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Dataset Information

Examining changes in sexual lifestyles in Britain between 1990-2010: a latent class analysis approach.


ABSTRACT:

Background

Understanding sexual lifestyles and how they change over time is important for determining the likelihood of sexual health outcomes. Standard descriptive and regression methods are limited in their ability to capture multidimensional concepts such as sexual lifestyles. Latent Class Analysis (LCA) is a mixture modelling method that generates a categorical latent variable to derive homogenous groups from a heterogeneous population. Our study investigates (1) the potential of LCA to assess change over time in sexual lifestyles and (2) how quantifying this change using LCA compares to previous findings using standard approaches.

Methods

Probability-sampled data from three rounds of the National Survey of Sexual Attitudes and Lifestyle (Natsal) were used, restricted to

SUBMITTER: Muschialli L 

PROVIDER: S-EPMC10837868 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature