Skip to main content
Journal of Epidemiology logoLink to Journal of Epidemiology
. 2018 Oct 5;28(10):407–413. doi: 10.2188/jea.JE20170100

Parental Internet Use and Lifestyle Factors as Correlates of Prolonged Screen Time of Children in Japan: Results From the Super Shokuiku School Project

Masaaki Yamada 1, Michikazu Sekine 1, Takashi Tatsuse 1
PMCID: PMC6143380  PMID: 29576604

Abstract

Background

Prolonged screen time (ST), which includes TV viewing and gaming on smartphones and computers, is linked to poor health. Our aim was to explore the associations between school children with prolonged ST and parental internet use (IU) and lifestyles in Japan.

Methods

Children aged 6 to 13 years from the Super Shokuiku School Project, were surveyed using questionnaires in 2016. The survey assessed the grade, sex, and lifestyle of 1,659 children and parental internet use (IU) and lifestyle using Breslow’s seven health behaviors. IU consisted of internet surfing and gaming on personal computers (PC), smartphones, or consoles. Three or more hours of ST was defined as prolonged ST, and its correlates were analyzed using logistic regression.

Results

Of all, 643 (38.8%) children spent ≥2 hours/day of ST on a week day, whilst 153 (9.2%) children spent ≥3 hours/day. Prolonged ST was significantly associated with children in higher grade (odds ratio [OR] 1.74; 95% confidence interval [CI], 1.20–2.51), boys (OR 2.16; 95% CI, 1.49–3.14), skipping breakfast (OR 1.88; 95% CI, 1.05–3.35), late bedtime (OR 1.80; 95% CI, 1.15–2.82), physical inactivity (OR 1.79; 95% CI, 1.12–2.87), father’s IU ≥2 hours/day (OR 2.35; 95% CI, 1.52–3.63), mother’s prolonged IU ≥2 hours/day (OR 2.55; 95% CI, 1.43–4.52), mothers with unhealthy behaviors (OR 1.81; 95% CI, 1.05–3.13), no rule setting governing screen time (OR 2.41; 95% CI, 1.63–3.58), and mothers with full-time employment (OR 1.95; 95% CI, 1.06–3.64).

Conclusions

Prolonged ST among Japanese children was strongly associated with parental IU, no set rules for ST, and mother’s unhealthy lifestyles. To reduce children’s ST, parental engagement is warranted in the intervention strategy.

Key words: internet, screen time, parent, Super Shokuiku School Project, food education

INTRODUCTION

New information and communication technologies have become common for children and adults in Japan. A 2016 white paper from Japan’s Ministry of Internal Affairs and Communications indicated that the average time of TV viewing for Japanese adults was about 3 hours/day, and internet use was about 1.5 hours/day in 2015.1 While the length of time for viewing TV remains unchanged, that of internet use among adult has been increasing steadily (from 71.6 in 2012 to 90.4 minutes in 2015).1 Although the use of these media are becoming essential for children and adults, there have been a number of reports on the harmful effects of prolonged screen time (ST) in children,2 which includes viewing of videos and TV, gaming on consoles or smartphones, and internet use (IU). In 2004, The Japanese Pediatric Association proposed to parents that ST be reduced in all growing children to nurture wholesome family relationships.3

Prolonged ST in children has been associated with unfavorable health and social outcomes, such as obesity,4,5 physical inactivity,6 aggressive behaviors,7,8 and poor academic achievement.9 Given these health implications, understanding modifiable factors that contribute to reducing ST among children is essential. From previous research, children’s age, parent’s long hours of TV viewing, and no rule setting for ST at home have been found to be clearly associated with prolonged ST among children.1012 Therefore, a relationship between parents and children was assessed, and family-based interventions were recommended, to decrease ST in children.13 However, many reports of ST correlates, which may lead to practical interventions, have not considered the relationship with the general lifestyle of the parents. Moreover, these studies have been conducted in western countries. Research about modifiable correlates of ST of children is insufficient in Japan.

The exponential growth in different types of screen technologies, and IU on smartphones or tablet PCs are increasingly being viewed as detrimental factors for children.3 To date, it is well known that parents’ lifestyles associate with those of their children and are crucial risk factors for their children’s health outcomes.1416 An online survey by the Japanese government about IU in the youth reported that the average time of parental IU was almost 2 hours/day, highlighting that 35.1% of all parents spent 2 or more hours daily on IU.17 However, the impact of parental IU on child health or behavior has not been fully surveyed. We hypothesized that parental IU, as well as general lifestyles, might have strong associations with prolonged ST in children. Given the rapid technological development, and increase in the time spent on the internet, more recent data are needed to determine modifiable correlates of prolonged ST.

The purpose of our study was to report children’s ST from a recent survey and to explore correlates of prolonged ST among elementary school children in Japan.

METHODS

Participants and the Super Shokuiku School Project

The Super Shokuiku School Project is a food education project which was supported by Japan’s Ministry of Education, Culture, Science and Technology (MEXT).18,19 The overall purposes of the project were to promote healthy lifestyles in school children and improve their health through food education, appreciation of food producers, and participation in farming events. The project was evaluated using repeated questionnaire surveys before and after food education. The baseline survey (Phase 1) was conducted before food education, in May 2014. The follow-up surveys were conducted after food education, in December 2014 (Phase 2) and January 2016 (Phase 3). We obtained detailed information on media use and parental lifestyle factors from phase 3 and conducted a cross-sectional study to assess family relationships and health behaviors. Participants were 2,129 children aged 6 to 13 years who belonged to 5 elementary schools in Takaoka city, Japan. Twenty children were excluded due to illiteracy in Japanese of their parents. A total of 1,987 children agreed to participate in our survey and returned the questionnaires (response rate: 94.2%). The survey was approved by the Ethics Committee of the University of Toyama. Written informed consent was obtained from the participants’ parents, and participation was voluntary.

Questionnaire

The children and their parents completed questionnaires and returned the questionnaires to their schools. The questionnaires for children queried information on sex, grade, food knowledge, total ST on a week day, other lifestyles, and self-rated health. Questionnaires for parents included assessment of their own lifestyles, time of IU at home on a weekday, perceived family affluence, and parents’ employment status.

Children’s lifestyle and obesity

Lifestyles (breakfast, physical activity, ST, rules that limit ST with parents, and sleep habits) and health status of children were assessed. Responses to breakfast were coded into two groups as follows: ‘having breakfast every day’ or ‘sometimes to usually skipping breakfast’. Physical activity was divided into three levels: ‘very often’, ‘often’, or ‘rarely to almost never’. We asked the total ST on a weekday, which included TV and DVD viewing; gaming on smartphone, computers, or consoles; and IU. Answers on ST were categorized from 1 to 6, as follows: 1, no or almost no ST; 2, <1 hr; 3, 1 hr to <2 hr; 4, 2 hr to <3 hr; 5, 3 hr to <4 hr; and 6, ≥4 hr. Children were then divided into three groups: ‘<2 hr’, ‘2 hr to <3 hr’, or ‘≥3 hr’. Referring to a report from the Japan Pediatric Association, which recommends a restriction of total ST to within 2 hours a day,3 we defined ‘≥3 hr of ST’ as prolonged ST. We also asked whether a rule has been set to limit ST (yes or no). Response to bedtime was categorized into three groups: ‘<10:00 p.m.’, ‘10:00 p.m. to <10:30 p.m.’, or ‘≥10:30 p.m.’. Following reports that the average bedtimes for Japanese elementary school children were 9:44 p.m. for grade 3 and 10:04 p.m. for grade 6,20 we defined ‘≥10:00 p.m.’ as late bedtime for children in grade 1 to 3, while ‘≥10:30 p.m.’ was defined as late for grade 4 to 6. The validity of the lifestyle questionnaire that assessed physical activity and sleep was examined in our previous study.21 In that study, frequent physical activity was significantly correlated with increased energy expenditure, mean step, and mean activity count per day on the Actiwatch (P < 0.05 for a liner trend test). The correlation coefficient between subjective and objective records was 0.97 (P < 0.001) for assumed amount of sleep.22

We requested children’s height and weight from parents, which were measured in January 2016 by trained school nurses at their schools. The health screen is performed on an annual basis in April, September, and January according to the School Health Law. The percentage of obesity is usually assessed in the School Health Statistics Research in Japan.23 Age-, sex-, and height-based ideal body weight (BW; kg) was calculated based on the data from the national statistics,23 from which the percentage of deviance from the ideal BW was calculated ((individual BW − ideal BW)/ideal BW). The percentage of obesity was reported to have strong correlation with BMI Z score (R2 = 0.957 for boys and 0.949 for girls).24 Children who are more than 20 percentage over their ideal BW are regarded as obese in Japan, which Isoshima et al reported to be almost equivalent to those above the 95th percentile of their age- and sex-specific BMI.24

Parental lifestyle, employment status, family affluence and internet use

To assess general parental lifestyles, Breslow’s seven good health-related behaviors25 were used. These comprise seven indicators of good health: (1) adequate sleep time, (2) no smoking, (3) appropriate weight control, (4) not drinking excessively, (5) regular physical activity, (6) no skipping of breakfast, and (7) not frequently snacking. Breslow’s seven good health-related behaviors are widely accepted in western countries.25 The higher the number of healthy behaviors practiced, the lower the morbidity; additionally, mortality rates are lower for people who practice the seven health behaviors. In our study, the total number of behaviors out of the seven showed a normal distribution among parents. Therefore, we divided parents into three groups based on the number of behaviors: low (0–3), middle (4–5), and high (6–7). The higher the number, the healthier the participant. Parental employment status was categorized into three groups: full-time, part time, or unemployed. Regarding socioeconomic status (SES), we asked parents about their perceived family affluence. The responses to the question were divided into three categories: ‘affluent’, ‘neither’, or ‘not affluent’. Finally, we asked the total time for parental IU at home on a weekday. The time for parental IU was divided into two categories of ‘<2 hr’ or ‘≥2 hr’ based on the report that the average time spent on the internet by Japanese adults in their thirties was about one and a half hours in 2015.1

Statistical analysis

Taking children’s grade (age) difference for lifestyles and ST into consideration, we divided children into two groups, lower (1–3) and higher (4–6) grades, for descriptive data. Chi-squared test was performed to compare variables by groups. Then, to assess the between-school (cluster) variance in children’s ST, interclass correlation (ICC) was calculated with the six categories of ST defined as continuous variables. Finally, univariate and multivariate logistic regression analyses were conducted to evaluate the strength of the associations of the lifestyle of children and parents with prolonged ST, using the forced entry methods. Father’s employment status was excluded from the regression analysis because almost all the fathers were full-time workers (99.5%). The odds ratios (OR) and 95% confidence intervals (CI) were calculated. Analyses were conducted using the statistical package for social scientists (SPSS) version 22.0 J (SPSS, Chicago, IL, USA). A two-tailed P-value of less than 0.05 was considered statistically significant.

RESULTS

Out of 1,987 who returned their questionnaires, 1,659 school children (78.7%; 828 boys and 831 girls) who answered all the questionnaire items relevant to the present study were included in our analyses. About 40% of children (n = 643) spent ≥2 hr/day on ST, and 9.2% (n = 153) spent ≥3 hr/day. There was no significant difference in sex, obesity, parental IU, numbers of health behaviors, or perceived family affluence between children in lower (1–3) and higher (4–6) grades. However, children in higher grades were more likely to skip breakfast, go to bed late, and have prolonged ST, while children in lower grades were more likely to be physically active and have unemployed mothers (Table 1). ICC in children’s ST was only 4.6%.

Table 1. Characteristics of children by grade (n = 1,659).

  Low (1st–3rd)
n = 824
High (4th–6th)
n = 835
 

Age, years, mean (SD)   7.9 (0.87) 11.0 (0.85) P value
    n % n %
Sex Boy 414 50.2 414 49.5 0.806

Breakfast Skipping 36 4.4 71 8.5 <0.001

Bedtime, p.m. <10 732 88.8 448 53.7 <0.001
10≤ to <10:30 73 8.9 262 31.3  
≥10:30 19 2.3 125 15.0  

Physical activity Very often 233 28.3 238 28.5 <0.001
Often 403 48.9 332 39.7  
Rarely or almost never 188 22.8 265 31.8  

Obesity Obese 67 8.1 64 7.6 0.715

Father’s IU at home, h/day ≥2 123 14.9 116 13.9 0.576

Mother’s IU at home, h/day ≥2 45 5.5 48 5.8 0.831

Father’s health behaviors in Breslow’s High (6–7) 196 23.8 163 19.5 0.080
Middle (4–5) 337 40.9 375 45.0  
Low (0–3) 291 35.5 297 35.5  

Mother’s health behavior in Breslow’s High (6–7) 235 28.5 215 25.7 0.129
Middle (4–5) 445 54.0 458 354.9  
Low (0–3) 144 17.5 162 19.4  

Rule setting to restrict ST No 137 16.6 161 19.3 0.160

Father’s employment status Fulltime 821 99.6 829 99.3
Part time 1 0.1 2 0.2  
Unemployed 2 0.2 4 0.5  

Mother’s employment status Fulltime 326 39.6 344 41.2 0.010
Part time 355 43.1 389 46.6  
Unemployed 143 17.4 102 12.1  

Perceived Family Affluence Affluent 233 28.3 224 26.9 0.793
Neither 391 47.5 400 48.0  
No affluent 200 24.3 211 25.2  

Children’s ST, h/day <2 542 65.8 474 56.8 <0.001
2≤ to <3 229 27.8 261 31.2  
≥3 53 6.4 100 12.0  

IU, Internet use; ST, screen time.

P values in Pearson’s chi-square test were shown.

In Table 2, logistic regression analyses were performed to determine the strength of association of the lifestyle of children and parents with prolonged ST in children. For univariate analysis, children in higher grades (OR 1.98; 95% CI, 1.40–2.18), being a boy (OR 1.78; 95% CI, 1.27–2.51), skipping breakfast (OR 2.63; 95% CI, 1.58–4.37), late bed time (OR 2.45; 95% CI, 1.64–3.65), physical inactivity (OR 2.15; 95% CI, 1.39–3.33), both father’s and mother’s IU for ≥2 hr/day (OR 2.92; 95% CI, 2.00–4.26 for father’s and OR 4.39; 95% CI, 2.70–7.16 for mother’s), mothers with low Breslow’s behaviors (OR 2.99; 95% CI, 1.87–4.80), no rule setting to limit ST at home (OR 2.64; 95% CI, 1.84–3.78), mothers with full-time employment status (OR 1.87; 95% CI, 1.05–3.32), and no family affluence (OR 1.62; 95% CI, 1.02–2.59) were associated with prolonged ST in children. In multivariate analysis, children in higher grades (OR 1.74; 95% CI, 1.20–2.51), being a boy, (OR 2.16; 95% CI, 1.49–3.14), skipping breakfast (OR 1.88; 95% CI, 1.05–3.35), late bed time (OR 1.80; 95% CI, 1.15–2.82), physical inactivity (OR 1.79; 95% CI, 1.12–2.87), both father’s and mother’s IU for ≥2 hr/day (OR 2.35; 95% CI, 1.52–3.63 for father’s and OR 2.55; 95% CI, 1.43–4.52 for mother’s), mothers with low Breslow’s behaviors (OR 1.81; 95% CI, 1.05–3.13), no rule setting to limit ST at home (OR 2.41; 95% CI, 1.63–3.58), and mother with full-time employment status (OR 1.96; 95% CI, 1.06–3.64) were significantly associated with prolonged ST. The association between family affluence and prolonged ST seen in univariate analysis was not observed in the multivariate analysis.

Table 2. Logistic regression analysis on children’s prolonged ST (n = 1,659).

    ST 3 h/day or more
(%)
univariate multivariate


OR 95% CI OR 95% CI
Grade High (4–6th) (/Low) 12.0/6.4 1.98*** 1.40–2.81 1.74** 1.20–2.51

Sex Boy (/Girl) 11.4/6.9 1.78*** 1.27–2.51 2.16*** 1.49–3.14

Breakfast Skipping (/No Skip) 19.6/8.5 2.63*** 1.58–4.37 1.88* 1.05–3.35

Bedtime, p.m. Later bed time
(/Low grader for <10,
High grader for <10:30)
17.5/8.0 2.45*** 1.64–3.65 1.80** 1.15–2.82

Physical activity Very often 7.2 1   1  
Often 7.4 1.02 0.65–1.59 0.94 0.59–1.50
Rarely or almost never 14.3 2.15*** 1.39–3.33 1.79** 1.12–2.87

Obesity Obese (/Non-Obese) 13.1/8.9 1.54 0.90–2.64 1.32 0.72–2.42

Father’s IU at home, h/day ≥2 (/<2) 19.2/7.5 2.92*** 2.00–4.26 2.35*** 1.52–3.63

Mother’s IU at home, h/day ≥2 (/<2) 28.0/8.1 4.39*** 2.70–7.16 2.55*** 1.43–4.52

Father’s health behaviors in Breslow’s High (6–7) 8.4 1   1  
Middle (4–5) 7.6 0.90 0.57–1.43 0.77 0.47–1.28
Low (0–3) 11.8 1.46 0.93–2.29 0.94 0.56–1.59

Mother’s health behavior in Breslow’s High (6–7) 6.7 1   1  
Middle (4–5) 7.6 1.16 0.74–1.80 0.90 0.55–1.45
Low (0–3) 17.6 2.99*** 1.87–4.80 1.81* 1.05–3.13

Rule setting to restrict ST No (/Yes) 17.4/7.4 2.64*** 1.84–3.78 2.41*** 1.63–3.58

Mother’s employment status Full time 10.9 1.87* 1.05–3.32 1.96* 1.06–3.64
Part time 8.7 1.46 0.82–2.61 1.47 0.79–2.75
Unemployed 6.1 1   1  

Perceived Family Affluence Affluent 7.2 1   1  
Neither 9.4 1.33 0.87–2.03 1.08 0.68–1.71
No affluent 11.2 1.62* 1.02–2.59 1.07 0.64–1.79

CI, confidence interval; IU, internet use; OR, odds ratio; ST, screen time.

*: P < 0.05, **: P < 0.01, ***: P < 0.001.

Table 3 shows the association between parental IU and each health behavior, and children’s prolonged ST. Improper weight control, no regular exercise and frequent snacking were behaviors of the fathers found to be associated with prolonged ST in univariate analysis, however, these associations were not observed in the multivariate analysis. On the other hand, mother’s behaviors, except frequent snacking, were associated with prolonged ST in the univariate analysis, whilst the significant associations of inadequate sleep (OR 1.45; 95% CI, 1.01–2.07) and excessive drinking (OR 2.30; 95% CI, 1.32–4.01) was observed in the multivariate analysis. Both parental IU were strongly associated with children’s prolonged ST (OR 1.22; 95% CI, 0.79–1.90 for 1 to <2 hr/day and OR 2.29; 95% CI, 1.45–3.60 for ≥2 hr/day in father’s IU; OR 1.54; 95% CI, 0.99–2.38 for 1 to <2 hr/day and OR 3.51; 95% CI, 1.99–6.20 for ≥2 hr/day in mother’s IU).

Table 3. Associations of parental IU and lifestyles with children’s prolonged ST (n = 1,659).

    ST 3 h/day or more
(%)
univariate multivariate


OR 95% CI OR 95% CI
Father’s IU at home, h/day <1 6.7 1   1  
1 ∼ <2 9.6 1.48 0.98–2.24 1.22 0.79–1.90
≥2 19.2 3.32*** 2.21–4.97 2.29*** 1.45–3.60

Mother’s IU at home, h/day <1 6.9 1   1  
1 ∼ <2 13.1 2.02** 1.35–3.01 1.54 0.99–2.38
≥2 28.0 5.12*** 3.15–8.59 3.51*** 1.99–6.20

Father’s health behaviors in Breslow’s
(not good/good behavior)
Adequate sleep (no/yes) 9.1/9.3 0.98 0.70–1.37 0.75 0.52–1.08
Smoking (yes/no) 10.8/8.0 1.39 0.99–1.94 1.16 0.80–1.69
Proper weight control (no/yes) 11.2/8.0 1.46* 1.04–2.04 1.07 0.74–1.54
Excessive drinking (yes/no) 10.7/8.8 1.24 0.85–1.82 0.94 0.62–1.42
Regular exercise (no/yes) 10.3/6.9 1.56* 1.06–2.30 1.35 0.82–2.05
Skipping breakfast (yes/no) 10.8/8.6 1.27 0.89–1.83 0.96 0.64–1.43
Snacking often (yes/no) 11.2/7.9 1.48* 1.06–2.07 1.02 0.70–1.50

Mother’s health behaviors in Breslow’s
(not good/good behavior)
Adequate sleep (no/yes) 11.5/7.4 1.62** 1.16–2.27 1.45* 1.01–2.07
Smoking (yes/no) 15.4/8.4 1.98** 1.27–3.08 1.41 0.84–2.35
Proper weight control (no/yes) 12.3/7.9 1.65* 1.17–2.32 1.04 0.71–1.52
Excessive drinking (yes/no) 20.4/8.4 2.78*** 1.66–4.63 2.30** 1.32–4.01
Regular exercise (no/yes) 10.1/5.9 1.79* 1.11–2.89 1.57 0.96–2.55
Skipping breakfast (yes/no) 13.5/8.5 1.72* 1.12–2.64 1.17 0.72–1.89
Snacking often (yes/no) 9.8/8.5 1.17 0.84–1.64 0.92 0.64–1.32

CI, confidence interval; IU, internet use; OR, odds ratio; ST, screen time.

*: P < 0.05, **: P < 0.01, ***: P < 0.001.

Mother’s employment status and perceived family affluent were adjusted in multivariate analysis.

DISCUSSION

Our results showed that about 10% of children spent 3 or more hours of total ST on a weekday, which was less prevalent than in the national survey reporting that 34.0% of children spent 3 or more hours on TV and DVD viewing,26 and that parental IU and rule setting at home were strongly associated with children’s ST. These associations were stronger than that of children’s sex, age, and lifestyle. Moreover, we observed an association between mother’s lifestyle and children’s ST. These findings could help health practitioners and media researchers who work with children to understand modifiable factors that contribute to reducing ST among children.

Internet use

Previous literature has shown a significant relationship between screen-based behaviors of both parents and children,1012,27 much of which focused mainly on TV viewing. We used parental IU instead of TV viewing because of the following three reasons: First, IU requires much more attention of users than TV viewing does. Second, the 2016 white paper from Japan’s Ministry of Internal Affairs and Communications reported that the average time of TV viewing among those aged in their 30s was decreasing year by year, while their average time spent on IU was steadily increasing.1 Third, it seems difficult to co-view smart media and communicate with other family members because the screen size is usually smaller than that of TV. Moreover, parental IU is especially thought to be a detrimental factor in Japan’s modern society,3 where multiple devices for IU, including the smart phone, have become dramatically more common in recent years. The percentage of people owning a smart phone among Japanese was 9.7% in 2002, a rate which soared up to 72.0% in 2015. Nowadays, 83.0% of Japanese are reported to connect to the internet.1 For these reasons, we hypothesized that parental IU would have strong impact on their children’s ST. To the best of our knowledge, this is the first research to explore the association between parental IU and children’s ST in Japan. Both mother’s and father’s parental IU were strongly associated with prolonged ST in children, even after adjusting for children’s lifestyle factors. A plausible explanation of the association may be modeling effect, rather than co-viewing. Parents who use internet longer do not give children another model of how to spend their leisure time and may displace the time that children would otherwise spend engaged in emotional communications with their parents. In fact, children of parents who spent 2 or more hours on IU reported less communication in their family than that of parents spending less than 2 hours (data are not shown). We should treat parental IU as a critical factor for reducing children’s ST.

Rule setting

In our study, an existence of rule to limit children’s ST was found to be significantly associated with fewer reports of prolonged ST. This corresponds with other research.1012,28 We found that the majority of children (82.0%) had a rule with their parents to restrict total ST. This percentage was higher than other previous reports, such as 60.9% in the United States,27 36.1% in the Czech Republic and Slovakia,12 and about 50% in China.11 Japanese health practitioners should continuously recommend more families to apply this kind of restriction at home.

Basic characteristics, lifestyle, and obesity

Other studies have shown that being a boy, an older age, physical inactivity, unhealthy dietary behaviors, sleep problems, and obesity were associated with prolonged ST in children.10,11,2932 In line with these results, we found significant associations between prolonged ST and being a boy, children in higher grades, physical inactivity, skipping breakfast, and late bed time. Although several previous reports have shown obesity to be associated with ST,29,3335 there was no significant relationship between prolonged ST and obesity in our study. This may be due to the much lower prevalence of obesity in our study (7.8%) compared with others; prevalence of obesity was 23.7% in Irish and 53.8% in Iranian children in other studies.34,35

Mother’s unhealthy lifestyle, which was assessed using the Breslow’s seven health-related behaviors, was associated with prolonged ST in children. From the specific analysis of parental lifestyle, children of mothers who did not have adequate sleep, smoked, drank excessively, and did not exercise regularly were more likely to have prolonged ST. On the other hand, father’s health behaviors were not associated with prolonged ST in children. Our results were in line with the previous literature from Sekine et al.15 They reported that children’s unhealthy lifestyles, such as skipping breakfast, inadequate physical activity, and prolonged TV viewing, were associated with mother’s obesity but not with father’s obesity. A plausible explanation about the difference may be that mothers have played a key role in rearing children in Japan. This is one of the few limited studies to clarify the relationship between parental lifestyle and children’s prolonged ST. It is important for health providers and guardians of children to consider mother’s lifestyle, as well as children’s own lifestyle, in the reduction of ST in children.

SES and parental employment status

The association between SES and ST in children remains unclear,10 although negative associations have been observed in developed countries (children in higher SES had less ST),31,36 while positive associations have been observed in developing countries.35 In our study, we found a significant relationship in the univariate analysis, which was not observed in the multivariate model. This difference may have resulted from the method of analyses. Previous researches, which were conducted in the United Kingdom and Australia, did not include parental and children’s lifestyle and media.31,36 Thus, these lacking factors may have a strong influence on children’s ST, rather than SES.

We also found a significant relationship with mother’s employment status. Compared to mothers who are unemployed or with part-time jobs, those with full-time employment were likely to let their children have long ST. Our results supported previous studies that showed association between unhealthy children’s lifestyle and mother’s longer work schedule.15,37 Magee et al showed that children of mothers working ≥45 hr/week had later bed time and higher OR of short sleep hours. Sekine et al pointed out that children of mothers working full-time were more likely to watch TV for longer hours, had frequent snacks, and went to bed late.15 In our study, children of mothers working part time did not show a significant increase in ST compared to children with unemployed mothers. Duration of hours of work of parents may influence children’s lifestyle. However, we cannot insist that mothers should work less in the current society in Japan, where a growing number of mothers are full-time workers. This may be impossible for many families and could have adverse influences, such as loss of income; however, what counts is to recognize the children’s lifestyle activity and lessen any negative effect on children, by providing playgrounds, daycare centers with physically active games, and tutoring from sufficient staff or health practitioners.

Study strengths and limitations

To the best of our knowledge, this is the first study to examine the strength of associations of prolonged ST in school children with their lifestyle, as well as parental IU and lifestyle, in Japan. We found that both parents IU and rule setting had stronger relationships with prolonged ST in children than children’s lifestyle did. Thus, interventions for reducing ST among children must involve parents as well as children. Guardians and childcare staff should be educated on the importance of limiting length of time of parental IU, and of rule setting in reducing ST in children.

Our study has some limitations. First, our study design was cross-sectional, so we were not able to infer causation. However, reverse causality, in which children’s prolonged ST led to longer parental IU, is unlikely. Limiting parental IU may be a plausible intervention for prolonged ST in children. Second, questionnaires could not reflect the actual lifestyle and anthropometry data. Children might report their lifestyles better than they actually led according to social expectation. This kind of bias could occur among parents as well. The national data conducted in 2014 reported that about 35% of parents of elementary school children spent 2 or more hours in IU a day.17 Our questionnaire might not reflect the actual time duration. Objective date will be needed in future study, especially about time, such as ST and IU. Third, our questionnaire asked only the total ST for children and IU for their parents. To focus on recreational use, time spent on studying for children or working for parents should have been divided. Fourth, our study did not include potential factors, such as number of TVs in a household, the existence of a TV, game or other media in child’s bedroom, parental TV viewing, and children’s characteristics, such as attentional abilities and self-regulation behaviors.38,39 Future studies are needed to test the association or effect of these factors. Finally, our research restricted the participants to dual-parent families to assess both parent’s IU and lifestyle. We could not explore single-parent families. Given our results, children of a single mother working longer may have longer ST than in a dual-parent family. Further studies that include single-parent families are also needed for child health promotion.

Conclusions

The present study provides data about correlates of prolonged ST among Japanese elementary school children. Parental IU and rule setting have stronger relationships with prolonged ST in children than children’s own lifestyle, such as skipping breakfast, late bedtime, and physical inactivity. In addition, mother’s unhealthy lifestyle correlates strongly with prolonged ST in children. In Japan, where the social trend of people owning and spending time on smartphones or tablet PC is increasing, health practitioners and guardians of children should be informed about these results. The engagement of parents in creating a healthier family environment is warranted as an intervention strategy for reducing ST in children.

ACKNOWLEDGMENTS

We express our great appreciation to all children and their parents participating in this study. We are indebted to the principals and school nurses in the five elementary school in Toyama Prefecture for their help and co-operation in the study. We also acknowledge for Toyama Prefecture and Takaoka City Education Committee for admitting our study implement and their help.

Conflicts of interest: None declared.

Author contribution: M.Y designed, distributed questionnaires, collected, analyzed the data, and wrote the manuscript. M.S supervised, designed, collected and consulted mainly with the Education Committee. M.S and T.T provided technical supports and conceptual advice. All authors read and approved the final manuscript.

REFERENCES

  • 1.White Paper 2016. Information and Communication Japan. Ministry of Internal Affair and Communications Japan [updated 2016 Feb; Cited 2017 July 12]. Available from: http://www.soumu.go.jp/johotsusintokei/whitepaper/ja/h28/html/nc252510.html (in Japanese).
  • 2.Biddle SJ, Gorely T, Marshall SJ, Murdey I, Cameron N. Physical activity and sedentary behaviours in youth: issues and controversies. J R Soc Promot Health. 2004;124(1):29–33. 10.1177/146642400312400110 [DOI] [PubMed] [Google Scholar]
  • 3.Proposal for Children’s Media Use. The Japan Pediatric Association [updated 2004 Feb; Cited 2017 Apr 19]. Available from: http://jpa.umin.jp/download/media/proposal02.pdf (in Japanese).
  • 4.Mark AE, Janssen I. Relationship between screen time and metabolic syndrome in adolescents. J Public Health (Oxf). 2008;30(2):153–160. 10.1093/pubmed/fdn022 [DOI] [PubMed] [Google Scholar]
  • 5.Gortmaker SL, Must A, Sobol AM, Peterson K, Colditz GA, Dietz WH. Television viewing as a cause of increasing obesity among children in the United States, 1986–1990. Arch Pediatr Adolesc Med. 1996;150(4):356–362. Review. 10.1001/archpedi.1996.02170290022003 [DOI] [PubMed] [Google Scholar]
  • 6.Andersen RE, Crespo CJ, Bartlett SJ, Cheskin LJ, Pratt M. Relationship of physical activity and television watching with body weight and level of fatness among children: results from the Third National Health and Nutrition Examination Survey. JAMA. 1998;279(12):938–942. 10.1001/jama.279.12.938 [DOI] [PubMed] [Google Scholar]
  • 7.Huesmann LR, Moise-Titus J, Podolski CL, Eron LD. Longitudinal relations between children’s exposure to TV violence and their aggressive and violent behavior in young adulthood: 1977–1992. Dev Psychol. 2003;39(2):201–221. 10.1037/0012-1649.39.2.201 [DOI] [PubMed] [Google Scholar]
  • 8.Johnson JG, Cohen P, Smailes EM, Kasen S, Brook JS. Television viewing and aggressive behavior during adolescence and adulthood. Science. 2002;295(5564):2468–2471. 10.1126/science.1062929 [DOI] [PubMed] [Google Scholar]
  • 9.Borzekowski DL, Robinson TN. The remote, the mouse, and the no. 2 pencil: the household media environment and academic achievement among third grade students. Arch Pediatr Adolesc Med. 2005;159(7):607–613. 10.1001/archpedi.159.7.607 [DOI] [PubMed] [Google Scholar]
  • 10.Hoyos Cillero I, Jago R. Systematic review of correlates of screen-viewing among young children. Prev Med. 2010;51(1):3–10. 10.1016/j.ypmed.2010.04.012 [DOI] [PubMed] [Google Scholar]
  • 11.Jiang XX, Hardy LL, Ding D, Baur LA, Shi HJ. Recreational screen-time among Chinese adolescents: a cross-sectional study. J Epidemiol. 2014;24(5):397–403. Epub 2014 Jun 14. 10.2188/jea.JE20140006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Brindova D, Pavelka J, Ševčikova A, et al. How parents can affect excessive spending of time on screen-based activities. BMC Public Health. 2014;14:1261. 10.1186/1471-2458-14-1261 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Community Preventive Services Task Force reducing children’s recreational sedentary screen time: recommendation of the Community Preventive Services Task Force. Am J Prev Med. 2016;50(3):416–418. 10.1016/j.amepre.2015.09.014 [DOI] [PubMed] [Google Scholar]
  • 14.Liu J, Sekine M, Tatsuse T, Hamanishi S, Fujimura Y, Zheng X. Family history of hypertension and the risk of overweight in Japanese children: results from the Toyama Birth Cohort Study. J Epidemiol. 2014;24(4):304–311. Epub 2014 May 24. 10.2188/jea.JE20130149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Sekine M, Yamagami T, Kagamimori S. Lifestyle and childhood obesity: results from the Toyama Birth Cohort Study. Ped Cardiol Card Surg. 2008;24(5):589–597. [Google Scholar]
  • 16.Birbilis M, Moschonis G, Mougios V, Manios Y; Healthy Growth Study’ group . Obesity in adolescence is associated with perinatal risk factors, parental BMI and sociodemographic characteristics. Eur J Clin Nutr. 2013;67(1):115–121. 10.1038/ejcn.2012.176 [DOI] [PubMed] [Google Scholar]
  • 17.Environment of Internet Use for Youth. Online government survey 2014 [updated 2015 Feb; Cited 2017 Apr 19]. Available from: http://www8.cao.go.jp/youth/youth-harm/chousa/h27/net-jittai/pdf/sokuhou.pdf (in Japanese).
  • 18.The Super Shokuiku Project. Ministry of Education, Culture, Science and Technology in Japan (MEXT) [updated 2016 Apr; Cited 2017 Apr 19]. Available from; http://www.mext.go.jp/a_menu/sports/syokuiku/1353368.htm (in Japanese).
  • 19.Nakahori N, Sekine M, Yamada M, Tatsuse T. The relationship between home environment and children’s dietary behavors, lifestyle factors, and health: Super Food Education School Project by the Japanese Ministry of Education, Culture, Sports, Science and Technology. Nihon Koshu Eisei Zasshi. 2016;63(4):190–201 (in Japanese). [DOI] [PubMed] [Google Scholar]
  • 20.Nihon Kodomo Katei Sougoukennkyuusyo. Almanac of data on Japanese children 2016. Tokyo, Japan: KTC chuoshuppann (in Japanese). [Google Scholar]
  • 21.Chen X, Sekine M, Hamanishi S, et al. Validation of a self-reported physical activity questionnaire for schoolchildren. J Epidemiol. 2003;13:278–287. 10.2188/jea.13.278 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Gaina A, Sekine M, Chen X, Hamanishi S, Kagamimori S. Sleep parameters recorded by Actiwatch in elementary school children and junior high school adolescents: schooldays vs weekends. Sleep Hypn. 2004;6:65–76. [Google Scholar]
  • 23.Manual for Health Check among school children, revised version. Nihon Gakko Hokenkyoukai. Tokyo; Nihon Gakko Hokenkyoukai; 2006 (in Japanese). [Google Scholar]
  • 24.Ishosima G, Naiki Y, Horikawa R, Yokoya S, Tanaka T. Correlation between Body Mass Index z score and percent obesity in Japanese children in Akita prefecture. Himankenkyu. 2008;14(2):159–165. [Google Scholar]
  • 25.Berkman LF, Breslow L. Health and ways of living. New York: Oxford University Press; 1983. [Google Scholar]
  • 26.National Assessment of Academic Ability. 2008. National Institute for Education Policy Research [updated 2009 Mar; Cited 2017 July 5]. Available from: http://www.mext.go.jp/b_menu/shingi/chousa/shotou/053/shiryo/__icsFiles/afieldfile/2009/03/09/1236114_3.pdf (in Japanese).
  • 27.Bleakley A, Jordan AB, Hennessy M. The relationship between parents’ and children’s television viewing. Pediatrics. 2013;132(2):e364–e371. Epub 2013 Jul 15. 10.1542/peds.2012-3415 [DOI] [PubMed] [Google Scholar]
  • 28.Jago R, Edwards MJ, Urbanski CR, Sebire SJ. General and specific approaches to media parenting: a systematic review of current measures, associations with screen-viewing, and measurement implications. Child Obes. 2013;9(Suppl):S51–S72. 10.1089/chi.2013.0031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.LeBlanc AG, Broyles ST, Chaput JP, et al. Correlates of objectively measured sedentary time and self-reported screen time in Canadian children. Int J Behav Nutr Phys Act. 2015;12:38. 10.1186/s12966-015-0197-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Iannotti RJ, Kogan MD, Janssen I, Boyce WF. Patterns of adolescent physical activity, screen-based media use, and positive and negative health indicators in the U.S. and Canada. J Adolesc Health. 2009;44(5):493–499. 10.1016/j.jadohealth.2008.10.142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Ogunleye AA, Voss C, Sandercock GR. Delayed bedtime due to screen time in schoolchildren: importance of area deprivation. Pediatr Int. 2015;57(1):137–142. 10.1111/ped.12447 [DOI] [PubMed] [Google Scholar]
  • 32.Barradas DT, Fulton JE, Blanck HM, Huhman M. Parental influences on youth television viewing. J Pediatr. 2007;151(4):369–373.e1–4. Epub 2007 Aug 24. 10.1016/j.jpeds.2007.04.069 [DOI] [PubMed] [Google Scholar]
  • 33.Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8:98. 10.1186/1479-5868-8-98 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Keane E, Li X, Harrington JM, Fitzgerald AP, Perry IJ, Kearney PM. Physical activity, sedentary behaviour and the risk of overweight and obesity in school aged children. Pediatr Exerc Sci. 2017;29(3):408–418. 10.1123/pes.2016-0234 [DOI] [PubMed] [Google Scholar]
  • 35.Moradi G, Mostafavi F, Azadi N, Esmaeilnasab N, Nouri B. Evaluation of screen time activities and their relationship with physical activity, overweight and socioeconomic status in children 10–12 years of age in Sanandaj, Iran: A cross-sectional study in 2015. Med J Islam Repub Iran. 2016;30:448. eCollection 2016. [PMC free article] [PubMed] [Google Scholar]
  • 36.Bell L, Ullah S, Olds T, Magarey A, Leslie E, Jones M, et al. Prevalence and socio-economic distribution of eating, physical activity and sedentary behaviour among South Australian children in urban and rural communities: baseline findings from the OPAL evaluation. Public Health. 2016;140:196–205. Epub 2016 Aug 11. 10.1016/j.puhe.2016.06.022 [DOI] [PubMed] [Google Scholar]
  • 37.Magee CA, Caputi P, Iverson DC. Are parents’ working patterns associated with their child’s sleep? An analysis of dual-parent families in Australia. Sleep Biol Rhythms. 2012;10:100–108. 10.1111/j.1479-8425.2011.00530.x [DOI] [Google Scholar]
  • 38.Levine EL, Waite MB. Television viewing and attentional abilities in fourth and fifth grade children. J Appl Dev Psychol. 2000;21(6):667–679. 10.1016/S0193-3973(00)00060-5 [DOI] [Google Scholar]
  • 39.Inoue S, Yorifuji T, Kato T, Sanada S, Doi H, Kawachi I. Children’s media use and self-regulation behavior: longitudinal associations in a nationwide Japanese study. Matern Child Health J. 2016;20(10):2084–2099. 10.1007/s10995-016-2031-z [DOI] [PubMed] [Google Scholar]

Articles from Journal of Epidemiology are provided here courtesy of Japan Epidemiological Association

RESOURCES