Journal of Developmental Medicine(Electronic Version)  2025, Vol. 13 Issue (2): 96-102 DOI: 10.3969/j.issn.2095-5340.2025.02.003 |
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| Correlation between obesity and sleep status in children under portable sleep monitoring |
| Wang Dongni, Liu Qianqi, Chen Ran
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(1. Department of Children Health Care, Children’s Hospital of Soochow University, Jiangsu, Suzhou 215025, China; 2. Department of Children Health Care, Children’s Hospital of Nanjing Medical University, Jiangsu, Nanjing 210008, China
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Abstract 【Abstract】 Objective To explore the sleep characteristics and existing sleep problems of obese children,and to provide evidence for sleep monitoring and management of obese children. Method 68 obesechildren admitted to the Children's Hospital of Nanjing Medical University from May to December 2020were selected as the obese group, while 31 healthy children with normal body weight were selected as thecontrol group. Sleep monitoring was performed in the cardiopulmonary coupling (CPC) and the vital signsmonitoring bracelet. General information, total sleep time (TST), time in bed (TIB), sleeping time, lowestoxygen saturation (LSaO2), sleep efficiency, and 3% oxygen desaturation index (ODI3) and night wake timeof the two groups were compared. The incidence and severity of obstructive sleep apnea hypopnea syndrome(OSAHS) between the two groups were compared. The correlations between body mass index Z-score (BMI-Z)and sleep duration, sleep breathing, sleep structure and sleep efficiency were analyzed. Statistical methodsperformed by t-test, χ2 test and Pearson correlation analysis. Result CPC results showed that TST, TIBand sleeping time in the obese group were lower than those in the control group, and the differences werestatistically significant (all P<0.05). The results from the vital signs monitoring bracelet show that LSaO2,TST, TIB and sleep efficiency in the obese group were lower than those in the control group, the differenceswere statistically significant (all P<0.05); ODI3 and night wake time in the obese group were higher thanthose in the control group, and the differences were statistically significant (all P<0.01). The incidence ofOSAHS in the obese group was significantly higher than that in the control group [63.2% (43/68) vs 35.5%(11/31), χ2=6.614, P=0.010], and the degree of OSAHS in the obese group was more serious than that in thecontrol group (P<0.01). The results of Pearson correlation analysis showed that BMI-Z scores were negativelycorrelated with TST (CPC), TIB (CPC), TST (vital signs monitoring bracelet), and TIB (vital signs monitoringbracelet) (r values were -0.242, -0.337, -0.329, -0.202, respectively, all P<0.05); positively correlated with ODI3(bracelet) (r=0.316, P=0.001), and negatively correlated with LSaO2 (vital signs monitoring bracelet) (r=-0.262,P=0.009); negatively correlated with deep sleep time and effective deep sleep time (r values were -0.215, -0.227,
all P<0.05); negatively correlated with sleep efficiency (vital signs monitoring bracelet) (r=-0.262, P=0.009), andpositively correlated with nighttime awakening time (vital signs monitoring bracelet) (r=0.215, P=0.033). Conclusion The CPC and vital signs monitoring bracelet can be effective to assess the sleep status of obesechildren, helping early detection of sleep disorders such as OSAHS. Obesity is associated with poor sleepstatus, including less sleep time, difficulty falling asleep, sleep-disorganized breathing, less sleeping time, low sleep efficiency, and long night wake time. Weight control of obese children may help improve their sleep status.
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Received: 20 March 2024
Published: 31 March 2025
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