Evidence map›Paper›PMID 41787343›Full record

ArticleBMC nursing2026

The impact of working time conditions on nurses' private life: a cross-sectional study on spillover effects and structural factors for recovery.

Pia Brants, Susanne Hanefeld, Ann-Sophie Jacobs, Jasmin Hüttl, Sabrina Hanika, Katrin Lücker, Denise Vey

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Pia BrantsFachbereich Gesundheit, Technische Hochschule Mittelhessen, Willy Robert Pitzer-Institut für Versorgungsforschung und Rehabilitation, Wiesenstraße 14, Gießen, 35390, Deutschland. pia.brants@web.de.ORCID http://orcid.org/0009-0002-7816-8455
Susanne HanefeldFachbereich Gesundheit, Technische Hochschule Mittelhessen, Willy Robert Pitzer-Institut für Versorgungsforschung und Rehabilitation, Wiesenstraße 14, Gießen, 35390, Deutschland.ORCID http://orcid.org/0009-0001-0425-9154
Ann-Sophie JacobsFachbereich Gesundheit, Technische Hochschule Mittelhessen, Willy Robert Pitzer-Institut für Versorgungsforschung und Rehabilitation, Wiesenstraße 14, Gießen, 35390, Deutschland.ORCID http://orcid.org/0009-0000-2537-4648
Jasmin HüttlFachbereich Gesundheit, Technische Hochschule Mittelhessen, Willy Robert Pitzer-Institut für Versorgungsforschung und Rehabilitation, Wiesenstraße 14, Gießen, 35390, Deutschland.ORCID http://orcid.org/0009-0003-0507-5650
Sabrina HanikaFachbereich Gesundheit, Technische Hochschule Mittelhessen, Willy Robert Pitzer-Institut für Versorgungsforschung und Rehabilitation, Wiesenstraße 14, Gießen, 35390, Deutschland.ORCID http://orcid.org/0009-0008-2310-5469
Katrin LückerFachbereich Gesundheit, Technische Hochschule Mittelhessen, Willy Robert Pitzer-Institut für Versorgungsforschung und Rehabilitation, Wiesenstraße 14, Gießen, 35390, Deutschland.ORCID http://orcid.org/0009-0000-6089-5131
Denise VeyTechnische Hochschule Mittelhessen, Fachbereich Gesundheit, Gießen, Deutschland.ORCID http://orcid.org/0009-0009-5318-6682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorking conditions in the nursing profession, characterized by shift work and staff shortages, severely impair nurses’ capacity for recovery. This leads to a negative spillover effect, where work-related stress and exhaustion impact private life, threatening staff well-being and retention. While the consequences are known, the specific structural and organizational drivers of these recovery deficits are not fully understood. This study aims to identify key structural factors in working time arrangements that impact nurses’ recovery.

methodsA quantitative, cross-sectional online survey was conducted between August and October 2024. The sample included 544 nursing professionals from various stationary care sectors in Germany. A standardized questionnaire, developed from validated scales, assessed working time arrangements (overtime, breaks, rest periods), schedule predictability, and negative spillover effects from work to private life. Data were analyzed using descriptive statistics, Spearman’s correlations, and a multiple linear regression model.

resultsThe findings revealed a high prevalence of structural stressors, with a majority of nurses reporting regular overtime (61.5%), frequently missed breaks (61.2%), and non-adherence to statutory rest periods (55.9%). A multiple linear regression analysis, explaining 27.8% of the variance in negative spillover, showed that all five investigated structural factors were significant, independent predictors. The frequent omission of breaks emerged as the strongest unique predictor, followed by the frequency of schedule changes, schedule unpredictability (lead time), overtime, and insufficient rest periods.

conclusionThis study provides strong evidence that nurses’ recovery is critically dependent on structural organizational frameworks. Factors such as overtime, insufficient recovery periods, and schedule instability are key, modifiable drivers of the negative spillover effect, which undermines nurses’ work-life balance. Healthcare institutions and policymakers must shift from focusing on individual coping to implementing robust organizational policies. Key strategies include enforcing statutory rest periods, establishing predictable scheduling, and investing in staffing models that prevent systematic overtime. These structural interventions are essential to improve nurse retention and ensure the long-term sustainability of the nursing workforce.

trial registrationClinical trial number: not applicable.

Indexed as

Nursing staffRecoveryShift workWorking timeWork-life balance

Identifiers

PMID41787343
PMCPMC13072618

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Registered trials

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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.