Dataset Information

Association of Sleep Duration and Overweight/Obesity among Children in China.

ABSTRACT: To investigate the association of sleep duration with overweight and obesity among children aged 6 to 17 years in China, 2010-2012 data from the China National Nutrition and Health Surveillance (CNHHS) were analyzed. A total of 35,414 children were recruited in the survey. Body mass index (BMI) was converted into three categories: normal weight, overweight and obesity. In multinomial logistic regression model, sleep duration was divided into four groups: very short, short, recommended and long. In restricted cubic splines (RCS), sleep duration was examined as a continuous variable in relation to overweight and obesity. In the very short and short groups, sleep duration was a risk factor for obesity after adjusting for the potential impacts of age, gender, residence, family income, leisure sedentary behavior (SB) and leisure exercise, with OR (Odds Ratio) = 3.01 (95% CI (confidence interval): 2.19-4.15) and OR = 1.24 (95% CI: 1.14-1.35), respectively. The adjusted OR of overweight for short sleep duration relative to a recommended sleep duration was 1.17(95% CI: 1.09-1.26). No significant associations of very short sleep with overweight, of long sleep duration with overweight and obesity were found. The RCS curves between sleep duration and overweight and obesity were both inverted J-shaped. To conclude, the shorter the sleep duration, the higher the risk of overweight and obesity in children. Increasing sleep duration would have a positive effect on reducing overweight and obesity rates in Chinese children.

SUBMITTER: Fan J

PROVIDER: S-EPMC7143914 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Association of Sleep Duration and Overweight/Obesity among Children in China.

Fan Jing J Ding Caicui C Gong Weiyan W Yuan Fan F Zhang Yan Y Feng Ganyu G Song Chao C Liu Ailing A

International journal of environmental research and public health 20200317 6

To investigate the association of sleep duration with overweight and obesity among children aged 6 to 17 years in China, 2010-2012 data from the China National Nutrition and Health Surveillance (CNHHS) were analyzed. A total of 35,414 children were recruited in the survey. Body mass index (BMI) was converted into three categories: normal weight, overweight and obesity. In multinomial logistic regression model, sleep duration was divided into four groups: very short, short, recommended and long. ...[more]

PMID: 32192114

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Project description:Background and aims: Youth populations with overweight/obesity (OW/OB) exhibit heterogeneity in cardiometabolic health phenotypes (e.g. fasting glucose, serum triglycerides, etc.). The underling mechanisms for those differences are still unclear. This study aimed to analyze the whole blood transcriptome profile (RNA-seq) of children with metabolic healthy overweight/obesity (MHO) and metabolic unhealthy overweight/obesity (MUO) phenotypes. Methods: 27 children with OW/OB (10.14 ± 1.3 years, 59% boys) from the ActiveBrains project were included. MHO was defined as having none of the following criteria for metabolic syndrome: elevated fasting glucose, high serum triglycerides, low high-density lipoprotein cholesterol, and high systolic or diastolic blood pressure, while MUO was defined as presenting one or more of these criteria. Inflammatory markers interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), epidermal growth factor (EGF) and, vascular endothelial growth factor A (VEGF) were additionally determined. Total-blood RNA was analyzed by 5’-end RNA sequencing. Two different bioinformatics approaches were performed: 1) Differential gene expression analyses using Limma R/Bioconductor software package (analyses adjusted by sex and maturational status) and 2) weighted gene coexpression network analyses (WGCNA). Results: Children with MHO had lower values of pro-inflammatory cytokines TNF-α and IL-6 compared to MUO (p < 0.05). 40 genes were differentially expressed (FDR < 0.05) in children with MHO compared to MUO. WGCNA analysis identified 23 gene coexpression modules (i.e. clusters of genes) with low preservation (Zsummary < 2) in children with MHO compared to MUO. Differential and WGCNA gene expression patterns identified 32 genes linked to metabolism, mitochondrial and immune functions. Conclusions: Whole blood transcriptome analysis revealed a distinct pattern of gene expression in children with MHO compared to MUO children. The identified gene expression patterns related to metabolism, mitochondrial and immune functions can promote a better understanding of cardiovascular disease prognosis in individuals with MHO.

Project description:Background: The current knowledge about the molecular mechanisms underlying the health benefits of exercise is still limited, especially in the pediatric population. We set out to investigate the effect of a 20-week exercise intervention on whole blood transcriptome profile (RNA-seq) in children with overweight/obesity. Methods: Twenty-four pre-pubertal children (10.21 ± 1.33 years, 46% girls) with overweight/obesity, were randomized to either a 20-week exercise program (intervention group; n=10), or to a non-exercise control group (usual lifestyle, n=14). Whole blood transcriptome profile was analysed using RNA-seq STRT2 technique. Gene expression analysis was carried out with the Limma R/Bioconductor software package, and the gene ontology (GO) and pathway enrichment analyses were performed using R. Ingenuity Pathway Analysis (IPA) was performed for gene network detection. The transcriptome data were in silico validated using PHENOPEDIA and meta-analysis database extrameta.org. Results: 161 genes were differentially expressed between the exercise and the control groups among boys, and 121 genes among girls (p-value < 0.05), while after multiple correction, no significant difference between groups persisted in gene expression profiles (FDR > 0.05). Based on non-corrected analyses, the enriched GO processes and molecular pathways highlighted the effect of exercise on different immune response related pathways in boys (antigen processing and presentation, infections, and T cell receptor complex) and girls (Fc epsilon RI signaling pathway) (FDR < 0.05). In silico data mining and validation analyses (using PHENOPEDIA and meta-analysis database extrameta.org) highlight top genes regulated by exercise such as CD6, HLA-C, TNFRSF1A, MYD88, and NFKBIA genes in boys and RAC1, ANXA6, FYN, INPP5D, PIK3CD and SPARC genes in girls. Conclusion: These results suggest that 20-week exercise program influences different immune processes in children with overweight/obesity. The transcriptome differences between boys and girls could partly be explained, in addition to the gender differences, by the distinct intensity in the exercise intervention as boys had stronger exercise stimulus in training. Our findings should be considered exploratory and preliminary given the relatively small sample size. Larger and more powered randomized controlled trials should confirm or contrast our findings.

Dataset Information

Association of Sleep Duration and Overweight/Obesity among Children in China.

Publications

Association of Sleep Duration and Overweight/Obesity among Children in China.

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