Evidence map›Paper›PMID 39696389›Full record

ArticleBMC nursing2024

Risk factors for anxiety, depression, stress, and their comorbidities among nurses: a prospective cohort from 2020 to 2022.

Xiaomei Hu, Wenbi Mu, Jing Zhou, Hang Zhou, Xiaokai Yan, Kunyan Yue, TongLing Liu, Wenbi Huang, Liping Ren, Fengming Zou and 3 more

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Xiaomei HuThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
Wenbi MuZunyi Medical University, Zunyi, 563006, Guizhou, China.
Jing ZhouThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China. 15085116669@163.com.
Hang ZhouThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China. 18754150352@163.com.
Xiaokai YanThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China. yxk11011@163.com.
Kunyan YueThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
TongLing LiuThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
Wenbi HuangThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
Liping RenThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
Fengming ZouThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
Anyan ZhangThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
Xia SunThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.
Hui ZengThe Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, Guizhou, China.

Funding

Joint funding projects for science and technology by Zunyi Science and Technology Bureau and Zunyi Mediacal University HZ(2020)86New Scientist Training Program of Zunyi Meidical University [2019]-025
6 · The paper itself

Abstract

backgroundNurses are at the forefront of healthcare delivery during the COVID-19, placing them at an increased risk for mental health issues. This study aimed to identify the risk factors for anxiety, depression, stress, and their comorbidities among nurses during the 2020-2022 period.

methodsA prospective cohort of nurses in Zunyi City, China, was followed from 2020 to 2022. The Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), and Perceived Stress Scale (PSS) were used to assess anxiety, depression, and stress, respectively. A self-reported questionnaire was utilized to collect data on demographic characteristics, lifestyle habits, socioeconomic status, work-related factors, and medical history. The Healthy Eating Index (HEI) was calculated to evaluate diet quality. Univariate and multivariate logistic regression analyses were conducted to examine the associations between risk factors and mental health outcomes.

resultsAmong the 516 participating nurses, the incidence rates of new-onset anxiety, depression, and stress were 27.1%, 33.9%, and 39.9%, respectively. Frontline experience with infected patients, night shift work, longer working hours, and higher body mass index were consistently associated with increased risks of anxiety, depression, and stress, whereas a higher healthy eating index score was linked to reduced odds of these mental health outcomes. Notably, higher BMI (≥ 28: OR = 1.67, 95% CI: 1.12-2.16, p = 0.011), night shifts (> 1/week: OR = 5.12, 95% CI: 3.64-5.99, p < 0.001), longer working hours (> 40/week: OR = 1.99, 95% CI: 1.66-2.89, p < 0.001), and frontline experience (OR = 6.11, 95% CI: 4.52-8.88, p < 0.001) significantly increased comorbidity risk, while higher HEI (> 3: OR = 0.51, 95% CI: 0.36-0.70, p < 0.001) reduced the risk.

conclusionOur study highlights the considerable mental health burden among nurses during the 2020-2022 period and identifies key risk factors associated with anxiety, depression, stress, and their comorbidities. These findings underscore the importance of providing targeted interventions and support for nurses, including workload management, work-life balance promotion, and healthy lifestyle encouragement, to mitigate the negative consequences of identified risk factors and improve mental health outcomes.

Indexed as

AnxietyCohort studyComorbiditiesDepressionNursesStress

Identifiers

PMID39696389
PMCPMC11658259

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.