Research Article
The Influence of Smartphone Screen Time on Acquired Premature Ejaculation: A Prospective Preliminary Study
Table 1
Demographic data and characteristics of various parameters.
| | The number of participants | 60 |
| | , years | | | , kg/m2 | | | Education status, (%) | | | Primary education | 17 (28.3) | | Lower secondary education | 18 (30.0) | | Upper secondary education | 18 (30.0) | | Postsecondary nontertiary education | 7 (11.7) | | (min) | | | (min) | | | (min) | | | (min) | | | (min) | | | (min) | | | Categorization according to screen time per day, (%) | | | ≤240 min | 24 (40.0) | | 240-360 min | 22 (36.7) | | ≥360 min | 14 (23.3) | | (sec) | | | | | | | | | | | | | | | | | | | |
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SD: standard deviation; BMI: body mass index; IELT: intravaginal ejaculation latency time; PEDT: premature ejaculation diagnostic tool.
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