Summary information

Study title

Digital Gaming, Work and Health Survey 2022

Creator

Karhulahti, Veli-Matti (University of Jyväskylä) - 0000-0003-3709-5341
Vahlo, Jukka (University of Jyväskylä) - 0000-0001-5835-5945
Munukka, Matti (University of Jyväskylä) - 000-0003-3101-466X
Koskimaa, Raine (University of Jyväskylä) - 0000-0002-1492-4074
von Bonsdorff, Mikaela (University of Jyväskylä) - 0000-0001-8530-5230

Study number / PID

FSD3673 (FSD)

urn:nbn:fi:fsd:T-FSD3673 (URN)

10.60686/t-fsd3673 (DOI)

Data access

Restricted

Series

Individual datasets

Individual datasets that do not belong to any series.

Abstract

The survey charted the wellbeing of Finnish employees, their work and digital gaming. Some respondents have also answered a similar survey conducted in 2021: FSD3689 Digital Gaming, Work and Health Survey 2021. Respondents of the both surveys (n=492) can be matched using a randomized identification variable in the data. In the survey, the respondents were first asked about their perceived health and quality of life, before moving on to digital gaming. They were asked about the time they spent on gaming-related issues, the reasons behind their gaming and the consequences of gaming. They were also asked about gambling and the amount of physical activity. The non-gaming respondents were asked why they do not play digital games. Next, respondents were asked about their views on themselves and their well-being. Respondents were asked to evaluate their own levels of worry and anxiety. This was followed by questions on factors such as perceived melancholy, loneliness, belief in the future and sense of self-worth. The survey includes the following measurement indicators: Gaming addiction scale (GAS7), Internet Gaming Disorder Test (IGDT10), Gaming disorder test (GDT), Problem gaming test (THL1), PROMIS General Mental Health (GMH-2), PROMIS General Physical Health (GPH-2), Work ability index (WAI), Work recovery question (WR), Perceived loneliness (PL), Pathological gambling (BBDS), General anxiety disorder scale 2 (GAD-2) and Beck Depression Inventory (BDI). Background variables included the respondent's age, gender, employment status and NUTS3 region of residence.

Methodology

Data collection period

09/03/2022 - 28/05/2022

Country

Finland

Time dimension

Cross-section

Analysis unit

Individual

Universe

Finnish citizens aged 16 and over

Sampling procedure

Probability: Cluster: Stratified random

Kind of data

Quantitative

Data collection mode

Self-administered questionnaire: Web-based (CAWI)

Funding information

Funder

Finnish Work Environment Fund

Grant number

200349

Funder

Academy of Finland

Grant number

312397

Access

Publisher

Finnish Social Science Data Archive

Publication year

2023

Terms of data access

The dataset is (B) available for research, teaching and study.

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