| Literature DB >> 21609460 |
Amad N Khan1, Salema Khalid, Hussain I Khan, Mehnaz Jabeen.
Abstract
BACKGROUND: Living in a world greatly controlled by mass media makes it impossible to escape its pervading influence. As media in Pakistan has been free in the true sense of the word for only a few years, its impact on individuals is yet to be assessed. Our study aims to be the first to look at the effect media has on the body image of university students in a conservative, developing country like Pakistan. Also, we introduced the novel concept of body image dissatisfaction as being both negative and positive.Entities:
Mesh:
Year: 2011 PMID: 21609460 PMCID: PMC3119165 DOI: 10.1186/1471-2458-11-379
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Media exposure vs. gender
| Low media exposure | High media exposure | ||
|---|---|---|---|
| 101 (26.9%)+ | 275 (73.1%) | Chi-square = 11.9 | |
| 158 (38.7%) | 250 (61.3%) | ||
+Percentages were calculated out of the total of males and females respectively.
§ Yates corrected values were used for better accuracy.
Figure 1Distribution of the sample on basis of media exposure.
Figure 2Images shown to assess individuals' body image.
Peer pressure by gender
| Low PPS | High PPS | ||
|---|---|---|---|
| 310 (82.4%)+ | 66 (17.6%) | Chi-square = 36.0 | |
| 257 (63.0%) | 151 (37.0%) | ||
*PPS = Peer pressure score
+Percentages were calculated out of the total of males and females respectively.
§ Yates corrected values were used for better accuracy.
Media exposure in both high and low PPS groups vs. BID Scores.
| Negative BID Scores (n = 426) | |||
|---|---|---|---|
| Low Media Exposure | 190 (53.0%)+ | 68 (16.0%) | Chi-square = 119.7 |
| High Media Exposure | 168 (47.0%) | 358 (84.0%) | |
| Low Media Exposure | 134 (37.4%) | 52 (12.2%) | Chi-square = 77.7 |
| High Media Exposure | 123 (34.3%) | 257 (60.3%) | |
| Low Media Exposure | 54 (15.1%) | 18 (4.2%) | Chi-square = 33.84 |
| High Media Exposure | 47 (13.1%) | 99 (23.2%) | |
^PPS = Peer pressure score
*BID = Body Image Dissatisfaction Score.
§Chi square test was applied here to find significant results showing that high media exposure correlates with negative BID scores. Yates corrected values were used for better accuracy.
+The percentages are calculated by dividing the numbers by the totals of the BID groups
Association of Image Dissatisfaction with Gender
| Positive BID* Score | Negative BID Score | ||
|---|---|---|---|
| 93 (24.7%)^ | 283 (75.3%) | Chi-square = 125.94 | |
| 265 (65.0%) | 143 (35.0%) | ||
*BID = Body Image Dissatisfaction Score.
§ Yates corrected values were used for better accuracy.
^Percentages were calculated out of the total of males and females.
Body image dissatisfaction amongst different populations
| Author | Population Details | Body Image Dissatisfaction (BID) |
|---|---|---|
| Wilkosz ME et al. [ | Californian adolescents (n = 1807, 55.3% girls and 44.7% boys, aged 12-17) | 24% of |
| Lobera IJ et al. [ | Spanish university students (n = 417, 33.57% men and 66.43% women, mean age = 21.62) | Negative correlation with BIQLI-SP* solely in the case of |
| Stigler MH et al. [ | Indian 8th and 10th graders (n = 1818, 60% boys and 40% girls, mean ages = 13.9 years old and 15.8 years old for each grade respectively) | |
| Khan AN et al. (present study) | Pakistani university students (n = 784, 48% males and 52% females, mean age = 20.6) | 75.3% |
*(BIQLI-SP): Spanish version of the Body Image Quality of Life Inventory.