Evidence map›Paper›PMID 35438066›Full record

SynthesisEpidemiology and psychiatric sciences2022

Mental disorder symptoms during the COVID-19 pandemic in Latin America - a systematic review and meta-analysis.

Stephen X Zhang, Kavita Batra, Wen Xu, Tao Liu, Rebecca Kechen Dong, Allen Yin, Andrew Yilong Delios, Bryan Z Chen, Richard Z Chen, Saylor Miller and 3 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Epidemiology and psychiatric sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 7 pooled it
15.2field-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

43 citing papers in PubMed, 7 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

13 authors at 9 institutions in 3 countries.

Stephen X ZhangFaculty of Professions, University of Adelaide, Adelaide, SA5005, Australia.ORCID https://orcid.org/0000-0001-6123-1193
Kavita BatraOffice of Research, School of Medicine, University of Nevada, Las Vegas, NV89102, USA.
Wen XuNottingham University Business School China, University of Nottingham Ningbo China, Ningbo315100, China.ORCID https://orcid.org/0000-0002-8884-6793
Tao LiuCollege of Economics and Management, Southwest University, Chongqing400716, China.
Rebecca Kechen DongBusiness School, University of South Australia, Adelaide, SA5001, Australia.
Allen YinSchool of Humanities, Southeast University, Nanjing211189, China.
Andrew Yilong DeliosDepartment of Psychology, University of Adelaide, Adelaide, SA5001, Australia.
Bryan Z ChenCrescent Valley High School, Corvallis, OR97330, USA.
Richard Z ChenCrescent Valley High School, Corvallis, OR97330, USA.ORCID https://orcid.org/0000-0002-3548-5760
Saylor MillerCollege of Business, Oregon State University, Oregon, OR97331, USA.
Xue WanSchool of Economics and Management, Tongji University, Shanghai200092, China.
Wenping YeSchool of Management, Jinan University, Guangzhou510632, China.
Jiyao ChenCollege of Business, Oregon State University, Corvallis, OR97331, USA.ORCID https://orcid.org/0000-0003-2192-9778
Oregon State University · USThe University of Adelaide · AUJinan University · CNSoutheast University · CNSouthwest University · CNTongji University · CNUniversity of Nevada, Las Vegas · USUniversity of Nottingham Ningbo China · CNUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThere is a lack of evidence related to the prevalence of mental health symptoms as well as their heterogeneities during the coronavirus disease 2019 (COVID-19) pandemic in Latin America, a large area spanning the equator. The current study aims to provide meta-analytical evidence on mental health symptoms during COVID-19 among frontline healthcare workers, general healthcare workers, the general population and university students in Latin America.

methodsBibliographical databases, such as PubMed, Embase, Web of Science, PsycINFO and medRxiv, were systematically searched to identify pertinent studies up to August 13, 2021. Two coders performed the screening using predefined eligibility criteria. Studies were assigned quality scores using the Mixed Methods Appraisal Tool. The double data extraction method was used to minimise data entry errors.

resultsA total of 62 studies with 196 950 participants in Latin America were identified. The pooled prevalence of anxiety, depression, distress and insomnia was 35%, 35%, 32% and 35%, respectively. There was a higher prevalence of mental health symptoms in South America compared to Central America (36% v. 28%, p < 0.001), in countries speaking Portuguese (40%) v. Spanish (30%). The pooled prevalence of mental health symptoms in the general population, general healthcare workers, frontline healthcare workers and students in Latin America was 37%, 34%, 33% and 45%, respectively.

conclusionsThe high yet heterogenous level of prevalence of mental health symptoms emphasises the need for appropriate identification of psychological interventions in Latin America.

Indexed as

COVID-19Mental DisordersDepressionHealth PersonnelHumansLatin AmericaPandemicsCOVID-19healthcare workersLatin Americamental healthmeta-analysisprevalence

Identifiers

PMID35438066
PMCPMC9069590
OpenAlexW4224267277

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.