Conceptual Reference Database for Building Envelope Research Prev
Next

Knowledge-based and statistically modeled relationships between residential moisture damage and occupant reported health symptoms

Haverinen, U., Vahteristo, M., Moschandreas, D., Nevalainen, A., Husman, T. and Pekkanen, J.
2003
Atmospheric Environment, 37(4), 577-585
Indoor air; Exposure indicators; Modeling; Mold; Respiratory


Haverinen, U., Vahteristo, M., Moschandreas, D., Nevalainen, A., Husman, T. and Pekkanen, J., (2003), "Knowledge-based and statistically modeled relationships between residential moisture damage and occupant reported health symptoms", Atmospheric Environment, 37(4), 577-585.
Abstract:
This study continues to develop a quantitative indicator of moisture damage induced exposure in relation to occupant health in residential buildings. Earlier, we developed a knowledge-based model that links moisture damage variables with health symptoms. This paper presents a statistical model in an effort to improve the knowledge-based model, and formulates a third, simplified model that combines aspects of the both two models. The database used includes detailed information on moisture damage from 164 houses and health questionnaire data from the occupants. Models were formulated using generalized linear model formulation procedures, with 10 moisture damage variables as possible covariates and a respiratory health symptom score as the dependent variable. An 80% random sample of the residences was used for the formulation of models and the remaining 20% were used to evaluate them. Risk ratios (RR) for the respiratory health symptom score among the 80% sample were between 1.32 (1.12-1.55) and 1.48 (1.19-1.83), calculated per 10 points index increase. For the 20% sample, RRs were between 1.71 (1.13-2.58) and 2.34 (1.69-3.23), respectively. Deviance values in relation to degrees of freedom were between 2.00-2.12 (80% sample) and 1.50-1.81 (20% sample). The models developed can be simulated as continuous variables and they all associated significantly with the symptom score, the association being verified with a subset of the database not employed in the model formulation. We concluded that the performance of all models was similar. Therefore, based on the knowledge-based and statistical models, we were able to construct a simple model that can be used in estimating the severity of moisture damage.

Keywords:


Related Resources:

This publication in whole or part might be found online. Check the sources on the related article below. Or use search engines on the web.

Related Concepts


Author Information and Other Publications Notes
Haverinen, U.
  1. An approach to management of critical indoor air problems in school buildings
  2. Analysis of moisture findings in the interior spaces of Finnish housing stock
  3. Characteristics of moisture damage in houses and their association with self-reported symptoms of the occupants
  4. Comparison of two-level and three-level classifications of moisture-damaged dwellings in relation to health effects
  5. Modeling moisture damage and its association with occupant health symptoms  
Vahteristo, M.
  1. Analysis of moisture findings in the interior spaces of Finnish housing stock
  2. Characteristics of moisture damage in houses and their association with self-reported symptoms of the occupants
  3. Comparison of two-level and three-level classifications of moisture-damaged dwellings in relation to health effects
  4. Indoor air microbes and respiratory symptoms of children in moisture damaged and reference schools
  5. Moisture, mold and health in apartment homes
  6. Temporal and spatial variation of fungal concentrations in indoor air  
Moschandreas, D.
  1. Characteristics of moisture damage in houses and their association with self-reported symptoms of the occupants
  2. Comparison of two-level and three-level classifications of moisture-damaged dwellings in relation to health effects
  3. Indoor air microbes and respiratory symptoms of children in moisture damaged and reference schools
  4. Temporal and spatial variation of fungal concentrations in indoor air  
Nevalainen, A.
Laboratory of Environmental Microbiology, National Public Health Institute, Kuopio, Finland, and Department of Health Evaluation Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
  1. An approach to management of critical indoor air problems in school buildings
  2. Analysis of moisture findings in the interior spaces of Finnish housing stock
  3. Comparison of concentrations and size distributions of fungal spores in buildings with and without mould problems
  4. Comparison of two-level and three-level classifications of moisture-damaged dwellings in relation to health effects
  5. Control of exposure to airborne viable microorganisms during remediation of moldy buildings; report of three case studies
  6. Effect of building frame and moisture damage on microbiological indoor air quality in school buildings
  7. Effect of growth medium on potential of Streptomyces anulatus spores to induce inflammatory responses and cytotoxicity in RAW264.7 macrophages
  8. Effect of indoor sources on fungal spore concentrations and size distributions
  9. Effect of liner and core materials of plasterboard on microbial growth, spore-induced inflammatory responses, and cytotoxicity in macrophages
  10. Everyday activities and variation of fungal spore concentrations in indoor air
  11. Fungal spores as such do not cause nasal inflammation in mold exposure
  12. Fungi and actinobacteria in moisture-damaged building materials - concentrations and diversity
  13. Indoor air microbes and respiratory symptoms of children in moisture damaged and reference schools
  14. Induction of Cytotoxicity and Production of Inflammatory Mediators in RAW264.7 Macrophages by Spores Grown on Six Different Plasterboards
  15. Inlet sampling efficiency of bioaerosol samplers
  16. Microbes and moisture content of materials from damaged building
  17. Moisture, mold and health in apartment homes
  18. Performance of bioaerosol samplers: collection characteristics and sampler design considerations
  19. Personal exposures and microenvironmental concentrations of particles and bioaerosols
  20. Size distributions of airborne microbes in moisture-damaged and reference school buildings of two construction types
  21. Skin-prick test findings in students from moisture- and mould-damaged schools: A 3-year follow-up study
  22. Temporal and spatial variation of fungal concentrations in indoor air
  23. The relationship between moisture or mould observations in houses and the state of health of their occupants
  24. Validity of detection of microbial growth in buildings by trained dogs  
Husman, T.
National Public Health Institute, Department of Environmental Epidemiology, Kuopio, Finland.
  1. An approach to management of critical indoor air problems in school buildings
  2. Analysis of moisture findings in the interior spaces of Finnish housing stock
  3. Characteristics of moisture damage in houses and their association with self-reported symptoms of the occupants
  4. Comparison of two-level and three-level classifications of moisture-damaged dwellings in relation to health effects
  5. Control of exposure to airborne viable microorganisms during remediation of moldy buildings; report of three case studies
  6. Effect of building frame and moisture damage on microbiological indoor air quality in school buildings
  7. Health effects of indoor-air microorganisms
  8. Indoor air microbes and respiratory symptoms of children in moisture damaged and reference schools
  9. Moisture damage in schools - symptoms and indoor air microbes
  10. Moisture, mold and health in apartment homes
  11. Size distributions of airborne microbes in moisture-damaged and reference school buildings of two construction types
  12. The relationship between moisture or mould observations in houses and the state of health of their occupants  
Pekkanen, J.
  1. Characteristics of moisture damage in houses and their association with self-reported symptoms of the occupants
  2. Comparison of two-level and three-level classifications of moisture-damaged dwellings in relation to health effects  



CRDBER, at CBS, BCEE, ENCS, Concordia,