Building characteristics and sick building syndrome among primary school students

Fard, Reza Fouladi; Hosseini, M. Reza; Faraji, Maryam; Oskouei, Alireza Omidi

doi:10.4038/sljch.v47i4.8595

Cited by 18 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study also found a higher prevalence of general symptoms among girls when compared to boys. A previous study based in Iran school also found more symptoms among female students [ 22 ], while another Japanese school children study reported more symptoms among boys [ 17 ]. On the other hand, studies among adult populations have reported higher SBS rates among women [ 23 – 25 ].…”

Section: Discussionmentioning

confidence: 99%

Lifestyle behaviors and home and school environment in association with sick building syndrome among elementary school children: a cross-sectional study

Ketema

Araki

Bamai

et al. 2020

Environ Health Prev Med

View full text Add to dashboard Cite

Background Sick building syndrome (SBS) refers to the combination of symptoms experienced by occupants of specific building characteristics. This study investigated the associations of children’s lifestyle behaviors, allergies, home, and school environment with SBS symptoms. Methods A total of 4408 elementary school children living in Sapporo City, Japan participated in this study. SBS was determined on parental answers to MM080 standardized school questionnaires on symptoms that were weekly experienced by these children, and if the symptom is attributed to their home or school environment. The Japanese version of the International Study of Asthma and Allergies in Childhood questionnaire was used to assess wheeze, rhino-conjunctivitis, and eczema. A logistic regression analysis was conducted to evaluate the associations between SBS symptoms and variables by controlling the potential confounders (gender, grade, school, and parental history of allergies). A stepwise backward elimination was conducted to assess independent variables related to SBS. Results Participants revealed mucosal (6.9%), skin (2.0%), and general (0.8%) symptoms. The presence of one or more allergy was associated with increased mucosal and skin symptoms. Children who skipped breakfast, displayed faddiness (like/dislike of food), had constipation, have insufficient sleep, did not feel refreshed after sleep, and lacked deep sleep showed significantly high odds ratios with SBS symptoms. The stepwise analysis showed faddiness for mucosal symptoms and not feeling refreshed after sleep for mucosal and skin symptoms, whereas constipation and lacking deep sleep for general symptoms were independent variables in increasing the symptoms. We found no significant relationship between SBS in children and schools. Considering children’s home, old building, no ventilation, wall-to-wall carpet, and heavy nearby traffic were associated with elevated mucosal symptom, while living in a multifamily home increased general symptoms. Home dampness was an independent variable in increasing all SBS symptoms. Conclusions Allergies and lifestyle behaviors were associated with increased SBS in children, including skipping breakfast, displaying faddiness, constipation, insufficient sleep, not feeling refreshed after sleep, and the lack of deep sleep. Further, dampness at home was associated with increase in all SBS symptoms. Lifestyle (e.g., eating and sleeping habits) and home (i.e., dampness) improvements might alleviate SBS symptoms in children.

show abstract

Section: Discussionmentioning

confidence: 99%

Lifestyle behaviors and home and school environment in association with sick building syndrome among elementary school children: a cross-sectional study

Ketema

Araki

Bamai

et al. 2020

Environ Health Prev Med

View full text Add to dashboard Cite

show abstract

“…This study was carried out in Salafchegan city, a special economic zone, located in the central part of Qom province, Iran. Located in the central part of Iran, Qom is a province that's known for being the smallest in the country and having a semi-arid climate [28][29][30] . The area of the Salafchegan district is 55.4 km 2 31 .…”

Section: Selection Of Study Sitesmentioning

confidence: 99%

Health risk assessment of lead pollution from air and soil in the biggest special economic zone of Iran

Jahanbakhsh

Fard

Karimi

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Contamination of air and soil with Lead (Pb) is a great global concern. This cross-sectional study aimed to investigate the Pb content in the atmosphere and soil at 56 sampling sites in the Salafchegan industrial zone located in Qom province, Iran. The results indicated that Pb accumulated in air and soil media. The geostatistical analysis of Pb showed that pollution hotspots were detected around industrial areas as well as in sites with intense vehicular traffic. Although the average concentration of Pb in the air (0.013 µg/m3) and soil (3.05 mg/kg), were lower than the limit of Environmental Protection Agency (EPA), in some polluted zones, the Pb concentrations exceeded more than 1.2 and 2.6 times in the air and soil, respectively. Ingestion and inhalation were the main pathways of Pb exposure. Hazard Index (HI) values in some land use areas and children under five years were above EPA's safe limit. HI value for children was above 1. The carcinogenic risk analysis showed that higher carcinogenic risk from the acceptable limit (1 × 10− 6) was presented in different age groups in the sampling sites. Consequently, children are considered a high-risk group for Pb exposure in studied areas.

show abstract

“…Qom (capital city of Qom province), one of the most populous cities in Iran, is located in the center of Iran with a semi-arid climate (6)(7)(8)(9). Historically, the water supply of Qom has been of great importance due to the arid environment of this city and water scarcity.…”

Section: Study Areamentioning

confidence: 99%

Performance of TANN, NARX, and GMDHT Models for Urban Water Demand Forecasting: A Case Study in a Residential Complex in Qom, Iran

Rezaali,

Fouladi-Fard,

Karimi

2023

Avicenna J Environ Health Eng

View full text Add to dashboard Cite

To keep the balance between demand and supply, methods based on the average per capita consumption were usually applied to predict water demand. More complicated models such as linear regression and time series models were developed for this purpose. However, after the introduction of artificial neural networks (ANNs), different applications of this method were used in the field of water supply management, especially for urban water demand prediction. In this study, multiple types of ANNs were studied to understand their suitability for a residential complex water demand prediction in the city of Qom, Iran. The results indicated that time series ANN (TANN), nonlinear autoregressive network with exogenous inputs (NARX), group method of data handling time series (GMDHT), and their wavelet counterparts (i.e., w-TANN and w-NARX) exhibited varying degrees of performance. Among the aforementioned models, w-NARX performed the best (based on the average overall error) with the test set root mean squared error (MSE) of 49.5 (m3 /h) and R of 0.93, followed by the GMDHT model with the test set MSE of 104 (m3 /h) and R of 0.97 and w-TANN with the test set MSE of 68.8 (m3 /h) and R of 0.91. In addition, the feedback connection in NARX compared to TANN demonstrated overall performance improvement.

show abstract

Building characteristics and sick building syndrome among primary school students

Cited by 18 publications

References 17 publications

Lifestyle behaviors and home and school environment in association with sick building syndrome among elementary school children: a cross-sectional study

Lifestyle behaviors and home and school environment in association with sick building syndrome among elementary school children: a cross-sectional study

Health risk assessment of lead pollution from air and soil in the biggest special economic zone of Iran

Performance of TANN, NARX, and GMDHT Models for Urban Water Demand Forecasting: A Case Study in a Residential Complex in Qom, Iran

Contact Info

Product

Resources

About