Latent Heterogeneity of Online Sexual Experiences and Associations With Sexual Risk Behaviors and Behavioral Health Outcomes in Chinese Young Adults: Cross-Sectional Study.

Ted C T Fong, Derek Yee Tak Cheung, Edmond Pui Hang Choi, Daniel Y T Fong, Rainbow T H Ho, Patrick Ip, Man Chun Kung, Mona Wai Cheung Lam, Antoinette Marie Lee, William Chi Wai Wong, Tai Hing Lam, Paul S F Yip
Author Information
  1. Ted C T Fong: Centre on Behavioral Health, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  2. Derek Yee Tak Cheung: School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  3. Edmond Pui Hang Choi: School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  4. Daniel Y T Fong: School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  5. Rainbow T H Ho: Centre on Behavioral Health, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  6. Patrick Ip: Department of Paediatrics & Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  7. Man Chun Kung: Family Planning Association of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  8. Mona Wai Cheung Lam: Family Planning Association of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  9. Antoinette Marie Lee: Department of Psychology, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  10. William Chi Wai Wong: Department of Family Medicine & Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  11. Tai Hing Lam: School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID
  12. Paul S F Yip: Department of Social Work & Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, China (Hong Kong). ORCID

Abstract

BACKGROUND: Online sexual experiences (OSEs) are becoming increasingly common in young adults, but existing papers have reported only on specific types of OSEs and have not shown the heterogeneous nature of the repertoire of OSEs. The use patterns of OSEs remain unclear, and the relationships of OSEs with sexual risk behaviors and behavioral health outcomes have not been evaluated.
OBJECTIVE: This study aimed to examine the latent heterogeneity of OSEs in young adults and the associations with sexual risk behaviors and behavioral health outcomes.
METHODS: The 2021 Youth Sexuality Study of the Hong Kong Family Planning Association phone interviewed a random sample of 1205 young adults in Hong Kong in 2022 (male sex: 613/1205, 50.9%; mean age 23.0 years, SD 2.86 years) on lifetime OSEs, demographic and family characteristics, Patient Health Questionnaire-4 (PHQ-4) scores, sex-related factors (sexual orientation, sex knowledge, and sexual risk behaviors), and behavioral health outcomes (sexually transmitted infections [STIs], drug use, and suicidal ideation) in the past year. Sample heterogeneity of OSEs was analyzed via latent class analysis with substantive checking of the class profiles. Structural equation modeling was used to examine the direct and indirect associations between the OSE class and behavioral health outcomes via sexual risk behaviors and PHQ-4 scores.
RESULTS: The data supported 3 latent classes of OSEs with measurement invariance by sex. In this study, 33.1% (398/1205), 56.0% (675/1205), and 10.9% (132/1205) of the sample were in the abstinent class (minimal OSEs), normative class (occasional OSEs), and active class (substantive OSEs), respectively. Male participants showed a lower prevalence of the abstinent class (131/613, 21.4% versus 263/592, 44.4%) and a higher prevalence of the active class (104/613, 17.0% versus 28/592, 4.7%) than female participants. The normative class showed significantly higher sex knowledge than the other 2 classes. The active class was associated with male sex, nonheterosexual status, higher sex desire and PHQ-4 scores, and more sexual risk behaviors than the other 2 classes. Compared with the nonactive (abstinent and normative) classes, the active class was indirectly associated with higher rates of STIs (absolute difference in percentage points [Δ]=4.8%; P=.03) and drug use (Δ=7.6%; P=.001) via sexual risk behaviors, and with higher rates of suicidal ideation (Δ=2.5%; P=.007) via PHQ-4 scores.
CONCLUSIONS: This study provided the first results on the 3 (abstinent, normative, and active) latent classes of OSEs with distinct profiles in OSEs, demographic and family characteristics, PHQ-4 scores, sex-related factors, and behavioral health outcomes. The active class showed indirect associations with higher rates of STIs and drug use via sexual risk behaviors and higher rates of suicidal ideation via PHQ-4 scores than the other 2 classes. These results have implications for the formulation and evaluation of targeted interventions to help young adults.

Keywords

References

  1. Psychol Methods. 2001 Dec;6(4):330-51 [PMID: 11778676]
  2. J Sex Med. 2020 Apr;17(4):623-633 [PMID: 32081698]
  3. JMIR Public Health Surveill. 2020 Jan 30;6(1):e14803 [PMID: 32031963]
  4. Sex Res Social Policy. 2022;19(4):1867-1878 [PMID: 35194473]
  5. Child Dev Perspect. 2016 Mar;10(1):59-64 [PMID: 31844424]
  6. J Med Internet Res. 2023 Feb 28;25:e43116 [PMID: 36853749]
  7. JMIR Public Health Surveill. 2022 May 2;8(5):e31847 [PMID: 35499864]
  8. Int J Sex Health. 2023 May 11;35(2):230-247 [PMID: 38601009]
  9. J Adolesc Health. 2023 Apr;72(4):607-615 [PMID: 36604206]
  10. JMIR Public Health Surveill. 2019 May 16;5(2):e10695 [PMID: 31099335]
  11. Am J Public Health. 2023 Jan;113(1):22-26 [PMID: 36516393]
  12. Arch Sex Behav. 2022 Feb;51(2):1351-1361 [PMID: 34750778]
  13. JMIR Public Health Surveill. 2022 Mar 29;8(3):e30676 [PMID: 35348470]
  14. Arch Sex Behav. 2022 Apr;51(3):1521-1530 [PMID: 35022912]
  15. J Youth Adolesc. 2019 May;48(5):837-849 [PMID: 30778831]
  16. BMJ Sex Reprod Health. 2020 Jul;46(3):184-191 [PMID: 31754063]
  17. Front Public Health. 2023 Mar 30;11:1034155 [PMID: 37064680]
  18. JMIR Public Health Surveill. 2021 Sep 2;7(9):e25360 [PMID: 34473066]
  19. JMIR Mhealth Uhealth. 2020 Mar 17;8(3):e16251 [PMID: 32181747]
  20. J Sex Res. 2021 Oct;58(8):976-985 [PMID: 33780311]
  21. Lancet. 2016 Jun 11;387(10036):2423-78 [PMID: 27174304]
  22. J Youth Adolesc. 2015 Jan;44(1):1-17 [PMID: 24682958]
  23. J Res Adolesc. 2018 Sep;28(3):731-747 [PMID: 29152811]
  24. Arch Sex Behav. 2020 May;49(4):1103-1119 [PMID: 32072397]
  25. J Adolesc Health. 2019 Jun;64(6S):S52-S58 [PMID: 31122550]
  26. Psychol Sex Orientat Gend Divers. 2024 Jun;11(2):294-304 [PMID: 39220295]
  27. J Psychiatr Res. 2022 Aug;152:269-277 [PMID: 35759979]
  28. J Adolesc. 2021 Apr;88:97-106 [PMID: 33684725]
  29. Front Psychol. 2019 Aug 21;10:1828 [PMID: 31496968]
  30. Front Psychiatry. 2023 Mar 09;14:1138755 [PMID: 36970263]
  31. J Sex Res. 2016 May-Jun;53(4-5):509-31 [PMID: 27105446]
  32. BMC Public Health. 2013 Jul 29;13:691 [PMID: 23895326]
  33. J Adolesc Health. 2021 Jan;68(1):13-27 [PMID: 33059958]
  34. Sex Health. 2016 Jun;13(3):281-8 [PMID: 27098240]
  35. Arch Sex Behav. 2023 May;52(4):1575-1591 [PMID: 36542273]
  36. BMC Public Health. 2021 Jan 22;21(1):197 [PMID: 33482802]
  37. Arch Sex Behav. 2020 Nov;49(8):2765-2778 [PMID: 32761282]
  38. J Acquir Immune Defic Syndr. 2023 Apr 1;92(4):300-309 [PMID: 36515898]
  39. BMJ Sex Reprod Health. 2022 Jan;48(e1):e13-e21 [PMID: 33504512]

MeSH Term

Adolescent
Male
Humans
Female
Young Adult
Adult
Cross-Sectional Studies
Sexual Behavior
Sexually Transmitted Diseases
Risk-Taking
Substance-Related Disorders
Outcome Assessment, Health Care
China

Word Cloud

Created with Highcharts 10.0.0OSEsclasssexualriskbehaviorshigherhealthPHQ-4scoressexviaclassesactivebehavioraloutcomeslatentyoungadultsuse2abstinentnormativeratesstudyassociationsHongKongknowledgedrugsuicidalideationshowedP=OnlineexamineheterogeneityStudysamplemale9%yearsdemographicfamilycharacteristicsHealthsex-relatedfactorssexuallytransmittedinfectionsanalysissubstantiveprofilesequationmodelingindirect30%participantsprevalence4%versusassociatedSTIsresultsSexualBACKGROUND:experiencesbecomingincreasinglycommonexistingpapersreportedspecifictypesshownheterogeneousnaturerepertoirepatternsremainunclearrelationshipsevaluatedOBJECTIVE:aimedMETHODS:2021YouthSexualityFamilyPlanningAssociationphoneinterviewedrandom12052022sex:613/120550meanage230SD86lifetimePatientQuestionnaire-4orientation[STIs]pastyearSampleanalyzedcheckingStructuraluseddirectOSERESULTS:datasupportedmeasurementinvariance331%398/120556675/120510132/1205minimaloccasionalrespectivelyMalelower131/61321263/59244104/6131728/59247%femalesignificantlynonheterosexualstatusdesireComparednonactiveindirectlyabsolutedifferencepercentagepoints[Δ]=48%03Δ=76%001Δ=25%007CONCLUSIONS:providedfirstdistinctimplicationsformulationevaluationtargetedinterventionshelpLatentHeterogeneityExperiencesAssociationsRiskBehaviorsBehavioralOutcomesChineseYoungAdults:Cross-Sectionalmediationmentalstructuralyouthsexuality

Similar Articles

Cited By