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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05159141
Other study ID # SCMCIRB-Y2020006
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date January 1, 2022
Est. completion date December 30, 2024

Study information

Verified date December 2021
Source Shanghai Jiao Tong University School of Medicine
Contact Jiang Fan, PhD
Phone 021-38626161
Email fanjiang@shsmu.edu.cn
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Over the last 40 years, obesity has increased dramatically among all age groups, especially in infants and young children, and became an important global public health challenge, thus early prevention is the highest priority. Emerging studies have found that infant sleep intervention is very likely to become one of the most important strategies for early obesity prevention. However, its action path is not clear, making the target of sleep intervention relatively vague. The role of circadian rhythm in human health status has received increasing attention in recent years. Both animal experiment-based studies and adult clinic-based studies have found significant effect of the circadian rhythm on obesity and other metabolic disorders. Therefore, the present research will establish a community-based 1:1 parallel multi-center randomized controlled trial of sleep intervention cohort in communities with highly rapid weight gain at the early infancy stage. Investigators will collect daily rhythm data, including sleep-wake rhythm, rest-activity rhythm, light-dark cycle, and feeding-fasting, as well as the real-world golden standard of circadian rhythm assessed by seven times saliva melatonin, to test the impact of the sleep intervention program, to determine the causal mechanism of circadian rhythm in the occurrence and  development of obesity and metabolic disorder early in life. Our study will provide a new theoretical basis for the establishment of the stable circadian rhythm for the prevention of infant obesity, which has important public health significance.


Description:

1. Research content 1.1 Study on the Reliability and Validity of Daily Circadian Rhythm of Infant and Young Child Behavior and Establishment of Circadian Circadian Rhythm Prediction Model In three study communities, 10 infants aged 4 months, 6 months, 12 months and 2 years old were recruited, with a total of 120 infants. Daily rhythms of sleep, activity, illumination and eating were collected by using portable device Actiwatch-2 and daily log book. Saliva at 7 time points (09: 00, 13: 00, 17: 00, 21: 00, 01: 00, 05: 00 and 09: 00) were collected to determine the level of melatonin as the gold standard for circadian rhythm of biological clocks under natural environment. The correlation between daily circadian rhythms and characteristics of melatonin secretion was determined. A model with high reliability was established by mathematical modeling. 1.2 Multicenter Cohort Study of Effects of Sleep Intervention on Metabolic Function in Childhood Obesity Methods: A 1: 1 parallel multicenter randomized controlled trial was conducted to recruit 80 infants from each of the control group and the intervention group at 28 days after birth. The control group was followed up for 5 times (28 days, 2 months, 4 months, 6 months and 12 months) of evidence-based infant sleep intervention on the basis of routine child care, and followed up until 2 years old. The main outcomes were changes in BMI z at 0-6 months of age and metabolic markers of obesity at 2 years of age, such as BMI z, subcutaneous fat, body composition and blood biochemistry. On the basis of descriptive analysis, the effects of sleep intervention on infant obesity metabolism and daily rhythm were determined, and the causal mechanism of circadian rhythm, obesity metabolic index and other factors were determined by using Bayesian causal network. 1.3 Verification of Predictive Models for Circadian Rhythms of Behavioral Clocks In the second part of the three study communities, the two groups were randomly selected 20 cases, a total of 120 infants and children. At 4 months, 6 months, 12 months and 2 years of age after birth, saliva samples were collected at 2 time points in addition to Actiwatch-2 and daily rhythm data, and melatonin levels were measured to validate the rhythm prediction model. 2. Research objectives Based on the concept of early prevention, this project focuses on the role of circadian rhythms in infant sleep intervention to prevent obesity and accomplishes the following two objectives: 2.1 To determine the intensity of correlation between the daily rhythm of infants and the characteristics of melatonin secretion rhythm of gold standard. Over mathematical modeling to establish high reliability and validity of behavioral biological clock circadian rhythm prediction model in infants and young children to verify and apply to sleep intervention multicenter cohort study. 2.2 To explore the effect of sleep intervention on infants by establishing a standard multicenter cohort of infant sleep intervention It is of great public health significance to provide high quality evidence for early prevention and control of childhood obesity and to design more pertinent prevention and control strategies.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 480
Est. completion date December 30, 2024
Est. primary completion date December 30, 2024
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 2 Months to 2 Years
Eligibility Inclusion Criteria: - Infants and young children: age 4 months, 6 months, 12 months, and 2 years old; - term single birth (37-42 weeks of gestation); - health inactive disease; - normal Griffiths developmental assessment; - natural vaginal delivery or social cesarean section; - Apgar score greater than 7 at birth for 1 or 5 minute. Exclusion Criteria: - Infants and young children: birth weight < 2500 g; - premature or multiple births; - prenatal ultrasonography indicating intrauterine growth retardation; - severe organic diseases of the baby after birth that have been hospitalized for treatment; - congenital malformations or diseases affecting the feeding of the baby (cleft lip and palate, metabolic diseases, etc.).

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Behavioral sleep intervention
The intervention consists of an infant behavioral sleep protocol. In the tailored intervention approach, parents are asked to implement the behavioral protocol at bedtime and at subsequent night wakings.

Locations

Country Name City State
China Shanghai children's medicial center affiliated shanghai jiaotong University School of Medicine Shanghai Shanghai

Sponsors (1)

Lead Sponsor Collaborator
Shanghai Jiao Tong University School of Medicine

Country where clinical trial is conducted

China, 

References & Publications (43)

Albrecht U, Ripperger JA. Circadian Clocks and Sleep: Impact of Rhythmic Metabolism and Waste Clearance on the Brain. Trends Neurosci. 2018 Oct;41(10):677-688. doi: 10.1016/j.tins.2018.07.007. Epub 2018 Sep 25. Review. — View Citation

Attanasio A, Borrelli P, Gupta D. Circadian rhythms in serum melatonin from infancy to adolescence. J Clin Endocrinol Metab. 1985 Aug;61(2):388-90. — View Citation

Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol. 2019 May;15(5):288-298. doi: 10.1038/s41574-019-0176-8. Review. — View Citation

Burki T. Nobel Prize awarded for discoveries in circadian rhythm. Lancet. 2017 Oct 14;390(10104):e25. doi: 10.1016/S0140-6736(17)32661-2. Epub 2017 Oct 12. — View Citation

Chellappa SL, Vujovic N, Williams JS, Scheer FAJL. Impact of Circadian Disruption on Cardiovascular Function and Disease. Trends Endocrinol Metab. 2019 Oct;30(10):767-779. doi: 10.1016/j.tem.2019.07.008. Epub 2019 Aug 16. Review. — View Citation

Deng Y, Wang G, Ye X, Jiang Y, Lin Q, Dong S, Song Y, Zhu L, Meng M, Li W, Zhu Q, Sun W, Jiang F. The association between 25-hydroxyvitamin D levels and children's sleep-wake patterns: a prospective cohort study. Sleep Med. 2020 Mar;67:207-214. doi: 10.10 — View Citation

Flanagan A, Bechtold DA, Pot GK, Johnston JD. Chrono-nutrition: From molecular and neuronal mechanisms to human epidemiology and timed feeding patterns. J Neurochem. 2021 Apr;157(1):53-72. doi: 10.1111/jnc.15246. Epub 2020 Dec 10. Review. — View Citation

Fontaine KR, Redden DT, Wang C, Westfall AO, Allison DB. Years of life lost due to obesity. JAMA. 2003 Jan 8;289(2):187-93. — View Citation

Franks PW, Hanson RL, Knowler WC, Sievers ML, Bennett PH, Looker HC. Childhood obesity, other cardiovascular risk factors, and premature death. N Engl J Med. 2010 Feb 11;362(6):485-93. doi: 10.1056/NEJMoa0904130. — View Citation

GBD 2015 Obesity Collaborators, Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, Marczak L, Mokdad AH, Moradi-Lakeh M, Naghavi M, Salama JS, Vos T, Abate KH, Abbafati C, Ahmed MB, Al-Aly Z, Alkerwi A, Al-Raddadi R, Amare AT, Amberbir A, Amegah — View Citation

Geserick M, Vogel M, Gausche R, Lipek T, Spielau U, Keller E, Pfäffle R, Kiess W, Körner A. Acceleration of BMI in Early Childhood and Risk of Sustained Obesity. N Engl J Med. 2018 Oct 4;379(14):1303-1312. doi: 10.1056/NEJMoa1803527. — View Citation

Gonçalves BS, Adamowicz T, Louzada FM, Moreno CR, Araujo JF. A fresh look at the use of nonparametric analysis in actimetry. Sleep Med Rev. 2015 Apr;20:84-91. doi: 10.1016/j.smrv.2014.06.002. Epub 2014 Jun 20. Review. — View Citation

Hale L, Troxel W, Buysse DJ. Sleep Health: An Opportunity for Public Health to Address Health Equity. Annu Rev Public Health. 2020 Apr 2;41:81-99. doi: 10.1146/annurev-publhealth-040119-094412. Epub 2020 Jan 3. — View Citation

Hamilton D, Dee A, Perry IJ. The lifetime costs of overweight and obesity in childhood and adolescence: a systematic review. Obes Rev. 2018 Apr;19(4):452-463. doi: 10.1111/obr.12649. Epub 2017 Dec 22. — View Citation

Hernández-García J, Navas-Carrillo D, Orenes-Piñero E. Alterations of circadian rhythms and their impact on obesity, metabolic syndrome and cardiovascular diseases. Crit Rev Food Sci Nutr. 2020;60(6):1038-1047. doi: 10.1080/10408398.2018.1556579. Epub 201 — View Citation

Jiang F, Zhu S, Yan C, Jin X, Bandla H, Shen X. Sleep and obesity in preschool children. J Pediatr. 2009 Jun;154(6):814-8. doi: 10.1016/j.jpeds.2008.12.043. Epub 2009 Feb 24. — View Citation

Jiang YR, Spruyt K, Chen WJ, Mei H, Sun WQ, Wang Y, Li SH, Luo ZC, Shen XM, Jiang F. Associations between parent-reported sleep duration and adiposity in Chinese early adolescents. J Public Health (Oxf). 2015 Jun;37(2):277-85. doi: 10.1093/pubmed/fdu049. — View Citation

Jiang YR, Spruyt K, Chen WJ, Shen XM, Jiang F. Somatic growth of lean children: the potential role of sleep. World J Pediatr. 2014 Aug;10(3):245-50. doi: 10.1007/s12519-014-0500-2. Epub 2014 Aug 15. — View Citation

Jones ME, Schoemaker MJ, McFadden EC, Wright LB, Johns LE, Swerdlow AJ. Night shift work and risk of breast cancer in women: the Generations Study cohort. Br J Cancer. 2019 Jul;121(2):172-179. doi: 10.1038/s41416-019-0485-7. Epub 2019 May 29. — View Citation

Juonala M, Magnussen CG, Berenson GS, Venn A, Burns TL, Sabin MA, Srinivasan SR, Daniels SR, Davis PH, Chen W, Sun C, Cheung M, Viikari JS, Dwyer T, Raitakari OT. Childhood adiposity, adult adiposity, and cardiovascular risk factors. N Engl J Med. 2011 No — View Citation

Komarzynski S, Bolborea M, Huang Q, Finkenstädt B, Lévi F. Predictability of individual circadian phase during daily routine for medical applications of circadian clocks. JCI Insight. 2019 Sep 19;4(18). pii: 130423. doi: 10.1172/jci.insight.130423. — View Citation

Kuhlman SJ, Craig LM, Duffy JF. Introduction to Chronobiology. Cold Spring Harb Perspect Biol. 2018 Sep 4;10(9). pii: a033613. doi: 10.1101/cshperspect.a033613. Review. — View Citation

Lewis P, Foster RG, Erren TC. Ticking time bomb? High time for chronobiological research. EMBO Rep. 2018 May;19(5). pii: e46073. doi: 10.15252/embr.201846073. Epub 2018 Apr 3. — View Citation

Lin QM, Spruyt K, Leng Y, Jiang YR, Wang GH, Dong SM, Mei H, Jiang F. Cross-cultural disparities of subjective sleep parameters and their age-related trends over the first three years of human life: A systematic review and meta-analysis. Sleep Med Rev. 20 — View Citation

Mason IC, Qian J, Adler GK, Scheer FAJL. Impact of circadian disruption on glucose metabolism: implications for type 2 diabetes. Diabetologia. 2020 Mar;63(3):462-472. doi: 10.1007/s00125-019-05059-6. Epub 2020 Jan 8. Review. — View Citation

Mohawk JA, Green CB, Takahashi JS. Central and peripheral circadian clocks in mammals. Annu Rev Neurosci. 2012;35:445-62. doi: 10.1146/annurev-neuro-060909-153128. Epub 2012 Apr 5. Review. — View Citation

Panda S. The arrival of circadian medicine. Nat Rev Endocrinol. 2019 Feb;15(2):67-69. doi: 10.1038/s41574-018-0142-x. Review. — View Citation

Paul IM, Savage JS, Anzman-Frasca S, Marini ME, Beiler JS, Hess LB, Loken E, Birch LL. Effect of a Responsive Parenting Educational Intervention on Childhood Weight Outcomes at 3 Years of Age: The INSIGHT Randomized Clinical Trial. JAMA. 2018 Aug 7;320(5) — View Citation

Piovezan RD, Hirotsu C, Moizinho R, de Sá Souza H, D'Almeida V, Tufik S, Poyares D. Associations between sleep conditions and body composition states: results of the EPISONO study. J Cachexia Sarcopenia Muscle. 2019 Oct;10(5):962-973. doi: 10.1002/jcsm.12 — View Citation

Prospective Studies Collaboration, Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J, Qizilbash N, Collins R, Peto R. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lanc — View Citation

Ray S, Reddy AB. Cross-talk between circadian clocks, sleep-wake cycles, and metabolic networks: Dispelling the darkness. Bioessays. 2016 Apr;38(4):394-405. doi: 10.1002/bies.201500056. Epub 2016 Feb 11. Review. — View Citation

Rust MJ, Golden SS, O'Shea EK. Light-driven changes in energy metabolism directly entrain the cyanobacterial circadian oscillator. Science. 2011 Jan 14;331(6014):220-3. doi: 10.1126/science.1197243. — View Citation

Savage JS, Birch LL, Marini M, Anzman-Frasca S, Paul IM. Effect of the INSIGHT Responsive Parenting Intervention on Rapid Infant Weight Gain and Overweight Status at Age 1 Year: A Randomized Clinical Trial. JAMA Pediatr. 2016 Aug 1;170(8):742-9. doi: 10.1 — View Citation

Sonntag D, Ali S, De Bock F. Lifetime indirect cost of childhood overweight and obesity: A decision analytic model. Obesity (Silver Spring). 2016 Jan;24(1):200-6. doi: 10.1002/oby.21323. Epub 2015 Dec 6. — View Citation

Sung H, Siegel RL, Torre LA, Pearson-Stuttard J, Islami F, Fedewa SA, Goding Sauer A, Shuval K, Gapstur SM, Jacobs EJ, Giovannucci EL, Jemal A. Global patterns in excess body weight and the associated cancer burden. CA Cancer J Clin. 2019 Mar;69(2):88-112 — View Citation

Taylor BJ, Gray AR, Galland BC, Heath AM, Lawrence J, Sayers RM, Cameron S, Hanna M, Dale K, Coppell KJ, Taylor RW. Targeting Sleep, Food, and Activity in Infants for Obesity Prevention: An RCT. Pediatrics. 2017 Mar;139(3). pii: e20162037. doi: 10.1542/pe — View Citation

Taylor RW, Gray AR, Heath AM, Galland BC, Lawrence J, Sayers R, Healey D, Tannock GW, Meredith-Jones KA, Hanna M, Hatch B, Taylor BJ. Sleep, nutrition, and physical activity interventions to prevent obesity in infancy: follow-up of the Prevention of Overw — View Citation

Turek FW, Joshu C, Kohsaka A, Lin E, Ivanova G, McDearmon E, Laposky A, Losee-Olson S, Easton A, Jensen DR, Eckel RH, Takahashi JS, Bass J. Obesity and metabolic syndrome in circadian Clock mutant mice. Science. 2005 May 13;308(5724):1043-5. Epub 2005 Apr — View Citation

Vetter C, Dashti HS, Lane JM, Anderson SG, Schernhammer ES, Rutter MK, Saxena R, Scheer FAJL. Night Shift Work, Genetic Risk, and Type 2 Diabetes in the UK Biobank. Diabetes Care. 2018 Apr;41(4):762-769. doi: 10.2337/dc17-1933. Epub 2018 Feb 12. — View Citation

Ward ZJ, Long MW, Resch SC, Giles CM, Cradock AL, Gortmaker SL. Simulation of Growth Trajectories of Childhood Obesity into Adulthood. N Engl J Med. 2017 Nov 30;377(22):2145-2153. doi: 10.1056/NEJMoa1703860. — View Citation

WHO-UNICEF- Lancet Commissioners. After COVID-19, a future for the world's children? Lancet. 2020 Aug 1;396(10247):298-300. doi: 10.1016/S0140-6736(20)31481-1. Epub 2020 Jul 2. — View Citation

Yamazaki S, Kerbeshian MC, Hocker CG, Block GD, Menaker M. Rhythmic properties of the hamster suprachiasmatic nucleus in vivo. J Neurosci. 1998 Dec 15;18(24):10709-23. — View Citation

Zhu B, Shi C, Park CG, Zhao X, Reutrakul S. Effects of sleep restriction on metabolism-related parameters in healthy adults: A comprehensive review and meta-analysis of randomized controlled trials. Sleep Med Rev. 2019 Jun;45:18-30. doi: 10.1016/j.smrv.20 — View Citation

* Note: There are 43 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Children's sleep condition A 7-day assessment of children's sleep condition was conducted by using Actiwatch (AMI) and a sleep diary. AMI is a sleep assessment system based on monitoring individual activity whose evaluation point is based on the sleep diary. 4 months old
Primary Children's sleep condition A 7-day assessment of children's sleep condition was conducted by using Actiwatch (AMI) and a sleep diary. AMI is a sleep assessment system based on monitoring individual activity whose evaluation point is based on the sleep diary. 6 months old
Primary Children's sleep condition A 7-day assessment of children's sleep condition was conducted by using Actiwatch (AMI) and a sleep diary. AMI is a sleep assessment system based on monitoring individual activity whose evaluation point is based on the sleep diary. 12 months old
Primary Children's sleep condition A 7-day assessment of children's sleep condition was conducted by using Actiwatch (AMI) and a sleep diary. AMI is a sleep assessment system based on monitoring individual activity whose evaluation point is based on the sleep diary. 2 years old
Primary Children's anthropometrics Weight in kilograms 4 months old
Primary Children's anthropometrics Weight in kilograms 6 months old
Primary Children's anthropometrics Weight in kilograms 12 months old
Primary Children's anthropometrics Weight in kilograms 2 years old
Primary Children's anthropometrics Length/height in centimeters 4 months old
Primary Children's anthropometrics Length/height in centimeters 6 months old
Primary Children's anthropometrics Length/height in centimeters 12 months old
Primary Children's anthropometrics Length/height in centimeters 2 years old
Primary Children's anthropometrics Weight and height will be combined to report BMI (calculated by weight divided by the square of length/height) in kg/m^2 4 months old
Primary Children's anthropometrics Weight and height will be combined to report BMI (calculated by weight divided by the square of length/height) in kg/m^2 6 months old
Primary Children's anthropometrics Weight and height will be combined to report BMI (calculated by weight divided by the square of length/height) in kg/m^2 12 months old
Primary Children's anthropometrics Weight and height will be combined to report BMI (calculated by weight divided by the square of length/height) in kg/m^2 2 years old
Primary Children's anthropometrics Arm circumference in centimeters 6 months old
Primary Children's anthropometrics Arm circumference in centimeters 12 months old
Primary Children's anthropometrics Arm circumference in centimeters 2 years old
Primary Children's anthropometrics Triceps skinfold thicknesses in centimeters 6 months old
Primary Children's anthropometrics Triceps skinfold thicknesses in centimeters 12 months old
Primary Children's anthropometrics Triceps skinfold thicknesses in centimeters 2 years old
Primary Children's anthropometrics Subscapular skinfold thicknesses in centimeters 6 months old
Primary Children's anthropometrics Subscapular skinfold thicknesses in centimeters 12 months old
Primary Children's anthropometrics Subscapular skinfold thicknesses in centimeters 2 years old
Primary Infant metabolism index Blood total cholesterol level 2 years old
Primary Infant metabolism index Blood high-density lipoprotein level 2 years old
Primary Infant metabolism index Blood low-density lipoprotein level 2 years old
Primary Infant metabolism index Blood triglycerides level 2 years old
Primary Infant metabolism index Fasting blood glucose level 2 years old
Primary Infant metabolism index Blood insulin level 2 years old
Primary Infant metabolism index Blood ghrelin level 2 years old
Primary Infant metabolism index Blood leptin level 2 years old
Primary Infant metabolism index Blood adiponectin level 2 years old
Primary Children's circadian rhythm Saliva melatonin levels at 7 Time Points (09: 00, 13: 00, 17: 00, 21: 00, 01: 00, 05: 00 and 09: 00) as the gold standard for circadian rhythms of biological clocks under natural environment. 4 months old
Primary Children's circadian rhythm Saliva melatonin levels at 7 Time Points (09: 00, 13: 00, 17: 00, 21: 00, 01: 00, 05: 00 and 09: 00) as the gold standard for circadian rhythms of biological clocks under natural environment. 6 months old
Primary Children's circadian rhythm Saliva melatonin levels at 7 Time Points (09: 00, 13: 00, 17: 00, 21: 00, 01: 00, 05: 00 and 09: 00) as the gold standard for circadian rhythms of biological clocks under natural environment. 12 months old
Primary Children's circadian rhythm Saliva melatonin levels at 7 Time Points (09: 00, 13: 00, 17: 00, 21: 00, 01: 00, 05: 00 and 09: 00) as the gold standard for circadian rhythms of biological clocks under natural environment. 2 years old
See also
  Status Clinical Trial Phase
Recruiting NCT04048785 - Behavioral Sleep Intervention and Infant Sleep and Social-emotional Development N/A