Association of increased pain intensity, daytime sleepiness, poor sleep quality, & quality of life with mobile phone overuse in patients with migraine

2022 · Mixed · Low evidence

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MixedLow evidencePaper 697

In this multicenter cross-sectional comparative study of 400 migraine patients, the high mobile phone use group had greater pain intensity, poorer sleep quality, and reduced medication effectiveness compared with the low mobile phone use group (p < .05). Incr…

Study snapshot

Publicationmanual · 2022
Study typecross_sectional
Reported directionMixed
Evidence ratingLow

Abstract

Association of increased pain intensity, daytime sleepiness, poor sleep quality, & quality of life with mobile phone overuse in patients with migraine Butt M, Chavarria Y, Ninmol J, Arif A, Tebha SS, Daniyal M, Siddiqui UM, Shams SS, Sarfaraz Q, Haider SF, Essar MY. Association of increased pain intensity, daytime sleepiness, poor sleep quality, and quality of life with mobile phone overuse in patients with migraine: A multicenter, cross-sectional comparative study. Brain Behav. 2022 Sep 20:e2760. doi: 10.1002/brb3.2760. Abstract Background: The number of regular smartphone users has increased dramatically worldwide. Headaches, followed by sleep difficulties, forgetfulness, dizziness, and other ailments, are among the most prevalent complaints among smartphone users during or after use. In addition, migraine is a debilitating disease and is the world's second leading cause of disability. Hence, we performed this study to determine how smartphone overuse influenced migraine patients' level of disability, pain intensity, sleep quality, and overall quality of life. Methods: In this observational study, the patients were divided into two groups high mobile phone use group (HMPUG) and the low mobile phone user group (LMPUG) using the Mobile Phone Problematic Use Scale. We assessed, for each group, patients' level of disability, pain intensity, sleep quality, daytime sleepiness, and quality of life through the Migraine Disability Assessment Scale, Visual Analogue Scale, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and 24-h Migraine Quality of Life Questionnaire, respectively. Results: Our study showed that the respondents' average age was 27.59 (9.79) years. The average number of family members was 5.98 (2.3251). A total of 65.8% (n = 263) of the 400 participants were female, while 34.3 % (n = 137) were male. Greater pain intensity, poor sleep quality, and reduced medication effectivity were found in HMPUG compared to LMPUG (p < .05). However, increased duration of migraine and medication intake was reported in the LMPUG (p < .05). Conclusion: We observed that smartphone overuse could worsen pain, sleep, and reduce treatment efficacy in individuals with migraine. Therefore, controlled smartphone use is recommended to avoid worsening symptoms. onlinelibrary.wiley.com

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typecross_sectional
Effect directionmixed
PopulationPatients with migraine
Sample size400
ExposureNot supplied
Evidence strengthLowConfidence: 78% · Peer reviewed: yes

Main findings

In this multicenter cross-sectional comparative study of 400 migraine patients, the high mobile phone use group had greater pain intensity, poorer sleep quality, and reduced medication effectiveness compared with the low mobile phone use group (p < .05). Increased duration of migraine and medication intake were reported in the low mobile phone use group (p < .05).

Outcomes measured

  • pain intensity
  • sleep quality
  • daytime sleepiness
  • migraine disability
  • quality of life
  • medication effectiveness
  • duration of migraine
  • medication intake

Limitations

  • Observational cross-sectional design (cannot establish causality)
  • Exposure characterized as problematic/high vs low use via a questionnaire scale; no EMF/RF exposure metrics reported (e.g., frequency, SAR)
View raw extracted JSON
{
  "study_type": "cross_sectional",
  "exposure": {
    "band": null,
    "source": "mobile phone/smartphone overuse",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": "Patients with migraine",
  "sample_size": 400,
  "outcomes": [
    "pain intensity",
    "sleep quality",
    "daytime sleepiness",
    "migraine disability",
    "quality of life",
    "medication effectiveness",
    "duration of migraine",
    "medication intake"
  ],
  "main_findings": "In this multicenter cross-sectional comparative study of 400 migraine patients, the high mobile phone use group had greater pain intensity, poorer sleep quality, and reduced medication effectiveness compared with the low mobile phone use group (p < .05). Increased duration of migraine and medication intake were reported in the low mobile phone use group (p < .05).",
  "effect_direction": "mixed",
  "limitations": [
    "Observational cross-sectional design (cannot establish causality)",
    "Exposure characterized as problematic/high vs low use via a questionnaire scale; no EMF/RF exposure metrics reported (e.g., frequency, SAR)"
  ],
  "evidence_strength": "low",
  "confidence": 0.78,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "smartphone",
    "mobile phone overuse",
    "problematic use",
    "migraine",
    "pain intensity",
    "sleep quality",
    "daytime sleepiness",
    "quality of life",
    "cross-sectional",
    "Migraine Disability Assessment Scale",
    "Pittsburgh Sleep Quality Index",
    "Epworth Sleepiness Scale"
  ],
  "suggested_hubs": [
    {
      "slug": "mobile-phones",
      "weight": 0.9,
      "reason": "Study compares high vs low mobile phone (smartphone) use in migraine patients and reports symptom associations."
    }
  ]
}
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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1002/brb3.2760
PubMed: Not supplied

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