The Tayside children's sleep questionnaire: a simple tool to evaluate sleep problems in young children

2005 ◽  
Vol 31 (5) ◽  
pp. 539-544 ◽  
Author(s):  
J. A. McGreavey ◽  
P. T. Donnan ◽  
H. C. Pagliari ◽  
F. M. Sullivan
Children ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 772
Author(s):  
Larissa Alice Dreier ◽  
Tugba Kapanci ◽  
Katharina Lonnemann ◽  
Margarete Koch-Hogrebe ◽  
Lucia Wiethoff-Ubrig ◽  
...  

Cerebral palsy (CP) represents the most common motor impairment in childhood. The presence of sleep problems has not yet been investigated with an instrument specifically designed for this population. In this hospital-based, prospective study, N = 100 children (M = 7.9, range: 2–18 years) with CP were included. All patients underwent pediatric neurologists’ screening incorporating instruments (Data Collection Form; Gross Motor Functions Classification System, GMFCS; Bimanual Fine Motor Function, BFMF) recommended by the “Surveillance of Cerebral Palsy in Europe (SCPE)”. Parents completed the “Sleep Questionnaire for Children with Severe Psychomotor Impairment (SNAKE)”. Children’s sleep behavior was increasingly conspicuous, with greater gross motor (SNAKE scales: disturbances remaining asleep, daytime sleepiness) and fine motor (additionally SNAKE scale arousal and breathing problems) functional impairment. Overall, a proportion of children showed sleep behavior outside the SNAKE’s normal range. No relevant sleep differences were identified between different CP subtypes and comorbidities. Applying a population-specific questionnaire, children’s functional impairment seems to be more relevant to their sleep behavior than the CP subtype or CP comorbidities.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A241-A242
Author(s):  
Jack Peltz ◽  
Ronald Rogge ◽  
Joseph Buckhalt ◽  
Lori Elmore-Staton

Abstract Introduction Approximately half of school-aged children (ages 5–18) get either insufficient sleep during school nights or barely meet the required amount of sleep expected for healthy functioning (National Sleep Foundation, 2014).This percentage increases as children develop into adolescents (National Sleep Foundation, 2006). Accordingly, sleep problems and insufficient sleep are so pervasive that they could be considered an epidemic due to their adverse impact on children’s mental and physical health (Owens, 2015; Shochat et al., 2014). Fundamental to children’s sleep health is their sleep environment (Billings et al., 2019; Spilsbury et al., 2005). Despite its importance, however, there remains a noticeable absence of valid and reliable assessments of this construct. The current study sought to develop a measure of children’s sleep environments to support research and clinical work on youth’s sleep health. Methods A total of 813 parents (Mage = 40.6, SD = 8.6; 72% female) completed an online survey regarding their child’s (Mage = 10.5, SD = 3.8; 45% female) sleep environment and sleep-related behavior. The majority of families identified as Caucasian (approximately 80%). Parents reported fairly high annual incomes (Median = $75,000), but 28.2% of families reported incomes less than $50,000. A total of 18 items (total scale score; alpha = .74) were selected from a pool of 38 items developed from previous research that examined aspects of the sleep environment and were entered into an exploratory factor analysis from which 4 factors emerged: general sleep environment (10 items, alpha = .91), sleeping alone vs. with siblings (2 items, alpha = .78), presence of electronic screens (4 items, alpha = .75), and emotional environment (2 items, alpha = .80). Results The subscales demonstrated distinct patterns of correlations with related constructs, and unique predictive variance in explaining children’s daytime sleepiness even after controlling for children’s sleep hygiene, behavior problems, and sleep problems. Conclusion The current study is one of the first to demonstrate a valid/reliable assessment of children’s sleep environments. Not only will this measure provide researchers with an assessment of a fundamental influence on children’s sleep, but it will also enable clinicians to better measure this construct and support effective sleep health recommendations. Support (if any):


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A250-A250
Author(s):  
Solbi Kang ◽  
Seockhoon Chung ◽  
Sooyeon Suh

Abstract Introduction Asian cultures, including Korea, are known to have a higher proportion of parent-child co-sleeping than Western cultures. While recent studies have shown that bed-sharing increases the mother’s depression and causes sleep problems for children, there has never been a study in Asia on the sleep problems of parents and children caused by co-sleeping. Therefore, we aim to investigate the types of sleep problems in children and their mothers’ insomnia severity due to co-sleeping. Methods This study was conducted in 79 mothers (mean age 33.65 ±3.98 years) who reported having insomnia due to their children. All participants had children between 6 to 36 months old. Participants were asked to answer the survey includes demographics, sleep environment, child’s sleep problems, child’s health status items and the mother’s insomnia (measured by the Insomnia Severity Index; ISI). Children’s age was divided into 5 age groups (6 – 11, 12 - 17, 18 - 23, 24 - 29, and 30 to 36 months). Frequency analysis and independent t-test were conducted. Results Of the total respondents, 72.2% (n=57) reported co-sleeping with their children. The most reported sleep problem in children was waking up in the middle of the night 51.9% (n=41), followed by difficulty in sleep initiation 12.7% (n=10), looking for mother or an attachment object 12.7% (n=10), sleep-limiting problems 7.5% (n=6), multiple problems 12.7% (n=10), and none 2.5% (n=2). An independent t-test results for determining whether co-sleeping caused a difference in the severity of maternal insomnia was significant in the 6 to 11 months group only (t=-2.336, p<.05). The co-sleeping mother’s ISI average score (M=18.28) was significantly higher than mother who slept separate from her child (M=14.31). Conclusion Co-sleeping in Asian cultures is prevalent, and may require attention and intervention for mothers who report having insomnia due to their children’s sleep disturbance. Support (if any):


BMJ ◽  
1981 ◽  
Vol 283 (6301) ◽  
pp. 1265-1265
Author(s):  
R F Irvine

Sleep Health ◽  
2017 ◽  
Vol 3 (3) ◽  
pp. 136-141 ◽  
Author(s):  
Karen A. Bonuck ◽  
Beth L. Goodlin-Jones ◽  
Clyde Schechter ◽  
Judith Owens

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sae Ono ◽  
Hiroto Ogi ◽  
Masato Ogawa ◽  
Daisuke Nakamura ◽  
Teruhiko Nakamura ◽  
...  

Abstract Background Sleep problems in preschool children can stunt their health and growth. However, the factors that cause sleep problems in children are not well understood. The aim of this study was to determine the relationship between parents’ health literacy (HL) and children’s sleep problems. The study was conducted at two kindergartens, two nursery schools, and a center for early childhood education in Chitose-city, Hokkaido, Japan. Method This study used a multicenter cross-sectional design. The sample comprised 354 preschoolers (aged 3–6 years) and their parents. In families with two or more children attending the same facility, only the oldest child was asked to participate in the study. Exclusion criteria included participants whose completed questionnaires had missing values. Children’s sleep problems were assessed using the Japanese version of the Children’s Sleep Habits Questionnaire (CSHQ-J). Parents’ HL was assessed using the 14-item Health Literacy Scale (HLS-14). The parents were classified into two groups (high HL group and low HL group). Multiple regression modelling was used to determine the association between HLS-14 and CSHQ-J scores. Results Of the 354 parents, 255 (72%) were in the high HL group and 99 (28%) in the low HL group. The mean CSHQ-J score was significantly lower in the high HL group than in the low HL group (45.3 ± 6.0 points vs. 46.8 ± 5.9 points, p = 0.043). In multiple regression analyses, parents’ HL was independently associated with their CSHQ-J score after adjusting for all confounding factors (adjusted R2 = 0.22, β = − 0.11; p = 0.043). Conclusions Parents’ HL appears to affect their children’s sleep problems. This finding suggests that parents’ HL may be a target for intervention to improve children’s sleep problems.


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