Relationship between physical activity status and problematic pornography use

Description

Thought for 13s The dataset contains responses from 439 adults who completed a survey with demographic variables (e.g., sex, age, education), physical activity/sport variables (e.g., sport history, competition status, weekly exercise frequency, usual exercise duration, and sport-group classification), and pornography-use variables, including the 18 items of the Problematic Pornography Consumption Scale (PPCS) and a total (i.e., rated) PPCS score. Among these participants, PPCS scores are available for the subset who reported pornography use, so each row represents one participant and the columns capture their background characteristics, physical activity profile, and, where applicable, their problematic pornography consumption data.

Steps to reproduce

To reproduce the study test over 430 participants and record in an Excel spreadsheet for the full sample descriptive data, using the variables Sex1Female2Male, Age, Education, Sports History participation (years or months), Competition Status, Weekly Exercise Frequency, Usual Exercise Duration, Using or not Porn, and Physical Activity Status (PA) as yes or no (we recorded inversely). Then restrict the outcome analyses to participants with valid PPCS TOTAL scores, because the 18 PPCS items and total score are only available for those who reported pornography use. Next, code the key variables as they were used in the manuscript: PA status as the physical activity/sport group factor, Sex 1 Female 2 Male as sex, age and optionally education as covariates, and PPCS_TOTAL as the dependent variable. Reproduce the results by computing descriptives by sport group and sex, running the bivariate correlations, and then fitting a univariate ANCOVA with PPCS_TOTAL as the outcome, sport group and sex as fixed factors, their interaction included, and age (and education, if using the earlier model) entered as covariates, followed by Levene’s test and the descriptive cutoff comparison using PPCS ≥ 76.

Institutions

• Széchenyi István University

  Győr-Moson-Sopron, Győr
• Eötvös Loránd University

  Budapest, Budapest

Categories

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