Table 5.

Independent sample t-test (t) testing the differences between groups (smokers vs. no-smokers, light daily smokers vs. no-light daily smokers and moderate-to-heavy smokers vs. no-moderate-to-heavy smokers) in the variables related to dating app use in the sample of active users. Degrees of freedom (df) of all the t-test are = 285. The effect size (Cohen’s d) is reported. Note that applying the Bonferroni correction, the significance level is set at 0.004.

App Use	Smokers vs. No-Smokers			Light Daily Smoking vs. No-Light Daily Smoking			Moderate-to-Heavy-Smoking vs. No-Moderate-to-Heavy Smoking
	t	p	d	t	p	d	t	p	d
Age of beginning to apps usage	2.30	<0.05	0.27	2.78	<0.01	0.34	1.26	0.21	0.22
Number of years of apps usage	1.52	0.13	0.18	−0.03	0.98	−0.01	−0.62	0.54	−0.11
Number of dating apps installed	1.19	0.23	0.14	−0.20	0.84	−0.02	1.10	0.27	0.20
Amount of time per day spent in apps	2.21	<0.05	0.27	1.66	0.10	0.21	1.36	0.17	0.25
Make a great number of access	1.86	0.06	0.22	0.50	0.62	0.06	0.77	0.44	0.14
Stop other activities to check apps	3.54	<0.001	0.42	3.27	<0.01	0.40	2.40	<0.05	0.43
Check notifications	3.70	<0.001	0.44	2.25	<0.05	0.28	0.37	0.71	0.07
Use the apps more than you would like	2.31	<0.05	0.27	1.36	0.17	0.17	2.31	<0.05	0.41
Access the apps without realizing it	1.50	0.14	0.18	2.03	<0.05	0.25	1.40	0.16	0.25
Give up hours of sleep to check app notifications	3.17	<0.01	0.38	2.33	<0.05	0.29	0.71	0.48	0.13
Have planned to reduce time in the apps	2.24	<0.05	0.27	2.05	<0.05	0.25	1.31	0.19	0.23
Get anxious or miss something without the possibility of using the apps	2.32	<0.05	0.27	3.12	<0.01	0.38	1.61	0.11	0.29