| Literature DB >> 22778698 |
Daniel T L Shek1, Cecilia M S Ma.
Abstract
Consumption of pornographic materials was examined in 3,638 secondary 2 students in Hong Kong. Results showed that over 80% of the respondents had never consumed pornographic materials in the past year. Internet pornography was the most common medium that adolescents used when viewing pornographic materials. Males reported a higher level of pornography consumption than did females. Participants who were born in mainland China were more likely to consume pornographic materials than their Hong Kong counterparts. Regardless of the types of pornographic materials, the levels of pornography consumption significantly increased over time. Results also showed that higher levels of positive youth development and better family functioning were concurrently related to a lower level of pornography consumption at secondary 2. The relative contribution of positive youth development and family factors to pornographic material consumption was also explored.Entities:
Mesh:
Year: 2012 PMID: 22778698 PMCID: PMC3385627 DOI: 10.1100/2012/406063
Source DB: PubMed Journal: ScientificWorldJournal ISSN: 1537-744X
Demographic information of the respondents (N = 3,638).
|
| % | |
|---|---|---|
| Gender* | ||
| Male | 1,864 | 52 |
| Female | 1,716 | 48 |
| Place of birth | ||
| Hong Kong | 2,806 | 79 |
| Mainland China | 690 | 19 |
| Others | 73 | 2 |
| Location of schools | ||
| Hong Kong island | 5 | 18 |
| Kowloon | 7 | 25 |
| New territories | 16 | 57 |
| Parents' marital status | ||
| Married | 2,985 | 83 |
| Divorced/separated | 334 | 9 |
| Remarried | 168 | 5 |
| Others | 122 | 3 |
| Receiving financial aids | ||
| Yes | 208 | 6 |
| No | 2,932 | 81 |
| Others | 472 | 13 |
*58 respondents did not identify their gender.
Correlations among variables in the model.
|
|
| Overall pornography ( | Internet pornography ( | Traditional pornography ( | |
|---|---|---|---|---|---|
| Subscales based on primary-order factors | |||||
| BO | 4.60 (.90) | .77 (.53) | −.14** | −.12** | −.12** |
| RE | 4.57 (.90) | .81 (.59) | −.11** | −.09** | −.10** |
| SC | 4.67 (.89) | .88 (.71) | −.09** | −.08** | −.06** |
| PB | 4.20 (.95) | .77 (.53) | −.14** | −.13** | −.11** |
| EC | 4.27 (.90) | .74 (.49) | −.10** | −.10** | −.07** |
| CC | 4.35 (.86) | .83 (.62) | −.11** | −.09** | −.10** |
| BC | 4.49 (.82) | .76 (.52) | −.11** | −.10** | −.10** |
| MC | 4.38 (.87) | .75 (.50) | −.14** | −.13** | −.10** |
| SD | 4.41 (.88) | .78 (.55) | −.09** | −.08** | −.06** |
| SE | 4.33 (.93) | .68 (.51) | −.06** | −.06** | −.04** |
| SI | 4.06 (1.01) | .80 (.57) | −.02 | −.02 | −.02 |
| BF | 4.26 (1.06) | .85 (.66) | −.07** | −.07** | −.06** |
| PI | 4.26 (.98) | .82 (.59) | −.11** | −.11** | −.07** |
| PN | 4.50 (.95) | .72 (.47) | −.18** | −.18** | −.12** |
| SP | 4.99 (1.30) | .89 (.73) | −.09** | −.09** | −.07** |
|
| |||||
| Subscales based on second-order factors | |||||
| CBC | 4.42 (.74) | .84 (.65) | −.12** | −.10** | −.10** |
| PA | 4.38 (.86) | .75 (.60) | −.16** | −.16** | −.12** |
| GPYDQ | 4.51 (.71) | .88 (.49) | −.15** | −.14** | −.11** |
| PID | 4.16 (.96) | .84 (.73) | −.05** | −.05** | −.04* |
|
| |||||
| Subscales based on family functioning | |||||
| Mutuality | 3.80 (.90) | .88 (.72) | −.12** | −.12** | −.09** |
| Harmony | 2.27 (.93) | .78 (.55) | −.10** | −.11** | −.09** |
| Communication | 3.41 (.96) | .81 (.59) | −.09** | −.10** | −.06** |
**P < .01; *P < .05.
Note. BO: bonding; RE: resilience; SC: social competence; PB: recognition for positive behavior; EC: emotional competence; CC: cognitive competence; BC: behavioral competence; MC: moral competence; SD: self-determination; SE: self-efficacy; CPI: clear and positive identity; BF: beliefs in the future; PI: prosocial involvement; PN: prosocial norms; SP: spirituality; CBC: cognitive-behavioral competencies second-order factor; PA: prosocial attributes second-order factor; GPYDQ: general positive youth development qualities second-order factor; PID: positive identity second-order factor.
**P < .01.
#Mean interitem correlations.
Past year exposure to internet and traditional pornographic materials.
| Never (%) | Less than 1 time a month (%) | 1–3 times a month (%) | About 1 time a week (%) | Several times a week (%) | Daily (%) | |
|---|---|---|---|---|---|---|
| Internet | ||||||
| Pornographic stories | 89.8 | 6.3 | 1.7 | .8 | .9 | .6 |
| Pornographic pictures (exposed genitals) | 88.5 | 7.5 | 1.5 | .8 | 1.0 | .6 |
| Pornographic videos (exposed genitals) | 88.4 | 6.4 | 2.2 | 1.1 | 1.1 | .7 |
| Sexual intercourse pictures (including comics) | 90.2 | 5.5 | 1.6 | .9 | 1.2 | .6 |
| Sexual intercourse videos (including cartoons) | 89.6 | 5.8 | 2.0 | .9 | 1.0 | .6 |
| Pornographic website | 91.5 | 4.9 | 1.3 | .8 | .8 | .7 |
|
| ||||||
| Traditional | ||||||
| Pornographic movies | 98.3 | 1.0 | .2 | .1 | .1 | .3 |
| Pornographic rental films | 98.5 | .7 | .2 | .1 | .1 | .4 |
| Pornographic movies on cable TV | 97.7 | 1.3 | .2 | .1 | .2 | .5 |
| Pornographic magazines | 97.6 | 1.3 | .3 | .2 | .2 | .5 |
| Pornographic books | 96.7 | 1.8 | .5 | .2 | .3 | .5 |
| Pornographic comics | 95.0 | 3.0 | .8 | .2 | .4 | .5 |
Past year exposure to internet and traditional pornographic materials by gender.
| Attempted (%) | ||
|---|---|---|
| Male | Female | |
| Internet | ||
| Pornographic stories | 12.2 | 8.1 |
| Pornographic pictures (exposed genitals) | 16.6 | 6.0 |
| Pornographic videos (exposed genitals) | 17.6 | 5.4 |
| Sexual intercourse pictures (including comics) | 13.2 | 6.2 |
| Sexual intercourse videos (including cartoons) | 14.6 | 6.0 |
| Pornographic website | 3.1 | 3.1 |
|
| ||
| Traditional | ||
| Pornographic movies | 2.4 | 1.0 |
| Pornographic rental films | 2.0 | 1.0 |
| Pornographic movies on cable TV | 2.9 | 1.6 |
| Pornographic magazines | 3.4 | 1.4 |
| Pornographic books | 4.0 | 2.7 |
| Pornographic comics | 5.2 | 4.7 |
The Chi-square test of independence among different types of pornographic materials by gender, immigrant status, and family economic background.
| Overall pornography | Internet pornography | Traditional pornography | ||||
|---|---|---|---|---|---|---|
| % |
| % |
| % |
| |
| Gender | ||||||
| Male | 26 | 85.68** | 24.4 | 85.64** | 7.9 | 3.35** |
| Female | 13 | 12.3 | 6.3 | |||
| Immigrant status | ||||||
| Hong Kong | 18.4 | 14.92** | 17.2 | 12.24** | 6.8 | 2.08 |
| Mainland China | 24.5 | 22.7 | 8.2 | |||
| Receiving financial aids | ||||||
| No | 23.1 | 1.63 | 21.5 | 1.46 | 7.7 | .96 |
| Yes | 19.5 | 18.2 | 6.9 | |||
**P < .01.
The observed percentage.
Paired t-test results among different types of pornographic materials by wave.
| Wave 1 | Wave 2 |
|
| |
|---|---|---|---|---|
|
|
| |||
| Overall pornography | 1.05 (.22) | 1.10 (.40) | −7.80** | .15 |
| Internet pornography | 1.08 (.32) | 1.16 (.57) | −8.59** | .17 |
| Traditional pornography | 1.02 (.15) | 1.04 (.29) | −3.96** | .09 |
**P < .01.