On the significance of the climate-dataset time resolution in characterising wind-driven rain and simultaneous wind pressure. Part I: scalar approach

Abstract

The joint action of wind-driven rain and wind pressure is the main cause of water penetration in building facades, which causes various habitability and durability problems. The most widespread characterisation of both climate factors is based on exposure indices calculated in free-field conditions from records of precipitation—wind speed (scalar indices), adding wind direction for directional indices. The time resolution of this climate dataset defines the calculation effort and the accuracy obtained, and average daily, monthly, or annual records are typical due to their greater availability. This paper investigates the influence of this time resolution on the accuracy of these scalar exposure indices (driving rain index, hereafter aDRI, and driving-rain wind pressure, hereafter DRWP) by assessing the nature and magnitude of errors associated with different averaged records. For this purpose, 10-min, hourly, daily, monthly and annual meteorological data collected over 15 years in 6 Spanish weather stations at locations characterised by different environments and topography are analysed. In addition, relationships capable of adjusting indices of any time resolution to an accuracy similar to that reached through 10-min records are proposed. In general, the value of driving-rain wind pressure exhibits greater sensitivity than the driving rain index at this time resolution, incorporating significant errors even with daily datasets. In turn, the use of monthly and annual records should be reconsidered, given their high uncertainty. The results demonstrate how the daily datasets for aDRI indices and hourly datasets for DRWP values are sufficient to characterise these exposures with errors of less than 11%.

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IJERPH, Vol. 14, Pages 1326: Geographical Variations in the Environmental Determinants of Physical Inactivity among U.S. Adults

IJERPH, Vol. 14, Pages 1326: Geographical Variations in the Environmental Determinants of Physical Inactivity among U.S. Adults

International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14111326

Authors: Ruopeng An Xinye Li Ning Jiang

Physical inactivity is a major modifiable risk factor for morbidity, disability and premature mortality worldwide. This study assessed the geographical variations in the impact of environmental quality on physical inactivity among U.S. adults. Data on county-level prevalence of leisure-time physical inactivity came from the Behavioral Risk Factor Surveillance System. County environment was measured by the Environmental Quality Index (EQI), a comprehensive index of environmental conditions that affect human health. The overall EQI consists of five subdomains—air, water, land, social, and built environment. Geographically weighted regressions (GWRs) were performed to estimate and map county-specific impact of overall EQI and its five subdomains on physical inactivity prevalence. The prevalence of leisure-time physical inactivity among U.S. counties was 25% in 2005. On average, one standard deviation decrease in the overall EQI was associated with an increase in county-level prevalence of leisure-time physical inactivity by nearly 1%. However, substantial geographical variations in the estimated environmental determinants of physical inactivity were present. The estimated changes of county-level prevalence of leisure-time physical inactivity resulted from one standard deviation decrease of the overall EQI ranged from an increase of over 3% to a decrease of nearly 2% across U.S. counties. Analogous, the estimated changes of county-level prevalence of leisure-time physical inactivity resulted from one standard deviation decrease of the EQI air, water, land, social, and built environment subdomains ranged from an increase of 2.6%, 1.5%, 2.9%, 3.3%, and 1.7% to a decrease of 2.9%, 1.4%, 2.4%, 2.4%, and 0.8% across U.S. counties, respectively. Given the substantial heterogeneities in the environmental determinants of physical inactivity, locally customized physical activity interventions are warranted to address the most concerning area-specific environmental issue.

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Sequential information gathering schemes for spatial risk and decision analysis applications

Abstract

Several risk and decision analysis applications are characterized by spatial elements: there are spatially dependent uncertain variables of interest, decisions are made at spatial locations, and there are opportunities for spatial data acquisition. Spatial dependence implies that the data gathered at one coordinate could inform and assist a decision maker at other locations as well, and one should account for this learning effect when analyzing and comparing information gathering schemes. In this paper, we present concepts and methods for evaluating sequential information gathering schemes in spatial decision situations. Static and sequential information gathering schemes are outlined using the decision theoretic notion of value of information, and we use heuristics for approximating the value of sequential information in large-size spatial applications. We illustrate the concepts using a Bayesian network example motivated from risks associated with CO2 sequestration. We present a case study from mining where there are risks of rock hazard in the tunnels, and information about the spatial distribution of joints in the rocks may lead to a better allocation of resources for choosing rock reinforcement locations. In this application, the spatial variables are modeled by a Gaussian process. In both examples there can be large values associated with adaptive information gathering.

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IJERPH, Vol. 14, Pages 1318: Molecular Analysis of the SRD5A1 and SRD5A2 Genes in Patients with Benign Prostatic Hyperplasia with Regard to Metabolic Parameters and Selected Hormone Levels

IJERPH, Vol. 14, Pages 1318: Molecular Analysis of the SRD5A1 and SRD5A2 Genes in Patients with Benign Prostatic Hyperplasia with Regard to Metabolic Parameters and Selected Hormone Levels

International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14111318

Authors: Aleksandra Rył Iwona Rotter Anna Grzywacz Iwona Małecka Karolina Skonieczna-Żydecka Katarzyna Grzesiak Marcin Słojewski Aleksandra Szylińska Olimpia Sipak-Szmigiel Małgorzata Piasecka Kinga Walczakiewicz Maria Laszczyńska

Introduction: The etiology of benign prostatic hyperplasia (BPH) has not so far been fully explicated. However, it is assumed that changes in the levels of hormones associated with aging can contribute to the development of prostatic hyperplasia. Dihydrotestosterone combines with the androgen receptor (AR) proteins of the prostate gland. Enzyme activity is based on two isoenzymes: type 1 and type 2. 5α-reductase type 1 is encoded by the SRD5A1 gene, and type 2 is encoded by the SRD5A2 gene. The aim of our study was to determine the frequency of the SRD5A1 (rs6884552, rs3797177) and SRD5A2 (rs523349, rs12470143) genes' polymorphisms, and to assess the relationships between the genotypes of the tested mutations, and the levels of biochemical and hormonal parameters in patients with BPH. Material and Methods: The study involved 299 men with benign prostatic hyperplasia. We determined the serum levels of particular biochemical parameters—fasting plasma glucose (FPG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL) and triglycerides (TG)—by the spectrophotometric method, using ready reagent kits. The ELISA method was used to determine the levels of the following hormonal parameters and proteins: total testosterone (TT), free testosterone (FT), insulin (I), luteinizing hormone (LH), and sex hormone binding protein (SHBG). Metabolic syndrome was diagnosed. Genotyping was performed by real-time PCR. Results: We analyzed the relationships between the incidence of particular diseases and the genotypes of the SRD5A1 and SRD5A2 polymorphisms among patients with BPH. The BPH patients with the CC genotype of the SRD5A2 rs523349 and rs12470143 polymorphisms were considerably less frequently diagnosed with metabolic syndrome (MetS) (p = 0.022 and p = 0.023 respectively). Our analysis revealed that homozygotes with the CC of the SDR5A2 rs12470143 polymorphism had visibly higher HDL levels than those with the TT and CT genotypes (p = 0.001). Additionally, we found that the patients with the CC genotype of the SDR5A2 rs12470143 polymorphism had considerably higher FT levels (p = 0.001) than the heterozygotes with the CT and the homozygotes with the TT of the genetic variant analyzed in our study. Furthermore, the patients with at least one G allele of the SRD5A2 rs523349 polymorphism had significantly lower SGBG levels (p = 0.022) compared with the homozygotes with the CC genotype. The presence of at least one A allele (AA + AG genotypes) of the SRD5A1 rs3797177 polymorphism entailed notably lower serum insulin levels than those observed in homozygotes with the GG genotype (p = 0.033). Conclusions: The study described in this article shows that selected SRD5A1 and SRD5A2 polymorphisms can alter the levels of metabolic and hormonal parameters in patients with BPH. Special attention should be paid to the SDR5A2 rs12470143 polymorphism, which is associated with a change in lipid profile, as well as with the inheritance and incidence rate of MetS among these patients. An analysis of the frequency of this polymorphism among BPH patients could be useful in estimating the risk of getting ill, and planning therapies of concomitant diseases for BPH patients.

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IJERPH, Vol. 14, Pages 1322: Association between Eating Out and Socio-Demographic Factors of University Students in Chongqing, China

IJERPH, Vol. 14, Pages 1322: Association between Eating Out and Socio-Demographic Factors of University Students in Chongqing, China

International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14111322

Authors: Ping Hu Tingting Wu Fan Zhang Yan Zhang Lu Lu Huan Zeng Zu-min Shi Manoj Sharma Lei Xun Yong Zhao

(1) Objective: We aimed to explore the current situation of eating out and the association with socio-demographic factors of university students in Chongqing, China. (2) Methods: We used self-administered questionnaires to collect information. There are 14 universities in Chongqing; four (Chongqing Medical University, Chongqing University, Chongqing Normal University, and Chongqing University of Science & Technology) were randomly selected. In each selected university, two disciplines were randomly selected. (3) Results: 4595 university students participated in the study. The frequency of eating out was relatively high. The frequency of eating out among females was higher than that among males during weekdays. The two main reasons for eating out were having an opportunity to meet friends (56.0%) and improving diet (39.6%). Bistros (61.7%) and hot-pot restaurants (41.1%) were the favorite places for eating out. Only 36.0% of the participants said they considered nutrition and food safety when selecting restaurants. The majority of the participants demonstrated a high demand for nutrition and food safety knowledge when eating out (77.7%). (4) Conclusions: The higher the monthly living expenses were, the higher the frequency of eating out was. An intervention strategy to reduce the frequency or change the behavior of eating out should be formulated by considering the students' perspectives.

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IJERPH, Vol. 14, Pages 1321: Spatiotemporal Changes in Fine Particulate Matter Pollution and the Associated Mortality Burden in China between 2015 and 2016

IJERPH, Vol. 14, Pages 1321: Spatiotemporal Changes in Fine Particulate Matter Pollution and the Associated Mortality Burden in China between 2015 and 2016

International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14111321

Authors: Luwei Feng Bo Ye Huan Feng Fu Ren Shichun Huang Xiaotong Zhang Yunquan Zhang Qingyun Du Lu Ma

In recent years, research on the spatiotemporal distribution and health effects of fine particulate matter (PM2.5) has been conducted in China. However, the limitations of different research scopes and methods have led to low comparability between regions regarding the mortality burden of PM2.5. A kriging model was used to simulate the distribution of PM2.5 in 2015 and 2016. Relative risk (RR) at a specified PM2.5 exposure concentration was estimated with an integrated exposure–response (IER) model for different causes of mortality: lung cancer (LC), ischaemic heart disease (IHD), cerebrovascular disease (stroke) and chronic obstructive pulmonary disease (COPD). The population attributable fraction (PAF) was adopted to estimate deaths attributed to PM2.5. 72.02% of cities experienced decreases in PM2.5 from 2015 to 2016. Due to the overall decrease in the PM2.5 concentration, the total number of deaths decreased by approximately 10,658 per million in 336 cities, including a decrease of 1400, 1836, 6312 and 1110 caused by LC, IHD, stroke and COPD, respectively. Our results suggest that the overall PM2.5 concentration and PM2.5-related deaths exhibited decreasing trends in China, although air quality in local areas has deteriorated. To improve air pollution control strategies, regional PM2.5 concentrations and trends should be fully considered.

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Operationalizing Stakeholder Engagement in CSR: A Process Approach

Abstract

Stakeholder engagement is an important aspect of an organization's corporate social responsibility (CSR) activities, but little theorizing informs its implementation. In this paper, the authors relate data from stakeholder engagement activities undertaken by nine Australian organizations as part of their CSR efforts, to an existing process model of engagement. The original framework is extended and enhanced into a process model of the operationalization of stakeholder engagement. Practically, this research identifies the steps within the operationalization of stakeholder engagement, allowing engagement practitioners to track the progress of their work, and to identify and respond to any impediments. Theoretically, the proposed process model approach presents a new perspective on operationalizing stakeholder engagement. The revised model of stakeholder engagement therefore provides a lens that gives deeper insights into how engagement is carried out; as well as a practical framework through which this implementation can be understood and managed. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment

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