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Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Human Immunodeficiency Virus | Research

Development of a risk estimation model for condomless sex among college students in Zhuhai, China: a cross-sectional study

Authors: Ying Huang, Yi Zhou, Yeting Hong, Wencan Dai, Kaihao Lin, Yawei Liu, Yao Yan, Shanzi Huang, Xiaofeng Li, Yi Yang, Hongbo Jiang

Published in: BMC Public Health | Issue 1/2024

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Abstract

Background

Condom use at last intercourse is an effective indicator for human immunodeficiency virus (HIV) prevention. To identify at-risk individuals and improve prevention strategies, this study explored factors associated with condomless sex at last intercourse in the last year and developed a risk estimation model to calculate the individual possibility of condomless sex among college students in Zhuhai, China.

Methods

A cross-sectional study was conducted among 1430 college students who had sex in the last year from six universities in Zhuhai. The least absolute shrinkage and selection operator (LASSO) and logistic regression were performed to explore the predictors of condomless sex. The nomogram was constructed to calculate the individual possibility of condomless sex. Discrimination and calibration of the nomogram were evaluated using the area under the receiver-operator characteristic curve (AUROC) and the calibration curve.

Results

The proportion of students who had condomless sex at last intercourse was 18.2% (260/1430). Students who had experienced more types of intimate partner violence (aOR, 1.58; 95% CI, 1.31 ~ 1.92) and had anal sex (aOR, 1.75; 95% CI, 1.06 ~ 2.84) were more likely to have condomless sex. Students who had heterosexual intercourse (aOR, 0.37; 95% CI, 0.21 ~ 0.70), used condoms at first sex (aOR, 0.20; 95% CI, 0.14 ~ 0.27), had high attitudes towards condom use (aOR, 0.87; 95% CI, 0.80 ~ 0.95) and self-efficacy for condom use (aOR, 0.84; 95% CI, 0.78 ~ 0.90) were less likely to have condomless sex. The nomogram had high accuracy with an AUROC of 0.83 and good discrimination.

Conclusions

Intimate partner violence, anal sex, condom use at first sex, attitude towards condom use, and self-efficacy for condom use were associated with condomless sex among college students. The nomogram was an effective and convenient tool for calculating the individualized possibility of condomless sex among college students. It could help to identify individuals at risk and help universities and colleges to formulate appropriate individualized interventions and sexual health education programs.
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Literature
2.
go back to reference Yi S, Te V, Pengpid S, Peltzer K. Social and behavioural factors associated with risky sexual behaviours among university students in nine ASEAN countries: a multi-country cross-sectional study. SAHARA J. 2018;15:71–9.CrossRefPubMedPubMedCentral Yi S, Te V, Pengpid S, Peltzer K. Social and behavioural factors associated with risky sexual behaviours among university students in nine ASEAN countries: a multi-country cross-sectional study. SAHARA J. 2018;15:71–9.CrossRefPubMedPubMedCentral
3.
go back to reference Cai C, Tang HL, Chen FF, Li DM, Lv F. Characteristics and trends of newly reported HIV infection in young students in China, 2010-2019. Chin J Epidemiol. 2020;41:1455–9. Cai C, Tang HL, Chen FF, Li DM, Lv F. Characteristics and trends of newly reported HIV infection in young students in China, 2010-2019. Chin J Epidemiol. 2020;41:1455–9.
5.
go back to reference Wang H, Long L, Cai H, Wu Y, Xu J, Shu C, et al. Contraception and unintended pregnancy among unmarried Female University students: a cross-sectional study from China. PLoS One. 2015;10:e0130212.CrossRefPubMedPubMedCentral Wang H, Long L, Cai H, Wu Y, Xu J, Shu C, et al. Contraception and unintended pregnancy among unmarried Female University students: a cross-sectional study from China. PLoS One. 2015;10:e0130212.CrossRefPubMedPubMedCentral
6.
go back to reference Fonner VA, Kennedy CE, O’Reilly KR, Sweat MD. Systematic assessment of condom use measurement in evaluation of HIV prevention interventions: need for standardization of measures. AIDS Behav. 2014;18:2374–86.CrossRefPubMedPubMedCentral Fonner VA, Kennedy CE, O’Reilly KR, Sweat MD. Systematic assessment of condom use measurement in evaluation of HIV prevention interventions: need for standardization of measures. AIDS Behav. 2014;18:2374–86.CrossRefPubMedPubMedCentral
7.
go back to reference Espada JP, Morales A, Guillén-Riquelme A, Ballester R, Orgilés M. Predicting condom use in adolescents: a test of three socio-cognitive models using a structural equation modeling approach. BMC Public Health. 2015;16:35.CrossRef Espada JP, Morales A, Guillén-Riquelme A, Ballester R, Orgilés M. Predicting condom use in adolescents: a test of three socio-cognitive models using a structural equation modeling approach. BMC Public Health. 2015;16:35.CrossRef
8.
go back to reference Bergmann JN, Stockman JK. How does intimate partner violence affect condom and oral contraceptive use in the United States? Contraception. 2015;91:438–55.CrossRefPubMedPubMedCentral Bergmann JN, Stockman JK. How does intimate partner violence affect condom and oral contraceptive use in the United States? Contraception. 2015;91:438–55.CrossRefPubMedPubMedCentral
9.
go back to reference Zhao YL, Kim H, Peltzer J. Relationships among substance use, multiple sexual partners, and Condomless sex. J Sch Nurs. 2017;33:154–66.CrossRefPubMed Zhao YL, Kim H, Peltzer J. Relationships among substance use, multiple sexual partners, and Condomless sex. J Sch Nurs. 2017;33:154–66.CrossRefPubMed
10.
11.
go back to reference Zhou Q, Weizi W, Yi M, Shen Y, Goldsamt L, Alkhatib A, et al. HIV knowledge, sexual practices, condom use and its associated factors among international students in one province of China: a cross-sectional study. BMJ Open. 2022;12:e058108.CrossRefPubMedPubMedCentral Zhou Q, Weizi W, Yi M, Shen Y, Goldsamt L, Alkhatib A, et al. HIV knowledge, sexual practices, condom use and its associated factors among international students in one province of China: a cross-sectional study. BMJ Open. 2022;12:e058108.CrossRefPubMedPubMedCentral
12.
go back to reference Shafii T, Stovel K, Davis R, Holmes K. Is condom use habit forming? Condom use at sexual debut and subsequent condom use. Sex Transm Dis. 2004;31:366–72.CrossRefPubMed Shafii T, Stovel K, Davis R, Holmes K. Is condom use habit forming? Condom use at sexual debut and subsequent condom use. Sex Transm Dis. 2004;31:366–72.CrossRefPubMed
13.
go back to reference Shafii T, Stovel K, Holmes K. Association between condom use at sexual debut and subsequent sexual trajectories: a longitudinal study using biomarkers. Am J Public Health. 2007;97:1090–5.CrossRefPubMedPubMedCentral Shafii T, Stovel K, Holmes K. Association between condom use at sexual debut and subsequent sexual trajectories: a longitudinal study using biomarkers. Am J Public Health. 2007;97:1090–5.CrossRefPubMedPubMedCentral
14.
go back to reference Guleria S, Thomsen LT, Munk C, Nygård M, Hansen BT, Elfström KM, et al. Contraceptive use at first intercourse is associated with subsequent sexual behaviors. Contraception. 2019;99:217–21.CrossRefPubMed Guleria S, Thomsen LT, Munk C, Nygård M, Hansen BT, Elfström KM, et al. Contraceptive use at first intercourse is associated with subsequent sexual behaviors. Contraception. 2019;99:217–21.CrossRefPubMed
15.
go back to reference Orchowski LM, Yusufov M, Oesterle D, Bogen KW, Zlotnick C. Intimate partner violence and coerced unprotected sex among young women attending community college. Arch Sex Behav. 2020;49:871–82.CrossRefPubMed Orchowski LM, Yusufov M, Oesterle D, Bogen KW, Zlotnick C. Intimate partner violence and coerced unprotected sex among young women attending community college. Arch Sex Behav. 2020;49:871–82.CrossRefPubMed
16.
go back to reference Baele J, Dusseldorp E, Maes S. Condom use self-efficacy: effect on intended and actual condom use in adolescents. J Adolescent Health. 2001;28:421–31.CrossRef Baele J, Dusseldorp E, Maes S. Condom use self-efficacy: effect on intended and actual condom use in adolescents. J Adolescent Health. 2001;28:421–31.CrossRef
17.
go back to reference Ajayi AI, Ismail KO, Akpan W. Factors associated with consistent condom use: a cross-sectional survey of two Nigerian universities. BMC Public Health. 2019;19:1207.CrossRefPubMedPubMedCentral Ajayi AI, Ismail KO, Akpan W. Factors associated with consistent condom use: a cross-sectional survey of two Nigerian universities. BMC Public Health. 2019;19:1207.CrossRefPubMedPubMedCentral
18.
go back to reference Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008;26:1364–70.CrossRefPubMed Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008;26:1364–70.CrossRefPubMed
19.
go back to reference Lei Z, Li J, Wu D, Xia Y, Wang Q, Si A, et al. Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus–Related Hepatocellular Carcinoma Within the Milan Criteria. JAMA Surg. 2016;151:356.CrossRefPubMed Lei Z, Li J, Wu D, Xia Y, Wang Q, Si A, et al. Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus–Related Hepatocellular Carcinoma Within the Milan Criteria. JAMA Surg. 2016;151:356.CrossRefPubMed
20.
go back to reference Liang W, Liang H, Ou L, Chen B, Chen A, Li C, et al. Development and validation of a clinical risk score to predict the occurrence of critical illness in hospitalized patients with COVID-19. JAMA Intern Med. 2020;180:1081.CrossRefPubMed Liang W, Liang H, Ou L, Chen B, Chen A, Li C, et al. Development and validation of a clinical risk score to predict the occurrence of critical illness in hospitalized patients with COVID-19. JAMA Intern Med. 2020;180:1081.CrossRefPubMed
21.
go back to reference Peng R, Liang Z, Chen K, Li L, Qu S, Zhu X. Nomogram based on lactate dehydrogenase-to-albumin ratio (LAR) and platelet-to-lymphocyte ratio (PLR) for predicting survival in nasopharyngeal carcinoma. J Inflamm Res. 2021;14:4019–33.CrossRefPubMedPubMedCentral Peng R, Liang Z, Chen K, Li L, Qu S, Zhu X. Nomogram based on lactate dehydrogenase-to-albumin ratio (LAR) and platelet-to-lymphocyte ratio (PLR) for predicting survival in nasopharyngeal carcinoma. J Inflamm Res. 2021;14:4019–33.CrossRefPubMedPubMedCentral
22.
go back to reference Bogani G, Lalli L, Sopracordevole F, Ciavattini A, Ghelardi A, Simoncini T, et al. Development of a nomogram predicting the risk of persistence/recurrence of cervical dysplasia. Vaccines (Basel). 2022;10:579.CrossRefPubMedPubMedCentral Bogani G, Lalli L, Sopracordevole F, Ciavattini A, Ghelardi A, Simoncini T, et al. Development of a nomogram predicting the risk of persistence/recurrence of cervical dysplasia. Vaccines (Basel). 2022;10:579.CrossRefPubMedPubMedCentral
23.
go back to reference Ma L, Wang Q, Li X, Shang Y, Zhang N, Wu J, et al. Development of a risk assessment model for cardiac injury in patients newly diagnosed with acute myeloid leukemia based on a multicenter, real-world analysis in China. BMC Cancer. 2024;24:132.CrossRefPubMedPubMedCentral Ma L, Wang Q, Li X, Shang Y, Zhang N, Wu J, et al. Development of a risk assessment model for cardiac injury in patients newly diagnosed with acute myeloid leukemia based on a multicenter, real-world analysis in China. BMC Cancer. 2024;24:132.CrossRefPubMedPubMedCentral
24.
go back to reference Qiao Y. Factors influencing health risk behaviors among college students in Zhuhai City, China. Thesis. Zunyi Medical University; 2017. Qiao Y. Factors influencing health risk behaviors among college students in Zhuhai City, China. Thesis. Zunyi Medical University; 2017.
25.
go back to reference Berhanu A, Mengistu D, Temesgen L, Mulat S, Dirirsa G, Alemu FK, et al. Hand washing practice among public primary school children and associated factors in Harar town, eastern Ethiopia: an institution-based cross-sectional study. Front Public Health. 2022;10:1–11.CrossRef Berhanu A, Mengistu D, Temesgen L, Mulat S, Dirirsa G, Alemu FK, et al. Hand washing practice among public primary school children and associated factors in Harar town, eastern Ethiopia: an institution-based cross-sectional study. Front Public Health. 2022;10:1–11.CrossRef
27.
go back to reference Dunkle KL, Wong FY, Nehl EJ, Lin L, He N, Huang J, et al. Male-on-male intimate partner violence and sexual risk behaviors among money boys and other men who have sex with men in Shanghai. China Sex Transm Dis. 2013;40:362–5.CrossRefPubMed Dunkle KL, Wong FY, Nehl EJ, Lin L, He N, Huang J, et al. Male-on-male intimate partner violence and sexual risk behaviors among money boys and other men who have sex with men in Shanghai. China Sex Transm Dis. 2013;40:362–5.CrossRefPubMed
28.
go back to reference Basen-Engquist K. Validity of scales measuring the psychosocial determinants of HIV/STD-related risk behavior in adolescents. Health Educ Res. 1999;14:25–38.CrossRefPubMed Basen-Engquist K. Validity of scales measuring the psychosocial determinants of HIV/STD-related risk behavior in adolescents. Health Educ Res. 1999;14:25–38.CrossRefPubMed
29.
go back to reference Rammstedt B, John OP. Measuring personality in one minute or less: a 10-item short version of the big five inventory in English and German. J Res Pers. 2007;41:203–12.CrossRef Rammstedt B, John OP. Measuring personality in one minute or less: a 10-item short version of the big five inventory in English and German. J Res Pers. 2007;41:203–12.CrossRef
30.
go back to reference Hoyle RH, Stephenson MT, Palmgreen P, Lorch EP, Donohew RL. Reliability and validity of a brief measure of sensation seeking. Personal Individ Differ. 2002;32:401–14.CrossRef Hoyle RH, Stephenson MT, Palmgreen P, Lorch EP, Donohew RL. Reliability and validity of a brief measure of sensation seeking. Personal Individ Differ. 2002;32:401–14.CrossRef
31.
go back to reference Liao W, Lau JTF, Tsui HY, Gu J, Wang Z. Relationship between sexual compulsivity and sexual risk behaviors among Chinese sexually active males. Arch Sex Behav. 2015;44:791–8.CrossRefPubMed Liao W, Lau JTF, Tsui HY, Gu J, Wang Z. Relationship between sexual compulsivity and sexual risk behaviors among Chinese sexually active males. Arch Sex Behav. 2015;44:791–8.CrossRefPubMed
32.
go back to reference Straus MA. Measuring Intrafamily conflict and violence: the conflict tactics (CT) scales. J Marriage Fam. 1979;41:75–88.CrossRef Straus MA. Measuring Intrafamily conflict and violence: the conflict tactics (CT) scales. J Marriage Fam. 1979;41:75–88.CrossRef
33.
go back to reference Greenwood G, Relf M, Huang B, Pollack L, Canchola J, Catania J. Battering victimization among a probability-based sample of men who have sex with men. Am J Public Health. 2002;92:1964–9.CrossRefPubMedPubMedCentral Greenwood G, Relf M, Huang B, Pollack L, Canchola J, Catania J. Battering victimization among a probability-based sample of men who have sex with men. Am J Public Health. 2002;92:1964–9.CrossRefPubMedPubMedCentral
34.
go back to reference Li G, Mei J, You J, Miao J, Song X, Sun W, et al. Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis. BMC Psychiatry. 2019;19:386.CrossRefPubMedPubMedCentral Li G, Mei J, You J, Miao J, Song X, Sun W, et al. Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis. BMC Psychiatry. 2019;19:386.CrossRefPubMedPubMedCentral
35.
go back to reference Ge L, Li D, Li P, Guo W, Cui Y. Population specific sentinel surveillance for HIV infection, syphilis and HCV infection in China, during 2010-2015. Disease Surveillance. 2017;32:111–7. Ge L, Li D, Li P, Guo W, Cui Y. Population specific sentinel surveillance for HIV infection, syphilis and HCV infection in China, during 2010-2015. Disease Surveillance. 2017;32:111–7.
36.
go back to reference Sun X, Liu X, Shi Y, Wang Y, Wang P, Chang C. Determinants of risky sexual behavior and condom use among college students in China. AIDS Care. 2013;25:775–83.CrossRefPubMed Sun X, Liu X, Shi Y, Wang Y, Wang P, Chang C. Determinants of risky sexual behavior and condom use among college students in China. AIDS Care. 2013;25:775–83.CrossRefPubMed
37.
go back to reference Duby Z, Colvin C. Conceptualizations of heterosexual anal sex and HIV risk in five east African communities. J Sex Res. 2014;51:863–73.CrossRefPubMed Duby Z, Colvin C. Conceptualizations of heterosexual anal sex and HIV risk in five east African communities. J Sex Res. 2014;51:863–73.CrossRefPubMed
38.
go back to reference Lantos H, Bajos N, Moreau C. Determinants and correlates of preventive behaviors at first sex with a first partner and second partner: analysis of the FECOND study. J Adolesc Health. 2016;58:644–51.CrossRefPubMedPubMedCentral Lantos H, Bajos N, Moreau C. Determinants and correlates of preventive behaviors at first sex with a first partner and second partner: analysis of the FECOND study. J Adolesc Health. 2016;58:644–51.CrossRefPubMedPubMedCentral
39.
go back to reference Manlove J, Welti K, Karpilow Q. Relationship violence typologies and condom use in young adult dating relationships. Perspect Sex Repro H. 2019;51:109–17.CrossRef Manlove J, Welti K, Karpilow Q. Relationship violence typologies and condom use in young adult dating relationships. Perspect Sex Repro H. 2019;51:109–17.CrossRef
40.
go back to reference McEachan RRC, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis. Health Psychol Rev. 2011;5:97–144.CrossRef McEachan RRC, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis. Health Psychol Rev. 2011;5:97–144.CrossRef
41.
go back to reference Conner M. Predicting health behaviour: research and practice with social cognition models. Maidenhead: Open Univ Press; 2009. Conner M. Predicting health behaviour: research and practice with social cognition models. Maidenhead: Open Univ Press; 2009.
42.
go back to reference Tan X, Zhang Y, Shao H. Healthy China 2030, a breakthrough for improving health. Glob Health Promot. 2019;26:96–9.CrossRefPubMed Tan X, Zhang Y, Shao H. Healthy China 2030, a breakthrough for improving health. Glob Health Promot. 2019;26:96–9.CrossRefPubMed
Metadata
Title
Development of a risk estimation model for condomless sex among college students in Zhuhai, China: a cross-sectional study
Authors
Ying Huang
Yi Zhou
Yeting Hong
Wencan Dai
Kaihao Lin
Yawei Liu
Yao Yan
Shanzi Huang
Xiaofeng Li
Yi Yang
Hongbo Jiang
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-18183-9

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