Prevalence of sleep problems and its relation to sleeping habits in toddlers

Abstract

Background: Sleep problems in children have serious physical and psychological consequences such as obesity, aggression and attention deficit disorder in toddlers. The aim of the present study was to determine the prevalence of sleep problems and its relation with sleeping habits of toddlers in 2017.

Methods: By random sampling from rural families of Razan city of Hamadan province, 120 mothers of 12- to 36-month-old children were selected and data collection tools included contextual questions, medical history and 33-question questionnaire of children's sleep habits (CSHQ) completed. Data were analyzed by SPSS software version 23, independent t-test, chi-square, Pearson correlation coefficient and multiple linear regression.

Results: The mean age of the children was 22.82±7.53 months and 55% of them were boys and the prevalence of sleep problems was 70.8% (95% confidence interval: 71.9-69.7). The average sleep duration of the children was 11 hours and more than 60% of the children went to bed after 23 o'clock. Results show that age is an important factor in most dimensions of CSHQ and age predicts daytime sleepiness (β = -0.263), nocturnal wakefulness (β = -0.113) and duration, Sleep time (β = -0.108) and sleep resistance (β = 0.194) respectively. Also, parents' education and child's current weight were predictors of subscales of CSHQ questionnaire (P <0.05). In addition, there was a positive and significant correlation between sleep duration with infant sleep anxiety (r = 0.527) and resistance to sleep (r = 0.473) as well as nocturnal wakefulness with parasomnia (r = 0.416) (P <0.001).

Conclusion: Given the alarming prevalence of sleep problems in toddlers in the present study and the impact of some changeable factors on children's sleep health, designing interventions aimed at educating mothers to improve healthy sleep habits in toddlers is necessary.

Introduction

Toddler needs good quality sleep for 11 to 13 hours a day for mental and physical development [1]. Younuch et al. (2016) study findings suggest that half of infants have poor sleep habits, 33% have insufficient sleep and 12–10% have at least one of the sleeping or waking up problems. Also, 50% of children do not get enough sleep due to the need for parents to sleep (as the most common sleep problem) and 48% due to late sleep [2]. However, 81 to 100 percent of parents believed that their children had good sleep habits [2, 3]. Information available about the prevalence of sleep problems and factors affecting healthy sleep habits in toddlers- especially in children who do not attend childcare centers such as preschool- is incomplete [1, 4, 5]. Most studies have focused on students' sleep habits and neglected to examine sleep patterns of children younger than 4 years - which could have serious consequences for future physical and mental health [6]. Although the toddler's total sleep duration is not related to the child's developmental indicators [7], healthy sleep is related to the physical development, general health and mental well-being of the child, and feeling good in the family [8]. Mean of healthy sleep habits is regular sleep and wake hours, age-appropriate sleep rate, and optimal sleep quality (less sleep delay, fewer and shorter night awakenings, reduced daytime sleepiness) [9]. On the other hand, a number of studies have shown a strong positive relationship between sleep habits and stress [10, 11]. Many studies have also suggested that stress itself is an environmental factor in cancer. Therefore, controlling the determinants of sleep habits from the perspective of cancer reduction is also important [12-16]. In previous studies, factors such as maternal education, maleness, low birth weight, presence of more than one older sibling, television viewing more than one hour in the evening, were associated with insomnia in toddlers [17]. An inverse relationship has been observed between toddler physical activity and infant night sleep [3]. Environmental factors such as ambient temperature [18, 19], ventilation [20], ambient light [21], and infant nutritional behavior [22], also influence on the quality and quantity of children's sleep. The aim of this study was to determine the prevalence of sleep disorders and its related factors in a sample of toddlers.

Methods

The present study was a cross-sectional descriptive study that was carried out in the health centers of Razan city of Hamadan province from January 2016 to February 2016 with the aim of determining sleep problems and environmental, family and personal factors affecting sleep habits in 12-36-month-old children.

Research community, samples and sampling process

The study population was all mothers with 12 to 36 months old children in Razan city of Hamadan province. With the permission of the Deputy Health Directorate, a list of health homes in the city of Razan (including 72 centers) was prepared. Then, 12 health centers were selected by simple random sampling and 10 parents from each health home were coordinated to participate in the study. The sample size required for the present study was 96 persons based on Mohammadi et al study [23] with error of 0.05 and accuracy coefficient of 10 using the following sampling formula. Finally, 120 people were selected to participate in the study.

n=σ2Z1-α22d2

Inclusion criteria include: voluntary participation in study, literacy, child age between 12 and 36 months, child physical and mental health (child physical and mental health approval was performed by both health record and clinical examination by specialist physician), full residence in Razan, living with both parents at the same time and having a vaccination and supplementation program (Multivitamin or A + D and Iron) according to the national plan, lack of physical and mental disorders in the parents. Failure to participate in the study, diagnosis of acute or chronic diseases by a specialist physician, continuation of a child's medical treatment, physical presence of a parent, disability or parental drug, alcohol or psychiatric dependence, participants in the study were excluded.

Data Collection tools

Two questionnaires were used in the present study: a) Demographic information questionnaire which included 11 questions about age, sex, rating and birth weight of the child, age, education and job of parents and number of children. B) The 33-item Child Sleep Habits Questionnaire (CSHQ), which assesses sleep habits and screening for sleep problems in eight areas: 1) the child's resistance to going to bed, 2) sleep delay, 3) sleep adequacy, 4) sleep anxiety, 5) waking up at night, 6) parasomnia (sleeping problems such as walking, talking, nightmares, screaming, toothache, restlessness, etc.), 7) respiratory problems of sleeping 8) Daytime sleepiness [24]. The questions and items were scored on a three-point Likert scale (rarely (1 to 2 nights a week): one score, sometimes (3-4 nights a week): two points, often (5-7 nights a week): Three points). The validity and reliability of this tool have been demonstrated in other studies [25]. Falahzadeh and colleagues also confirmed the internal consistency and reliability of the questionnaire items by using Cronbach's alpha coefficient and test-test coefficient, respectively [26].

The process of data collection

The present study is part of a nutrition and children sleep thesis that approved by the Ethics Committee of Qazvin University of Medical Sciences (Ethics Code: IR.qums.REC.1396.347). After obtaining the consent of the Research Deputy of Qazvin University of Medical Sciences and the Deputy of Health of Hamadan University of Medical Sciences and coordination with the Behvarzes, mothers were invited to participate in the study by telephone. The mothers came to the health homes on their own suggested schedule. And the research team, while explaining the aims of the study, obtained consent from the mothers to participate in the study voluntarily. Oslo the research team, explaining how to answer questions, emphasized the confidentiality of the information and the anonymity of the questionnaires. Then, the mothers answered questions in the presence of the research team for approximately 25 to 30 minutes. The presence of the researcher was intended to ensure that mothers were fully and accurately answered and Eliminate their possible ambiguities about questions and items. After completing the questionnaires in order to observe the research ethics, a 120-minute educational program aimed at improving child sleep habits was delivered by the researcher. The pamphlet on sleeping child health and its effects on children's physical and mental health was delivered to mothers. The birth weight of the child and the term or preterm birth were extracted from the children's health record. The current weight of the children in the lowest clothing was measured using a Seca scale with accuracy of 50 grams.

Data analysis

After data entry in SPSS software version 23, data distribution was normalized using Kolmogorov-Smirnov test. and preliminary analysis was conducted to ensure that no violation of the assumption of normal, linearity and uniformity of dispersion. In addition to descriptive statistics and Chi-square test, independent t-test, multiple linear regression and Pearson correlation coefficient were used. Significance level was considered less than 0.05 in the present study.

Results

Participant characteristics

The mean age of the children in this study was 22.8±7.5 months, also 55% (66 person) male, 25.8% (31 person) single child, 67% (80 person) term and 84% (101 person) with a birth weight of 2500 grams or more. The mean current weight of the children was 12066±2113 with a weight range of 18000 to 8700 g. The mean age of mothers was 29.4±2.5 years, 18.3% had university education and 11.7% were employed. The mean age of the fathers was 34.8±5.1 years and 10.18% were college educated.

Toddler sleep information

The prevalence of sleep problems in toddlers is 70.8%, according to mothers of the current study. 11% of children do not wake up at night, and 16% always wake up at night. 88% of children had daytime naps, 80% had resistance to sleep, and 60% had more than 20 minutes of late-night sleep. Toddlers' sleep duration on the 24-hour of holidays and non-holidays was no different, and it was 11 hours on average (8-15 hours). Also, more than 60 percent of children went to bed in the holidays and non-holidays after 23:00. The mean waking hours of the child on normal holidays were 8±1 (12–6 AM) and 9±1 (6 AM to 13 PM), respectively, and the average daily nap duration was 105±58 minutes. 10% of children had variable night sleep hours. The house of 10 percent of the participants had only one room, that with these exceptions, sleeping place of 87% of the children were in the parents' bedroom.

Tab 1 Maternal reports of variables related to children's sleep and wake hours by age and sex

Classification by age and sex of child Children's sleep sizes	Age less than 24 months Average (standard deviation)	Age more than 24 months Average (standard deviation)	P-value
The total duration of the child's sleep in 24 hours of non-holidays (minute)	Girl*	717 (93)	706 (80)	0.0007
	Boy**	701(74)	704 (73)
The total duration of the child's sleep in 24 hours of holidays (minute)	Girl	722 (88)	725 (101)	0.0003
	Boy	687 (93)	715 (73)
Child's sleeping hours on non-holiday nights	Girl	22 (1)	22 (0)	0.0001
	Boy	22 (1.04)	23 (0)
Child's sleeping hours on holiday nights	Girl	23 (1)	23.05 (1)	0.0002
	Boy	23.5 (1)	23.07 (0)
Child's wake up in the morning on a normal day	Girl	9 (1)	8 (1)	0.0002
	Boy	9.02 (1)	8 (0)
Child's wake up in the morning on a holiday	Girl	9 (1)	9 (1)	0.0004
	Boy	9 (1)	8 (1.024)
* Of the 54 girls in the study, 33 were younger than 24 months and 21 were older than 24 months. ** Of the 66 boys in the study, 39 were younger than 24 months and 27 were older than 24 months.
*** Significant at P <0.001.

According to Table 1 (independent t-test results), there is a significant difference in the effect of age and gender of the child on the duration and hours of sleeping and waking on normal and holiday days.

Tab 2 Pearson correlation coefficients between subscales of the CSHQ questionnaire in 120 toddlers participated in this study

	1	2	3	4	5	6	7	8	9	10	11
1	Resistance to sleep	-
2	Delay in starting sleep	0.266*	-
3	Sleep duration	0.473**	0.213*	-
4	Sleep anxiety	0.123*	0.057*	-0.527**	-
5	Night awakening	0.344**	0.153*	0.315**	0.182*	-
6	Parasomnia	0.253**	0.108*	0.146*	0.163*	0.416**	-
7	Respiratory problems in sleep	0.127*	0.093*	0.119*	0.109*	0.098*	0.233**	-
8	Daytime sleepiness	0.182*	0.138*	0.290**	0.073*	0.265**	0.147*	0.125*	-
9	Sleeping place	-0.471**	0	0.087*	-0.08*	-0.062*	0	0	0	-
10	Night sleep time	0	-0.037*	0	0.058*	-0.096*	0.079*	-0.013*	0	0	-
11	Morning waking hours	-0.058*	0.052*	0	-0.048*	0	-0.018*	-0.057*	0.07*	0	0.213*	-
** Correlation is significant at the 0.01 level. Correlation is significant at the 0.05 level.

Table 2 shows the correlation coefficients between the CSHQ subscales. As can be seen from the data in the table, the strongest correlation coefficients were between sleep duration and sleep anxiety (r = -0.527), sleep duration and resistance to sleep (r = 0.473), sleep place and resistance to sleep (r = -0.471) (P <0.001), respectively.

Tab 3 Standard and non-standard regression coefficients related to demographic variables and CSHQ questionnaire subscales

	independent variable	B	β	P-value
Resistance to sleep	Child's age	0.183	0.194	0.013
	Mother's education	0.217	0.170	0.005
Sleep duration	Child's current weight	-0.123	-0.116	0.038
	Child's age	-0.119	-0.108	0.024
Night waking	Child's age	-0.415	-0.133	0.003
	Father's education	1.034	0.172	0.026
Parasomnia	Boy sex	0.642	0.216	0.007
Respiratory problems in sleep	Child's current weight	0.268	0.103	0.048
Daytime sleepiness	Child's age	-0.811	-.263	0.003
	Child's current weight	-0.217	-0.151	0.020
The total score of the child's sleep habits	Mother's education	2.213	0.253	0.003

Table 3 presents standard and non-standard regression coefficients between demographic variables and CSHQ questionnaire subscales in toddlers participating in the study. Results show that age is an affecting factor in most dimensions of CSHQ and age predicts daytime sleepiness (β = -0.263), nocturnal wakefulness (β = -0.113) sleep duration (β = -0.108) and resistance to sleep (β = 0.194), respectively. Also, parents' education and child's current weight were predictors of subscales of CSHQ questionnaire (P <0.05).

Discussion

The present study is the first study to determine the prevalence of sleep problems in toddlers in Iran and, the purpose of this study was to determine the relationship between sleeping habits and personal, environmental and family characteristics in toddlers in Razan, Hamadan province. The results of completing the CSHQ questionnaire indicated that sleep problems were present in 70.8% of the cases. The prevalence in Australia and the US is 55 to 60 percent [3, 19, 27], which can be due to cultural and social factors affecting one's sleep [28]. Similar to other studies, most of the children in the present study slept in their parents' bed [29, 30], which had a significant positive relationship with sleep problems (r = 0.02, P <0.001). Because the presence of other people and their sleeping habits effect on the child's sleep [23]. Sleeping in children less than 5 years in a separate room is the strongest predictor of long-term sleep, which may be due to a decrease in wakefulness and increased child’s Sleep Continuity [31]. Williams et al. also linked the place of sleep with toddler sleep problems and they suggest that the children sleep in the cradle until three years old and move to bed later. Because sleeping in a cradle is associated with an earlier bedtime, less sleep delay, less wakefulness, and an increase in toddler's nighttime sleep in compared to beds. In particular, this is significant in the child's resistance to sleep. In fact, shifting baby's sleep from cradle to bed has been associated with the prevalence and incidence of sleep problems in some toddlers [27]. Reference values of delayed sleep in children up to 6 years are 19 minutes on average [1]. The sleep latency in the present study is consistent with the results of Zhang et al. however, unlike the current study, it did not correlate with sleep problems in children [3]. Chang et al. Reported a negative correlation between sleep latency and sleep duration and daily nap time, which is in contradiction with the results of the present study [32]. Also, the inverse correlation of sleep duration with toddler age is similar to the results of other studies [29, 33]. As expected, sleep duration will naturally decrease with age [8]. In the present study, sleeping and waking hours of children on normal days and holidays are later than the results of other studies [3, 34]. Probably because of the absence of children participating in the present study in outdoor programs such as kindergarten that allow the child to sleep late at night and wake up late in the morning. Consistent with the study by Mindell et al., There was a greater variation in bedtime than wakefulness, and bedtime had a greater effect on the duration of a child's nighttime sleep [33]. In another study, the weekly program determines the child's bedtime, as they go to bed later in the weekend and wake up later [35]. This finding is consistent with the present study in that the mean sleep time of the child on normal and holidays is 22±1 and 23±1 (2-21 AM), respectively. In the present study, the most significant correlation was between the sleep anxiety of the child and the duration of sleep. Given the correlation between sleep anxiety with the duration of television viewing and the use of electronic media [36], seems to spending more time on television decrease the opportunity of child’s sleeping and increase sleep anxiety [19]. The nocturnal awakening of children in the present study is similar to other studies [7, 23]. The evolution of reducing nighttime awakenings is from birth to 3 years old and there is no difference between Asian and non-Asian children [37]. The frequency of wakefulness after birth is 0-3.4 times at night (1.7 times average), Which decreases with age, by the age of 2, it reaches 0-2.5 times at night (0.7 times average). Nighttime awakening and delayed sleep reduce sleep consistency and shorten sleep [1]. Breastfeeding is effective on the frequency of wakefulness so that breastfeeding is associated with increased wakefulness [38]. The correlations observed between child’s nighttime wakefulness and daily nap time in the present study are similar to those of Cheung [32]. In the present study, respiratory problems in sleep have the highest correlation with parasomnia. Parasomnia itself resolves with age and remains a problem in only 4% of children [39]. The effects of increased air pollution and climate change on sleep have been associated with respiratory problems in sleep [40]. The daily nap rate of the children in this study is similar to other studies [3, 29, 30, 34, 41] and is in the desired range [1, 8]. We didn't pay on the number of daily naps of children, rather we checked the duration of the daily nap, because according to a systematic review, the frequency of daily naps at 2 years old was 0.4 -2.1 (on average 1.2 times) and have biological root and did not differ across different communities [1].

Conclusion

This study was performed on Iranian children aged 3 to 6 years and sleep problems such as being late to bed, delayed sleep, and children's shared bedroom with parents were reported [42]. Probably, sleep problems started in toddlerhood and remained in pre-school years, because no corrective interventions have taken place. Regarding the prevalence of sleep problems of toddlers in Iranian society and the effect of sleeping habits, personal, environmental and family characteristics on it, designing interventions to control the factors that influence children's sleep habits appear useful.

Weaknesses and strengths

Conducting a descriptive study due to its inability to detect causal relationships, limiting the number of samples studied, limiting sampling location, and inability to extend its results to other communities, using self-report methods that associated with memory bias are the weaknesses of the present study. The strength of this study is the attention to toddler sleep problems, because even though the child has no sleep disorder, he or she cannot use his or her potential because of sleep problems.

Recommendations

Researching other economic and social communities, designing longitudinal and empirical studies, measuring child sleep habits using autographs instead of questionnaires for future studies is suggested.

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