Evidence map›Paper›PMID 41499059›Full record

ArticleInternational urology and nephrology2026

Wearable technology-derived digital biomarkers for non-invasive assessment of erectile dysfunction: a cross-sectional pilot study.

Tunahan Ates, Ibrahim Halil Sukur, Fesih Ok, Ismail Onder Yilmaz, Mehmet Gurkan Arikan, Nebil Akdogan, Mutlu Deger

Abstract readComparative Study
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Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tunahan AtesDepartment of Urology, Defne State Hospital, Hatay, Turkey. drtunahanates0101@gmail.com.ORCID http://orcid.org/0000-0001-9087-290X
Ibrahim Halil SukurDepartment of Urology, Adana Training and Research Hospital, Adana, Turkey.ORCID http://orcid.org/0000-0002-4283-6362
Fesih OkDepartment of Urology, Adana Training and Research Hospital, Adana, Turkey.ORCID http://orcid.org/0000-0002-8785-9867
Ismail Onder YilmazDepartment of Urology, Faculty of Medicine, Çukurova University, Adana, Turkey.ORCID http://orcid.org/0000-0003-2325-177X
Mehmet Gurkan ArikanDepartment of Urology, Faculty of Medicine, Çukurova University, Adana, Turkey.ORCID http://orcid.org/0000-0002-9707-596X
Nebil AkdoganDepartment of Urology, Faculty of Medicine, Çukurova University, Adana, Turkey.ORCID http://orcid.org/0000-0001-9756-8775
Mutlu DegerDepartment of Urology, Faculty of Medicine, Çukurova University, Adana, Turkey.ORCID http://orcid.org/0000-0002-8357-5744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionErectile dysfunction (ED) represents a significant health concern that affects not only physical well-being but also psychological health and quality of life. This study aimed to investigate the potential of digital biomarkers derived from smartwatches for the risk assessment of ED.

methodsThis prospective, comparative cross-sectional study investigated digital biomarkers derived from smartwatch technology for ED assessment in 74 male participants (38 ED patients, 36 controls) between May and September 2025. Participants wore iOS-based smartwatches continuously for 14 days to monitor physiological parameters including heart rate variability (HRV), sleep architecture, and physical activity levels. ED diagnosis was established using the International Index of Erectile Function 5-item form (IIEF-5) with scores ≤ 21 indicating ED. Statistical analyses included univariate/multivariate logistic regression and ROC curve analysis.

resultsCompared to controls, the ED group demonstrated significantly lower HRV (32 vs. 38.5 ms, p < 0.001), higher resting heart rate (69 vs. 58 bpm, p < 0.001), increased wake time percentage (p < 0.001), decreased deep sleep duration (20% vs. 25%, p < 0.001), and reduced daily step count (4196 vs. 5142 steps, p = 0.001). Multivariate analysis identified HRV (OR: 0.884, p = 0.019), wake time percentage (OR: 1.832, p = 0.005), and daily step count (OR: 0.872, p = 0.002) as independent associated variables. ROC analysis revealed wake time percentage demonstrated highest screening performance (AUC: 0.752, sensitivity: 68.4%, specificity: 69.4%).

conclusionPreliminary findings from this pilot study suggested that digital biomarkers from smartwatch technology could offer potential for non-invasive ED risk assessment. These results provided a feasibility foundation for integrating wearable technologies into clinical practice for personalized sexual health management.

Indexed as

Erectile DysfunctionWearable Electronic DevicesAdultBiomarkersCross-Sectional StudiesDigital HealthExerciseHeart RateHumansMaleMiddle AgedPilot ProjectsProspective StudiesRisk AssessmentBiomarkersDigital biomarkerErectile dysfunctionSmart watchWearable technology

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.