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Barnhart WR, Cui S, Xu Y, Cui T, Tan C, Zhao Y, Yin J, He J. Self-objectification in Chinese pregnant women: The mixed role of functionality appreciation. Body Image 2024; 49:101698. [PMID: 38489965 DOI: 10.1016/j.bodyim.2024.101698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/22/2024] [Accepted: 02/27/2024] [Indexed: 03/17/2024]
Abstract
Extensions of objectification theory to pregnant women are few and continued research is needed to better understand the psychological consequences of significant changes to physical appearance during pregnancy. Specific interests in this area include functionality appreciation which may be particularly relevant to pregnancy. Research in this area is also lacking representation of non-Western cultural contexts. To this end, we employed an online survey to assess objectification theory and functionality appreciation in Chinese pregnant women (N = 345). Correlations showed that higher body surveillance and body shame were associated with higher disordered eating and psychological distress, and higher functionality appreciation was associated with lower body surveillance, body shame, and disordered eating. Mediation analyses suggested that higher body surveillance was associated with higher body shame which, in turn, was associated with higher disordered eating and psychological distress. Main effects suggested a negative association between functionality appreciation and body shame, but moderation analyses suggested that higher functionality appreciation strengthened the positive association between body surveillance and body shame. Findings underscore objectification theory as a useful framework to understand eating and body image disturbances and psychological distress in Chinese pregnant women and outline future directions to clarify the temporal nature of these associations and the precise role of functionality appreciation.
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Affiliation(s)
- Wesley R Barnhart
- Department of Psychology, Bowling Green State University, Bowling Green, OH, USA
| | - Shuqi Cui
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Yinuo Xu
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Tianxiang Cui
- Department of Psychology, University of Macau, Macau, China
| | - Chuyi Tan
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Yumeng Zhao
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Junyu Yin
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Jinbo He
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
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Zhu X, Zhou Y, Wen Z, Ye W, Gao L, Xu Y. Association between Dietary Inflammatory Index and Bone Mineral Density Changes among Pregnant Women: A Prospective Study in China. Nutrients 2024; 16:455. [PMID: 38337739 PMCID: PMC10857122 DOI: 10.3390/nu16030455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 02/12/2024] Open
Abstract
OBJECTIVES This study aims to examine the relationship between dietary inflammatory index (DII) and bone mineral density (BMD) changes among Chinese pregnant women, offering valuable insights for dietary guidance during pregnancy. METHODS 289 pregnant women were enrolled in this cohort. Serum inflammatory factors and ultrasonic BMD were measured at the first, second, and the third trimesters. DII scores were calculated based on a semi-quantitative food frequency questionnaire (FFQ) and divided into tertiles. We compared the differences in inflammatory factors in serum across the tertiles of DII and changes in BMD at the second and third trimesters across the tertiles. RESULTS The participants with higher DII scores had higher total energy intakes than those with lower DII scores. The serum level of interleukin-6 (IL-6) was significantly different across the tertiles of the DII. Women who had lower DII scores had higher T-scores and Z-scores in the BMD assessment. In the test of trends, after adjusting potential covariates, including educational level, physical activity, body mass index, and calcium, vitamin D, or multivitamin supplements, DII values were determined to be positively related to the maternal BMD lost. CONCLUSIONS DII was positively associated with serum IL-6. Meanwhile, higher DII scores were associated with more bone mass loss in pregnant women. We recommend adhering to a lower-DII diet to preserve BMD during pregnancy.
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Affiliation(s)
- Xiaoyu Zhu
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, No. 38 Xueyuan 7 Road, Beijing 100191, China; (X.Z.); (Y.Z.); (Z.W.); (W.Y.)
- Beifang Branch of Peking University Third Hospital, Chedaogou No. 10, Beijing 100089, China;
| | - Yalin Zhou
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, No. 38 Xueyuan 7 Road, Beijing 100191, China; (X.Z.); (Y.Z.); (Z.W.); (W.Y.)
| | - Zhang Wen
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, No. 38 Xueyuan 7 Road, Beijing 100191, China; (X.Z.); (Y.Z.); (Z.W.); (W.Y.)
| | - Wanyun Ye
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, No. 38 Xueyuan 7 Road, Beijing 100191, China; (X.Z.); (Y.Z.); (Z.W.); (W.Y.)
| | - Lan Gao
- Beifang Branch of Peking University Third Hospital, Chedaogou No. 10, Beijing 100089, China;
| | - Yajun Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, No. 38 Xueyuan 7 Road, Beijing 100191, China; (X.Z.); (Y.Z.); (Z.W.); (W.Y.)
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Ding Y, Li G, Zhang M, Shao Y, Wu J, Wang Z. Development and validation of a novel food exchange system for Chinese pregnant women. Nutr J 2023; 22:65. [PMID: 38037031 PMCID: PMC10690967 DOI: 10.1186/s12937-023-00902-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 11/28/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND The dietary nutritional status of pregnant women is critical for maintaining the health of both mothers and infants. Food exchange systems have been employed in the nutritional guidance of patients in China, although their application in the dietary guidance of healthy pregnant women is quite limited. This study aimed to develop a novel food exchange system for Chinese pregnant women (NFES-CPW) and evaluate the relative validation of its application. METHODS NFES-CPW covers approximately 500 types of food from ten categories and has more elaborate food portion sizes. It established a recommendation index for guiding food selection and used energy, water content, and protein as the exchange basis to balance the supply of energy and important nutrients throughout pregnancy. Furthermore, dietitians used the NFES-CPW and traditional food exchange system to generate new recipes based on the sample recipe. There were 40 derived recipes for each of the two food exchange methods. The food consumption, energy, and key nutrients of each recipe were calculated, and the differences between the two food exchange systems were compared using the Wilcoxon rank sum test or the Chi-square test. RESULTS The results revealed that compared to those derived from traditional food exchange system, the NFES-CPW derived recipes had a better dietary structure, as evidenced by the intakes of whole-grain cereals, beans excluding soybeans, potatoes, fruits, fish, shrimp and shellfish, as well as eggs (P < 0.05), which were more conducive to reaching the recommended range of balanced dietary pagoda. After calculating energy and nutrients, although these two food exchange systems have similar effects on the dietary energy and macronutrient intake of pregnant women, the intake of micronutrients in NFES-CPW derived recipes was significantly higher than that from the traditional food exchange system, which was more conducive to meeting the dietary requirements of pregnant women. The outstanding improvement are primarily vitamin A, vitamin B2, folic acid, vitamin B12, vitamin C, calcium, iron, and iodine (P < 0.05). Moreover, when compared to recipes obtained from the traditional food exchange system, the error ranges of energy and most nutrients were significantly reduced after employing the NFES-CPW. CONCLUSIONS Therefore, NFES-CPW is an appropriate tool that adheres to Chinese dietary characteristics and can provide suitable dietary guidance to pregnant women.
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Affiliation(s)
- Ye Ding
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Genyuan Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Man Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
| | - Yingying Shao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jieshu Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhixu Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
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Luo X, Shan D, Zhang L, Wu Y, Li T, Ren Y, Hu Y. Incidence of maternal venous thromboembolism in China: A systematic review and meta-analysis. Int J Gynaecol Obstet 2023; 163:75-88. [PMID: 37069776 DOI: 10.1002/ijgo.14776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/12/2023] [Accepted: 03/20/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND Venous thromboembolism (VTE) is one of the primary causes of maternal death. Although many studies have reported maternal VTE, no study has estimated the incidence of it in China. OBJECTIVES The aim of this work was to estimate the incidence of maternal VTE in China and to compare the risk factors for it. SEARCH STRATEGY The authors searched eight platforms and databases including PubMed, Embase, and Cochrane Library from inception to April 2022, with the search terms "venous thromboembolism" AND "puerperium (pregnancy)" AND "incidence" AND "China." SELECTION CRITERIA Studies provide data to calculate the incidence of maternal VTE among Chinese patients. DATA COLLECTION AND ANALYSIS The authors made a standardized table to collect data and calculated the incidence and 95% confidence intervals (CIs), founding source of heterogeneity by subgroup analysis and meta-regression and judging publication bias by funnel plot and Egger test. MAIN RESULTS The included 53 papers with a total sample size of 3 813 871 patients had 2539 cases of VTE, and the incidence of maternal VTE in China was 0.13% (95% CI, 0.11-0.16; P < 0.001). CONCLUSIONS The trend in the incidence of maternal VTE in China is stable. Cesarean section and advanced age are associated with a higher incidence of VTE.
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Affiliation(s)
- Xingrong Luo
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of the Ministry of Education of Birth Defects and Related Maternal and Child Diseases, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Dan Shan
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of the Ministry of Education of Birth Defects and Related Maternal and Child Diseases, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Zhang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of the Ministry of Education of Birth Defects and Related Maternal and Child Diseases, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuxia Wu
- Key Laboratory of the Ministry of Education of Birth Defects and Related Maternal and Child Diseases, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tao Li
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of the Ministry of Education of Birth Defects and Related Maternal and Child Diseases, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yu Ren
- Department of Obstetrics and Gynecology, Zigong Hospital of Woman and Children Healthcare, Zigong, Sichuan, China
| | - Yayi Hu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of the Ministry of Education of Birth Defects and Related Maternal and Child Diseases, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
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Ma J, Cheng D, Zhang Z, Cai B, Xu X. Evaluating the accuracy of sonographic fetal weight estimations using the Hadlock IV formula in a Chinese population. Quant Imaging Med Surg 2023; 13:3726-3734. [PMID: 37284125 PMCID: PMC10240036 DOI: 10.21037/qims-22-778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 03/28/2023] [Indexed: 06/08/2023]
Abstract
Background Despite being the most generalized formula in China, the Hadlock IV formula has never been examined to determine if it is suitable for Chinese newborns, nor have the factors that might affect its performance been investigated. However, previous studies have reported varying results about other formulas in other nationalities. This study sought to evaluate the performance of the Hadlock IV formula in estimating fetal weight (FW) in pregnant Chinese women and use ultrasound to identify the factors affecting the accuracy of estimations of newborn weight; through these means, we aimed to create a reference for predicting neonatal weight for obstetricians. Methods A retrospective observational study comprising data from 976 cases of live-birth singleton pregnancies at the Shanghai General Hospital was conducted. The participants' clinical data were examined and subjected to a logistic regression analysis to identify the multitude of possible factors affecting the estimation of FW. The proportions and correlations between the accurate and inaccurate estimation groups were compared to determine the different prognosis of these 2 groups. The correlations between the accuracy of the sonographic-based fetal weight estimation (SFWE) and newborns with different weight ranges were also analyzed. Results The overall accuracy rate of the SFWE predicted by the Hadlock IV formula was 79.61%, while that of the inaccurate estimation group was only 20.39%. The incidence of spontaneous vaginal delivery (VD) was lower in the inaccurate estimation group than in the accurate estimation group (40.7% vs. 48.13%; P=0.041). In the inaccurate estimation group, 11.56% (23/199) of the participants underwent a secondary cesarean section (sCS), compared to only 6.44% (50/777) in the accurate estimation group. The low birth weight (LBW) rates and macrosomia rates were lower in the accurate estimation group than in the inaccurate estimation group, with odds ratios (ORs) of 0.483 and 0.459, respectively (P<0.05). The results indicated that the SFWE was more accurate for newborns weighing 2,500-4,000 g than those weight out of this range. In relation to macrosomia, the SFWE was likely to be underestimated, but it was usually overestimated in the LBW group. Conclusions The overall performance of the Hadlock IV formula in predicting the birth weight of Chinese newborns remains suboptimal. Extra caution should be exercised in cases of suspected large-for-gestational age (LGA) infants, small-for-gestational age (SGA) infants, infants with macrosomia, or LBW fetuses in the Chinese population.
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Affiliation(s)
- Jie Ma
- Department of Gynecology and Obstetrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, South Hospital of Shanghai General Hospital, Shanghai, China
| | - Decui Cheng
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhifang Zhang
- Department of Gynecology and Obstetrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, South Hospital of Shanghai General Hospital, Shanghai, China
| | - Bin Cai
- Department of Gynecology and Obstetrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, South Hospital of Shanghai General Hospital, Shanghai, China
| | - Xianming Xu
- Department of Gynecology and Obstetrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, South Hospital of Shanghai General Hospital, Shanghai, China
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Ouyang J, Lai Y, Wu L, Wang Y, Wu P, Ye YX, Yang X, Gao Y, Yuan J, Song X, Yan S, Lv C, Wang YX, Liu G, Hu Y, Pan A, Pan XF. Association between prepregnancy weight change and risk of gestational diabetes mellitus in Chinese pregnant women. Am J Clin Nutr 2023:S0002-9165(23)46845-1. [PMID: 37062367 DOI: 10.1016/j.ajcnut.2023.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 03/28/2023] [Accepted: 04/13/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND Evidence regarding prepregnancy weight change and gestational diabetes mellitus (GDM) is lacking among East Asian women. OBJECTIVE Our study aimed to investigate the association between weight change from age 18 years to pregnancy and GDM in Chinese pregnant women. METHODS Our analyses included 6972 pregnant women from the Tongji-Shuangliu Birth Cohort. Body weights were recalled for age 18 years and the time point immediately before pregnancy, while height was measured during early pregnancy. Prepregnancy weight change was calculated as the difference between weight immediately before pregnancy and weight at age 18 years. GDM outcomes were ascertained by 75-g oral glucose tolerance test. Multivariable logistic regression models were used to estimate the association between prepregnancy weight change and risk of GDM. RESULTS 501 (7.2%) developed GDM in the cohort. After multivariable adjustments, prepregnancy weight change was linearly associated with a higher risk of incident GDM (P < 0.001). Compared with participants with stable weight (weight change within 5.0 kg) before pregnancy, multivariable-adjusted odds ratios and 95% confidence intervals were 1.55 (1.22, 1.98) and 2.24 (1.78, 2.83) for participants with moderate (weight gain of 5-9.9 kg) and high (weight gain ≥ 10 kg) weight gain, respectively. In addition, overweight/obesity immediately before pregnancy mediated 17.6% and 31.7% of the associations of moderate and high weight gain with GDM risk, while weekly weight gain during pregnancy mediated 21.1% and 22.7% of the associations. CONCLUSIONS Weight gain from age 18 years to pregnancy was significantly associated with a higher risk of GDM. Maintaining weight stability, especially prevention of excessive weight gain from early adulthood to pregnancy could be a potential strategy to reduce GDM risk.
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Affiliation(s)
- Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yanyu Gao
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jiaying Yuan
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, China
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou 571199, China; Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou 571199, China
| | - Chuanzhu Lv
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou 571199, China; Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou 571199, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yayi Hu
- Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, China; Center for Epidemiology and Population Health, Integrated Traditional Chinese and Western Medicine Institute & Chengdu Integrated Traditional Chinese and Western Medicine Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu 610041, China.
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Xu T, Jiang Y, Guo X, Campbell JA, Ahmad H, Xia Q, Lai X, Yan D, Ma L, Fang H, Palmer AJ. Maternal choices and preferences for screening strategies of gestational diabetes mellitus: A exploratory study using discrete choice experiment. Front Public Health 2022; 10:864482. [PMID: 36388335 PMCID: PMC9664193 DOI: 10.3389/fpubh.2022.864482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 10/17/2022] [Indexed: 01/21/2023] Open
Abstract
Aims This study aimed to investigate maternal preferences for gestational diabetes mellitus (GDM) screening options in rural China to identify an optimal GDM screening strategy. Methods Pregnant women at 24-28 gestational weeks were recruited from Shandong province, China. A discrete choice experiment (DCE) was conducted to elicit pregnant women's preferences for GDM screening strategy defined by five attributes: number of blood draws, out-of-pocket costs, screening waiting-time, number of hospital visits, and positive diagnosis rate. A mixed logistic model was employed to quantify maternal preferences, and to estimate the relative importance of included attributes in determining pregnant women's preferences for two routinely applied screening strategies ("one-step": 75 g oral glucose tolerance test [OGTT] and "two-step": 50 g glucose challenge-test plus 75 g OGTT). Preference heterogeneity was also investigated. Results N = 287 participants completed the DCE survey. All five predefined attributes were associated with pregnant women's preferences. Diagnostic rate was the most influential attribute (17.5 vs. 8.0%, OR: 2.89; 95%CI: 2.10 to 3.96). When changes of the attributes of "two-step" to "one-step" strategies, women's uptake probability from full "two-step" to "one-step" significantly increased with 71.3% (95%CI: 52.2 to 90.1%), but no significant difference with the first step of "two-step" (-31.0%, 95%CI: -70.2 to 8.1%). Conclusion Chinese pregnant women preferred the "one-step" screening strategy to the full "two-step" strategy, but were indifferent between "one-step" and the first step of "two-step" strategies.
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Affiliation(s)
- Tingting Xu
- Department of Health Management and Policy, School of Public Health, Capital Medical University, Beijing, China,China Center for Health Development Studies, Peking University, Beijing, China
| | - Yan Jiang
- Obstetrics and Gynecology, Dong E Hospital, Liaocheng, China
| | - Xiuyan Guo
- Obstetrics and Gynecology, Dong E Hospital, Liaocheng, China
| | - Julie A. Campbell
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Hasnat Ahmad
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Qing Xia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Xiaozhen Lai
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Di Yan
- Department of Public Health Sciences, University of Rochester Medical Center, New York, NY, United States
| | - Liangkun Ma
- Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
| | - Hai Fang
- China Center for Health Development Studies, Peking University, Beijing, China,*Correspondence: Hai Fang
| | - Andrew J. Palmer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
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Zhu YS, Yang JQ, Wang N, Deng ZQ, Qing Y, Wu M, Cai H, Liu H, He GS. Estimation of the bio-accessibility of methylmercury from aquatic foods using a PBTK model with an approximate Bayesian computation method in Chinese pregnant women. Food Chem Toxicol 2022; 168:113372. [PMID: 35985365 DOI: 10.1016/j.fct.2022.113372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/12/2022] [Accepted: 08/11/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND Fish are the primary source of protein and docosahexaenoic acid (DHA) for pregnant women and children, but methylmercury (MeHg) pollution is the potential hazard of fish consumption. In risk assessments, the bio-accessibility of MeHg is usually assumed to be 100%, which could lead to overestimation of dietary exposure. METHOD An existing PBTK model was adapted to estimate parameters of the bio-accessibility based on MeHg exposure data from a cohort of 397 Chinese pregnant women. The posterior distributions of parameters were determined by using the ABC - MCMC. RMSEP and Spearman's rank correlation coefficients (Rho) were calculated to determine the goodness of model fitting. The Monte Carlo analysis was performed for the parameter distributions to estimate the model variability. RESULT The median of daily MeHg intake and maternal MeHg levels were 0.018 μg/kg bw and 3.01 μg/kg in the early and middle terms of pregnancy. The estimated bio-accessibility of freshwater fish, marine fish and others were 46.1, 17.3 and 58.2%, separately. The RMSEP improved from 11.18 to 2.54 and the Rho improved from 0.19 to 0.22 after bio-accessibility optimization. The model variability was estimated to be 2.6. CONCLUSION The bio-accessibility estimated in this study was comparable to that determined in previous in vitro studies. The optimized model could improve the prediction performance on the MeHg body burden by dietary exposure.
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Affiliation(s)
- Yuan-Shen Zhu
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Jia-Qi Yang
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Na Wang
- Nursing Department, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200090, China
| | - Ze-Qun Deng
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Ying Qing
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, China
| | - Min Wu
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Hua Cai
- Shanghai Center for Disease Control and Prevention, Shanghai, 200336, China
| | - Hong Liu
- Shanghai Center for Disease Control and Prevention, Shanghai, 200336, China
| | - Geng-Sheng He
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China.
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9
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Zhang X, Zhai Q, Wang J, Ma X, Xing B, Fan H, Gao Z, Zhao F, Liu W. Variation of the Vaginal Microbiome During and After Pregnancy in Chinese Women. Genomics Proteomics Bioinformatics 2022; 20:322-333. [PMID: 35093602 PMCID: PMC9684158 DOI: 10.1016/j.gpb.2021.08.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 07/26/2021] [Accepted: 09/27/2021] [Indexed: 02/08/2023]
Abstract
A comprehensive profiling of the vaginal microbial communities and their variability enables an accurate description of the microbiome in women. However, there is a lack of studies available on Chinese women. In the present study, the composition of the vaginal microbiota during pregnancy and the 6-week postpartum period of 454 Chinese women was characterized by sequencing the V3-V4 region of the 16S ribosomal RNA (rRNA) gene. The vaginal microbiome showed variations during pregnancy and the postpartum period based on the abortion history, hypertensive disorders, delivery mode, and maternal age. Co-variation of 22 bacterial taxa, including the Lactobacillus genus and two of its species, may account for the common characteristics of the vaginal microbiome under scenarios of different medical histories and pregnancy outcomes. In contrast, discriminant bacterial species were significantly different between women who had preterm birth (PTB) with and without premature rupture of membranes (PROM), and the community state type (CST) IV-A without any predominant Lactobacillus species in the microbiota was more prevalent during pregnancy in the PROM-PTB cases, suggesting that specific bacterial species could be considered to distinguish between different types of PTB. By providing data on Chinese women, this study will enrich the knowledge of the human microbiome and contribute to a better understanding of the association between the vaginal microbiome and reproductive health.
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Affiliation(s)
- Xiaoai Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Qingzhi Zhai
- Department of Obstetrics and Gynecology, First Medical Center, The General Hospital of the People’s Liberation Army, Beijing 100853, China
| | - Jinfeng Wang
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiuling Ma
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Bo Xing
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Hang Fan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Zhiying Gao
- Department of Obstetrics and Gynecology, First Medical Center, The General Hospital of the People’s Liberation Army, Beijing 100853, China
| | - Fangqing Zhao
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China,Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China,University of Chinese Academy of Sciences, Beijing 100049, China,Corresponding authors.
| | - Wei Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,Beijing Key Laboratory of Vector Borne and Natural Focus Infectious Disease, Beijing 100071, China,Corresponding authors.
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Ding Y, Lu X, Xie Z, Jiang T, Song C, Wang Z. Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China. Nutrients 2021; 13:3158. [PMID: 34579035 DOI: 10.3390/nu13093158] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 09/06/2021] [Accepted: 09/08/2021] [Indexed: 12/12/2022] Open
Abstract
As an important part of antenatal care for pregnant women in China, dietary assessment plays a positive role in maternal and fetal health. Shortcomings in the associated methodologies require improvement. Our purpose was to develop a novel WeChat Applet for image-based dietary assessment (WAIDA) and evaluate its relative validity among pregnant women in China. Data on 251 lunch meals of pregnant women in their second trimester were analyzed. The differences in food weight, energy, and nutrient estimates by the dietary recall or WAIDA method with the weighing method were compared using paired t-tests. Pearson correlation coefficients were used to analyze the correlation between food weight, energy, and nutrient intake obtained from the recall or WAIDA method and those obtained from the weighing method. The Bland–Altman analysis was used to examine the agreement between the recall or WAIDA method and the weighing method for energy and nutrients. Compared with the weighing method, the variation range of food weight, energy and nutrients estimated by the WAIDA method was smaller and more stable than that estimated by the recall method. Compared with the recall method, the correlations suggested a better relationship between the energy and nutrient intakes from the weighing method and those estimated by the WAIDA method (0.752–0.970 vs. 0.480–0.887), which were similar to those of food weight (0.332–0.973 vs. −0.019–0.794). The Bland-Altman analysis showed that the mean differences of the energy and nutrients estimated from the recall method were further away from zero relative to the weighing method compared to the WAIDA method and with numerically wider 95% confidence intervals. The spans between the upper and lower 95% limit of agreement (LOAs) of the energy and nutrients obtained by the WAIDA method were narrower than those obtained by the recall method, and the majority of the data points obtained by the WAIDA method lay between the LOAs, closer to the middle horizontal line. Compared with the recall method, the WAIDA method is consistent with the weighing method, close to the real value of dietary data, and expected to be suitable for dietary assessment in antenatal care.
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11
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Wu Y, Ma S, Wang Y, Chen F, Zhu F, Sun W, Shen W, Zhang J, Chen H. A risk prediction model of gestational diabetes mellitus before 16 gestational weeks in Chinese pregnant women. Diabetes Res Clin Pract 2021; 179:109001. [PMID: 34390760 DOI: 10.1016/j.diabres.2021.109001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/31/2021] [Accepted: 08/06/2021] [Indexed: 01/21/2023]
Abstract
AIMS To develop a GDM risk stratification model in Chinese pregnant women using machine learning algorithm, for judgment of the risk of GDM before 16 gestation weeks. METHODS A retrospective study of 17005 pregnant women with 1965 women developed GDM. Maternal clinical routine examination indicators, disease history and other clinical characteristics of pregnant women were obtained before 16 gestation weeks. Maternal clinical parameters were analyzed, selected and divided into 6 groups. The prediction models were constructed using LR (logistic regression) and RF (random forest), and were evaluated using areas under the receiver-operating characteristic curve (AUC). The cut-off value of the predicted probability of GDM was calculated by interquartile range. The performance of models was internal validated. RESULTS We developed a GDM risk stratification prediction model in Chinese pregnant women before 16 gestation weeks, with the AUC 0.746 and 15 parameters included. The model presented reliable ability to predictively stratify GDM risk of population. And the ≥ 7.77% predicted risk cut-off showed a strong ability to rule out GDM in women who predicted negative before 16 gestational weeks. CONCLUSIONS Our study provide a simple and effective screening method for clinical GDM risk stratification in Chinese pregnant women before 16 gestation weeks.
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Affiliation(s)
- Yingting Wu
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Siyu Ma
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Yin Wang
- Department of Information, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Fangfang Chen
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Feilong Zhu
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Wenqin Sun
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Weiwei Shen
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Jun Zhang
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Huifen Chen
- Department of Laboratory Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
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12
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Sun Y, Shen Z, Zhan Y, Wang Y, Ma S, Zhang S, Liu J, Wu S, Feng Y, Chen Y, Cai S, Shi Y, Ma L, Jiang Y. Investigation of optimal gestational weight gain based on the occurrence of adverse pregnancy outcomes for Chinese women: a prospective cohort study. Reprod Biol Endocrinol 2021; 19:130. [PMID: 34461936 PMCID: PMC8404327 DOI: 10.1186/s12958-021-00797-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/08/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To investigate recommendations for appropriate gestational weight gain (GWG) of Chinese females. METHODS In total of 3,172 eligible women in the first trimester were recruited into the Chinese Pregnant Women Cohort Study (CPWCS) project. Pregnancy complications and outcomes were collated using the hospital medical records system. The method of occurrence of participants with adverse pregnancy outcomes (Occurrence Method) was conducted to calculate the recommended total GWG for each participant's pre-pregnancy BMI. Occurrence Method data were judged against the Institute of Medicine (IOM) and Japanese recommended criteria in terms of the total occurrence of adverse pregnancy outcomes of pregnant women with appropriate weight gain. RESULTS The most frequent GWG was ≥ 14 kg and < 16 kg (19.4%), followed by ≥ 10 kg and < 12 kg (15.5%) and ≥ 12 kg and < 14 kg (15.2%). The most frequently occurring adverse pregnancy outcomes were cesarean sections for underweight (30.0%), normal weight (40.4%), overweight (53.6%) and obese (53.7%) women. A large for gestational age (LGA) accounted for 18.0% of the overweight and 20.9% of the obesity group. Gestational diabetes mellitus (GDM) occurred in 16.9% of overweight and 23.1% of obese women. The recommended total GWG in a Chinese women population is ≥ 8 and < 12 kg if underweight, ≥ 12 and < 14 kg for normal weight, ≥ 8.0 and < 10.0 kg if overweight, and < 8 kg for women with obesity. CONCLUSIONS Current Chinese recommendations provide the optimal ranges of GWG to minimize the occurrence of undesirable pregnancy outcomes for each group of pre-pregnancy BMIs in a Chinese population. TRIAL REGISTRATION Registered with ClinicalTrials ( NCT03403543 ).
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Affiliation(s)
- Yin Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijng, 100730, China
| | - Zhongzhou Shen
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yongle Zhan
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yawen Wang
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Shuai Ma
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Suhan Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijng, 100730, China
| | - Juntao Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijng, 100730, China
| | - Sansan Wu
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yahui Feng
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yunli Chen
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Shuya Cai
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yingjie Shi
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijng, 100730, China.
| | - Yu Jiang
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China.
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13
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Hu Y, Wang R, Mao D, Chen J, Li M, Li W, Yang Y, Zhao L, Zhang J, Piao J, Yang X, Yang L. Vitamin D Nutritional Status of Chinese Pregnant Women, Comparing the Chinese National Nutrition Surveillance (CNHS) 2015-2017 with CNHS 2010-2012. Nutrients 2021; 13:2237. [PMID: 34209755 PMCID: PMC8308426 DOI: 10.3390/nu13072237] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 06/25/2021] [Accepted: 06/25/2021] [Indexed: 12/11/2022] Open
Abstract
Optimal vitamin D (vitD) status is beneficial for both pregnant women and their newborns. The aim of this study was to evaluate the vitamin D status of Chinese pregnant women in the latest China Nutrition and Health Surveillance (CNHS) 2015-2017, analyze the risk factors of vitamin D deficiency (VDD), and compare them with those in CNHS 2010-2012. Serum 25 hydroxyvitamin D (25(OH)D) was measured by ELISA method. City type, district, latitude, location, age, vitamin D supplements intake, education, marital status, annual family income, etc., were recorded. The median 25(OH)D concentration was 13.02 (10.17-17.01) ng/mL in 2015-2017, and 15.48 (11.89-20.09) ng/mL in 2010-2012. The vitamin D sufficient rate was only 12.57% in 2015-2017, comparing to 25.17% in 2010-2012. The risk factors of vitamin D inadequacy (25(OH)D < 20 ng/mL) in 2015-2017 were not exactly consistent with that in 2010-2012. The risk factors included season of spring (p < 0.0001) and winter (p < 0.001), subtropical (p < 0.001), median (p < 0.0001) and warm temperate zones (p < 0.0001), the western (p = 0.027) and the central areas (p = 0.041), while vitD supplements intake (p = 0.021) was a protective factor in pregnant women. In conclusion, vitD inadequacy is very common among Chinese pregnant women. We encourage pregnant women to take more effective sunlight and proper vitD supplements, especially for those from the subtropical, warm and medium temperate zones, the western and the central, and in the seasons of spring and winter.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Lichen Yang
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, China CDC, Beijing 100050, China; (Y.H.); (R.W.); (D.M.); (J.C.); (M.L.); (W.L.); (Y.Y.); (L.Z.); (J.Z.); (J.P.); (X.Y.)
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Wang W, Long K, Deng F, Ye W, Zhang P, Chen X, Dong W, Zheng P, Zhang X, Yang T, Chen W, Yang K. Changes in levels of coagulation parameters in different trimesters among Chinese pregnant women. J Clin Lab Anal 2021; 35:e23724. [PMID: 33543804 PMCID: PMC8059730 DOI: 10.1002/jcla.23724] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 01/18/2021] [Accepted: 01/20/2021] [Indexed: 11/16/2022] Open
Abstract
Background This article is to explore changes in levels of coagulation parameters in different trimesters among healthy pregnant women in China. Methods A total of 760 eligible women were enrolled (first‐trimester group: n = 183, second‐trimester group: n = 183, third‐trimester group: n = 263, non‐pregnant group: n = 131). Seven parameters including prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), D‐dimer (DD), fibrinogen degradation products (FDP), and antithrombin III (ATIII), of all participants were collected. The non‐parametric 2.5th–97.5th percentiles reference intervals were calculated for each parameter. Results The reference intervals for FIB, PT, APTT, TT, FDP, DD, and ATIII at first trimester were 2.11–4.32 g/L, 10.90–13.85 s, 24.60–39.28 s, 12.95–15.88 s, 0.04–2.55 μg/mL, 0.03–1.15 μg/mL, and 75.57%‐125.31%, respectively. The reference intervals at second trimester were 2.31–4.77 g/L, 9.70–12.64 s, 24.16–35.43 s, 12.95–15.88 s, 0.15–7.40 μg/mL, 0.08–2.13 μg/mL, and 74.35%‐119.28%, respectively. For the third‐trimester, the intervals were 2.39–4.96 g/L, 9.20–11.95 s, 23.90–35.51 s, 13.41–18.00 s, 0.55–13.43 μg/mL, 0.15–3.60 μg/mL, and 71.61%‐118.29%, respectively. The third‐trimester group showed decreased PT, APTT, and ATIII and increased FIB, TT, DD and FDP as compared with the other groups. Conclusion In this study, level changes of coagulation parameters in different trimesters were observed. And the ranges for coagulation parameters were presented, which may provide some reference for clinicians to more accurately monitor the coagulation and fibrinolytic system in pregnant women.
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Affiliation(s)
- Wengong Wang
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Kai Long
- Shenzhen Mindray Bio-Medical Electronic Co, Ltd, Shenzhen, China
| | - Fenglin Deng
- Department of laboratory medicine, Wuhan Petrochemical Hospital, Wuhan, China
| | - Wei Ye
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Pingwei Zhang
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Xi Chen
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Weiguo Dong
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Ping Zheng
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Xinxin Zhang
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Tianyu Yang
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Weihong Chen
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Kai Yang
- Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
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Li J, Zhang W, Zhou Y, Shi J, Xia W, Xu S, Cai Z. Cumulative health risks for bisphenols using the maximum cumulative ratio among Chinese pregnant women. Environ Pollut 2021; 270:116044. [PMID: 33261967 DOI: 10.1016/j.envpol.2020.116044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 08/15/2020] [Accepted: 10/06/2020] [Indexed: 06/12/2023]
Abstract
Bisphenol A and its alternatives are frequently detected in environmental and human samples, but studies associated with the pattern of combined health hazards from the exposure to the bisphenol mixtures are lacking, particularly for pregnant women. Here, we recruited 941 pregnant women with a full set of urine samples in the three trimesters collected under a cohort study project in Wuhan, China, between 2014 and 2015. We measured the concentrations of 8 bisphenols in 2823 urine samples, and calculated the average concentrations of bisphenols, which were detected in over 50% of samples, once during each trimester of pregnancy. We calculated the maximum cumulative ratio (MCR) on basis of estimated daily intake (EDI), hazard quotient (HQ), hazard index (HI) of three major bisphenols, including bisphenol A (BPA), bisphenol F (BPF), and bisphenol S (BPS), to find which one or mixtures drive risks. Participants were categorized into four groups according to their maximum HQ, HI and MCR values. We found negative relationships between log(MCR-1) and log(HI) with the slope (-0.6431). Percentage of HQ of BPA in HI ranged from 37.1% (<25th percentiles of HI) to 75.5% (>95th percentiles of HI) indicating the upward trend of dominance by BPA at increasing HI ranges. The cumulative health risks of bisphenol exposures largely originated from the health hazards of BPA and BPS, particularly BPA. The intervention for regulation on the production and application of BPA and its alternatives are urgent, and China should consider national regulation on these chemicals based on its risk to human health.
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Affiliation(s)
- Jiufeng Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Wenxin Zhang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanqiu Zhou
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Jingchun Shi
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China.
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Li Y, Yue X, Pan Z, Liu Y, Shen M, Zhai Y, Cao Z. Development and validation of an LC-MS/MS method for quantifying nine antimicrobials in human serum and its application to study the exposure of Chinese pregnant women to antimicrobials. J Clin Lab Anal 2020; 35:e23658. [PMID: 33219583 PMCID: PMC7958000 DOI: 10.1002/jcla.23658] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 10/09/2020] [Accepted: 11/02/2020] [Indexed: 12/14/2022] Open
Abstract
Background To study the prevalence of the exposure of pregnant women to antimicrobials, a sensitive and reliable liquid chromatography‐tandem mass spectrometry (LC‐MS/MS) method was developed and validated to determine nine antimicrobials, namely sulfadimidine, sulfapyridine, sulfadiazine, sulfathiazole, ofloxacin, ciprofloxacin, norfloxacin, tetracycline, and lincomycin, in human serum. Methods The sample preparation procedure included protein precipitation followed by a cleanup step with solid phase extraction (SPE). Separation was carried out using a CORTECS T3 column (100 × 2.1 mm, 2.7 µm) by gradient elution with a runtime of 8.0 min. Detection was performed on a triple quadruple tandem mass spectrometer with scheduled multiple reaction monitoring (sMRM) in positive ion scan mode. Results The calibration curves were linear over the concentration range of 0.5–50 ng/ml, and the limit of quantitation was between 0.01 and 0.2 ng/ml. For each level of quality control samples, the inter‐ and intra‐assay precision values were less than 12.0%, and the accuracy ranged from 86.1% to 109.0%. No significant matrix effect or carryover was observed. The antimicrobials of interest were stable under all investigated conditions. The validated method was applied to analyze clinical samples from pregnant women in China, and 10 out of 500 samples showed the presence of antimicrobial residues. Moreover, compared with the time‐resolved fluoro‐immunoassay (TRFIA) method, the developed method showed greater sensitivity and specificity. Conclusion This study provides a simple and rapid LC‐MS/MS method for the simultaneous measurement of nine antimicrobials in serum samples, which could be a useful tool in clinical utilization.
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Affiliation(s)
- Youran Li
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Xiaofei Yue
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Zhifeng Pan
- Shanghai Trace Source Biotechnology Co., Ltd, Shanghai, China
| | - Ying Liu
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Min Shen
- Reference Laboratory, Medical System Biotechnology Co., Ltd, Ningbo, China
| | - Yanhong Zhai
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Zheng Cao
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
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Liu J, Wang S, Leng J, Li J, Huo X, Han L, Liu J, Zhang C, Chan JCN, Yu Z, Hu G, Yang X. Impacts of gestational diabetes on quality of life in Chinese pregnant women in urban Tianjin, China. Prim Care Diabetes 2020; 14:425-430. [PMID: 31918978 DOI: 10.1016/j.pcd.2019.12.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 12/15/2019] [Accepted: 12/17/2019] [Indexed: 12/16/2022]
Abstract
AIMS This study aimed to examine impacts of gestational diabetes mellitus (GDM) on quality of life (QoL) domains in Chinese pregnant women. METHODS We recruited 13,358 pregnant women in Tianjin, China. GDM was diagnosed using the criteria of International Association of Diabetes and Pregnancy Study Group. QoL was measured using the 36-Item Short-Form Health Survey. General linear model was used to obtain β-coefficient and 95% confidence intervals (CI) of GDM for QoL domain and summary scores. RESULTS 7.25% of the pregnant women developed GDM. Among the QoL domain and summary scores, only general health (GH) score was lower in the GDM group than in the non-GDM group. GDM and advanced maternal age (i.e., ≥ versus <30 years) were negatively associated with GH in multivariable analyses (β-coefficient: -1.17, 95%CI: -2.17 to -0.17 & -0.79, -1.40 to -0.18, respectively). In subgroup analyses, the β-coefficient of GDM for GH among women with maternal age ≥30 years was enhanced to -2.17 (-3.94 to -0.40) in multivariable analysis while the β-coefficient of GDM for GH among women aged <30 years was attenuated to non-significance. CONCLUSIONS GDM and advanced maternal age were associated with reducing GH, and presence of advanced maternal age markedly increased the effect of GDM on GH.
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Affiliation(s)
- Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shuting Wang
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoxu Huo
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Liang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jin Liu
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Cuiping Zhang
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and The Chinese University of Hong Kong-Prince of Wales Hospital-International Diabetes Federation Centre of Education, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Song L, Yu Z, Xu Y, Li X, Liu X, Liu D, Zhou T. Preliminary physiologically based pharmacokinetic modeling of renally cleared drugs in Chinese pregnant women. Biopharm Drug Dispos 2020; 41:248-267. [PMID: 32520400 DOI: 10.1002/bdd.2243] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/22/2020] [Accepted: 05/27/2020] [Indexed: 12/16/2022]
Abstract
AIM The aim of this study was to build and verify a preliminary physiologically based pharmacokinetic (PBPK) model of Chinese pregnant women. The model was used to predict maternal pharmacokinetics (PK) of 6 predominantly renally cleared drugs. METHOD Based on SimCYP Caucasian pregnancy population dataset, the preliminary Chinese pregnant population was built by updating several key parameters and equations according to physiological parameters of Chinese (or Japanese) pregnant women. Drug-specific parameters of 6 renally cleared drugs were validated through PBPK modeling of Caucasian non-pregnant, Caucasian pregnant and Chinese non-pregnant population. The preliminary PBPK model of Chinese pregnant population was then developed by integrating the preliminary Chinese pregnant population and the drug-specific parameters. This model was verified by comparing the predicted maternal PK of these 6 drugs with the observed in vivo data from the literature. RESULTS The preliminary Chinese pregnant population PBPK model successfully predicted the PK of 6 target drugs for different pregnancy stages. The predicted plasma concentrations time profiles fitted the observed data well, and most predicted PK parameters were within 2-fold of observed data. CONCLUSIONS The preliminary Chinese pregnant population PBPK model provided a useful tool to predict the maternal PK of 6 predominantly renally cleared drugs in Chinese pregnant women.
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Affiliation(s)
- Ling Song
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery System, Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China
| | - Zhiheng Yu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
| | - Yifan Xu
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100191, China
| | - Xiaobei Li
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery System, Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China
| | - Xuanlin Liu
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100191, China
| | - Dongyang Liu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
| | - Tianyan Zhou
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery System, Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China
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Sun Y, Shen Z, Zhan Y, Wang Y, Ma S, Zhang S, Liu J, Wu S, Feng Y, Chen Y, Cai S, Shi Y, Ma L, Jiang Y. Effects of pre-pregnancy body mass index and gestational weight gain on maternal and infant complications. BMC Pregnancy Childbirth 2020; 20:390. [PMID: 32631269 PMCID: PMC7336408 DOI: 10.1186/s12884-020-03071-y] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 06/19/2020] [Indexed: 02/06/2023] Open
Abstract
Background The potential effects of pre-pregnancy body mass (BMI) and gestational weight gain (GWG) on pregnancy outcomes remain unclear. Thus, we investigated socio-demographic characteristics that affect pre-pregnancy BMIs and GWG and the effects of pre-pregnancy BMI and GWG on Chinese maternal and infant complications. Methods 3172 women were enrolled in the Chinese Pregnant Women Cohort Study-Peking Union Medical College from July 25, 2017 to July 24, 2018, whose babies were delivered before December 31, 2018. Regression analysis was employed to evaluate the socio-demographic characteristics affecting pre-pregnancy BMI and GWG values and their effects on adverse maternal and infant complications. Results Multivariate logistic regression analysis revealed that age groups < 20 years (OR: 1.97), 25–30 years (OR: 1.66), 30–35 years (OR: 2.24), 35–40 years (OR: 3.90) and ≥ 40 years (OR: 3.33) as well as elementary school or education below (OR: 3.53), middle school (OR: 1.53), high school (OR: 1.40), and living in the north (OR: 1.37) were risk factors in maintaining a normal pre-pregnancy BMI. An age range of 30–35 years (OR: 0.76), living in the north (OR: 1.32) and race of ethnic minorities (OR: 1.51) were factors affecting GWG. Overweight (OR: 2.01) and inadequate GWG (OR: 1.60) were risk factors for gestational diabetes mellitus (GDM). Overweight (OR: 2.80) and obesity (OR: 5.42) were risk factors for gestational hypertension (GHp). Overweight (OR: 1.92), obesity (OR: 2.48) and excessive GWG (OR: 1.95) were risk factors for macrosomia. Overweight and excessive GWG were risk factors for a large gestational age (LGA) and inadequate GWG was a risk factor for low birth weights. Conclusions Overweight and obesity before pregnancy and an excessive GWG are associated with a greater risk of developing GDM, GHp, macrosomia and LGA. The control of body weight before and during the course of pregnancy is recommended to decrease adverse pregnancy outcomes, especially in pregnant women aged < 20 or > 25 years old educated below university and college levels, for ethnic minorities and those women who live in the north of China. Trial registration Registered at Clinical Trials (NCT03403543), September 29, 2017.
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Affiliation(s)
- Yin Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China
| | - Zhongzhou Shen
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yongle Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yawen Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Shuai Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Suhan Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China
| | - Juntao Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China
| | - Sansan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yahui Feng
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yunli Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Shuya Cai
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Yingjie Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China.
| | - Yu Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China.
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Li J, Qian X, Zhao H, Zhou Y, Xu S, Li Y, Xiang L, Shi J, Xia W, Cai Z. Determinants of exposure levels, metabolism, and health risks of phthalates among pregnant women in Wuhan, China. Ecotoxicol Environ Saf 2019; 184:109657. [PMID: 31526923 DOI: 10.1016/j.ecoenv.2019.109657] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 08/29/2019] [Accepted: 09/05/2019] [Indexed: 06/10/2023]
Abstract
Concerns on minimizing health risks of phthalates have been raised due to their widespread exposure and well-documented endocrine disrupting properties, but the determinants of levels, metabolism, and health risks of phthalate exposures have not been thoroughly characterized among the Chinese population, particularly pregnant women. The metabolites of five phthalates were analyzed: diethyl (DEP), diisobutyl (DiBP), di-n-butyl (DnBP), di-(2-ethylhexyl) (DEHP), and benzyl butyl phthalate (BBzP) were analyzed in urine samples collected from 946 mothers in Wuhan during 2014-2015. We applied linear mixed models to investigate the relationships between biomarkers (e.g., urinary concentrations of phthalate metabolites, phthalates, and ratios of metabolites) and factors including sampling seasons and epidemiological characteristics. We calculated estimated daily intake (EDI) using average phthalate concentrations over three trimesters and hazard index (HI) by dividing EDI by tolerance daily intake. About 24.9% of participants were at health risks with HI > 1. The largest health risks were driven by one specific phthalate (DnBP or DEHP). We observed lower urinary levels of phthalate metabolites in winter. Elevated levels were found in mothers with higher education levels or those employed. Mothers who got pregnant on purpose had lower phthalate concentrations than those got pregnant by accident. More recent exposure to phthalates was observed among groups of mothers giving birth to girls, or those who got excessive gestational weight gain. Younger mothers were more susceptible to phthalate exposure. This repeated measurement study suggests that the intervention should be taken to limit application and production of DnBP and DEHP, and highlights that typical demographic factors should be taken into account in demographic studies.
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Affiliation(s)
- Jiufeng Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Xi Qian
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongzhi Zhao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Yanqiu Zhou
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Xiang
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Jingchun Shi
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China.
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Li J, Xia W, Wu C, Zhao H, Zhou Y, Wei J, Ji F, Luan H, Xu S, Cai Z. Variations of phthalate exposure and metabolism over three trimesters. Environ Pollut 2019; 251:137-145. [PMID: 31078085 DOI: 10.1016/j.envpol.2019.04.085] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 03/30/2019] [Accepted: 04/16/2019] [Indexed: 06/09/2023]
Abstract
Maternal exposure to phthalates may cause some adverse health effects on both mother and fetus, but variations of phthalate exposure and metabolism during pregnancy have not been thoroughly characterized. A total of 946 participants were selected from a cohort study conducted in Wuhan between 2014 and 2015 through which they had provided a complete set of urine samples at three trimesters. Eight phthalate metabolites were analyzed in 2838 urine samples. Based on urinary concentrations, various parameters (i.e. phthalate metabolite concentrations, ratios of metabolites of bis(2-ethylhexyl) phthalate (DEHP) in DEHP, and percentages of individual metabolites in total phthalates) were compared over three visits. We observed that levels of phthalate metabolites showed a U-shaped trend across three trimesters. The significant variations in the ratios of DEHP metabolites indicated that the efficiency in metabolizing DEHP declined during pregnancy and less recent exposure occurred in mid-pregnancy. The changes of percentages of individual compound in total phthalates suggested the inconsistent pattern over trimesters. This longitudinal study found that the exposure pattern, exposure timing and metabolic susceptibility varied by trimesters, which suggests that urine samples should be collected at multiple time points and mothers should be especially careful in the early pregnancy.
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Affiliation(s)
- Jiufeng Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chuansha Wu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongzhi Zhao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Yanqiu Zhou
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Juntong Wei
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Fenfen Ji
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| | - Hemi Luan
- SUSTech Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, 1088, Xueyuan Rd, Shenzhen, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China.
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Yang J, Wang H, Du H, Xu L, Liu S, Yi J, Qian X, Chen Y, Jiang Q, He G. Factors associated with exposure of pregnant women to perfluoroalkyl acids in North China and health risk assessment. Sci Total Environ 2019; 655:356-362. [PMID: 30471604 DOI: 10.1016/j.scitotenv.2018.11.042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 11/03/2018] [Accepted: 11/03/2018] [Indexed: 05/18/2023]
Abstract
Perfluoroalkyl acids (PFAAs) have been frequently found in blood of pregnant women, but the predictors and potential health risk have not been well studied in China. We recruited 534 pregnant women in Tangshan City of Hebei Province in North China between 2013 and 2014 and measured five PFAAs in serum during their early term of pregnancy, including perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid (PFHxS), perfluoro‑n‑undecanoic acid (PFUdA), and perfluorononanoic acid (PFNA). We explored the factors associated with the levels of serum PFAAs and assessed associated health risks. Food consumption information was obtained by food frequency questionnaire covering 100 items. Multiple linear regression model was used to determine the associations of sociodemographic, anthropometric, and food factors with the concentrations of serum PFAAs. Some PFAAs in serum were positively associated with age and body mass index (BMI). Consumption of beans, aquatic products, and eggs was positively associated with the concentrations of several PFAAs after adjusting for important covariates. Pregnant women who ate more cereal, vegetables, mushrooms and alga tended to have lower levels of serum PFOA, PFOS and PFNA. The Hazard index (HI) for reproductive toxicity and developmental toxicity was below 0.8, and the HI for hepatotoxicity beyond 1 was found in 0.37% of pregnant women. These results suggested that age, BMI, and some food consumption were predictors for the exposure to PFAAs in Chinese pregnant women. More attention should be paid to the hepatotoxicity for these exposures.
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Affiliation(s)
- Jiaqi Yang
- School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Hexing Wang
- School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Hongyi Du
- School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Linji Xu
- Maternal and Child Health Care Hospital, Tangshan Municipality, No. 14 South Jianshe Road, Tangshan 063000, Hebei Province, China
| | - Shuping Liu
- Maternal and Child Health Care Hospital, Tangshan Municipality, No. 14 South Jianshe Road, Tangshan 063000, Hebei Province, China
| | - Jianping Yi
- Maternal and Child Health Care Hospital, Tangshan Municipality, No. 14 South Jianshe Road, Tangshan 063000, Hebei Province, China
| | - Xu Qian
- School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1G 5Z3, Canada
| | - Qingwu Jiang
- School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Gengsheng He
- School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China.
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Wang M, Song Q, Xu J, Hu Z, Gong Y, Lee AC, Chen Q. Continuous support during labour in childbirth: a Cross-Sectional study in a university teaching hospital in Shanghai, China. BMC Pregnancy Childbirth 2018; 18:480. [PMID: 30522458 PMCID: PMC6282363 DOI: 10.1186/s12884-018-2119-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 11/23/2018] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Fear or anxiety could result in adverse consequences on the course of labour. To date, family members are still not permitted in the delivery rooms in the majority of hospitals in China, and continuous support from hospital professional staff is also limited. This study aimed to evaluate the benefits of continuous support by family members and hospital professional staff during labour in China. METHODS In this Cross-Sectional study, 362 primiparous pregnancies who self-requested to receive continuous or one to one support with vaginal delivery and 362 primiparous pregnant women with routine hospital maternal care were included from a university teaching hospital. Data on the length of labour, postpartum haemorrhage (PPH), use of pain relief, use of oxytocin, fetal distress, emergency caesarean section and apgar score at 1 and 5 min were retrospectively collected from hospital medical data-base and compared between the two groups. RESULTS Multiple linear regressions adjusting for maternal age, BMI and birth weight, revealed the estimated length of labour for women with routine hospital maternal care was 2.03 times (95%CI 1.86 to 2.21) the duration of women with supportive care (median time, 3.05 h vs 1.5 h). In addition, Fisher's exact test showed the emergency caesarean section rate was significantly lower in women with supportive care compared to women with routine hospital maternal care (3.3% vs 24%). CONCLUSION Our results suggest that continuous support from family members together with hospital professional staff should be considered as part of intrapartum care in hospitals in China.
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Affiliation(s)
- Man Wang
- Department of Obstetrics & Gynaecology, Minhang District Central Hospital, Fudan University, 170 Xinsong Rd, XinZhuang, Shanghai, China
| | - Qing Song
- Department of Obstetrics & Gynaecology, Minhang District Central Hospital, Fudan University, 170 Xinsong Rd, XinZhuang, Shanghai, China
| | - Jun Xu
- Department of Obstetrics & Gynaecology, Minhang District Central Hospital, Fudan University, 170 Xinsong Rd, XinZhuang, Shanghai, China
| | - Zheng Hu
- Department of Obstetrics & Gynaecology, Minhang District Central Hospital, Fudan University, 170 Xinsong Rd, XinZhuang, Shanghai, China
| | - Yingying Gong
- Department of Obstetrics & Gynaecology, Minhang District Central Hospital, Fudan University, 170 Xinsong Rd, XinZhuang, Shanghai, China
| | - Arier C. Lee
- Section of Epidemiology and Biostatistics, School of Population Health, The University of Auckland, 85 Park Road, Auckland, Grafton New Zealand
| | - Qi Chen
- The Hospital of Obstetrics & Gynaecology, Fudan University, Shanghai, China
- Department of Obstetrics & Gynaecology, The University of Auckland, 85 Park Road, Auckland, New Zealand
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Wang H, Yang J, Du H, Xu L, Liu S, Yi J, Qian X, Chen Y, Jiang Q, He G. Perfluoroalkyl substances, glucose homeostasis, and gestational diabetes mellitus in Chinese pregnant women: A repeat measurement-based prospective study. Environ Int 2018; 114:12-20. [PMID: 29459131 DOI: 10.1016/j.envint.2018.01.027] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Revised: 01/07/2018] [Accepted: 01/26/2018] [Indexed: 05/26/2023]
Abstract
BACKGROUND Exposure to perfluoroalkyl substances (PFASs) can affect glucose homeostasis and has been suggested as a potential risk of diabetes mellitus, but data are limited for pregnant women. OBJECTIVES We aimed to explore the associations of exposure to PFASs with glucose homeostasis and gestational diabetes mellitus (GDM) in Chinese pregnant women. METHODS The current study was conducted in Hebei Province of Northern China between 2013 and 2014 and 560 pregnant women were recruited in their early term of pregnancy and two representative serum PFASs, perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS), were measured. In 385 pregnant women who completed oral glucose tolerance test (OGTT), the associations of serum PFOA and PFOS concentrations with fasting blood glucose (FBG), fasting insulin (FIns), and homeostasis model assessment of insulin resistance (HOMA-IR) in the early, middle, and late terms of pregnancy and occurrence of GDM were examined using linear and Cox proportional hazard regression models. The reproducibility of serum PFASs during pregnancy was assessed in 230 pregnant women. RESULTS The intraclass correlation coefficients of serum PFASs, covariates, and outcomes based on averaged repeat measurement (0.35-0.96) were higher than those based on single measurement (0.16-0.92). Serum PFOA was positively associated with averaged FIns and HOMA-IR in the early, middle, and late terms of pregnancy and averaged blood glucose level at 1 h and 2 h of OGTT, but serum PFOS tended to be negatively associated with averaged FBG and OGTT blood glucose. The adjusted hazard ratios of GDM associated with serum PFOA and PFOS were 1.98 (95% confidence interval: 0.70-5.57; p-value: 0.197) and 0.71 (0.29-1.75; 0.453), respectively. CONCLUSIONS Our data raised a possibility that exposure to PFASs might have different influences on glucose homeostasis and GDM in Chinese pregnant women. More lab and human studies are needed to further test the hypothesis and investigate potential mechanisms.
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Affiliation(s)
- Hexing Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jiaqi Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Hongyi Du
- Department of Maternal, Child and Adolescent Health, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Linji Xu
- Maternal and Child Health Care Hospital, Tangshan Municipality, Tangshan 063000, Hebei province, China
| | - Shuping Liu
- Maternal and Child Health Care Hospital, Tangshan Municipality, Tangshan 063000, Hebei province, China
| | - Jianping Yi
- Maternal and Child Health Care Hospital, Tangshan Municipality, Tangshan 063000, Hebei province, China
| | - Xu Qian
- Department of Maternal, Child and Adolescent Health, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1G5Z3, Canada
| | - Qingwu Jiang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Gengsheng He
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China.
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Han Q, Shao P, Leng J, Zhang C, Li W, Liu G, Zhang Y, Li Y, Li Z, Ren Y, Chan JCN, Yang X. Interactions between general and central obesity in predicting gestational diabetes mellitus in Chinese pregnant women: A prospective population-based study in Tianjin, China. J Diabetes 2018; 10:59-67. [PMID: 28383185 DOI: 10.1111/1753-0407.12558] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 03/14/2017] [Accepted: 04/02/2017] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND The aim of the present study was to define cut-off points of body mass index (BMI) and waist circumference (WC) for gestational diabetes mellitus (GDM) and to investigate any interactions between high BMI and high WC on the risk of GDM in pregnant Chinese women. METHODS From 2010 to 2012, 17 803 women in Tianjin, China, who were at 4-12 weeks gestation were recruited to the study. Gestational diabetes mellitus was diagnosed according to the criteria of the International Association of Diabetes and Pregnancy Study Group at 24-28 weeks gestation. Binary logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) while controlling for the confounding effects of traditional risk factors. Restricted cubic spline was used to identify cut-off points of WC and BMI, if any, for GDM. RESULTS Gestational diabetes mellitus developed in 1383 (7.8%) women. The risk of GDM increased steeply with increasing WC from ≥78.5 cm and BMI ≥22.5 kg/m2 . If BMI <22.5 kg/m2 and WC <78.5 cm were used as the reference, BMI between ≥22.5 and <24.0 kg/m2 (multivariable OR 1.76; 95%CI 1.47-2.10) and WC between ≥78.5 and <85.0 cm (multivariable OR 1.53; 95%CI 1.31-1.78) were independently associated with increased risks of GDM. In addition, the presence of both BMI ≥22.5 kg/m2 and WC ≥78.5 cm further increased the OR to 2.83 (95% CI 2.44-3.28), with significant additive interaction. CONCLUSIONS Body mass index ≥22.5 kg/m2 and WC ≥78.5 cm measured up to 12 weeks of gestation were independently and synergistically associated with increased risks of GDM in Chinese pregnant women.
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Affiliation(s)
- Qian Han
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ping Shao
- Department of Women Health, Tianjin Women and Children's Health Center, Tianjin, China
| | - Junhong Leng
- Department of Women Health, Tianjin Women and Children's Health Center, Tianjin, China
| | - Cuiping Zhang
- Department of Women Health, Tianjin Women and Children's Health Center, Tianjin, China
| | - Wei Li
- Department of Women Health, Tianjin Women and Children's Health Center, Tianjin, China
| | - Guifeng Liu
- Nankai District Women and Children's Health Center, Tianjin, China
| | - Yuanyuan Zhang
- Heping District Women and Children's Health Center, Tianjin, China
| | - Yi Li
- Department of Women Health, Tianjin Women and Children's Health Center, Tianjin, China
| | - Zhe Li
- Department of Women Health, Tianjin Women and Children's Health Center, Tianjin, China
| | - Yanfeng Ren
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
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Jiang X, Liu M, Song Y, Mao J, Zhou M, Ma Z, Qian X, Han Z, Duan T. The Institute of Medicine recommendation for gestational weight gain is probably not optimal among non-American pregnant women: a retrospective study from China. J Matern Fetal Neonatal Med 2017; 32:1353-1358. [PMID: 29172881 DOI: 10.1080/14767058.2017.1405388] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
PURPOSE To investigate whether the Institute of Medicine (IOM) recommended gestational weight gain (GWG) range is optimal among Chinese singleton pregnant women. METHODS For the purpose of a retrospective observational study, data on 8209 mature singleton deliveries in Shanghai from January 2014 to December 2016 were extracted from medical records in terms of clinical performance. All cases were categorized as undergainers, appropriate-gainers, and above-gainers according to IOM recommended gestational weight gain range after stratification of maternal BMI and proportions of three categories were calculated. Comparisons of maternal and neonatal outcome were conducted among three categories and the associations of those outcome including risks of low birth weight (LBW) and macrosomia (MAC) with GWG were estimated by logistic regression analysis. To examine the applicability of IOM recommendation for Chinese pregnant women, the accumulated risk of LBW and MAC was displayed by stacked column chart and comparison was made among GWG category. The joint predicted risk (JPR) curve of both LBW and MAC in relation to GWG (continuous measurement) was plotted to demonstrate the relation of lowest JPR corresponding GWG with IOM range. RESULTS The IOM recommended weight gain was achieved only by 3502 (42.7%) pregnant women and 41.6% gained excessive weight during pregnancy, especially for the overweight and obese women, the proportions of above-gainers mounting to 65.7 and 75.9%, respectively. By multivariate analysis GWG significantly influenced the risk of MAC and caesarean section. Although the association between the risk of LBW and GWG was not significant, p value reached .051. The risk of delivering macrosomia and caesarean section doubled when GWG exceeded the IOM rang. Appropriate gainers did not always gain the lowest joint risk of low birth weight and macrosomia from stacked column chart and it is obvious that the GWG point according to the lowest JPR was always located left to the IOM recommended range for each BMI category from the JPR curve chart in relation to GWG. CONCLUSIONS The IOM recommended GWG range is possibly too much for Chinese singleton pregnant population for each BMI category. It is necessary to build different gestational weight gain standards for specific ethnic population.
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Affiliation(s)
- Xiang Jiang
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Ming Liu
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Yuehua Song
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Jing Mao
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Mulan Zhou
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Zhenfang Ma
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Xiaohu Qian
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Zhimin Han
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
| | - Tao Duan
- a Department of Obstetrics and Gynecology , Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine , Shanghai , China
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Shen Y, Zhao W, Lin J, Liu F. Accuracy of sonographic fetal weight estimation prior to delivery in a Chinese han population. J Clin Ultrasound 2017; 45:465-471. [PMID: 28332212 DOI: 10.1002/jcu.22463] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 01/07/2017] [Accepted: 01/22/2017] [Indexed: 06/06/2023]
Abstract
OBJECTIVE To compare the sonographic-estimated fetal weights (EFW) calculated with the Hadlock formula and with the Woo formula in a group of Chinese pregnant women. METHODS We prospectively recruited term pregnancies for sonographic biometric examination. EFWs were calculated according to two formulas and compared with the corresponding birth weight (BW). We also assessed the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of EFW for the diagnosis of small-for-gestational age (SGA) and large-for-gestational age (LGA) neonates. RESULTS A total of 374 subjects who delivered within 7 days after the sonographic examinations was recruited. Using the Hadlock formula, the median absolute difference between EFW and BW was 182 g (15-308 g) and the median percentage difference was 5.3% (0.5-9.1%), whereas it was 230 g (62-367) and 7.1% (2.1-10.4%) for the Woo formula (p < 0.001). Several factors, namely the fetal presentation, gender, and high amniotic quantity, showed no evident impact on this predictive difference. Among the 175 women who delivered within 2 days after ultrasound, the sensitivity and specificity of Hadlock EFW were 100% and 97.1% for the detection of SGA and 48.1% and 97.3% for the detection of LGA, respectively. The PPV and NPV were 44.4% and 100.0% for the detection of SGA and 76.5% and 91.1% for the detection of LGA, respectively. CONCLUSIONS EFWs calculated using the Hadlock formula for our research subjects were as accurate as those reported for other populations. The predictive performance showed a high NPV for the diagnosis of SGA and a relatively acceptable PPV for the diagnosis of LGA. © 2017 Wiley Periodicals, Inc. J Clin Ultrasound 45:465-471, 2017.
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Affiliation(s)
- Yao Shen
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - WeiXiu Zhao
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - JianHua Lin
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - FangSun Liu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
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Kim SY, Sy V, Araki T, Babushkin N, Huang D, Tan D, Liao E, Liu G, Wan S, Poretsky L, Seto-Young D. Total adiponectin, but not inflammatory markers C-reactive protein, tumor necrosis factor-α, interluekin-6 and monocyte chemoattractant protein-1, correlates with increasing glucose intolerance in pregnant Chinese-Americans. J Diabetes 2014; 6:360-8. [PMID: 24330072 PMCID: PMC4235426 DOI: 10.1111/1753-0407.12114] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 11/04/2013] [Accepted: 11/30/2013] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Elevated insulin, C-reactive protein (CRP), tumor necrosis factor (TNF)-α, interleukin (IL)-6, and monocyte chemoattractant protein (MCP)-1 levels and decreased high molecular weight adiponectin (HMW-APN) levels have been reported in Caucasians with gestational diabetes mellitus (GDM). No similar studies have been performed in Chinese women. METHODS Serum samples were obtained 1 h after a 50-g glucose challenge test (1HGCT) from Chinese-American women at 24-28 gestational weeks and total adiponectin (T-APN), HMW-APN, CRP, TNF-α, IL-6, and MCP-1 concentrations were measured. Correlation coefficients for glucose (1HGCT), HbA1c, insulin, and body mass index (BMI) were calculated against T-APN, HMW-APN, CRP, TNF-α, IL-6, and MCP-1. Significant P-values were determined using Bonferroni adjustments. RESULTS Women with GDM had higher insulin and 1HGCT and lower T-APN. In addition, T-APN was lower in non-GDM subjects who had 1HGCT ≥135 mg/dL with no abnormal or one abnormal glucose value on the 3-h oral glucose tolerance test. There were no significant differences in HMW-APN and inflammatory marker levels between non-GDM and GDM groups. There were negative correlations between T-APN and 1HGCT, insulin, BMI, and HbA1c, as well as between HMW-APN and 1HGCT, insulin, and BMI. No significant correlations were observed between 1HGCT, HbA1c, insulin, or BMI and CRP, TNF-α, IL-6, or MCP-1. CONCLUSIONS T-APN is reduced in Chinese women with GDM and those without GDM but with evidence of glucose intolerance. Unlike results reported for Caucasians, Chinese-American women with GDM do not exhibit elevated levels of CRP, TNF-α, IL-6, or MCP-1, possibly because Chinese women are relatively leaner compared with Caucasians.
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Affiliation(s)
- So-Young Kim
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Vanessa Sy
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Takako Araki
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Nicole Babushkin
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Diana Huang
- Department of Obstetrics and Gynecology, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Doris Tan
- Department of Obstetrics and Gynecology, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Emilia Liao
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - George Liu
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Stephen Wan
- Department of Obstetrics and Gynecology, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Leonid Poretsky
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
| | - Donna Seto-Young
- Division of Endocrinology and Friedman Diabetes Institute, Department of Medicine, Beth Israel Medical Center and Albert Einstein College of Medicine, New YorkNew York, USA
- Correspondence, Donna Seto-Young, Division of Endocrinology, Beth Israel Medical Center, 317 East 17th Street, Fierman Hall, 7th Floor, New York, NY 10003, USA., Tel.: +1 212 420 4666, Fax: +1 212 420 2224,
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