A National Cross-Sectional Survey Dataset on Common Disease and Influencing Factors of Chinese Internal Migrants in 2017.

Sheng-fa Zhang; Wei Luo; Yu-huan MA; Zhi-li Wang; Jing Chen; Fang Zhou; Xiao-yu Zhang; Wei Zhou

Return

A National Cross-Sectional Survey Dataset on Common Disease and Influencing Factors of Chinese Internal Migrants in 2017.

Author: Sheng-Fa ZHANG ¹ ; Wei LUO ² ; Yu-Huan MA ² ; Zhi-Li WANG ³ ; Jing CHEN ⁴ ; Fang ZHOU ⁴ ; Xiao-Yu ZHANG ² ; Wei ZHOU ²
Author Information

1. Law School, Beijing Normal University, Beijing 100875, China.
2. National Population Heath Data Center, Chinese Academy of Medical Sciences, Beijing 100730, China.
3. China Population and Development Research Center, National Health Commission, Beijing 100081, China.
4. Migrant Population Service Center, National Health Commission, Beijing 100088, China.
Publication Type:Journal Article
Keywords: China; common diseases; floating population; health services; influencing factors; population survey
MeSH: Humans; Aged; Adolescent; Transients and Migrants; Cross-Sectional Studies; Diabetes Mellitus, Type 2; China/epidemiology*; Health Status
From: Chinese Medical Sciences Journal 2022;37(3):234-239
CountryChina
Language:English
Abstract: 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.