| Title |
Relationships between trait and respiratory parameters during quiet breathing in normal subjects
|
|---|---|
| Published in |
The Journal of Physiological Sciences, May 2017
|
| DOI | 10.1007/s12576-017-0539-7 |
| Pubmed ID | |
| Authors |
Akae Kato, Koki Takahashi, Ikuo Homma |
| Abstract |
Respiratory patterns are influenced and altered by various emotional changes. In the present study, we investigated how respiratory patterns differ from individual to individual during quiet breathing. We examined the State-Trait Anxiety Inventory and various respiratory parameters in 16 healthy male subjects. Tidal volume was significantly larger and respiratory rate (RR) was significantly higher in both the higher trait (HT) and higher state (HS) anxiety groups compared to the lower trait and lower state anxiety groups. Inspiratory (T I) and expiratory time (T E) was significantly shorter in both the HT and HS anxiety groups. There was no significant difference in minute ventilation between these two groups. End-tidal CO2%, heart rate, and oxygen uptake ([Formula: see text]) also showed no significant differences. V T showed a negative correlation and RR showed a positive correlation with trait scores. T I and T E showed a negative correlation with trait anxiety scores. However, no other respiratory parameter showed any correlation. These results suggest that the respiratory rhythm reflected by RR is affected by the activity generated in the higher center in accordance with the level of trait anxiety during quiet breathing in awake humans. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Lecturer | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Professor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 13 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 14% |
| Nursing and Health Professions | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Neuroscience | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 13 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 May 2017.
All research outputs
#18,810,041
of 23,975,976 outputs
Outputs from The Journal of Physiological Sciences
#200
of 321 outputs
Outputs of similar age
#226,603
of 313,979 outputs
Outputs of similar age from The Journal of Physiological Sciences
#6
of 10 outputs
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