Association of Excessive Mobile Phone Usage With Sleep Quality and Fatigue Severity: an Epidemiologic Survey in Saudi Population

2021 · Harm · Low evidence

← Research stream

HarmLow evidencePaper 934

Study snapshot

Publicationmanual · 2021

Study typecross_sectional

Reported directionHarm

Evidence ratingLow

Abstract

Association of Excessive Mobile Phone Usage With Sleep Quality and Fatigue Severity: an Epidemiologic Survey in Saudi Population Al-khlaiwi T, Habib S. Association of Excessive Mobile Phone Usage With Sleep Quality and Fatigue Severity: an Epidemiologic Survey in Saudi Population. KMUJ. 13(2):60-5. 2021. doi: 10.35845/kmuj.2021.20531. Abstract OBJECTIVE: To determine the effect of mobile phone usage on sleep quality and fatigue severity through standard questionnaires in Saudi Arabia mobile phone users. METHODS: This cross-sectional study was conducted in Riyadh, Saudi Arabia on 251 mobile phone users from September 2019 to January 2020. Volunteer mobile phone users aging 15-65 years were selected by nonprobability convenience sampling technique from the Riyadh city community. The subjects were interviewed about the knowledge, attitude and practice of mobile phone use and were assessed through Pittsburg Sleep Quality index (PSQI) and Fatigue severity scale (FSS). Spearman’s correlations and Linear regression were applied for statistical analysis through SPSS V.22. RESULTS: Mean age of study participants was 32.43±12.8 years. There was a significant increase in PSQI and FSS with increase in daily mobile usage. When participants exceeded one-hour daily usage, PSQI (<1h=3.75, 1-2 h=5.78, >2h=6.85, p= 0.001) and FSS (<1h= 2.25, 1-2h= 3.17, >2h= 3.61, p=0.008) exceeded acceptable scores. Moreover, placing mobile phone inside bedroom was associated with the increase of PSQI (Near Pillow=6.93, Inside Bed=6.16, Outside bed=5.75, p=0.001) and FSS (Near Pillow=3.65, Inside Bed=3.39, Outside Bed=2.58, p= 0.008). There was a significant increase in PSQI (Near Pillow=6.93, Inside Bed=6.16, Outside bed=5.75, p=0.001) and FSS (Near Pillow=3.65, Inside Bed=3.39, Outside Bed=2.58, p= 0.008) its location inside bedrooms. Significant correlation was observed between high PSQI and FSS with daily usage (r=0.213, p=0.001 & r=0.171, p=0.01 respectively). CONCLUSION: Inappropriate and excessive mobile phone usage is associated with poor sleep quality and excessive fatigue in Saudi Arabian population. Open access paper: kmuj.kmu.edu.pk

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 directionharm

PopulationVolunteer mobile phone users in Riyadh, Saudi Arabia (ages 15–65)

Sample size251

Exposuredaily usage categories: <1 h, 1–2 h, >2 h; phone location in bedroom (near pillow/inside bed/outside bed)

Evidence strengthLowConfidence: 78% · Peer reviewed: unknown

Main findings

PSQI and FSS scores increased significantly with higher daily mobile phone usage; when daily use exceeded 1 hour, mean PSQI and FSS exceeded acceptable scores (PSQI p=0.001; FSS p=0.008). Keeping the phone in the bedroom (near pillow/inside bed vs outside bed) was associated with higher PSQI and FSS (both p=0.001 and p=0.008, respectively). Correlations were reported between daily usage and PSQI (r=0.213, p=0.001) and between daily usage and FSS (r=0.171, p=0.01).

Outcomes measured

Sleep quality (Pittsburgh Sleep Quality Index, PSQI)
Fatigue severity (Fatigue Severity Scale, FSS)
Knowledge, attitude and practice of mobile phone use (interview)

Limitations

Cross-sectional design (cannot establish causality)
Nonprobability convenience sampling from a single city community (Riyadh)
Exposure characterized as phone usage duration/location rather than measured EMF/RF exposure
Outcomes based on self-reported questionnaires

View raw extracted JSON

{
  "study_type": "cross_sectional",
  "exposure": {
    "band": null,
    "source": "mobile phone",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": "daily usage categories: <1 h, 1–2 h, >2 h; phone location in bedroom (near pillow/inside bed/outside bed)"
  },
  "population": "Volunteer mobile phone users in Riyadh, Saudi Arabia (ages 15–65)",
  "sample_size": 251,
  "outcomes": [
    "Sleep quality (Pittsburgh Sleep Quality Index, PSQI)",
    "Fatigue severity (Fatigue Severity Scale, FSS)",
    "Knowledge, attitude and practice of mobile phone use (interview)"
  ],
  "main_findings": "PSQI and FSS scores increased significantly with higher daily mobile phone usage; when daily use exceeded 1 hour, mean PSQI and FSS exceeded acceptable scores (PSQI p=0.001; FSS p=0.008). Keeping the phone in the bedroom (near pillow/inside bed vs outside bed) was associated with higher PSQI and FSS (both p=0.001 and p=0.008, respectively). Correlations were reported between daily usage and PSQI (r=0.213, p=0.001) and between daily usage and FSS (r=0.171, p=0.01).",
  "effect_direction": "harm",
  "limitations": [
    "Cross-sectional design (cannot establish causality)",
    "Nonprobability convenience sampling from a single city community (Riyadh)",
    "Exposure characterized as phone usage duration/location rather than measured EMF/RF exposure",
    "Outcomes based on self-reported questionnaires"
  ],
  "evidence_strength": "low",
  "confidence": 0.78,
  "peer_reviewed_likely": "unknown",
  "keywords": [
    "mobile phone usage",
    "sleep quality",
    "PSQI",
    "fatigue severity",
    "FSS",
    "Saudi Arabia",
    "Riyadh",
    "cross-sectional",
    "bedroom phone location"
  ],
  "suggested_hubs": [
    {
      "slug": "sleep-and-emf",
      "weight": 0.85,
      "reason": "Assesses sleep quality (PSQI) in relation to mobile phone usage."
    },
    {
      "slug": "mobile-phones",
      "weight": 0.75,
      "reason": "Exposure is daily mobile phone usage and phone placement in bedroom."
    }
  ]
}

AI can be wrong. Always verify against the paper.

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: 10.35845/kmuj.2021.20531
PubMed: Not supplied

Read the original paper →

Related papers

← Back to the Research Library