Skip to content

A Multidimensional Study of Premenstrual Syndrome and Body Image

A Multidimensional Study of Premenstrual Syndrome, Body Image, Physical Activity and Sleep Quality Among Women in Reproductive Age

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06146673
Enrollment
329
Registered
2023-11-27
Start date
2023-09-01
Completion date
2024-08-31
Last updated
2023-11-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Body Image, Physical Inactivity, Premenstrual Syndrome, Sleep

Keywords

physical activity, premenstrual syndrome, body mass index, 24 hour movement behaviour, sleep quality, body image

Brief summary

The goal of this cross-sectional study is to investigate the influencing factors of body image in women of reproductive age. The main question\[s\] it aims to answer are: * Is there a connection between physical activity, body mass index and body image? * Is there a connection between body image, premenstrual syndrome and sleep quality? Participants will fill out a complex online questionnaire.

Detailed description

During the research, the researchers use a quantitative method, in which the participants fill out the Knowledge of the Female Body Scale, the Global Physical Activity Questionnaire, the Body Appreciation Scale, the Sleep Quality Scale and the Premenstrual Assessment Form Short Form, as well as a general health status questionnaire. and a self-made questionnaire containing socio-demographic questions. In the course of the research, we form a sub-sample, on which we carry out further instrumental tests to monitor body composition and physical activity. The number of participants is approx. There will be 500 women between the ages of 18 and 45, who will be selected through targeted sampling. During the research, the data are processed in the SPSS v28.0 program and the following statistical methods are used: Kolmogorov-Smirnov and Shapiro-Wilk normality tests, Spearman and Pearson correlation analysis, Pearson chi-square test, linear regression analysis. During the research, the safety of the participants and the ethical rules are strictly observed.

Interventions

None listed

Sponsors

University of Pecs
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 45 Years
Healthy volunteers
Yes

Inclusion criteria

* women * between the ages of 18-45 years * regular menstruation

Exclusion criteria

* older than 45 years * pregnancy * amenorrhoea * premature ovarian failure

Design outcomes

Primary

MeasureTime frameDescription
Body Image1 daypoints; Body Appreciation Scale (13 item version, 4 subscales); 1-5 point scale, minimum score: 13 points; maximum score: 65 points, the higher the points the worse the body image

Secondary

MeasureTime frameDescription
Sleep Quality1 daypoints; Sleep Quality Scale (28 items, 6 subscales); 0-3 point scale, minimum score: 0 points; maximum score: 84 points, the higher the points the worse the sleep quality
Premenstrual syndrome1 daypoints; Premenstrual Assessment Form Short Form Questionnaire (10 item version); 1-6 point scale, minimum score: 10 points; maximum score: 60 points, the higher the points the worse the symptoms
Global Physical Activity Questionnaire1 weekMET/min 16 questions Assessing work-, travel-related and recreational physical activity and the hours spent sitting.
Knowledge of he Female Body1 daypoints; Knowledge of the Female Body Scale 26 questions 0-17=low knowledge 18-26=high knowledge
Health Literacy1 daypoints; Brief Health Literacy Screening Tool (4 questions) 1-5 point scale, minimum score: 4 points; maximum score: 20 points, 4-12 points=inadequate 13-16=marginal 17-20=adequate
Body mass index1 daykg/m\^2

Countries

Hungary

Contacts

Primary ContactOlívia Dózsa-Juhász, Bsc
dj.olivia97@gmail.com+36205472290
Backup ContactAlexandra Makai, PhD
alexandra.makai@etk.pte.hu

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 5, 2026