Sexual identity and sexual well-being in female heterosexual university students. 2010

Amy Muise, and Michéle Preyde, and Scott B Maitland, and Robin R Milhausen
Department of Psychology, University of Guelph, Guelph, ON N1G 2W1, Canada. amuise@uoguelph.ca

Sexual identity has generally been studied with a focus on sexual orientation and has not incorporated a general identity framework. Low levels of identity exploration and commitment have been shown to predict poor well-being in adolescents, but the relationship between sexual identity and sexual well-being has not been examined. The current cross-sectional survey was administered to 293 heterosexual female undergraduate students from a mid-sized university in Ontario, Canada. Participants completed the Measure of Sexual Identity Exploration and Commitment (Worthington, Navarro, Savoy, & Hampton, 2008), as well as several measures to assess sexual well-being. These included the Sexuality Scale (Snell & Papini, 1989), the Sexual Awareness Questionnaire (Snell, Fisher, & Miller, 1991), the Body Esteem Scale for Adolescents and Adults (Mendelson, Mendelson, & White, 2001; Mendelson, White, & Mendelson, 1997), and four individual items assessing sexual satisfaction (Laumann et al., 2006). Confirmatory factor analysis was used to test the measurement models of sexual identity and sexual well-being, and structural equation modeling was used to examine the relationship between sexual identity and sexual well-being. Results indicated that higher levels of sexual identity exploration and commitment predicted sexual well-being. However, other aspects of sexual identity, such as synthesis and sexual orientation identity, were not predictive of sexual well-being. The implications of using an identity framework for measuring sexual identity are discussed.

UI MeSH Term Description Entries
D008960 Models, Psychological Theoretical representations that simulate psychological processes and/or social processes. These include the use of mathematical equations, computers, and other electronic equipment. Model, Mental,Model, Psychological,Models, Mental,Models, Psychologic,Psychological Models,Mental Model,Mental Models,Model, Psychologic,Psychologic Model,Psychologic Models,Psychological Model
D009864 Ontario A province of Canada lying between the provinces of Manitoba and Quebec. Its capital is Toronto. It takes its name from Lake Ontario which is said to represent the Iroquois oniatariio, beautiful lake. (From Webster's New Geographical Dictionary, 1988, p892 & Room, Brewer's Dictionary of Names, 1992, p391)
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D001828 Body Image Individuals' concept of their own bodies. Body Identity,Body Representation,Body Schema,Body Images,Body Representations,Body Schemas,Identity, Body,Image, Body,Representation, Body,Schema, Body
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005163 Factor Analysis, Statistical A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires. Analysis, Factor,Analysis, Statistical Factor,Factor Analysis,Statistical Factor Analysis,Analyses, Factor,Analyses, Statistical Factor,Factor Analyses,Factor Analyses, Statistical,Statistical Factor Analyses
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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