| Literature DB >> 34194276 |
Sulhi A Alfakeh1, Abdulrahman A Alghamdi2, Khalid A Kouzaba2, Mohammed I Altaifi2, Sultan D Abu-Alamah2, Malik M Salamah2.
Abstract
BACKGROUND: The effect of cyberbullying varies from the small levels of discomfort to serious psychological and social issues. Studies on parents' perception of cyberbullying in Saudi Arabia are scarce. The aim of this study was to determine parents' awareness and perception of cyberbullying of their children in Saudi Arabia.Entities:
Keywords: Children; Saudi; cyberbullying; parents’; perception
Year: 2021 PMID: 34194276 PMCID: PMC8213097 DOI: 10.4103/jfcm.JFCM_516_20
Source DB: PubMed Journal: J Family Community Med ISSN: 1319-1683
Sociodemographic characteristics of the study participants (n=1249)
| Variable | |
|---|---|
| Guardian | |
| Father | 386 (30.9) |
| Mother | 863 (69.1) |
| Age (years) | |
| <30 | 199 (15.9) |
| 30-60 | 1030 (62.5) |
| >60 | 20 (1.6) |
| Nationality | |
| Saudi | 1179 (94.4) |
| Non-Saudi | 70 (5.6) |
| Level of education | |
| Less than high school | 125 (10.0) |
| High school | 301 (4.1) |
| Bachelor’s degree | 669 (53.6) |
| Master’s degree | 154912.3) |
| Occupation | |
| Employed | 679 (54.4) |
| Unemployed | 457 (36.6) |
| Retired | 113 (9.0) |
| KSA region | |
| Western area | 486 (38.9) |
| Eastern area | 190 (15.2) |
| Northern area | 267 (21.4) |
| Southern area | 191 (15.3) |
| Middle area | 115 (9.2) |
| Monthly income (SR) | |
| <10,000 | 644 (51.6) |
| 10000-<20,000 | 457 (36.6) |
| 20000-30,000 | 95 (7.6) |
| >30000 SR | 53 (4.2) |
| Number of children (mean±SD) | 4.22±2.3 |
SD=Standard deviation
Distribution of the study participants according to their response to items related to cyberbullying (n=1249)
| Strongly disagree | Disagree | Agree | Strongly agree | |
|---|---|---|---|---|
| Cyberbullying is a problem at my child’s school | 66 (5.3) | 420 (33.6) | 443 (35.5) | 320 (25.6) |
| Cyberbullying occurs during school time | 54 (4.3) | 456 (36.5) | 471 (37.7) | 268 (21.5) |
| Cyberbullying occurs outside school | 23 (1.8) | 130 (10.4) | 693 (55.5) | 403 (32.3) |
| Cyberbullying is an issue that needs increased attention from parents | 6 (0.5) | 19 (1.5) | 344 (27.5) | 880 (70.5) |
| Cyberbullying is more harmful than bullying in the schoolyard | 20 (1.6) | 214 (17.1) | 482 (38.6) | 533 (42.7) |
| I have discussed cyberbullying with my child | 585 (46.8) | 0 | 0 | 664 (53.2) |
| My child is likely to talk to me about cyberbullying | 42 (3.4) | 331 (26.5) | 583 (46.7) | 293 (23.5) |
| Cyberbullying occurs less frequently than bullying in my child’s school | 39 (3.1) | 318 (25.5) | 618 (49.5) | 274 (21.9) |
| I have heard or read that cyberbullying has contributed to suicide | 352 (28.2) | 0 | 0 | 897 (71.8) |
Figure 1Percentage distribution of social platforms where cyberbullying occurs
Distribution of the study participants according to the frequency of social media use, sources of knowledge about cyberbullying, and their opinion about cyberbullying (n=1249)
| Variable | |
|---|---|
| Do you use social media daily? | |
| Strongly disagree | 24 (1.9) |
| Disagree | 184 (14.7) |
| Agree | 640 (51.2) |
| Strongly agree | 401 (32.1) |
| I have learned about cyberbullying from the news on radio or TV | |
| No | 455 (36.4) |
| Yes | 794 (63.6) |
| My child’s school has informed me about cyberbullying | |
| No | 965 (77.3) |
| Yes | 284 (22.7) |
| I learned about cyberbullying from my child | |
| No | 767 (61.4) |
| Yes | 482 (38.6) |
| I have done my own research or investigation about cyberbullying | |
| No | 592 (47.4) |
| Yes | 657 (52.6) |
| When a youth is cyberbullied, I believe there are some issues | |
| No | 328 (26.3) |
| Yes | 921 (73.7) |
Attitude of the study participants towards cyberbullying (n=1249)
| Variable | |
|---|---|
| I believe that cyberbullying can cause psychological harm to my child | |
| Strongly disagree | 8 (0.6) |
| Disagree | 27 (2.2) |
| Agree | 419 (33.5) |
| Strongly agree | 795 (63.7) |
| I believe it is important to monitor my child’s use of the internet | |
| Strongly disagree | 3 (0.2) |
| Disagree | 30 (2.4) |
| Agree | 293 (23.5) |
| Strongly agree | 923 (73.9) |
| I believe it is important to place restrictions on my child’s use of the internet | |
| Strongly disagree | 8 (0.6) |
| Disagree | 46 (3.7) |
| Agree | 349 (27.9) |
| Strongly agree | 846 (67.7) |
| Schools should be proactive in addressing cyberbullying | |
| Strongly disagree | 3 (0.2) |
| Disagree | 10 (0.8) |
| Agree | 261 (20.9) |
| Strongly agree | 975 (78.1) |
| Schools should increase involvement in addressing cyberbullying | |
| Strongly disagree | 134(`0.7) |
| Disagree | 461 (36.9) |
| Agree | 265 (21.2) |
| Strongly agree | 389 (31.1) |
| Parents should be more proactive in addressing cyberbullying | |
| Strongly disagree | 2 (0.2) |
| Disagree | 16 (1.3) |
| Agree | 322 (5.8) |
| Strongly agree | 909 (72.8) |
| Parents involvement in addressing cyberbullying would reduce it | |
| Strongly disagree | 207 (16.6) |
| Disagree | 446 (35.7) |
| Agree | 247 (19.8) |
| Strongly agree | 349 (27.9) |
| More laws should be passed to prevent or punish cyberbullying | |
| Strongly disagree | 5 (0.4) |
| Disagree | 16 (1.3) |
| Agree | 290 (23.2) |
| Strongly agree | 938 (75.1) |
Relationship between attitude scores and participants’ characteristics and frequency of use of social media (n=1249)
| Variable | Attitude score(mean±SD) | Test statistic | |
|---|---|---|---|
| Guardian | |||
| Father | 27.47±3.07 | 0.13* | 0.892 |
| Mother | 27.46±2.71 | ||
| Age (years) | |||
| <30 | 27.82±2.87 | 2.0** | 0.08 |
| 30-60 | 27.4±2.81 | ||
| >60 | 27.45±2.68 | ||
| Nationality | |||
| Saudi | 27.48±2.81 | 0.74* | 0.457 |
| Non-Saudi | 27.22±3.11 | ||
| Level of education | |||
| Less than high school | 26.79±2.68 | 3.0** | <0.001 |
| High school | 27.34±2.69 | ||
| Bachelor’s degree | 27.51±3.07 | ||
| Master’s degree | 28.07±2.98 | ||
| Occupation | |||
| Employee | 27.46±2.88 | 2.0** | 0.737 |
| Unemployed | 27.52±2.72 | ||
| Retired | 27.26±2.89 | ||
| KSA region | |||
| Western area | 27.25±2.46 | 4.0** | <0.001 |
| Eastern area | 27.13±2.58 | ||
| Northern area | 28.28±3.61 | ||
| Southern area | 27.51±2.64 | ||
| Middle area | 26.94±2.51 | ||
| Monthly income (SR) | |||
| <10,000 | 27.90±2.85 | 3.0** | <0.001 |
| 10,000- <20,000 | 27.11±2.76 | ||
| 20,000-30,000 | 27±2.36 | ||
| >30,000 | 26.05±2.78 | ||
| Do you use social media on a daily basis? | |||
| Strongly disagree | 26.87±3.18 | 3.1** | <0.001 |
| Disagree | 26.78±2.88 | ||
| Agree | 26.88±2.55 | ||
| Strongly agree | 28.75±2.76 |
*Mann-Whitney test, **Kruskal-Wallis test. SD=Standard deviation