How do children perceive indoor air quality (IAQ) at school?

Simoni, Marzia; Baldacci, Sandra; Canciani, Mario; Pini, Carlo; Brunetti, L.; Indinnimeo, Luciana; Carrer, Paolo; Biggeri, A; Sestini, Piersante; Maio, Sara; Sarno, Giuseppe; Cibella, Fabio; Viegi, Giovanni

doi:10.1183/13993003.congress-2016.pa4923

Cited by 3 publications

(2 citation statements)

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“…The relationships between building-related factors and perceived IAQ are well-documented (see e.g. Bakke et al, 2007;Simoni et al, 2016;Mečiarová et al, 2018). In workplaces, high work demands, poor work support and high stress are associated with decreased perceived IAQ (Brauer and Mikkelsen, 2010;Frontczak and Wargocki, 2011;Bluyssen et al, 2016).…”

Section: Background and Related Standardsmentioning

confidence: 99%

The conditions data model supporting building information models in facility management

Halmetoja¹

2019

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Purpose This paper aims to describe how building information model (BIM) and big data can be combined in the same interface for providing new value to stakeholders, such as the property owner and user, as well as property service and workplace service companies. The research presents a new concept, which shows how the BIM can be exploited efficiently during maintenance. Design/methodology/approach Initially, existing facility management (FM) processes were investigated to find out how to digitize them and identify bottlenecks. Second, BIM’s data content was explored to identify the information that could be used to streamline FM processes. Third, the potential of the active data measured in the building was evaluated. Finally, research was undertaken to find out how constantly fluctuating information can be combined with BIM objects and what kind of added value that combination could offer. The literature review was used to support the primary contribution. In addition, the research problems were described and the basics of the research were obtained by interviews. The author has interviewed 27 professionals from several stakeholders. Findings The first finding is that the BIM can serve as a platform for building use, various services and management when it has been adequately generated during the planning and construction phases and enriched before being commissioned. The other essential finding is the theory of conditions data model (CDM), which is a technical environment that combines active data with BIM. The most important advantages of BIM in FM are as follows: • Building owner attains better user satisfaction, acquires better quality and smarter services, saves energy, ensures better indoor conditions and improves building profitability. • Service providers can develop and offer new services, speed up operations, save resources and generate more profits. • The occupant gets a better user experience, faster and higher quality services and better indoor conditions. Research limitations/implications The CDM enables to generate for the real estate and construction (RE&C) sector a novel BIM-based ecosystem with standard rules, instead of every individual operator developing his/her own unique solution for BIM use in FM. This will have an impact on the entire RE&C sector’s operating methods and will have significant financial implications in the near future. Application of this research is limited to office buildings where indoor condition measuring is undertaken continuously and where the knowledge of the use cases of spaces is available. In addition, the proper BIM in the Industry Foundation Classes format must exist. The evaluation of the validity of big data is not discussed in this article. Visualization of data and content of user interfaces will be the topic of another article by the author. This article does not deal with intricate technical details, but crucial issues are defined. Originality/value The article presents a unique method for BIM use in FM. The theory of CDM (how to combine active data with BIM) is completely new and a similar solution has not been presented earlier. The theory of the presented method will be the crucial key for BIM use and will lead worldwide commissioning. Currently, the theory is under test in the practical pilot project. The results of the project will be published in the next article.

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Section: Background and Related Standardsmentioning

confidence: 99%

The conditions data model supporting building information models in facility management

Halmetoja¹

2019

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“…There are well-documented relationships between building-related factors and subjective IAQ [ 5 , 6 , 7 ] as well as between building-related factors and the prevalence of IA-related symptoms [ 8 , 9 , 10 ]. Furthermore, psychosocial problems seem to be related to subjective IAQ and IA-related symptoms.…”

Section: Introductionmentioning

confidence: 99%

Psychosocial Problems, Indoor Air-Related Symptoms, and Perceived Indoor Air Quality among Students in Schools without Indoor Air Problems: A Longitudinal Study

Finell

Tolvanen

Pekkanen

et al. 2018

IJERPH

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The effect of students’ psychosocial problems on their reporting of indoor air quality (subjective IAQ) and indoor air-related (IA-related) symptoms has not been studied in schools in a longitudinal setting. Therefore, we analyzed whether changes in students’ psychosocial problems (socioemotional difficulties and perceived teacher–student relations) between the beginning of seventh grade (age 12–13 years) and the end of ninth grade (15–16 years) predicted subjective IAQ and IA-related symptoms at the end of ninth grade. In order to explore the independent effect of psychosocial factors, we focused only on students in schools without observed indoor air problems. The analysis was of longitudinal data (N = 986 students) using latent change modelling. Increased socioemotional difficulties were related to more IA-related symptoms (standardized beta = 0.20) and deteriorated subjective IAQ (standardized beta = 0.20). Increased problems in teacher–student relations were related to deteriorated subjective IAQ (standardized beta = 0.21). Although students’ psychosocial problems explained only 9–13% of the total variances, our findings support the notion that psychosocial factors also need to be taken into account in the evaluation of IAQ and the prevalence of IA-related symptoms in schools.

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Evaluation of the Relationship Between Sick Building Syndrome Prevalence and Indoor Air Quality in Schools

Tekin

Arıkan

2023

ESTÜDAM Halk Sağlığı Dergisi

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In this study, it was aimed to evaluate the relationship between Sick Building Syndrome (SBS) prevalence and indoor air quality in primary and middle schools in rural and urban areas in the west of Turkey. This cross-sectional study was carried out between September and November 2018 in three randomly selected schools in rural and urban areas. The questionnaire designed to reveal perceived indoor air quality and SBS was completed by the parents of the students. On determined days, particulate matter (PM) and carbon dioxide (CO2) levels were measured in the classrooms. Multiple logistic regression model was developed to investigate the relationship between SBS and some variables. The study was conducted on 966 students. The prevalence of SBS was found to be 10.2%. The most common SBS symptoms were listed as fatigue, nasal congestion-discharge, cough, and headache, respectively. The measured PM2.5, PM10, and CO2 values were higher in the urban area than in the rural area. The risk of SBS was found to be higher in primary school students, in students who have poor perceived classroom air, lighting, and noise quality, and in students studying in classrooms with higher PM2.5, PM10, and CO2 values. One in ten students had SBS. There was a relationship between SBS and poor perceived indoor quality and increased CO2 and PM values. Raising awareness about SBS and conducting studies aimed at improving related factors in schools are thought to be important.

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How do children perceive indoor air quality (IAQ) at school?

Cited by 3 publications

References 0 publications

The conditions data model supporting building information models in facility management

The conditions data model supporting building information models in facility management

Psychosocial Problems, Indoor Air-Related Symptoms, and Perceived Indoor Air Quality among Students in Schools without Indoor Air Problems: A Longitudinal Study

Evaluation of the Relationship Between Sick Building Syndrome Prevalence and Indoor Air Quality in Schools

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