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Turan O, Garner J, Chang L, Isaiah A. Accuracy of parent-reported sleep duration among adolescents assessed using accelerometry. Pediatr Res 2024:10.1038/s41390-024-03393-z. [PMID: 38961167 DOI: 10.1038/s41390-024-03393-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 05/30/2024] [Accepted: 06/25/2024] [Indexed: 07/05/2024]
Abstract
IMPACT Parent-reported children's sleep duration is a primary outcome measure in population-level studies, and is the primary driver of pharmacotherapy such as melatonin. Accelerometry using the Fitbit suggests that few adolescents sleep for the optimal 9-12 h as recommended by the American Academy of Sleep Medicine, and most parent reports grossly overestimate average nightly sleep duration. Parent reports of adolescent sleep duration are unreliable, and quantitative assessment of children's sleep duration should be considered when a significant step such as pharmacotherapy is undertaken for sleep.
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Affiliation(s)
- Ozerk Turan
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jonathan Garner
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Amal Isaiah
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA.
- Institute for Health Computing, University of Maryland, Bethesda, USA.
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Danielsen YS, Pallesen S, Sivertsen B, Stormark KM, Hysing M. Weekday time in bed and obesity risk in adolescence. Obes Sci Pract 2021; 7:45-52. [PMID: 33680491 PMCID: PMC7909586 DOI: 10.1002/osp4.455] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 09/04/2020] [Accepted: 09/07/2020] [Indexed: 01/22/2023] Open
Abstract
INTRODUCTION Sleep curtailment is associated with obesity in children, but few studies have investigated this relationship in a longitudinal sample of adolescents. The aim of the present study was to examine the longitudinal association between weekday time in bed (TIB) at age 10-13 and overweight at age 16-19. METHODS Adolescents and their parents (N = 3025 families), participating in a longitudinal population-based study, completed questionnaires assessing habitual bedtime and wake time on weekdays, weight and height, socioeconomic status (SES), internalizing mental health problems and disturbed eating. Two surveys were administered with a 6-year interval (T1 and T2). A one-way analysis of covariance (ANCOVA) was performed examining the association between TIB and weight category 6 years later, with SES, internalizing problems and disturbed eating at baseline entered as covariates. Hierarchical and logistic regression analyses were used to assess TIB at age 10-13 years to as a predictor of body mass index (BMI) standardized deviation scores (SDS) and overweight status at age 16-19 adjusting for the same confounders and baseline BMI. RESULTS A linear inverse relationship between TIB at age 10-13 and BMI category at age 16-19 was demonstrated by the ANCOVA, p < 0.001. Shorter TIB was related to higher weight, but the effect size was small (partial eta squared = 0.01). When adjusting for the included baseline confounders in the hierarchical regression model TIB significantly predicted later BMI SDS (β = -0.039, p = 0.02). The adjusted logistic regression model showed that for each hour reduction of TIB at T1 the odds of being overweight/obese at T2 increased with a factor of 1.6. CONCLUSION Shorter TIB was found to be a significant, yet modest, independent predictor of later weight gain in adolescence. The findings implicate that establishing healthy sleep habits should be addressed in prevention and treatment strategies for adolescent obesity.
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Affiliation(s)
| | - Ståle Pallesen
- Department of Psychosocial ScienceUniversity of BergenBergenNorway
- Norwegian Competence Center for Sleep DisordersBergenNorway
| | - Børge Sivertsen
- Department of Health PromotionNorwegian Institute of Public HealthBergenNorway
- Department of Research & InnovationHelse Fonna HFHaugesundNorway
- Department of Mental HealthNorwegian University of Science and TechnologyTrondheimNorway
| | - Kjell Morten Stormark
- Regional Centre for Child and Youth Mental Health and Child WelfareNORCE Norwegian Research CentreBergenNorway
- Department of Health Promotion and DevelopmentUniversity of BergenBergenNorway
| | - Mari Hysing
- Department of Psychosocial ScienceUniversity of BergenBergenNorway
- Regional Centre for Child and Youth Mental Health and Child WelfareNORCE Norwegian Research CentreBergenNorway
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Lin J, Jiang Y, Wang G, Meng M, Zhu Q, Mei H, Liu S, Jiang F. Associations of short sleep duration with appetite-regulating hormones and adipokines: A systematic review and meta-analysis. Obes Rev 2020; 21:e13051. [PMID: 32537891 DOI: 10.1111/obr.13051] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 05/07/2020] [Accepted: 05/07/2020] [Indexed: 12/12/2022]
Abstract
In the current study, a systematic review and meta-analysis were conducted to summarize and assess whether short sleep duration is associated with appetite-regulating hormones and adipokine levels. Reference databases were searched for studies related to sleep and appetite-regulating hormones and adipokines. Qualitative and quantitative syntheses were conducted to evaluate the relationship between sleep duration and the level of appetite-regulating hormones and adipokines, including leptin, ghrelin, adiponectin, resistin, and orexin. Twenty-one of 3536 studies, covering a total of 2250 participants, met the inclusion criteria. Leptin, ghrelin, and adiponectin were included in the meta-analysis. Ghrelin levels were higher in the short sleep group (standard mean difference [SMD] = 0.14, 95% CI [0.03, 0.25], p = 0.01). Significant differences between the short sleep group and recommended sleep group were also noted in leptin level experimental subgroup studies (SMD = 0.19, 95% CI [0.03, 0.35], p = 0.02) and ghrelin level cross-sectional subgroup studies (SMD = 0.14, 95% CI [0.02, 0.27], p = 0.03). A rise in leptin and ghrelin levels were also observed in sleep deprivation groups (SMD = 0.24, 95% CI [0.10, 0.39], p = 0.001 and SMD = 0.18, 95% CI [0.04, 0.33], p = 0.01, respectively). In conclusion, short sleep duration is associated with an increased ghrelin level, while sleep deprivation had a significant effect on the levels of both leptin and ghrelin.
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Affiliation(s)
- Jianfei Lin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Meng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Mei
- Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Shijian Liu
- Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Wang L, Jansen W, Boere‐Boonekamp MM, Vlasblom E, L'Hoir MP, Beltman M, van Grieken A, Raat H. Sleep and body mass index in infancy and early childhood (6-36 mo): a longitudinal study. Pediatr Obes 2019; 14:e12506. [PMID: 30659783 PMCID: PMC6590411 DOI: 10.1111/ijpo.12506] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Revised: 11/19/2018] [Accepted: 12/08/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND Relatively, few longitudinal studies have evaluated the association between sleep and body mass index (BMI) among younger children. In addition, few studies have evaluated the bidirectional longitudinal association between sleep duration and child BMI. OBJECTIVE The objective of the study is to determine in children aged 6 to 36 months (1) the cross-sectional association of sleep duration and sleep problems with child BMI z score, (2) whether sleep duration predicts changes in child BMI z score, and (3) and whether BMI z score can predict changes in child sleep duration. METHODS This study used longitudinal data from the BeeBOFT study (N = 2308). Child sleep duration and sleep problems (indicated by night awakenings and sleep-onset latency) were parent reported, and child BMI was measured using a standardized protocol by trained healthcare professionals at approximately 6, 14, and 36 months of age. Linear mixed models and linear regression models were applied to assess the cross-sectional and bidirectional longitudinal associations between sleep and BMI z scores. RESULTS Cross sectionally, shorter sleep duration was associated with higher BMI z scores at 14 (β = -0.034, P < 0.05) and 36 months (β = -0.045, P < 0.05). Sleep duration at 6 or 14 months did not predict BMI z score at either 14 or 36 months. Higher BMI z scores at 6 months predicted shorter sleep duration (hours) at 14 months (β = -0.129, P < 0.001). No association was found between sleep problems and child BMI z scores. CONCLUSIONS Cross-sectional associations between shorter sleep duration and higher BMI z score emerged in early childhood (age 14 and 36 mo). Higher BMI z scores may precede shorter sleep duration but not vice versa.
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Affiliation(s)
- Lu Wang
- Department of Public HealthErasmus University Medical CenterRotterdamThe Netherlands
| | - Wilma Jansen
- Department of Public HealthErasmus University Medical CenterRotterdamThe Netherlands,Department of youth and educationCity of RotterdamRotterdamThe Netherlands
| | - Magda M. Boere‐Boonekamp
- Department Health Technology and Services Research, Technical Medical CentreUniversity of TwenteEnschedethe Netherlands
| | | | - Monique P. L'Hoir
- Department of Agrotechnology and Food Sciences, Subdivision Human NutritionWageningen University and ResearchWageningenThe Netherlands
| | | | - Amy van Grieken
- Department of Public HealthErasmus University Medical CenterRotterdamThe Netherlands
| | - Hein Raat
- Department of Public HealthErasmus University Medical CenterRotterdamThe Netherlands
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