Background
School closure is a non-pharmaceutical intervention for infection control. School closure is known to include “proactive closure” and “reactive closure”, the former of which is thought to be especially effective in suppressing virus transmission [
1]. In Japan, the government required schools to be closed for approximately one week simultaneously at the beginning of the 2009 influenza (H1N1) pandemic [
2]. Many schools in several other countries were also closed to minimize spread of the virus [
3,
4]. Although school closures were thought to limit the spread and transmission of infection, the optimal durations and timings of school closure remain unclear [
3,
4]. As school closure is affected by several environmental and individual factors, these associations should be clarified.
Parental and student behavior are thought to have affected the effectiveness of school closure during the 2009 influenza (H1N1) pandemic [
2]. Several studies [
5‐
10] investigated the behavior of students and parents during school closure and reported that some students had engaged in out-of-home activities and some parents had taken leave from work in 2009. The proportions of these behaviors varied among reports, and the factors underlying the variations in parental and student behavior remain unclear. It is important to clarify which factors influence parental and student behavior to evaluate the effectiveness of school closure as an infection control measure.
Here, we conducted a cross-sectional questionnaire survey to clarify the associations between household background factors and parental behaviors. A hypothetical pandemic influenza situation was presented with questions about parental attitudes and probable behaviors, including “caring for the child”, “taking leave from work”, and “permitting out-of-home activities”.
Results
Questionnaires were returned by the parents of 1711 of the 2146 children (response rate: 79.7%) and 1510 were included in the analysis after excluding 201 with incomplete responses. A comparison of characteristics between complete and incomplete responders revealed some differences. The rate of complete responses was significantly lower in “special education needs school (
P =0.036)” in school affiliation factor and in “other than both working (
P <0.001)” in type of work factor, however, other factors showed no differences. Of these complete answers, 1485 households (98.3%) had work activity, and both parents were working in 921 (61.0%) households. Table
1 shows the associations between the household background factors and three attitudes and acceptable duration of school closure. The attitude “caring for the child” was reported in 1118 (74.0%) households and was significantly different among school affiliations. We checked the residuals to compare the frequency of answers and “yes” responses were significantly greater in kindergarten and elementary schools. In addition, this attitude was also significantly associated with type of work activity and family structure. The attitude “taking leave from work” was reported in 507 (33.6%) households and was significantly different among school affiliations. We also checked the residuals to compare the frequency of answers and “yes” responses were significantly prominent in elementary schools. In addition, it was also associated with the type of work activity. The attitude “permitting out-of-home activities” was reported in 943 (62.5%) households and was associated with school affiliation and having an older sibling. Although not statistically significant (
P =0.051), awareness of the technical term for school closure tended to be associated with this attitude. The acceptable duration of school closure differed according to type of work activity, family structure, and awareness of the technical term for school closure.
Table 1
Associations between household background factors and parental attitudes
School affiliation | | | | | | | | | | | | | | | | | | | | |
| Kindergarten | 68 | 1 | (1.5) | 67 | (98.5) | <0.001 | 60 | (88.2) | 8 | (11.8) | <0.001 | 22 | (32.4) | 46 | (67.6) | 0.013 | 5 | 3 | 7 | 0.183 |
| Elementary school | 723 | 137 | (18.9) | 586 | (81.1) | | 458 | (63.3) | 265 | (36.7) | | 247 | (34.2) | 476 | (65.8) | | 4 | 3 | 5 | |
| Junior high school | 686 | 249 | (36.3) | 437 | (63.7) | | 468 | (68.2) | 218 | (31.8) | | 288 | (42.0) | 398 | (58.0) | | 4 | 3 | 5 | |
| Special education needs school | 33 | 5 | (15.2) | 28 | (84.8) | | 17 | (51.5) | 16 | (48.5) | | 10 | (30.3) | 23 | (69.7) | | 3 | 2 | 5 | |
Type of work activity | | | | | | | | | | | | | | | | | | | | |
| Other than both working | 589 | 11 | (1.9) | 578 | (98.1) | <0.001 | 507 | (86.1) | 82 | (13.9) | <0.001 | 210 | (35.7) | 379 | (64.3) | 0.224 | 5 | 3 | 7 | <0.001 |
| Both working* | 921 | 381 | (41.4) | 540 | (58.6) | | 496 | (53.9) | 425 | (46.1) | | 357 | (38.8) | 564 | (61.2) | | 3 | 3 | 5 | |
Family structure | | | | | | | | | | | | | | | | | | | | |
| Nuclear family | 1297 | 373 | (28.8) | 924 | (71.2) | <0.001 | 872 | (67.2) | 425 | (32.8) | 0.101 | 476 | (36.7) | 821 | (63.3) | 0.093 | 4 | 3 | 5 | 0.037 |
| Family including grandparent or others | 213 | 19 | (8.9) | 194 | (91.1) | | 131 | (61.5) | 82 | (38.5) | | 91 | (42.7) | 122 | (57.3) | | 5 | 3 | 7 | |
Having older sibling | | | | | | | | | | | | | | | | | | | | |
| No | 919 | 229 | (24.9) | 690 | (75.1) | 0.250 | 604 | (65.7) | 315 | (34.3) | 0.472 | 321 | (34.9) | 598 | (65.1) | 0.009 | 4 | 3 | 6 | 0.331 |
| Yes | 591 | 163 | (27.6) | 428 | (72.4) | | 399 | (67.5) | 192 | (32.5) | | 246 | (41.6) | 345 | (58.4) | | 4 | 3 | 5 | |
Awareness of technical term for school closure | | | | | | | | | | | | | | | | | | | |
| No | 1346 | 352 | (26.2) | 994 | (73.8) | 0.627 | 901 | (66.9) | 445 | (33.1) | 0.225 | 494 | (36.7) | 852 | (63.3) | 0.051 | 4 | 3 | 5 | 0.027 |
| Yes | 164 | 40 | (24.4) | 124 | (75.6) | | 102 | (62.2) | 62 | (37.8) | | 73 | (44.5) | 91 | (55.5) | | 5 | 3 | 7 | |
To evaluate the effect of household background factor for parental attitude, odds ratios of factors were determined by using logistic regression analysis. Moreover, several factors showed significant effects simultaneously, multivariate analysis was used to adjust for background factors (Table
2). As no significant internal correlations were found between variables, all variables were used in multivariate analysis. As a result, the proportion of responses to “caring for child” was lower in households with children in junior high school (OR =0.11, 95% CI 0.01-0.86,
P =0.035), but higher in “family including grandparent(s) or other relatives” (OR =7.50, 95% CI 4.53-12.44,
P <0.001). “Leave from work” was higher in families with children in elementary school (OR =2.28, 95% CI 1.03-5.01,
P =0.041), special educational needs school (OR =3.18, 95% CI 1.10-9.22,
P =0.033), and with “both parents working” (OR =5.74, 95% CI 4.33-7.60,
P <0.001). The rate of “permitting out-of-home activities” was significantly lower in families responding “yes” to “having older siblings” (OR =0.74, 95% CI 0.59-0.91,
P =0.005) and tended to be lower in those with “awareness of the technical term for school closure” (OR =0.73, 95% CI 0.52-1.01,
P =0.056).
Table 2
Effects of household factors on parental attitudes
School affiliation | | | | | | | | | | | | | | | | | | | | | | | | | |
| Kindergarten | 68 | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
| Elementary school | 723 | 0.06 | 0.01 | 0.46 | 0.007 | 0.23 | 0.03 | 1.80 | 0.160 | 4.34 | 2.04 | 9.22 | <0.001 | 2.28 | 1.03 | 5.01 | 0.041 | 0.92 | 0.54 | 1.57 | 0.763 | 0.95 | 0.55 | 1.62 | 0.839 |
| Junior high school | 686 | 0.03 | 0.01 | 0.19 | <0.001 | 0.11 | 0.01 | 0.86 | 0.035 | 3.49 | 1.64 | 7.43 | 0.001 | 1.35 | 0.61 | 2.99 | 0.464 | 0.66 | 0.39 | 1.12 | 0.126 | 0.66 | 0.38 | 1.15 | 0.141 |
| Special education needs school | 33 | 0.08 | 0.01 | 0.75 | 0.026 | 0.27 | 0.03 | 2.76 | 0.271 | 7.06 | 2.58 | 19.29 | <0.001 | 3.18 | 1.10 | 9.22 | 0.033 | 1.10 | 0.45 | 2.70 | 0.836 | 1.13 | 0.45 | 2.81 | 0.800 |
Type of work activity | | | | | | | | | | | | | | | | | | | | | | | | | |
| Other than both working | 589 | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
| Both working* | 921 | 0.03 | 0.02 | 0.05 | <0.001 | 0.03 | 0.01 | 0.05 | <0.001 | 5.30 | 4.06 | 6.92 | <0.001 | 5.74 | 4.33 | 7.60 | <0.001 | 0.88 | 0.71 | 1.09 | 0.224 | 0.98 | 0.78 | 1.23 | 0.856 |
Family structure | | | | | | | | | | | | | | | | | | | | | | | | | |
| Nuclear family | 1297 | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
| Family including grandparent or others | 213 | 4.12 | 2.54 | 6.70 | <0.001 | 7.50 | 4.53 | 12.44 | <0.001 | 1.28 | 0.95 | 1.73 | 0.101 | 0.90 | 0.65 | 1.24 | 0.516 | 0.78 | 0.58 | 1.04 | 0.093 | 0.78 | 0.58 | 1.06 | 0.109 |
Having older sibling | | | | | | | | | | | | | | | | | | | | | | | | | |
| No | 919 | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
| Yes | 591 | 0.87 | 0.69 | 1.10 | 0.250 | 0.78 | 0.59 | 1.03 | 0.079 | 0.92 | 0.74 | 1.15 | 0.473 | 0.83 | 0.66 | 1.05 | 0.122 | 0.75 | 0.61 | 0.93 | 0.009 | 0.74 | 0.59 | 0.91 | 0.005 |
Awareness of technical term for school closure | | | | | | | | | | | | | | | | | | | | | | | | |
| No | 1346 | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
| Yes | 164 | 1.10 | 0.75 | 1.60 | 0.627 | 1.35 | 0.87 | 2.08 | 0.182 | 1.23 | 0.88 | 1.72 | 0.225 | 1.20 | 0.84 | 1.73 | 0.313 | 0.72 | 0.52 | 1.00 | 0.052 | 0.73 | 0.52 | 1.01 | 0.056 |
Discussion
We conducted a cross-sectional attitude questionnaire survey among households of children attending six schools to clarify the associations between household background factors and parental behavior during periods of school closure as an infection control measure. We found that the attitudes “caring for children”, “taking leave from work”, and “permitting out-of-home activities” were associated with various household background factors.
The attitude of caring for children was reported by 74.0% of households in this study, which was similar to the findings of a study [
10] that reported daily care of children by parents during school closure due to H1N1 in 71.6% of households in Japan. The level of caring attitude differed among school affiliations (effectively the grade of school) in this study, in contrast to a study in the USA, which showed that the main caregivers during school closure were the students themselves, or parents with no clear trend by grade [
8]. Thus, the association between the attitude of parents and grade of children may differ among countries or cultures. In addition to this result, the attitude of caring for children by parents was associated with family structure. Although the behavior of caring for children during school closure was generally thought to be dependent only on the employment status of the parents, which was also observed in this study, we found that the inclusion of grandparent(s) or other family members in the household was associated with “caring for the child” by the parents. Although this result was natural, the factor of family structure has not been taken into consideration in infection control measures. Therefore, if households are required to care for their children during periods of school closure due to pandemic influenza, future measures or guidelines should include reference to not only work activity but also household member availability.
“Taking leave from work” during periods of school closure was reported by 33.6% of households. A report showed that members from 12.9% of households took leave from work during pandemic influenza-related school closures in Japan [
10], which was much lower than the finding in the present study. This disparity may have been because our study included households of children attending kindergarten to junior high school, whereas the previous study included high school. In addition to this disparity, in other countries, the rates of a parent taking leave from work during school closures varied widely: 17% at seven schools in New York City [
9], 20% in 39 states in the USA [
5], and 45% at three schools in Perth, Australia [
6]. Therefore, we supposed that the variation may be affected by some other household factors. Both parents working was associated with taking leave from work during school closure in this study, so this factor may affect such variation. In addition, in this study, having children in elementary schools and special education needs schools showed stronger associations with taking leave from work during school closure than having children in kindergarten. This disparity may have been because the parents of kindergarten-age children mulled over the decision to leave their children in a daycare center in the event of a pandemic. Therefore, more information may have been acquired if this study had included a daycare center, and this issue should be clarified in future. In general, the proportion of households where a parent said they would take leave from work due to school closure is important information for the development of a Business Continuity Plan (BCP) [
2]. As it is difficult to manage both the BCP and school closure measures simultaneously and further information, such as “school affiliation” or “type of work activity” should be obtained and both BCP and school closure measures should be reconciled for determination of practical measures in future.
There were cases where children spent time outside of their homes during pandemic influenza-related school closure and made contact with each other [
2] resulting in virus transmission weakening the effectiveness of infection control measures. The parental behavior of permitting out-of-home activities during school closure occurred during the influenza (H1N1) 2009 pandemic and varied by country, with rates of 20.5% in Japan [
10], 34% [
9] and 69% [
7] in the USA, and 75% [
6] in Australia. The behavior also differed according to school grade or day of the week [
8]. Therefore, it is important to determine that factors associated with these variations. In this study, we investigated the associations between household background factors and attitudes, and found that “having an older sibling” was associated with not permitting out-of-home activity. This was thought to be because whether children have a sibling with whom to play during school closure was associated with the parents’ attitude toward permitting out-of-home activities. Therefore, “having an older sibling” was an important factor in controlling children’s behavior, and at least indication of own behavior (e.g., homework or private study) during school closure may suppress out-of-home activity. Lack of awareness of the technical term for school closure tended to be associated with “permitting out-of-home activities”. A previous report showed that knowledge of H1N1 transmission pattern was associated with hygiene improvement [
13]. We assume that subjects with knowledge of influenza characteristics might improve their infection control measures. In the present study, because subjects with awareness of technical term of school closure were regarded as knowledgeable about the purpose of the closures and characteristics of influenza, we speculate that this knowledge influenced parental behavior of forbidding out-of-home activity. Thus, explicit explanation of the aims of school closure may influence behavior and improve the effectiveness of this measure for infection control.
This study had several limitations. First, actual behavior during school closure due to the influenza pandemic may differ from that reported by respondents as attitudes may not always reflect actions. However, families in Japan are accustomed to school closures during seasonal influenza outbreaks and have most likely all experienced the behaviors being discussed. Therefore, this limitation is likely very minimal in this particular study conducted among Japanese culture. Second, household behaviors “parental work activity” and “permitting out-of-home activities” may have differed according to schools or districts [
9] and responses among parents of children attending the same school may have been more similar to each other than to those of parents of children attending another school. Although multivariate analysis was used in analysis, this clustering effect might have remained. However, the present study was based on a hypothetical situation and included only 6 schools, therefore we regarded that detailed adjustment of clustering may not be important. Further data of more schools should be accumulated to clarify any such possible clustering effect in a future study. Third, the rate of complete answers were biased in school affiliation and type of work factors. This phenomenon may reflect the interests of the study population in infection control measures. This disparity may slightly affect the study results. Fourth, behavior may change according to the pathogenicity of the influenza virus. As the pathogenicity of the influenza (H1N1) 2009 virus was not as strong as expected before the pandemic, on which they may have based their responses due to their memory of this event, the respondents’ impressions of the pandemic influenza virus may have been underestimated. However, an influenza virus with high pathogenicity will likely induce an influenza pandemic in the future. When pandemic influenza occurs in the future, it will be important to distribute up-to-date information regarding the pathogenicity of the virus immediately and previous experience of influenza H1N1 (2009) should not be an inhibiting factor.
Conclusion
In this study, we determined associations between household background factors and parental attitudes describing their likely behavior during periods of pandemic influenza-related school closure for infection control. We found that factors of school affiliation, family structure, type of work activity, and knowledge of the technical term for school closure were associated with parental attitudes. This additional information will be useful for future infection control measures, including school closure.
Acknowledgements
We thank Tomoko Fujimura, Hiroko Hayashi, Naomi Yuzawa, Kiyomi Tanaka, Kazuki Nagai, Junichi Kitamura, and Yoshinobu Shinkai of the Center for Health, Safety and Environmental Management, Dr. Teruomi Tsukahara of the Department of Preventive Medicine and Public Health, Shinshu University and all other organization members for their assistance in the collection and analysis of data. This work was supported in part by a Grant-in-Aid for Young Scientists (B) from the Ministry of Education, Culture, Sports, Science and Technology, Japan (study number: 26860413).
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MU designed and oversaw the study, performed the statistical analysis and wrote the manuscript. MK and SK proposed suggestions to improve the study and revised the manuscript. All authors read and approved the final manuscript.