Have a personal or library account? Click to login
Predictors of Gaming Behavior among Military Peacekeepers – Exploring the Role of Boredom and Loneliness in Relation to Gaming Problems Cover

Predictors of Gaming Behavior among Military Peacekeepers – Exploring the Role of Boredom and Loneliness in Relation to Gaming Problems

Open Access
|Jun 2017

Figures & Tables

Descriptive data for the sample (N = 246)_

n (%)Mean (SD)
Gaming participation
        Participated within past 6 months125 (50.4)
        Addicted gamer0
        Problem gamer7 (5.6)
        Highly engaged gamer4 (3.2)
        Nonproblem gamer114 (91.2)
Gender
        Male225 (91.5)
        Female21 (8.5)
Age 37.5 (9.6)
Months deployed
        0–6 months81 (33.5)
        7–12 months72 (29.8)
        13 months or more89 (36.8)
Previous deployments
        1140 (58.6)
        242 (17.6)
        329 (12.1)
        49 (3.8)
        5 or more19 (7.9)
Marital status
        Partner198 (80.8)
        No partner47 (19.2)
Education level
        Lower secondary education7 (2.9)
        Upper secondary education73 (30.3)
        <3 years higher education86 (35.7)
        >3 years higher education75 (31.1)
Employment status
        Full time, part time226 (92.2)
        Not working6 (2.4)
        Student13 (5.3)
Social motivation 6.2 (1.6)
Coping motivation 6.9 (1.9)
Enhancement motivation 9.7 (2.9)
Anxiety 2.3 (0.7)
Depression 3.8 (1.2)
Boredom proneness
        Lack of internal stimulation 27.7 (4.3)
        Lack of external stimulation 18.9 (5.8)
Loneliness 4.4 (3.2)
Hazardous drinking 4.7 (1.8)
        Nonhazardous drinking54 (23.2)
        Hazardous drinking179 (76.8)
Combat exposure 7.2 (7.4)
        Light combat167 (69.0)
        Light-to-moderate combat38 (15.7)
        Moderate combat31 (12.8)
        Moderate-to-heavy combat5 (2.1)
        Heavy combat1 (0.4)

Predictors of problem gaming (N =246)_

Predictor variablesPrediction of problem gaming
Crude analysis
Adjusted analysis
OR95% CIOR95% CI
Gender
         Male (n = 225)1.00 1.00
         Female (n = 21)0.65[0.07–5.86]0.79[0.00–6.86E+17]
Age0.96[0.87–1.05]1.11[0.93–1.33]
Boredom proneness
         Lack of internal stimulation1.20[1.03–1.40]*1.45[1.01–2.06]*
         Lack of external stimulation1.09[0.99–1.21]1.07[0.92–1.25]
Loneliness1.22[1.03–1.46]*1.03[0.63–1.67]
Social motivation1.89[1.29–2.76]**1.30[0.54–3.12]
Coping motivation2.11[1.47–3.03]**1.18[0.71–1.98]
Enhancement motivation1.67[1.28–2.17]**2.22[1.12–4.41]*
Anxiety1.57[0.81–3.04]0.65[0.13–2.32]
Depression1.89[1.28–2.77]**1.35[0.62–3.04]
Hazardous drinking1.15[0.82–1.62]0.59[0.03–11.67]
Combat exposure1.05[0.98–1.12]1.12[0.98–1.29]

Correlations among predictor variables_

Predictor variables123456789101112
1. Gender
2. Age0.000
3. Lack of internal stimulation–0.009–0.039
4. Lack of external stimulation–0.1160.2830.087
5. Loneliness0.002–0.0500.2230.383
6. Social motivation–0.0100.3220.1310.1630.131
7. Coping motivation0.0080.1960.1800.1390.2720.520
8. Enhancement motivation–0.1170.3240.0640.0660.1360.5490.629
9. Anxiety0.042–0.1120.0840.1200.2380.1060.2360.153
10. Depression0.071–0.0990.1610.2350.3880.3180.4440.2040.503
11. Hazardous drinking0.023–0.122–0.1130.1610.0200.128–0.107–0.052 –0.0280.074
12. Combat exposure–0.0890.232–0.0920.2030.1290.1410.0340.0450.1770.1280.108
DOI: https://doi.org/10.1515/jms-2017-0001 | Journal eISSN: 1799-3350 | Journal ISSN: 2242-3524
Language: English
Page range: 1 - 10
Submitted on: Jul 6, 2016
Accepted on: Mar 22, 2017
Published on: Jun 16, 2017
Published by: National Defense University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Helga Myrseth, Olav Kjellevold Olsen, Einar Kristian Borud, Leif Åge Strand, published by National Defense University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.