Cited by 1,548COVID-19 and Mental HealthPosttraumatic Stress Disorder ResearchLong-Term Effects of COVID-19

Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: gender differences matter

Open access
Liu, Nianqi, Zhang, Fan, Wei, Cun, Jia, Yanpu, Shang, Zhilei, Sun, Luna, Wu, Lili, Sun, Zhuoer +3 more·2020·Psychiatry Research

Abstract

Highlights • The prevalence of posttraumatic stress symptoms (PTSS) in China hardest-hit areas a month after the COVID-19 outbreak was 7%.• Hierarchical regression analysis and non-parametric test suggested that women reported significant higher PTSS in the domains of re-experiencing, negative alterations in cognition or mood, and hyper-arousal.• Participants with better sleep quality or less frequency of early awakenings reported lower PTSS.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.psychres.2020.112921

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Risk of PTSS was positively associated with lower education.

    “lower education (Liu et al., 2020)”

    From COVID-19 pandemic and mental health consequences: Systematic review of the current evidence (2020) · cites this paper as Liu et al., 2020

    In Results > Related factors of the occurrence of PTSS (page unavailable), the initial regression shows lower PTSS scores for respondents with high-school education or below than for those with university or college education. That difference is not significant in the final model. Results > The prevalence and demographic characteristics likewise reports a lower mean PTSS score for the lower-education group, not the higher risk claimed. (LLM, conf=0.88)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • The high PTSS level in COVID-19 patients is far higher than in the general public (7%).

    “which is far higher than found in the general public (7%) (Liu et al., 2020)”

    From COVID-19 pandemic and mental health consequences: Systematic review of the current evidence (2020) · cites this paper as Liu et al., 2020

    The Results report that 20 of 285 participants (7%) met the criteria for PTSS, and the Discussion identifies the population as people in China's hardest-hit areas. This supports the 7% public comparator, but not a prevalence estimate for the general public more broadly. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Risk of PTSS was positively associated with living in Hubei province.

    “living in Hubei province (Sun et al., 2020, Liu et al., 2020)”

    From COVID-19 pandemic and mental health consequences: Systematic review of the current evidence (2020) · cites this paper as Liu et al., 2020

    The Results (page not provided) report significantly higher PCL-5 scores among respondents currently or previously in Wuhan than among those outside Wuhan. The Methods identify the study area as Wuhan and surrounding cities in Hubei, but the paper does not establish an association for living anywhere in Hubei province versus living outside the province. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • During the COVID-19 pandemic, women had worse mental health consequences and a greater psychological impact than men.

    “Recent studies underlined that women had worse mental health consequences and a greater psychological impact due to COVID-19 [17,18,19].”

    From Beneficial effects of mindfulness-based stress reduction training on the well-being of a female sample during the first total lockdown due to covid-19 pandemic in italy (2021) · cites this paper as [17]

    The Conclusion and Discussion report more posttraumatic stress symptoms in women than men after the COVID-19 outbreak in China’s hardest-hit areas. This supports a gender difference in psychological impact, but the study measured PTSS in that setting, not mental health consequences generally or across the pandemic. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The COVID-19 pandemic crisis has caused an unprecedented impact on most areas of people's lives.

    “This crisis has caused an unprecedented impact on most areas of people’s lives, along with the uncertainness regarding its duration and the ongoing personal and social adjustments to this new “way of life” (e.g., Liu et al., 2020; Rodríguez-Rey et al., 2020; Wang et al., 2020; Zacher and Rudolph, 2020).”

    From Dealing With the Pandemic of COVID-19 in Portugal: On the Important Role of Positivity, Experiential Avoidance, and Coping Strategies (2021) · cites this paper as Liu et al., 2020

    The Introduction (page unavailable) describes anxiety, quarantine and psychosocial effects in Wuhan and surrounding cities, and the Discussion (page unavailable) reports post-traumatic stress symptoms among residents of the hardest-hit areas. This supports a significant impact on mental health, but the paper does not establish that the pandemic had an unprecedented impact on most areas of people’s lives. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Liu, N., Zhang, F., Wei, C., Jia, Y., Shang, Z., Sun, L., Wu, L., Sun, Z., Zhou, Y., Wang, Y., & Liu, W.
Affiliations
Second Military Medical University (CN)
Corresponding author
  • Liu, Nianqi
  • Liu, Weizhi
Venue
Psychiatry Research
Publisher
Elsevier BV
Published
2020-05
Volume
287
Pages
112921
ISSN
0165-1781 (ISSN-L)
OpenAlex
W3011481653
Cited by
1,548
References
27
Citations by year
2026: 12 · 2025: 50 · 2024: 90 · 2023: 215 · 2022: 301 · 2021: 532 · 2020: 343 · 2019: 2 · 2013: 1
FWCI
139.05
Type
journal article
Language
en
Open access
Locations
  • Psychiatry Research (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
  • Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
Keywords
posttraumatic stress symptoms, COVID-19 pandemic, gender differences, sleep quality, early morning awakening, re-experiencing, hyperarousal, negative alterations in cognition and mood, mental health services, Wuhan
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Adult, China, Disease Outbreaks, Female, Humans, Sleep Initiation and Maintenance Disorders, Male, Pneumonia, Viral, Surveys and Questionnaires, Sex Factors, Stress Disorders, Post-Traumatic, Prevalence, Coronavirus Infections, Young Adult, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review