Evidence map›Paper›PMID 38148024›Full record

ArticleIndustrial health2024

Uneven distribution of stressful working conditions among Japanese nurses: a secondary analysis of nurses with and without children.

Ryohei Kida, Yasuko Ogata, Satoko Nagai

Abstract read
In one paragraph

Article in Industrial health, 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

3 authors.

Ryohei KidaDepartment of Nursing Administration and Advanced Clinical Nursing, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Japan.
Yasuko OgataDepartment of Nursing Management and Gerontology Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University (TMDU), Japan.
Satoko NagaiDepartment of Nursing Management and Gerontology Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University (TMDU), Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supportive measures for employees raising children may have increased workloads on other nurses, causing psychological stress. This study aimed to clarify the differences in working conditions and psychological status among female Japanese nurses based on child-rearing attributes. We used data from 1,600 female nurses at 10 Japanese hospitals collected by the study of the Work Environment for Hospital Nurses in Japan conducted in 2016. The variables included work conditions (number of night shifts per month, daily overtime, number of paid holidays per year, and social support received), psychological status (sense of coherence, emotional exhaustion, and work engagement), and sociodemographic characteristics. An analysis of covariance was performed on the differences between the three groups (without children, with preschool-age children, and with children of other ages groups). The group without children had a relatively higher workload (p<0.01) and lower social support (p<0.01 and p<0.05). Additionally, they had higher emotional exhaustion and lower work engagement (p<0.01). This study confirmed the uneven distribution of work environment by work-life balance measures.

Indexed as

Nursing Staff, HospitalOccupational StressSocial SupportWorkloadAdultBurnout, ProfessionalEast Asian PeopleFemaleHumansJapanMiddle AgedSense of CoherenceStress, PsychologicalSurveys and QuestionnairesWork EngagementWorking ConditionsEmotional exhaustionFemale nursesJapanNight shiftOvertimeSocial supportWork engagementWork-life balance

Identifiers

PMID38148024
PMCPMC11170084

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.