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Yu T, Yu Y, Li X, Xue P, Yu X, Chen Y, Kong H, Lin C, Wang X, Mei H, Wang D, Liu S. Effects of childhood obesity and related genetic factors on precocious puberty: protocol for a multi-center prospective cohort study. BMC Pediatr 2022; 22:310. [PMID: 35624438 PMCID: PMC9135982 DOI: 10.1186/s12887-022-03350-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 05/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Childhood obesity has important effects on the onset and development of puberty. Although a number of studies have confirmed the relationship between obesity and precocious puberty, little is known about the pleiotropic genes of obesity and precocious puberty and the interaction between genes and environment. There are four objectives: (1) to analyze the incidence of precocious puberty in the general population in China; (2) to verify the direct effect of obesity on children's precocious puberty using a variety of methods; (3) to verify the effect of obesity and its risk gene polymorphism on precocious puberty in a prospective cohort study; and (4) to analyze the interaction effect of genes and environment on pubertal development. METHODS We will conduct a multi-center prospective cohort study in three cities, which are selected in southern, central, and northern China, respectively. Primary schools in these cities will be selected by a stratified cluster random sampling method. Primary school students from grade 1 to grade 3 (6 to 10 years old) will be selected for the cohort with extensive baseline data collection, including assessment of pubertal development, family demographic information, early development, sleep pattern, dietary pattern, and physical activity. Participants will be followed up for at least three years, and long-term follow-up will depend on future funding. DISCUSSION The findings of this multicenter prospective population-based cohort study may expand previous related puberty development research as well as provide important information on the mechanism of early puberty. Targeted interventions can also be developed to improve adolescent health problems related to puberty development based on the available evidence. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04113070 , prospectively registered on October 2, 2019.
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Affiliation(s)
- Tingting Yu
- Sanya Women and Children's Hospital, managed by Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 339 Yingbin Road, Sanya, 572022, China.,Office of Hospital Infection Management, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Ying Yu
- Sanya Women and Children's Hospital, managed by Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 339 Yingbin Road, Sanya, 572022, China
| | - Xiaoqing Li
- Sanya Women and Children's Hospital, managed by Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 339 Yingbin Road, Sanya, 572022, China.,School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng Xue
- Sanya Women and Children's Hospital, managed by Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 339 Yingbin Road, Sanya, 572022, China.,School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaodan Yu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Chen
- Department of Endocrinology and Genetic Metabolism, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huijun Kong
- Department of Pediatrics, Qu Fu People's Hospital, Qufu, Shandong, China
| | - Cuilan Lin
- Boai Hospital of Zhongshan, Southern Medical University, Zhongshan, Guangdong, China
| | - Xiumin Wang
- Department of Endocrinology and Genetic Metabolism, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Mei
- Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Dan Wang
- Sanya Women and Children's Hospital, managed by Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 339 Yingbin Road, Sanya, 572022, China.
| | - Shijian Liu
- Sanya Women and Children's Hospital, managed by Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 339 Yingbin Road, Sanya, 572022, China. .,School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, China.
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Lin Y, Wang G, Yang Y, Jin X, Huang H, Zhang Y, Jin Z. Risk factors for ASD : Risk Factors for Autism Spectrum Disorder in Shanghai, China: A Population-based Case-control Study. J Autism Dev Disord 2022:10.1007/s10803-022-05603-1. [PMID: 35596026 DOI: 10.1007/s10803-022-05603-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/04/2022] [Indexed: 12/16/2022]
Abstract
Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder that brings heavy burdens to families and the society. This case-control study explored risk factors for ASD based on 74,252 children aged 3-12 years who were recruited from general education kindergartens, primary schools, and special education schools in Shanghai, China. One hundred ninety-two children were identified with ASD according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition. Male sex, the presence of anoxia or asphyxia at birth, artificial feeding, adverse maternal psychological status, complications during pregnancy and higher paternal education were associated with ASD even after controlling for age, residential district, family history of mental disorders, parental personality, and amount of daily TV viewing.
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Affiliation(s)
- Yuanyuan Lin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guanghai Wang
- Pediatric Translational Medicine Institute, Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China
| | - You Yang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xingming Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Huang
- Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwen Zhang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Zhijuan Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Xie Y, Jin Z, Huang H, Li S, Dong G, Liu Y, Chen G, Guo Y. Outdoor light at night and autism spectrum disorder in Shanghai, China: A matched case-control study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 811:152340. [PMID: 34914994 DOI: 10.1016/j.scitotenv.2021.152340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/22/2021] [Accepted: 12/07/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Several environmental factors have been identified to be associated with autism spectrum disorder (ASD) over the past decades. However, evidence is limited for the effect of exposure to outdoor light at night (LAN) on ASD in China and even elsewhere in the world. METHODS Participants in this study were from a multi-stage sampling survey on ASD conducted between June 2014 and October 2014 among children aged 3-12 years in Shanghai, China. All participants underwent a two-stage screening of ASD via questionnaire, and then, suspected cases were finally diagnosed by clinical examination. For data analyses, each ASD case was randomly matched with 10 healthy controls by age and sex. The LAN data were extracted from the stable lights product of the US Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) according to geolocation information of residential addresses. Mean levels of exposure to LAN during the 3 years after birth and 1 year before birth were calculated. We used conditional logistic regression models to examine the association between LAN and ASD. RESULTS We investigated 84,934 children from 96 kindergartens, 55 primary schools, and 28 special education schools, and 203 children were diagnosed as ASD cases. A total of 1727 children (157 ASD cases and 1570 healthy controls) were included in the final analyses. Brighter LAN exposures after and before birth were significantly associated with higher risk of ASD. After adjusting for potential covariates, adjusted odd ratios and 95% confidence intervals associated with per unit increase in LAN were 1.066 (1.027, 1.107) during the 3 years after birth and 1.046 (1.018, 1.075) during the 1 year before birth. CONCLUSIONS Results of our study concluded brighter LAN exposure was significantly associated with higher risk of ASD among Chinese children, which suggested that outdoor LAN could be a potential risk factor of ASD.
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Affiliation(s)
- Yinyu Xie
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, China
| | - Zhijuan Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China
| | - Hong Huang
- Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Guanghui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
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Liu Y, Yu T, Li X, Pan D, Lai X, Chen Y, Wang X, Yu X, Fu S, Huang S, Lin C, Liu S. Prevalence of precocious puberty among Chinese children: a school population-based study. Endocrine 2021; 72:573-581. [PMID: 33528762 DOI: 10.1007/s12020-021-02630-3] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 01/09/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE To investigate the prevalence of precocious puberty in school-based population in Zhongshan, Guangdong, China. METHODS We recruited a total of 4058 students in grades 1-3 using a multistage stratified cluster random sampling method in a population-based cross-sectional study. We evaluated height, weight, and development of breast and pubic hair in girls, breast development was evaluated by inspection and palpation combined with ultrasound detection for overweight and obese girls, and testicular volume and development of pubic hair in boys. We estimated overall, sex-, age, and district-specific prevalence of precocious puberty and examined the association between prevalence of precocious puberty and body mass index (BMI). RESULTS The unadjusted and adjusted prevalence of precocious puberty by Tanner stage was 4.74% (girls:8.78%, boys:2.58%) and 6.19% (girls:11.47%, boys:3.26%), respectively. In both urban and suburban areas, the prevalence of precocious puberty was higher in the overweight and obese group than in the normal-weight group (p < 0.05). The prevalence of precocious puberty among overweight (27.94%) and obese (48.00%) girls was higher than that of normal-weight girls (8.73%) (p value for trend < 0.05). In boys, the prevalence of precocious puberty in the obese (6.78%) group was higher than that in the normal-weight (2.86%) group (p < 0.05). CONCLUSIONS The prevalence of precocious puberty was high in China. Overweight and obesity was related to precocious puberty, but this correlation had gender differences and may be affected by other environmental factors.
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Affiliation(s)
- Yifan Liu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou City, Guangdong Province, China
| | - Tingting Yu
- Department of Clinical Epidemiology and Biostatistics, Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoqing Li
- Department of Clinical Epidemiology and Biostatistics, Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dongxue Pan
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou City, Guangdong Province, China
| | - Xin Lai
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou City, Guangdong Province, China
| | - Yao Chen
- Department of Endocrine and Genetic Metabolic Diseases, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiumin Wang
- Department of Endocrine and Genetic Metabolic Diseases, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaodan Yu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Simao Fu
- Zhongshan Hospital of Sun-Yat-Sen University, Zhongshan City, Guangdong Province, China
| | - Sizhe Huang
- Health Care Center for Primary and Secondary Schools, Zhongshan City, Guangdong province, China
| | - Cuilan Lin
- Bo Ai Hospital of Zhongshan Affiliated to The Second School of Clinical Medicine, Southern Medical University, Zhongshan City, Guangdong Province, China.
| | - Shijian Liu
- Department of Clinical Epidemiology and Biostatistics, Children Health Advocacy Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Yu T, Chen C, Jin Z, Yang Y, Jiang Y, Hong L, Yu X, Mei H, Jiang F, Huang H, Liu S, Jin X. Association of number of siblings, birth order, and thinness in 3- to 12-year-old children: a population-based cross-sectional study in Shanghai, China. BMC Pediatr 2020; 20:367. [PMID: 32758208 PMCID: PMC7405454 DOI: 10.1186/s12887-020-02261-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 07/28/2020] [Indexed: 11/26/2022] Open
Abstract
Background Sibship size and structure have a significant association with overweight and obesity in children, but the relationship with thinness has not been fully studied and understood, especially in Asia. This study evaluated the associations among number of siblings, birth order, and childhood thinness and investigated the association of number of younger or older siblings with childhood thinness. Methods In this study, we performed a population-based cross-sectional study among 84,075 3- to 12-year-old children in Shanghai using multistage stratified cluster random sampling. We defined grades 1, 2, and 3 thinness according to the body mass index cutoff points set by the International Obesity Task Force and used multinomial logistic regression models to estimate the odds ratio (OR) and 95% confidence interval (95% CI). Results Compared with only children, for boys, children with two or more siblings were more likely to suffer from grade 2 (OR = 1.29, 95% CI 1.02, 1.64) and grade 3 thinness (OR = 1.60, 95% CI 1.07, 2.40); and the youngest child faced a higher risk of grade 2 (OR = 1.44, 95% CI 1.09, 1.90) and grade 3 thinness (OR = 1.53, 95% CI 1.01, 2.33). For girls, children with one sibling were more likely to suffer from grade 1 thinness (OR = 1.22, 95% CI 1.05, 1.42); the oldest child, middle child, and youngest child faced a higher risk of grade 1 (OR = 1.42, 95% CI 1.09, 1.84), grade 2 (OR = 1.26, 95% CI 1.03, 1.54), and grade 1 thinness (OR = 1.87, 95% CI 1.21, 2.88) respectively. There was no statistically significant relationship, however, between a larger number of younger or older siblings and childhood thinness. Conclusions Regardless of sex, having either siblings or a higher birth order was positively associated with childhood thinness. The present study has suggested that future interventions to prevent childhood thinness should consider family background as an important factor, especially in multi-child-families.
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Affiliation(s)
- Tingting Yu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, China
| | - Chang Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, China.,Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Zhijuan Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - You Yang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Hong
- Department of Clinical Nutrition, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaodan Yu
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, China.,Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.,Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Mei
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, China.,Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Fan Jiang
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, China.,Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.,Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Huang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Shijian Liu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200127, China. .,Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Xingming Jin
- Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.,Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Developmental and Behavioral Pediatrics, Shanghai Pubin Children Hospital, Shanghai, China
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[Abnormal brain structure in preschool and school-aged children with autism spectrum disorder]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2019; 21. [PMID: 31416497 PMCID: PMC7389909 DOI: 10.7499/j.issn.1008-8830.2019.08.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
OBJECTIVE To investigate the prevalence and type of abnormal brain structure in preschool and school-aged children with autism spectrum disorder (ASD). METHODS A total of 74 252 preschool and school-aged children aged 3-12 years in Shanghai were enrolled as subjects. A questionnaire survey was performed to collect basic information, and their parents and teachers completed the Social Communication Questionnaire (SCQ) based on the children's conditions. ASD was diagnosed by specialist physicians according to the DSM-5 criteria. Brain magnetic resonance imaging (MRI) was performed according to their parents' desires. RESULTS The overall prevalence rate of ASD was 2.59‰ (192/74 252) in the preschool and school-aged children. Brain MRI data were collected from 73 children with ASD and 185 healthy children. Among the 73 children with ASD, 40 (55%) had abnormal brain structure, and the most common types were unilateral or bilateral ventriculomegaly in 32 children (80%) and unilateral or bilateral deep frontotemporal sulci in 12 children (30%). Children with ASD showed lower white matter signal in bilateral ventricular and unilateral or bilateral deep frontotemporal sulci, compared to their normal peers (P<0.05). CONCLUSIONS There is a high prevalence rate of abnormal brain structure in preschool and school-aged children with ASD, with major types of unilateral or bilateral ventriculomegaly and unilateral or bilateral deep frontotemporal sulci. It is speculated that abnormal brain structure might be associated with the pathogenesis of ASD, and further studies are needed to clarify the association between abnormal brain structure and symptoms in children with ASD.
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Zhang AY, Jin XM, Ma J. [Abnormal brain structure in preschool and school-aged children with autism spectrum disorder]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2019; 21:749-753. [PMID: 31416497 PMCID: PMC7389909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 05/13/2019] [Indexed: 08/01/2024]
Abstract
OBJECTIVE To investigate the prevalence and type of abnormal brain structure in preschool and school-aged children with autism spectrum disorder (ASD). METHODS A total of 74 252 preschool and school-aged children aged 3-12 years in Shanghai were enrolled as subjects. A questionnaire survey was performed to collect basic information, and their parents and teachers completed the Social Communication Questionnaire (SCQ) based on the children's conditions. ASD was diagnosed by specialist physicians according to the DSM-5 criteria. Brain magnetic resonance imaging (MRI) was performed according to their parents' desires. RESULTS The overall prevalence rate of ASD was 2.59‰ (192/74 252) in the preschool and school-aged children. Brain MRI data were collected from 73 children with ASD and 185 healthy children. Among the 73 children with ASD, 40 (55%) had abnormal brain structure, and the most common types were unilateral or bilateral ventriculomegaly in 32 children (80%) and unilateral or bilateral deep frontotemporal sulci in 12 children (30%). Children with ASD showed lower white matter signal in bilateral ventricular and unilateral or bilateral deep frontotemporal sulci, compared to their normal peers (P<0.05). CONCLUSIONS There is a high prevalence rate of abnormal brain structure in preschool and school-aged children with ASD, with major types of unilateral or bilateral ventriculomegaly and unilateral or bilateral deep frontotemporal sulci. It is speculated that abnormal brain structure might be associated with the pathogenesis of ASD, and further studies are needed to clarify the association between abnormal brain structure and symptoms in children with ASD.
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Affiliation(s)
- An-Yi Zhang
- Shanghai Children's Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
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Prevalence of DSM-5 Autism Spectrum Disorder Among School-Based Children Aged 3-12 Years in Shanghai, China. J Autism Dev Disord 2019; 48:2434-2443. [PMID: 29453711 DOI: 10.1007/s10803-018-3507-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We estimated the prevalence of ASD in a population-based sample comprising children aged 3-12 years (N = 74,252) in Shanghai. This included a high-risk group sampled from special education schools and a low-risk group randomly sampled from general schools. First, we asked parents and then teachers to complete the Social Communication Questionnaire for participating children. Children who screened positive based on both parental and teachers' reports were comprehensively assessed. ASD was identified based on DSM-5 criteria. We identified 711 children as being at-risk for ASD, of which 203 were identified as ASD cases. The prevalence of ASD was 8.3 per 10,000, which is likely an underestimate, given that 81.6% of the children diagnosed with ASD had IQs below 40. This is the first report on the prevalence of ASD according to DSM-5 in China.
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Chen C, Jin Z, Yang Y, Jiang F, Huang H, Liu S, Jin X. Association of low birth weight with thinness and severe obesity in children aged 3-12 years: a large-scale population-based cross-sectional study in Shanghai, China. BMJ Open 2019; 9:e028738. [PMID: 31152041 PMCID: PMC6549709 DOI: 10.1136/bmjopen-2018-028738] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES Low birth weight (BW) is a general symbol of inadequate intrauterine conditions that elicit abnormal fetal growth and development. The aim of current study is to investigate the relationship between low BW and thinness or severe obesity during maturation. DESIGN A large-scale cross-sectional population-based survey. SETTING 134 kindergartens and 70 elementary schools. PARTICIPANTS 70 284 Chinese children aged 3-12 years. OUTCOME MEASURES International Obesity Task Force body mass index (BMI) cut-offs were used to define grade 1, grade 2 and grade 3 thinness, overweight, obesity and severe obesity. Multinomial logistic regression was used to estimate the association between BW and BMI category. RESULTS A total of 70 284 children participated in the survey. The percentage of grade 1 thinness and severe obesity in children with low BW is significantly higher than that in children with normal BW (p<0.05). Low BW was associated with an increased risk of grade 1 thinness (OR 1.56, 95% CI 1.38 to 1.75), grade 2 thinness (OR 1.34, 95% CI 1.10 to 1.64), grade 3 thinness (OR 1.99, 95% CI 1.63 to 2.42) and severe obesity (OR 1.27, 95% CI 1.03 to 1.55) but was not associated with obesity (OR 0.85, 95% CI 0.67 to 1.06). CONCLUSION There is a positive association between low BW and thinness or severe obesity risk.
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Affiliation(s)
- Chang Chen
- Pediatric Translational Medicine Institute, Shanghai Children’s Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Public Health, Shanghai Jiao Tong University, Shanghai, China
- Key Laboratory of Children’s Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhijuan Jin
- Developmental and Behavioral Pediatrics, Shanghai Children’s Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - You Yang
- Developmental and Behavioral Pediatrics, Shanghai Children’s Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Jiang
- Developmental and Behavioral Pediatrics, Shanghai Children’s Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Huang
- Key Laboratory of Children’s Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shijian Liu
- Pediatric Translational Medicine Institute, Shanghai Children’s Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Public Health, Shanghai Jiao Tong University, Shanghai, China
- Key Laboratory of Children’s Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xingming Jin
- Developmental and Behavioral Pediatrics, Shanghai Children’s Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Developmental and Behavioral Pediatrics, Shanghai Pubin Children Hospital, Shanghai, China
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Zhang A, Li J, Zhang Y, Jin X, Ma J. Epilepsy and Autism Spectrum Disorder: An Epidemiological Study in Shanghai, China. Front Psychiatry 2019; 10:658. [PMID: 31572239 PMCID: PMC6751887 DOI: 10.3389/fpsyt.2019.00658] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 08/14/2019] [Indexed: 12/27/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disease that may involve various brain abnormalities. However, there are few large epidemiological studies on the relation between epilepsy and ASD in terms of different genders and ages. This study aimed to evaluate the relation between epilepsy and ASD based on 74,251 Chinese children aged 3-12 years who were recruited from kindergartens and primary schools in China. ASD was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-V), and verification of epilepsy was based on medical records. The enrolled children diagnosed with ASD were examined by magnetic resonance imaging (MRI) and took genetic tests to rule out other neurological and congenital diseases. The raw odds ratio (OR) was 60.53 [95% confidence interval (CI) = 37.80-96.92, P < 0.01] for epilepsy and ASD, and the adjusted OR was 38.99 (95% CI = 20.70-73.41, P < 0.01) after controlling for the confounders. Moreover, the adjusted OR was significantly higher in girls (OR = 45.26, 95% CI = 16.42-124.76, P < 0.01) than in boys (OR = 32.64, 95% CI = 14.33-74.34, P < 0.01). Among children with younger age, the adjusted OR was the highest (OR = 75.12, 95% CI = 22.80-247.48.16, P < 0.01). These findings suggest that epilepsy might be closely linked to the development of ASD, especially for early-onset epilepsy and among girls.
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Affiliation(s)
- Anyi Zhang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Institute of Pediatric Translational Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jijun Li
- Department of Integrative Medicine on Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwen Zhang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Institute of Pediatric Translational Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xingming Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Institute of Pediatric Translational Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Ma
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Institute of Pediatric Translational Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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11
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Chen G, Jin Z, Li S, Jin X, Tong S, Liu S, Yang Y, Huang H, Guo Y. Early life exposure to particulate matter air pollution (PM 1, PM 2.5 and PM 10) and autism in Shanghai, China: A case-control study. ENVIRONMENT INTERNATIONAL 2018; 121:1121-1127. [PMID: 30409451 DOI: 10.1016/j.envint.2018.10.026] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 10/12/2018] [Accepted: 10/14/2018] [Indexed: 05/29/2023]
Abstract
BACKGROUND The evidence for adverse effects of ambient particulate matter (PM) pollution on mental health is limited. Studies in Western countries suggested higher risk of autism spectrum disorder (ASD) associated with PM air pollution, but no such study has been done in developing countries. METHODS A case-control study was performed in Shanghai with a multi-stage random sampling design. Children's exposures to PM1, PM2.5 and PM10 (particulate matter with aerodynamic diameter < 1 μm, < 2.5 μm and < 10 μm, respectively) during the first three years after birth were estimated with satellite remote sensing data. Conditional logistic regression was used to examine the PM-ASD association. RESULTS In total, 124 ASD cases and 1240 healthy controls were included in this study. The median levels of PM1, PM2.5 and PM10 exposures during the first three years of life were 48.8 μg/m3, 66.2 μg/m3 and 95.4 μg/m3, respectively, and the interquartile range (IQR) for these three pollutants were 4.8 μg/m3, 3.4 μg/m3 and 4.9 μg/m3, respectively. The adjusted odds ratios (and 95% confidence intervals) of ASD associated with an IQR increase for PM1, PM2.5 and PM10 were 1.86 (1.09, 3.17), 1.78 (1.14, 2.76) and 1.68 (1.09, 2.59), respectively. Higher ORs of ASD associated with PM pollution were observed in the second and the third year after birth. CONCLUSIONS Exposures to PM1, PM2.5 and PM10 during the first three years of life were associated with the increased risk of ASD and there appeared to be stronger effects of ambient PM pollution on ASD in the second and the third years after birth.
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Affiliation(s)
- Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Zhijuan Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Xingming Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China; School of Public Health and Institute of Environment and Human Health, Anhui Medical University, Hefei, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia
| | - Shijian Liu
- Department of Clinical Epidemiology and Biostatistics, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - You Yang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Hong Huang
- Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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