Does Individuals' Perception of Wastewater Pollution Decrease Their Self-Rated Health? Evidence from China

Int J Environ Res Public Health. 2022 Jun 14;19(12):7291. doi: 10.3390/ijerph19127291.

Abstract

Background: This study used original survey data to quantitatively investigate the associations between individuals’ perception of locally present wastewater pollution and their self-rated health. Methods: This research used the data from large-scale surveys covering all the 31 provinces and equivalent administrative units in mainland China and interviewed 6112 participants. The ordered logit method was employed to estimate the models. Results: The results indicated that individuals’ perceptions of local industrial and domestic wastewater pollution significantly decrease their self-rated health. If industrial wastewater pollution was reported, the possibility of the observers indicating lower levels of self-rated current health, comparing to the past year, and comparing with peers, all increased by 26% (p < 0.001), 23% (p = 0.005), and 18% (p = 0.006), respectively. Likewise, perceived domestic wastewater pollution led to the increase by 21% (p = 0.012), 17% (p = 0.034), and 33% (p = 0.000), respectively. Meanwhile, reported industrial wastewater pollution also has an obvious negative effect on individuals’ health performance, such as being more fatigued and upset. Conclusions: The survey clearly shows that Chinese individuals who are aware of water pollution in their living environment tend to experience more negative health outcomes, which adds additional urgency to improving wastewater treatment.

Keywords: China; industrial (agricultural/domestic) wastewater; perception of environmental risk; self-rated health; wastewater pollution.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Humans
  • Perception
  • Wastewater* / analysis
  • Water Pollution
  • Water Purification*

Substances

  • Waste Water

Grants and funding

This research is fully funded by China Postdoctoral Science Foundation (Fund No. 2018M640156); National Ethnic Affairs Commission of the People’s Republic of China (Training Program for Young and Middle-aged Talents, No.2020000219); the research is also supported by “The Fundamental Research Funds for the Central Universities” (Fund No. 2021GDZC08).