Predictors of reducing sexual and reproductive risk behaviors based on the information-motivation-behavioral skills (IMB) model among unmarried rural-to-urban female migrants in Shanghai, China

PLoS One. 2013 Apr 30;8(4):e62787. doi: 10.1371/journal.pone.0062787. Print 2013.

Abstract

Background: Due to the increase of premarital sex and the lack of reproductive health services, unmarried rural-to-urban female migrants experience more risks of sex and reproductive health (SRH). This study was designed to describe SRH related knowledge, attitude and risk behaviors among unmarried rural-to-urban female migrants and examine the predictors of reducing sexual and reproductive risk behaviors based on information-motivation-behavioral skills (IMB) model and to describe the relationships between the constructs.

Methods: We conducted a cross-sectional study to assess SRH related information, motivation, behavioral skills and preventive behaviors among unmarried rural-to-urban female migrants in Shanghai, one of the largest importers of migrant laborers in China. Structural equation modeling (SEM) was used to assess the IMB model.

Results: A total of 944 subjects completed their questionnaires. The mean age was 21.2 years old (SD = 2.3; range 16 to 28). Over one-fourth of participants reported having had premarital sex (N = 261, 27.6%) and among whom 15.3% reported having had the experience of unintended pregnancy, 14.6% with the experience of abortion. The final IMB model provided acceptable fit to the data (CFI = 0.99, RMSEA = 0.034). Reducing sexual and reproductive risk behaviors was significantly predicted by SRH related information (β = 0.681, P<0.001) and behavioral skills(β = 0.239, P<0.001). Motivation (β = 0.479, P<0.001) was the significant indirect predictor of reducing sexual and reproductive risk behaviors mediated through behavioral skills.

Conclusions: The results highlight the importance and necessity of conducting reproductive health promotion among unmarried rural-to-urban female migrants in China. The IMB model could be used to predict reducing sexual and reproductive risk behaviors and it suggests future interventions should focus on improving SRH related information and behavioral skills.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • China
  • Cross-Sectional Studies
  • Female
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Models, Theoretical*
  • Reproductive Behavior*
  • Risk-Taking*
  • Rural Population
  • Sexual Behavior*
  • Single Person*
  • Transients and Migrants*
  • Urban Population
  • Young Adult

Grants and funding

This study was funded by the National Natural Science Funds (71273174) and also supported by the New Hundred Program on Outstanding Teacher of the School of Medicine of Shanghai Jiaotong University, the Young Teachers Overseas Training Program from Shanghai Municipal Education Commission, Key Discipline Construction of Health Economics from Shanghai Health Bureau. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.