Evidence map›Paper›PMID 34629913›Full record

ArticlePsychology research and behavior management2021

Personality Profiles and Personal Factors Associated with Psychological Distress in Chinese Nurses.

Wentao Huang, Shu Cai, Ye Zhou, Jingxin Huang, Xibin Sun, Yunhui Su, Meifen Dai, Yutao Lan

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Article in Psychology research and behavior management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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17citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Predictors of Moral Distress Among Nurses: A Cross-Sectional Study.International journal of environmental research and public health · 2026
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wentao Huang *School of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.ORCID 0000-0002-9114-0898
Shu Cai *School of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Ye ZhouSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Jingxin HuangSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Xibin SunSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Yunhui SuDepartment of Emergency, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Meifen DaiDepartment of Nursing, The Sixth Affiliated Hospital, South China University of Technology (Nanhai District People's Hospital of Foshan), Foshan, People's Republic of China.
Yutao LanSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA high prevalence of psychological distress is observed in nurses due to multiple occupational stressors. Personality traits and personal factors are important factors that lead to psychological distress. The personality profile reflects a combination of personality traits; however, the relationship between personality profiles and personal factors that affect psychological distress among nurses has not been defined.

methodsThis cross-sectional study was conducted in November 2020 in China. Convenience and snowball sampling were used to recruit participants. Latent profile analysis was used to identify personality profiles of nurses based on the big-five personality traits. Single-factor analysis and multivariate logistic regression were used to determine the factors affecting psychological distress. The structural equation model was used to verify the hypothetical model linking personality profiles, self-efficacy, psychological resilience, and coping style with psychological distress.

resultsA total of 953 Chinese nurses (934 female) with a mean (S.D.) age of 32.8 (8.6) years were recruited. Personality profiles identified were negative, normative, and positive. A personality profile may predict psychological distress directly and indirectly through self-efficacy, psychological resilience, and coping style. LIMITATIONS: No complex sampling limits the representativeness of Chinese nurses. External factors affecting psychological distress were not investigated.

conclusionNurses with anegative personality profile had a higher prevalence of psychological distress. This study establishes the importance of personality profile assessment to identify nurses at higher risk of psychological distress. It suggests that interventions should be based on self-efficacy, psychological resilience, and coping style as potential management strategies.

Indexed as

coping stylenursepersonality profilepsychological distresspsychological resilienceself-efficacy

Identifiers

PMID34629913
PMCPMC8495230

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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.