Download
s13643-020-01463-x.pdf 780,61KB
WeightNameValue
1000 Titel
  • Association of working conditions including digital technology use and systemic inflammation among employees: study protocol for a systematic review
1000 Autor/in
  1. Kaltenegger, Helena |
  2. Becker, Linda |
  3. Rohleder, Nicolas |
  4. Nowak, Dennis |
  5. Weigl, Matthias |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-28
1000 Erschienen in
1000 Quellenangabe
  • 9(1):221
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13643-020-01463-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523305/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background: With the dynamic advancement of digitalization, working environments are changing and risk for employee stress may be increasing. Work stress has been associated with a dysregulation of inflammatory processes as a component of immune function. Systemic low-grade inflammation is discussed as a key player in the relation between stress exposure and chronic illness, such as cardiovascular diseases. The objective of this investigation will be to evaluate the association of working conditions including digital technology use and systemic inflammation among employees. Methods: We designed and registered a study protocol for a systematic review of randomized controlled trials and prospective non-randomized studies (e.g., cohort, interrupted time series, or before-after studies). We will include studies conducted among adult workers reporting associations of working conditions and inflammatory activity. The outcome will be biomarkers of systemic low-grade inflammation on cell, plasma molecule and intracellular level, such as C-reactive protein, or different types of leukocytes, cytokines, etc. Literature searches will be conducted in several electronic databases (from January 1982 onwards), including PubMed/MEDLINE, Embase, PsycINFO, Web of Science, and CENTRAL. Two reviewers will independently screen all retrieved records, full-text articles, and extract data. The study methodological quality (or bias) will be appraised using appropriate tools. Our results will be described qualitatively. Random effects meta-analysis will be conducted, if feasible and appropriate. Additional analyses will be performed to explore potential sources of heterogeneity. Discussion: This systematic review and meta-analysis will provide a synthesis of studies evaluating the association of working conditions and systemic inflammation. We anticipate our findings to identify knowledge gaps in the literature that future research should address. Moreover, results of our review may provide implications for corporate and public policy action for employee health promotion and prevention of occupational stress.
1000 Sacherschließung
lokal Health
lokal Systematic Reviews as Topic [MeSH]
lokal Adult [MeSH]
lokal Work
lokal Humans [MeSH]
lokal Inflammation
lokal Prospective Studies [MeSH]
lokal Inflammation [MeSH]
lokal Cardiovascular Diseases [MeSH]
lokal Delivery of Health Care [MeSH]
lokal Occupational stress
lokal Protocol
lokal Digital Technology [MeSH]
lokal Randomized Controlled Trials as Topic [MeSH]
lokal Inflammatory markers
lokal Working conditions
lokal Technostress
lokal Immune system
lokal Digitalization
lokal Job
lokal Meta-Analysis as Topic [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-5661-1682|https://frl.publisso.de/adhoc/uri/QmVja2VyLCBMaW5kYQ==|https://frl.publisso.de/adhoc/uri/Um9obGVkZXIsIE5pY29sYXM=|https://frl.publisso.de/adhoc/uri/Tm93YWssIERlbm5pcw==|https://frl.publisso.de/adhoc/uri/V2VpZ2wsIE1hdHRoaWFz
1000 Hinweis
  • DeepGreen-ID: 67ecb7eddc4b44e9b130936410f5dd10 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6452404.rdf
1000 Erstellt am 2023-05-12T15:07:14.797+0200
1000 Erstellt von 322
1000 beschreibt frl:6452404
1000 Zuletzt bearbeitet 2023-10-24T06:58:36.038+0200
1000 Objekt bearb. Tue Oct 24 06:58:36 CEST 2023
1000 Vgl. frl:6452404
1000 Oai Id
  1. oai:frl.publisso.de:frl:6452404 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source