جستجوی مقالات مرتبط با کلیدواژه "health impact assessment" در نشریات گروه "پزشکی"

 School health is a key component of school reform, and it is essential to address health issues that are relevant to education and incorporate key actors such as the government and other relevant stakeholders. This review article aimed to examine the role of governments in fostering healthier school systems for learners.

 This paper examined existing literature, policies, and programs and identified effective approaches to promoting holistic well-being within educational settings. Scientific databases, including Google Scholar, PubMed, and Web of Science, and the websites of international organizations including the WHO, UNESCO, and UNICEF were searched.

 Through case studies and best practices from different regions including Nepal, Japan, United Arab Emirates, Ghana, and Kenya, this review illustrated the potential impact of government-led initiatives in promoting school health. In this regard, health impact assessment can help policymakers understand the health implications of their policies and identify ways to improve health while minimizing harm. The government’s role includes enactment and assessment of policies that improve school programs, establishing accountability and regulatory framework, facilitating decision-making, collaborations with other stakeholders, and coordination.

 This article provided insights and recommendations for policymakers seeking to prioritize the health and development of students in their jurisdictions. Implementing the school health program is essential for achieving both the nation’s goal of health for all and the sustainable development goals.

Background  Health impact assessment (HIA) is a widely used process that aims to identify the health impacts, positive or negative, of a policy or intervention that is not necessarily placed in the health sector. Most HIAs are done prospectively and aim to forecast expected health impacts under assumed policy implementation. HIAs may quantitatively and/or qualitatively assess health impacts, with this study focusing on the former. A variety of quantitative modelling methods exist that are used for forecasting health impacts, however, they differ in application area, data requirements, assumptions, risk modelling, complexities, limitations, strengths, and comprehensibility. We reviewed relevant models, so as to provide public health researchers with considerations for HIA model choice.Methods  Based on an HIA expert consultation, combined with a narrative literature review, we identified the most relevant models that can be used for health impact forecasting. We narratively and comparatively reviewed the models, according to their fields of application, their configuration and purposes, counterfactual scenarios, underlying assumptions, health risk modelling, limitations and strengths.Results  Seven relevant models for health impacts forecasting were identified, consisting of (i) comparative risk assessment (CRA), (ii) time series analysis (TSA), (iii) compartmental models (CMs), (iv) structural models (SMs), (v) agentbased models (ABMs), (vi) microsimulations (MS), and (vii) artificial intelligence (AI)/machine learning (ML). These models represent a variety in approaches and vary in the fields of HIA application, complexity and comprehensibility. We provide a set of criteria for HIA model choice. Researchers must consider that model input assumptions match the available data and parameter structures, the available resources, and that model outputs match the research question, meet expectations and are comprehensible to end-users.Conclusion  The reviewed models have specific characteristics, related to available data and parameter structures, computational implementation, interpretation and comprehensibility, which the researcher should critically consider before HIA model choice.

The present study examines the association between ambient air pollution and harmful consequences at birth in Yazd, Iran during 2017-2020.

This time series study by the autoregressive (AR) and moving average (MA) or ARMA model was conducted in Yazd, Iran. Birth information including fetal sex, birth weight, birth height, and head circumference as well as preterm birth (PTB) and abortion was collected from mother and birth cohort databases. Data on air pollutants concentrations in the corresponding gestational period were obtained from fixed air monitors of Yazd Municipal Environmental Monitoring Center. The time series model statistical test was performed to find the relation between ambient air pollution and harmful consequences at birth.

2131 singleton live births were monitored for 3 years. In ARMA models, the ratio of girl births to total births (Coef: 7.943, 95% CI: 2.797, 13.089), preterm delivery (Coef: 2.915, 95% CI: 0.224, 5.606), and spontaneous abortion (Coef: 44.751, 95% CI: 26.872, 62.629) was associated with NO2 exposure. Distributed mismatch models also suggested associations between the Air Quality Index (AQI) in pregnant women with a sex-premature birth relationship (Coef: 0.001, 95% CI: 0.000, 0.001).

Exposure to air pollution, even at low levels, may increase the risk of sex ratio in singletons, premature birth, and spontaneous abortion. However, the results of the present study could not definitively show the relationship between air quality and other birth problems. More research studies are required to investigate the present findings.

Environmental impact assessment is the identification and systematic evaluation of the consequences of projects and programs on physical-chemical, biological, cultural, and socio-economic components of the environment. Changes caused by urban and rural effluents in the environment can directly affect the downstream part of the river. The goal of this study was to evaluate the environmental effects of the fish farming center of Miandoab and analyze the implementation and not implementation of the project at the two phases of construction and operation, which was conducted using the Saratoga Matrix. In addition to this goal, the physicochemical parameters of water and dissolved oxygen, Biochemical Oxygen Demand (BOD), nitrate, phosphate, alkalinity, ammonia, temperature, and Chemical Oxygen Demand (COD) were measured every 30 days in summer 2020.

Miandoab Fish Breeding Center on a land area of 2000 hectares is designed for breeding hydrothermal fish. The Saratoga matrix was used to evaluate the environmental effects and analyze the two options of implementation and non-implementation of the project in the two phases of construction and operation. In the present study, four stations were determined to investigate the effect of the Miandoab Fish Breeding Center on physicochemical parameters of water in different parts of the Siminehrood river in Miandoab city. Based on the results of physicochemical parameters, the Water Quality Index (WQINSF) was calculated.

The result of the effects at the construction phase (-83) and operation phase (+137) indicated that implementation and operation of the fish farming center of Miandoab have positive effects. The results of the water evaluation showed that there was no significant difference in temperature between study stations (P>0.05). The parameters of nitrate, phosphate, alkalinity, ammonia, dissolved oxygen, pH, and BOD5 were significantly affected by different stations (P<0.05). The highest and lowest levels of BOD5 in stations three and one were 12±0.001 and 5.5±0.707 mg/L, respectively and also the highest and lowest ammonia levels were observed at 1.16±0.156 and 0.01±0.001 mg/l in stations one and four, respectively.

With the implementation of the project, some difficulties, such as lack of water caused by wasting it in soil channels, overall condition of fish farming activity in the region, immigration from villages to urban areas, lack of employment and lower-income and welfare of the people will be improved; accordingly, and a positive trend will be taken in the future. According to the Water Quality Index (WQINSF), the first and second stations showed good quality status and the third and fourth stations showed lower (average) status. Therefore, it is recommended that all units be equipped with wastewater treatment systems.

This study has internationally tested and refined a framework for institutionalizing and practicing health impact assessment (HIA). HIA is conducted differently in different contexts and recently HIA experts suggest that broader context, in which HIAs are carried out is linked to technical aspects of the HIA.

A survey internationally attained viewpoints of academics and practitioners (n = 38) on the identified parameters of the framework including factors influencing HIA. Structural equation modeling (SEM) through SmartPLS was used to test for relations between the factors. Finally, the model was modified to reach an appropriate fit.

The framework emphasizes HIA Context, HIA Capacities including Institutional, Technical and Participation capacities, HIA Content, and HIA Outcomes as key factors in implementation and practice of HIA. This framework reflects the broad range of factors that influence HIA. All broad factors were perceived as significant influences on the practice of HIAs. Some fit measures, i.e., the standardized root mean square residual appear to be in the acceptable range.

We have demonstrated the utility of SEM for developing and testing a framework to do HIA in different country contexts.

It has long been recognized that the intake of foods contaminated with chemicals, especially heavy metals can give rise to acute intoxications. The toxic properties of heavy metals are due to their long biological half-lives, as well as non-biodegradable and persistent composition. Considering the importance of the cereal products in the human diet, the present investigation was carried out to assess the human health risk of residue levels of Al, Cr, Pb, and Zn in the domestic and imported spaghetti.

In this descriptive study, 18 samples of Iranian and imported spaghetti were collected from the market in Kermanshah City, Iran, in 2015. After the preparation and processing of the samples in the laboratory, the concentration of metals was determined using the inductively coupled plasma optical emission spectroscopy. Then, statistical analyses were performed in SPSS (version 19) by running the Shapiro-Wilk test, one-way ANOVA (Duncan multiple range test), Independent t-test , and Pearson correlation coefficient.

The results showed that the mean concentrations of Al, Cr, Pb, and Zn in Iranian spaghetti samples were 655.56±400.35, 211.11±92.80, 2666.67±948.68, and 588.89±116.67 µg/kg, respectively and in the imported spaghetti samples, these values were 2022.22±1940.86, 677.78±393.0, 3300.0±728.0, and 866.67±685.57 µg/kg, respectively. Moreover, Health Risk Index (HRI) values in adults and children via consumption of Iranian and imported spaghetti were within the safe limits (HRI <1).

Considering the serious contamination of some samples of Iranian and imported spaghetti by Al and Pb, the control of heavy metals content during the whole production processing of spaghetti is suggested.

Equitable promotion of health indicators requires cooperation among different sectors more than ever. The “Health in All Policies” (HiAP) approach contributes to this process through strengthening intersectoral collaboration. To implement this approach at a national scale, indicators of health-oriented performance from various organizations, and their measurement methods, need to be precisely defined. The aim of present study was to design a toolkit for implementing HiAP in Iran.

A review of literature and documents, as well as conducting semi-structured interviews and focus group discussions were undertaken to collect data for this qualitative study. Content analysis was applied to the collected data and the results were placed in three categories: criteria, sub-criteria and indicators; implementation processes; and implementation requirements.

The toolkit aims to achieve various objectives, including intersectoral excellence and the systematic development of intersectoral collaboration. In the process section, reports on measures taken by organizations are assessed by a three-member audit committee. The top three organizations, in terms of intersectoral cooperation in achieving public health goals, are introduced in a Health Week. Requirements for success in achieving the HiAP approach include financial resources to implement the HiAP, a database, an electronic method for submitting reports, training courses, monitoring and annual reporting of relevant indicators, and formulating regulations in order to assess organizations.

Justification and training in various organizations to support the implementation of health-oriented measures, providing an annual ranking of organizations, and encouraging the organizations can contribute to the institutionalization of the toolkit through the Supreme Council for Health and Food Security. It is recommended that a Secretariat of Sustainable Development to be established under the Plan and Budget Organization (PBO) of the Islamic Republic of Iran to monitor portfolio indicators.

Attributable health impacts of air pollution result in economic costs to societies. In this study, the WHO AirQ+ model was used to estimate the health impacts and health-related economic costs of PM2.5 and O3 in Karaj, the fourth largest city in Iran, from March 2015 to March 2016.

For PM2.5, long-term mortality due to ischemic heart disease (IHD), lung cancer, chronic obstructive pulmonary disease (COPD), and morbidity such as acute lower respiratory infection (ALRI), and short-term cardiovascular and respiratory hospitalizations were calculated. For ozone, short-term mortality and hospitalizations due to cardiovascular and respiratory diseases were estimated. The human capital method (HCM) was used to monetize the mortality impact attributed to selected air pollutants. Direct and indirect costs of morbidity were estimated using available local data on the costs related to cardiovascular and respiratory diseases.

The total number of IHD, COPD, LC and ALRI deaths attributed to PM2.5 in selected age groups was 576. The total number of cardiovascular and respiratory deaths attributed to O3 was 46 cases. For hospitalization, the aggregate cardiovascular and respiratory hospital admissions for both pollutants were 552. The total economic loss due to mortality and morbidity from selected health endpoints was approximately 44 million USD.

Despite the limitations, such methodologies can be useful for policy-makers. Therefore, there is a compelling need to conduct cost of illness’s studies in other areas.

The wide range of studies on air pollution requires accurate and reliable datasets. However, due to many reasons, the measured concentrations may be incomplete or biased. The development of an easy-to-use and reproducible exposure assessment method is required for researchers. Therefore, in this article, we describe and present a series of codes written in R Programming Language for data handling, validating and averaging of PM10, PM2.5, and O3 datasets. These codes can be used in any types of air pollution studies that seek for PM and ozone concentrations that are indicator of real concentrations. We used and combined criteria from several guidelines proposed by US EPA and APHEKOM project to obtain an acceptable methodology. Separate .csv files for PM10, PM2.5 and O3 should be prepared as input file. After the file was imported to the R Programming software, first, negative and zero values of concentrations within all the dataset will be removed. Then, only monitors will be selected that have at least 75% of hourly concentrations. Then, 24-h averages and daily maximum of 8-h moving averages will be calculated for PM and ozone, respectively. For output, the codes create two different sets of data. One contains the hourly concentrations of the interest pollutant (PM10, PM2.5, or O3) in valid stations and their average at city level. Another is the final 24-h averages of city for PM10 and PM2.5 or the final daily maximum 8-h averages of city for O3. These validated codes use a reliable and valid methodology, and eliminate the possibility of wrong or mistaken data handling and averaging. The use of these codes are free and without any limitation, only after the citation to this article.

Brazil was one of the first countries in Latin America to institutionalize a National Environmental Policy in 1981, including the environmental impact assessment (EIA) process of economic activities with anticipated impacts on the environment. Today, EIA practice in Brazil comes with a number of limitations: it is constrained by its environmental advocacy role; application is strongly oriented towards large capital projects; and social responsibility considerations are only partially included. Consequently, EIA studies mainly address issues connected to localised and direct environmental impacts, largely ignoring any socio-economic and health impacts. This perspective paper highlights limitations of current EIA practice in Brazil with a focus on health considerations in impact assessment. While recognizing the positive impact to municipalities where large capital projects are being developed and operated, adverse impacts on health are a reality with measurable evidence in Brazil. Therefore, we argue that specificities on how to systematically assess and monitor potential health impacts cannot remain invisible in the Brazilian legislation, as currently seen in the reformulation of the licensing process in the country. The process of better integrating the assessment of health impacts in the licensing process of large capital project in Brazil must, however, not be based on the imposition of an external model but should be promoted by internal stakeholders from the environmental and health sector, incorporating the experiences gained in various case studies from all over the country

As a primary phase of a Health Impact Assessment (HIA) on the Iranian Targeted Subsidy Plan (TSP), this study was conducted to assess the psychometric properties of a newly developed quantitative Health Policy Impact Assessment Tool (HEPIAT).

In 2014, multistage cluster sampling was employed to recruit 509 key informants in Sanandaj, Iran, to participate in this cross-sectional study. A comprehensive literature review was conducted to develop the initial draft of HEPIAT. Content validity was determined by a consensus panel of experts, and construct validity and factor structure of the HEPIAT were assessed using Exploratory Factor Analysis (EFA). Reliability was assessed utilizing the Cronbach’s alpha coefficient and the test– retest reliability coefficient.

Applying EFA, the optimal solution including 35 items and 6 factors was emerged, which accounted for 64.94% of the total variance. The mean items’ relevancy, clarity, simplicity, and their total mean±SD score were 88.3±0.2, 90.1±0.5, 86.1±0.7, and 89.6±0.4, respectively. The scores of intra-class correlation coefficients (ICC) and internal consistency reliability for all the factors were ranged from 0.67 to 0.89. HEPIAT demonstrated an appropriate validity, reliability, functionality, and simplicity.

Although further works in different settings are warranted, HEPIAT may be a practical and useful quantitative instrument in socioeconomic-related HIAs aimed to inform policymakers and stakeholders on the health impacts of their decisions and plans.

Various epidemiological studies have related fine particles (PM2.5) to incidence of lung cancer. In addition, particulate air pollution has been classified as Group 1 carcinogen by international agency for research on cancer (IARC) in 2013.

The aim of this study was to quantify the number of gender-specific lung cancer deaths due to exposure to PM2.5 among individuals aged over 30 years using WHO AirQ model in 10 cities of Iran during March 2013-March 2016.

Hourly concentrations of PM2.5 were obtained from department of environment (DOE) of Iran and Tehran air quality control company (TAQCC). Demographic information and baseline incidence (BI) were acquired from statistical center of Iran, ministry of health and medical education, respectively. AirQ model was used to quantify the lung cancer deaths among males and females aged over 30 years.

The highest lung cancer deaths were in Tehran with approximately 407 cases of death during the whole three-year period. The total deaths among men and women in the whole period were 433 and 431 cases, respectively. The sum of lung cancer deaths due to PM2.5 exposure in all the 10 cities during these 3 years were estimated 864 cases. In addition, the attributable proportion of lung cancer due to PM2.5 exposure in each city was estimated. Despite the high number of lung cancer deaths in Tehran, higher AP values were observed in cities such as Isfahan, Ahvaz, Khoram Abad and Arak, reflecting the higher risk of death per unit of population.

The results of this study could be used by authorities for making air pollution reduction strategies and plans. Furthermore, any reduction in attributed mortality and hospitalization reduces financial burden in health organizations.

Particulate air pollution is known as a major risk factors of ischemic heart disease (IHD) and stroke. The aim of this study was to estimate the premature IHD and stroke deaths attributed to long-term exposure to PM2.5 in 10 cities of Iran during March 2013 to March 2015 using AirQ model.
Ten cities of Iran including Tehran, Mashhad, Isfahan, Shiraz, Tabriz, Ahvaz, Arak, Sanandaj, Khoram Abad, and Ilam were chosen, and their air quality data were acquired from Department of Environment (DoE) and Tehran Air Quality Control Company (AQCC). Validation of monitoring stations were accomplished according to WHO and APHEKOM criteria for health impact assessment of air pollution. The number of deaths due to IHD and stroke was estimated using AirQ , which is developed by WHO.
The total number of IHD and stroke deaths in the March 2013- March 2014 and March 2014 - March 2015 periods were 15479 and 15321 deaths, respectively. In case of both IHD and stroke mortality, the highest number of IHD and stroke deaths was estimated to be in Tehran, Mashhad and Isfahan, respectively. The highest number of attributable deaths per 100,000 population were estimated to be in Ahvaz and Isfahan. The average of excess IHD and stroke deaths due to exposure to PM2.5 in all cities were 84 and 41 per 100,000 population, respectively.
The results of this study indicated the necessity of urgent actions to improve the outdoor air quality in Iranian cities.

Work-related musculoskeletal disorders (WMSDs) have been documented among various occupational groups in Nigeria. However, there is limited data on the prevalence of WMSDs among call center operators (CCOs).
To determine the prevalence of WMSDs among CCOs in Nigeria and to explore the extent to which these discomforts impact the daily work activities of the respondents.
374 respondents who were randomly selected from 4 telecommunication companies in Lagos State, Nigeria, participated in this study. They were asked to complete a pre-tested questionnaire designed to capture the prevalence, impact and associated risk factors of WMSDs among CCOs.
42% and 65.2% of respondents experienced at least one WMSDs in the past 7 days, and 12 months, respectively. Women and CCOs who received calls with hand-held phones rather than headsets reported more discomforts during both 7 days and 12 months periods. Neck, shoulder, upper back, and lower back were the most affected areas during past 7 days and 12 months. Discomforts in the neck, low back, and knees prevented most of the respondents from performing their daily work.
WMSDs have a serious impact on the daily job activities of the CCOs in Nigeria.

Diabetes is a major killing recognized as a silent epidemic globally problem. India has the highest number of diabetes cases in the world causing huge morbidity and economic losses to the country. There were 66.8 million adults suffering from with diabetes in India in 2014, which is expected to rise by 63% to 109 million by 2035. Diabetes led to at least USD 612 billion in health expenditure worldwide in 2014 (11% of total spending on adults). Indian diabetic population is expected to reach 70 million by 2025. The aim of this study was to explore the perspectives on diabetes awareness and care in India.
This paper is based on secondary literature review and authors experience some studies on disease and diabetes in India.
There are three levels of awareness and care: Primary, Secondary and Tertiary. Once, an optimum level of awareness across the three levels is achieved, it would be translated into optimum level of care.
Diabetes is a major challenge for India’s health care system. An optimal mix of awareness levels is required at primary, secondary and tertiary levels in India for a Whole Society Approaching to Diabetes care.