7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Influences of Migrant Construction Workers’ Environmental Risk Perception on Their Physical and Mental Health: Evidence from China

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Employing Chinese General Social Survey 2013 data ( N = 678), this study examines the influences of migrant construction workers’ environmental risk perception (ERP) on their physical and mental health. The ERP of migrant construction workers is characterized by six dimensions: perceptions of air pollution, industrial waste pollution and noise pollution at working sites, and perceptions of domestic waste pollution, water pollution and food pollution at living sites. The results indicate that migrant construction workers with stronger ERP have better physical and mental health. The results also suggest the influences of ERP on the physical and mental health of migrant construction workers with different gender and age (<50 and ≥50 years) are heterogeneous. Perceptions of industrial waste pollution, noise pollution and domestic waste pollution significantly affect female workers’ physical health, but not that of male workers. The six dimensions of ERP all significantly influence male workers’ mental health, while except for domestic waste pollution perception, the other perceptions do not influence that of female workers. Perceptions of air pollution, domestic waste pollution, and water pollution significantly influence physical health of workers aged 50 and above, while those of ERP do not work on that of workers younger than 50. Perception of food pollution significantly influences mental health of workers younger than 50, but not that of workers aged 50 and above. The seemingly unrelated regression shows the results in this paper are robust.

          Related collections

          Most cited references91

          • Record: found
          • Abstract: found
          • Article: not found

          Health risk assessment of heavy metal exposure to street dust in the zinc smelting district, Northeast of China.

          Heavy metal contamination in the street dust due to metal smelting in the industrial district of Huludao city was investigated. Spatial distribution of Hg, Pb, Cd, Zn and Cu in the street dust was elucidated. Meanwhile, noncancer effect and cancer effect of children and adults due to exposure to the street dust were estimated. The maximum Hg, Pb, Cd, Zn and Cu contents in the street dust are 5.212, 3903, 726.2, 79,869, and 1532 mg kg(-1), and respectively 141, 181, 6724, 1257 and 77.4 times as high as the background values in soil. The trends for Hg, Pb, Cd, Zn and Cu are similar with higher concentrations trending Huludao zinc plant (HZP). The exponential equation fits quite well for the variations of Pb, Cd, Zn and Cu contents with distance from the pollution sources, but not for Hg. The biggest contribution to street dust is atmospheric deposition due to metal smelting, but traffic density makes slight contribution to heavy metal contamination. According to the calculation on Hazard Index (HI), in the case of noncancer effect, the ingestion of dust particles of children and adults in Huludao city appears to be the route of exposure to street dust that results in a higher risk for heavy metals, followed by dermal contact. The inhalation of resuspended particles through the mouth and nose is almost negligible. The inhalation of Hg vapour as the fourth exposure pathway to street dust is accounting for the main exposure. Children are experiencing the potential health risk due to HI for Pb larger than safe level (1) and Cd close to 1. Besides, cancer risk of Cd due to inhalation exposure is low. Copyright 2009 Elsevier B.V. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Happiness in the Air: How Does a Dirty Sky Affect Mental Health and Subjective Well-being?

            Previous studies evaluating the welfare cost of air pollution have not paid much attention to its potential effect on mental health and subjective well-being (SWB). This paper attempts to fill the gap by investigating the impact of air pollution on several key dimensions, including mental health status, depressive symptoms, moment-to-moment happiness, and evaluative happiness. We match a nationwide longitudinal survey in China with local air quality and rich weather conditions according to the exact time and place of survey. By making use of variations in exposure to air pollution for the same individuals over time, we show that air pollution reduces hedonic happiness and increases the rate of depressive symptoms, while life satisfaction has little to do with the immediate air quality. Our results shed light on air pollution as an important contributor to the Easterlin paradox that economic growth may not bring more happiness.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak

              This study investigates the possible association between social media usage and the mental health toll from the coronavirus at the peak of Wuhan's COVID-19 outbreak. Informed by the Crisis and Emergency Risk Communication Model and Health Belief Model, it proposes a conceptual model to study how people in Wuhan – the first epicenter of the global COVID-19 pandemic – used social media and its effects on users' mental health conditions and health behavior change. The results show that social media usage was related to both depression and secondary trauma, which also predicted health behavior change. But no relation was detected between health behavior change and mental health conditions. As the virus struck, social media usage was rewarding to Wuhan people who gained informational, emotional, and peer support from the health information shared on social media. An excessive use of social media, however, led to mental health issues. The results imply that taking a social media break may promote well-being during the pandemic, which is crucial to mitigating mental health harm inflicted by the pandemic.
                Bookmark

                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                12 October 2020
                October 2020
                : 17
                : 20
                : 7424
                Affiliations
                [1 ]Department of Accounting, School of Management, Sichuan Agricultural University, Chengdu 611130, China; s20175706@ 123456stu.sicau.edu.cn
                [2 ]Department of Labor and Social Security, School of Public Administration, Sichuan University, Chengdu 610065, China
                Author notes
                [* ]Correspondence: luohw888@ 123456126.com (H.L.); yangfan1987@ 123456scu.edu.cn (F.Y.); Tel.: +86-180-3063-0925 (H.L.); +86-187-8017-7364 (F.Y.)
                Author information
                https://orcid.org/0000-0002-2012-5500
                https://orcid.org/0000-0003-2978-7102
                Article
                ijerph-17-07424
                10.3390/ijerph17207424
                7601608
                33053832
                6dfb9496-80e4-4627-89aa-e708be5a894c
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 September 2020
                : 11 October 2020
                Categories
                Article

                Public health
                migrant construction worker,risk perception,physical health,mental health,environmental welfare

                Comments

                Comment on this article