Evidence map›Paper›PMID 33491299›Full record

ArticleInternational journal of mental health nursing2021

Predictive factors of anxiety and depression among nurses fighting coronavirus disease 2019 in China.

Yongli Pang, Hengying Fang, Lili Li, Minhua Chen, Yuanli Chen, Miaoxia Chen

Abstract read
In one paragraph

Article in International journal of mental health nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 pooled it
–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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Prevalence of Psychological Impacts on Healthcare Providers during COVID-19 Pandemic in Asia.International journal of environmental research and public health · 2021
    Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

6 authors.

Yongli PangDepartment of Nursing, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-6665-6772
Hengying FangDepartment of Nursing, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Lili LiDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Minhua ChenDepartment of Psychology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yuanli ChenDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Miaoxia ChenDepartment of Nursing, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anxiety and depression are common mental illnesses among nurses fighting coronavirus disease 2019 (COVID-19). However, the precise factors that affect anxiety and depression in this population require further evaluation. This study aimed to explore factors associated with anxiety and depression among nurses fighting COVID-19 in China. We used convenience sampling to recruit 282 nurses fighting COVID-19 in three hospitals. Participants were questioned about demographic characteristics, daily working time, daily sleep duration, sleep quality, anxiety, depression, resilience, and coping styles. Linear regression analysis indicated that resilience (β = -0.217, P < 0.001), positive coping style (β = -0.281, P < 0.001), negative coping style (β = 0.395, P < 0.001), and sleep quality (β = 0.153, P = 0.010) were predictive factors for anxiety, and the model explained 44.20% (P < 0.001) of variability. Resilience (β = -0.239, P < 0.001), positive coping style (β = -0.222, P < 0.001), negative coping style (β = 0.152, P < 0.001), and sleep quality (β = 0.104, P = 0.003) were identified as explanatory factors for depression, and the model explained 34.50% (P < 0.001) of variability. The present study suggested that resilience, coping styles, and sleep quality could account for an individual's levels of anxiety and depression.

Indexed as

Adaptation, PsychologicalAdultAnxietyChinaCOVID-19Cross-Sectional StudiesDepressionHumansMiddle AgedNursing Staff, HospitalOccupational DiseasesPsychiatric Status Rating ScalesPsychological TestsResilience, PsychologicalRisk FactorsSurveys and Questionnairesanxietycoping stylescoronavirus disease 2019depressionnursesresiliencesleep

Identifiers

PMID33491299
PMCPMC8014285

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.