Literature DB >> 33672899

"Who Are at Higher Sexual Risk?" Latent Class Analysis of Behavioral Intentions among Spanish Adolescents.

Alexandra Morales1, Samuel Tomczyk2, Mireia Orgilés1, José Pedro Espada1.   

Abstract

Consistent condom use tends to be limited in youth, which makes this group especially vulnerable for sexually transmitted infections (STIs) and unplanned pregnancies. It is known that sexual risk may vary as a function of behavioral intentions (e.g., condom use intention or having sex under the influence of alcohol), but no studies have yet characterized the sexual risk profiles considering behavioral intentions. This study utilizes latent class analysis (LCA) to explore the subtyping of behavioral intentions related to sexual risk in a community-based sample of adolescents aged 14 to 16 years from Spain. Multinomial logistic regression was used to assess the association between class membership and participants' sociodemographic variables (sex, age, educational level, socioeconomic status, and family situation), and behavioral variables (sexual experience and percentage of condom use). Among the 1557 participants, four latent classes of risk were identified: "Condom + drugs", "abstinent", "condom + no drugs", and "no condom + drugs". Differences in adolescents' sex, age, educational level, sexual experience, and condom use across latent classes were found. Findings highlight opportunities for psychologists, educators, and health-care providers to promote condom use in adolescents with differing sexual risk profiles. Increased understanding of behavioral intentions among adolescents may help to reduce sexual risk behaviors in this group.

Entities:  

Keywords:  HIV; latent class models; reproductive health; sexual health; teenagers

Mesh:

Year:  2021        PMID: 33672899      PMCID: PMC7917890          DOI: 10.3390/ijerph18041855

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  26 in total

1.  Theories of reasoned action and planned behavior as models of condom use: a meta-analysis.

Authors:  D Albarracín; B T Johnson; M Fishbein; P A Muellerleile
Journal:  Psychol Bull       Date:  2001-01       Impact factor: 17.737

Review 2.  Barriers to condom use.

Authors:  N N Sarkar
Journal:  Eur J Contracept Reprod Health Care       Date:  2008-06       Impact factor: 1.848

3.  Sexual risk behaviors increasing among adolescents over time: comparison of two cohorts in Spain.

Authors:  José P Espada; Silvia Escribano; Mireia Orgilés; Alexandra Morales; Alejandro Guillén-Riquelme
Journal:  AIDS Care       Date:  2015-01-14

4.  Latent Class Analysis: An example for reporting results.

Authors:  James B Schreiber
Journal:  Res Social Adm Pharm       Date:  2016-11-30

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Authors:  Stephanie T Lanza
Journal:  Child Dev Perspect       Date:  2016-01-27

Review 6.  Alcohol use and risky sexual behavior among college students and youth: evaluating the evidence.

Authors:  M Lynne Cooper
Journal:  J Stud Alcohol Suppl       Date:  2002-03

7.  Latent Classes of Sexual Risk Among Black Men Who Have Sex with Men and Women.

Authors:  Derek T Dangerfield; Nina T Harawa; Laramie R Smith; William L Jeffries; Lourdes Baezconde-Garbanati; Ricky Bluthenthal
Journal:  Arch Sex Behav       Date:  2018-03-14

8.  Drugs and alcohol consumption and sexual behaviours in night recreational settings in Portugal.

Authors:  Lurdes Lomba; João Apóstolo; Fernando Mendes
Journal:  Adicciones       Date:  2009       Impact factor: 2.979

9.  Sexual risk among Colombian adolescents: knowledge, attitudes, normative beliefs, perceived control, intention, and sexual behavior.

Authors:  Alexandra Morales; Pablo Vallejo-Medina; Daniella Abello-Luque; Alejandro Saavedra-Roa; Paola García-Roncallo; Mayra Gomez-Lugo; Eileen García-Montaño; Laurent Marchal-Bertrand; Janivys Niebles-Charris; Diana Pérez-Pedraza; José Pedro Espada
Journal:  BMC Public Health       Date:  2018-12-17       Impact factor: 3.295

10.  Predicting condom use in adolescents: a test of three socio-cognitive models using a structural equation modeling approach.

Authors:  José P Espada; Alexandra Morales; Alejandro Guillén-Riquelme; Rafael Ballester; Mireia Orgilés
Journal:  BMC Public Health       Date:  2016-01-14       Impact factor: 3.295

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