Association between smartphone screen time and exaggerated blood pressure response during treadmill exercise testing: a cross-sectional study
Blood Pressure, cilt.34, sa.1, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 34 Sayı: 1
- Basım Tarihi: 2025
- Doi Numarası: 10.1080/08037051.2025.2533452
- Dergi Adı: Blood Pressure
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, MEDLINE, Directory of Open Access Journals
- Anahtar Kelimeler: Exaggerated hypertensive response, mobile phone screen time, physical activity, cardiovascular risk, sedentary behaviour
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Objective: This study aimed to investigate the relationship between exaggerated hypertensive response to exercise (EHRE), mobile phone screen time and daily physical activity levels, with a focus on potential lifestyle-related factors that contribute to cardiovascular risk. Methods: This observational case-control study enrolled 85 participants, who were categorised into an Exaggerated Hypertensive Response to Exercise (EHRE) group (n = 33) and a normotensive control group (n = 52). Participants underwent a standardised treadmill exercise test to identify EHRE. Objective data on daily mobile phone screen time and step counts were collected directly from the smartphones’ native tracking applications. Results: Compared to controls, participants with EHRE exhibited significantly higher daily mobile phone screen time (6.1 ± 1.2 h/day vs. 4.7 ± 0.9 h/day; p <.001), greater weekly screen time in dim-light conditions (e.g. in bed at night) (14.5 ± 3.4 h/week vs. 7.0 ± 2.1 h/week; p <.001), a longer duration of mobile phone usage (19.7 ± 1.9 years vs. 17.7 ± 1.5 years; p =.002) and notably lower daily step counts (4120 ± 950 steps/day vs. 6830 ± 1120 steps/day; p <.001). Conclusion: Increased mobile phone screen time and reduced physical activity levels were significantly associated with EHRE, suggesting that these factors are relevant as modifiable behavioural risk factors. These findings support the integration of digital behavioural metrics into preventive cardiovascular risk management strategies.