| Title |
Predictors of Intention to Use Condoms Among Chinese College Students
|
|---|---|
| Published in |
Journal of Community Health, January 2014
|
| DOI | 10.1007/s10900-013-9816-4 |
| Pubmed ID | |
| Authors |
Ruiling Guo, Willis J. McAleese, Karen M. Appleby, Jianhui Guo, Wei Zhang, Yi Huang, Teri Peterson |
| Abstract |
China is experiencing one of the fastest growing human immunodeficiency virus (HIV) epidemics in the world. Condom use is consistently low among Chinese college students. The purpose of this study was to identify the predictors that determine the intention to use condoms among Chinese college students applying the theory of planned behavior (TPB). A non-probability convenience sample of 433 participants was drawn from three universities in Central, Eastern, and Southwestern China, respectively. An anonymous written questionnaire was self-administered. Data were collected and analyzed descriptively and statistically using Predictive Analytical Software 19.0. Multiple linear regression was performed to identify the predictors among 402 participants with non-missing data. Eighteen percent (78/433) of the participants reported being sexually active in the past 6 months. The percentage of times these individuals reported using condoms during intercourse was 38.19 %. Intention to use condoms was statistically significantly (R(2) = 50.4 %) predicted by attitudes (β = 0.213), subjective norms (β = 0.259), and perceived behavior control (PBC) (β = 0.332). All predictors were statistically significant at the 0.001 level (p < 0.001). PBC was the strongest predictor of intention to use condoms. The study findings indicated that the TPB could be used as a framework to determine the predictors of intention to use condoms among the Chinese college students. It is recommended that the HIV education programs should increase the intention to use condoms through promoting positive attitudes, subjective norms and PBC of condom use in Chinese college students. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 24% |
| Researcher | 7 | 13% |
| Student > Bachelor | 4 | 7% |
| Professor > Associate Professor | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 15 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 19% |
| Social Sciences | 7 | 13% |
| Nursing and Health Professions | 7 | 13% |
| Psychology | 5 | 9% |
| Engineering | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 July 2016.
All research outputs
#2,693,452
of 22,739,983 outputs
Outputs from Journal of Community Health
#169
of 1,212 outputs
Outputs of similar age
#32,898
of 304,711 outputs
Outputs of similar age from Journal of Community Health
#5
of 18 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 304,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.