Cargando…

Investigating influencing factors on premenstrual syndrome (PMS) among female college students

BACKGROUND: Premenstrual syndrome (PMS) affects women’s physical and mental health. Depression, stress, sleep disturbance, and eating attitude problems have been known to influence PMS. Furthermore, restrictions of daily life due to the COVID-19 pandemic have led to changes in sleep patterns and eat...

Descripción completa

Detalles Bibliográficos
Autores principales: Yi, Su Jeong, Kim, Miok, Park, Ina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638779/
https://www.ncbi.nlm.nih.gov/pubmed/37950208
http://dx.doi.org/10.1186/s12905-023-02752-y
_version_ 1785133669660229632
author Yi, Su Jeong
Kim, Miok
Park, Ina
author_facet Yi, Su Jeong
Kim, Miok
Park, Ina
author_sort Yi, Su Jeong
collection PubMed
description BACKGROUND: Premenstrual syndrome (PMS) affects women’s physical and mental health. Depression, stress, sleep disturbance, and eating attitude problems have been known to influence PMS. Furthermore, restrictions of daily life due to the COVID-19 pandemic have led to changes in sleep patterns and eating attitudes. Thus, it is necessary to closely examine how these factors affect PMS. This study aimed to examine the levels of PMS, stress, depression, sleep disturbance, and eating attitude problems among female college students who experience dysmenorrhea and determine the factors associated with PMS. METHODS: A cross-sectional online survey design was conducted using a convenience sample of 143 female college students in C City, South Korea. Data were collected from September 1 to 19, 2021 in South Korea using an online self-administered survey. Differences in participants’ level of PMS according to physical health variables (e.g., smoking, water intake, menstrual pain intensity) and psychological issues (i.e., stress, depression, sleep disturbances, and eating attitude problems) were assessed with independent sample t-tests and one-way ANOVAs. Correlational analyses between these variables were also conducted. Additionally, multiple regression was performed to identify the factors influencing PMS. RESULTS: PMS severity was between normal (27.3%) and premenstrual dysphoric disorder (PMDD) (72.7%). PMS was associated positively with depression (r = .284, p = 001), stress (r = .274, p = .001), sleep disturbance (r = .440, p < .001), and eating attitude problems (r = .266, p = .001). Additionally, menstrual pain intensity (β = 0.204), sleep disturbances (β = 0.375), and eating attitude problems (β = 0.202) were found to influence PMS. The regression model was significant (F = 16.553, p < .001) with an explanatory power of 24.7%. CONCLUSIONS: Considering the influencing factors of PMS identified in this study, interventions for participants experiencing PMS should be made. We propose that further study should be conducted to examine whether the severity of PMS changes according to menstrual pain, the pattern and degree of its change, and the paths through which sleep quality and eating attitude problems affect PMS.
format Online
Article
Text
id pubmed-10638779
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-106387792023-11-11 Investigating influencing factors on premenstrual syndrome (PMS) among female college students Yi, Su Jeong Kim, Miok Park, Ina BMC Womens Health Research BACKGROUND: Premenstrual syndrome (PMS) affects women’s physical and mental health. Depression, stress, sleep disturbance, and eating attitude problems have been known to influence PMS. Furthermore, restrictions of daily life due to the COVID-19 pandemic have led to changes in sleep patterns and eating attitudes. Thus, it is necessary to closely examine how these factors affect PMS. This study aimed to examine the levels of PMS, stress, depression, sleep disturbance, and eating attitude problems among female college students who experience dysmenorrhea and determine the factors associated with PMS. METHODS: A cross-sectional online survey design was conducted using a convenience sample of 143 female college students in C City, South Korea. Data were collected from September 1 to 19, 2021 in South Korea using an online self-administered survey. Differences in participants’ level of PMS according to physical health variables (e.g., smoking, water intake, menstrual pain intensity) and psychological issues (i.e., stress, depression, sleep disturbances, and eating attitude problems) were assessed with independent sample t-tests and one-way ANOVAs. Correlational analyses between these variables were also conducted. Additionally, multiple regression was performed to identify the factors influencing PMS. RESULTS: PMS severity was between normal (27.3%) and premenstrual dysphoric disorder (PMDD) (72.7%). PMS was associated positively with depression (r = .284, p = 001), stress (r = .274, p = .001), sleep disturbance (r = .440, p < .001), and eating attitude problems (r = .266, p = .001). Additionally, menstrual pain intensity (β = 0.204), sleep disturbances (β = 0.375), and eating attitude problems (β = 0.202) were found to influence PMS. The regression model was significant (F = 16.553, p < .001) with an explanatory power of 24.7%. CONCLUSIONS: Considering the influencing factors of PMS identified in this study, interventions for participants experiencing PMS should be made. We propose that further study should be conducted to examine whether the severity of PMS changes according to menstrual pain, the pattern and degree of its change, and the paths through which sleep quality and eating attitude problems affect PMS. BioMed Central 2023-11-10 /pmc/articles/PMC10638779/ /pubmed/37950208 http://dx.doi.org/10.1186/s12905-023-02752-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yi, Su Jeong
Kim, Miok
Park, Ina
Investigating influencing factors on premenstrual syndrome (PMS) among female college students
title Investigating influencing factors on premenstrual syndrome (PMS) among female college students
title_full Investigating influencing factors on premenstrual syndrome (PMS) among female college students
title_fullStr Investigating influencing factors on premenstrual syndrome (PMS) among female college students
title_full_unstemmed Investigating influencing factors on premenstrual syndrome (PMS) among female college students
title_short Investigating influencing factors on premenstrual syndrome (PMS) among female college students
title_sort investigating influencing factors on premenstrual syndrome (pms) among female college students
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638779/
https://www.ncbi.nlm.nih.gov/pubmed/37950208
http://dx.doi.org/10.1186/s12905-023-02752-y
work_keys_str_mv AT yisujeong investigatinginfluencingfactorsonpremenstrualsyndromepmsamongfemalecollegestudents
AT kimmiok investigatinginfluencingfactorsonpremenstrualsyndromepmsamongfemalecollegestudents
AT parkina investigatinginfluencingfactorsonpremenstrualsyndromepmsamongfemalecollegestudents