Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan
The purpose of this study was to perform a feature extraction of sleep and lifecycle characteristics among watch-keepers involved in marine accidents and incidents. A questionnaire that included attributes of the watch-keeper, amount of sleep, problems related to sleep, fatigue, feeling hiyari-hatto...
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Фізико-хімічний інститут ім. О.В. Богатського НАН України
2011
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| Назва видання: | Актуальні проблеми транспортної медицини |
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| Цитувати: | Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan / Shinsuke Urushidani, Toshiki Kikuchi, Toshikazu Terasawa, Yuji Sano // Актуальні проблеми транспортної медицини. — 2011. — № 4 (26). — С. 62-67. — Бібліогр.: 6 назв. — англ. |
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irk-123456789-1380872018-06-19T03:06:22Z Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan Shinsuke Urushidani Toshiki Kikuchi Toshikazu Terasawa Yuji Sano Психофизиология на транспорте The purpose of this study was to perform a feature extraction of sleep and lifecycle characteristics among watch-keepers involved in marine accidents and incidents. A questionnaire that included attributes of the watch-keeper, amount of sleep, problems related to sleep, fatigue, feeling hiyari-hatto incidents, and the Epworth sleepiness scale (ESS) was administered to a sample of 7,750 watch-keepers (response rate - 21.3%). Watch:keepers have problems related to sleep, such as “once a month or more awaking while sleeping and cannot sleep afterwards”, “once a month or more awaking too early in the morning and cannot sleep afterwards”, “I have been told by my family and colleagues that I snore”, and “I had my breathing stopped while sleeping”. Some watchkeepers indicated “once a month or more feeling hiyari-hatto incidents” The analysis of cargo ships and tankers revealed there was a notable relationship between the situation of “once a month or more feeling hiyari-hatto incidents” and the influence of each “frequency of interrupted sleep”, “sleep delay”, “frequency of interrupted sleep” and ”early morning sleeplessness”. These results suggest that watch-keeper of each ship have problems related to sleep due to sleep and lifecycle characteristics. Проведено аналіз основних особливостей режиму праці, обумовлених несенням вахт на судах різних типів (суховантажі, танкери, прогулянкові судна та ін) за даними анкетування 7750 моряків. Встановлено, що вахтові офіцери відзначають наявність проблем, пов'язаних з різними видами порушень сну (недостатнє загальний час сну за добу, порушення регулярності у наданні часу для сну, позбавлення сну під час вантажних операцій, переривчастий сон та ін.) Показано наявність достовірної взаємозв'язку між характером сну і частотою інцидентів, що призводять до аварійності на флоті. Проведен анализ основных особенностей режима труда, обусловленных несением вахт на судах различных типов (сухогрузы, танкеры, прогулочные суда и др.) по данным анкетирования 7750 моряков. Установлено, что вахтенные офицеры отмечают наличие проблем, связанных с различными видами нарушений сна (недостаточное общее время сна за сутки, нарушение регулярности в предоставлении времени для сна, лишение сна во время грузовых операций, прерывистый сон и др.). Показано наличие достоверной взаимосвязи между характером сна и частотой инцидентов, приводящих к аварийности на флоте. 2011 Article Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan / Shinsuke Urushidani, Toshiki Kikuchi, Toshikazu Terasawa, Yuji Sano // Актуальні проблеми транспортної медицини. — 2011. — № 4 (26). — С. 62-67. — Бібліогр.: 6 назв. — англ. 1818-9385 http://dspace.nbuv.gov.ua/handle/123456789/138087 656 en Актуальні проблеми транспортної медицини Фізико-хімічний інститут ім. О.В. Богатського НАН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| topic |
Психофизиология на транспорте Психофизиология на транспорте |
| spellingShingle |
Психофизиология на транспорте Психофизиология на транспорте Shinsuke Urushidani Toshiki Kikuchi Toshikazu Terasawa Yuji Sano Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan Актуальні проблеми транспортної медицини |
| description |
The purpose of this study was to perform a feature extraction of sleep and lifecycle characteristics among watch-keepers involved in marine accidents and incidents. A questionnaire that included attributes of the watch-keeper, amount of sleep, problems related to sleep, fatigue, feeling hiyari-hatto incidents, and the Epworth sleepiness scale (ESS) was administered to a sample of 7,750 watch-keepers (response rate - 21.3%). Watch:keepers have problems related to sleep, such as “once a month or more awaking while sleeping and cannot sleep afterwards”, “once a month or more awaking too early in the morning and cannot sleep afterwards”, “I have been told by my family and colleagues that I snore”, and “I had my breathing stopped while sleeping”. Some watchkeepers indicated “once a month or more feeling hiyari-hatto incidents” The analysis of cargo ships and tankers revealed there was a notable relationship between the situation of “once a month or more feeling hiyari-hatto incidents” and the influence of each “frequency of interrupted sleep”, “sleep delay”, “frequency of interrupted sleep” and ”early morning sleeplessness”. These results suggest that watch-keeper of each ship have problems related to sleep due to sleep and lifecycle characteristics. |
| format |
Article |
| author |
Shinsuke Urushidani Toshiki Kikuchi Toshikazu Terasawa Yuji Sano |
| author_facet |
Shinsuke Urushidani Toshiki Kikuchi Toshikazu Terasawa Yuji Sano |
| author_sort |
Shinsuke Urushidani |
| title |
Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan |
| title_short |
Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan |
| title_full |
Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan |
| title_fullStr |
Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan |
| title_full_unstemmed |
Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan |
| title_sort |
analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in japan |
| publisher |
Фізико-хімічний інститут ім. О.В. Богатського НАН України |
| publishDate |
2011 |
| topic_facet |
Психофизиология на транспорте |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/138087 |
| citation_txt |
Analysis of background factors in marine accidents and incidents caused by watch-keeper drowsiness in Japan / Shinsuke Urushidani, Toshiki Kikuchi, Toshikazu Terasawa, Yuji Sano // Актуальні проблеми транспортної медицини. — 2011. — № 4 (26). — С. 62-67. — Бібліогр.: 6 назв. — англ. |
| series |
Актуальні проблеми транспортної медицини |
| work_keys_str_mv |
AT shinsukeurushidani analysisofbackgroundfactorsinmarineaccidentsandincidentscausedbywatchkeeperdrowsinessinjapan AT toshikikikuchi analysisofbackgroundfactorsinmarineaccidentsandincidentscausedbywatchkeeperdrowsinessinjapan AT toshikazuterasawa analysisofbackgroundfactorsinmarineaccidentsandincidentscausedbywatchkeeperdrowsinessinjapan AT yujisano analysisofbackgroundfactorsinmarineaccidentsandincidentscausedbywatchkeeperdrowsinessinjapan |
| first_indexed |
2025-07-10T05:04:19Z |
| last_indexed |
2025-07-10T05:04:19Z |
| _version_ |
1837235031477583872 |
| fulltext |
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ТРАНСПОРТНОЙ МЕДИЦИНЫ № 4 (26), 2011 г.
62
ACTUAL PROBLEMS OF TRANSPORT MEDICINE #4 (26), 2011
Introduction
Every year, numerous mar ine
accidents caused by human errors occur
at sea near Japan, result ing in
casualt ies. These accidents have
signif icant social, economic and
environmental impacts. The proportion
of dozing in all ship accidents is about
10% [1].Marine accidents caused by
Watch:Keepers drowsiness accounts is
increasing tendency.
Marine accidents that had been
described to the judgment record of
Japan Marine Accidents Inquiry Agency
judgments between 1994 and 2003 were
used for analysis [2:5].
The purpose of this study was to
investigate a feature extraction for
occurrences of dozing among watch:
keepers involved in marine accidents
and incidents.
Questionnaire was administered to
watch:keepers.
Methodology
A questionnaire that included
attributes of the watch:keeper, amount
of sleep, problems related to sleep,
fatigue, feeling hiyari:hatto incidents,
and the Epworth s leepiness scale
(ESS)[6] was administered to a sample
UDC 656
ANALYSIS OF BACKGROUND FACTORS IN MARINE ACCIDENTS
AND INCIDENTS CAUSED BY WATCH_KEEPER DROWSINESS IN
JAPAN
Shinsuke Urushidani*, Toshiki Kikuchi**, Toshikazu Terasawa***, Yuji
Sano****
*Japan Transport Safety Board, Secretariat
**College of Industrial Technology, Department of Liberal Arts and Basic Sciences,
Nihon University, Japan
***Graduate School of Marine Science and Technology, Tokyo University of Marine
Science and Technology, Japan
****Faculty of Marine Science, Tokyo University of Marine Science and
Technology, Japan
The purpose of this study was to perform a feature extraction of sleep and lifecycle
characteristics among watch:keepers involved in marine accidents and incidents.
A questionnaire that included attributes of the watch:keeper, amount of sleep,
problems related to sleep, fatigue, feeling hiyari:hatto incidents, and the Epworth sleepiness
scale (ESS) was administered to a sample of 7,750 watch:keepers (response rate : 21.3%).
Watch:keepers have problems related to sleep, such as “once a month or more
awaking while sleeping and cannot sleep afterwards”, “once a month or more awaking too
early in the morning and cannot sleep afterwards”, “I have been told by my family and
colleagues that I snore”, and “I had my breathing stopped while sleeping”. Some watch:
keepers indicated “once a month or more feeling hiyari:hatto incidents”
The analysis of cargo ships and tankers revealed there was a notable relationship
between the situation of “once a month or more feeling hiyari:hatto incidents” and the
influence of each “frequency of interrupted sleep”, “sleep delay”, “frequency of interrupted
sleep” and ”early morning sleeplessness”.
These results suggest that watch:keeper of each ship have problems related to sleep
due to sleep and lifecycle characteristics.
Keywords : Accident analysis, Maritime Casualty, Doze, Sleep, Lifecycle
ACTUAL PROBLEMS OF TRANSPORT MEDICINE #4 (26), 2011
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ТРАНСПОРТНОЙ МЕДИЦИНЫ № 4 (26), 2011 г.
63
of 7,750 watch:keepers (response rate:
21.3 %).
Sending of questionnaire:
(a) Fishing vessels Sent to Japan
Fisheries Cooperatives (2,284
copies)
(b) Cargo ships, Tankers, other types of
ship Sent to 383 off ices (4,617
copies)
(c) Pleasure boats Sent to 703 owners
of boat (Cooperated with Japan
Sailing Federation)
Contents of questionnaire:
1. Property of Watch:keeper Age,
Exercise times, Smoking, Alcoholic
drinking
2. Situation of work Sea experience,
Number of crew, Tonnage of ship,
Shift of watch, Time of operating
ship per day
3. Feel ing hiyari:hatto (near miss)
incidents (a situation deemed to
bear the risk of marine accident
occurring) by drowsiness in the past
a year
4. Problems due to sleep duration of
s leeping hours, Sleep delay,
Frequency of interrupted s leep,
Ear ly morning sleeplessness,
Snoring, Sleep apnea
5. The Epworth Sleepiness Scale (ESS)
The cross tabulat ion for the
questionnaire results was conducted by
the correlat ion analys is us ing
Spearman’s rank correlation coefficient,
Pearson’s chi:square test, Wilcoxon’s
rank sum test and Kruskal–Wallis test.
Results
Fig.1 shows “Near miss incidents
in the past year and sleeping hours per
day”. The horizontal line represents rate
of near miss incidents frequency. A
61.7
58.1
57.4
63.6
58.9
64.2
26.8
29.0
30.0
29.5
36.4
0 20 40 60 80 100
20～24
16～20
12～16
8～12
4～8
0～4
Several times per year
Once a month or more
Once a week or more
3 times per week or more
Not clear
Never
31.9
33.0
37.3
70.0
71.6
66.0
62.7
57.1
53.0
30.0
23.0
29.1
4.1
2.3
3.1
6.1
2.4
0 20 40 60 80 100
9～
8～9
7～8
6～7
5～6
～5
(%)
Fig. 2. Near miss incidents in the past year and
frequency of sleep per day
Fig. 3. Near miss incidents in the past year and
sleep delay
Fig. 4. Near miss incidents in the past year and
frequency of interrupted sleep
49.0
60.6
64.2
42.9
30.1
31.3
6.1
5.0
2.6
0 20 40 60 80 100
3～
2
1
(%)
50.0
51.6
58.1
63.4
64.4
30.7
30.5
33.3
38.5
30.8
8.3
6.6
5.7
4.0
2.1
0 20 40 60 80 100
121～
60～120
31～59
11～30
～10
(%)
61.0
46.7
54.9
63.1
59.6
69.3
30.7
35.1
26.7
33.6
37.7
31.7
2.0
3.7
4.0
6.5
7.4
6.1
0 20 40 60 80 100
Nearly every day
3 tim es per week or
more
Once or twice a week
Once or twice a week
Several times per year
Rarely
(%)
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ТРАНСПОРТНОЙ МЕДИЦИНЫ № 4 (26), 2011 г.
64
ACTUAL PROBLEMS OF TRANSPORT MEDICINE #4 (26), 2011
legend of Fig.1 is appl ied in Fig.2:
Fig.11.The vert ical l ine represents
duration hours of sleep per day яhours/
1day).
As shown from this graph, the
longer the duration of sleep, the
fewer near miss incidents occur
(p<0.01).
Fig.2 shows “Near miss
incidents in the past year and
frequency of sleep per day”. The
vertical line represents frequency
of sleep per day (times/1day).
As shown from this graph,
the greater the frequency of
s leep, the more near miss
incidents occur (p<0.05).
Fig.3 shows “Near miss
incidents in the past year and
sleep delay”. The vertical l ine
represents sleep delay that is
duration from going bed to sleep
(min).
As shown from this graph,
the longer the sleep delay, the
more near miss incidents occur
(p<0.01).
Fig.4 shows “Near miss
incidents in the past year and
frequency of interrupted sleep”.
The vert ical l ine represents
frequency of interrupted sleep.
As shown from this graph,
the more frequent the occurrence
of interrupted sleep, the more
near miss incidents occur
(p<0.001).
Fig.5 shows “Near miss
incidents in the past year and
frequency of ear ly morning
sleeplessness”. The vertical line
represents frequency of early
morning sleeplessness.
As shown from this graph,
the more frequent the occurrence
of early morning sleeplessness,
the more near miss incidents
occur (p<0.05).
Fig.6 shows “Near miss
incidents in the past year and snoring”.
The vertical l ine represents snoring
frequency.
As shown from this graph, a higher
frequency of snoring among watch:
Fig. 5. Near miss incidents in the past year and
frequency of early morning sleeplessness
Fig. 6. Near miss incidents in the past year and
snoring
Fig. 7. Near miss incidents in the past year and
sleep apnea
61.5
51.6
48.4
63.7
57.7
69.9
33.7
35.5
25.9
29.9
35.2
38.1
5.1
8.2
7.4
4.0
3.9
2.2
0 20 40 60 80 100
N early every day
3 tim es per w eek or
m ore
O nce or tw ice a w eek
O nce or tw ice a w eek
S everal tim es per year
Rarely
(%)
59.1
65.9
33.3
28.4
4.5
2.8
0 20 40 60 80 100
Ｙｅｓ
Ｎｏ
(%)
(n=707)
(n=926)
56.7
62.9
32.2
31.0
5.6
3.5
0 20 40 60 80 100
Ｙｅｓ
Ｎｏ
(%)
(n=1401)
(n=233)
ACTUAL PROBLEMS OF TRANSPORT MEDICINE #4 (26), 2011
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ТРАНСПОРТНОЙ МЕДИЦИНЫ № 4 (26), 2011 г.
65
keepers is associated with a greater
number of near miss incidents (p<0.01).
Fig.7 shows “Near miss incidents in
the past year and sleep apnea”. The
vertical l ine represents sleep apnea
frequency.
As shown from this graph, a higher
frequency of sleep apnea among watch:
keepers is associated with a greater
number of near miss incidents (p<0.05).
Fig.8 shows “Near miss incidents in
the past year and degree of tiredness”.
The vertical line represents degree of
tiredness.
As shown from this graph, the more
frequent the occurrence of strong
tiredness, the more near miss incidents
occur (p<0.001).
Fig.9 shows “Near miss incidents in
the past year and amount of smoking
per day”. The vertical line represents
amount of smoking per day.
As shown from this graph, the
greater the amount of smoking, the
more near miss incidents occur
(p<0.01).
Fig.10 shows “Near miss incidents
in the past year and amount of alcoholic
drinks per day”. The vert ical l ine
represents amount of alcoholic drinks
per day. Consumption of alcohol based
on 1 drink = 350 mL beer.
As shown from this graph, the
greater the consumption of alcohol, the
more near miss incidents occur
(p<0.05).
Fig.11 shows “Near miss incidents
in the past year and Epworth Sleepiness
Scale (ESS)”. The vert ical l ine
represents Epworth Sleepiness Scale
(ESS) score category.
As shown from this graph, the
greater the degree of sleepiness, the
more near miss incidents occur
(p<0.001).
The vertical line represents type of
operating ship (Fig.12:Fig.15).
Fig.12 shows “Frequency of sleep
per day and type of operating ship”. The
hor izontal l ine represents rate of
frequency of sleep per day (times/1day).
As shown from this graph, about
70% of watch:keepers on Cargo ships
and Tankers sleep two or more times per
day (p<0.001).
Fig.13 shows “Sleep delay and type
of operating ship”. The horizontal line
represents duration of sleep delay (min).
As shown from this graph, about 40
or 50% of watch:keepers on Cargo ships
and Tankers report sleep delay more
than 31 min (p<0.001).
Fig. 8. Near miss incidents in the past year and
degree of tiredness
Fig. 9. Near miss incidents in the past year and
amount of smoking per day
Fig.10 Near miss incidents in the past year and
amount of alcoholic drinks per day
54.9
47.6
49.2
64.6
86.2
31.4
12.3
25.5
39.3
40.2
7.8
7.6
5.2
3.1
0 20 40 60 80 100
Very strong
Strong
M oderately strong
W eak
Nothing
(%)
(n=261)
(n=707)
(n=463)
(n=145)
(n=51)
60.0
54.5
63.3
66.1
64.8
27.1
29.4
30.3
38.0
29.3
3.2
4.5
5.1
3.4
3.3
0 20 40 60 80 100
30～
20～29
10～19
1～9
0(Non sm oker)
(%)
(n=847)
(n=59)
(n=215)
(n=332)
(n=185)
63.0
55.3
60.9
66.0
65.5
28.8
28.1
29.3
37.5
32.0
4.8
4.9
3.1
3.9
3.3
0 20 40 60 80 100
4～
3
2
1
Ｎｅｖｅｒ
(%)
(n=420)
(n=309)
(n=353)
(n=304)
(n=208)
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ТРАНСПОРТНОЙ МЕДИЦИНЫ № 4 (26), 2011 г.
66
ACTUAL PROBLEMS OF TRANSPORT MEDICINE #4 (26), 2011
Fig.14 shows “Frequency of inter:
rupted s leep and type of operating
ship”. The horizontal line represents fre:
quency of interrupted sleep.
As shown from this graph, Watch:
keepers on Cargo ships and Tankers
report a high frequency of interrupted
sleep (p<0.001).
Fig.15 shows “Degree of tiredness
and type of operating ship”. The hori:
zontal line represents degree of tired:
ness.
As shown from this graph, Watch:
keepers on Cargo ships and Tankers
report a high percentage of strong de:
gree tiredness (p<0.001).
Conclusions
Considering the circumstances
mentioned above the risk factors of the
near miss shows as follows, with signif:
icance level to each. Risk factors for
near miss incidents are “Sleeping hours
per day”,“Frequency of sleep per day”,
“Sleep delay”, “Interrupted sleep”, “Ear:
ly morning sleeplessness”, “Snoring”,
“Sleep apnea”, “Degree of tiredness”,
“Amount of smoking ”, “Amount of alco:
holic drinks” and “Epworth Sleepiness
Scale”.
The analysis of cargo ships and
tankers revealed there was a notable
relationship between “Frequency of
sleep per day” due to shift of watch and
the influence of “Sleep delay”, “Fre:
quency of interrupted sleep” and “Early
morning sleeplessness”.
Consequently, these factors were
Fig. 11. Near miss incidents in the past year and
Epworth Sleepiness Scale (ESS)
Fig.12 Frequency of sleep per day and type of op-
erating ship
Fig.13 Sleep delay and type of operating ship
12.0
65.1
37.7
24.0
29.0
50.7
40.0
3.3
6.8
20.0
4.0
0 20 40 60 80 100
0～10
11～16
16～
(%)
(n=25)
(n=146)
(n=1446)
72.7
72.1
94.4
63.1
78.7
34.0
23.9
60.9
22.7
20.7
32.1
21.3
63.3
71.6
31.9
0 20 40 60 80 100
Training ships
P leasure boats
Recreational fishing v.
Tug or Push boats
Passenger vessels
Tankers
Cargo ships
Fishing vessels
(%)
1 2 3～ Not clear
(n=545)
(n=297)
(n=47)
(n=84)
(n=36)
(n=294)
(n=22)
(n=201)
72.7
72.1
94.4
63.1
78.7
34.0
23.9
60.9
22.7
20.7
32.1
21.3
63.3
71.6
31.9
0 20 40 60 80 100
T raining ships
P leasure boats
R ecreational fishing v.
Tug or P ush boats
P assenger vessels
T ankers
C argo ships
Fishing vessels
(%)
1 2 3～ N ot clear
(n=545)
(n=201)
(n=297)
(n=47)
(n=84)
(n=36)
(n=294)
(n=22)
Fig.14 Frequency of interrupted sleep and type of
operating ship
Fig. 15. Degree of tiredness and type of operating
ship
77.3
50.0
72.2
34.5
42.6
26.6
21.9
43.3
13.6
23.5
8.3
15.5
21.3
11.8
18.4
23.7
4.5
10.9
10.7
12.8
14.1
9.5
10.3
10.2
8.3
20.2
17.0
23.6
31.3
12.1
5.6
13.1
4.3
14.8
8.5
4.4
0 20 40 60 80 100
Training ships
Pleasure boats
Recreational fishing v.
Tug or Push boats
Passenger vessels
Tankers
Cargo ships
Fishing vessels
(%)
Never Several tim es per year O nce a m onth or m ore
O nce or twice a w eek 3 tim es per w eek or m ore Nearly every day
Not clear
(n=545)
(n=297)
(n=84)
(n=36)
(n=294)
(n=22)
(n=201)
22.7
28.9
33.3
8.3
2.1
4.0
5.0
21.7
27.3
56.1
41.7
42.9
51.1
33.0
40.8
43.3
22.7
11.6
19.4
28.6
25.5
44.1
38.3
24.8
13.6
14.3
14.9
11.8
11.9
7.3
13.6
6.0
6.4
6.7
0 20 40 60 80 100
Training ships
P leasure boats
R ecreational fishing v.
Tug or Push boats
Passenger vessels
Tankers
C argo ships
Fishing vessels
(%)
Nothing W eak M oderately Strong Very strong Not clear
(n=545)
(n=201)
(n=297)
(n=47)
(n=84)
(n=36)
(n=294)
(n=22)
ACTUAL PROBLEMS OF TRANSPORT MEDICINE #4 (26), 2011
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ТРАНСПОРТНОЙ МЕДИЦИНЫ № 4 (26), 2011 г.
67
related to of “frequency of near miss
incidents”.
These results suggest that watch:
keepers have problems related to sleep
due to sleep and lifecycle characteris:
tics.
Bibliography
1. Japan Transport Safety board on 28
May 2010. (To download the report
go to the fol lowing:http://
www.mlit.go.jp/jtsb/shiphoukoku/
ship:iken2_20100528.pdf)
2. Urushidani, Shinsuke et al. 2007.
Feature extraction on ship accidents
caused by dozing watch:keepers in
judgment record of mar ine
accidents inquiry agency judgments.
The Japanese Journal of
Ergonomics 43(2):64:70.
3. Urushidani, Shinsuke et al. 2006.
Analysis on Ship’s Accidents Caused
by Dozing Watch:keepers in
Judgment Record of Mar ine
Accidents Inquiry Agency
Judgments. The Journal of Japan
Institute of Navigation 114:31:38.
4. Urushidani, Shinsuke et al. 2007.
Analysis on Ship’s Accidents Caused
by Dozing Watch:keepers in
Judgment Record of Mar ine
Accidents Inquiry Agency
Judgments:II. The Journal of Japan
Institute of Navigation 117:213:220.
5. Urushidani, Shinsuke et al. 2008.
Analysis on Ship’s Accidents Caused
by Dozing Watch:keepers in
Judgment Record of Mar ine
Accidents Inquiry Agency
Judgments : I I I . : Performing a
Cluster Analysis. The Journal of
Japan Insti tute of Navigat ion
118:115:121.
6. Johns MW. 1991. A new method for
measuring daytime sleepiness: the
Epworth sleepiness scale. Sleep
14:540:545.
Резюме
АНАЛИЗ ОСНОВНЫХ ФАКТОРОВ,
СВЯЗАННЫХ С ЗАСЫПАНИЕМ
ВАХТЕННЫХ, ПРИВОДЯЩИХ К
АВАРИЯМ НА СУДАХ В ЯПОНИИ
Синсукэ Урушидани, Тосики Кикучи,
Тосикадзу Терасава, Юджи Сано
Проведен анализ основных особен:
ностей режима труда, обусловленных не:
сением вахт на судах различных типов (су:
хогрузы, танкеры, прогулочные суда и др.)
по данным анкетирования 7750 моряков.
Установлено, что вахтенные офицеры от:
мечают наличие проблем, связанных с
различными видами нарушений сна (недо:
статочное общее время сна за сутки, на:
рушение регулярности в предоставлении
времени для сна, лишение сна во время
грузовых операций, прерывистый сон и
др.). Показано наличие достоверной вза:
имосвязи между характером сна и часто:
той инцидентов, приводящих к аварийно:
сти на флоте.
Ключевые слова: анализ аварийности,
морская авария, сон
Резюме
АНАЛІЗ ОСНОВНИХ ФАКТОРІВ,
ПОВ'ЯЗАНИХ ІЗ ЗАСИПАННЯМ
ВАХТОВИХ, ЩО ПРИЗВОДЯТЬ ДО
АВАРІЙ НА СУДНАХ В ЯПОНІЇ
Сінсуке Урушидані, Тосіко Кікучі,
Тосікадзу Терасава , Юджі Сано
Проведено аналіз основних особли:
востей режиму праці, обумовлених не:
сенням вахт на судах різних типів (сухо:
вантажі, танкери, прогулянкові судна та
ін) за даними анкетування 7750 моряків.
Встановлено, що вахтові офіцери відзна:
чають наявність проблем, пов'язаних з
різними видами порушень сну (недо:
статнє загальний час сну за добу, пору:
шення регулярності у наданні часу для
сну, позбавлення сну під час вантажних
операцій, переривчастий сон та ін.) По:
казано наявність достовірної взаємозв':
язку між характером сну і частотою інци:
дентів, що призводять до аварійності на
флоті.
Ключові слова: аналіз аварійності,
морська аварія, сон
Впервые поступила в редакцию 19.09.2011 г.
Рекомендована к печати на заседании
редакционной коллегии после рецензирования
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