The Japanese version of the children's sleep habits questionnaire (CSHQ-J): A validation study and influencing factors.

SUBJECT: This study aimed to validate the Japanese version of the Child's Sleep Habits Questionnaire (CSHQ-J) and identify which factors affect the CHSQ-J total score. METHODS: The participants were 3158 children (aged 4-12 years) and their parent/guardian, as community samples from large, medium-sized, and small cities. Each parent/guardian filled in the questionnaire set (CSHQ-J, Pittsburgh Sleep Quality Index, demographic data: family structure, sleep environment, participants' present illness, and economic information); we also collected 51 clinical samples from our facility to calculate the cutoff score. According to the age of the participants in the original CSHQ (4-10 years), validation was assessed statistically via exploratory and confirmatory factor analyses and internal consistency (verified by Cronbach's α). Multivariate analysis was conducted to identify factors affecting the CSHQ-J total score. RESULTS: We received responses from 2687 participants (response rate: 85%) and analyzed 1688 participants who were the age of the original CSHQ participants. The alpha coefficients of each subscale of the CSHQ-J ranged from 0.43 to 0.68. The cutoff score was 48 (sensitivity: 0.69, specificity: 0.79). The confirmatory and exploratory factor analyses did not converge. Multivariate analysis showed that the factors that significantly influenced the CSHQ-J total score were co-sleeping, supplemental sleep, and child's age. Present illness, especially adenoids, also significantly influenced CSHQ total score. CONCLUSIONS: The CSHQ-J has adequate internal consistency and is useful for screening for pediatric sleep disorders. Supplemental sleep, habit of co-sleeping, and child's age should be considered when using the CSHQ-J as a screening tool for sleep problems in children.

Association between children's sleep patterns and problematic behaviors at age 5.

BACKGROUND: Night-shift lifestyles affect children as well as adults, and are associated with sleep and behavioral problems among children. This study aimed to investigate associations among sleep patterns, individual/environmental factors, and problematic behaviors in children at age 5 years. METHODS: Data for sleep patterns, individual / environmental factors, and problematic behaviors for 8,689 5-year-old children were collected from health-checkup records. Problematic behaviors investigated were anxious behavior (being afraid, difficulty being separated from the mother), developmental behavior (violence, restlessness, rebellious behavior, restrictive diet, stereotypic play), personal habits (thumb-sucking, nail-biting, tic, masturbation), and excretory problems. The relationships between sleep patterns (bedtime, sleep duration) and the presence of these behaviors were analyzed. Individual / environmental factors that affected problematic behaviors were statistically identified using a tree-form model. RESULTS: Late bedtime and short sleep duration showed significant adverse effects on children's problematic behaviors - odds ratio (OR): 1.07, 95% confidence interval (CI): 1.03-1.11 and OR: 0.92, 95% CI: 0.87-0.97, respectively. Long television watching time, abnormality at birth, and lack of father's support also showed significant adverse effects on problematic behaviors (OR: 2.34, 95% CI: 1.87-2.94), and significantly affected late bedtime and short sleep duration. CONCLUSIONS: There were significant associations among sleep patterns, individual / environmental factors, and problematic behaviors in 5-year-old children. Improving children's sleep patterns, reducing the duration of television watching, and improving support from fathers may reduce problematic behaviors.

Association between problematic behaviors and individual/environmental factors in difficult children.

BACKGROUND: Difficult children are ones whose behavior deviates from the norm, which manifests as restlessness, violence, and difficulty in separating from the mother. Such problematic behaviors usually exhaust their parents during child rearing. This study aimed to identify individual and environmental factors that influence children's problematic behavior, which could be helpful in supporting parents' child rearing. METHODS: Records of children's problematic behaviors and their individual or environmental information were collected from 8691 children at their 5-year-old health checks. Problematic behaviors were divided into three categories; anxious behaviors, developmental behaviors, and personal habits. Individual factors included sex, parental age, birth order, birth weight, and birth abnormalities. The environmental factors were mother's smoking during pregnancy or currently, partner's cooperation in child rearing, having someone to consult about child rearing, and television viewing time. Using logistic regression, we identified the association between such behaviors and aggravating factors. RESULTS: Problematic behavior was identified in 2.2%, 11.5%, and 16.1% of cases, respectively, with regard to anxious behaviors, developmental behaviors, and personal habits. The individual factors (including birth order and birth abnormality), and the environmental factors (including mothers currently smoking, lack of someone to consult about child rearing, and long television-watching time) were associated with the odd ratio of increased risk for some problematic behaviors. CONCLUSION: Behaviors in difficult children are not influenced by individual factors but by several environmental factors. To reduce the parental child rearing burden, health providers should be aware of these aggravating factors.