Association Between Employment Status and Short Sleep Duration
Among Middle-Aged Japanese: the Survey on Time Use
and Leisure Activities
Mitsuya Maeda
1
& Ronald Filomeno
1
& Yumi Kawata
1
& Tomoyo Sato
1
& Koutatsu Maruyama
1,2
& Hiroo Wada
1
&
Ai Ikeda
1
& Takeshi Tanigawa
1
#
International Society of Behavioral Medicine 2019
Abstract
Background Short sleep duration (SSD) is reported to be highly associated with socio-economic status. There are few studies on
the relationship between employment status and SSD in Japan.
Method The authors used the 2006 Survey on Time Use and Leisure Activities conducted by the Ministry of Internal Affairs and
Communications Japan, which provides representative samples of Japanese people. The anonymous data of 120,783 people aged
3059 years were analyzed. Authors defined five categories of employment status: unemployed,”“regularly employed,”“non-
regularly employed,”“self-employed, and other. Authors also defined a sleep duration shorter than 5 h per night as SSD.
Multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of SSD using regular employment as the reference
group were calculated using the logistic regression model, adjusting for potential confounding factors, i.e., age, marital status,
education level, communication device use, and the amount of time spent on various daily activities.
Results The prevalence of SSD was 2.8% (1639/58,308) in men and 3.2% (1976/62,475) in women. The multivariable-adjusted
OR (95% CI) of SSD for the self-employed was 0.78 (0.650.92) in men and 1.78 (1.432.21) in women after adjustment for
potential confounding factors, i.e., age, marital status, education level, and communication device use. Further adjustment for the
time spent on daily activities revealed that the OR (95% CI) of SSD for the self-employed was 0.78 (0.650.92) in men and 1.89
(1.522.36) in women.
Conclusion Self-employed women had a higher prevalence of SSD. By contrast, self-employed men had a lower prevalence of
SSD.
Keywords Employment status
.
Short sleep duration
.
Sleep guidelines
.
Self-employed
Abbreviations
CI Confidence interval
MIAC Ministry of Internal Affairs and Communications
NHNSJ National Health and Nutrition Survey, Japan
OR Odds ratio
SSD Short sleep duration
STULA Survey on Time Use and Leisure Activities
US United States
Introduction
Sleep duration is an important lifestyle factor that is closely
related to health [1]. Short sleep duration (SSD) is associated
with increased risk of mortality, diabetes, cardiovascular dis-
ease, coronary heart disease, and obesity [2]. The Center for
Disease Control and Prevention has indicated that targeted
interventions are needed to increase the proportion of adults
who get sufficient sleep, because SSD is associated with ad-
verse health outcomes and decreased workplace safety [3].
Japan is one of the high-income countries with the shortest
sleep duration [4]. Sleep duration has declined consistently
* Mitsuya Maeda
maeda3231@gmail.com
* Takeshi Tanigawa
tataniga@juntendo.ac.jp
1
Present address: Department of Public Health, Juntendo University
Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku,
Tokyo 113-8421, Japan
2
Laboratory of Community Health and Nutrition, Special Course of
Food and Health Science, Department of Bioscience, Graduate
School of Agriculture, Ehime University, 3-5-7 Tarumi,
Matsuyama, Ehime 790-8566, Japan
International Journal of Behavioral Medicine
https://doi.org/10.1007/s12529-019-09807-1
over the last three decades, resulting in a loss of 3 to 4 h of
sleep per week for both male and female workers [5]. The
potential reasons for this decline include changes in various
social environments, i.e., industrialization, urbanization, com-
puterization, and the increase in shift work [6]. Many high-
income countries have experienced these social environment
changes; however, the influence on sleep duration has been
inconsistent. A previous review showed that the average sleep
duration for adults had increased in seven countries, including
Bulgaria, Poland, Canada, France, Britain, Korea, and the
Netherlands, and decreased in six countries, including Japan,
Russia, Finland, Germany, Belgium, and Austria, between the
1960s and the 2000s. Inconsistent results were found for the
United States (US) and Sweden [7].
SSD is reported to be highly associated with socio-
economic and employment status, including full-time employ-
ment, lower levels of income, and workers with nighttime or
shift work [810]. A previous study sho wed that among
Latinos living in the US, individuals with full-time employ-
ment tended to have SSD compared to the unemployed [8]. In
Korea, workers with nighttime or shift work had a higher
prevalence of SSD than subjects working during the daytime
[10]. Cultural factors specific to Japanese workers include
long working hours, which may more strongly impact sleep
duration. Indeed, Japanese males work 10 h longer and fe-
males work 7 h longer per week than Americans [5], and the
sleep duration of Japanese p eople is shorter than that of
Americans [4].
The Sleep Guidelines for Health Promotion in Japan
(revised in 2014) stated that it is crucial to have go od
sleep for the prevention and control of non-
communicable diseases, and workers should have suffi-
cient daily sleep to recover from exhaustion and to in-
crease their operational efficiency [11]. Previous studies
among Japanese middle-aged populations have shown
significant differences between people employed by
others versus those that are self-employed in risk for mor-
tality [12] and ce r eb r ova s c ul a r disease [13]. These differ-
ences could be explained by education level, marital sta-
tus, flexibility of working hours, workload, and autono-
my. How ever, there are few studies on the relationship
between employment status and SSD in Japan.
Therefore, the purpose of the present study is to examine
whether employment status is associated with SSD in the
Japanese population. Thus, authors hypothesize that
Japanese people who are regularly employed have a
higher prevalence of SSD. This hypothesis is motivated
by two reasons: (1) the working hours of people who are
regularly employed are longer than those of the non-
regularly employed and (2) t he regularly employed cannot
generally determine their own working hours.
Additionally, authors hypothesize that self-employed
women have a higher prevalence of SSD. This hypothesis
is motivated by large gender gap in the amount of time
spent on household work in Japan.
Methods
The Survey on Time Use and Leisure Activities
The Survey on Time Use and Leisure Activities (STULA) is a
comprehensive survey conducted by the Ministry of Internal
Affairs and Communications (MIAC) that employs a self-
reported questionnaire. STULA was a cross-sectional survey
conducted in Japan only and first carried out in 1976 and has
been conducted with a new sample collected every 5 years.
The STULA provides basic data to assist in the formulation of
policies aimed at maintaining a vital aging society, improving
the childcare environment, facilitating gender equality, and
enabling the use of information and communication technol-
ogy in daily life, while considering the current social environ-
ment. The STULA employs a stratified two-stage sampling
method with the Enumeration Districts (the units of the inves-
tigation area of the Population Census, which consists of
about 50 households) of the 2000 Population Census as the
first-stage sampling unit and households as the second-stage
sampling unit. The full details of the STULA are described on
the website of the MIAC [14].
Subjects
For the present a nalysis, the anonymous database for the
STULA for the year 2006 was used, as this was the latest
database provided by the MIAC. This survey was conducted
in October 2006. Authors obtained approval (No. 194) from
the MIAC to use the data under Article 36 of the statistics law
of Japan on October 27 in 2015.
This survey was conducted according to the guidelines of
the Declaration of Helsinki, and verbal informed consent was
obtained from each individual participant. Under the Statistics
Act, the MIAC anonymized individual-level data collected
from the STULA and provided the authors with the datasets
for this study. In accordance with the Ethical Guidelines of
Epidemiological Research established by the Ministry of
Education, Culture, Sports, Science and Technology and the
Ministry of Health, Labor and Welfare [15], no additional
institutional review was required.
There were 351,202 participants aged 10 years or older
included in the survey [14]. Authors analyzed participants
aged 3059 years because most of them were employed, had
finished their education, and had a relatively SSD [14].
Previous studies have reported a significant association be-
tween SSD and mortality from cardiovascular disease among
individuals aged 30 years or older [16]. After authors exclud-
ed individuals who did not report employment status (n =79),
Int.J. Behav. Med.
household income level (n = 1858), marital status (n =185),
education level (n = 1035), and communication device use
(n = 1011), the final sample used in this analysis was com-
prised of 58,308 male participants and 62,475 female partici-
pants aged 3059 years.
Assessment of Sleep Duration and Time Spent
on Daily Activities
Participants recorded the time that they spent engaged in 20
types of daily life activities (e.g., sleep duration, household
work time, nursing care time, childcare time, working time,
commuting time) in 15-min intervals for 2 days. Authors cal-
culated the average sleep duration and time spent on daily
activities for those 2 days. Previous studies have shown that
a sleep duration of fewer than 5 h increases risk of health
problems, including mortality from coronary heart disease,
cardiovascular diseases, non-cardiovascular disease/non-
cancer and all causes [17], and new-onset obesity [18].
Therefore, authors defined SSD as a sleep duration shorter
than 5 h per day.
Assessment of Employment Status
Participants were asked two questions to assess employment
status: Do you work regularly? and What is your employ-
ment status? Authors defined five categories of employment
status: unemployed,”“regularly employed,”“non-regularly
employed,”“self-employed, and other. Part-time em-
ployees and temporary workers of temporary labor supply
business establishments were included in the non-regularly
employed category. Self-employed (with employees), self-
employed (without employees), and family worker were in-
cluded in the self-employed category.
Assessment of Confounding Factors
Authors assessed the following potential confounding factors:
marital status (single, married, and divorced or widowed),
education level (junior high school or high school, junior col-
lege or technical upper secondary school, and university or
graduate school), and communication device use (yes or no).
Communication devices include mobile phones, personal
handheld phones, personal computers, or a portable informa-
tion device. A previous study showed that nighttime use of
these devices is associated with SSD [19].
Statistical Analysis
Sex-specific proportions of the age group, SSD, marital status,
education level, and communication device use factors were
calculated according to the five categories of employment
status; differences between these categories were then tested
using a chi-square test. Sleep duration and daily activity time
(household work time, nursing care time, childcare time,
working time, and commuting time) were presented as means
and standard deviations, and were tested for linear trend with a
regression model. To adjust for differences in the distribution
of time spent on daily activities, authors apportioned working
time to a fixed overwork criterion (720 min per day, which
constitute 4 h of excessive working time per day) according to
the Industrial Safety and Health Act of Japan [20, 21]. Authors
also apportioned time for daily activities (i.e., household work
time, nursing care time, childcare time, commuting time) to
the top quartile of the distributions of daily activities. Authors
calculated the proportion of the group spending the longest
time on each daily activity according to five categories of
employment status; differences in these categories were tested
using the chi-square test. As the proportion of men who spent
1 min or more on household affairs was only 15.9%, authors
apportioned the time spent on household affairs to 0, 1, to
284 min, or 285 min or more for both men and women.
As previous studies have indicated a comparable gender
difference in poor sleep [22, 23], sex-specific proportions of
SSD were calculated according to the five categories of em-
ployment status. Authors found significant effect modification
by sex on the association between self-employed status and
other status and SSD (p for interaction by sex < 0.05). The
sex-specific odds ratio (OR) and 95% confidence intervals
(CIs) of SSD for employment status with reference to the
regularly employed were calculated using multivariable logis-
tic regression analysis, adjusting for potential confounding
factors (i.e., age, marital status, education level, and commu-
nication device use), and further adjusted for the proportion of
time spent on daily activities (i.e., household work time, nurs-
ing care time, childcare time, working time, and commuting
time).
All statistical analyses were performed using SAS version
9.4 software (SAS Institute Inc., Cary, USA). All probability
values for statistical tests were two-tailed, and values of
p < 0.05 were regarded as statistically significant.
Results
The prevalence of SSD was 2.8% (1639/58,308) for men and
3.2% (1976/62,475) for women. Table 1 shows participant
characteristics stratified by the five categories of employment
status. For b oth sexes, the highest proportion of self-
employment was in the 5059-year-old age group (57.4%
for men and 53.1% for women). Overall, most people were
married, except for unemployed men. Additionally, most peo-
ple h ad completed high school and used communication
devices.
For men, the proportion of participants who spent time on
household affairs ( 1 min), childcare ( 1min),working(
Int.J. Behav. Med.
Table 1 Demographic characteristics according to employment status of 120,783 people (58,308 men and 62,475 women)
Men Women
Unemployed Regularly
employed
Non-regularly
employed
Self-
employed
Others p Unemployed Regularly
employed
Non-regularly
employed
Self-
employed
Others p
N 2914 43,739 3264 7123 1268 18,139 17,238 20,425 1922 4751
Age
3039 28.8 31.5 33.9 16.0 43.7 < 0.0001 34.2 33.2 29.0 16.6 18.1 < 0.0001
4049 20.5 32.0 22.2 26.6 28.6 24.8 32.1 34.8 30.3 29.8
5059 50.7 36.6 43.9 57.4 27.8 41.0 34.7 36.3 53.1 52.1
Short sleep
duration
Yes 1.8 3.0 3.0 2.2 2.4 < 0.0001 2.7 3.1 3.3 5.4 3.6 < 0.0001
No 98.2 97.0 97.0 97.9 97.6 97.3 96.9 96.7 94.6 96.4
Marital status
Married 38.9 81.6 51.9 84.7 61.1 < 0.0001 89.1 68.0 81.7 70.3 93.8 < 0.0001
Single 51.3 14.8 39.2 10.3 34.6 5.9 19.5 8.4 12.0 3.3
Divorced or widowed 9.9 3.6 8.9 5.0 4.3 5.1 12.6 9.9 17.6 2.9
Education level
< High school 26.0 9.3 23.0 21.1 13.3 < 0.0001 10.7 5.9 9.9 12.6 14.2 < 0.0001
High school 50.5 49.2 53.1 51.1 57.9 51.4 49.7 60.0 44.0 58.8
Junior college or technical
upper secondary school
5.5 8.7 7.0 8.3 10.3 26.8 29.2 23.2 25.0 20.6
University or graduate
school
18.1 32.8 16.9 19.5 18.6 1 1.1 15.3 7.0 18.4 6.4
Usage of communication
device
Yes 63.8 94.5 81.9 90.8 85.8 < 0.0001 79.1 93.0 87.5 86.6 76.3 < 0.0001
No 36.3 5.5 18.1 9.2 14.2 20.9 7.0 12.5 13.4 23.7
Sleep duration (min) 498 ± 117 462 ± 104 476 ± 120 462 ± 88 465 ± 98 < 0.0001 446 ± 89 438 ± 93 435 ± 86 430 ± 90 425 ± 80 < 0.0001
A time for daily activi ty
(min)
House affairs 47 ± 96 14 ± 52 21 ± 65 11 ± 45 10 ± 46 < 0.0001 258 ± 153 138 ± 132 190 ± 136 168 ± 143 205 ± 138 < 0.0001
Nursing care 7 ± 50 1 ± 16 1 ± 19 2 ± 19 2 ± 18 < 0.0001 9 ± 51 3 ± 28 4 ± 29 7 ± 46 6 ± 38 < 0.0001
Childcare 5 ± 37 10 ± 50 4 ± 28 4 ± 28 6 ± 38 < 0.0001 59 ± 129 20 ± 75 17 ± 64 15 ± 59 21 ± 75 < 0.0001
Working 13 ± 71 345 ± 300 318 ± 267 401 ± 260 397 ± 264 < 0.0001 4 ± 36 276 ± 263 205 ± 213 265 ± 233 254 ± 230 < 0.0001
Communting 2 ± 13 37 ± 50 40 ± 53 24 ± 47 17 ± 39 < 0.0001 0 ± 7 27 ± 39 23 ± 35 13 ± 31 7 ± 23 < 0.0001
Proportion of a time for
daily activi ty
Household affairs (0 min) 65.3 84.9 80.7 87.6 90.8 < 0.0001 6.5 21.9 1 1.2 16.6 10.2 < 0.0001
30.5 14.2 17.8 11 .7 8.7 51.2 63.8 65.5 63.8 61.7
Int.J. Behav. Med.
720 min), and commuting ( 30 min) was lower for the self-
employed than for the regularly employed (12.5%, 4.1%,
8.1%, and 30.2% re spec tively for the self-employed, a nd
15.1%, 7.6%, 9.3%, and 48.9% respectively for the regularly
employed).
For women, the proportion of participants who spent time
on household affairs ( 285 min), nursing care ( 1 min), and
working ( 720 min) was higher for the self-employed than
for the regularly employed (19.6%, 4.8%, and 2.7% respec-
tively for the self-employed and 14.3%, 3.2%, and 2.1% re-
spectively for the regularly employed).
Table 2 shows the age-adjusted and multivariable-adjusted
ORs (95% CIs) of SSD according to the four categories of
employment status with regular employment as the reference
group. The age-adjusted OR (95% CI) of SSD for the self-
employed was 0.77 (0.620.92) in men. By contrast, the age-
adjusted OR (95% CI) of SSD for the self-employed was 1.79
(1.442.22) in women. Even after adjusting for potential con-
founding factors (i.e., marital status, education level, and com-
munication device use), the significance remained. The
multivariable-adjusted OR (95% CI) of SSD for self-
employed men was 0.78 (0.650.92). On the other hand, the
OR for self-employed women was 1.78 (1.432.21).
Further adjustment for daily activity duration resulted in
the following ORs (95% CIs) of SSD for self-employment
with regular employment as the reference group: 0.78 (0.65
0.92) in men and 1.89 (1.522.36) in women.
Discussion
The primary focus of this study was to describe the variation
in the prevalence of SSD by employment status using the
STULA database. Self-employed women had a higher preva-
lence of SSD with regular employment as the reference group.
By contrast, self-employed men had a lower prevalence of
SSD with regular employment as the reference group. After
adjusting for confounding factors, including time spent on
other daily activities, this association did not substantially
change; the proportion of men and women with SSD still
differed significantly. Further adjustment for time spent on
other daily activities revealed that females with non-regular
employment and other employment had a higher prevalence
of SSD with regular employment as the reference group. In
addition, the unemployed had a significantly lower prevalence
of SSD with regular employment as the reference group, but
the significance diminished even after adjusting for time spent
on other daily activities.
Authors hypothesized that the regularly employed would
have a higher prevalence of SSD for both men and women. In
the present study, authors found that self-employed men had a
significantly lower prevalence of SSD with regular employ-
ment as the reference group. Additionally, authors
Tab l e 1 (continued)
Men Women
Unemployed Regularly
employed
Non-regularly
employed
Self-
employed
Others p Unemployed Regularly
employed
Non-regularly
employed
Self-
employed
Others p
Household affairs
(1 min to 284)
Household affairs
(285 min or ov er)
4.2 0.9 1.5 0.8 0.6 42.3 14.3 23.3 19.6 28.1
Nursing care (0 min) 96.7 98.9 98.5 98.5 98.4 < 0.0001 93.8 96.8 96.6 95.2 94.6 < 0.0001
Nursing care (1 min or over) 3.3 1.1 1.4 1.5 1.6 6.2 3.2 3.5 4.8 5.4
Childcare (0 min) 97.0 92.4 97.1 95.9 94.8 < 0.0001 73.0 88.2 88.1 89.7 87.2 < 0.0001
Childcare (1 min or over) 3.1 7.6 2.9 4.1 5.2 27.1 11.8 11.9 10.3 12.8
Working (under 720 min) 99.9 90.7 95.0 91.9 92.7 < 0.0001 100.0 97.9 99.6 97.3 97.5 < 0.0001
Working (720 min or over) 0.1 9.3 5.0 8.1 7.3 0.0 2.1 0.4 2.7 2.5
Commuting (under 30 min) 98.3 51.1 50.1 68.9 76.3 < 0.0001 99.5 57.8 59.9 79.6 88.2 < 0.0001
Commuting (30 min or over) 1.7 48.9 49.9 30.2 23.7 0.6 42.2 40.2 20.4 1 1.9
Data were shown as percent except for no. of persons, sleep duration, and a time for daily activity. Sleep duration and a time for daily activity were presented as mean and standard deviation and were tested
linear trend by regression model
Int.J. Behav. Med.
hypothesized that self-employed women would have a signif-
icantly higher prevalence of SSD with regular employment as
the reference group, and the results of this survey confirmed
this hypothesis. One explanation for this finding was the large
gender gap in the amount of time spent on household work,
with wives devoting many hours to both gainful employment
and household work, especially among the self-employed
couples [28].
The distribution of time spent on daily activities differed
among the five employment statuses in men and women.
Therefore, authors adjusted for the time spent on daily activ-
ities. Even after this adjustment, the ORs of SSD for the self-
employed across both sexes remained significantly different.
Results from the American Time Use Survey suggested that
self-employed respondents obtained significantly more sleep,
had significantly lower odds of SSD ( 6-h sleep), and had
higher odds of long sleep duration ( 11-h sleep) compared to
private sector employees on weekdays because they had more
flexibility in their work hours [24]. Our findings for men were
consistent with this US study. Ohida et al. indicated that the
highest percentage of SSD ( 6-h sleep) was found in the 40
49 age group among women due to domestic responsibilities,
such as taking care of children and housekeeping [9]. Doi et al.
noted that being married or living with a family was protective
against excessive daytime sleepiness for men, but women
were more likely to suffer from excessive daytime sleepiness
than women without a family to care for or women living
alone [25]. In 34 high-income countries, there was a consid-
erable imbalance in the household division of labor, where
women completed the majority of housework. Japanese mar-
ried men especially performed an overwhelmingly small share
of housework compared to men in other countries [26, 27].
Mizunoya used data from the 2001 STULA survey for mar-
ried couples with one or more children and found that hus-
bands worked over 9 h per weekday, while only about one
tenth participated in household work and that wives devoted
many hours to both gainful employment and household work
[28].
Authors also confirmed that short duration sleepers worked
significantly more hours than non-short sleepers, regardless of
sex (data are not shown). The proportion of self-employed
women working 720 min was 2.7%, and this value was
higher than those of other employment categories. Although
the association between the self-employed status and the prev-
alence of SSD was independent of the number of hours
worked, the reasons for self-employed women having a high
prevalence of SSD could be a heavy burden of duties and
longer working time.
Honjo et al. indicated that self-employed women had a
higher risk of death than women employed full-time. The
hypothesized benefits of being self-employed, such as job
discretion and choice of working hours, may not be beneficial
for self-employed females in Japan [12]. Fujino et al. indicated
Table 2 Age and multivariable adjusted odds rations (ORs) and 95% confidence intervals (CIs) of the short sleep duration
Men Women
Unemployed Regularly
employed
Non-
regularly
employed
Self-
employed
Others Unemployed Regularly
employed
Non-
regularly
employed
Self-
employed
Others
N 2914 43,739 3264 7123 1268 18,139 17,238 20,425 1922 4751
N of the short sleep duration 52 1307 97 153 30 483 542 542 104 173
(%)* (1.8) (3.0) (3.0) (2.1) (2.4) (2.7) (3.1) (3.1) (5.4) (3.6)
Age-adjusted OR 0.62 1.00 1.01 0.77 0.76 0.86 1.00 1.04 1.79 1.18
(95% CI) (0.470.82) (0.821.25) (0.620.92) (0.531.09) (0.760.98) (0.76-0.98) (0.931.17) (1.442.22) (0.991.41)
Multivariable-adjusted OR
#
0.64 1.00 1.02 0.78 0.76 0.89 1.00 1.05 1.78 1.23
(95% CI) (0.480.86) (0.821.27) (0.650.92) (0.531.10) (0.781.01) (0.941.18) (1.432.21) (1.031.47)
Multivariable-adjusted OR
#
Further adjusted for the
proportion of a time for daily
0.86 1.00 1.13 0.78 0.76 0.98 1.00 1.15 1.89 1.30
(95% CI) (0.631.15) (0.911.40) (0.650.92) (0.521.10) (0.851.14) (1.021.30) (1.522.36) (1.081.56)
*Proportion of short sleep duration amon g persons by employment status
#
Adjusted for age, marital status, education level, and communication device use
Int.J. Behav. Med.
that self-employed men showed a significantly lower risk of
death from cerebrovascular disease compared to regularly
employed men after adjusting for possible confounding fac-
tors, but no association was identified among women [13].
Although authors could not directly compare these results to
those of the present study since the reference groups were
different, both studies indicated that self-employed women
were less likely to have the health-related advantages that their
male counterparts enjoyed.
Above all, this finding suggests that the reasons that self-
employed women have a high prevalence of SSD could be a
higher domestic responsibility of care for children or parents,
excessive time spent on household affairs, or a lack of benefits
from self-employment, such as job discretion and choice of
working hours.
In the present study, the OR of SSD for non-regularly
employed women was significantly higher after adjusting for
confounding factors. Honjo et al. indicated that part-time
workers were more likely to experience harmful health effects
compared to full-time workers among middle-aged Japanese
women; this association was stronger among less-educated
and unmarried women [12].
In the present study, the self-reported prevalence of SSD in
people aged 3059 years (2.8% in men and 3.2% in women,
respectively) was lower than the prevalence found in the 2006
National Health and Nutrition Survey, Japan (NHNSJ)
targeting the same generation (6.9% in men and 7.6% in wom-
en) [29]. This discrepancy may be due to differences in sample
sizes, study subjects, sampling methods, and data collection. It
is likely that our study is more representative than the NHNSJ,
since the number of study subjects (approximately 350,000)
was much higher than that of the NHNSJ (approximately
8000). Furthermore, participants in the STULA recorded the
time spent on 20 types of life activities, e.g., sleep duration, in
15-min intervals for 2 days in a similar manner to keeping a
diary. By contrast, participants of the NHNSJ reported their
average sleep duration for the past month. The discrepancy
between the results may be due to diffe rences in th e
questioning methods. Campanini et al. indicated that sleep
diaries and actigraphy showed moderate or good agreement
when assessing several sleep parameters in a highly educated
population [30]. A Japanese study noted that sleep diaries
might assess wakefulness status more accurately than
actigraphy when the movements of the participant are slow
on awakening [31].
Another reason for the differences between these results is
that there may be reporting biases in the present study as a
self-reporting method was adopted by the STULA. However,
Wetter et al. indicated that self-reported data on sleep status
show at least moderate agreement with data from laboratory
studies [32]. Lauderdale et al. reported longer self-reported
sleep durat ions compared with sleep durations determined
by actigraphy, suggesting that there is at least some degree
of error or variance in the estimation of self-reported sleep
duration [33].
Given that the sleep category for the STULA included a
wide range of terms that may not involve physiological sleep
(e.g., falling asleep, dozing off, napping, getting up, waking
up), it is suggested that the STULA sleep times overestimated
the actual physiological sleep obtained by respondents per
24 h. This may have contributed to the longer estimated sleep
durations and to the lower prevalence of SSD in people aged
3059 years in this study compared to the results of other
population-based studies.
Furthermore, the STULA asked individuals to report only
2days worth of activities. This timeframe is potentially not
representative of their average day-to-day lifestyle because
there might be intraindividual variability. One study showed
a high variability of sleep duration among adults [34]. Thus,
the recorded timeframe of this study may not represent an
individuals habitual life. On the other hand, the STULA
may have fewer differences than other statistics on working
hours, e.g., the Basic Research of the Work Structure (MIAC)
and Labor Force Survey (MIAC) [35]. Additionally, the sam-
ple size of this survey is large. Thus, data for this study are
more representative of the general population than the data of
other population-based surveys.
Authors analyzed participants aged 3059 years of age.
One of the reasons why we considered those ages as represen-
tative of adults was that the proportions of the population
attending school were 20.7%, 1.8%, and 0.5% or under in
the 2024, 2529, and 30
59 years age groups, respectively,
ac
cording to the 2005 Population Census [36]. Another reason
was that the group of participants aged 3059 years had rela-
tively short sleep duration; average sleep durations were 7 h
and 5 min to 33 min, although the average sleep duration for
all participants was 7 h and 42 min in the 2006 STULA [14].
The last reason was that most of the studies reported a signif-
icant association between SSD and mortality from cardiovas-
cular disease among individuals aged more than 30 years old
[16]. Authors also confirmed the association between employ-
ment status and SSD within the participants aged 2059 years
old, and the only difference between this group and the par-
ticipants aged 3059 years old was that non-regularly
employed men had a higher prevalence of SSD; however,
the results did not differ significantly (data are not shown).
In the present study, authors used anonymous data derived
from the STULA, covering approximately 80,000 households
and randomly sampled household members (approximately
200,000 persons). A strength of the present study is the use
of a large sample size of 3059-year-old adults, which repre-
sents a national sample. This study is one of a few large-scale
investigations to examine the association between employ-
ment status and the prevalence of SSD where the sampling
represents the Japanese population. To date, only a few studies
have examined the association between employment statuses,
Int.J. Behav. Med.
especially for the self-employed, and sleep duration in the
Asian region.
There are several limitations in the present study. First,
because the study design was cross-sectional, authors could
not determine any causal relationship between self-
employment and SSD. Authors cannot be certain that sleep
duration is reduced by an increase d working time or vice
versa.
Second, there was no information on health status (even
height and weight) or history of chronic diseases in the
STULA; thus, it was not possible to evaluate how the time
used for sleep, work, and other activities related to body mass
index and morbidity from chronic diseases, e.g., cardiovascu-
lar diseases and cancer, which may impact sleep duration.
Although a regular intake of pharmaceutical drugs, such as
sleeping pills and antidepressants, is known to affect sleep
quantity as well as quality, authors could not consider phar-
maceutical status in our analyses due to a lack of information.
However, the influence of health status and diseases may be
small because the participants of the present study were rela-
tively young. Further, future longitudinal follow-up and bio-
logical studies will help evaluate the long-term effects of ad-
verse sleep duration on health.
Third, there was no information on the level of employ-
ment (full time or part time) or the field of employment in the
self-employed status (self-employed with employee, family
worker, and self-employed without employee); thus, it was
not possible t o speculate the relationship between self-
employment status and SSD.
Fourth, available social supp ort from cowo rkers or
family members may be different from self-employed
with employee,”“family worker, and self-employed
without employee. As for the differences in these three
types of self-employment status, the size of the group was
comparatively small (1922 people) for women; authors
therefore did not consider this group in this study.
Further studies with larger samples are needed to deter-
mine the effect of three types of self-employm ent s tatus
on sleep duration.
Lastly, the previous study indicated that industrialization,
urbanization, and widespread utilization of information tech-
nology have resulted in an increase of various patterns of shift
work [18]. Another study indicated that shortened sleep was
one of the many health -rela ted effects of shift work [37].
However, there were no questions about whether the respon-
dents routinely engaged in night work or shift work in the
STULA. Further studies are needed to investigate the associ-
ation of shift work with SSD.
Despite these limitations, the cross-sectional analysis of a
large-scale, population-based cohort is significant. Authors
were able to d etermine the characteristics associate d with
SSD by assessing a wide range of sociodemographic factors
and lifestyles.
Healthcare professionals should take measures to ensure
self-employed women utilize the Sleep Guidelines for
Health Promotion [14]. These guidelines suggest that getting
sufficient sleep is an important consideration for good work-
ing form for the working generation, but they do not recom-
mend sleep guidance based on employment status, which may
be especially relevant for self-employed women.
The present study provided epidemiological evidence for
the association between self-employed status and SSD in
women. It is important to consider employment status when
the healthca re worker provides sleep guidance. The Sleep
Guidelines for Health Promotion should be revised based on
employment status, especially focusing on self-e mploye d
women in the future.
Acknowledgments This work was performed at Juntendo University
Graduate School of Medicine, Japan.
Compliance with Ethical Standards
Conflict of Interest The authors declare that they have no conflict of
interest.
Ethical Approval This survey was conducted according to the guidelines
laid down in the Declaration of Helsinki, and verbal informed consent
was obtained from each individual participant. Under the Statistics Act,
the Ministry of Internal Affairs and Communications Japan anonymized
individual-level data collected from the Survey on Time Use and Leisure
Activities and provided the authors with the datasets for this study. In
accordance with the Ethical Guidelines of Epidemiological Research
established by the Ministry of Education, Culture, Sports, Science and
Technology and the Ministry of Health, Labour and Welfare, no addition-
al institutional review was required.
References
1. Cappuccio FP, D'Elia L, Strazzullo P, Miller MA. Sleep duration
and all-cause mortality: a systematic review and meta-analysis of
prospective studies. Sleep. 2010;33(5):58592. https://doi.org/10.
1093/sleep/33.5.585.
2. Itani O, Jike M, Watanabe N, Kaneita Y. Short sleep duration and
health outcomes: a systematic review, meta-analysis, and meta-re-
gression. Sleep Med. 2017;32:24656. https://doi.org/10.1016/j.
sleep.2016.08.006.
3. Centers for Disease Control and Prevention. Short sleep duration
among workersUnited States, 2010. MMWR Morb Mortal Wkly
Rep. 2012;61(16):2815.
4. Organisation for Economic Co-operation and Development.
Society at a Glance 2009: OECD social indicators. OECD
Publishing 2008 pp.28.
5. Kuroda S. Do Japanese work shorter hours than before? Measuring
trends in market work and leisure using 19762006 Japanese time-
use survey. J Japanese Int Economies. 2010;24(4):481502.
6. Honda M, Genba M, Kawakami J, Nishizono-Maher A. A sleep
and life-style survey of Japanese high school boys: factors associ-
ated with frequent exposure to bright nocturnal light. Sleep Biol
Rhythms. 2008;6(2):1109.
7. BinYS MNS, Glozier N. Secular trends in adult sleep duration: a
systematic review. Sleep Med Rev. 2012;16(3):22330.
Int.J. Behav. Med.
8. Patel SR, Sotres-Alvarez D, Castañeda SF, Dudley KA, Gallo LC,
Hernandez R, et al. Social and health correlates of sleep duration in
a US Hispanic population: results from the Hispanic Community
Health Study/Study of Latinos. Sleep. 2014;38(10):151522.
https://doi.org/10.5665/sleep.5036.
9. Ohida T, Kamal AM, Uchiyama M, Kim K, Takemura S, Sone T,
et al. The influence of lifestyle and health status factors on sleep loss
among the Japanese general population. Sleep. 2001;24(3):3338.
https://doi.org/10.1093/sleep/24.3.333.15.
10. Ryu SY, Kim KS, Han MA. Factors associated with sleep duration
in Korean adults: results of a 2008 community health survey in
Gwangju metropolitan city, Korea. J Korean Med Sci. 2011;26(9):
112431. https://doi.org/10.3346/jkms.2011.26.9.1124.
11. Noda H. The Japanese Governments good sleep challenge: sleep
guidelines for health promotion 2014. J Epidemiol. 2015;25(4):
33940. https://doi.org/10.2188/jea.JE20140217.
12. Honjo K, Iso H, Ikeda A, Fujino Y, Tamakoshi A. Employment
situation and risk of death among middle-aged Japanese women. J
Epidemiol Community Health. 2015;69(10):10127. https://doi.
org/10.1136/jech-2015-205499.
13. Fujino Y, Iso H, Tamakoshi A, Inaba Y, Koizumi A, Kubo T, et al. A
prospective cohort study of employment status and mortality from
circulatory disorders among Japanese workers. J Occup Health.
2005;47(6):5107.
14. Ministry of Internal Affairs and Communications, Survey on Time
Use and Leisure Activities, http://www.stat.go.jp/engl ish/data/
shakai/. (Accessed August 18, 2018.)
15. Ministry of Education, Culture, Sports, Science, and Technology,
Ministry of Health, Labour and Welfare. Ethical Guidelines for
Medical and Health Research Involving Human Subjects. Tokyo:
Ministry of Education, Culture, Sports, Science, and Technology
and Ministry of Health, Labour and Welfare. https://www.mhlw.go.
jp/file/06-Seisakujouhou-10600000-3
Daijinkanboukouseikagakuka/0000080278.pdf (Accessed August
18, 2018.)
16. Cappuccio FP, Cooper D, D'Elia L, Strazzullo P, Miller MA. Sleep
duration predicts cardiovascular outcomes: a systematic review and
meta-analysis of prospective studies. Eur Heart J. 2011;32(12):
148492.
17. Ikehara S, Iso H, Date C, Kikuchi S, Watanabe Y, Wada Y, et al.
Association of sleep duration with mortality from cardiovascular
disease and other causes for Japanese men and women: the JACC
study. Sleep. 2009;32(3):295301.
18. Itani O, Kaneita Y, Murata A, Yokoyama E, Ohida T. Association of
onset of obesity with sleep duration and shift work among Japanese
adults. Sleep Med. 2011;12(4):3415.
19. Chahal H, Fung C, Kuhle S, Veugelers PJ. Availability and night-
time use of electronic entertainment and communication devices are
associated with short sleep duration and obesity among Canadian
children. Pediatr obes. 2013;8(1):4251.
20. Article 66-9 of Industrial Safety and Health Act, http://www.
japaneselawtranslation.go.jp/law/detail/?ft=1&re=01&dn=1&co=
01&ia =03&x=38&y=13&ky=%E5%8A%B4%E5%83%8D%
E5%AE%89%E5%85%A8%E8%A1%9B%E7%94%9F%E6%
B3%95&page=19. Accessed May 2, 2018.
21. General Guidebook on Industrial Safety http://www.jniosh.go.jp/
icpro/jicosh-old/english/publication/gernalguidebook/2006edition.
pdf. Accessed May 2, 2018.
22. Arber S, Bote M, Meadows R. Gender and socio-economic pattern-
ing of self-reported sleep problems in Britain. Soc Sci Med.
2009;68(2):2819. https://doi.org/10.1016/j.socscimed.2008.10.016.
23. Zhang B, Wing YK. Sex differences in insomnia: a meta-analysis.
Sleep. 2006;29(1):8593.
24. Basner M, Spaeth AM, Dinges DF. Sociodemographic characteris-
tics and waking activities and their role in the timing and duration of
sl
eep. Sleep. 2014;37(12):1889906. https://doi.org/10.5665/sleep.
4238.
25. Doi Y, Minowa M. Gender differences in excessive daytime sleep-
iness among Japanese workers. Soc Sci Med. 2003;56(4):88394.
26. Fuwa M, Tsutsui J. A cross-national comparison of the perceived
fairness of the division of household labor. Kazoku Shakaigaku
Kenkyu (Japanese Journal of Family Sociology). 2010;22(1):52
63 (in Japanese).
27. Tsutsui J. Female labor participation and the sexual division of
labor: a consideration on the persistent male-breadwinner model.
Japan Labor Review. 2016;13(3):80100 15.
28. Mizunoya T. Allocation structure of gainful work time and time use
from a gender perspective: a study of the Japanese situation using
statistical data (overwork: social policy for work and life balance in
Japan). Shakai-seisaku Gakkai-shi (The Journal of social policy and
labor studies). 2006;15:1932 (in Japanese).
29. Ministry of Health, Labour and Welfare, Summary Results of the
National Health and Nutrition Survey Japan 2006. (in Japanese)
http://www.mhlw.go.jp/bunya/kenkou/eiyou08/01.html. Accessed
May 2, 2018.
30. Campanini MZ, Lopez-Garcia E, Rodríguez-Artalejo F, González
AD, Andrade SM, Mesas AE. Agreement between sleep diary and
actigraphy in a highly educated Brazilian population. Sleep Med.
2017;35:2734. https://doi.org/10.1016/j.sleep.2017.04.004.
31. Tsutsumi M, Kobayashi T, Kageyama T. Usefulness of sleep log in
sleep/awake assessment of frail elderly people: a comparison with
simultaneous recorded actigraphy. Nihon Kango Kenkyu Gakkai
Zasshi (Japanese Journal of Nursing Research). 2012;35(4):839
(in Japanese).
32. Wetter DW, Young TB. The relation between cigarette smoking and
sleep disturbance. Prev Med. 1994;23(3):32834. https://doi.org/
10.1006/pmed.1994.1046.
33. Lauderdale DS, Knutson KL, Yan LL, Rathouz PJ, Hulley SB,
Sidney S, et al. Objectively measured sleep characteristics among
early-middle-aged adults: the CARDIA study. Am J Epidemiol.
2006;164(1):516. https://doi.org/10.1093/aje/kwj199.
34. Becker SP, Sidol CA, Van Dyk TR, Epstein JN, Beebe DW.
Intraindividual variability of sleep/wake patterns in relation to child
and adolescent functioning: a systematic review. Sleep Med Rev.
2017;34:94121.
35. Kuroda S. Long-term transition of life time. NihonRoudouKenkyu
Zasshi (The Japanese journal of labour studies). 2010;599:5364
(in Japanese).
36. Ministry of Internal Affairs and Communications, Population of
Japan (final report of the 2005 Population Census) https://www.
stat.go.jp/english/data/kokusei/2005/nihon/index.html. Accessed
March 24, 2019.
37. Åkerstedt T. Shift work and disturbed sleep/wakefulness. Occup
Med (Lond). 2003;53(2):8994.
PublishersNote Springer Nature remains neutral with regard to juris-
dictional claims in published maps and institutional affiliations.
Int.J. Behav. Med.