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Zhang Y, Zhang L, Xia W, Fang L, Zhu T. Maternal and infant outcomes of pregnancy after kidney transplantation: a retrospective cohort study. Arch Gynecol Obstet 2025; 311:1305-1313. [PMID: 39907749 PMCID: PMC12033181 DOI: 10.1007/s00404-025-07947-2] [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: 08/30/2024] [Accepted: 01/09/2025] [Indexed: 02/06/2025]
Abstract
PURPOSE To investigate the effect of postoperative pregnancy on maternal-infant outcomes and transplanted kidney function in kidney transplantation (KT) recipients. METHODS Our study included 104 KT recipients and 104 non-KT women who delivered at four hospitals affiliated with Zhejiang University School of Medicine from December 2015 to November 2023. RESULTS In the KT group, kidney function showed a downward trend after delivery, and most patients recovered normal kidney function within 6 months postpartum. Tacrolimus blood concentration during pregnancy averaged (6.1 ± 1.4) μg/L, increasing to (7.1 ± 2.6) μg/L on the second day after delivery, indicating an upward trend in postpartum concentrations. Compared to the non-KT group, the KT group had higher prevalences of gestational hypertension (33.7% vs. 3.3%), gestational diabetes mellitus (21.2% vs. 17.5%), intrahepatic cholestasis of pregnancy (5.8% vs. 1.7%), placental abruption (1.9% vs. 0.8%), and preterm birth rate (79.8% vs. 9.2%) but had a lower prevalence of fetal growth restriction (8.3% vs. 21.7%). Univariate analysis showed that pre-pregnancy estimated glomerular filtration rate (eGFR), penatal eGFR, gestational hypertension, and preeclampsia may influence neonatal outcomes. Binary logistic regression analysis showed that preeclampsia (odds ratio [OR] = 133.89, 95% confidence interval [CI]: 1.27-156.20, P = 0.031) and hypertension during pregnancy (OR = 5.81, 95% CI: 1.02-33.27, P = 0.048) were risk factors, and glomerular filtration rate during pregnancy (OR = 0.95, 95% CI: 0.90-0.99, P = 0.026) was a protective factor. CONCLUSION Although pregnancies in KT recipients are considered high-risk, the overall risks are manageable. Strengthening the management of KT recipients with reproductive intent is recommended to improve maternal and infant outcomes.
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Affiliation(s)
- Yan Zhang
- Department of Nursing, Zhejiang University School of Medicine First Affiliated Hospital, No. 1367, Wenyi West Road, Yuhang District, Hangzhou City, 311100, Zhejiang Province, People's Republic of China.
| | - Lily Zhang
- Department of Nursing, Zhejiang University School of Medicine First Affiliated Hospital, No. 1367, Wenyi West Road, Yuhang District, Hangzhou City, 311100, Zhejiang Province, People's Republic of China
| | - Weicong Xia
- Department of Cardiology, Zhejiang University School of Medicine First Affiliated Hospital, No. 1367, Wenyi West Road, Yuhang District, Hangzhou City, 311100, Zhejiang Province, People's Republic of China
| | - Lulu Fang
- Department of Gynecology and Obstetrics, Zhejiang University School of Medicine First Affiliated Hospital, No. 1367, Wenyi West Road, Yuhang District, Hangzhou City, 311100, Zhejiang Province, People's Republic of China
| | - Tongwei Zhu
- Department of Gynecology and Obstetrics, Zhejiang University School of Medicine First Affiliated Hospital, No. 1367, Wenyi West Road, Yuhang District, Hangzhou City, 311100, Zhejiang Province, People's Republic of China
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Zhou X, Zhang X, Bai G, Dong G, Li X, Chen R, Chen S, Zheng R, Wang C, Wei H, Cao B, Liang Y, Yao H, Su Z, Maimaiti M, Luo F, Li P, Zhu M, Du H, Yang Y, Cui L, Wang J, Yuan J, Liu Z, Wu W, Zhao Q, Fu J. Long-Term Exposure to Fine Particulate Matter (PM 2.5) Components and Precocious Puberty Among School-Aged Children: Cross-Sectional Study. JMIR Public Health Surveill 2025; 11:e62861. [PMID: 39924303 PMCID: PMC11830487 DOI: 10.2196/62861] [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: 06/03/2024] [Revised: 12/12/2024] [Accepted: 12/12/2024] [Indexed: 02/11/2025] Open
Abstract
Background The increasing incidence of precocious puberty is a major health challenge for Chinese children, while related risk factors remain less well explored. Exposure to ambient fine particulate matter (PM2.5) is a leading environmental hazard in China. Although certain components of PM2.5 have been reported to be endocrine disruptors for sex hormones, population-based evidence is still lacking on the association between PM2.5 exposure and precocious puberty in China. Objective Based on a cross-sectional survey covering 30 cities in 2017 to 2019, this study was designed to explore the association between long-term exposure to PM2.5 and its 5 major components with precocious puberty in China and to check the potential modifying effects of family-related and personal factors. Methods We included 34,105 children aged 6 to 9 years. We collected the 5-year average concentrations of PM2.5 and its 5 major components (sulfate, nitrate, ammonium, organic matter, and black carbon) in the area (at a spatial resolution of 0.1° × 0.1°) where each school was located. We used mixed effect logistic regression to estimate the effect sizes of the total mass of PM2.5 and each of its components on precocious puberty, and we examined the modifying effects of family-related and personal factors using an additional interactive term. A weighted quantile sum (WQS) regression model was applied to identify the weights of each component in explaining the effect size of the total mass of PM2.5. Results We found that the odds ratio (OR) for precocious puberty per IQR increase in the concentration of total PM2.5 mass was 1.27 (95% CI 0.92-1.75) for the whole population, 2.12 (95% CI 1.27-3.55) for girls, and 0.90 (95% CI 0.62-1.30) for boys. Similarly, the effect sizes of the 5 major components were all substantial for girls but minimal for boys. Results of the WQS analysis showed that organic matter could explain the highest proportion of the effect of PM2.5, with the weight of its contribution being 0.71. Modification effects of family income and dietary habits were only observed in certain population subgroups. Conclusions Long-term exposure to total PM2.5 mass was significantly associated with precocious puberty in girls, with organic matter identified as the major effect contributor. The results add evidence on the detrimental effects of PM2.5 on children's development and growth.
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Affiliation(s)
- Xuelian Zhou
- Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, 3333 Binsheng Road, Hangzhou, 310051, China, 86 0571-86670013
| | - Xiaochi Zhang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong University Climate Change and Health Center, Shandong University, Jinan, China
| | - Guannan Bai
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Guanping Dong
- Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, 3333 Binsheng Road, Hangzhou, 310051, China, 86 0571-86670013
| | - Xinyi Li
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong University Climate Change and Health Center, Shandong University, Jinan, China
| | - Ruimin Chen
- Department of Endocrinology, Children’s Hospital of Fuzhou, Fujian Province, Fuzhou, China
| | - Shaoke Chen
- Department of Pediatrics, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Rongxiu Zheng
- Department of Pediatrics, Tianjin Medical University Central Hospital, Tianjin, China
| | - Chunlin Wang
- Department of Pediatrics, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Haiyan Wei
- Department of Endocrinology, Zhengzhou Children’s Hospital, Zhengzhou, China
| | - Bingyan Cao
- Department of Endocrinology, Beijing Children’s Hospital, Capital Medical University, National Medical Center for Children’s Health, Beijing, China
| | - Yan Liang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Yao
- Department of Pediatrics, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Zhe Su
- Department of Endocrinology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Mireguli Maimaiti
- Department of Pediatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Feihong Luo
- Department of Pediatric Endocrinology and Inherited Metabolic Diseases, Children’s Hospital of Fudan University, Shanghai, China
| | - Pin Li
- Department of Endocrinology, Children’s Hospital of Shanghai Jiaotong University, Shanghai, China
| | - Min Zhu
- Department of Endocrinology, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Hongwei Du
- Department of Pediatric Endocrinology, The First Bethune Hospital of Jilin University, Changchun, China
| | - Yu Yang
- Department of Endocrinology, Jiangxi Provincial Children’s Hospital, Nanchang, China
| | - Lanwei Cui
- Department of Pediatrics, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jinling Wang
- Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, 3333 Binsheng Road, Hangzhou, 310051, China, 86 0571-86670013
| | - Jinna Yuan
- Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, 3333 Binsheng Road, Hangzhou, 310051, China, 86 0571-86670013
| | - Zhuang Liu
- Department of Reproductive Medicine, Hospital of Jining Medical University, Jining, China
| | - Wei Wu
- Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, 3333 Binsheng Road, Hangzhou, 310051, China, 86 0571-86670013
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong University Climate Change and Health Center, Shandong University, Jinan, China
- Faculty of Health, Deakin University, Melbourne, Australia
| | - Junfen Fu
- Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, 3333 Binsheng Road, Hangzhou, 310051, China, 86 0571-86670013
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Zhai Y, Gou H, Sun X. The Association Between Gestational Age and Type 1 Diabetes Mellitus in Children and Adolescents: A Systematic Review and Network Meta-Analysis. Paediatr Perinat Epidemiol 2025; 39:220-229. [PMID: 39844384 DOI: 10.1111/ppe.13170] [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: 06/04/2024] [Revised: 11/27/2024] [Accepted: 01/04/2025] [Indexed: 01/24/2025]
Abstract
BACKGROUND With genetics thought to explain a portion of the overall risk of type 1 diabetes mellitus (T1DM), environmental risk factors in early life have been proposed. Previous studies on the incidence of T1DM in children or adolescents by gestational age at birth have yielded inconsistent results. OBJECTIVES To clarify the association between gestational age at birth and T1DM in childhood/adolescence and to offer evidence-based support for the prevention or screening of T1DM. DATA SOURCES PubMed, Embase, Web of Science, and the Cochrane Library were searched from the inception of the databases to February 7, 2024. STUDY SELECTION AND DATA EXTRACTION Data were extracted using a standardised form created a priori, and quality was assessed using the Newcastle-Ottawa Scale (NOS). SYNTHESIS Due to the diversity of gestational age groups in the original studies, a Bayesian network meta-analysis was performed to discuss the association of different gestational ages with the risk of T1DM in childhood/adolescence. RESULTS A total of 13 studies on children/adolescents with T1DM were included. Compared with the gestational age of 39-40 weeks, gestational ages of < 37 weeks (odds ratio [OR] 1.35, 95% credible interval [CrI] 1.19, 1.53), 33-36 weeks (OR 1.19, 95% CrI 1.11, 1.27), and 37-38 weeks (OR 1.26, 95% CrI 1.21, 1.30) were correlated with an increased risk of T1DM, whereas gestational ages of < 32 weeks (OR 0.61, 95% CrI 0.43, 0.88) and < 33 weeks (OR 0.72, 95% CrI 0.59, 0.87) were correlated with a lower risk. CONCLUSIONS A higher risk of T1DM was observed in infants born early term or preterm compared to full-term infants. However, the results of this network meta-analysis indicate that extremely or very preterm infants were less likely to develop T1DM. Further studies are needed to validate this in the future.
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Affiliation(s)
- Yiman Zhai
- Pediatrics Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Hao Gou
- Pediatrics Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Xiangjuan Sun
- Pediatrics Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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Valensin C, Côté EJM, Pereira-Carvalho D, Gardner RA, Nishku G, Giles CL, Gill C, Brockbank A, Story L, Shennan AH, Suff N, Gibbons DL, Tribe RM. INSIGHT-2: mechanistic studies into pregnancy complications and their impact on maternal and child health-study protocol. Reprod Health 2024; 21:177. [PMID: 39609862 PMCID: PMC11605920 DOI: 10.1186/s12978-024-01911-0] [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: 10/09/2024] [Accepted: 11/14/2024] [Indexed: 11/30/2024] Open
Abstract
BACKGROUND Pregnancy and early childhood cohorts provide a framework for investigating the complex interplay between early-life exposures and health outcomes, thereby informing prevention strategies and interventions to improve maternal and child health. In this paper, we outline the objectives, methodologies and expected contributions of INSIGHT-2, a comprehensive cohort study dedicated to advancing our understanding of pregnancy and pregnancy complications towards improving the health and well-being of mothers and their offspring. METHODS Over the course of 5 years, the study aims to establish a diverse cohort of 1700 pregnant women and to follow up their children up to 2 years of age. Recruitment targets participants with healthy pregnancies, preexisting conditions, and/or risk factors for pregnancy complications or later child health problems. Clinical and lifestyle data and a range of biological samples will be collected, providing a comprehensive resource for biomarker investigations and cross-sectional analyses. It is anticipated that the cohort will continue beyond this initial 5-year plan. DISCUSSION By gathering a wide range of biological samples and using diverse analytical techniques, this study supports broad participation, potential replication and collaboration across various sites. The extensive collection of longitudinal data and samples not only facilitates current investigations but also establishes a biobank for future research. The exploration of pre-pregnancy and pregnancy factors that may contribute to disease processes and impact fetal well-being and future health will provide a comprehensive picture of disease mechanisms in both mothers and children, facilitating the identification of biomarkers for the prediction, diagnosis, and management of pregnancy complications. Additionally, our diverse population allows for the capture of various pregnancy complications and outcomes, enhancing external validity and addressing health disparities. This comprehensive design ultimately aims to improve maternal and child health outcomes by providing a valuable longitudinal study of the relationships among the in utero environment, pregnancy management, and long-term maternal and child health, ensuring that findings are relevant and beneficial to a broader population.
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Affiliation(s)
- Carlotta Valensin
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK.
| | - Emilie J M Côté
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Daniela Pereira-Carvalho
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
- Peter Gorer Department of Immunobiology, Guy's Hospital, King's College London, London, UK
| | - Rachael A Gardner
- Guy's and St Thomas' National Health Service Foundation Trust, London, UK
| | - Glen Nishku
- Guy's and St Thomas' National Health Service Foundation Trust, London, UK
| | - Caitlin L Giles
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Carolyn Gill
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Anna Brockbank
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Lisa Story
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
- Department of Perinatal Imaging, St Thomas' Hospital, King's College London, London, UK
- Guy's and St Thomas' National Health Service Foundation Trust, London, UK
| | - Andrew H Shennan
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
- Guy's and St Thomas' National Health Service Foundation Trust, London, UK
| | - Natalie Suff
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
| | - Deena L Gibbons
- Peter Gorer Department of Immunobiology, Guy's Hospital, King's College London, London, UK
| | - Rachel M Tribe
- Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK
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Olsen IE, Granger M, Masoud W, Clark RH, Ferguson AN. Defining Body Mass Index Using Weight and Length for Gestational Age in the Growth Assessment of Preterm Infants at Birth. Am J Perinatol 2024; 41:e2735-e2743. [PMID: 37683671 DOI: 10.1055/s-0043-1774316] [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] [Indexed: 09/10/2023]
Abstract
OBJECTIVE The objectives of this study were to describe (1) body mass indexes (BMIs) using weight and length for gestational age (GA) classifications, and (2) the additional information BMI, as a measure of body proportionality, provides for preterm infant growth assessment and care plans at birth. STUDY DESIGN Birth weight, length, and BMI of 188,646 preterm infants (24-36 weeks gestation) admitted to U.S. neonatal intensive care units (Pediatrix Clinical Data Warehouse, 2013-2018) were classified (Olsen curves) as small, appropriate, or large for GA (SGA < 10th, AGA 10-90th, LGA > 90th percentile for GA, respectively). The distribution for the 27 weight-length-BMI combinations was described. RESULTS At birth, most infants were appropriate for weight (80.0%), length (82.2%), head circumference (82.9%), and BMI (79.9%) for GA. Birth weight for GA identified approximately 20% of infants as SGA or LGA. Infants born SGA (or LGA) for both weight and length ("proportionate" in size) were usually appropriate for BMI (59.0% and 75.6%). BMI distinguished disproportionate weight for length in infants with SGA or LGA weight at birth (58.3%, 49.9%). BMI also identified 11.4% of AGA weight infants as small or large for BMI ("disproportionate" in size) at birth; only using weight for GA missed these underweight/overweight for length infants. CONCLUSION The unique, additional information provided by birth BMI further informs individualized preterm infant growth assessment by providing an assessment of an infant's body proportionality (weight relative to its length) in addition to the routine assessment of weight, length, and head circumference for GA and may better inform care plans and impact outcomes. KEY POINTS · Most preterm infants were born AGA for all growth measures.. · AGA weight infants may be under- or overweight for length.. · BMI distinguished body disproportionality in SGA/LGA infants.. · Recommend BMI assessed along with weight, length and head.. · Further research on BMI in preterm infants is needed..
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Affiliation(s)
- Irene E Olsen
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, Philadelphia, Pennsylvania
| | - Marion Granger
- School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia
| | - Waleed Masoud
- School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia
| | - Reese H Clark
- The Pediatrix Center for Research, Education, Quality, and Safety (CREQS), Pediatrix Medical Group, Inc., Sunrise, Florida
| | - A Nicole Ferguson
- School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia
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Alazwari A, Johnstone A, Tafakori L, Abdollahian M, AlEidan AM, Alfuhigi K, Alghofialy MM, Albunyan AA, Al Abbad H, AlEssa MH, Alareefy AKH, Alshamrani MA. Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia. PLoS One 2023; 18:e0282426. [PMID: 36857368 PMCID: PMC9977054 DOI: 10.1371/journal.pone.0282426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 02/15/2023] [Indexed: 03/02/2023] Open
Abstract
The increasing incidence of type 1 diabetes (T1D) in children is a growing global concern. It is known that genetic and environmental factors contribute to childhood T1D. An optimal model to predict the development of T1D in children using Key Performance Indicators (KPIs) would aid medical practitioners in developing intervention plans. This paper for the first time has built a model to predict the risk of developing T1D and identify its significant KPIs in children aged (0-14) in Saudi Arabia. Machine learning methods, namely Logistic Regression, Random Forest, Support Vector Machine, Naive Bayes, and Artificial Neural Network have been utilised and compared for their relative performance. Analyses were performed in a population-based case-control study from three Saudi Arabian regions. The dataset (n = 1,142) contained demographic and socioeconomic status, genetic and disease history, nutrition history, obstetric history, and maternal characteristics. The comparison between case and control groups showed that most children (cases = 68% and controls = 88%) are from urban areas, 69% (cases) and 66% (control) were delivered after a full-term pregnancy and 31% of cases group were delivered by caesarean, which was higher than the controls (χ2 = 4.12, P-value = 0.042). Models were built using all available environmental and family history factors. The efficacy of models was evaluated using Area Under the Curve, Sensitivity, F Score and Precision. Full logistic regression outperformed other models with Accuracy = 0.77, Sensitivity, F Score and Precision of 0.70, and AUC = 0.83. The most significant KPIs were early exposure to cow's milk (OR = 2.92, P = 0.000), birth weight >4 Kg (OR = 3.11, P = 0.007), residency(rural) (OR = 3.74, P = 0.000), family history (first and second degree), and maternal age >25 years. The results presented here can assist healthcare providers in collecting and monitoring influential KPIs and developing intervention strategies to reduce the childhood T1D incidence rate in Saudi Arabia.
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Affiliation(s)
- Ahood Alazwari
- School of Science, RMIT University, Melbourne, Victoria, Australia
- School of Science, Al-Baha University, Al-Baha, Saudi Arabia
- * E-mail:
| | - Alice Johnstone
- School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Laleh Tafakori
- School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Mali Abdollahian
- School of Science, RMIT University, Melbourne, Victoria, Australia
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Tocco Tussardi I, Tfaily A, Locatelli F, Antonicelli L, Battaglia S, Bono R, Corsico AG, Murgia N, Pirina P, Ferrari M, Tardivo S, Jarvis DL, Verlato G. The Association of Self-Reported Birthweight with Lung Function and Respiratory Diseases: Results from a Multi-Centre, Multi-Case Control Study in Italy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15062. [PMID: 36429783 PMCID: PMC9690666 DOI: 10.3390/ijerph192215062] [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: 10/10/2022] [Revised: 11/10/2022] [Accepted: 11/12/2022] [Indexed: 06/16/2023]
Abstract
Early life conditions are associated with lung function and the development of respiratory and non-respiratory illnesses. The relationship with birthweight (BW), however, is conflicting. We examined associations of self-reported BW with lung function and the development of respiratory and also non-respiratory diseases within the GEIRD (Gene-Environment Interaction in Respiratory Diseases) project, an Italian multi-centre, multi-case control study involving cases of COPD, asthma, allergic rhinitis and controls. Multinomial logistic regression was performed with case/control status as response variable; BW as main determinant; and adjusting for sex, age and smoking status. Of the 2287 participants reporting BW, 6.4% (n = 147) had low BW (<2500 g), and this proportion was greater in women than men (7.8% vs. 5.1%; p = 0.006). Both men and women with low BW were shorter than those with normal BW (mean ± SD: 160.2 ± 5.5 vs. 162.6 ± 6.5 cm in women, p = 0.009; 172.4 ± 6.1 vs. 174.8 ± 7.2 cm in men, p < 0.001). Although FEV1 and FVC were reduced in individuals with low BW, this was explained by associations with sex and height. In multivariable analysis, BW was not associated with respiratory diseases in adulthood. However, those with low BW had a higher risk of self-reported hospitalisation for lung disease before the age of two (10.3% vs. 4.1%; p < 0.001), severe respiratory infection before the age of five (16.9% vs. 8.8%; p = 0.001) and hypertension in adulthood (29.9% vs. 23.7%; p = 0.001); however, they had a lower risk of arrhythmia (2.7% vs. 5.8%; p = 0.027).
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Affiliation(s)
- Ilaria Tocco Tussardi
- Department of Diagnostics and Public Health, Section of Hygiene, University of Verona, 37134 Verona, Italy
| | - Ahmad Tfaily
- Department of Diagnostics and Public Health, Section of Epidemiology and Medical Statistics, University of Verona, 37134 Verona, Italy
| | - Francesca Locatelli
- Department of Diagnostics and Public Health, Section of Epidemiology and Medical Statistics, University of Verona, 37134 Verona, Italy
| | - Leonardo Antonicelli
- Department of Internal Medicine, University Hospital of Ancona, 60131 Ancona, Italy
| | - Salvatore Battaglia
- ‘ProMISE’ (Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties) Department, University of Palermo, 90133 Palermo, Italy
| | - Roberto Bono
- Department of Public Health and Paediatrics, University of Torino, 10124 Torino, Italy
| | - Angelo G. Corsico
- Department of Internal Medicine and Medical Therapy, University of Pavia, 27100 Pavia, Italy
- Pneumology Unit, Foundation I.R.C.C.S. Policlinico San Matteo, 27100 Pavia, Italy
| | - Nicola Murgia
- Section of Occupational Medicine, Respiratory Diseases and Toxicology, University of Perugia, 06123 Perugia, Italy
| | - Pietro Pirina
- Department of Clinical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
| | - Marcello Ferrari
- Department of Respiratory Medicine, University of Verona, 37129 Verona, Italy
| | - Stefano Tardivo
- Department of Diagnostics and Public Health, Section of Hygiene, University of Verona, 37134 Verona, Italy
| | - Deborah L. Jarvis
- National Heart and Lung Institute, Section of Genomic and Environmental Medicine, Imperial College London, London SW7 2BX, UK
| | - Giuseppe Verlato
- Department of Diagnostics and Public Health, Section of Epidemiology and Medical Statistics, University of Verona, 37134 Verona, Italy
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8
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Chen J, Jin L, Wang F, Huang K, Wu W, Chen R, Maimaiti M, Chen S, Cao B, Zhu M, Wang C, Su Z, Liang Y, Yao H, Wei H, Zheng R, Du H, Luo F, Li P, Yu Y, Wang E, Dorazio RM, Fu J. Risk factors for obesity and overweight in Chinese children: a nationwide survey. Obesity (Silver Spring) 2022; 30:1842-1850. [PMID: 35918882 PMCID: PMC9545785 DOI: 10.1002/oby.23515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/18/2022] [Accepted: 05/18/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE This study aimed to analyze a comprehensive set of potential risk factors for obesity and overweight among Chinese children with a full range of ages and with wide geographical coverage. METHODS In the Prevalence and Risk Factors for Obesity and Diabetes in Youth (PRODY) study (2017-2019), the authors analyzed 193,997 children aged 3 to 18 years from 11 provinces, autonomous regions, and municipalities that are geographically representative of China. All participants underwent physical examinations, and their caregivers completed questionnaires including dietary, lifestyle, familial, and perinatal information of participants. A multilevel multinomial logistic regression model was used to evaluate the potential risk factors. RESULTS Among the actionable risk factors that were measured, higher consumption frequencies of animal offal (odds ratios [OR] for an additional time/day = 0.91, 95% CI: 0.88-0.95, same unit for OR below unless specified otherwise), dairy products (0.91, 95% CI: 0.88-0.94), freshwater products (0.94, 95% CI: 0.91-0.96), staple foods (0.94, 95% CI: 0.92-0.96), and coarse food grain (OR for every day vs. rarely = 0.92, 95% CI: 0.86-0.98) were associated with lower relative risk of obesity. However, higher restaurant-eating frequency (OR for >4 times/month vs. rarely = 1.21, 95% CI: 1.15-1.29) and longer screen-viewing duration (OR for >2 hours vs. <30 minutes = 1.16, 95% CI: 1.10-1.22) were associated with higher relative risk of obesity. Increased exercise frequency was associated with the lowest relative risk of obesity (OR for every day vs. rarely = 0.72, 95% CI: 0.68-0.77). CONCLUSIONS Changes in lifestyle and diet of Chinese children may help relieve their obesity burden.
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Affiliation(s)
- JingNan Chen
- Department of Endocrinology, The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Lu Jin
- Department of Endocrinology, The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - FengLei Wang
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Ke Huang
- Department of Endocrinology, The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Wei Wu
- Department of Endocrinology, The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - RuiMin Chen
- Department of Endocrinology, Genetics and MetabolismFuzhou Children's HospitalFuzhouChina
| | - Mireguli Maimaiti
- Department of Endocrinology, Genetics and MetabolismThe First Affiliated Hospital of Xinjiang Medical UniversityUrumqiChina
| | - ShaoKe Chen
- Department of PediatricsNanning Women and Children's HospitalNanningChina
| | - BingYan Cao
- Department of Endocrinology, Beijing Children's HospitalCapital Medical UniversityBeijingChina
| | - Min Zhu
- Department of EndocrinologyThe Children's Hospital of Chongqing Medical UniversityChongqingChina
| | - ChunLin Wang
- Department of Pediatrics, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Zhe Su
- Department of EndocrinologyShenzhen Children's HospitalShenzhenChina
| | - Yan Liang
- Department of PediatricsTongji Medical College of Huazhong University of Science and TechnologyWuhanChina
| | - Hui Yao
- Department of EndocrinologyWuhan Women and Children's Health Care CenterWuhanChina
| | - HaiYan Wei
- Department of Endocrinology, Genetics and MetabolismZhengzhou Children's HospitalZhengzhouChina
| | - RongXiu Zheng
- Department of PediatricsTianjin Medical University General HospitalTianjinChina
| | - HongWei Du
- Department of PediatricsThe First Bethune Hospital of Jilin UniversityJilinChina
| | - FeiHong Luo
- Department of Endocrinology, Genetics and MetabolismChildren's Hospital of Fudan UniversityShanghaiChina
| | - Pin Li
- Department of EndocrinologyChildren's Hospital of ShanghaiShanghaiChina
| | - YunXian Yu
- School of Public HealthZhejiang UniversityHangzhouChina
| | - Ergang Wang
- Department of Biomedical EngineeringDuke UniversityDurhamNorth CarolinaUSA
| | - Robert M. Dorazio
- Department of Endocrinology, The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Junfen Fu
- Department of Endocrinology, The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
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An SL, Xiong SM, Shen XB, Ni YQ, Chen W, He CD, Zhou YZ. The associations between exposure to trihalomethanes during pregnancy and adverse birth outcomes: A systematic review and meta-analysis. CHEMOSPHERE 2022; 293:133524. [PMID: 34990723 DOI: 10.1016/j.chemosphere.2022.133524] [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: 09/09/2021] [Revised: 12/14/2021] [Accepted: 01/02/2022] [Indexed: 06/14/2023]
Abstract
The study aimed to examine the associations between the level of trihalomethanes and its metabolites in pregnancy and the risks of adverse birth outcomes. We searched the databases of the China National Knowledge Infrastructure, WanFang, Vip, PubMed, and Elsevier Science Direct from database establishment to July 14, 2021 and performed a systematic review and meta-analysis of observational studies reporting associations between trihalomethanes level and abnormally low birth weight and preterm birth. The pooled odds ratio (OR), pooled risk ratio, and pooled risk difference with their 95% confidence interval (CI) were calculated for risk estimates. A total of 24 studies involving 1,118,037 pregnant women were finally enrolled in the present systematic review and meta-analysis. Our research found that abnormally low birth weight was associated with higher levels of total trihalomethanes (OR = 2.45, 95% CI: 1.28, 4.68; P = 0.007). Unexpectedly, the meta-analysis indicated that higher total trihalomethanes level was associated with lower odds of preterm birth (OR = 0.90, 95% CI: 0.81, 0.99; P = 0.03). Our findings indicate that trihalomethanes exposure might be a risk factor for abnormally low birth weight and that it would be prudent to minimize exposure to trihalomethanes during pregnancy because of the risk of abnormally low birth weight. Given some limitations of the systematic review and meta-analysis, our results should be interpreted with caution.
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Affiliation(s)
- Song-Lin An
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563060, PR China
| | - Shi-Min Xiong
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563060, PR China
| | - Xu-Bo Shen
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563060, PR China
| | - Yun-Qiao Ni
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563060, PR China
| | - Wei Chen
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563060, PR China
| | - Cai-Die He
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563060, PR China
| | - Yuan-Zhong Zhou
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563060, PR China.
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10
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Perna-Barrull D, Murillo M, Real N, Gomez-Muñoz L, Rodriguez-Fernandez S, Bel J, Puig-Domingo M, Vives-Pi M. Prenatal Betamethasone Exposure and its Impact on Pediatric Type 1 Diabetes Mellitus: A Preliminary Study in a Spanish Cohort. J Diabetes Res 2022; 2022:6598600. [PMID: 35308094 PMCID: PMC8930272 DOI: 10.1155/2022/6598600] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/24/2022] [Accepted: 02/18/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Betamethasone, a glucocorticoid used to induce lung maturation when there is a risk of preterm delivery, can affect the immune system maturation and type 1 diabetes (T1D) incidence in the progeny. It has been described that prenatal betamethasone protects offspring from experimental T1D development. The main aim of this study was to evaluate the possible association between betamethasone prenatal exposure and T1D in humans. Research Design and Methods. A retrospective case-control study with a total of 945 children, including 471 patients with T1D and 474 healthy siblings, was performed. Participants were volunteers from the Germans Trias i Pujol Hospital and DiabetesCero Foundation. Parents of children enrolled in the study completed a questionnaire that included questions about weeks of gestation, preterm delivery risk, weight at birth, and prenatal betamethasone exposure of their children. Multiple logistic regression was used to detect the association between betamethasone exposure and T1D. RESULTS We compared T1D prevalence between subjects prenatally exposed or unexposed to betamethasone. The percent of children with T1D in the exposed group was 37.5% (21 of 56), and in the unexposed group was 49.52% (410 of 828) (p = 0.139). The percentage of betamethasone-treated subjects with T1D in the preterm group (18.05%, 13 of 72) was significantly higher than that found in the control group (12.5%, 9 of 72) (p = 0.003). The odds ratio for T1D associated with betamethasone in the univariate logistic regression was 0.59 (95% confidence interval, 0.33; 1.03 [p = 0.062]) and in the multivariate logistic regression was 0.83 (95% confidence interval, 0.45; 1.52 [p = 0.389]). CONCLUSIONS The results demonstrate that the prenatal exposure to betamethasone does not increase T1D susceptibility, and may even be associated with a trend towards decreased risk of developing the disease. These preliminary findings require further prospective studies with clinical data to confirm betamethasone exposure effect on T1D risk.
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Affiliation(s)
- David Perna-Barrull
- Immunology Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
| | - Marta Murillo
- Pediatrics Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
| | - Nati Real
- Pediatrics Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
| | - Laia Gomez-Muñoz
- Immunology Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
| | - Silvia Rodriguez-Fernandez
- Immunology Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
| | - Joan Bel
- Pediatrics Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
| | - Manel Puig-Domingo
- Endocrinology Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
| | - Marta Vives-Pi
- Immunology Service Germans Trias i Pujol Research Institute and University Hospital, Autonomous University of Barcelona, 08916 Badalona, Spain
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11
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Zhang L, Chen J, Zhang J, Wu W, Huang K, Chen R, Maimaiti M, Chen S, Cao B, Zhu M, Wang C, Su Z, Liang Y, Yao H, Wei H, Zheng R, Du H, Luo F, Li P, Mo M, Yu Y, Wang E, Dorazio RM, Fu J. Regional Disparities in Obesity Among a Heterogeneous Population of Chinese Children and Adolescents. JAMA Netw Open 2021; 4:e2131040. [PMID: 34698846 PMCID: PMC8548942 DOI: 10.1001/jamanetworkopen.2021.31040] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Obesity is a public health challenge in China, but the geographical profiles of overweight and obesity among Chinese children are limited. OBJECTIVE To examine regional disparities in the prevalence of obesity among the heterogeneous population of Chinese children and adolescents to provide a more accurate profile of obesity among children in China. DESIGN, SETTING, AND PARTICIPANTS The Prevalence and Risk Factors for Obesity and Diabetes in Youth (PRODY) study was a cross-sectional survey study conducted from January 1, 2017, to December 31, 2019, among 201 098 children aged 3 to 18 years from 11 provinces, autonomous regions, and municipalities that produced a sample of Chinese children with a full range of ages and wide geographical coverage using a multistage, stratified, cluster-sampling design. EXPOSURES Five regions geographically representative of China (northern, eastern, southern, western, and central). MAIN OUTCOMES AND MEASURES The body weights and heights of all participants were measured. Multilevel, multinomial logistic regression models were used to estimate the prevalence of overweight and obesity. RESULTS Among 201 098 healthy children (105 875 boys [52.6%]; mean [SD] age, 9.8 [3.8] years) from eastern, southern, northern, central, and western China, the highest obesity prevalence was estimated for children aged 8 to 13 years in northern China (from 18.8% [95% CI, 16.2%-21.7%] to 23.6% [95% CI, 20.5%-26.9%]) and for boys aged 3 to 6 years in western China (from 18.1% [95% CI, 10.4%-29.4%] to 28.6% [95% CI, 14.3%-49.0%]). Boys had a higher prevalence than girls of obesity only in eastern and northern China, with a mean difference in prevalence of 4.6% (95% CI, 3.8%-5.4%) and 7.6% (95% CI, 6.5%-8.6%), respectively. CONCLUSIONS AND RELEVANCE In this survey study, substantial geographic disparities in the prevalence of obesity and overweight were found among the heterogeneous population of Chinese children. The results suggest that special attention should be paid to vulnerable children and that regionally adapted interventions are needed to efficiently mitigate obesity in children.
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Affiliation(s)
- Li Zhang
- Department of Endocrinology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - JingNan Chen
- National Clinical Research Center for Child Health, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - JianWei Zhang
- Department of Endocrinology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Pediatrics, Shaoxing Maternity and Child Health Care Hospital, Shaoxing, China
| | - Wei Wu
- Department of Endocrinology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ke Huang
- Department of Endocrinology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - RuiMin Chen
- Department of Endocrinology, Genetics and Metabolism, Fuzhou Children’s Hospital, Fujian Province, China
| | - Mireguli Maimaiti
- Department of Pediatrics, the First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - ShaoKe Chen
- Department of Pediatrics, Nanning Women and Children’s Hospital, Nanning, China
| | - BingYan Cao
- Department of Endocrinology, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Min Zhu
- Department of Endocrinology, The Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - ChunLin Wang
- Department of Pediatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhe Su
- Department of Endocrinology, Shenzhen Children’s Hospital, Guangdong Province, China
| | - Yan Liang
- Department of Pediatrics, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Hui Yao
- Department of Endocrinology, Wuhan Women and Children’s Health Care Center, Wuhan, China
| | - HaiYan Wei
- Department of Endocrinology, Genetics and Metabolism, Zhengzhou Children’s Hospital, Zhengzhou, China
| | - RongXiu Zheng
- Department of Pediatrics, Tianjin Medical University General Hospital, Heping, China
| | - HongWei Du
- Department of Pediatrics, The First Bethune Hospital of Jilin University, Jilin, China
| | - FeiHong Luo
- Department of Endocrinology, Genetics and Metabolism, Children’s Hospital of Fudan University, Shanghai, China
| | - Pin Li
- Department of Endocrinology, Children’s Hospital of Shanghai, Shanghai, China
| | - MinJia Mo
- School of Public Health, Zhejiang University, Hangzhou, China
| | - YunXian Yu
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Ergang Wang
- Center for Genomics and Computational Biology, Department of Biomedical Engineering, Duke University, Durham, North Carolina
| | - Robert M. Dorazio
- National Clinical Research Center for Child Health, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Junfen Fu
- Department of Endocrinology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
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