Relationships between physical activity, self-acceptance, and body perception in Peruvian university students
Description
The dataset corresponds to the study “Relationships between physical activity, self-acceptance, and body perception in Peruvian university students: an analysis using PLS-SEM structural equations” and includes an Excel file with the questionnaire administered and the results obtained from 317 university students. The data were collected using validated instruments such as the IPAQ (International Physical Activity Questionnaire), the MBSRQ-M (Multidimensional Body Self Relations Questionnaire), and the EBP-M (Psychological Well-Being Scale), and are coded on a Likert scale from 1 to 5. The file contains both the complete questionnaire and the database with the responses organized by dimensions of analysis: self-acceptance, personal growth, subjective importance of physical appearance, and subjective importance of physical condition. The dataset is anonymized and does not contain any personally identifiable information, ensuring the confidentiality of the participants.
Files
Steps to reproduce
The data were obtained through a digital questionnaire administered to 317 university students from Lima Provinces and Callao. The instrument combined three previously validated scales: the International Physical Activity Questionnaire (IPAQ) to assess physical activity during the last seven days, the Multidimensional Body Self Relations Questionnaire (MBSRQ-M) to evaluate body perception and the importance attributed to physical appearance and fitness, and the Psychological Well-Being Scale (EBP-M) based on Ryff’s model to measure dimensions such as self-acceptance and personal growth. All items were measured using a five-point Likert scale, and responses were coded from 1 to 5 in an Excel database. The survey was administered online, ensuring voluntary participation, informed consent, and anonymity of the students. Data were subsequently processed and analyzed using SmartPLS 4 software, applying the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.