Prevalence of insomnia, fatigue and symptoms of mental health problems among emergency medical service nurses: a cross-sectional study

Dataset

DOI

This dataset was collected to examine the prevalence of insomnia, fatigue, anxiety, depression, and post-traumatic stress symptoms among Dutch EMS nurses, and to identify personal and work-related risk factors. It consists of anonymized, cross-sectional survey data from EMS professionals, including demographics, work characteristics, COVID-19 status, and validated measures (Insomnia Severity Index, Need for Recovery, HADS-A/D, IES-6). Data were collected in spring 2022 across all 25 EMS organizations in the Netherlands, enabling prevalence analyses and exploration of associations between occupational factors and mental health outcomes.

Identifier
DOI	https://doi.org/10.17026/LS/6RHPXT
Metadata Access	https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/LS/6RHPXT

Provenance
Creator	M. Oosterhuis-Niënhaus
Publisher	DANS Data Station Life Sciences
Contributor	Oosterhuis, Marieke; Berben, Sivera; Vloet, Lilian; Detaille, Sarah; Vermeulen, Hester; Hoefnagel, Jan; Knol, Mischa; Schepens, Ellen; Boogaard van den, Mark; Ebben, Remco
Publication Year	2025
Funding Reference	Han University of Applied Science
Rights	CC-BY-SA-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-sa/4.0
OpenAccess	true
Contact	Oosterhuis, Marieke (HAN University of Applied Sciences, 0500gea42)

Representation
Resource Type	Survey Data; Dataset
Format	text/tab-separated-values; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size	79383; 607084
Version	1.0
Discipline	Life Sciences; Medicine
Spatial Coverage	the Netherlands