ArticleMedicine2019
Association of the second derivative of photoplethysmogram with age, hemodynamic, autonomic, adiposity, and emotional factors.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Evaluating the efficacy of photoplethysmography-derived stiffness index, sine-waveform ratio, and heart rate variability total power for cardiovascular health assessment.BMC cardiovascular disorders · 2026Article
- Photoplethysmography acceleration indices as digital biomarkers of cardiometabolic health.Frontiers in digital health · 2026Article
- Correlation of Cardio-Ankle Vascular Index With Accelerated Photoplethysmography and Risk Factors: A Retrospective Chart Review.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- Second Derivative of the Finger Photoplethysmogram Predicts the Risk of Developing Hypertension in Middle-Aged Men.Journal of atherosclerosis and thrombosis · 2025Article
- Photoplethysmography Features Correlated with Blood Pressure Changes.Diagnostics (Basel, Switzerland) · 2024Review
- A machine learning-based approach for constructing remote photoplethysmogram signals from video cameras.Communications medicine · 2024Article
- Robust arterial compliance estimation with Katz's fractal dimension of photoplethysmography.Frontiers in physiology · 2024Article
- Benchmarking of Sensor Configurations and Measurement Sites for Out-of-the-Lab Photoplethysmography.Sensors (Basel, Switzerland) · 2023Article
- Variations in the Second Derivative of a Photoplethysmogram with Age in Healthy Korean Adults.International journal of environmental research and public health · 2022Article
- Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review.Healthcare (Basel, Switzerland) · 2022Review
- The answer at our fingertips: Volume status in cirrhosis determined by machine learning and pulse oximeter waveform.Physiological reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The second derivative of photoplethysmogram (SDPTG) is used as an arterial stiffness marker. This study aimed to examine the associations between SDPTG indices and age, in addition to hemodynamic, autonomic, adiposity, and emotional factors.This study had a cross-sectional chart review design, and electronic medical records of 262 women outpatients (mean ± SD,|38.57| ± |11.64 years) were reviewed. Among SDPTG measurements, b/a, c/a, d/a, and (b-c-d)/a were considered. Hemodynamic measurements included systolic and diastolic blood pressure (SBP and DBP) and cardiac output. Autonomic measurements included low and high frequency (LF and HF) values of the heart rate variability. Adiposity measurements included body mass index (BMI) and waist-hip ratio (WHR). Tension, anger, depression, fatigue, confusion, and vigor scores using the Profile of the Mood States were included as emotional markers. All data were normalized through the Box-Cox transformation, and 4 hierarchical regression models were constructed.Age was independently predictive of SDPTG, hemodynamic, autonomic, and adiposity factors (β; 0.143-0.648).After the adjustment for age, SBP and DBP showed negative correlations with d/a (r = -0.201, -0.262), whereas BMI, WHR, LF, and HF showed positive correlations with c/a (r = 0.126, 0.131, 0.151, 0.234). In the hierarchical regression modeling, age and hemodynamic factors were directly predictive of SDPTG indices (β; 0.103-0.626). Age had moderating effects between diastolic blood pressure, heart rate, depression scores, and SDPTG indices (β; 0.104-0.176).In conclusion, age, hemodynamic, adiposity, and autonomic factors may be independently associated with SDPTG indices for women. As age has moderating effects between hemodynamic, emotional factors, and SDPTG indices, its moderating effects should be considered when assessing arterial stiffness using SDPTG indices.
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Registered trials
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.