Dataset Information

China industrial environmental database 1998-2015.

ABSTRACT: There has been a rapid-growing trend in studying China's environmental problems in the past decade. However, the existing environmental statistics data are far from meeting researchers' requirements. The biggest problem is that the official environmental statistics data are only provided at either regional level or sectoral level. Considering the huge heterogeneities in different regions and sectors, researchers are unable to conduct comprehensive policy evaluations. In this study, we constructed the time-series industrial environmental database for China (CIED) at both regional and sectoral level. The database includes totally 31 regions and four types of pollutants: chemical oxygen demand (COD), sulphur dioxide (SO₂), ammonia-nitrogen (NH₃-N), and nitrogen oxide (NO_X). This study also clarifies several important concepts for researchers to better understand China's official environmental statistics data.

SUBMITTER: Qian H

PROVIDER: S-EPMC9160261 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

China industrial environmental database 1998-2015.

Qian Haoqi H Ren Feizhou F Gong Yanran Y Ma Rong R Wei Wendong W Wu Libo L

Scientific data 20220601 1

There has been a rapid-growing trend in studying China's environmental problems in the past decade. However, the existing environmental statistics data are far from meeting researchers' requirements. The biggest problem is that the official environmental statistics data are only provided at either regional level or sectoral level. Considering the huge heterogeneities in different regions and sectors, researchers are unable to conduct comprehensive policy evaluations. In this study, we constructe ...[more]

PMID: 35650216

Similar Datasets

Project description:BackgroundMedication safety during pregnancy has drawn global attention, little of which has been reported about the Chinese population. This study aims to describe patterns and risks of medication use among pregnant women in mainland China with reference to the U.S. Food and Drug Administration (FDA) pregnancy risk category.MethodsHospital diagnostic and drug dispensing information of a national representative sample of basic medical insurance (BMI) beneficiaries was obtained from the China Health Insurance Association (CHIRA) database in 2015. Prevalence of use and number of medicines involved in each risk category were calculated. Most commonly used medicines from each risk category were illustrated. Factors associated with the use of category D/X medicines were evaluated through multiple logistic regression.ResultsOut of 11,373 women who had singleton deliveries in 2015, there were 2896 women with records covering their entire pregnancies, 5377, and 7946 women with records through the 2nd, and the 3rd trimester, respectively. It was found that 11.1% pregnant women used at least one medication and a total of 321 medications had been used during pregnancy. Most pregnant women used medicines which were classified FDA category C (66.2%), followed by category B (57.8%), category A (16.8%), category X (7.5%) and category D (5.0%). The most commonly used medicines from category D and X were anxiolytics and hormonal preparations respectively. Women who were from mid-western area (p = 0.045) or used four or more medications (p < 0.001) were more likely to use category D/X medicines.ConclusionsThis study revealed that about one in ten pregnant women used at least one medication during pregnancy in China and a significant number of them used FDA Category D or X medicines. The usage patterns identified in the present study indicate that sub-optimal medicine use might exist warranting further evaluation and intervention in future studies. More efforts are needed to uncover the safety concerns about medication use during pregnancy and improve current information system for clinical practice.

Dataset Information

China industrial environmental database 1998-2015.

Publications

China industrial environmental database 1998-2015.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets