Evidence map›Paper›PMID 36348817›Full record

ArticleEurope's journal of psychology2022

Work Addiction Among Employees and Self-Employed Workers: An Investigation Based on the Italian Version of the Bergen Work Addiction Scale.

Monica Molino, Liliya Scafuri Kovalchuk, Chiara Ghislieri, Paola Spagnoli

Open access · diamondAbstract read
In one paragraph

Article in Europe's journal of psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Workaholism Scales: Some Challenges Ahead.Behavioral sciences (Basel, Switzerland) · 2023
    Review
  5. Article
  6. 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

4 authors at 2 institutions in 1 country.

Monica MolinoDepartment of Psychology, University of Turin, Turin, Italy.
Liliya Scafuri KovalchukDepartment of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
Chiara GhislieriDepartment of Psychology, University of Turin, Turin, Italy.
Paola SpagnoliDepartment of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
University of Campania "Luigi Vanvitelli" · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing interest in work addiction is connected to recent changes in the work culture and work habits. Despite this interest, knowledge pertaining to this phenomenon and measures to assess it are still limited. This study aims to contribute by examining the psychometric features of the Italian version of the Bergen Work Addiction Scale, a unidimensional scale based on the perspective of addiction. The research method consisted in two steps: in the first cross-sectional study, a convenience sample of 1,035 workers filled in a self-report questionnaire; the second step was a two-wave longitudinal study that involved a convenience sample of 292 workers. Results confirmed the psychometric properties of the scale across employees and self-employed groups. Moreover, results showed a significantly higher level of work addiction among self-employed workers than employees. This study provides support for the evaluation of workaholism in the Italian context among different kind of professions.

Indexed as

assessmentBergen Work Addiction Scalepsychometricsscaleself-employedworkaholism

Identifiers

PMID36348817
PMCPMC9632556
OpenAlexW4293767595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.