Research ArticleOriginal Article
Open Access

Effects of smartphone overuse on headache, sleep and quality of life in migraine patients

Yasemin P. Demir and Mehmet M. Sümer
Neurosciences Journal April 2019, 24 (2) 115-121; DOI: https://doi.org/10.17712/nsj.2019.2.20180037

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Tables

  • Table 1

    General characteristic of the sample of the study.

    General Characteristic n=123Low smartphone use group (MPPUS<32) n=62High smartphone use group (MPPUS≥32) n=61P-value
    Age (year) (M±SD)43.77±11.2138.17±10.460.204
    Gender (%)0.000*
     Female74.2 (46)13,1 (8)
     Male25.8 (16)86.9 (53)
    Migraine history in the family (%)0.366
     Present61.3(38)63.9(39)
     Absent38.7(24)36.1 (22)
    Sports habit (%)0.050
     Present43.5 (27)60.7 (37)
     Absent56.5 (35)39.4 (24)
    Sports (%) 0.134
     Jogging67.7 (42)64.3 (38)
     Soccer-volleyball8.1 (5)9.8 (5)
     Pilates6.5 (4)9.8 (5)
     Fitness9.7 (6)16.4 (8)
     Other8.1 (5)9.8 (5)
    Sports frequency0.781
     1 day a week61.3 (38)73.8(45)
     1-3 days a week30.6 (19)19.7 (12)
     Everyday8.1 (5)6.6 (4)

    • M±SD - Mean and standart deviation, MPPUS - Mobile Phone Problematic Use Scale,

    • ↵* p<0.005

  • Table 2

    Comparison of proportional results between groups.

    Descriptive measurements n=123Low smartphone use group n=62High smartphone use group n=61P-value
    MIDAS Levels n (%)0.993
     Little or no disability (0-5)14.5 (9)11.5(7)
     Mild disability (6-10)9.8 (6)8.2 (5)
     Moderate disability (11-20)23.0 (14)24.6 (15)
     Severe disability52.5(33)55.7 (34)
    Pain frequency n (%)0.03*
     1 per week53.2 (33)21.3 (13)
     3 per week37.1 (23)60.7 (37)
     5 per week3.2 (2)9.8 (6)
     Everyday6.5 (4)8.2 (5)
    Pain duration n (%)0.007*
     0-15 minute4.8(3)1.6 (1)
     15-60 minute33.9 (21)13.1 (8)
     1-3 hour38.7 (24)37.7 (23)
     More than 3 hours22.6 (14)47.5 (29)
    Factors associated with pain n (%)0.481
     Vomiting and nausea6.4 (4)6.6 (4)
     Light sensitivity4.8 (3)3.3 (2)
     Sound sensitivity4.8 (3)6.6 (4)
     Light and sound17.7 (11)18.0 (11)
     All66.1 (41)65.5(41)
    PSQI n (%)0.115
     PSQI<5 Good sleep quality8.1 (5)4.9 (3)
     PSQI>6 Patological sleep91.9 (57)95.1 (58)
    ESS n (%)<0.00
     ESS ≤10 Normal sleepness75.8 (47)39.5 (24)1*
     ESS >10 Patological sleepness26.2 (15)59.5 (37)

    • Chi-square test, p<0.05, MIDAS - Migraine Disability Assessment Scale, PSQI - Pittsburgh Sleep Quality Index, ESS - Epworth Sleepness Scale

  • Table 3

    Comparison between high smartphone use group and low smartphone use group.

    Outcome measures n=123Low smartphone use group (MPPUS <32) n=62High smartphone use group (MPPUS ≥32) n=61P-value
    MPPUS21.26±4.7442.46 ±10.25<0.000*
    MIDAS10.17±10.1011.57±17.730.559
    PSQI16.08±4.614.26±5. 60.049*
    24 h MQoLQ43.88±14.2230.65±12.520.000*
    ESS6.40±4.3912.31±5. 6<0.000*
    VAS4.09±1.897.11±1.73<0.000*

    • Independent T test,

    • ↵* p<0.05, SD - Standard Deviation, MPPUS - Mobile Phone Problematic Use Scale, MIDAS - Migraine Disability Assessment, PSQI - Pittsburgh Sleep Quality Index, ESS - Epworth Sleepness scale, 24 h MQoLQ - 24-hour Migraine-Specific Quality of Life Questionnaire, VAS - Visual Analog Scale

  • Table 4

    The correlations between the score of MPPUS and other scale scores.

    MPPUS (n=123)X±SDrP-value
    VAS6.99±1.660.7150.00*
    MIDAS10.88±14.410.0290.75
    24 h MQoLQ36.12±14.68-0.5080.00*
    ESS9.42±5.870.6750.00*
    PSQI15.18±5.21-0.3670.00*
    Pain frequnecy0.1580.157
    Pain duration0.3080.01*

    • Pearson correlation

    • ↵* p<0.05, MPPUS -Mobile Phone Problematic Use Scale, MIDAS - Migraine Disability Assessment, PSQI - Pittsburgh Sleep Quality Index, ESS - Epworth Sleepness Scale, 24 h MQoLQ - 24-hour Migraine-Specific Quality of Life Questionnaire, VAS - Visual Analog Scale

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