wu, Qinghua Yang, Dezhi Wan, Dan Tian, Chun Chang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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
–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

2 citing papers in PubMed.

  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

9 authors.

Meijun ChenSchool of Public Health, Peking University, Beijing 100191, China.
Xiaoqi WangNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Qingping YunSchool of Public Health, Peking University, Beijing 100191, China.
Yuting LinSchool of Public Health, Peking University, Beijing 100191, China.
Qingqing WuProvincial Center for Disease Control and Prevention, Hangzhou 310006, China.
Qinghua YangProvincial Health Education Center, Chongqing 401120, China.
Dezhi WanProvincial Patriotic Health and Health Promotion Center, Nanchang 330006, China.
Dan TianProvincial Health Service Center, Shenyang 110005, China.
Chun ChangSchool of Public Health, Peking University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the post-COVID-19 era, preventive practices, such as washing hands and wearing a mask, remain key measures for controlling the spread of infection for older adults. This study investigated the status of preventive practices among older adults and identified the related influencing factors. Participants who were ≥60 years old were recruited nationwide. Data were collected through self-designed questionnaires, including demographic variables, knowledge, perceived vulnerability, response efficacy, anxiety and preventive practices. Descriptive statistics and chi-square tests were performed. Hierarchical logistic regression was conducted to determine the predictors. A total of 2996 participants completed this study. Of them, 2358 (78.7%) participants reported washing hands regularly in the last two weeks, and 1699 (56.7%) always wore masks outside this year. Knowledge (hand washing: OR = 1.09,

Indexed as

COVID-19AgedChinaCross-Sectional StudiesHumansMiddle AgedPandemicsSARS-CoV-2Surveys and Questionnairesolder adultspost-COVID-19 erapreventive practices

Identifiers

PMID34639471
PMCPMC8507800

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.