Predictors of Gaming Behavior among Military Peacekeepers – Exploring the Role of Boredom and Loneliness in Relation to Gaming Problems
, , and | Jun 16, 2017
About this article
Article Category: Research Article
Published Online: Jun 16, 2017
Page range: 1 - 10
Received: Jul 06, 2016
Accepted: Mar 22, 2017
DOI: https://doi.org/10.1515/jms-2017-0001
Keywords
© 2020 Myrseth et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Descriptive data for the sample (N = 246).
| n (%) | Mean (SD) | |
|---|---|---|
| Participated within past 6 months | 125 (50.4) | |
| Addicted gamer | 0 | |
| Problem gamer | 7 (5.6) | |
| Highly engaged gamer | 4 (3.2) | |
| Nonproblem gamer | 114 (91.2) | |
| Male | 225 (91.5) | |
| Female | 21 (8.5) | |
| 37.5 (9.6) | ||
| 0–6 months | 81 (33.5) | |
| 7–12 months | 72 (29.8) | |
| 13 months or more | 89 (36.8) | |
| 1 | 140 (58.6) | |
| 2 | 42 (17.6) | |
| 3 | 29 (12.1) | |
| 4 | 9 (3.8) | |
| 5 or more | 19 (7.9) | |
| Partner | 198 (80.8) | |
| No partner | 47 (19.2) | |
| Lower secondary education | 7 (2.9) | |
| Upper secondary education | 73 (30.3) | |
| <3 years higher education | 86 (35.7) | |
| >3 years higher education | 75 (31.1) | |
| Full time, part time | 226 (92.2) | |
| Not working | 6 (2.4) | |
| Student | 13 (5.3) | |
| 6.2 (1.6) | ||
| 6.9 (1.9) | ||
| 9.7 (2.9) | ||
| 2.3 (0.7) | ||
| 3.8 (1.2) | ||
| Lack of internal stimulation | 27.7 (4.3) | |
| Lack of external stimulation | 18.9 (5.8) | |
| 4.4 (3.2) | ||
| 4.7 (1.8) | ||
| Nonhazardous drinking | 54 (23.2) | |
| Hazardous drinking | 179 (76.8) | |
| 7.2 (7.4) | ||
| Light combat | 167 (69.0) | |
| Light-to-moderate combat | 38 (15.7) | |
| Moderate combat | 31 (12.8) | |
| Moderate-to-heavy combat | 5 (2.1) | |
| Heavy combat | 1 (0.4) |
Predictors of problem gaming (N =246).
| Predictor variables | Prediction of problem gaming |
|||
|---|---|---|---|---|
| Crude analysis |
Adjusted analysis |
|||
| OR | 95% CI | OR | 95% CI | |
| Male (n = 225) | 1.00 | 1.00 | ||
| Female (n = 21) | 0.65 | [0.07–5.86] | 0.79 | [0.00–6.86E+17] |
| 0.96 | [0.87–1.05] | 1.11 | [0.93–1.33] | |
| Lack of internal stimulation | 1.20 | [1.03–1.40]* | 1.45 | [1.01–2.06]* |
| Lack of external stimulation | 1.09 | [0.99–1.21] | 1.07 | [0.92–1.25] |
| 1.22 | [1.03–1.46]* | 1.03 | [0.63–1.67] | |
| 1.89 | [1.29–2.76]** | 1.30 | [0.54–3.12] | |
| 2.11 | [1.47–3.03]** | 1.18 | [0.71–1.98] | |
| 1.67 | [1.28–2.17]** | 2.22 | [1.12–4.41]* | |
| 1.57 | [0.81–3.04] | 0.65 | [0.13–2.32] | |
| 1.89 | [1.28–2.77]** | 1.35 | [0.62–3.04] | |
| 1.15 | [0.82–1.62] | 0.59 | [0.03–11.67] | |
| 1.05 | [0.98–1.12] | 1.12 | [0.98–1.29] | |
Correlations among predictor variables.
| Predictor variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | – | |||||||||||
| 2. Age | 0.000 | – | ||||||||||
| 3. Lack of internal stimulation | –0.009 | –0.039 | – | |||||||||
| 4. Lack of external stimulation | –0.116 | – |
0.087 | – | ||||||||
| 5. Loneliness | 0.002 | –0.050 | – | |||||||||
| 6. Social motivation | –0.010 | – |
0.131 | 0.163 | 0.131 | – | ||||||
| 7. Coping motivation | 0.008 | – |
0.139 | – | ||||||||
| 8. Enhancement motivation | –0.117 | – |
0.064 | 0.066 | 0.136 | – | ||||||
| 9. Anxiety | 0.042 | –0.112 | 0.084 | 0.120 | 0.106 | 0.153 | ||||||
| 10. Depression | 0.071 | –0.099 | 0.161 | 0.235 | – | |||||||
| 11. Hazardous drinking | 0.023 | –0.122 | –0.113 | 0.020 | 0.128 | –0.107 | –0.052 – | 0.028 | 0.074 | – | ||
| 12. Combat exposure | –0.089 | 0. |
–0.092 | 0.141 | 0.034 | 0.045 | 0.108 | – |