Evidence map›Paper›PMID 33258088›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2021

Response to the COVID-19 Outbreak in Urban Settings in China.

Zhao Ni, Eli R Lebowitz, Zhijie Zou, Honghong Wang, Huaping Liu, Roman Shrestha, Qing Zhang, Jianwei Hu, Shuying Yang, Lei Xu and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 2 countries.

Zhao NiSchool of Medicine, Yale University, New Haven, Connecticut, USA. zhao.ni@yale.edu.ORCID 0000-0002-9185-9894
Eli R LebowitzSchool of Medicine, Yale University, New Haven, Connecticut, USA.
Zhijie ZouSchool of Health Sciences, Wuhan University, Wuhan, Hubei, China. zouzhijiehope@163.com.
Honghong WangXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Huaping LiuSchool of Nursing, Peking Union Medical College, Beijing, China.
Roman ShresthaSchool of Medicine, Yale University, New Haven, Connecticut, USA.
Qing ZhangSchool of Health Sciences, Wuhan University, Wuhan, Hubei, China.
Jianwei HuCollege of Nursing, Xi'an Medical University, Xi'an, Shaanxi, China.
Shuying YangHohhot Vocational College, Hohhot, Inner Mongolia, China.
Lei XuSchool of Nursing, Fudan University, Shanghai, China.
Jianjun WuGansu University of Chinese Medicine, Lanzhou, Gansu, China.
Frederick L AlticeSchool of Medicine, Yale University, New Haven, Connecticut, USA.
Wuhan University · CNYale University · USCentral South University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFudan University · CNGansu University of Traditional Chinese Medicine · CNHohhot Minzu College · CNSichuan University · CNUniversity of Connecticut · USXi'an Medical University · CN

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Enhancing Health Outcomes Among HIV+ Substance AbusersK24DA017072 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2003 to 2012
$1.5M
Training in MHealth Prevention with MSMK01DA051346 · NIDA · YALE UNIVERSITY · PI SHRESTHA, ROMAN · 2020 to 2024
$862k
NCATS NIH HHS UL1 TR001863NIDA NIH HHS K01 DA051346NIDA NIH HHS K01DA051346NIDA NIH HHS K24 DA017072
6 · The paper itself

Abstract

The COVID-19 outbreak in China was devastating and spread throughout the country before being contained. Stringent physical distancing recommendations and shelter-in-place were first introduced in the hardest-hit provinces, and by March, these recommendations were uniform throughout the country. In the presence of an evolving and deadly pandemic, we sought to investigate the impact of this pandemic on individual well-being and prevention practices among Chinese urban residents. From March 2-11, 2020, 4607 individuals were recruited from 11 provinces with varying numbers of COVID-19 cases using the social networking app WeChat to complete a brief, anonymous, online survey. The analytical sample was restricted to 2551 urban residents. Standardized scales measured generalized anxiety disorder (GAD), the primary outcome. Multiple logistic regression was conducted to identify correlates of GAD alongside assessment of community practices in response to the COVID-19 pandemic. We found that during the COVID-19 pandemic, the recommended public health practices significantly (p < 0.001) increased, including wearing facial mask, practicing physical distancing, handwashing, decreased public spitting, and going outside in urban communities. Overall, 40.3% of participants met screening criteria for GAD and 49.3%, 62.6%, and 55.4% reported that their work, social life, and family life were interrupted by anxious feelings, respectively. Independent correlates of having anxiety symptoms included being a healthcare provider (aOR = 1.58, p < 0.01), living in regions with a higher density of COVID-19 cases (aOR = 2.13, p < 0.01), having completed college (aOR = 1.38, p = 0.03), meeting screening criteria for depression (aOR = 6.03, p < 0.01), and poorer perceived health status (aOR = 1.54, p < 0.01). COVID-19 had a profound impact on the health of urban dwellers throughout China. Not only did they markedly increase their self- and community-protective behaviors, but they also experienced high levels of anxiety associated with a heightened vulnerability like depression, having poor perceived health, and the potential of increased exposure to COVID-19 such as living closer to the epicenter of the pandemic.

Indexed as

Stress, PsychologicalAdultAgedAged, 80 and overAnxietyChinaCitiesCOVID-19Cross-Sectional StudiesDepressionDisease OutbreaksFemaleHumansMaleMiddle AgedPandemicsAnxietyChinaCoronavirusCOVID-19Global healthHealth behaviorSocial lifeUrban

Identifiers

PMID33258088
PMCPMC7703725
OpenAlexW3107635931

What OpenQuestion holds

Textmetadata
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.