Impact of the environment on the health: From theory to practice

Urban environmental monitoring and health risk assessment introducing a fuzzy intelligent computing model

Introduction

To enhance the precision of evaluating the impact of urban environments on resident health, this study introduces a novel fuzzy intelligent computing model designed to address health risk concerns using multi-media environmental monitoring data.

Methods

Three cities were selected for the study: Beijing (B City), Kunming (K City), and Wuxi (W City), representing high, low, and moderate pollution levels, respectively. The study employs a Fuzzy Inference System (FIS) as the chosen fuzzy intelligent computing model, synthesizing multi-media environmental monitoring data for the purpose of urban health risk assessment.

Results

(1) The model reliably estimates health risks across diverse cities and environmental conditions. (2) There is a positive correlation between PM2.5 concentrations and health risks, though the impact of noise levels varies by city. In cities B, K, and W, the respective correlation coefficients are 0.65, 0.55, and 0.7. (3) The Root Mean Square Error (RMSE) values for cities B, K, and W, are 0.0132, 0.0125, and 0.0118, respectively, indicating that the model has high accuracy. The R2 values for the three cities are 0.8963, 0.9127, and 0.9254, respectively, demonstrating the model's high explanatory power. The residual values for the three cities are 0.0087, 0.0075, and 0.0069, respectively, indicating small residuals and demonstrating robustness and adaptability. (4) The model's p-values for the Indoor Air Quality Index (IAQI), Thermal Comfort Index (TCI), and Noise Pollution Index (NPI) all satisfy p < 0.05 for the three cities, affirming the model's credibility in estimating health risks under varied urban environments.

Discussion

These results showcase the model's ability to adapt to diverse geographical conditions and aid in the accurate assessment of existing risks in urban settings. This study significantly advances environmental health risk assessment by integrating multidimensional data, enhancing the formulation of comprehensive environmental protection and health management strategies, and providing scientific support for sustainable urban planning.

Identifying the determinants of face mask disposal behavior and policy implications: An application of the extended theory of planned behavior

A study in Nigeria examined the psychological factors affecting face mask disposal behavior (DB) during the COVID-19 pandemic. The Theory of Planned Behavior (TPB) was used, with awareness of consequences and institutional barriers added. 1183 respondents completed an online survey, and structural equation modeling was used to analyze the data. The original TPB model revealed that attitudes, perceived behavioral control, and subjective norms explained 65% of the variance in respondents' behavior. Behavioral intention and perceived behavioral control accounted for 59.3% of the variance in DB. The extended TPB model, which included awareness of consequences and perceived institutional barriers, improved the model's explanatory power by 12.8%. Both TPB models adequately predicted face mask (FM) disposal behavior, with implications for policymakers and waste management authorities to design interventions to promote proper FM disposal behavior.

Impacts of health expenditures and environmental degradation on health status—Disability-adjusted life years and infant mortality

Introduction

Human health and well-being are intimately related to environmental quality. In this respect, the present study contributes to the existing health economic literature by examining whether public and private health expenditures (PPHE) moderate the incidences of environmental degradation on the health status in Saudi Arabia, particularly disability-adjusted life years (DALYs) and infant mortality.

Methods

Using the fully modified ordinary least squares (FMOLS) method.

Results and Discussion

The empirical results revealed that (i) unconditional positive impacts of CO2 emissions on increasing DALYs and infant mortality; (ii) conditional negative impacts of public health expenditures on DALYs and infant mortality in all the estimated models, whereas global and private expenditure contribute only on reducing infant mortality; (iii) public health expenditure is more effective than private health expenditure in reducing infant mortality; (iv) the effects of the interactions between the indicators of both health expenditures and CO2 emissions on DALYs and infant mortality are negative and significant only for the specifications relating to public health expenditures, indicating that this later could be employed as a policy or conditional variable that moderates the adverse impacts of carbon emissions on the population’s health status. Generally, the study presents an overview of environmental health change’s effects and examine how these effects may be reduced through increasing health spending. The study provides recommendations for addressing health status, health expenditures, and carbon emissions, all of which are directly or indirectly linked to the study.

Wireless technology is an environmental stressor requiring new understanding and approaches in health care

Electromagnetic signals from everyday wireless technologies are an ever-present environmental stressor, affecting biological systems. In this article, we substantiate this statement based on the weight of evidence from papers collated within the ORSAA database (ODEB), focusing on the biological and health effects of electromagnetic fields and radiation. More specifically, the experiments investigating exposures from real-world devices and the epidemiology studies examining the effects of living near mobile phone base stations were extracted from ODEB and the number of papers showing effects was compared with the number showing no effects. The results showed that two-thirds of the experimental and epidemiological papers found significant biological effects. The breadth of biological and health categories where effects have been found was subsequently explored, revealing hundreds of papers showing fundamental biological processes that are impacted, such as protein damage, biochemical changes and oxidative stress. This understanding is targeted toward health professionals and policy makers who have not been exposed to this issue during training. To inform this readership, some of the major biological effect categories and plausible mechanisms of action from the reviewed literature are described. Also presented are a set of best practice guidelines for treating patients affected by electromagnetic exposures and for using technology safely in health care settings. In conclusion, there is an extensive evidence base revealing that significant stress to human biological systems is being imposed by exposure to everyday wireless communication devices and supporting infrastructure. This evidence is compelling enough to warrant an update in medical education and practice.

Effect of The Development Level of Facilities for Forest Tourism on Tourists’ Willingness to Visit Urban Forest Parks

The importance of facilities for forest tourism to the development of forest tourism has been mentioned in many studies, but there is a lack of quantitative and specific research. In order to specifically study the effect of facilities for forest tourism on the development of forest tourism, a theoretical path from the cognition of the development level of facilities for forest tourism to the willingness of tourists to visit urban forest parks was constructed based on the perceived value theory. Then, the process and significance of the influence were quantitatively calculated by using a structural equation model (SEM). The results show that: (1) Cognition of the development level of facilities for forest tourism has a significant positive effect on the perceived value of landscape resources, the perceived value of the ecological environment, and tourists’ satisfaction. (2) The perceived value of the ecological environment has a significant positive effect on tourists’ satisfaction. (3) Tourists’ satisfaction has a significant positive effect on tourists’ willingness to visit urban forest parks. (4) The perceived value of landscape resources has no significant effect on tourists’ satisfaction. (5) The variety, layout, and advancement of facilities for forest tourism have a significant positive effect on the cognition of the development level of facilities for forest tourism, among which the layout has the most significant effect, followed by advancement and finally variety. We suggest that, when building facilities for forest tourism, tourists’ feelings and satisfaction should be the primary considerations.

Modifiable personal and environmental factors associated with anxiety in family caregivers of children with disabilities: A comparison between parents and grandparents

BACKGROUND

Caregivers of children with disabilities might face high risk of anxiety, but the specific influencing factors may be different between parents and grandparents. This study is to explore the influencing modifiable factors from personal and environmental dimensions, so as to provide practical reference for effectively preventing and alleviating anxiety of this population.

METHODS

A total of 504 primary caregivers were investigated in Shanghai, China, of which 496 parents and grandparents were included in the analysis. Risk of anxiety was measured by the Generalized Anxiety Disorder 7-item (GAD-7) Scale. Descriptive statistics, univariate analysis, and multivariable logistic regression were performed to describe the personal and environmental characteristics of parents and grandparents, risk of anxiety, and identify the significant factors.

RESULTS

35.1% of the total caregivers had the risk of anxiety, parents (35.8%) were slightly more anxious than grandparents (33.1%). Among parents, children's stable emotion (AOR=0.263, 95% CI=0.113, 0.611), higher household income (AOR=0.664; 95% CI=0.519, 0.850), owning a house (AOR=0.326; 95% CI=0.174, 0.610), and better barrier-free construction (AOR=0.400; 95% CI=0.170, 0.941) were associated with lower odds of anxiety. As for grandparents, significant association was merely found in caregiving time (AOR=2.936; 95% CI=1.064, 8.107).

LIMITATIONS

Given the cross-sectional design, we would not infer causal relationships.

CONCLUSIONS

Anxiety among family caregivers of children with disabilities was not encouraging and need to be urgently concerned. To reach optimal efficiency, intergenerational differences should be considered when health care providers and policy makers taking measures to facilitate the mental health of this population.

The Water Safety Plan Approach: Application to Small Drinking-Water Systems-Case Studies in Salento (South Italy)

BACKGROUND

The quality of water for human consumption is an objective of fundamental importance for the defense of public health. Since the management of networks involves many problems of control and efficiency of distribution, the Water Safety Plan (WSP) was introduced to address these growing problems.

METHODS

WSP was applied to three companies in which the water resource assumes central importance: five water kiosks, a third-range vegetable processing company, and a residence and care institution. In drafting the plan, the terms and procedures designed and tested for the management of urban distribution systems were applied to safeguard the resource over time.

RESULTS

The case studies demonstrated the reliability of the application of the model even to small drinking-water systems, even though it involved a greater effort in analyzing the incoming water, the local intended use, and the possibilities for managing the containment of the dangers to which it is exposed. This approach demonstrates concrete effectiveness in identifying and mitigating the dangers of altering the quality of water.

CONCLUSIONS

Thanks to the WSP applied to small drinking-water systems, we can move from management that is focused mainly on verifying the conformity of the finished product to the creation of a global risk assessment and management system that covers the entire water supply chain.