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王莹, 刘慧君, 苟欢迎. 农村大龄未婚男性网络涉性行为影响因素分析[J]. 中国公共卫生, 2019, 35(12): 1661-1665. DOI: 10.11847/zgggws1119834
引用本文: 王莹, 刘慧君, 苟欢迎. 农村大龄未婚男性网络涉性行为影响因素分析[J]. 中国公共卫生, 2019, 35(12): 1661-1665. DOI: 10.11847/zgggws1119834
Ying WANG, Hui-jun LIU, Huan-ying GOU. Determinants of sexual activity with online partner seeking among elder unmarried men in rural China[J]. Chinese Journal of Public Health, 2019, 35(12): 1661-1665. DOI: 10.11847/zgggws1119834
Citation: Ying WANG, Hui-jun LIU, Huan-ying GOU. Determinants of sexual activity with online partner seeking among elder unmarried men in rural China[J]. Chinese Journal of Public Health, 2019, 35(12): 1661-1665. DOI: 10.11847/zgggws1119834

农村大龄未婚男性网络涉性行为影响因素分析

Determinants of sexual activity with online partner seeking among elder unmarried men in rural China

  • 摘要:
      目的  基于计划行为理论对农村大龄未婚男性网络涉性行为及其影响因素进行实证研究。
      方法  于2017年1 — 9月,采用整群抽样与便利抽样相结合的方法,在中、西部20省农村地区以及3个流动人口聚集城市,抽取 ≥ 28岁的农村大龄未婚男性735人,使用计算机辅助调查工具进行调查。
      结果  调查的735人平均年龄为(33.42 ± 4.54)岁;118名(16.05 %)大龄未婚男性与网友发生过性行为。logistic回归分析结果显示,流动(OR = 2.044)、年龄(OR = 0.914)、经常喝醉(OR = 3.560)、接受度(OR = 2.252)、朋友规范(OR = 0.390)是网络涉性行为的影响因素。在留守与流动群体中,影响因素呈现差异性,朋友规范仅显著影响流动男性网络涉性行为的发生(P < 0.001);信任度、月收入仅影响留守大龄未婚男性网络涉性行为的发生(P < 0.1)。
      结论  具有流动经历的农村大龄未婚男性的网络涉性行为发生率较高,计划行为理论对网络涉性行为具有较好的解释和预测力。

     

    Abstract:
      Objective  To conduct an empirical study on the situation and influencing factors of sexual activity with online partner seeking among rural elder unmarried men in China based on the theory of planned behavior.
      Methods  We conducted a computer assisted personal interview (CAPI) among 735 rural unmarried men aged 28 years and above recruited with cluster sampling and convenient sampling in 20 central and western provinces and three municipalities with large migrant population between January and September 2017.
      Results  For all the participants, the mean age was 33.4 ± 4.5 years and 118 (16.05%) reported ever having sex with online partners. The results of logistic regression analysis demonstrated that migration activity (odds ratio OR = 2.044), age (OR = 0.914), being drunk frequently (OR = 3.560), acceptance with online partners (OR = 2.252), and perceived friends′ norms (OR = 0.390) were significantly associated with having sex with online partner among the participants and the influencing factors differed between the left-behind participants and those being on migration. The perceived friends′ norm significantly affected sexual activity with online partner seeking only among the participants being on migration (P < 0.001); while, trust in online partner and monthly income affected sexual activity with online partner seeking significantly only in the left-behind participants (both P < 0.1).
      Conclusion  The prevalence of sexual activity with online partner seeking is relatively high among rural elder unmarried men with migration experience. The theory of planned behavior could well explain and predict the occurrence of sexual activity with online partner seeking.

     

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