BackgroundChildhood obesity is a worldwide critical health concern. We aimed to clarify whether eating behaviours increased the risk of childhood obesity.MethodsWe recruited 2,049 pre-school children aged 3–6 years between 1 December 2021 and 31 January 2022 in Taizhou, China. Children's weight status was classified according to the International Obesity Task Force criteria, and their eating behaviours were evaluated using the Children's Eating Behaviour Questionnaire. Correlation analyses, linear regressions, and one-way ANCOVA. were performed to analyse the association between children's eating behaviours and weight status.ResultsIn ‘Food Avoidant' subscales, the scores of satiety responsiveness (P < 0.001) and slowness in eating (P = 0.001) were negatively associated with body mass index z score among pre-school children of both sexes. In ‘Food Approach’ subscales, the score of enjoyment of food was positively associated with body mass index z score in both boys (P = 0.007) and girls (P = 0.035), but the association of scores of food responsiveness with body mass index z score was found only in girls (P = 0.001).ConclusionOur results supported that pre-school children with low scores in ‘Food Avoidant’ subscales and high scores in ‘Food Approach’ scales were more likely to become obese.
This study was aimed to evaluate the clinical efficacy of hemangioma resection in the treatment of infantile encephalofacial angiomatosis (Sturge–Weber syndrome, SWS) through magnetic resonance imaging (MRI) images, and intelligent algorithms were employed to process MRI images. A retrospective study of 45 children diagnosed with facial hemangioma admitted to hospital was conducted. Then, MRS images were acquired, and a mathematical model for MRI image denoising and reconstruction was constructed based on nonlocal similar block low-rank prior algorithms. The processing effect was assessed regarding the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). Finally, MRI images were collected to analyze the difference between the metabolites of N-acetylaspartic acid (NAA), creatine (Cr), choline (Cho), and their ratios in the lesions of the children before and after treatment. The improvement rate was analyzed through a twelve-month follow-up. The algorithm test results showed that compared with the classic K-singular value decomposition (K-SVD) denoising algorithm and the Sparse MRI reconstruction algorithm, the proposed algorithm processed MRI images more clearly and had more detailed information. The quantitative results showed that the PSNR and SSIM in the image processed by the algorithm proposed were remarkably large. The clinical treatment results showed that compared with those before treatment, the nCho level after treatment, the ratio of Cho/Cr and Cho/NAA were remarkably reduced, and the difference was remarkable (P < 0.05). The follow-up results showed that the considerable improvement rate was 88.89%, the postoperative organ remodeling rate was 17.78%, and the probability of reoperation was only 6.67%. In summary, the introduction of intelligent algorithms for denoising and reconstruction of MRI images can remarkably improve image quality and help doctors use image information to diagnose diseases and evaluate treatment effects. The hemangioma resection for the treatment of pediatric SWS had a high treatment improvement rate and was worthy of clinical adoption.
This study describes the first sequencing of the complete mitochondrial genome of Schizothorax sinensis, a species of cyprinid snowtrout from the Jialing River and Fujiang River basins in China's Sichuan Province. The total length is 16,571 base pairs. Similar to most Schizothoracinae mitochondrial genomes, there are 37 genes including 13 protein coding genes, 22 transfer RNA genes and 2 ribosomal RNA genes. In addition, it contains a control region rich in AT nucleotides. The overall nucleotide composition is 29.6% for A, 27.1% for C, 17.9% for G and 25.4% for T, and the percentage of GC content is 45.0%. Phylogenetic analysis suggested that Schizothorax sinensis and Schizothorax prenanti clustered together in a clade. This work provides additional molecular information for studying Schizothorax sinensis conservation genetics and evolutionary relationships.
BackgroundEarly childhood is a critical period for dietary education and development of good eating habits. However, few studies have investigated the effect of eating order in children and childhood obesity in real-world settings.ObjectiveTo examine whether the order in which meats/fish or vegetables are consumed affects the risk of obesity in preschoolers.MethodsWe conducted a population-based cross-sectional study using a self-administered online survey on the lifestyle and health behaviors of preschoolers in Taizhou, China. A total of 3,200 parents were invited to take part in the survey, and 2,049 of them completed the questionnaire. Children were classified as having a normal weight, overweight, or obesity using the definitions provided by the International Obesity Task Force, and z-scores for body mass index were calculated. We divided the children's eating order at the beginning of the meal into two groups: “vegetables before meats/fish” or “meats/fish before vegetables”. We analyzed the relationship between what was consumed first at a meal and the overweight status of each child.ResultsNo difference in body mass index was observed between the children eating meats/fish-first and the children eating vegetables-first during a meal. Children with parents who were affected by obesity were more likely to eat vegetables first. Among children of mothers with obesity, body mass index was significantly higher in the meats/fish-first group than that in the vegetable-first group (2.891 vs. 0.845, P = 0.007). In children whose mothers were affected by obesity, those that ate meats/fish first had a 12.21 times higher risk of being overweight compared with those that ate vegetables first (95% CI:1.22–121.74, P = 0.033).ConclusionOur findings suggest eating vegetables or meats/fish at the start of a meal does not affect weight status in preschoolers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.