Skip to content

Survey study, 2026

Does smartphone use affect PMS symptoms through sleep?

Smartphone use is linked to worse sleep and more PMS symptoms. Poor sleep partly explains the connection between smartphone use and PMS.

Early or limited evidence 338 Turkish women aged 17-33 (mean age 21.12 years)

What they did

Cross-sectional study of 338 Turkish women aged 17-33. They filled out questionnaires about smartphone addiction, sleep quality, and PMS symptoms. Researchers used statistical models to see how these factors connected.

What they found

Smartphone addiction predicted both poor sleep and worse PMS symptoms. Poor sleep predicted worse PMS symptoms. Poor sleep partially explained the link between smartphone addiction and PMS.

What it means for you

Heavy smartphone use may worsen PMS symptoms partly by disrupting sleep. This is a cross-sectional study so we cannot know if smartphone use actually causes these problems or if women with worse PMS symptoms use smartphones more. The study was done only in Turkey.

338

women studied

17-33

age range

21.12

mean age in years

About the study

Original title
The mediating role of sleep quality in the relationship between nomophobia and premenstrual syndrome in women
Authors
Cansu Ağralı, Ahmet Kara
Journal
Current Psychology
Year
2026
Study design
Survey study
Participants
338
Open access
Yes
Original abstract

This study aims to test the mediating role of sleep quality in the relationship between nomophobia and premenstrual syndrome in women. 338 Turkish women [Age Range = 17–33, Age Mean = 21.12, Age Sd = 2.41] voluntarily participated in the study. Data were collected using the Nomophobia Questionnaire (NMP-Q), the Pittsburgh Sleep Quality Index (PSQI), and the Premenstrual Syndrome Scale (PMSS), with measurement properties reported in accordance with APA 7 guidelines. A two-step structural equation modeling procedure was employed for the analyses, and the significance of the indirect effect was assessed through a bootstrap approach. The results revealed that nomophobia significantly predicted both sleep quality and premenstrual syndrome, and that sleep quality significantly predicted premenstrual syndrome. Moreover, the bootstrapping results indicated that sleep quality had a statistically significant mediating effect on the relationship between nomophobia and premenstrual syndrome. The results are discussed within the existing literature, and implications and recommendations for future research and practice are provided. In conclusion, these findings suggest that excessive smartphone use may exacerbate premenstrual symptoms by disrupting sleep; therefore, clinical interventions targeting the reduction of nomophobia and improvement of sleep hygiene are recommended as effective strategies for managing premenstrual syndrome.

Reproduced under CC-BY.

Topics