Survey study, 2025
Does poor sleep make PMS symptoms worse?
Yes, in this study women with poorer sleep quality had more severe PMS symptoms, including PMDD, psychological and physical symptoms, and daily dysfunction.
What they did
Researchers surveyed 124 women of reproductive age in three districts of Agam Regency, West Sumatra, Indonesia. They measured sleep quality with the Pittsburgh Sleep Quality Index and PMS symptoms with the Premenstrual Symptoms Screening Tool, then used statistical models to look for links between sleep, BMI, stress, and PMS severity.
What they found
84.67% of women reported poor sleep quality. Poor sleep quality was significantly linked to PMDD severity (p = 0.0054), psychological and physical symptoms (p = 0.0013), and daily dysfunction (p = 0.0007). Higher BMI was linked to more severe PMDD symptoms (p = 0.0290), and stress was linked to more daily functional impairment (p = 0.0234).
What it means for you
Better sleep habits and stress management may help reduce PMS severity, especially in rural settings where this hasn't been studied much. The study only looked at associations at one point in time, so it cannot prove sleep problems cause worse PMS, and it was done in one region with a specific sampling method.
84.67%
of women had poor sleep quality
p = 0.0007
link between poor sleep and daily dysfunction
p = 0.0290
link between higher BMI and PMDD symptoms
About the study
- Original title
- The Impact of Sleep Quality on Premenstrual Syndrome Among Females in Three Districts of Agam Regency, West Sumatra
- Authors
- Rara Mulia Sari, Winati Nurhayu, Iffa Afiqa Khairani et al.
- Journal
- Jurnal Penelitian Pendidikan IPA
- Year
- 2025
- Study design
- Survey study
- Participants
- 124
- What was tested
- None tested; this was an observational survey, not a treatment study.
- Open access
- Yes
- Read the paper
- doi.org/10.29303/jppipa.v11i12.13021
Original abstract
Premenstrual Syndrome (PMS) significantly impacts reproductive-age females, yet the interplay of lifestyle factors in rural contexts remains under-researched. This study aimed to analyze the relationship between sleep quality and PMS severity among females in Agam Regency, West Sumatra. A quantitative survey was conducted with 124 participants selected via purposive sampling. Data were collected using the Pittsburgh Sleep Quality Index (PSQI) and the Premenstrual Symptoms Screening Tool (PSST), then analyzed using Linear Models (LM) in R. Results showed that 84.67% of respondents reported poor sleep quality. LM analysis revealed that poor sleep quality significantly predicted severity across all PMS categories: PMDD (p = 0.0054), psychological/somatic symptoms (p = 0.0013), and daily dysfunction (p = 0.0007). Additionally, higher BMI was linked to increased PMDD symptoms (p = 0.0290), while stress significantly influenced daily functional impairment (p = 0.0234). In conclusion, poor sleep quality is a primary predictor of severe PMS, exacerbated by high BMI and stress. These findings suggest that sleep hygiene and stress management are critical non-pharmacological interventions for improving menstrual health in rural populations.
Reproduced under CC-BY.
Topics
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