Authors:
H Ozaki School of Sport and Health Science, Tokai Gakuen University, Miyoshi, Japan
Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan

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G Kato Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan

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T Nakagata Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan

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T Nakamura Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan

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K Nakada Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan

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T Kitada Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan

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S Katamoto Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan

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H Naito Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan

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This study aimed to investigate the effects of a gradually decreasing intensity training from that corresponding to maximal anaerobic power (MAnP) to that of near maximal oxygen uptake () (decrescent intensity training) on MAnP, maximal accumulated oxygen deficit (MAOD), and in untrained young men. Seventeen untrained young men were randomly divided into either a training (TR; n = 9) group or a control (CON; n = 8) group. The TR group performed the decrescent intensity training, whereas the CON group did not perform any exercises. The mean training time per session throughout the training period was 275 ± 135 s. There was a Group × Time interaction for both absolute and relative (p < 0.01) values of , MAOD, and MAnP. The TR group had significantly increased values for all variables after the 8-week training program, and the relative values of all variables were significantly higher in the TR group than in the CON group. Muscle thicknesses in the anterior and posterior aspects of the thigh and maximal isokinetic knee extension and flexion strengths improved only in the TR group (p < 0.05). A single-exercise training with gradually decreasing intensity from that corresponding to the MAnP to that of approximately 100% improves MAnP, MAOD, and concurrently, despite the short training time per session.

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Editor-in-Chief

László ROSIVALL (Semmelweis University, Budapest, Hungary)

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Anna BERHIDI (Semmelweis University, Budapest, Hungary)

Co-Editors

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  • Ákos KOLLER (Semmelweis University, Budapest, Hungary)
  • Zsolt RADÁK (University of Physical Education, Budapest, Hungary)
  • László LÉNÁRD (University of Pécs, Hungary)
  • Zoltán UNGVÁRI (Semmelweis University, Budapest, Hungary)

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Hungarian Editorial Board

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  • Zoltán BENYÓ (Semmelweis University, Budapest, Hungary)
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  • László CSERNOCH (University of Debrecen, Hungary)
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  • László DÉTÁRI (Eötvös Loránd University, Budapest, Hungary)
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  • Gábor JANCSÓ (University of Pécs, Hungary)
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  • Gyula PAPP (University of Szeged, Hungary)
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  • Gyula SZABÓ (University of Szeged, Hungary)
  • Zoltán SZELÉNYI (University of Pécs, Hungary)
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  • József TOLDI (MTA-SZTE Neuroscience Research Group and University of Szeged, Hungary)
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  • George KUNOS (National Institutes of Health, Bethesda, USA)
  • Massoud MAHMOUDIAN (Iran University of Medical Sciences, Tehran, Iran)
  • Tadaaki MANO (Gifu University of Medical Science, Japan)
  • Luis Gabriel NAVAR (Tulane University School of Medicine, New Orleans, USA)
  • Hitoo NISHINO (Nagoya City University, Japan)
  • Ole H. PETERSEN (Cardiff University, UK)
  • Ulrich POHL (German Centre for Cardiovascular Research and Ludwig-Maximilians-University, Planegg, Germany)
  • Andrej A. ROMANOVSKY (University of Arizona, USA)
  • Anwar Ali SIDDIQUI (Aga Khan University, Karachi, Pakistan)
  • Csaba SZABÓ (University of Fribourg, Switzerland)
  • Eric VICAUT (Université de Paris, UMRS 942 INSERM, France)
  • Nico WESTERHOF (Vrije Universiteit Amsterdam, The Netherlands)

 

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2022  
Web of Science  
Total Cites
WoS
335
Journal Impact Factor 1.4
Rank by Impact Factor

Physiology (Q4)

Impact Factor
without
Journal Self Cites
1.4
5 Year
Impact Factor
1.6
Journal Citation Indicator 0.42
Rank by Journal Citation Indicator

Physiology (Q4)

Scimago  
Scimago
H-index
33
Scimago
Journal Rank
0.362
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Physiology (medical) (Q3)
Medicine (miscellaneous) (Q3)

Scopus  
Scopus
Cite Score
2.8
Scopus
CIte Score Rank
Physiology 68/102 (33rd PCTL)
Scopus
SNIP
0.508

2021  
Web of Science  
Total Cites
WoS
330
Journal Impact Factor 1,697
Rank by Impact Factor

Physiology 73/81

Impact Factor
without
Journal Self Cites
1,697
5 Year
Impact Factor
1,806
Journal Citation Indicator 0,47
Rank by Journal Citation Indicator

Physiology 69/86

Scimago  
Scimago
H-index
31
Scimago
Journal Rank
0,32
Scimago Quartile Score Medicine (miscellaneous) (Q3)
Physiology (medical) (Q3)
Scopus  
Scopus
Cite Score
2,7
Scopus
CIte Score Rank
Physiology (medical) 69/101 (Q3)
Scopus
SNIP
0,591

 

2020  
Total Cites 245
WoS
Journal
Impact Factor
2,090
Rank by Physiology 62/81 (Q4)
Impact Factor  
Impact Factor 1,866
without
Journal Self Cites
5 Year 1,703
Impact Factor
Journal  0,51
Citation Indicator  
Rank by Journal  Physiology 67/84 (Q4)
Citation Indicator   
Citable 42
Items
Total 42
Articles
Total 0
Reviews
Scimago 29
H-index
Scimago 0,417
Journal Rank
Scimago Physiology (medical) Q3
Quartile Score  
Scopus 270/1140=1,9
Scite Score  
Scopus Physiology (medical) 71/98 (Q3)
Scite Score Rank  
Scopus 0,528
SNIP  
Days from  172
submission  
to acceptance  
Days from  106
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to publication  

2019  
Total Cites
WoS
137
Impact Factor 1,410
Impact Factor
without
Journal Self Cites
1,361
5 Year
Impact Factor
1,221
Immediacy
Index
0,294
Citable
Items
34
Total
Articles
33
Total
Reviews
1
Cited
Half-Life
2,1
Citing
Half-Life
9,3
Eigenfactor
Score
0,00028
Article Influence
Score
0,215
% Articles
in
Citable Items
97,06
Normalized
Eigenfactor
0,03445
Average
IF
Percentile
12,963
Scimago
H-index
27
Scimago
Journal Rank
0,267
Scopus
Scite Score
235/157=1,5
Scopus
Scite Score Rank
Physiology (medical) 73/99 (Q3)
Scopus
SNIP
0,38

 

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Physiology International
Language English
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