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Li Z, Lyu YB, Zhao F, Sun Q, Qu YL, Ji SS, Qiu T, Li YW, Song SX, Zhang M, Liu YC, Cai JY, Song HC, Zheng XL, Wu B, Li DD, Liu Y, Zhu Y, Cao ZJ, Shi XM. [Association of lead exposure with stunting and underweight among children aged 3-5 years in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1597-1603. [PMID: 36372750 DOI: 10.3760/cma.j.cn112150-20211229-01197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To evaluate the association of lead exposure with stunting and underweight among children aged 3-5 years in China. Methods: Data was collected from China National Human Biomonitoring (CNHBM) between January 2017 and December 2018. A total of 3 554 children aged 3-5 years were included. Demographic characteristic, lifestyle and nutritional status were collected through questionnaires. Height and weight were measured by standardized method. Stunting and underweight status were determined by calculating height for age Z-score and weight for age Z-score. Blood and urine samples were collected to detect the concentrations of blood lead, urinary lead and urinary creatinine. Children were stratified into 4 groups (Q1 to Q4) by quartiles of blood lead level and corrected urinary lead level, respectively. Complex sampling logistic regression models were applied to evaluate the association of the blood lead level, urinary lead level with stunting and underweight. Results: Among 3 554 children, the age was (4.09±1.06) years, of which 1 779 (80.64%) were female and 1 948 (55.84%) were urban residents. The prevalence of stunting and wasting was 7.34% and 2.96%, respectively. The M (Q1, Q3) for blood lead levels and urinary lead levels in children was 17.49 (12.80, 24.71) μg/L, 1.20 (0.61, 2.14) μg/g Cr, respectively. After adjusting for confounding factors, compared with the lowest blood lead concentration group Q1, the risk of stunting gradually increased in the Q3 and Q4 group (Ptrend=0.010), with OR (95%CI) values of 1.40 (0.80-2.46) and 1.80 (1.07-3.04), respectively. Compared with the lowest urinary lead concentration group Q1, the risk of stunting still increased in the Q3 and Q4 group (Ptrend=0.012), with OR (95%CI) values of 1.69 (1.01-2.84) and 1.79 (1.05-3.06), respectively. The correlation between the lead exposure and underweight was not statistically significant (P>0.05). Conclusion: Lead exposure is positively associated with the risk of stunting among children aged 3-5 years in China.
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Affiliation(s)
- Z Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Zhao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Q Sun
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y L Qu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S S Ji
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - T Qiu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y W Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S X Song
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - M Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y C Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Y Cai
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H C Song
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X L Zheng
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - B Wu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - D D Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Liu
- School of Public Health, Jilin University, Changchun 130012, China
| | - Y Zhu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z J Cao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Song SX, Sun L, He YJ, Wu JL, Sun WK, Zhang S, Li Z, Kou ZQ, Liu T. [Analysis of the epidemiological characteristics and genetic characteristics of influenza in the surveillance-year of 2021 to 2022 in Shandong Province, China]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1554-1559. [PMID: 36372743 DOI: 10.3760/cma.j.cn112150-20220812-00807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To analyze the epidemiological characteristics, etiology and hemagglutinin (HA) gene characteristics of prevalent strains in Shandong Province from 2021 to 2022. Methods: The sentinel surveillance data of influenza-like illness (ILI) were collected in Shandong Province from 2021 to 2022. ILI specimens were detected with Real-Time PCR and virus isolation to explore the distribution of influenza viruses in different months. Three virus strains of each city were selected for gene sequencing, and the HA phylogenetic analysis was carried out. Results: In the surveillance-year from 2021 to 2022, 528 263 ILI cases were totally reported in 54 sentinel hospitals for influenza surveillance in Shandong Province. ILI visiting ratio (ILI%) was 4.07%, with the largest number in 0-4 age group (45.86%). The highly frequent season for ILI was in winter and spring, with a peak in the 52nd week, 2021 (6.62%). Totally, nucleic acid was detected in 26 754 specimens, with a positive rate of 27.10%, all of which were type B Victoria influenza. The positive rate reached a peak in the 49th week, 2021 (63.78%). A total of 295 outbreaks of ILI had been reported, in which 269 were positive for influenza virus. Most of outbreaks occurred in the primary school, with a peak in December. Gene evolution analysis showed that the HA gene in Shandong possessed high homology, 98.6% to 99.5%, with the recommended vaccine strains in 2020-2023, which was divided into two branches, V1A.3a.1 and V1A.3a.2. Conclusion: In the surveillance-year of 2021-2022, influenza is prevalent in December in Shandong Province, with a single circulating strain type. The positive rate of influenza virus and outbreak are higher than those in the previous surveillance-year. The circulating strain possesses high HA gene homology with those of the WHO vaccine recommended strains. However, the overall immune barrier of influenza virus is weak.
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Affiliation(s)
- S X Song
- Shandong Provincial Leading Group Office for the Prevention and Control of Major Diseases and Infectious Diseases, Jinan 250014, China Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - L Sun
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Y J He
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - J L Wu
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - W K Sun
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - S Zhang
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Z Li
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Z Q Kou
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - T Liu
- Department of Infectious Disease Prevention and Control, Shandong Center for Disease Control and Prevention/Academy of Preventive Medicine, Shandong University/Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
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Ji SS, Lyu YB, Zhao F, Qu YL, Li Z, Li YW, Song SX, Zhang WL, Liu YC, Cai JY, Song HC, Li DD, Wu B, Liu Y, Zheng XL, Hu JM, Zhu Y, Cao ZJ, Shi XM. [Association of blood lead and blood selenium with serum high-sensitivity C-reactive protein among Chinese adults aged 19 to 79 years]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:195-200. [PMID: 35184484 DOI: 10.3760/cma.j.cn112338-20210715-00555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the association of blood lead and blood selenium with serum high-sensitivity C-reactive protein (hs-CRP) among Chinese adults aged 19 to 79 years. Methods: The participants were enrolled from the first wave of China National Human Biomonitoring (CNHBM) conducted from 2017 to 2018. 10 153 participants aged 19 to 79 years were included in this study. Fasting blood samples were obtained from participants. Lead and selenium in whole blood and hs-CRP in serum were measured. Individuals with hs-CRP levels above 3.0 mg/L were defined as elevated hs-CRP. Generalized linear mixed models and restricted cubic spline models were used to analyze the association of blood lead and blood selenium with elevated hs-CRP. Logistic regression models were used to analyze the multiplicative scale and additive scale interaction between blood lead and blood selenium on elevated hs-CRP. Results: The age of participants was (48.91±15.38) years, of which 5 054 (61.47%) were male. 1 181 (11.29%) participants were defined as elevated hs-CRP. After multivariable adjustment, results from generalized linear models showed that compared with participants with the lowest quartile of blood lead, the OR (95%CI) of elevated hs-CRP for participants with the second, third, and highest quartiles were 1.14 (0.94-1.37), 1.25 (1.04-1.52) and 1.38 (1.13-1.68), respectively. When compared with participants with the lowest quartile of blood selenium, the OR (95%CI) of elevated hs-CRP for participants with the second, third and highest quartiles were 0.86 (0.72-1.04), 0.91 (0.76-1.11), and 0.75 (0.61-0.92), respectively. Results from the interaction analysis showed no significant interaction between lead and selenium on elevated hs-CRP. Conclusion: Blood concentration of lead was positively associated with elevated serum hs-CRP, and blood concentration of selenium was inversely related to elevated hs-CRP, while blood lead and selenium did not present interaction on elevated hs-CRP.
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Affiliation(s)
- S S Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y L Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y W Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S X Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - W L Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y C Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Y Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H C Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - D D Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - B Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - X L Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - J M Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z J Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Zhang ZP, Song SX, Liu YC, Zhu XR, Jiang YF, Shi LT, Jiang JZ, Miao MM. Mixed Transcriptome Analysis Revealed the Possible Interaction Mechanisms between Zizania latifolia and Ustilago esculenta Inducing Jiaobai Stem-Gall Formation. Int J Mol Sci 2021; 22:ijms222212258. [PMID: 34830140 PMCID: PMC8618054 DOI: 10.3390/ijms222212258] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/06/2021] [Accepted: 11/09/2021] [Indexed: 11/23/2022] Open
Abstract
The smut fungus Ustilago esculenta infects Zizania latifolia and induces stem expansion to form a unique vegetable named Jiaobai. Although previous studies have demonstrated that hormonal control is essential for triggering stem swelling, the role of hormones synthesized by Z. latifolia and U. esculenta and the underlying molecular mechanism are not yet clear. To study the mechanism that triggers swollen stem formation, we analyzed the gene expression pattern of both interacting organisms during the initial trigger of culm gall formation, at which time the infective hyphae also propagated extensively and penetrated host stem cells. Transcriptional analysis indicated that abundant genes involving fungal pathogenicity and plant resistance were reprogrammed to maintain the subtle balance between the parasite and host. In addition, the expression of genes involved in auxin biosynthesis of U. esculenta obviously decreased during stem swelling, while a large number of genes related to the synthesis, metabolism and signal transduction of hormones of the host plant were stimulated and showed specific expression patterns, particularly, the expression of ZlYUCCA9 (a flavin monooxygenase, the key enzyme in indole-3-acetic acid (IAA) biosynthesis pathway) increased significantly. Simultaneously, the content of IAA increased significantly, while the contents of cytokinin and gibberellin showed the opposite trend. We speculated that auxin produced by the host plant, rather than the fungus, triggers stem swelling. Furthermore, from the differently expressed genes, two candidate Cys2-His2 (C2H2) zinc finger proteins, GME3058_g and GME5963_g, were identified from U. esculenta, which may conduct fungus growth and infection at the initial stage of stem-gall formation.
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Affiliation(s)
- Zhi-Ping Zhang
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College, Yangzhou University, Yangzhou 225009, China
| | - Si-Xiao Song
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
| | - Yan-Cheng Liu
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
| | - Xin-Rui Zhu
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
| | - Yi-Feng Jiang
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
| | - Ling-Tong Shi
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
| | - Jie-Zeng Jiang
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
| | - Min-Min Miao
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China; (Z.-P.Z.); (S.-X.S.); (Y.-C.L.); (X.-R.Z.); (Y.-F.J.); (L.-T.S.); (J.-Z.J.)
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College, Yangzhou University, Yangzhou 225009, China
- Correspondence:
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Chen JJ, Guo TC, Song SX, Shao ZJ, Liu K. [Epidemiological characteristics and the development of spatiotemporal analysis models on hemorrhagic fever with renal syndrome in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 41:1735-1740. [PMID: 33297635 DOI: 10.3760/cma.j.cn112338-20191108-00794] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease of natural infectious focus caused by Hantavirus (HV) with clinical characteristics as fever, hemorrhage, hyperemia, hypotensive shock and renal damage. Through contacting the excreta or secretion of infected rats, human may get infected. The epidemiological characteristics of HFRS are significantly different in terms of population differences, geographical heterogeneity and seasonal variation, which are all closely related to the habitat of host animals and human productive activities. The reported number of HFRS is about 150 000 to 200 000 each year worldwide, and China accounted for 70%-90% of the total reported cases standing the most seriously infected country. In this study, we reviewed the epidemiological characteristics and the influencing factors of HFRS as well as the models and methods used in relevant ecological studies, in order to understand the distribution of time, regional and population and potential influencing factors on the transmission of HFRS better, so as to improve the strategies on investigation, monitoring, prevention and control of the diseases.
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Affiliation(s)
- J J Chen
- Department of Epidemiology, School of Military Preventive Medicine, Air Force Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, 710032, China
| | - T C Guo
- Department of Epidemiology, School of Military Preventive Medicine, Air Force Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, 710032, China
| | - S X Song
- Department of Epidemiology, School of Military Preventive Medicine, Air Force Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, 710032, China
| | - Z J Shao
- Department of Epidemiology, School of Military Preventive Medicine, Air Force Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, 710032, China
| | - K Liu
- Department of Epidemiology, School of Military Preventive Medicine, Air Force Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, 710032, China
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Qu YL, Zhao F, Liu L, Song SX, Liu YC, Cai JY, Cao ZJ, Shi XM. [Cause and control of non-sampling error in China National Human Biomonitoring Program]. Zhonghua Yu Fang Yi Xue Za Zhi 2019; 53:107-111. [PMID: 30605972 DOI: 10.3760/cma.j.issn.0253-9624.2019.01.016] [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] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The size of the non-sampling error is directly related to the accuracy and reliability of the sampling survey result. This paper studied the non-sampling errors generated during the sampling process of the China National Human Biomonitoring Program(CNBP), mainly including the sampling frame error, non-response error and measurement error. The program reduced the influence of the non-sampling error on the quality of the survey effectively by scientifically designing the sampling scheme and questionnaire, strengthening investigator trainings and standardizing the data review, which could be used to provide reference for the control of non-sampling errors in public health monitoring projects in China.
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Affiliation(s)
- Y L Qu
- National Institute of Environmental Health, Chinese center For Disease Control And Prevention, Beijing 100050, China
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