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Gebre A, Hawley N, Carskadon MA, Raynor H, Jelalian E, Owens J, Wing RR, Hart CN. Child routines moderate a brief behavioral intervention to enhance sleep in school-aged children. J Pediatr Psychol 2024; 49:365-371. [PMID: 38553029 PMCID: PMC11098045 DOI: 10.1093/jpepsy/jsae015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 05/18/2024] Open
Abstract
OBJECTIVE To examine whether child routines (the consistency or variation in children's daily routines, household responsibilities, discipline routines, and homework routines) moderated the effectiveness of a brief behavioral intervention to enhance sleep in school-aged children. METHODS Secondary analysis was conducted with a subset of 66 families with short sleeping (≤9.5 hr/day) children, 8-11 years old (female = 68%; mean age = 9.76, SD = 1.02) who completed the Child Routines Inventory at baseline and were then randomized to receive a behavioral sleep intervention (n = 32) or to control (n = 34). Sleep period was objectively measured using wrist actigraphy at baseline and 2 months post-randomization. Moderation analysis was performed using ordinary least squares regression using the PROCESS macro for SPSS. RESULTS Controlling for sleep period at baseline, treatment condition was significantly related to the sleep period at 2 months post-randomization, with the intervention group achieving a longer sleep period compared to the usual sleep period group (control) (b = 46.30, p < .01). Intervention response was moderated by child routines (b = 1.43, p < .05). Specifically, the intervention produced the greatest change in sleep period for children who engaged in greater routine behaviors at baseline than those who engaged in fewer routine behaviors. CONCLUSIONS Families that engage in routine behaviors may be better equipped to adopt the behavioral modifications required to get a good night's sleep. The findings highlight the importance of working with families to establish routine behaviors to improve responses to behavioral sleep interventions.
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Affiliation(s)
- Azeb Gebre
- Center for Obesity Research and Education, College of Public Health, Temple University, Philadelphia, PA, United States
| | - Nicola Hawley
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, United States
| | - Mary A Carskadon
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, United States
| | - Hollie Raynor
- Department of Nutrition, University of Tennessee at Knoxville, Knoxville, TN, United States
| | - Elissa Jelalian
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, United States
| | - Judith Owens
- Department of Neurology and Center for Pediatric Sleep Disorders, Boston Children’s Hospital, Boston, MA, United States
| | - Rena R Wing
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, United States
| | - Chantelle N Hart
- Center for Obesity Research and Education, College of Public Health, Temple University, Philadelphia, PA, United States
- Department of Social and Behavioral Science, College of Public Health, Temple University, Philadelphia, PA, United States
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Overman ML, Vrijkotte T, Sánchez Castro YM, Harskamp-van Ginkel MW, Hunsberger M, Renders CM, Kremers SPJ, Chinapaw MJM. The cross-sectional association of parental psychosocial status with children's Body Mass Index z-score and the mediating role of children's energy balance behaviors - the ABCD Study. PLoS One 2024; 19:e0302147. [PMID: 38683830 PMCID: PMC11057752 DOI: 10.1371/journal.pone.0302147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVE Investigate the cross-sectional association between the psychosocial status of mothers and fathers and the BMI z-scores of their 10 to 12-year-old children. Explore whether this association is mediated by children's diet, physical activity, screen time and sleep. Analyze the moderating effect of the educational levels of both the mother and father on the association. DESIGN In a cross-sectional study design, children's height and weight were measured following a standardized protocol. Parents completed the validated Depression Anxiety and Stress questionnaire, while diet quality, sports participation, time spent in bed and screen time were assessed through child-report using previously validated questions. PARTICIPANTS The data for this study were obtained from the Amsterdam Born Children and their Development study, involving children aged 10 to 12 years and both of their parents (N = 1315). RESULTS The majority, 80%, of the parents were highly educated and born in the Netherlands, and 68% of the children had a healthy BMI. Maternal or paternal psychosocial status was not significantly associated with children's BMI z-score (maternal β -0.0037; 95% CI: -0.008 to 0.0007, paternal β 0.0028; 95% CI: -0.007 to 0.002). Screen time mediated the association between paternal psychosocial status and children's BMI z-score (β = 0.010, 95% CI: 0.002; 0.020). Children's diet, physical activity, and sleep did not mediate the association between paternal psychosocial status and children's BMI z-score. Parental educational level was not a moderator. CONCLUSIONS This research is unique in including four energy balance behaviors and including both mothers and fathers' psychosocial status. Children withfathers experiencing poorer psychosocial status engaged in more screen time which partly explained their higher BMI z-score.
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Affiliation(s)
- Meredith L. Overman
- Department of Health Promotion, Maastricht University, Maastricht, Netherlands
- Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht, Netherlands
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
| | - Tanja Vrijkotte
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Yolanda M. Sánchez Castro
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
| | - Margreet W. Harskamp-van Ginkel
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Monica Hunsberger
- School of Public Health and Community Medicine, Sahlgrenska Academy, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Carry M. Renders
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stef P. J. Kremers
- Department of Health Promotion, Maastricht University, Maastricht, Netherlands
- Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht, Netherlands
| | - Mai J. M. Chinapaw
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
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Trost SG, Terranova CO, Brookes DSK, Chai LK, Byrne RA. Reliability and validity of rapid assessment tools for measuring 24-hour movement behaviours in children aged 0-5 years: the Movement Behaviour Questionnaire Baby (MBQ-B) and child (MBQ-C). Int J Behav Nutr Phys Act 2024; 21:43. [PMID: 38654342 DOI: 10.1186/s12966-024-01596-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 04/11/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The development of validated "fit-for-purpose" rapid assessment tools to measure 24-hour movement behaviours in children aged 0-5 years is a research priority. This study evaluated the test-retest reliability and concurrent validity of the open-ended and closed-ended versions of the Movement Behaviour Questionnaire for baby (MBQ-B) and child (MBQ-C). METHODS 300 parent-child dyads completed the 10-day study protocol (MBQ-B: N = 85; MBQ-C: N = 215). To assess validity, children wore an accelerometer on the non-dominant wrist (ActiGraph GT3X+) for 7 days and parents completed 2 × 24-hour time use diaries (TUDs) recording screen time and sleep on two separate days. For babies (i.e., not yet walking), parents completed 2 × 24-hour TUDs recording tummy time, active play, restrained time, screen time, and sleep on days 2 and 5 of the 7-day monitoring period. To assess test-retest reliability, parents were randomised to complete either the open- or closed-ended versions of the MBQ on day 7 and on day 10. Test-retest intraclass correlation coefficients (ICC's) were calculated using generalized linear mixed models and validity was assessed via Spearman correlations. RESULTS Test-retest reliability for the MBQ-B was good to excellent with ICC's ranging from 0.80 to 0.94 and 0.71-0.93 for the open- and closed-ended versions, respectively. For both versions, significant positive correlations were observed between 24-hour diary and MBQ-B reported tummy time, active play, restrained time, screen time, and sleep (rho = 0.39-0.87). Test-retest reliability for the MBQ-C was moderate to excellent with ICC's ranging from 0.68 to 0.98 and 0.44-0.97 for the open- and closed-ended versions, respectively. For both the open- and closed-ended versions, significant positive correlations were observed between 24-hour diary and MBQ-C reported screen time and sleep (rho = 0.44-0.86); and between MBQ-C reported and device-measured time in total activity and energetic play (rho = 0.27-0.42). CONCLUSIONS The MBQ-B and MBQ-C are valid and reliable rapid assessment tools for assessing 24-hour movement behaviours in infants, toddlers, and pre-schoolers. Both the open- and closed-ended versions of the MBQ are suitable for research conducted for policy and practice purposes, including the evaluation of scaled-up early obesity prevention programs.
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Affiliation(s)
- Stewart G Trost
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia.
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia.
| | - Caroline O Terranova
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia
| | - Denise S K Brookes
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia
| | - Li Kheng Chai
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia
- Health and Wellbeing Queensland, Queensland Government, Brisbane, Australia
| | - Rebecca A Byrne
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia
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Kwon A, Kim S, Choi Y, Kim HY, Lee M, Lee M, Lee HI, Song K, Suh J, Chae HW, Kim HS. Effects of Early Wake-Up Time on Obesity in Adolescents. Child Obes 2024; 20:188-197. [PMID: 37166826 PMCID: PMC10979690 DOI: 10.1089/chi.2023.0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Background: Although numerous studies have reported that obesity in adolescents is related to shorter sleep duration, few studies have reported the effect of sleep timing, particularly early wake-up time, on obesity. Objectives: To investigate the association between wake-up time and adolescent obesity. Methods: Using the Korean National Health and Nutrition Examination Survey VII data, 1301 middle school and high school students were selected and grouped according to BMI. Sleep timing and lifestyle factors were evaluated using self-reported questionnaires. Results: The mean bedtime and wake-up time were 00:09 am and 07:06 am, respectively. Despite similar bedtimes, the group with overweight/obesity woke up earlier than the group with underweight/normal weight. The BMI z-score and the overweight/obesity relative risk decreased as the wake-up time was delayed, even after adjustment for covariates. Participants who woke up before 06:50 am had a 1.82-fold higher risk of having overweight/obesity than those who woke up after 07:30 am. Participants who woke up late tended to sleep longer than those who woke up early. Conclusions: Waking up early is significantly associated with an increased BMI z-score in adolescents and may be a risk factor for overweight/obesity.
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Affiliation(s)
- Ahreum Kwon
- Department of Pediatrics, Severance Children's Hospital, Institute of Endocrinology, Yonsei University College of Medicine, Seoul, South Korea
| | - Sujin Kim
- Department of Pediatrics, Severance Children's Hospital, Institute of Endocrinology, Yonsei University College of Medicine, Seoul, South Korea
| | - Youngha Choi
- Department of Pediatrics, Kangwon National University Hospital, Kangwon National University College of Medicine, Kangwon, South Korea
| | - Ha Yan Kim
- Department of Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea
| | - Myeongjee Lee
- Department of Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea
| | - Myeongseob Lee
- Department of Pediatrics, Severance Children's Hospital, Institute of Endocrinology, Yonsei University College of Medicine, Seoul, South Korea
| | - Hae In Lee
- Department of Pediatrics, CHA Gangnam Medical Center, CHA University, Seoul, South Korea
| | - Kyungchul Song
- Department of Pediatrics, Severance Children's Hospital, Institute of Endocrinology, Yonsei University College of Medicine, Seoul, South Korea
| | - Junghwan Suh
- Department of Pediatrics, Severance Children's Hospital, Institute of Endocrinology, Yonsei University College of Medicine, Seoul, South Korea
| | - Hyun Wook Chae
- Department of Pediatrics, Severance Children's Hospital, Institute of Endocrinology, Yonsei University College of Medicine, Seoul, South Korea
| | - Ho-Seong Kim
- Department of Pediatrics, Severance Children's Hospital, Institute of Endocrinology, Yonsei University College of Medicine, Seoul, South Korea
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Lemes VB, Sehn AP, Reuter CP, Burns RD, Gaya AR, Gaya ACA, Brand C. Associations of sleep time, quality of life, and obesity indicators on physical literacy components: a structural equation model. BMC Pediatr 2024; 24:159. [PMID: 38454408 PMCID: PMC10921767 DOI: 10.1186/s12887-024-04609-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 01/31/2024] [Indexed: 03/09/2024] Open
Abstract
AIM To verify the association between ideal sleep time and physical literacy components while also considering multiple mediators, such as quality of life and obesity, using a sample of adolescents. METHODS This cross-sectional study consisted of 470 adolescents aged 11-17 years from southern Brazil. Sleep time, health-related quality of life, and physical literacy components (i.e., physical education enjoyment, sports participation, sedentary behavior, moderate to vigorous physical activity, sex, and age) were evaluated through self-reported questionnaires. In addition, body mass index (BMI), and waist circumference were determined. The theoretical/statistical support of the structural equation model was evaluated according to fit parameters and strength of association. RESULTS A direct association was observed between more sleep time and lower levels of obesity. The obesity indicators also had a negative association with HqOL, and HqOL had a positive association with physical literacy. The indirect associations indicated that the ideal sleep time was positively associated with HqOL and physical literacy components, considering the negative mediation effect of obesity. The model explains physical literacy in 31% of the variance (R = 0.31). CONCLUSION There was an indirect association between ideal sleep duration and quality of life and between both variables with physical literacy. These relationships occur even considering the negative influence of obesity. Therefore, a child who sleeps adequately has a higher likelihood of being physically active, regardless of obesity, potentially enhancing overall quality of life across various domains.
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Affiliation(s)
| | - Ana Paula Sehn
- University of Santa Cruz do Sul, Santa Cruz do Sul, Brazil
| | | | | | | | | | - Caroline Brand
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
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Nogueira-de-Almeida CA, Weffort VRS, Ued FDV, Ferraz IS, Contini AA, Martinez EZ, Ciampo LAD. What causes obesity in children and adolescents? J Pediatr (Rio J) 2024; 100 Suppl 1:S48-S56. [PMID: 37918812 PMCID: PMC10960191 DOI: 10.1016/j.jped.2023.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 09/17/2023] [Accepted: 09/18/2023] [Indexed: 11/04/2023] Open
Abstract
OBJECTIVE To present the different aspects that may be involved in the genesis and maintenance of obesity in children and adolescents. DATA SOURCE Narrative review of articles published in the PubMed, Scielo, Lilacs, Scopus and Google Scholar databases, using the search terms: overweight, obesity, pre-conception, prenatal, infants, schoolchildren, children, and adolescents. The search was conducted in studies written in Portuguese, English and Spanish, including narrative, integrative or systematic reviews, meta-analyses, cross-sectional, case-control and cohort studies, published between 2003 and 2023. DATA SYNTHESIS A total of 598 studies were initially screened and 60 of them, which showed the main biopsychosocial aspects related to greater risks of excessive adiposity in the pediatric age, were included in the review. The data were presented taking into account the incidence of risk factors and their consequences in six periods: pre-conception, pre-natal, infant, preschool, school age, and adolescence. CONCLUSIONS The causal factors described in the scientific literature that have been shown to be related to obesity in childhood and adolescence are presented.
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Affiliation(s)
| | | | - Fábio da V Ued
- Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, Departamento de Ciências da Saúde, Ribeirão Preto, SP, Brazil
| | - Ivan S Ferraz
- Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, Departamento de Puericultura e Pediatria, Ribeirão Preto, SP, Brazil
| | - Andrea A Contini
- Universidade Federal de São Carlos, Departamento de Medicina, São Carlos, SP, Brazil
| | - Edson Zangiacomi Martinez
- Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, Departamento de Medicina Social, Ribeirão Preto, SP, Brazil
| | - Luiz A Del Ciampo
- Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, Departamento de Puericultura e Pediatria, Ribeirão Preto, SP, Brazil
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Gou H, Song H, Tian Z, Liu Y. Prediction models for children/adolescents with obesity/overweight: A systematic review and meta-analysis. Prev Med 2024; 179:107823. [PMID: 38103795 DOI: 10.1016/j.ypmed.2023.107823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/12/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
The incidence of obesity and overweight in children and adolescents is increasing worldwide and becomes a global health concern. This study aims to evaluate the accuracy of available prediction models in early identification of obesity and overweight in general children or adolescents and identify predictive factors for the models, thus provide a reference for subsequent development of risk prediction tools for obesity and overweight in children or adolescents. Related publications were obtained from several databases such as PubMed, Embase, Cochrane Library, and Web of Science from their inception to September 18th, 2022. The novel Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed to assess the bias risk of the included studies. R4.2.0 and Stata15.1 softwares were used to conduct meta-analysis. This study involved 45 cross-sectional and/or prospective studies with 126 models. Meta-analyses showed that the overall pooled index of concordance (c-index) of prediction models for children/adolescents with obesity and overweight in the training set was 0.769 (95% CI 0.754-0.785) and 0.835(95% CI 0.792-0.879), respectively. Additionally, a large number of predictors were found to be related to children's lifestyles, such as sleep duration, sleep quality, and eating speed. In conclusions, prediction models can be employed to predict obesity/overweight in children and adolescents. Most predictors are controllable factors and are associated with lifestyle. Therefore, the prediction model serves as an excellent tool to formulate effective strategies for combating obesity/overweight in pediatric patients.
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Affiliation(s)
- Hao Gou
- Department of Pediatrics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Huiling Song
- Department of Emergency, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
| | - Zhiqing Tian
- Department of Emergency, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
| | - Yan Liu
- Department of Emergency, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China.
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Liu R, Figueroa R, Brink HV, Vorland CJ, Auckburally S, Johnson L, Garay J, Brown T, Simon S, Ells L. The efficacy of sleep lifestyle interventions for the management of overweight or obesity in children: a systematic review and meta-analysis. BMC Public Health 2024; 24:321. [PMID: 38287352 PMCID: PMC10825984 DOI: 10.1186/s12889-024-17708-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/09/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Childhood obesity remains a significant public health concern. Sleep duration and quality among children and youth are suboptimal worldwide. Accumulating evidence suggests an association between inadequate sleep and obesity risk, yet it is unclear whether this relationship is causal. This systematic review examines the efficacy of sleep interventions alone or as a part of lifestyle interventions for the management of overweight or obesity among children and adolescents. METHODS A keyword/reference search was performed twice, in January 2021 and May 2022 in MEDLINE/PubMed, EMBASE/Ovid, PsycINFO/EBSCO, The Cochrane Library, Web of Science Core Collection/Web of Science, SciELO/Web of Science, and CINAHL/EBSCO. Study eligibility criteria included youth with overweight or obesity between 5 and 17, were RCTs or quasi-randomized, and focused on the treatment of overweight and obesity with a sleep behavior intervention component. Risk of bias was assessed using the Cochrane Risk of Bias assessment tool (RoB2). A Meta-analysis was conducted to estimate the effect of interventions with a sleep component on BMI. The study protocol was registered in PROSPERO (CRD42021233329). RESULTS A total of 8 studies (2 quasi-experiments, 6 RCTs) met inclusion criteria and accounted for 2,231 participants across 7 countries. Only one study design isolated the effect of sleep in the intervention and reported statistically significant decreases in weight and waist circumference compared to control, though we rated it at high risk of bias. Our meta-analysis showed no significant overall effect on children's BMI as a result of participation in an intervention with a sleep component (Cohen's d = 0.18, 95% CI= -0.04, 0.40, Z = 1.56, P = .11), though caution is warranted due to substantial heterogeneity observed across studies (Tau2 = 0.08; X2 = 23.05, df = 7; I2 = 83.73%). CONCLUSIONS There were mixed results on the effect of sleep interventions across included studies on BMI, other weight-related outcomes, diet, physical activity, and sleep. Except for one study at low risk of bias, three were rated as 'some concerns' and four 'high risk of bias'. Findings from this study highlight the need for additional RCTs isolating sleep as a component, focusing on children and adolescents living with overweight and obesity.
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Affiliation(s)
- Ruyu Liu
- Division of Nutritional Sciences, College of Human Ecology, Cornell University, Ithaca, NY, USA
| | - Roger Figueroa
- Division of Nutritional Sciences, College of Human Ecology, Cornell University, Ithaca, NY, USA.
| | | | - Colby J Vorland
- Department of Epidemiology and Biostatistics, Indiana University, Bloomington, IN, USA
| | - Sameera Auckburally
- Department of Pediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK
| | - Lynn Johnson
- Cornell Statistical Consulting Unit, Cornell University, Ithaca, NY, USA
| | - Jessica Garay
- Falk College of Sport & Human Dynamics, Syracuse University, Syracuse, NY, USA
| | - Tamara Brown
- Obesity Institute, School of Health, Leeds Beckett University, Leeds, UK
| | - Stacey Simon
- Pediatrics - Pulmonary Medicine, Children's Hospital Colorado Anschutz Campus, Aurora, CO, USA
| | - Louisa Ells
- School of Clinical and Applied Sciences, Leeds Beckett University, Leeds, UK
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Calcaterra V, Rossi V, Tagi VM, Baldassarre P, Grazi R, Taranto S, Zuccotti G. Food Intake and Sleep Disorders in Children and Adolescents with Obesity. Nutrients 2023; 15:4736. [PMID: 38004130 PMCID: PMC10675320 DOI: 10.3390/nu15224736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 11/26/2023] Open
Abstract
Over the last few decades, numerous scientific studies have investigated the possible association between sleep duration and adiposity during childhood, since it has been reported that sleep deprivation causes a related increase in caloric intake. Even though the underlying pathogenetic mechanisms are still under study and not completely known, the effect of dietetic habits and nutrient intake on sleep quality and patterns has been reported. The aim of this study is to explore the intricate interplay between food intake/diet patterns and pediatric sleep disturbances in children and adolescents with obesity, emphasizing the importance of not underestimating this aspect in the prevention and treatment of this complex disease. Recent evidence supports a high correlation between specific diet patterns and foods with sleep disturbances in children at all ages. Diets rich in fiber, fruit, vegetables, and anti-inflammatory nutrients and low in saturated fats seem to promote better sleep quality. Sleep disturbances are, in turn, risk factors for the development of obesity. Therefore, food strategies should be applied to counteract this harmful process. Unraveling the complex links between dietary habits, sleep patterns, and obesity is essential for developing effective strategies to combat this critical public health issue.
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Affiliation(s)
- Valeria Calcaterra
- Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (V.R.); (V.M.T.); (P.B.); (R.G.); (S.T.); (G.Z.)
| | - Virginia Rossi
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (V.R.); (V.M.T.); (P.B.); (R.G.); (S.T.); (G.Z.)
| | - Veronica Maria Tagi
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (V.R.); (V.M.T.); (P.B.); (R.G.); (S.T.); (G.Z.)
| | - Paola Baldassarre
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (V.R.); (V.M.T.); (P.B.); (R.G.); (S.T.); (G.Z.)
| | - Roberta Grazi
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (V.R.); (V.M.T.); (P.B.); (R.G.); (S.T.); (G.Z.)
| | - Silvia Taranto
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (V.R.); (V.M.T.); (P.B.); (R.G.); (S.T.); (G.Z.)
| | - Gianvincenzo Zuccotti
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (V.R.); (V.M.T.); (P.B.); (R.G.); (S.T.); (G.Z.)
- Department of Biomedical and Clinical Science, University of Milano, 20157 Milano, Italy
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Lei T, Li M, Qian H, Yang J, Hu Y, Hua L. The Effect of Sleep on Metabolism, Musculoskeletal Disease, and Mortality in the General US Population: Analysis of Results From the National Health and Nutrition Examination Survey. JMIR Public Health Surveill 2023; 9:e46385. [PMID: 37934562 PMCID: PMC10664015 DOI: 10.2196/46385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/22/2023] [Accepted: 09/26/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Sleep is an important physiological behavior in humans that is associated with the occurrence and development of various diseases. However, the association of sleep duration with health-related outcomes, including obesity-related factors, musculoskeletal diseases, and mortality because of different causes, has not been systematically reported. OBJECTIVE This study aims to systematically investigate the effect of sleep duration on health-related outcomes. METHODS Overall, 54,664 participants with sleep information from 8 survey cycles of the National Health and Nutrition Examination Survey (2005-2020) were included in the analysis. Health-related outcomes comprised obesity-related outcomes (ie, BMI, obesity, waist circumference, and abdominal obesity), metabolism-related outcomes (ie, uric acid, hyperuricemia, and bone mineral density [BMD]), musculoskeletal diseases (ie, osteoarthritis [OA] and rheumatoid arthritis [RA]), and mortality because of different causes. The baseline information of participants including age, sex, race, educational level, marital status, total energy intake, physical activity, alcohol consumption, smoking, hypertension, and diabetes was also collected as covariates. Information about the metabolism index, disease status, and covariates was acquired from the laboratory, examination, and questionnaire data. Survival information, including survival status, duration, and cause of death, was obtained from the National Death Index records. Quantile regression models and Cox regression models were used for association analysis between sleep duration and health-related outcomes. In addition, the threshold effect analysis, along with smooth curve fitting method, was applied for the nonlinear association analysis. RESULTS Participants were divided into 4 groups with different sleep durations. The 4 groups showed significant differences in terms of baseline data (P<.001). The quantile regression analysis indicated that participants with increased sleep duration showed decreased BMI (β=-.176, 95% CI -.220 to -.133; P<.001), obesity (odds ratio [OR] 0.964, 95% CI 0.950-0.977; P<.001), waist circumference (β=-.219, 95% CI -.320 to -.117; P<.001), abdominal obesity (OR 0.975, 95% CI 0.960-0.990; P<.001), OA (OR 0.965, 95% CI 0.942-0.990; P=.005), and RA (OR 0.940, 95% CI 0.912-0.968; P<.001). Participants with increased sleep duration also showed increased BMD (β=.002, 95% CI .001-.003; P=.005), as compared with participants who slept <5.5 hours. A significant saturation effect of sleep duration on obesity, abdominal obesity, and hyperuricemia was detected through smooth curve fitting and threshold effect analysis (sleep duration>inflection point). In addition, a significant threshold effect of sleep duration on BMD (P<.001); OA (P<.001); RA (P<.001); and all-cause (P<.001), cardiovascular disease-cause (P<.001), cancer-cause (P=.005), and diabetes-cause mortality (P<.001) was found. The inflection point was between 6.5 hours and 9 hours. CONCLUSIONS The double-edged sword effect of sleep duration on obesity-related outcomes, embolism-related diseases, musculoskeletal diseases, and mortality because of different causes was detected in this study. These findings provided epidemiological evidence that proper sleep duration may be an important factor in the prevention of multisystem diseases.
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Affiliation(s)
- Ting Lei
- Department of Orthopedic Surgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center of Biomedical Metal and Ceramic Implants, Xiangya Hospital, Central South University, Changsha, China
| | - Mingqing Li
- Department of Orthopedic Surgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center of Biomedical Metal and Ceramic Implants, Xiangya Hospital, Central South University, Changsha, China
| | - Hu Qian
- Department of Orthopaedic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Junxiao Yang
- Department of Orthopedic Surgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center of Biomedical Metal and Ceramic Implants, Xiangya Hospital, Central South University, Changsha, China
| | - Yihe Hu
- Department of Orthopedic Surgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center of Biomedical Metal and Ceramic Implants, Xiangya Hospital, Central South University, Changsha, China
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
- College of Medicine, Zhejiang University, Hangzhou, China
| | - Long Hua
- Department of Orthopedic Surgery, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Key Laboratory of High Incidence Disease Research in Xinjiang, Ministry of Education, Xinjiang Medical University, Urumqi, China
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11
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Michaud L, Sharedalal P, Seplowe M, Rosenzveig A, Frishman WH, Aronow WS. Hyperlipidemia in Children and Adolescents. Cardiol Rev 2023; 31:330-335. [PMID: 35700367 DOI: 10.1097/crd.0000000000000465] [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] [Indexed: 11/26/2022]
Abstract
While coronary artery disease (CAD) is thought to be a disease of adulthood, atherosclerosis can originate in childhood and adolescence. There is a paucity of randomized controlled treatment trials regarding dyslipidemia among the younger population. However, it is apparent that childhood dyslipidemia is associated with an earlier onset of CAD. Most recent guidelines by the American College of Cardiology (ACC) and American Heart Association (AHA) focus on lifestyle modification and lifetime risk of atherosclerotic disease, as well as adequate screening measures. Genetic factors, environmental contributors such as pollution, obesity linked to poor nutrition, and sedentary lifestyles are shown to be associated with increased lipid levels and early CAD among children and adolescents. Familial hyperlipidemia is one of the most prevalent genetic diseases and can affect 1 in 250 individuals. A multimodal treatment plan is most effective for children and adolescents with dyslipidemia including lifestyle changes (a modified diet and moderate physical activity) and pharmacologic intervention. The mainstay of pharmacologic treatment for childhood dyslipidemia is similar to that of adults. Statins are the most widely used medications. Newer medications have proven integral in treatment for genetic dyslipidemias including evolocumab and evinacumab.
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Affiliation(s)
- Liana Michaud
- From the Department of Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
| | - Parija Sharedalal
- Department of Cardiology, Westchester Medical Center and New York Medical College, Valhalla, NY
| | - Matthew Seplowe
- From the Department of Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
| | | | - William H Frishman
- From the Department of Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
| | - Wilbert S Aronow
- Department of Cardiology, Westchester Medical Center and New York Medical College, Valhalla, NY
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12
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López-Gil JF, Tapia-Serrano MA, Sevil-Serrano J, Sánchez-Miguel PA, García-Hermoso A. Are 24-hour movement recommendations associated with obesity-related indicators in the young population? A meta-analysis. Obesity (Silver Spring) 2023; 31:2727-2739. [PMID: 37726964 DOI: 10.1002/oby.23848] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/08/2023] [Accepted: 06/04/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVE This study aimed to determine the relationship between meeting all three 24-hour movement recommendations (i.e., physical activity, sleep duration, and screen time) and obesity-related indicators among young people. METHODS Four databases were systematically searched (PubMed, Scopus, Web of Science, and Cochrane Library). RESULTS Meeting the 24-hour movement recommendations was cross-sectionally associated with lower overall obesity-related indicators (r = -0.09, 95% CI: -0.11 to -0.06), but no longitudinal association was found. Regarding each obesity-related indicator separately, meeting all three recommendations was related to lower odds of overweight/obesity (odds ratio = 0.65, 95% CI: 0.56 to 0.76) and obesity alone (odds ratio = 0.28, 95% CI: 0.16 to 0.50). An inverse relationship between meeting 24-hour movement recommendations and BMI, BMI z score, waist circumference, and body fat was also found. Regarding subgroup analysis, the association between 24-hour movement recommendations and overall obesity-related indicators was similar regardless of sex, comparison used (meeting all three vs. not meeting [i.e., those who met zero to two of the movement behaviors] or meeting all three vs. none), and type of measure to assess 24-hour movement recommendations (i.e., self-reported or accelerometer-based measures). CONCLUSIONS Meeting all 24-hour movement recommendations may be a crucial factor in maintaining a healthy weight status in the young population.
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Affiliation(s)
- José Francisco López-Gil
- Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra, IdiSNA, Pamplona, Spain
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts, USA
- One Health Research Group, Universidad de Las Américas, Quito, Ecuador
| | - Miguel Angel Tapia-Serrano
- Department of Didactics of Musical, Plastic and Body Expression, Faculty of Teaching Training, University of Extremadura, Avenida de la Universidad, Cáceres, Spain
| | - Javier Sevil-Serrano
- Department of Didactics of Musical, Plastic and Body Expression, Faculty of Teaching Training, University of Extremadura, Avenida de la Universidad, Cáceres, Spain
| | - Pedro Antonio Sánchez-Miguel
- Department of Didactics of Musical, Plastic and Body Expression, Faculty of Teaching Training, University of Extremadura, Avenida de la Universidad, Cáceres, Spain
| | - Antonio García-Hermoso
- Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra, IdiSNA, Pamplona, Spain
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13
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Kanda K, Hirao T, Ngatu NR, Murakami A, Yamadori Y, Yokoyama K, Hoshikawa Y, Minamino T. A Comparison of Sleep Duration Accuracy Between Questionnaire and Accelerometer in Middle Childhood. Cureus 2023; 15:e47236. [PMID: 38021822 PMCID: PMC10656112 DOI: 10.7759/cureus.47236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose Healthy sleep is vital to children's well-being, and assessing sleep efficiently and accurately can help understand children's lifestyles. Due to the difficulty in objectively measuring sleep duration using wearable sensors in large-scale surveys of children, self-administered questionnaires are often used in Japan; however, their accuracy is uncertain. We evaluated and compared the accuracy of questionnaire-based sleep times to those of wearable sensors. Methods This observational study was conducted between November 2019 and January 2020. A self-administered questionnaire on lifestyle habits and ActiGraph GT3X+ (ActiGraph, Inc., Pensacola, USA) accelerometer data were collected from 40 fourth-grade elementary school students in Kagawa Prefecture, Japan. We analyzed measurements for 256 days out of 280 days (40 persons × 7 days) after excluding days when the rate of wearing the accelerometer was < 90%. Results The median sleep duration per accelerometry was 453 minutes, and the median time in bed was 519 minutes. Questionnaire-based time in bed was 11 minutes longer, with relatively high inter-individual variability. The difference in bedtime was 26 minutes earlier, and wake-up time was 12 minutes earlier for the questionnaire. The average sleep efficiency was 87.4%, and one-third of the children had sleep efficiency < 85%. Conclusion The difference in sleep duration by questionnaire compared to accelerometry was approximately 10 minutes, suggesting the questionnaire may determine sleep duration with accuracy.
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Affiliation(s)
- Kanae Kanda
- Department of Public Health, Faculty of Medicine, Kagawa University, Miki, JPN
| | - Tomohiro Hirao
- Department of Public Health, Faculty of Medicine, Kagawa University, Miki, JPN
| | - Nlandu R Ngatu
- Department of Public Health, Faculty of Medicine, Kagawa University, Miki, JPN
| | - Akitsu Murakami
- Department of Palliative Care, Faculty of Medicine, Kagawa University, Miki, JPN
| | - Yusuke Yamadori
- Department of Anesthesiology, Takamatsu Red Cross Hospital, Takamatsu, JPN
| | - Katsunori Yokoyama
- Department of Health and Welfare, Kagawa Prefecture Tosan Health and Welfare Office, Takamatsu, JPN
| | - Yoichi Hoshikawa
- Department of Health and Welfare, Kagawa Prefectural Government Office, Takamatsu, JPN
| | - Tetsuo Minamino
- Department of Cardiorenal and Cerebrovascular Medicine, Faculty of Medicine, Kagawa University, Miki, JPN
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14
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McKay CD, Gubhaju L, Gibberd AJ, McNamara BJ, Macniven R, Joshy G, Roseby R, Williams R, Yashadhana A, Fields T, Porykali B, Azzopardi P, Banks E, Eades SJ. Health behaviours associated with healthy body composition among Aboriginal adolescents in Australia in the 'Next Generation: Youth Well-being study'. Prev Med 2023; 175:107715. [PMID: 37775084 DOI: 10.1016/j.ypmed.2023.107715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/21/2023] [Accepted: 09/23/2023] [Indexed: 10/01/2023]
Abstract
This study described the distribution of healthy body composition among Aboriginal adolescents in Australia aged 10-24 years and examined associations with health behaviours and self-rated health. Data were cross-sectional from the 'Next Generation: Youth Well-being study' baseline (N = 1294). We used robust Poisson regression to quantify associations of self-reported health behaviours (physical activity, screen time, sleep, consumption of vegetables, fruit, soft drinks and fast food, and tobacco smoking and alcohol) and self-rated health to healthy body mass index (BMI) and waist/height ratio (WHtR). Overall, 48% of participants had healthy BMI and 64% healthy WHtR, with healthy body composition more common among younger adolescents. Higher physical activity was associated with healthy body composition (5-7 days last week vs none; adjusted prevalence ratio (aPR) healthy BMI 1.31 [95% CI 1.05-1.64], and healthy WHtR 1.30 [1.10-1.54]), as was recommended sleep duration (vs not; aPR healthy BMI 1.56 [1.19-2.05], and healthy WHtR 1.37 [1.13-1.67]). There was a trend for higher proportion of healthy body composition with more frequent fast food consumption. Healthy body composition was also associated with higher self-rated health ('very good/excellent' vs 'poor/fair'; aPR healthy BMI 1.87 [1.45-2.42], and healthy WHtR 1.71 [1.40-2.10]). Culturally appropriate community health interventions with a focus on physical activity and sleep may hold promise for improving body composition among Aboriginal adolescents.
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Affiliation(s)
- Christopher D McKay
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
| | - Lina Gubhaju
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Alison J Gibberd
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Bridgette J McNamara
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Rona Macniven
- School of Population Health, UNSW, Sydney, NSW, Australia
| | - Grace Joshy
- Centre for Public Health Data and Policy, National Centre for Epidemiology and Population Health, College of Health & Medicine, Australian National University, Canberra, ACT, Australia
| | - Robert Roseby
- Department of Respiratory Medicine, Monash Children's Hospital, Melbourne, VIC, Australia; Department of Paediatrics, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Robyn Williams
- Curtin Medical School, Curtin University, Perth, WA, Australia
| | - Aryati Yashadhana
- School of Population Health, UNSW, Sydney, NSW, Australia; Centre for Primary Health Care & Equity, UNSW, Sydney, NSW, Australia
| | - Ted Fields
- School of Population Health, UNSW, Sydney, NSW, Australia; Centre for Primary Health Care & Equity, UNSW, Sydney, NSW, Australia
| | - Bobby Porykali
- Guunu-maana (Heal) Aboriginal and Torres Strait Islander Health Program, The George Institute for Global Heath, Sydney, NSW, Australia
| | - Peter Azzopardi
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Telethon Kids Institute, Perth, WA, Australia
| | - Emily Banks
- Centre for Public Health Data and Policy, National Centre for Epidemiology and Population Health, College of Health & Medicine, Australian National University, Canberra, ACT, Australia
| | - Sandra J Eades
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
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15
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Catalán-Lambán A, Ojeda-Rodríguez A, Marti Del Moral A, Azcona-Sanjulian C. Changes in objectively measured sleep after a multidisciplinary lifestyle intervention in children with abdominal obesity: A randomized trial. Sleep Med 2023; 109:252-260. [PMID: 37487278 DOI: 10.1016/j.sleep.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/30/2023] [Accepted: 07/07/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND/OBJECTIVE childhood obesity and sleep disorders have a well-established cross-sectional association, but lifestyle interventions' effects on sleep quality remain under-researched. This study aimed to evaluate the sleep quality of 122 participants (7-16 years) with abdominal obesity after a 2-year necessary lifestyle intervention. PATIENTS/METHODS participants were assigned to either the intervention group (moderate hypocaloric Mediterranean Diet) or the usual care group (standard recommendations on a healthy diet). Sleep was objectively assessed using triaxial accelerometry, and sleep parameters analyzed included latency, efficiency, wake after sleep onset, total time in bed, total sleep time, number of awakenings, and awakening duration. RESULTS AND CONCLUSIONS the results showed that the intervention group significantly improved sleep latency at 12 and 24 months and improved sleep efficiency at 2 and 12 months, compared to the usual care group. Wake after sleep onset and the number of awakenings were significantly reduced at 24 months in the intervention group. Wake after sleep onset and leptin levels were positively associated in all participants. Total time in bed was inversely associated with triglycerides and metabolic score, and total sleep time was inversely associated with leptin, triglycerides, and metabolic score after the 2-month intervention. Triglyceride levels were inversely associated with total time in bed and total sleep time at one year, while the metabolic score was directly associated with wake after sleep onset and the number of awakenings and inversely associated with efficiency. In conclusion, the multidisciplinary intervention in children and adolescents with abdominal obesity reduced anthropometric parameters and improved sleep habits.
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Affiliation(s)
- Ana Catalán-Lambán
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - Ana Ojeda-Rodríguez
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Spain; Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
| | - Amelia Marti Del Moral
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Institute of Research of Navarra (IdisNa), Pamplona, Spain
| | - Cristina Azcona-Sanjulian
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain; Institute of Research of Navarra (IdisNa), Pamplona, Spain.
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16
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Gavela-Pérez T, Parra-Rodríguez A, Vales-Villamarín C, Pérez-Segura P, Mejorado-Molano FJ, Garcés C, Soriano-Guillén L. Relationship between eating habits, sleep patterns and physical activity and the degree of obesity in children and adolescents. ENDOCRINOL DIAB NUTR 2023; 70 Suppl 3:10-17. [PMID: 37596175 DOI: 10.1016/j.endien.2023.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/15/2022] [Indexed: 08/20/2023]
Abstract
INTRODUCTION Childhood obesity is an extremely prevalent pathology and, in order to be able to address it, it is necessary to understand the factors that influence on its genesis and maintenance. We hypothesise that the timing of meals and sleep, the regularity of these throughout the week and a sedentary lifestyle influence the degree of obesity. MATERIAL AND METHODS We included children and adolescents with obesity who attended a first check-up visit at the Childhood Obesity Unit between January 2018 and February 2020. The data were obtained from a questionnaire on food (36-h intake, frequency of consumption, eating times and habits) and sleep. RESULTS The degree of obesity was influenced to a greater extent by later meal times and the distribution of calories throughout the day (less at breakfast, more at dinner) than by the total number of calories ingested. In addition, a lower consumption of vegetables was related to a higher degree of obesity. The difference between the hours of sleep at weekends and on weekdays correlated positively with a higher degree of obesity. Finally, the anthropometric data correlated negatively with the number of hours of physical activity. Almost half of the children did not exercise after school. CONCLUSION In the approach to childhood obesity, it is necessary to include recommendations on the regularity of meal and sleep times, as well as the distribution of calories throughout the day. Additionally, it is necessary to encourage the practice of physical exercise.
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Affiliation(s)
- Teresa Gavela-Pérez
- Unidad de Endocrinología Infantil, Servicio de Pediatría, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Madrid, Spain.
| | - Alejandro Parra-Rodríguez
- Unidad de Endocrinología Infantil, Servicio de Pediatría, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Madrid, Spain
| | - Claudia Vales-Villamarín
- Laboratorio de Lípidos, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain
| | - Pilar Pérez-Segura
- Unidad de Endocrinología Infantil, Servicio de Pediatría, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Madrid, Spain
| | - Francisco Javier Mejorado-Molano
- Unidad de Endocrinología Infantil, Servicio de Pediatría, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Madrid, Spain
| | - Carmen Garcés
- Laboratorio de Lípidos, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain
| | - Leandro Soriano-Guillén
- Unidad de Endocrinología Infantil, Servicio de Pediatría, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Madrid, Spain
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17
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Mendez I, Fasano MV, Orden AB. Exploring factors associated with obesity in Argentinian children using structural equation modeling. CAD SAUDE PUBLICA 2023; 39:e00087822. [PMID: 37585902 PMCID: PMC10494703 DOI: 10.1590/0102-311xen087822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 03/09/2023] [Accepted: 04/20/2023] [Indexed: 08/18/2023] Open
Abstract
Habits and behaviors related to obesity risk are strongly associated with the family environment and are affected by socioeconomic factors. Structural equation modeling (SEM) allows us to hypothesize on how the relationships between these factors occur and measure their impact. This study aimed to explore the relationship between family socioeconomic indicators and childhood obesity, mediated by habits linked to energy balance, applying a SEM. A cross sectional study was performed on 861 Argentinian schoolchildren aged 6-12 years, from 2015 to 2016. The model included three latent variables: socioeconomic status, healthy habits, and obesity. Socioeconomic status indicators and healthy habits were surveyed by self-administered parental questionnaires, whereas obesity indicators were evaluated with anthropometry. The applied model showed an acceptable fit (NFI = 0.966; CFI = 0.979; RMSEA = 0.048). Socioeconomic status positively influenced parental education, health insurance, and car possession, while negatively influenced crowding (p < 0.001). Healthy habits significantly influenced physical activity, meals frequency, and sleep hours, while negatively influenced sedentary hours and mother's nutritional status (p < 0.001). Obesity factor positively influenced body mass index, body fat, and waist-to-height ratio (p < 0.001). Finally, socioeconomic status positively influenced health habits, which in turn negatively influenced obesity factor. Healthy habits (especially physical activity and mother's nutritional status) mediated the relationship between socioeconomic status and child obesity. Further research should include other indicators related to diet, eating habits, and physical activity like neighborhood characteristics.
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Affiliation(s)
- Ignacio Mendez
- Instituto de Desarrollo e Investigaciones Pediátricas, Buenos Aires, Argentina
| | - María Victoria Fasano
- Instituto de Desarrollo e Investigaciones Pediátricas, Buenos Aires, Argentina
- Centro de Matemática La Plata, Facultad de Ciencias Exactas, La Plata, Argentina
| | - Alicia B Orden
- Centro de Salud e Investigaciones Médicas, La Pampa, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
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18
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Hepsomali P, Zandstra EH, Wanders AJ, O’Neill BV, Alfonso-Miller P, Ellis JG. An Examination of the Associations between Nutritional Composition, Social Jet Lag and Temporal Sleep Variability in Young Adults. Nutrients 2023; 15:3425. [PMID: 37571362 PMCID: PMC10421032 DOI: 10.3390/nu15153425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 07/28/2023] [Accepted: 07/29/2023] [Indexed: 08/13/2023] Open
Abstract
While dietary intake has previously been related to various indices of poor sleep (e.g., short sleep duration, poor sleep quality), to date, few studies have examined chrononutrition from the perspectives of the relationship between dietary intake and social jet lag and temporal sleep variability. Moreover, recently it has been suggested that previous methods of measuring social jet lag have the potential to lead to large overestimations. Together, this precludes a clear understanding of the role of nutritional composition in the pathophysiology of poor sleep, via social jet lag and temporal sleep variability, or vice versa. The aim of the present study was to determine the relationships between nutrient intake and social jet lag (using a revised index, taking account of intention to sleep and sleep onset and offset difficulties), and temporal sleep variability. Using a cross-sectional survey, 657 healthy participants (mean age 26.7 ± 6.1 years), without sleep disorders, were recruited via an online platform and completed measures of weekly dietary intake, social jet lag, temporal sleep variability, stress/sleep reactivity and mood. Results showed limited associations between nutritional composition and social jet lag. However, levels of temporal sleep variability were predicted by consumption of polyunsaturated fats, sodium, chloride and total energy intake. The results suggest further examinations of specific nutrients are warranted in a first step to tailoring interventions to manage diet and temporal variabilities in sleep patterns.
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Affiliation(s)
- Piril Hepsomali
- School of Psychology, University of Roehampton, London SW15 5PJ, UK;
| | - Elizabeth H. Zandstra
- Unilever Foods Innovation Centre Wageningen, Bronland 14, 6708 WH Wageningen, The Netherlands; (E.H.Z.); (A.J.W.)
- Division of Human Nutrition & Health, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Anne J. Wanders
- Unilever Foods Innovation Centre Wageningen, Bronland 14, 6708 WH Wageningen, The Netherlands; (E.H.Z.); (A.J.W.)
| | - Barry V. O’Neill
- Unilever R&D Colworth, Colworth Science Park, Bedford MK44 1LQ, UK;
| | - Pamela Alfonso-Miller
- Northumbria Centre for Sleep Research, Northumbria University, Newcastle NE1 8ST, UK;
| | - Jason G. Ellis
- Northumbria Centre for Sleep Research, Northumbria University, Newcastle NE1 8ST, UK;
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Cai T, Sutter C, Donovan SM, Fiese BH. The Relationship Between Maternal and Infant Sleep Duration Across the First Two Years. J Dev Behav Pediatr 2023; 44:e421-e428. [PMID: 37276363 PMCID: PMC10524561 DOI: 10.1097/dbp.0000000000001195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 04/03/2023] [Indexed: 06/07/2023]
Abstract
OBJECTIVES The first objective of this study was to determine how mother-infant sleep duration is related across the first 2 years of life. The second objective was to determine whether these relationships change across the first 2 years of life. The third objective was to understand demographic and health predictors of the relationship between maternal and child sleep. METHODS Parents of 464 infants from the STRONG Kids 2 study reported their own and infants' nocturnal sleep duration and other health information (i.e., breastfeeding) at 3, 12, 18, and 24 months postpartum. RESULTS Latent transition models revealed 2 mother-infant sleep profiles exist at 3 to 24 months. The low maternal sleep ( LMS ) pattern was characterized by lower maternal sleep duration than the recommended amount and lower infant sleep duration. The average maternal sleep ( AMS ) pattern was characterized by average maternal sleep duration meeting the recommended standard and average infant sleep duration. Approximately half of the mothers who started in the LMS profile transitioned to the AMS profile after 12 months postpartum. The sleep profiles stabilized after 12 months postpartum with limited transitions across 12 to 24 months. More infant-signaled nighttime wakings, later bedtimes, more infant sleep problems, and more exclusive breastfeeding were predictors of being in the LMS profile. CONCLUSION Mother-infant sleep profiles stabilized after age 12 months, and mother-infant sleep profiles are driven by infant sleep quality during the night. The findings suggest the need to establish a healthy sleep routine for mothers and infants in the first year of life to promote longer-term sleep hygiene.
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Affiliation(s)
- Tianying Cai
- Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | | | - Sharon M. Donovan
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Barbara H. Fiese
- Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, Urbana, Illinois
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20
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Salas-González MD, Bermejo LM, González-Rodríguez LG, Lozano-Estevan MDC, Ortega RM, López-Sobaler AM. Adherence to 24-h movement guidelines in Spanish schoolchildren and its association with insulin resistance: a cross-sectional study. Front Public Health 2023; 11:1146580. [PMID: 37492132 PMCID: PMC10365640 DOI: 10.3389/fpubh.2023.1146580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/19/2023] [Indexed: 07/27/2023] Open
Abstract
Introduction Being more active, being less sedentary, and sleeping enough are associated with adequate body weight and adiposity in children. However, few researchers have analyzed these different lifestyle behaviors and the adherence to 24 h movement guidelines with respect to insulin resistance (IR) at school age. Therefore, we aimed to analyse the association between the adherence to 24 h movement guidelines (physical activity, sedentary time, sleep) and IR in Spanish schoolchildren. Methods A cross-sectional study of 839 children (8-13 years, 51.1% girls) were studied. Anthropometric, biochemical, and lifestyle behavioral data were collected. IR was defined as HOMA-IR>3.16. Compliance with the 24 h movement guidelines were defined as ≥60 min/day of moderate and/or vigorous physical activity, < 120 min/day of screen time, and 9-11 h/day of sleep time. Associations between adherence to the 24 h movement guidelines and IR were performed by multivariate logistic regression analyses. Results The IR in our sample was 5.0%, being higher in girls. Compliance with physical activity or screen time, but not with sleep recommendations, was associated with lower fasting glucose, fasting insulin, and HOMA-IR values. A low adherence to 24 h movement guidelines was associated with a higher risk of IR (odds ratio (95% CI): 2.150 [1.089-4.247]), especially in girls (odds ratio (95% CI): 2.800 [1.180-6.645]). Conclusion Higher physical activity levels and lower screen times were associated with a lower risk of IR in schoolchildren, underlining the importance of adhering to as many healthy lifestyle recommendations as possible.
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Affiliation(s)
- María Dolores Salas-González
- Grupo de Investigación VALORNUT, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain
| | - Laura M. Bermejo
- Grupo de Investigación VALORNUT, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Liliana G. González-Rodríguez
- Grupo de Investigación VALORNUT, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain
| | - María Del Carmen Lozano-Estevan
- Grupo de Investigación VALORNUT, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain
| | - Rosa M. Ortega
- Grupo de Investigación VALORNUT, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Ana M. López-Sobaler
- Grupo de Investigación VALORNUT, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
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21
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Chuang HH, Lin RH, Hsu JF, Chuang LP, Li HY, Fang TJ, Huang YS, Yang AC, Lee GS, Kuo TBJ, Yang CCH, Lee LA. Dietary profile of pediatric obstructive sleep apnea patients, effects of routine educational counseling, and predictors for outcomes. Front Public Health 2023; 11:1160647. [PMID: 37377550 PMCID: PMC10291126 DOI: 10.3389/fpubh.2023.1160647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/16/2023] [Indexed: 06/29/2023] Open
Abstract
Background Dietary behavior is a main contributing yet modifiable factor to the body weight status of children and may be involved in the pathophysiology of childhood obstructive sleep apnea (OSA). This study aimed to investigate the dietary profile of pediatric OSA patients, effects of educational counseling after adenotonsillectomy, and predictor for disease resolution. Methods This observational study included 50 pediatric OSA patients undergoing adenotonsillectomy with routine educational counseling (Group 1), 50 pediatric OSA patients undergoing adenotonsillectomy without formal educational counseling (Group 2), and 303 healthy children without OSA (Control). The three groups were matched by age. The consumption frequency of 25 food items/groups was assessed by the Short Food Frequency Questionnaire. Quality of life was evaluated by the OSA-18 questionnaire. Sleep architecture and OSA severity were measured by standard polysomnography. Between- and within-group comparisons were analyzed by non-parametric approaches and generalized estimating equations. Prediction of disease recovery was performed by multivariable logistic regression models. Results Group 1 children consumed fruit drinks with sugar, vegetables, sweets, chocolate, rice, and noodles more frequently than Control Group children. At baseline, the distributions of sex, weight status, OSA-18 scores, and polysomnographic variables were comparable between Group 1 and Group 2. After a 12-month follow-up, Group 1 had better improvements in physical suffering, caregiver concerns, sleep architecture, and mean peripheral oxygen saturation compared to Group 2. Furthermore, Group 1 no longer had excessive consumption of fruit drinks with sugar, chocolate, and noodles; however, food consumption frequencies did not change significantly. Notably, younger age and reduced intake of butter/margarine on bread and noodles were independent predictors of cured OSA in Group 1. Conclusion The present study preliminarily characterized an unhealthy dietary profile among pediatric OSA patients and suggested that routine educational counseling in addition to adenotonsillectomy yielded some clinical benefits. Certain items/groups of food frequencies may be associated with disease recovery and further investigations are warranted.
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Affiliation(s)
- Hai-Hua Chuang
- Department of Family Medicine, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Industrial Engineering and Manage-ment, National Taipei University of Technology, Taipei, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
| | - Rong-Ho Lin
- Department of Industrial Engineering and Manage-ment, National Taipei University of Technology, Taipei, Taiwan
| | - Jen-Fu Hsu
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Pediatrics, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Li-Pang Chuang
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Pulmonary and Critical Care Medicine, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Sleep Center, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hsueh-Yu Li
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Sleep Center, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Otorhinolaryngology – Head and Neck Surgery, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Tuan-Jen Fang
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Sleep Center, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Otorhinolaryngology – Head and Neck Surgery, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yu-Shu Huang
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Sleep Center, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Child Psychiatry, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Albert C. Yang
- Department of Psychiatry, Taipei Veter-ans General Hospital, Taipei, Taiwan
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Guo-She Lee
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Otolaryngology, Ren-Ai Branch, Taipei City Hospital, Taipei, Taiwan
| | - Terry B. J. Kuo
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Tsaotun Psychiatric Center, Ministry of Health and Wel-fare, Nantou, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Cheryl C. H. Yang
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Li-Ang Lee
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Sleep Center, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Otorhinolaryngology – Head and Neck Surgery, Linkou Main Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
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22
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Mohd Saat NZ, Abd Talib R, Alarsan SF, Saadeh N, Shahrour G. Risk Factors of Overweight and Obesity Among School Children Aged 6 to 18 Years: A Scoping Review. NUTRITION AND DIETARY SUPPLEMENTS 2023; Volume 15:63-76. [DOI: 10.2147/nds.s420370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023] Open
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23
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Berrutti B, Otero Xavier M, S. Santos I, Matijasevich A, Tovo-Rodrigues L. Sleep Duration in Adolescence and Its Prenatal, Perinatal, and Health Determinants in a Large Population-based Cohort Followed from Birth. Sleep Sci 2023; 16:148-158. [PMID: 37583372 PMCID: PMC10424492 DOI: 10.1055/s-0043-1770807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2023] Open
Abstract
Objective To investigate sleep duration and its associated factors in adolescents aged 11 years from the 2004 Pelotas (Brazil) Birth Cohort Study. Methods Sleep duration was assessed using a self-report sleep habits. Independent variables included perinatal, sociodemographic, behavioral, and health characteristics. The associations were estimated using multiple linear regression. Results The mean sleep duration of 3,179 adolescents was 9.3 hour (SD =1.7 hour). Longer sleep duration was associated with lower socioeconomic status at birth (β: 0.37, 95% CI: 0.12; 0.61), lower mother's education level ( p < 0.001), and being female (β: 0.19, 95% CI: 0.06; 0.33). Shorter sleep duration was associated with cesarean section delivery (β: -0.16, 95% CI: -0.31; -0.02); having classes in the morning shift (β: -1.38, 95% CI: -1.51; -1.26), and lower terciles of physical activity ( p = 0.04). Conclusions The mean sleep duration observed in this study was consistent with the international recommendations for this age range. Adolescents from lower income families, who are more active, study in shifts other than morning, girls, and those born through vaginal delivery presented higher sleep duration than their counterparts.
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Affiliation(s)
- Barbara Berrutti
- Social Medicine Department, Postgraduate Program in Epidemiology, Federal
University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Mariana Otero Xavier
- Social Medicine Department, Postgraduate Program in Epidemiology, Federal
University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Iná S. Santos
- Social Medicine Department, Postgraduate Program in Epidemiology, Federal
University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
- School of Medicine, Graduate Program in Pediatrics and Child Health, Pontifical
Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul,
Brazil
| | - Alicia Matijasevich
- Social Medicine Department, Postgraduate Program in Epidemiology, Federal
University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
- Department of Preventive Medicine, Faculty of Medicine FMUSP, Universidade de
São Paulo, SP, Brazil
| | - Luciana Tovo-Rodrigues
- Social Medicine Department, Postgraduate Program in Epidemiology, Federal
University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
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24
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Lister NB, Baur LA, Felix JF, Hill AJ, Marcus C, Reinehr T, Summerbell C, Wabitsch M. Child and adolescent obesity. Nat Rev Dis Primers 2023; 9:24. [PMID: 37202378 DOI: 10.1038/s41572-023-00435-4] [Citation(s) in RCA: 59] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/12/2023] [Indexed: 05/20/2023]
Abstract
The prevalence of child and adolescent obesity has plateaued at high levels in most high-income countries and is increasing in many low-income and middle-income countries. Obesity arises when a mix of genetic and epigenetic factors, behavioural risk patterns and broader environmental and sociocultural influences affect the two body weight regulation systems: energy homeostasis, including leptin and gastrointestinal tract signals, operating predominantly at an unconscious level, and cognitive-emotional control that is regulated by higher brain centres, operating at a conscious level. Health-related quality of life is reduced in those with obesity. Comorbidities of obesity, including type 2 diabetes mellitus, fatty liver disease and depression, are more likely in adolescents and in those with severe obesity. Treatment incorporates a respectful, stigma-free and family-based approach involving multiple components, and addresses dietary, physical activity, sedentary and sleep behaviours. In adolescents in particular, adjunctive therapies can be valuable, such as more intensive dietary therapies, pharmacotherapy and bariatric surgery. Prevention of obesity requires a whole-system approach and joined-up policy initiatives across government departments. Development and implementation of interventions to prevent paediatric obesity in children should focus on interventions that are feasible, effective and likely to reduce gaps in health inequalities.
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Affiliation(s)
- Natalie B Lister
- Children's Hospital Westmead Clinical School, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia
| | - Louise A Baur
- Children's Hospital Westmead Clinical School, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.
- Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
- Weight Management Services, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Andrew J Hill
- Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK
| | - Claude Marcus
- Division of Paediatrics, Department of Clinical Science Intervention and Technology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Thomas Reinehr
- Vestische Hospital for Children and Adolescents Datteln, University of Witten/Herdecke, Datteln, Germany
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Durham, UK
| | - Martin Wabitsch
- Division of Paediatric Endocrinology and Diabetes, Department of Paediatrics and Adolescent Medicine, Ulm University Medical Centre, Ulm, Germany
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25
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Fournier E, Łuszczki E, Isacco L, Chanséaume-Bussiere E, Gryson C, Chambrier C, Drapeau V, Chaput JP, Thivel D. Toward an Integrated Consideration of 24 h Movement Guidelines and Nutritional Recommendations. Nutrients 2023; 15:2109. [PMID: 37432285 DOI: 10.3390/nu15092109] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 07/12/2023] Open
Abstract
While physical activity, sleep and sedentary behaviors are almost always considered independently, they should be considered as integrated human behaviors. The 24 h Movement approach proposes a concomitant consideration of these behaviors to promote overall health. Not only do these behaviors impact energy expenditure, but they have also been shown to separately impact energy intake, which should be further explored when considering the entire integration of these movement behaviors under the 24 h movement approach. After an evaluation of the prevalence of meeting the 24 h Movement and dietary recommendations, this review summarizes the available evidence (using English publications indexed in PubMed/MEDLINE) regarding the association between the 24 h Movement Guidelines and eating habits. Altogether, the results clearly show the beneficial impact of promoting the 24 h guidelines simultaneously, highlighting that the higher the number of respected movement recommendations, the better eating behaviors in both children and adults. Importantly, our results point out the importance of emphasizing the need to reach sedentary guidelines for better eating habits. Movement and dietary behaviors appear closely related, and giving recommendations on one might impact the other. Combining the 24 h Movement with dietary Guidelines might be more efficient than promoting them separately in public health strategies.
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Affiliation(s)
- Elora Fournier
- Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont Auvergne University, CRNH Auvergne, 63000 Clermont-Ferrand, France
| | - Edyta Łuszczki
- Institute of Health Sciences, Medical College of Rzeszów University, 35-310 Rzeszów, Poland
| | - Laurie Isacco
- Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont Auvergne University, CRNH Auvergne, 63000 Clermont-Ferrand, France
| | | | | | | | - Vicky Drapeau
- Department of Physical Education, Faculty of Education, Université Laval, Quebec, QC G1V 0A6, Canada
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 5B2, Canada
| | - David Thivel
- Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont Auvergne University, CRNH Auvergne, 63000 Clermont-Ferrand, France
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26
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Felső R, Lányi É, Erhardt É, Laufer Z, Kardos D, Herczeg R, Gyenesei A, Hollódy K, Molnár D. Total sleep deprivation decreases saliva ghrelin levels in adolescents. J Sleep Res 2023; 32:e13746. [PMID: 36217837 DOI: 10.1111/jsr.13746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/30/2022] [Accepted: 09/19/2022] [Indexed: 11/30/2022]
Abstract
Ghrelin, a regulator of food intake and energy expenditure, has been shown to be associated with insufficient sleep. The goal of the present study was to investigate the effect of a single night of total sleep deprivation on fasting saliva ghrelin and on nocturnal variation of saliva ghrelin concentration. A further aim of the study was to investigate the influence of body mass index on changes in saliva ghrelin levels. Altogether 35 adolescents (18 boys; age: 13.8 ± 1.14 years) were studied on two subsequent days (sleep and total sleep deprivation). Saliva samples were collected during the two experimental nights at 21:00 hours, 01:00 hours and 06:00 hours. Total-ghrelin concentration showed a continuous increase from the evening until 06:00 hours. This increase was blunted significantly (p = 0.003) by total sleep deprivation. Total-ghrelin level was significantly lower (p = 0.02) during total sleep deprivation at 06:00 hours (median 403.6 pg ml-1 ; 95% confidence interval: 343.1-468.9 pg ml-1 ) as compared with values during the sleep condition (median 471.2 pg ml-1 ; 95% confidence interval: 205.4-1578.7 pg ml-1 ). Acyl-ghrelin levels did not present any change at the three time points, and were not affected by total sleep deprivation. Stratifying the study population according to body mass index (normal weight and overweight/obese groups), the blunting effect of total sleep deprivation was more pronounced in the obese/overweight group (sleep: median 428.2 pg ml-1 ; 95% confidence interval: 331.3-606.9 pg ml-1 versus total sleep deprivation: median 333.1 pg ml-1 ; 95% confidence interval: 261.5-412.9 pg ml-1 ; p = 0.0479). Saliva total-ghrelin concentrations gradually increased during the night, and total sleep deprivation significantly blunted this increase. This blunting effect was mainly observed in subjects with overweight/obesity. The physiological and clinical implications of the present observation are to be clarified by further studies.
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Affiliation(s)
- Regina Felső
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary.,National Laboratory on Human Reproduction, University of Pécs, Pécs, Hungary
| | - Éva Lányi
- Department of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Éva Erhardt
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Zsófia Laufer
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Dániel Kardos
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Róbert Herczeg
- National Laboratory on Human Reproduction, University of Pécs, Pécs, Hungary.,National Laboratory for Human Reproduction, Genomics and Bioinformatics Core Facility Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Attila Gyenesei
- National Laboratory on Human Reproduction, University of Pécs, Pécs, Hungary.,National Laboratory for Human Reproduction, Genomics and Bioinformatics Core Facility Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Katalin Hollódy
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Dénes Molnár
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary.,National Laboratory on Human Reproduction, University of Pécs, Pécs, Hungary
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27
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Morrison S, Haszard JJ, Galland BC, Jackson R, Meredith-Jones KA, Elder DE, Taylor RW. Where does the time go when children don't sleep? A randomized crossover study. Obesity (Silver Spring) 2023; 31:625-634. [PMID: 36575906 DOI: 10.1002/oby.23615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/31/2022] [Accepted: 09/14/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVE This study aimed to describe how mild sleep deprivation in children changes time spent physically active and sedentary. METHODS In 2018 through 2020, children (n = 105) with normal sleep were randomized to go to bed 1 hour earlier (extension) or 1 hour later (restriction) than their usual bedtime for 1 week, each separated by a 1-week washout. Twenty-four-hour movement behaviors were measured with waist-worn actigraphy and expressed in minutes and proportions (percentages). Mixed-effects regression models determined mean differences in time use (95% CI) between conditions. Time gained from sleep lost that was reallocated to other movement behaviors in the 24-hour day was modeled using regression. RESULTS Children (n = 96) gained ~49 minutes of awake time when sleep was restricted compared with extended. This time was mostly reallocated to sedentary behavior (28 minutes; 95% CI: 19-37), followed by physical activity (22 minutes; 95% CI: 14-30). When time was expressed as a percentage, the overall composition of movement behavior remained similar across both sleep conditions. CONCLUSIONS Children were not less physically active when mildly sleep deprived. Time gained from sleeping less was proportionally, rather than preferentially, reallocated to sedentary time and physical activity. These findings suggest that decreased physical activity seems unlikely to explain the association between short sleep and obesity in children.
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Affiliation(s)
- Silke Morrison
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | | | - Barbara C Galland
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
| | - Rosie Jackson
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | | | - Dawn E Elder
- Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
| | - Rachael W Taylor
- Department of Medicine, University of Otago, Dunedin, New Zealand
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28
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Littlejohn E. Pediatric Obesity-A Looming Problem for the Pediatric Population. Pediatr Ann 2023; 52:e46-e47. [PMID: 36779878 DOI: 10.3928/19382359-20230102-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
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29
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The effect of modest changes in sleep on dietary intake and eating behavior in children: secondary outcomes of a randomized crossover trial. Am J Clin Nutr 2023; 117:317-325. [PMID: 36863827 DOI: 10.1016/j.ajcnut.2022.10.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/01/2022] [Accepted: 10/28/2022] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND Insufficient sleep duration increases obesity risk in children, but the mechanisms remain unclear. OBJECTIVES This study seeks to determine how changes in sleep influence energy intake and eating behavior. METHODS Sleep was experimentally manipulated in a randomized, crossover study in 105 children (8-12 y) who met current sleep guidelines (8-11 h/night). Participants went to bed 1 h earlier (sleep extension condition) and 1 h later (sleep restriction condition) than their usual bedtime for 7 consecutive nights, separated by a 1-wk washout. Sleep was measured via waist-worn actigraphy. Dietary intake (2 24-h recalls/wk), eating behaviors (Child Eating Behavior Questionnaire), and the desire to eat different foods (questionnaire) were measured during or at the end of both sleep conditions. The type of food was classified by the level of processing (NOVA) and as core or noncore (typically energy-dense foods) foods. Data were analyzed according to 'intention to treat' and 'per protocol,' an a priori difference in sleep duration between intervention conditions of ≥30 min. RESULTS The intention to treat analysis (n = 100) showed a mean difference (95% CI) in daily energy intake of 233 kJ (-42, 509), with significantly more energy from noncore foods (416 kJ; 6.5, 826) during sleep restriction. Differences were magnified in the per-protocol analysis, with differences in daily energy of 361 kJ (20, 702), noncore foods of 504 kJ (25, 984), and ultraprocessed foods of 523 kJ (93, 952). Differences in eating behaviors were also observed, with greater emotional overeating (0.12; 0.01, 0.24) and undereating (0.15; 0.03, 0.27), but not satiety responsiveness (-0.06; -0.17, 0.04) with sleep restriction. CONCLUSIONS Mild sleep deprivation may play a role in pediatric obesity by increasing caloric intake, particularly from noncore and ultraprocessed foods. Eating in response to emotions rather than perceived hunger may partly explain why children engage in unhealthy dietary behaviors when tired. This trial was registered at Australian New Zealand Clinical Trials Registry; ANZCTR as CTRN12618001671257.
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Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity. Comput Stat 2023. [DOI: 10.1007/s00180-023-01324-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
AbstractMovement behaviour data are compositional in nature, therefore the logratio methodology has been demonstrated appropriate for their statistical analysis. Compositional data can be mapped into the ordinary real space through new sets of variables (orthonormal logratio coordinates) representing balances between the original compositional parts. Geometric rotation between orthonormal logratio coordinates systems can be used to extract relevant information from any of them. We exploit this idea to introduce the concept of pivoting balances, which facilitates the construction and use of interpretable balances according to the purpose of the data analysis. Moreover, graphical representation through ternary diagrams has been ordinarily used to explore time-use compositions consisting of, or being amalgamated into, three parts. Data dimension reduction techniques can however serve well for visualisation and facilitate understanding in the case of larger compositions. We here develop suitable pivoting balance coordinates that in combination with an adapted formulation of compositional partial least squares regression biplots enable meaningful visualisation of more complex time-use patterns and their relationships with an outcome variable. The use and features of the proposed method are illustrated in a study examining the association between movement behaviours and adiposity from a sample of Czech school-aged girls. The results suggest that an adequate strategy for obesity prevention in this group would be to focus on achieving a positive balance of vigorous physical activity in combination with sleep against the other daily behaviours.
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Marcos-Pasero H, Aguilar-Aguilar E, Colmenarejo G, Ramírez de Molina A, Reglero G, Loria-Kohen V. Dietary and Physical Activity Habits as Conditioning Factors of Nutritional Status among Children of GENYAL Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:866. [PMID: 36613186 PMCID: PMC9819712 DOI: 10.3390/ijerph20010866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/27/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Excess weight (EW) in children has become a severe public health problem. The present study aimed to describe the main lifestyle characteristics and their possible association with nutritional status in a group of schoolchildren enrolled in the GENYAL study, where 221 children in the first or second grade of primary education (6-9 years old) were included. Anthropometric (BMI and bioimpedance), dietary intake (twice-repeated 24 h food record), and physical activity (twice-repeated 24 h physical activity questionnaire) data were collected. Logistic and linear regressions, with p-values adjusted for multiple tests by Bonferroni's method and with sex and age as covariates, were applied. The prevalence of EW was 19%, 25.4%, and 32.2%, according to Orbegozo Foundation, IOFT, and WHO criteria, respectively. The results showed a significant association between schoolchildren's nutritional status and energy balance, defined as the ratio of estimated energy intake to estimated energy expenditure (%), (β = -1.49 (-1.9-1.07), p < 0.01) and KIDMED Mediterranean Diet Quality Index score (β = -0.19 (95% IC -0.38-0), p = 0.04), and between the availability of TV or other technological devices in their room and the child's BMI (β = 1.15 (95% IC 0.20-2.10), p = 0.017) and their fat mass (β = 3.28 (95% IC 0.69-5.87), p = 0.013). The number of dairy servings/day had a protective effect against EW (OR = 0.48 (0.29-0.75), p adjusted = 0.05)). Studying lifestyle factors associated with obesity is essential for developing tools and strategies for obesity prevention in children.
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Affiliation(s)
- Helena Marcos-Pasero
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain
- Bioactivity and Nutritional Immunology Group (BIOINUT), Faculty of Health Sciences, Universidad Internacional de Valencia-VIU, Pintor Sorolla 21, 46002 Valencia, Spain
| | - Elena Aguilar-Aguilar
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Nursing and Nutrition, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
| | - Gonzalo Colmenarejo
- Biostatistics and Bioinformatics Unit, IMDEA-Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Ana Ramírez de Molina
- Molecular Oncology and Nutritional Genomics of Cancer, IMDEA-Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Guillermo Reglero
- Production and Development of Foods for Health, IMDEA-Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Production and Characterization of Novel Foods, Institute of Food Science Research (CIAL), CEI UAM + CSIC, 28049 Madrid, Spain
| | - Viviana Loria-Kohen
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain
- Grupo de Investigación VALORNUT-UCM, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, 28040 Madrid, Spain
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Juelich J, Owens R, Denny D, Raatz S, Lindseth G. Effects of Sleep on Adolescents' Appetite, Dietary Intake, and Weight. SAGE Open Nurs 2023; 9:23779608231206753. [PMID: 37881811 PMCID: PMC10594957 DOI: 10.1177/23779608231206753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 08/20/2023] [Accepted: 09/23/2023] [Indexed: 10/27/2023] Open
Abstract
Introduction Several factors have been associated with excess weight gain in adolescents, including loss of sleep. Objective The purpose of this study is to examine the effects of sleep factors on appetite, dietary intake, and the body weights of adolescent youth. Methods A prospective correlational study design was used. Male and female adolescents (N = 76) ages 12-18 years completed a 5-night study. Sleep was assessed using Fitbits (88.5% accuracy) and the Pittsburgh Sleep Quality Index (PSQI) (test-retest reliability = .81); appetite was assessed by a Visual Analog Scale (α = 0.84); dietary intake was assessed by the Block Kids Food Screener (reliability up to .88); sleep hygiene was assessed using the Adolescent Sleep Hygiene Practice Scale (α = .67). Results Poor sleep quality was reported by 39.5% of participants, and 75% of participants had inadequate sleep time (7.33 h). Participants' age significantly correlated with PSQI scores (r = .28, p < .05) and BMI (r = .37, p < .01). Participants' PSQI scores significantly correlated with sleep hygiene (r = .45, p = .05) and appetite (r = .3 3, p < .01). Sleep latency significantly correlated with sleep hygiene (r = .32, p < .05). Several sleep hygiene factors correlated significantly with the participants' sleep quality, quantity and latency scores and dietary intakes. Conclusion These findings suggest that changes in sleep hygiene practices may improve adolescent sleep quality and quantity as well as appetite and dietary intake.
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Affiliation(s)
- Janell Juelich
- Division of Nursing, Mayville State University, Mayville, ND, USA
| | - Rhoda Owens
- College of Nursing and Professional Disciplines, University of North Dakota, Grand Forks, ND, USA
| | - Dawn Denny
- College of Nursing and Professional Disciplines, University of North Dakota, Grand Forks, ND, USA
| | - Susan Raatz
- Department of Food Science and Nutrition, University of Minnesota, Minneapolis, MN, USA
| | - Glenda Lindseth
- College of Nursing and Professional Disciplines, University of North Dakota, Grand Forks, ND, USA
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Salemonsen E, Holm AL, Øen KG. Struggling with overweight or obesity in children – fathers’ perceptions and experiences of contributing factors, role and responsibility. Int J Qual Stud Health Well-being 2022; 17:2093912. [PMID: 35786409 PMCID: PMC9254993 DOI: 10.1080/17482631.2022.2093912] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Affiliation(s)
- Elin Salemonsen
- Faculty of Health and Social Sciences, Department of Health and Caring Science, Western Norway University of Applied Sciences, Haugesund, Norway
| | - Anne Lise Holm
- Faculty of Health and Social Sciences, Department of Health and Caring Science, Western Norway University of Applied Sciences, Haugesund, Norway
| | - Kirsten Gudbjørg Øen
- Faculty of Health Sciences, Department of Public Health, University of Stavanger, Stavanger, Norway
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Liu S, Wang X, Zheng Q, Gao L, Sun Q. Sleep Deprivation and Central Appetite Regulation. Nutrients 2022; 14:nu14245196. [PMID: 36558355 PMCID: PMC9783730 DOI: 10.3390/nu14245196] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Research shows that reduced sleep duration is related to an increased risk of obesity. The relationship between sleep deprivation and obesity, type 2 diabetes, and other chronic diseases may be related to the imbalance of appetite regulation. To comprehensively illustrate the specific relationship between sleep deprivation and appetite regulation, this review introduces the pathophysiology of sleep deprivation, the research cutting edge of animal models, and the central regulatory mechanism of appetite under sleep deprivation. This paper summarizes the changes in appetite-related hormones orexin, ghrelin, leptin, and insulin secretion caused by long-term sleep deprivation based on the epidemiology data and animal studies that have established sleep deprivation models. Moreover, this review analyzes the potential mechanism of associations between appetite regulation and sleep deprivation, providing more clues on further studies and new strategies to access obesity and metabolic disease.
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Affiliation(s)
- Shuailing Liu
- Department of Child and Adolescent Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Xiya Wang
- Department of Child and Adolescent Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Qian Zheng
- Department of Child and Adolescent Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Lanyue Gao
- Experimental Center for School of Public Health, China Medical University, Shenyang 110122, China
| | - Qi Sun
- Department of Child and Adolescent Health, School of Public Health, China Medical University, Shenyang 110122, China
- Correspondence: ; Tel./Fax: +86-15840312720
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Kang S, Seo MY, Kim SH, Park MJ. Changes in lifestyle and obesity during the COVID-19 pandemic in Korean adolescents: based on the Korea Youth Risk Behavior Survey 2019 and 2020. Ann Pediatr Endocrinol Metab 2022; 27:281-288. [PMID: 35798306 PMCID: PMC9816461 DOI: 10.6065/apem.2142228.114] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 01/03/2022] [Indexed: 01/13/2023] Open
Abstract
PURPOSE The coronavirus disease 2019 (COVID-19) pandemic has affected people's daily lives and increased their time spent at home. This study aims to investigate the changes in lifestyle factors and obesity among Korean adolescents before and during the COVID-19 outbreak. METHODS We used the data of 109,282 adolescents aged 12-18 years, from the Korea Youth Risk Behavior Survey conducted in 2019 and 2020 before and during the COVID-19 pandemic, respectively. The changes in the prevalence of obesity and lifestyle factors (diet, exercise, sitting time, and sleep duration) were assessed. The adjusted odds ratios (ORs) (95% confidence intervals [CIs]) of predictors for obesity were calculated. RESULTS The prevalence of overweight (10% to 10.5%) and obesity (11.5% to 12.7%) increased significantly, especially among males younger than 15 years, whereas significant differences were absent among females. The mean body mass index z-score increased from 0.28 to 0.39 in males but decreased from 0.08 to 0.04 in females. Fruit consumption, regular exercise, and average sleep duration decreased, whereas sitting time increased. After controlling for covariates, a short sleep duration (OR, 1.14) and an increased sitting time (OR, 1.14) were significantly associated with an elevated risk for overweight/obesity. CONCLUSION During the COVID-19 pandemic, the prevalence of obesity and overweight increased, particularly in males, as did unfavorable trends in related lifestyle factors. Sex- and age-specific strategies to improve lifestyle factors associated with obesity are needed, especially during the COVID-19 pandemic.
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Affiliation(s)
- Sinyoung Kang
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Moon Young Seo
- Department of Pediatrics, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea
| | - Shin-Hye Kim
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Mi Jung Park
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea,Address for correspondence: Mi Jung Park Department of Pediatrics, Inje University Sanggye Paik Hospital, 1342 Dongil-ro, Nowon-gu, Seoul 01757, Korea
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Inhulsen MBMR, van Stralen MM, Terwee CB, Ujcic-Voortman JK, Seidell JC, Busch V. Measuring sleep health in primary school-aged children: A systematic review of instruments and their content validity. Sleep 2022; 45:6695369. [PMID: 36087112 PMCID: PMC9644118 DOI: 10.1093/sleep/zsac215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/13/2022] [Indexed: 12/03/2022] Open
Abstract
Study Objectives This review aimed to summarize instruments that measure one or more domains of sleep health (i.e. duration, quality, efficiency, timing, daytime sleepiness and sleep-related behaviors) in a general population of 4–12-year old children, and to assess these instruments’ content validity. Other measurement properties were evaluated for instruments with indications of sufficient content validity. Methods A systematic literature search was performed in PubMed, PsycINFO, Web of Science, and EmBase. Methodological quality, content validity, and other measurement properties were assessed via the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology. Instruments with indications of sufficient content validity (i.e. relevance, comprehensiveness and comprehensibility) were further evaluated on other measurement properties (i.e. other aspects of validity, reliability, responsiveness). A modified GRADE approach was applied to determine the quality of evidence. Results Twenty instruments, containing 36 subscales, were included. None of the instruments measured all sleep health domains. For five (subscales of) instruments sufficient relevance and comprehensibility was found. The quality of evidence ranged from very low to moderate. For these five instruments all additional measurement properties were assessed. Sufficient results were found for structural validity (n = 1), internal consistency (n = 1), and construct validity (n = 1), with quality of evidence ranging from very low to high. Conclusions Several (subscales of) instruments measuring domains of child sleep health showed good promise, demonstrating sufficient relevance, comprehensibility, and some also sufficient results on other measurement properties. However, more high quality studies on instrument development and the evaluation of measurement properties are required. PROSPERO registration number: CRD42021224109
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Affiliation(s)
- Maj-Britt M R Inhulsen
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute , Amsterdam , the Netherlands
- Sarphati Amsterdam, Public Health Service (GGD), City of Amsterdam , Amsterdam , the Netherlands
| | - Maartje M van Stralen
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute , Amsterdam , the Netherlands
| | - Caroline B Terwee
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute , Amsterdam , the Netherlands
| | - Joanne K Ujcic-Voortman
- Sarphati Amsterdam, Public Health Service (GGD), City of Amsterdam , Amsterdam , the Netherlands
| | - Jacob C Seidell
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute , Amsterdam , the Netherlands
- Sarphati Amsterdam, Public Health Service (GGD), City of Amsterdam , Amsterdam , the Netherlands
| | - Vincent Busch
- Sarphati Amsterdam, Public Health Service (GGD), City of Amsterdam , Amsterdam , the Netherlands
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Signaling pathways in obesity: mechanisms and therapeutic interventions. Signal Transduct Target Ther 2022; 7:298. [PMID: 36031641 PMCID: PMC9420733 DOI: 10.1038/s41392-022-01149-x] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/26/2022] [Accepted: 08/08/2022] [Indexed: 12/19/2022] Open
Abstract
Obesity is a complex, chronic disease and global public health challenge. Characterized by excessive fat accumulation in the body, obesity sharply increases the risk of several diseases, such as type 2 diabetes, cardiovascular disease, and nonalcoholic fatty liver disease, and is linked to lower life expectancy. Although lifestyle intervention (diet and exercise) has remarkable effects on weight management, achieving long-term success at weight loss is extremely challenging, and the prevalence of obesity continues to rise worldwide. Over the past decades, the pathophysiology of obesity has been extensively investigated, and an increasing number of signal transduction pathways have been implicated in obesity, making it possible to fight obesity in a more effective and precise way. In this review, we summarize recent advances in the pathogenesis of obesity from both experimental and clinical studies, focusing on signaling pathways and their roles in the regulation of food intake, glucose homeostasis, adipogenesis, thermogenesis, and chronic inflammation. We also discuss the current anti-obesity drugs, as well as weight loss compounds in clinical trials, that target these signals. The evolving knowledge of signaling transduction may shed light on the future direction of obesity research, as we move into a new era of precision medicine.
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Does a Healthy Lifestyle Lower the Elevated Risk of Obesity Caused by Caesarian Section Delivery in Children and Adolescents? Nutrients 2022; 14:nu14173528. [PMID: 36079786 PMCID: PMC9460904 DOI: 10.3390/nu14173528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/20/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Both caesarean section (CS) and lifestyle were linked with child adiposity. This study aimed to investigate whether CS delivery is linked with elevated risk of child adiposity regardless of a healthy lifestyle. Methods: All the subjects in this study came from a baseline survey of a national school-based program on healthy lifestyle interventions against adiposity among Chinese children and adolescents. A questionnaire was used to collect the information on delivery mode and lifestyle. According to the weighted lifestyle score, subjects were categorized into healthy, intermediate, and unhealthy lifestyle. Results: A total of 44,961 children aged 6−18 years were enrolled in the current study. Overall, 41.9% (18,855/44,961) of children were delivered by CS. Compared with children delivered by vaginal delivery, children delivered by CS had a higher adiposity risk (OR = 1.56; 95%CI: 1.46−1.66; p < 0.001) after adjustment for age, sex, region, mother adiposity, ethnicity, and weighted lifestyle factors. Compared with children with a healthy lifestyle, children with an unhealthy lifestyle had a higher risk of child adiposity (OR = 1.31; 95%CI: 1.19−1.44). Children delivered by CS who had an unhealthy lifestyle had a 106% higher (OR = 2.06; 95%CI: 1.79−2.37) risk of child adiposity compared with children delivered by vaginal delivery who had a healthy lifestyle. However, keeping a healthy lifestyle in later life seems not to offset the increased risk of child adiposity caused by CS (OR = 1.59; 95%CI: 1.39−1.82). Conclusions: Both CS and unhealthy lifestyle were linked with child adiposity risk. Keeping a healthy lifestyle did not counteract the elevated risk of child adiposity caused by CS.
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Characteristic Sleep Patterns and Associated Obesity in Adolescents. Life (Basel) 2022; 12:life12091316. [PMID: 36143353 PMCID: PMC9500978 DOI: 10.3390/life12091316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/25/2022] [Accepted: 08/24/2022] [Indexed: 11/20/2022] Open
Abstract
Poor sleep adversely affects health and may cause obesity. Poor sleep includes short sleep duration, low quality of sleep, and sleep discrepancy. Although most studies have focused on the association between sleep duration and obesity, poor sleep is a significant risk factor for obesity. Adolescents have characteristic sleep patterns which correspond to poor sleep. Adolescents sleep late due to various biological and psychosocial factors; also, they wake up early to be on time for school. This causes them to sleep less. To make up for this sleep debt, adolescents sleep more on non-school days, which causes sleep discrepancies. Therefore, since adolescents have characteristic sleep patterns, an in-depth investigation is needed to identify whether poor sleep is a risk for obesity. This article presents an overview of the characteristic sleep patterns of adolescents, and reviews studies on the association of each sleep pattern with obesity.
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Relación de los hábitos alimentarios, los patrones de sueño y el grado de actividad física con el grado de obesidad en niños y adolescentes. ENDOCRINOL DIAB NUTR 2022. [DOI: 10.1016/j.endinu.2022.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Monzon AD, Patton SR, Koren D. Childhood diabetes and sleep. Pediatr Pulmonol 2022; 57:1835-1850. [PMID: 34506691 DOI: 10.1002/ppul.25651] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/18/2021] [Accepted: 08/26/2021] [Indexed: 12/18/2022]
Abstract
Sleep modulates glucose metabolism, both in healthy states and in disease. Alterations in sleep duration (insufficient and excessive) and obstructive sleep apnea may have reciprocal ties with obesity, insulin resistance and Type 2 diabetes, as demonstrated by emerging evidence in children and adolescents. Type 1 diabetes is also associated with sleep disturbances due to the influence of wide glycemic fluctuations upon sleep architecture, the need to treat nocturnal hypoglycemia, and the need for glucose monitoring and insulin delivery technologies. In this article, we provide an extensive and critical review on published pediatric literature regarding these topics, reviewing both epidemiologic and qualitative data, and provide an overview of the pathophysiology linking sleep with disorders of glucose homeostasis.
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Affiliation(s)
- Alexandra D Monzon
- Department of Psychology and Applied Behavioral Science, Clinical Child Psychology Program, University of Kansas, Lawrence, Kansas, USA
| | - Susana R Patton
- Department of Biomedical Research, Center for Healthcare Delivery Science, Nemours Children's Health System, Jacksonville, Florida, USA
| | - Dorit Koren
- Department of Pediatrics, Pediatric Endocrinology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
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Magriplis E, Kanellopoulou A, Notara V, Antonogeorgos G, Rojas-Gil AP, Kornilaki EN, Lagiou A, Zampelas A, Panagiotakos DB. The Association of Sugar-Sweetened Beverages to Children's Weights Status Is Moderated by Frequency of Adding Sugars and Sleep Hours. CHILDREN (BASEL, SWITZERLAND) 2022; 9:children9071088. [PMID: 35884072 PMCID: PMC9317324 DOI: 10.3390/children9071088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/14/2022] [Accepted: 07/18/2022] [Indexed: 11/25/2022]
Abstract
Adding extra sugars in milk and the moderating effect of sleep has yet to be investigated, setting the aim of this study. A total of 1361 school-aged children were included, aged 10−12 years old, by randomly sampling schools. Data were interview-obtained by trained personnel using a validated 17-item food frequency questionnaire, with specifics on type of milk and extra sugar additions. Analyses were stratified by average recommended hours of sleep. Predictive probability margins were obtained following necessary adjustments. Mean BMI was significantly lower, the level of SSB intake was higher, and the prevalence of adding sugars to milk four or more times per week was higher in children that slept ≥10 h. Most children (64%) consumed full fat milk, 21% had low fat, and 19.7% chocolate milk, with a significantly larger proportion of overweight or obese children consuming full fat or chocolate milk, also adding extra sugars four or more times per week (4.1% compared to 9.6%, and 12.2% compared to 39.5%, respectively). The predictive probability of being overweight or obese exponentially increased for children consuming >0.5 SSB/day while also adding sugars to their milk frequently, although this effect remained significant only for children sleeping <10 h/day. In conclusion, to accurately address the effect of SSBs on children’s body weight, frequency of any type of sugar addition in milk should be accounted for, as well as average sleep hours that may further moderate the effect.
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Affiliation(s)
- Emmanuella Magriplis
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece;
- Correspondence:
| | - Aikaterini Kanellopoulou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (A.K.); (G.A.); (D.B.P.)
| | - Venetia Notara
- Laboratory of Hygiene and Epidemiology, Department of Public and Community Health, School of Public Health, University of West Attica, 12243 Athens, Greece; (V.N.); (A.L.)
| | - George Antonogeorgos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (A.K.); (G.A.); (D.B.P.)
| | - Andrea Paola Rojas-Gil
- Department of Nursing, Faculty of Health Sciences, University of Peloponnese, 22100 Tripoli, Greece;
| | - Ekaterina N Kornilaki
- Department of Preschool Education, School of Education, University of Crete, 74100 Rethimno, Greece;
| | - Areti Lagiou
- Laboratory of Hygiene and Epidemiology, Department of Public and Community Health, School of Public Health, University of West Attica, 12243 Athens, Greece; (V.N.); (A.L.)
| | - Antonis Zampelas
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece;
| | - Demosthenes B Panagiotakos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (A.K.); (G.A.); (D.B.P.)
- Faculty of Health, University of Canberra, Canberra, ACT 2617, Australia
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43
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Sawadogo W, Chapman DA, Taylor DDH, Adera T. The Mediating Effect of Sleep Duration on the Association between Food Insecurity and Childhood Obesity. Child Obes 2022; 19:186-193. [PMID: 35671522 DOI: 10.1089/chi.2022.0070] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Childhood obesity has increased globally during the past four decades. Food insecurity could heighten the risk of obesity. However, little is known about the underlying mechanism. This study aims to investigate the mediating role of sleep duration in the association between food insecurity and childhood obesity and whether there are differences by age, sex, and race/ethnicity. Method: Data from the National Survey of Children's Health for the years 2016-2020 were used, including children 10-17 years of age. We employed causal mediation analysis within a counterfactual framework to decompose the total effect of food insecurity into natural direct and indirect effects and estimate the proportion mediated. Result: The prevalence of obesity was 15.8% in our study sample. Children with food insecurity had 78% higher odds [odds ratio (OR) = 1.78, 95% confidence interval (CI): 1.70-1.86] of having obesity compared with children who were food secure. Overall, only 6.13% of this association was mediated by sleep duration. The association between food insecurity and obesity was stronger in females (OR = 1.96, 95% CI: 1.84-2.10) than males (OR = 1.66, 95% CI: 1.56-1.75), but the proportion mediated by sleep duration was larger in males (7.13%) than females (5.22%). Evidence of mediation was more pronounced in children 10-11 years of age and non-Hispanic Asian children (proportion mediated = 14.85% and 11.21%, respectively). Conclusion: Food insecurity is associated with an increased prevalence of obesity among children. Although a small proportion of this association is mediated by sleep duration, these results suggest that sleep should be considered when assessing the link between food insecurity and childhood obesity.
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Affiliation(s)
- Wendemi Sawadogo
- Division of Epidemiology, Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Derek A Chapman
- Division of Epidemiology, Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.,Center on Society and Health, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - DaShaunda D H Taylor
- Division of Epidemiology, Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.,Center on Society and Health, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Tilahun Adera
- Division of Epidemiology, Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
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44
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Ornos EDB, Quebral EPB, Lintao RCV, Tantengco OAG, Nicodemus NA. The Growing Epidemic of Childhood Obesity in the Philippines and the COVID-19 Pandemic. J Paediatr Child Health 2022; 58:1120-1121. [PMID: 35499812 DOI: 10.1111/jpc.16004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 04/21/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Eric D B Ornos
- College of Medicine, University of the Philippines Manila, Manila, Philippines
| | - Elgin P B Quebral
- College of Medicine, University of the Philippines Manila, Manila, Philippines
| | - Ryan C V Lintao
- College of Medicine, University of the Philippines Manila, Manila, Philippines
| | | | - Nemencio A Nicodemus
- Department of Biochemistry and Molecular Biology, College of Medicine, University of the Philippines Manila, Manila, Philippines.,Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of the Philippines - Philippine General Hospital, Manila, Philippines
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45
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Dzhambov AM, Lercher P, Rüdisser J, Browning MH, Markevych I. Home gardens and distances to nature associated with behavior problems in alpine schoolchildren: Role of secondhand smoke exposure and biomarkers. Int J Hyg Environ Health 2022; 243:113975. [DOI: 10.1016/j.ijheh.2022.113975] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 04/08/2022] [Accepted: 04/25/2022] [Indexed: 01/13/2023]
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46
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Frequency of watching television, owning a mobile phone and risk of being overweight/obese among reproductive-aged women in low- and lower-middle-income countries: A pooled analysis from Demographic and Health Survey data. J Biosoc Sci 2022; 55:509-522. [PMID: 35575105 DOI: 10.1017/s0021932022000207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
People who are overweight and obese suffer from significant health impacts that have increased globally. Concurrently, usage of information and communication devices such as television and mobile phones have also been growing, affecting people's weight. This study examined the association between watching television and owning a mobile phone with overweight and obesity among reproductive-aged women in low- and lower-middle-income countries (LLMICs). Data of 21 LLMICs reported between 2015 and 2020 were collected from the Demographic and Health Surveys. Multivariate logistic regression was performed to determine the association into three pooled segments: a group of 21 countries, the World Bank income classification and the regional categorisation of the countries. The all-inclusive prevalence of overweight or obesity was found at 27.1% among 175,370 reproductive-aged women, and this prevalence varied among countries. Overall, the odds of being overweight or obese were 1.20 (adjusted odds ratio [AOR]=1.20, 95% confidence interval [CI]: 1.15-1.24), 1.40 (AOR=1.40, 95% CI: 1.35-1.44) and 1.18 (AOR=1.18, 95% CI: 1.03-1.35) times higher among those who watched television less than once a week, at least once a week and almost every day, respectively, compared with those who did not watch television. Besides, women's mobile phone ownership is more likely to experience overweight or obesity (AOR=1.72, 95% CI: 1.67-1.77). Consistent results were found for the countries categorised according to the World Bank income and regional classification. Focus on sedentary behaviour, such as television watching and mobile phone use, of women and regional or country-specific innovative strategies and programs are of great immediate importance to decrease the prevalence of overweight and obesity.
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47
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Brown V, Moodie M, Sultana M, Hunter KE, Byrne R, Zarnowiecki D, Seidler AL, Golley R, Taylor RW, Hesketh KD, Matvienko-Sikar K. A scoping review of outcomes commonly reported in obesity prevention interventions aiming to improve obesity-related health behaviors in children to age 5 years. Obes Rev 2022; 23:e13427. [PMID: 35122457 DOI: 10.1111/obr.13427] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 12/17/2021] [Accepted: 12/17/2021] [Indexed: 12/18/2022]
Abstract
This scoping review was undertaken as the first stage of development of the Core Outcome Sets for Early Prevention of Obesity in CHildhood (COS-EPOCH). The aim of this review is to identify the outcomes collected and reported in randomized controlled trials of early childhood obesity prevention interventions. A systematic scoping review was undertaken following published guidelines. Trial registries and Medline were searched, and records retrieved were screened by two reviewers. Included trials aimed to prevent childhood obesity in the first 5 years of life and were randomized. Data were extracted using a standardized form. Outcomes were assigned to outcome domains, and similar definitions within each domain were merged, based on key literature and expert consensus. Outcome and domain frequencies were estimated and presented in outcome matrices. Eighteen outcome domains were identified from 161 included studies: "anthropometry," "dietary intake," "physical activity," "sedentary behaviour," "emotional functioning/wellbeing," "feeding," "cognitive/executive functioning," "sleep," "other," "study-related," "parenting practices," "motor skill development," "environmental," "blood and lymphatic system," "perceptions and preferences," "quality of life," and "economic," "oral health." The most frequently reported outcome domain was anthropometry (92% of studies), followed by dietary intake (77%) and physical activity (60%). 221 unique outcomes were identified, indicating a high degree of heterogeneity. Body mass index was the only outcome reported in >50% of studies. The considerable heterogeneity in outcomes supports the need for the development of COS-EPOCH.
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Affiliation(s)
- Vicki Brown
- Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Deakin University, Geelong, Australia.,Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia
| | - Marj Moodie
- Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Deakin University, Geelong, Australia.,Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia
| | - Marufa Sultana
- Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Deakin University, Geelong, Australia
| | - Kylie E Hunter
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia.,NHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - Rebecca Byrne
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia.,School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia
| | - Dorota Zarnowiecki
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia
| | - Anna Lene Seidler
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia.,NHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - Rebecca Golley
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia
| | - Rachael W Taylor
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia.,Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Kylie D Hesketh
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, Australia.,Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
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48
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Jebeile H, Kelly AS, O'Malley G, Baur LA. Obesity in children and adolescents: epidemiology, causes, assessment, and management. Lancet Diabetes Endocrinol 2022; 10:351-365. [PMID: 35248172 PMCID: PMC9831747 DOI: 10.1016/s2213-8587(22)00047-x] [Citation(s) in RCA: 237] [Impact Index Per Article: 118.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/27/2022] [Accepted: 02/02/2022] [Indexed: 01/14/2023]
Abstract
This Review describes current knowledge on the epidemiology and causes of child and adolescent obesity, considerations for assessment, and current management approaches. Before the COVID-19 pandemic, obesity prevalence in children and adolescents had plateaued in many high-income countries despite levels of severe obesity having increased. However, in low-income and middle-income countries, obesity prevalence had risen. During the pandemic, weight gain among children and adolescents has increased in several jurisdictions. Obesity is associated with cardiometabolic and psychosocial comorbidity as well as premature adult mortality. The development and perpetuation of obesity is largely explained by a bio-socioecological framework, whereby biological predisposition, socioeconomic, and environmental factors interact together to promote deposition and proliferation of adipose tissue. First-line treatment approaches include family-based behavioural obesity interventions addressing diet, physical activity, sedentary behaviours, and sleep quality, underpinned by behaviour change strategies. Evidence for intensive dietary approaches, pharmacotherapy, and metabolic and bariatric surgery as supplemental therapies are emerging; however, access to these therapies is scarce in most jurisdictions. Research is still needed to inform the personalisation of treatment approaches of obesity in children and adolescents and their translation to clinical practice.
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Affiliation(s)
- Hiba Jebeile
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Westmead, NSW, Australia
| | - Aaron S Kelly
- Department of Pediatrics and Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Grace O'Malley
- School of Physiotherapy, RCSI University of Medicine and Health Sciences, Dublin, Ireland; Child and Adolescent Obesity Service, Children's Health Ireland at Temple Street, Dublin, Ireland
| | - Louise A Baur
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; Weight Management Services, The Children's Hospital at Westmead, Westmead, NSW, Australia.
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49
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Shih YH, Wu HC, Pan WH, Chang HY. The Association Between Frequent Sugar-Sweetened Beverage Intake and Sleep Duration in School Children: A Cross-Sectional Study. Front Nutr 2022; 9:847704. [PMID: 35369050 PMCID: PMC8965345 DOI: 10.3389/fnut.2022.847704] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/14/2022] [Indexed: 11/25/2022] Open
Abstract
Background Higher consumption of sugar-sweetened beverages (SSBs) maybe association with children's sleep pattern. However, few studies have considered this association in Asia, especially in school children. This study investigated the relationship between children's consumption frequency of such beverages and their sleep duration. Methods Participants aged 6–12 years were analyzed from two survey data in 2012 and 2013–2016 Nutrition and Health Surveys in Taiwan. A total of 2,628 participants were included in the analysis (2012, N = 1,267; 2013–2016, N = 1,361). Beverages weekly consumption were divided into low and high intake groups by medians cut-off points. The sleep variables were the sleep duration at night (including school days and weekends) and sleep debt. After controlling the confounders, the correlation between sugar-sweetened beverage consumption and sleep duration was examined using multinomial logistic regression analysis. Results The students slept for an average of 8.8 h on school days and 9.7 h on weekends. Relative to the low SSB intake group, the high intake group exhibited shorter sleep durations on school days (P < 0.001), greater sleep debt (P = 0.049). In logistic regression, high intake group were more likely to sleep for <8.5 h on school days (OR = 1.67, P = 0.002) and exhibit >2 h of sleep debt than low intake group (OR = 1.41, P = 0.022). Conclusions Children who had consumed sugar-sweetened beverages frequently slept for shorter durations at night on school days and exhibited greater sleep debt. The causal relationship was not clear. Nonetheless, these two factors are important in promoting children health.
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Affiliation(s)
- Ya-Hui Shih
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Hsin-Chuan Wu
- Department of Food Nutrition, College of Human Science and Technology, Chung Hwa University of Medical Technology, Tainan City, Taiwan
| | - Wen-Harn Pan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
- Institute of Public Health, National Yang-Ming Chiao Tung University, Taipei, Taiwan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Hsing-Yi Chang
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
- Institute of Public Health, National Yang-Ming Chiao Tung University, Taipei, Taiwan
- *Correspondence: Hsing-Yi Chang
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50
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Hunter KE, Johnson BJ, Askie L, Golley RK, Baur LA, Marschner IC, Taylor RW, Wolfenden L, Wood CT, Mihrshahi S, Hayes AJ, Rissel C, Robledo KP, O'Connor DA, Espinoza D, Staub LP, Chadwick P, Taki S, Barba A, Libesman S, Aberoumand M, Smith WA, Sue-See M, Hesketh KD, Thomson JL, Bryant M, Paul IM, Verbestel V, Stough CO, Wen LM, Larsen JK, O'Reilly SL, Wasser HM, Savage JS, Ong KK, Salvy SJ, Messito MJ, Gross RS, Karssen LT, Rasmussen FE, Campbell K, Linares AM, Øverby NC, Palacios C, Joshipura KJ, González Acero C, Lakshman R, Thompson AL, Maffeis C, Oken E, Ghaderi A, Campos Rivera M, Pérez-Expósito AB, Banna JC, de la Haye K, Goran M, Røed M, Anzman-Frasca S, Taylor BJ, Seidler AL. Transforming Obesity Prevention for CHILDren (TOPCHILD) Collaboration: protocol for a systematic review with individual participant data meta-analysis of behavioural interventions for the prevention of early childhood obesity. BMJ Open 2022; 12:e048166. [PMID: 35058256 PMCID: PMC8783820 DOI: 10.1136/bmjopen-2020-048166] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 11/18/2021] [Indexed: 02/04/2023] Open
Abstract
INTRODUCTION Behavioural interventions in early life appear to show some effect in reducing childhood overweight and obesity. However, uncertainty remains regarding their overall effectiveness, and whether effectiveness differs among key subgroups. These evidence gaps have prompted an increase in very early childhood obesity prevention trials worldwide. Combining the individual participant data (IPD) from these trials will enhance statistical power to determine overall effectiveness and enable examination of individual and trial-level subgroups. We present a protocol for a systematic review with IPD meta-analysis to evaluate the effectiveness of obesity prevention interventions commencing antenatally or in the first year after birth, and to explore whether there are differential effects among key subgroups. METHODS AND ANALYSIS Systematic searches of Medline, Embase, Cochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo and trial registries for all ongoing and completed randomised controlled trials evaluating behavioural interventions for the prevention of early childhood obesity have been completed up to March 2021 and will be updated annually to include additional trials. Eligible trialists will be asked to share their IPD; if unavailable, aggregate data will be used where possible. An IPD meta-analysis and a nested prospective meta-analysis will be performed using methodologies recommended by the Cochrane Collaboration. The primary outcome will be body mass index z-score at age 24±6 months using WHO Growth Standards, and effect differences will be explored among prespecified individual and trial-level subgroups. Secondary outcomes include other child weight-related measures, infant feeding, dietary intake, physical activity, sedentary behaviours, sleep, parenting measures and adverse events. ETHICS AND DISSEMINATION Approved by The University of Sydney Human Research Ethics Committee (2020/273) and Flinders University Social and Behavioural Research Ethics Committee (HREC CIA2133-1). Results will be relevant to clinicians, child health services, researchers, policy-makers and families, and will be disseminated via publications, presentations and media releases. PROSPERO REGISTRATION NUMBER CRD42020177408.
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Affiliation(s)
- Kylie E Hunter
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Brittany J Johnson
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Lisa Askie
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Rebecca K Golley
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Louise A Baur
- Children's Hospital Westmead Clinical School, The University of Sydney, Westmead, New South Wales, Australia
| | - Ian C Marschner
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Rachael W Taylor
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Luke Wolfenden
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Charles T Wood
- School of Medicine, Duke University, Durham, North Carolina, USA
| | - Seema Mihrshahi
- Department of Health Systems and Populations, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Alison J Hayes
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Chris Rissel
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Kristy P Robledo
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Denise A O'Connor
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
- Monash Department of Clinical Epidemiology, Cabrini Institute, Malvern, Victoria, Australia
| | - David Espinoza
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Lukas P Staub
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Paul Chadwick
- Centre For Behaviour Change, University College London, London, UK
| | - Sarah Taki
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Population Health Research and Evaluation Hub, Sydney Local Health District, Camperdown, New South Wales, Australia
| | - Angie Barba
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Sol Libesman
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mason Aberoumand
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Wendy A Smith
- Canterbury Community Health Centre, Sydney Local Health District, Campsie, New South Wales, Australia
- Consumer Representative, Sydney, New South Wales, Australia
| | | | - Kylie D Hesketh
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | | | - Maria Bryant
- Department of Health Sciences and the Hull York Medical School, University of York, York, UK
| | - Ian M Paul
- Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Vera Verbestel
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | | | - Li Ming Wen
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Population Health Research and Evaluation Hub, Sydney Local Health District, Camperdown, New South Wales, Australia
| | - Junilla K Larsen
- Behavioural Science Institute, Radboud Universiteit, Nijmegen, The Netherlands
| | - Sharleen L O'Reilly
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Heather M Wasser
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jennifer S Savage
- Department of Nutritional Sciences & Center for Childhood Obesity Research, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Ken K Ong
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Sarah-Jeanne Salvy
- Research Center for Health Equity, Cedars-Sinai Medical Center, West Hollywood, California, USA
| | - Mary Jo Messito
- Grossman School of Medicine, New York University, New York, New York, USA
| | - Rachel S Gross
- Grossman School of Medicine, New York University, New York, New York, USA
| | - Levie T Karssen
- Behavioural Science Institute, Radboud Universiteit, Nijmegen, The Netherlands
| | - Finn E Rasmussen
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Karen Campbell
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Ana Maria Linares
- College of Nursing, University of Kentucky, Lexington, Kentucky, USA
| | - Nina Cecilie Øverby
- Faculty of Health and Sport Sciences, Department of Nutrition and Public Health, University of Agder, Kristiansand, Vest-Agder, Norway
| | - Cristina Palacios
- Department of Dietetics and Nutrition, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida, USA
| | - Kaumudi J Joshipura
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Center for Clinical Research and Health Promotion, University of Puerto Rico Medical Sciences Campus, San Juan, Puerto Rico, USA
| | - Carolina González Acero
- Social Protection and Health Division, Inter-American Development Bank, Santo Domingo, Distrito Nacional, Dominican Republic
| | | | - Amanda L Thompson
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Anthropology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Claudio Maffeis
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Ata Ghaderi
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | | | - Ana B Pérez-Expósito
- Social Protection and Health Division, Inter-American Development Bank, Washington, District of Columbia, USA
| | - Jinan C Banna
- Department of Human Nutrition, Food and Animal Sciences, University of Hawaii, Honolulu, Hawaii, USA
| | - Kayla de la Haye
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Michael Goran
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Margrethe Røed
- Faculty of Health and Sport Sciences, Department of Nutrition and Public Health, University of Agder, Kristiansand, Vest-Agder, Norway
| | - Stephanie Anzman-Frasca
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Barry J Taylor
- Better Start National Science Challenge, University of Otago, Dunedin, New Zealand
| | - Anna Lene Seidler
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
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