Why the study?
To explore the role of Skin Sympathetic Nerve Activity in exercise monitoring and determination of metabolic thresholds, and to verify the reliability of SKNA Thresholds.
Does Skin Sympathetic Nerve Activity (SKNA) monitoring during progressive exercise reliably predict metabolic ventilatory thresholds in healthy adults?
Does Skin Sympathetic Nerve Activity (SKNA) monitoring during progressive exercise reliably predict metabolic ventilatory thresholds in healthy adults?
Skin Sympathetic Nerve Activity represents a novel, non-invasive physiological metric that closely correlates with traditional ventilatory thresholds to monitor exercise intensity and autonomic responses.
SKNA thresholds may track ventilatory thresholds non-invasively; hypothesis-generating and requires prospective validation before clinical use.
This study aims to explore the role of Skin Sympathetic Nerve Activity (SKNA) in exercise monitoring and the determination of metabolic thresholds, and to verify the reliability of the SKNA Thresholds (SKNATs). During the Ramp Incremental Exercise Test (RIET), aSKNA, HR, and gas metabolic parameters were recorded and analyzed to assess their changes and the feasibility of SKNATs. Results showed that, compared to the baseline, aSKNA significantly increased during RIET ( p < 0.001), and decreased after exercise. The first SKNA threshold (SKNAT 1 ) occurred at 43 ± 6% of exercise time, and the second SKNA threshold (SKNAT 2 ) occurred at 76 ± 5%. At SKNAT 1 , both HR and aSKNA were significantly lower than at the first ventilatory threshold (VT 1 ) ( p < 0.05, p < 0.01), while at SKNAT 2 , all measures except aSKNA were significantly lower than at the second ventilatory threshold (VT 2 ) ( p < 0.05). A strong correlation was observed between SKNATs and VTs, with the highest correlation found at VO 2 ( r = 0.902, p < 0.0001). ICC showed moderate to strong concordance for all parameters at SKNAT1 and VT1, with higher agreement at the second thresholds. Collectively, aSKNA increases with exercise load during RIET and exhibits non‐linear inflection points. SKNATs show strong potential for predicting VTs, representing a promising emerging indicator for determining metabolic thresholds.
No takes yet. Share an insight, caveat, or question.
Wang et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: