Introduction
Sleep is a neurophysiological process necessary for brain development whose patterns vary with age; during the first year of life, the average sleep time is 12 to 16 hours, decreasing to 11 to 14 hours in infants, 10 to 13 hours in preschoolers, 9 to 12 hours in school children and 8 to 10 hours in adolescents < 19 years of age1. As the child grows and matures, a sleep pattern similar to that of an adult is taken: shorter durations, longer sleep cycles, and less daytime sleep. Most children stop taking regular naps around 5 years of age1,2.
In pediatric patients, parental surveys estimate a prevalence of approximately 30% of sleep pattern problems, reported as problems in falling asleep or maintaining sleep at the appropriate time at night2.
Several factors alter sleep behavior: hospitalization is one of them. In this condition, environmental factors such as alarms, invasive procedures, physical examinations, vital signs monitoring, different beds or cradles, among others, together with personal factors, such as the disease itself, can affect and have repercussions on the quality and quantity of sleep3.
Although sleep disturbances in hospitalized children have been studied, whether these disturbances occur more frequently because these children already have previous sleep disturbances has not been analyzed. We hypothesize that children who present sleep disturbances during the in-hospital stay are usually children who, although they have not been identified or diagnosed, already have a history of sleep problems at home.
This study aimed to analyze sleep behavior in pediatric patients with and with no previous sleep problems (PSP) during the first 48 hours of in-hospital stay. The hypothesis was that sleep behavior would be more affected in the first group of patients. Secondarily, we also analyzed environmental factors associated with sleep pattern modification.
Methods
Study design
We conducted a prospective cohort study on sleep pattern behavior in hospitalized children with or with no previous sleep disturbances. The sample was obtained by convenience among those patients admitted to the hospital from January to April 2019. The study included previously healthy patients < 17 years of age of either sex. Patients with a history of previous neurological disorders, genetic syndromes, and those admitted to intensive care or neonatal intensive care units were excluded.
To determine the history of PSP in children before hospitalization, we applied the brief sleep questionnaire through direct questioning of the parents or guardians. This questionnaire consists of 10 questions about the usual sleep pattern at home and looks for criteria to establish a sleep disorder4. Two of the following three criteria must be met to define PSP: sleep duration < 8 hours in 24 hours, three or more nocturnal awakenings in one night, and requiring more than one hour for falling asleep.
After establishing the history of sleep problems and once the child was hospitalized, the sleep pattern was monitored daily through a diary. The sleep diary consisted of nine questions to the parents or guardians: bedtime, time to fall asleep (from lying down to the moment of perception of deep sleep), number and time of nocturnal awakenings, the wake-up time in the morning, and the number and duration of daytime naps. Data were collected by one of the physicians (MFF). With the information on day and night sleep times, the total daily sleep time was calculated. Also, a record of the items present during each day in the child's care was made. We also collected information on patients' age, sex, and the reason of their hospitalization.
Statistical analysis
The patients were divided into two groups: PSP and no PSP groups. The qualitative variables were summarized in simple frequencies and percentages, while quantitative variables were summarized according to data distribution in means and standard deviations (SD) or medians with quartiles (Q1-Q3). c2-test was used to compare the qualitative variables between groups. The two-factor repeated-measures analysis of variance (ANOVA) (difference over time and difference between groups) was used to analyze the behavior between groups at different times when the data distribution was normal; the Mann Whitney's U-test (between groups) and the Wilcoxon signed-rank test for baseline vs. 24 h and 48 h differences were used when the distribution was not normal. Multiple linear regression was performed to determine the factors related to the change in sleep patterns, adjusting all factors with the history of sleep problems; the dependent variable was the duration of sleep pattern analyzed at 24 h and 48 h. Jeffrey's Amazing Statistic Program (JASP) was used, and p-values < 0.05 were considered statistically significant. The Bioethics Committee of the hospital approved the project with file number ENS 2020T001. The signed informed consent form was obtained from the parents.
Results
During the study period, 120 children met our selection criteria: 24 patients (20%) met the criteria to be considered in the PSP group before hospitalization (Table 1). We found no statistical differences among sex, age, admission cause, and the use of most gadgets. The exception was the continuous use of the pulse oximeter (p < 0.005). In most patients (65.8%), acute respiratory and gastrointestinal tract diseases were the main reason for medical care.
Characteristics | PSP (n = 24) n (%) | No PSP (n = 96) n (%) |
---|---|---|
Sex | ||
Male | 13 (54.7) | 50 (52.1) |
Female | 11 (45.2) | 46 (47.9) |
Age group | ||
Infants | 12 (50.0) | 41 (42.7) |
Preschoolers | 3 (12.5) | 24 (25.0) |
Schoolchildren and adolescents | 9 (37.59) | 31 (32.3) |
Diagnosis | ||
Respiratory | 8 (33.3) | 32 (33.7) |
Gastrointestinal | 7 (29.2) | 27 (28.4) |
Surgical | 4 (16.7) | 8 (8.4) |
Neurological | 4 (16.7) | 6 (6.3) |
Trauma | 1 (4.2) | 6 (6.3) |
Infectious | 0 | 16 (16.8) |
Gadgets | ||
Intravenous line | 22 (91.7) | 89 (92.7) |
Nebulization | 9 (37.5) | 36 (37.5) |
Cardiac monitor | 7 (29.2) | 8 (8.3) * |
Pulse oximeter | 6 (25.0) | 25 (26.0) |
Humidifier | 3 (12.5) | 11 (11.5) |
Drains or catheters | 1 (4.2) | 4 (4.2) |
Splints | 0 | 4 (4.2) |
Pulmonary physiotherapy | 0 | 5 (5.2) |
PSP, previous sleep problems.
*χ2 7.62, 1 degree of freedom, p = 0.005.
Sleep pattern behavior during hospitalization
We found differences between the PSP and the no PSP groups during the three days of in-hospital sleep pattern monitoring. Regarding the total duration of sleep during the day before hospitalization (Figure 1), the group with PSP slept on average 7.7 hours (± 1.7 h) versus 9.5 hours (± 1.4 h, p = 0.001) in the group with no PSP. We found that the sleep time during hospitalization increased in the group with PSP a mean of one hour more per day (at 24 h: 8.4 ± 1.8 h, and at 48 h: 9.3 ± 2 h, p = 0.0006) (Table 2). Conversely, the total sleep time decreased by one hour at 24 h (8.5 ± 2.4 h) but recovered at 48 h (9.9 ± 3.3 h) in children with no PSP (Figure 1).
Before hospitalization | 0-24 h | 0-48 h | |||||||
---|---|---|---|---|---|---|---|---|---|
PSP | No PSP | Group difference (95%CI) p-value* | PSP difference (95%CI) p-value** Mean ±SE | No PSP difference (95%CI) p-value** Mean ± SE | Group difference (95%CI) p-value* | PSP difference (95%CI) p-value** Mean ±SE | No PSP difference (95%CI) p-value** Mean ± SE | Group difference (95%CI) p-value* | |
Hours of sleep per day Mean ± SD |
7.7 ± 1.7 | 9.5 ±1.4 | 1.8 (1.16 - 2.5) < 0.001 | 0.74 ± 0.4 (0.2; 1.6) < 0.001 8.4 ± 0.3 | -1.01 ± 0.3 (-1.5; -0.47) 0.11 8.5 ± 0.2 | 0.07 (-0.9 - 1.1) 0.89 | 2.3 ± 0.47 (1.2 - 3.2) < 0.001 9.23 ± 0.5 | 0.4 ± 0.46 (-1.3 - 0.5) 0.41 9.9 ± 0.4 | 0.6 (-1.1 - 2.3) 0.85 |
Minutes to fall asleep Mean ± SD | 27.5 ± 29 | 12.8 ± 10 | -14.6 (-22 - -7.2) < 0.001 | -1.3 ± 9.3 (-17.9 - 20.6) 0.89 26.2 ± 7.7 | 7.5 ± 3.4 (0.8 - 14.2) 0.03 20.3 ± 3.4 | -5.7 (-21.4 - 9.8) 0.47 | 1.5 ± 14 (-31.7 - 28.7) 0.92 29.2 ± 14 | 6.4 ± 3.3 (0.3 - 13.1) 0.06 19.5 ± 3.3 | -9.7 (-28.8 - 9.4) 0.32 |
Minutes awake at night [med, Q1-Q3] |
10 [0.75-18.75] | 0 [0-10] | 0.01 | 2.1 (-12.5 - 18.5) 0.85 10 [4.5-16.2] | 4 (0.002 - 7.5) 0.06 5 [0-15] | 0.17 | 3.75 (-7 - 35) 0.35 3 [0-13.7] | 3 (2.5 - 10) 0.24 5 [0-15] | 0.28 |
Daytime naps [med, Q1-Q3] | 1 [0-2] | 0 (0-1] | <0.001 | 0 1.0 0.5 [0-2] | 0.8 (-1.1 - 0.6) 0.85 0 [0-1] | 0.70 | 0 1.0 0.5 [0-1.75] | 0.8 (-1.1 - 0.6) 0.85 1 [0-2] | 0.81 |
*Independent groups t-test or Mann Whitney's U-test;
**Student's t-test or Wilcoxon test (median and 95% confidence intervals by Hodges-Lehman estimate), p < 0.05.
CI, confidence interval; med, median; Q1-Q3, first and third quartile; PSP, previous sleep problems; SD, standard deviation; SE, standard error.
The time to initiate sleep was consistently longer in children with PSP history (p = 0.005) (Figure 2). In this group, the mean time in minutes needed to fall asleep before hospitalization was 27.5 min, while during hospitalization at 24 h, the mean was 26.1 min, and at 48 h, it was 29.2 min (p = 0.0001). In children with no PSP, the time was shorter; however, it increased during hospitalization: before hospitalization, the mean was 12.8 min, while during hospitalization, the mean at 24 h was 20.4 min and at 48 h, 19.5 min (p = 0.0001) (Table 2).
Regarding nighttime awakenings, they were more frequent before hospitalization in children with PSP [median 1 (min = 0, max = 7)] than the no PSP group [median 0 (min = 0, max = 2] (p < 0.001). However, during hospitalization, more than 50% of children with no PSP woke up at least once during the night (median 24 h: 1 [0,10] and 48 h: 1 [0,8]). Furthermore, the group with PSP had a median of one awakening with a maximum of 8 episodes (Mann Whitney's U-test between groups at 24 h, p = 0.52; at 48 h, p = 0.77). On most occasions, parents attributed these awakenings to alarms, the entry of medical and nursing staff into the room, or the performance of nebulization and pulmonary therapy.
The distribution of the time spent awake at night did not show a normal distribution, so it was analyzed using medians (Figure 3). The median awake time at night before hospitalization in the PSP group was 10 min, although it was reported that two children stayed awake for two hours one night. We observed no change in this median during the first 24 h. However, the median decreased to 3 min by 48 h, a time similar to the children with no PSP (p = 0.28) (Table 2). In the group with no PSP, none of the children had a history of awake episodes at night, but we observed an increase in this variable with a median of 5 min during the hospital stay.
Regarding daytime sleep (naps), the PSP group presented an average of one episode more than the no PSP group (p = 0.01) before hospitalization (Figure 4), and that influenced the total sleep time. However, during the in-hospital stay, the group with no PSP started to have daytime naps.
Furthermore, we observed that children from both groups woke up before the usual time at home (Figure 5). In the group with PSP, the mean time at 24 hours was 15 minutes earlier with no significant change at 48 h (mean 16, p = 0.96). In the group with no PSP, the mean time at 24 h was earlier (20 min) with no statistical significance (p = 0.62). However, at 48 h, this time was significantly reduced, with a mean of 10 min (p = 0.04).
Finally, in children with no PSP, 66.1% met at least two criteria to be considered as having impaired sleep during hospitalization at 24 h. At 48 h, this percentage was reduced to 33.8% (p = 0.006). In contrast, 50% met the criteria for disturbed sleep at 24 h and 58.3% at 48h in the group with PSP (p = 0.64).
Regarding the possible factors that modified the sleep pattern (Table 3), the parents' comments were related to the entry and exit of the healthcare personnel to the monitoring of vital signs and the patient's clinical condition. As this condition was present in all patients, it was not considered for the multivariable analysis.
Effect | After 24 hours of hospitalization | After 48 hours of hospitalization | ||
---|---|---|---|---|
Factors | Non-standardized beta (95%CI) | p-value | Non-standardized beta (95%CI) | p-value |
Total sleep hours | ||||
Previous sleep problems | 1.8 (0.6 - 2.9) | <0.001 | 1.7 (-0.3 - 3.7) | 0.10 |
Use of pulse oximeter | 2.5 (0.8 - 4.3) | <0.001 | 1.1 (-1.5 - 3.7) | 0.39 |
Intravenous line | -2.2 (- 4 - -0.3) | 0.02 | -3.5 (- 6.6 - -0.4)) | 0.03 |
Nebulization | -2.1 (-3.8 - -0.3) | 0.02 | -1.2 (-3.9 - 1.5) | 0.18 |
O2 with nasal tips | -4.7 (-10.3 - 0.9) | 0.10 | -5.4 (-12.8 - 2) | 0.15 |
Use of monitor | 0.8 (- 0.9 - 2.6) | 0.10 | 0.9 (-1.6 - 3.6) | 0.46 |
Drains or catheters | -0.8 (-3.1 - 1.4) | 0.47 | 4.6 (1.7 - 7.6) | <0.001 |
Humidification tower | 0.08 (-1.5 - 1.7) | 0.92 | -1.5 (-3.8 - 0.9) | 0.21 |
Minutes to fall asleep | ||||
Previous sleep problems | -12.1 (- 29.1 - 4.8) | 0.16 | -7.1 (- 29.1 - 14.7) | 0.53 |
Use of pulse oximeter | -7 (-31.5 - 17.4) | 0.57 | 20.5 (- 7.5 - 48.5) | 0.15 |
Intravenous line | 9.7 (- 16.9 - 36.3) | 0.07 | -14.6 (- 48 - 18.9) | 0.39 |
Nebulization | 8.1 (-16.8 - 33.1) | 0.11 | -12.7 (- 41.6 - 16.2) | 0.38 |
O2 with nasal tips | 20.8 (-58.9 - 100) | 0.61 | -19.5 (- 98 - 59.1) | 0.62 |
Use of monitor | 11.6 (- 0.9 - 2.6) | 0.36 | 4.6 (- 24 - 32.1) | 0.77 |
Drains or catheters | 34.8 (2.2 - 67.5) | 0.04 | -1.09 (- 32.4 - 30.2) | 0.94 |
Humidification tower | 1.6 (-21.3 - 24.6) | 0.89 | 5.8 (- 18.9 - 30.5) | 0.64 |
CI, confidence interval.
For total sleep time, we found a significant difference related to the history of PSP and pulse oximetry and the use of an IV line sleep time, the latter during the 48 h stay. For sleep time, a drainage catheter was the main factor influencing the first 24 h of hospitalization.
Discussion
Our data support previous studies regarding the modifying effect of hospitalization on the sleep pattern3,5 and add a differential effect according to PSP history. Contrary to our initial hypothesis, hospitalization seems to affect the sleep pattern in children with no PSP and even improved the sleep pattern in those with PSP. The prevalence of PSP in the studied children was 20%, slightly lower than that reported in other reviews2. In these children, evaluation of in-hospital monitoring during 48 hours confirmed an increase in sleep compared to that previously reported at home: 8.4 h for the first 24 h, and 9.3 h for the 48 h. This increase in total sleep time was associated with more nighttime awakenings and possible increased fatigue, as postulated by some authors6.
Usually, compensation for nighttime awakenings is the presence of short daytime sleeps (naps). These naps were observed in 49.1% of the children, with a higher frequency in those with a history of PSP. Although the medians were equal at one episode per day in both groups, there were up to three episodes in children with PSP. Crawford et al. found that 52% of their hospitalized patients reported taking a nap during the day. In the same study, it was found that these children were not getting an adequate amount of uninterrupted sleep5.
Hinds et al. and Linder and Christian reported 14 (n = 29) and 10.5-13 (n = 15) nocturnal awakenings, respectively, in hospitalized children with cancer6,7. Our study found a lower number of nocturnal awakenings and detected that these were more frequent in children with PSP, with a median of one awakening and a maximum of up to eight episodes per night. In the group with no PSP, 50% of the children presented at least one awakening episode at night during the 24 and 48 h of hospitalization (median 24 h: 1 [0-10] and 48 h: 1 [0-8]), slightly lower than Crawford et al., who reported an average of 2.7 awakenings per night5. The explanation may be related to the quick attendance of the alarms at night, as they sound directly at the nursing station, which reduces the attendance time and, consequently, the number of awakenings8.
The noise level for adequate sleep recommended by the World Health Organization averages 30 decibels9. Comparing this study with other previously reported findings, we found a resemblance in the environmental factors that influence nighttime awakenings. Of these factors, the most frequently mentioned are the sound of alarms and the presence of medical and nursing personnel in the room to evaluate the patient and monitoring vital signs. Some other factors found in these publications are missing home, concern about the school, uncomfortable beds, among others5,8,9.
One of our findings was that the time of awakening was earlier than the usual time at home in both groups. On average, both groups woke up 10 minutes earlier than usual, probably associated with the physicians' rounds and the blood and radiographic studies, usually performed between 6:00 and 7:00 am in the hospital.
In the study by Cidon and Alonso (2013)10, the sleep habits of 98 cancer patients were analyzed using a sleep diary. They reported a 43% prevalence of sleep pattern disturbances. They observed troubles falling asleep in 54%, trouble staying asleep in 18%, and early awakenings in 16%. Wesselius et al. (2017), in the Netherlands, found that hospitalized patients sleep on average 83 minutes less than they do at home. This result was mainly caused by premature awakenings of the participants earlier than usual (mean of 44 min)3. In our study, although early awakenings represented only 10 minutes, the leading causes for sleep pattern disturbances were noise and interruptions by the medical staff (sounding of alarms, entry and exit of medical personnel, and the performance of nebulization and pulmonary physiotherapy).
The relationship between sleep and the immune system is of particular interest. The mechanism by which infections tend to modify the sleep pattern is currently not well understood9. Regardless, one hypothesis is that the acute inflammatory response produced by infectious processes alters the expression of endogenous immunomodulatory substances (cytokines), resulting in sleep disturbance. These cytokines include tumor necrosis factor, interferons, and interleukins produced by the host during infection, for which it is believed that they may play a direct role in regulating sleep11.
Sleep fragmentation increases cortisol release, increases stress, alters mood, affects executive attention and active memory8,12. On the contrary, sleeping well improves pain tolerance and reduces analgesic requirements in children9.
Some of the limitations of our study are the sample size and that we conducted the study in only one medical unit. Another limitation of our study was that the instrument used to measure sleep quality might have been inaccurate; a better option would have been a sleep-sensor or even polysomnography13. Finally, it appears that hospitalization improved the sleep pattern in the PSP group. Unfortunately, as no subsequent follow-up was performed, this hypothesis cannot be confirmed.
Children with PSP are usually the most affected during hospitalization. Therefore, special attention should be paid to avoid perpetuating sleep disturbances. We recommend screening every child before admission to detect vulnerable patients and, thus, be more careful with the schedules of medical visits and procedures to avoid further alteration.
This study reinforces that the quality and quantity of sleep in children are affected during hospitalization. Our results support that hospitalization increases the time needed to fall asleep, the number of daytime naps, and nighttime awakenings, with a consequent reduction in total sleep time in children with no PSP.
In children with PSP, the effect of hospitalization on sleep pattern was less evident. Even sleep hygiene slightly improved in these children, which could support some problems given by the conditions at home.
We recommend the sleep assessment in all hospitalized children and consider strategies to promote restorative sleep times, minimizing as much as possible the procedures to avoid its interruption.