
FOLLOWUS
1. 1Law School, Beijing Normal University, Beijing 100875, China
2. 2National Population Heath Data Center, Chinese Academy of Medical Sciences, Beijing 100730, China
3. 3China Population and Development Research Center, National Health Commission, Beijing 100081, China
4. 4Migrant Population Service Center, National Health Commission, Beijing 100088, China
*陈晶 okokok_cj@163.com;
周伟 rkjkpt@pumc.edu.cn
收稿日期:2022-07-13,
录用日期:2022-9-6,
网络出版日期:2022-11-01,
纸质出版日期:2022-09-30
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张胜发, 罗葳, 马玉环, 等. 中国流动人口常见疾病及其影响因素:2017年横断面调查数据集[J]. 中国医学科学杂志(英文版), 2022,37(3):234-239.
Shengfa Zhang, Wei Luo, Yuhuan Ma, et al. A National Cross-Sectional Survey Dataset on Common Disease and Influencing Factors of Chinese Internal Migrants in 2017[J]. Chinese medical sciences journal, 2022, 37(3): 234-239.
张胜发, 罗葳, 马玉环, 等. 中国流动人口常见疾病及其影响因素:2017年横断面调查数据集[J]. 中国医学科学杂志(英文版), 2022,37(3):234-239. DOI: 10.24920/004143.
Shengfa Zhang, Wei Luo, Yuhuan Ma, et al. A National Cross-Sectional Survey Dataset on Common Disease and Influencing Factors of Chinese Internal Migrants in 2017[J]. Chinese medical sciences journal, 2022, 37(3): 234-239. DOI: 10.24920/004143.
本文描述了2017年中国流动人口常见疾病及其影响因素的全国性横断面调查数据集。该调查是2017年中国流动人口卫生计生动态监测调查(一项针对全国流动人口的年度大规模全国性调查)的一个重要组成部分。调查以15岁以上的流动人口及本地户籍人口为调查对象
根据2016年中国流动人口年报数据为抽样框
采用分层、多阶段、与规模成比例的概率比例规模抽样法(probability-proportional-to-size sampling
PPS)。数据集中获得的抽样人群包括来自国内8个城市的13
998名流动人口和14
000名本地户籍居民。该调查搜集调查对象及其家庭成员的人口学信息、流动或居住意向、健康状况、医疗卫生服务、社会融合状况、包括高血压、2型糖尿病、腹泻、发热、皮疹、黄疸、结膜发红、感冒等身体损害在内的常见疾病患病情况以及其相关影响因素的信息。该数据集是中国调查流动人口常见疾病及其影响因素的规模最大和最具代表性的数据集
可用于研究中国流动人口常见疾病的患病情况及其影响因素
并为政府改善流动人口的医疗服务可及性和公共卫生服务公平性提供数据支持。
This data article describes the dataset from a national cross-sectional questionnaire survey on Chinese internal migrants in 2017. The survey was part of the Chinese Migrants Dynamic Survey
which is an annually conducted large-scale national questionnaire survey on internal migrants. The respondents in the described dataset were migrants and registered local residents aged over 15 years old. A multistage stratified probability-proportional-to-size (PPS) sampling method based on the 2016 annual report data of China Migrant Population was adopted. The questionnaire was designed to collect demographic information of respondents and their family members
intention of migration or settlement
health status
health services accessibility
social integration
and epidemic influencing factors of common diseases
including hypertension
type 2 diabetes
diarrhea
fever
rash
icterus
conjunctival redness
cold
and other illnesses or injuries. The sample population in this survey include 13
998 internal migrants and 14
000 registered local residents from eight domestic cities / prefecture / districts across China. It is the most widely covering and highly representative dataset on common diseases and influencing factors of internal migrants in China. The dataset can be used to study common diseases and influencing factors among floating Chinese population. It provides data support for government to improve healthcare accessibility and the equity of public health services for internal migrants in China.
Yu X , Liang J , Zhang Y . Air pollution and settlement intention: evidence from the China migrants dynamic survey . Int J Environ Res Public Health 2022 ; 19 ( 8 ): 4924 . doi: 10.3390/ijerph19084924 https://dx.doi.org/10.3390/ijerph19084924 DOI: 10.3390/ijerph19084924 http://doi.org/10.3390/ijerph19084924 https://www.mdpi.com/1660-4601/19/8/4924 https://www.mdpi.com/1660-4601/19/8/4924
Migrant Population Service Center NHCPRC . Special survey on health and family planning dynamic monitoring of migrants in china-survey data on epidemic factors of key diseases in eight cities (2017) [dataset] . National Population Health Data Center (NPHDC) and Population Health Data Archive (PHDA) 2019 . Available from: https://www.ncmi.cn/phda/dataDetails.do?id=CSTR:A0006.11.A000T.201906.000570-V1.0 https://www.ncmi.cn/phda/dataDetails.do?id=CSTR:A0006.11.A000T.201906.000570-V1.0 https://www.ncmi.cn/phda/dataDetails.do?id=CSTR:A0006.11.A000T.201906.000570-V1.0. Accessed: September 15, 2022 . doi: 10.12213/11.A000T.201906.000570 https://dx.doi.org/10.12213/11.A000T.201906.000570 . DOI: 10.12213/11.A000T.201906.000570 http://doi.org/10.12213/11.A000T.201906.000570
Zhu Z , Guo M , Petrovsky DV , et al. Age and regional disparity in HIV education among migrants in China: migrants population dynamic monitoring survey, 2014-2015 . Int J Equity Health 2019 ; 18 ( 1 ): 104 . doi: 10.1186/s12939-019-0999-x https://dx.doi.org/10.1186/s12939-019-0999-x . DOI: 10.1186/s12939-019-0999-x http://doi.org/10.1186/s12939-019-0999-x
Zhu Z , Guo M , Dong T , et al. Do migrants receive tuberculosis education in China? Evidence from the China migrants dynamic survey . Health Educ Behav 2021 ; 10901981211000309. doi: 10.1177/10901981211000309 https://dx.doi.org/10.1177/10901981211000309 . DOI: 10.1177/10901981211000309 http://doi.org/10.1177/10901981211000309
Migrant Population Service Center NHCPRC . Health data Dynamic Monitoring on Health and Family planning of Chinese Migrants from 2009 to 2017 [dataset] . National Population Heath Data Center PHDA 2019 . Available from: https://www.ncmi.cn/phda/dataDetails.do?id=CSTR:A0006.11.A000T.201906.000225 https://www.ncmi.cn/phda/dataDetails.do?id=CSTR:A0006.11.A000T.201906.000225 https://www.ncmi.cn/phda/dataDetails.do?id=CSTR:A0006.11.A000T.201906.000225. Accessed: September 15, 2022 . doi: 10.12213/11.A000T.201906.000225 https://dx.doi.org/10.12213/11.A000T.201906.000225 . DOI: 10.12213/11.A000T.201906.000225 http://doi.org/10.12213/11.A000T.201906.000225
Yang Z , Jiang CH , Hu J . Moderating effects of regional disparities on the relationship between individual determinants and public health service utilization among internal migrants: evidence from the China migrant dynamic survey in 2017 . BMC Public Health 2022 ; 22 ( 1 ): 564 . doi: 10.1186/s12889-022-12870-1 https://dx.doi.org/10.1186/s12889-022-12870-1 . DOI: 10.1186/s12889-022-12870-1 http://doi.org/10.1186/s12889-022-12870-1
Huang W , He L , Lan H . The impact of self-employment on the health of migrant workers: evidence from China migrants dynamic survey . Int J Environ Res Public Health 2022 ; 19 ( 10 ): 5856 . doi: 10.3390/ijerph19105868 https://dx.doi.org/10.3390/ijerph19105868 . DOI: 10.3390/ijerph19105868 http://doi.org/10.3390/ijerph19105868 https://www.mdpi.com/1660-4601/19/10/5856 https://www.mdpi.com/1660-4601/19/10/5856
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