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. 2018 Sep 15;23(3):250–256. doi: 10.1016/j.bjpt.2018.08.013

Table 2.

Values for associations between the socio-demographic variables and SAS-SV categories (addicted and not addicted) and values for correlation between patterns of smartphone use and SAS-SV scores (n = 130).

Variables Values
Socio-demographic data
 Sex p = 0.78 x2 = 0.08
 Age p = 0.50 r = −0.06
 Civil status p = 0.55 x2 = 2.11
 Physical exercise p = 0.95 x2 = 0.004
 Neck pain p = 0.03* x2 = 4.76
 Wrist pain p = 0.003* x2 = 8.90



Smartphone use patterns
 Total minutes per day p < 0.001* r = 0.35
 Minutes per day working studying p = 0.04 r = 0.18
 Minutes per day leisure p < 0.001* r = 0.33
 Time owned a smartphone p = 0.007 r = 0.24
*

Statistical significant; r, Spearman correlation values; x2, Chi-Square association values.