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The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study
BACKGROUND: High concomitant intolerance attributed to odorous/pungent chemicals, certain buildings, electromagnetic fields (EMF), and everyday sounds calls for a questionnaire instrument that can assess symptom prevalence in various environmental intolerances. The Environmental Hypersensitivity Sym...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716632/ https://www.ncbi.nlm.nih.gov/pubmed/23837629 http://dx.doi.org/10.1186/0778-7367-71-18 |
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author | Nordin, Steven Palmquist, Eva Claeson, Anna-Sara Stenberg, Berndt |
author_facet | Nordin, Steven Palmquist, Eva Claeson, Anna-Sara Stenberg, Berndt |
author_sort | Nordin, Steven |
collection | PubMed |
description | BACKGROUND: High concomitant intolerance attributed to odorous/pungent chemicals, certain buildings, electromagnetic fields (EMF), and everyday sounds calls for a questionnaire instrument that can assess symptom prevalence in various environmental intolerances. The Environmental Hypersensitivity Symptom Inventory (EHSI) was therefore developed and metrically evaluated, and normative data were established. The EHSI consists of 34 symptom items, requires limited time to respond to, and provides a detailed and broad description of the individual’s symptomology. METHODS: Data from 3406 individuals who took part in the Västerbotten Environmental Health Study were used. The participants constitute a random sample of inhabitants in the county of Västerbotten in Sweden, aged 18 to 79 years, stratified for age and gender. RESULTS: Exploratory factor analysis identified five significant factors: airway symptoms (9 items; Kuder-Richardson Formula 20 coefficient, KR-20, of internal consistency = 0.74), skin and eye symptoms (6 items; KR-20 = 0.60), cardiac, dizziness and nausea symptoms (4 items; KR-20 = 0.55), head-related and gastrointestinal symptoms (5 items; KR-20 = 0.55), and cognitive and affective symptoms (10 items; KR-20 = 0.80). The KR-20 was 0.85 for the entire 34-item EHSI. Symptom prevalence rates in percentage for having the specific symptoms every week over the preceding three months constitute normative data. CONCLUSIONS: The EHSI can be recommended for assessment of symptom prevalence in various types of environmental hypersensitivity, and with the advantage of comparing prevalence rates with normality. |
format | Online Article Text |
id | pubmed-3716632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37166322013-07-20 The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study Nordin, Steven Palmquist, Eva Claeson, Anna-Sara Stenberg, Berndt Arch Public Health Methodology BACKGROUND: High concomitant intolerance attributed to odorous/pungent chemicals, certain buildings, electromagnetic fields (EMF), and everyday sounds calls for a questionnaire instrument that can assess symptom prevalence in various environmental intolerances. The Environmental Hypersensitivity Symptom Inventory (EHSI) was therefore developed and metrically evaluated, and normative data were established. The EHSI consists of 34 symptom items, requires limited time to respond to, and provides a detailed and broad description of the individual’s symptomology. METHODS: Data from 3406 individuals who took part in the Västerbotten Environmental Health Study were used. The participants constitute a random sample of inhabitants in the county of Västerbotten in Sweden, aged 18 to 79 years, stratified for age and gender. RESULTS: Exploratory factor analysis identified five significant factors: airway symptoms (9 items; Kuder-Richardson Formula 20 coefficient, KR-20, of internal consistency = 0.74), skin and eye symptoms (6 items; KR-20 = 0.60), cardiac, dizziness and nausea symptoms (4 items; KR-20 = 0.55), head-related and gastrointestinal symptoms (5 items; KR-20 = 0.55), and cognitive and affective symptoms (10 items; KR-20 = 0.80). The KR-20 was 0.85 for the entire 34-item EHSI. Symptom prevalence rates in percentage for having the specific symptoms every week over the preceding three months constitute normative data. CONCLUSIONS: The EHSI can be recommended for assessment of symptom prevalence in various types of environmental hypersensitivity, and with the advantage of comparing prevalence rates with normality. BioMed Central 2013-07-09 /pmc/articles/PMC3716632/ /pubmed/23837629 http://dx.doi.org/10.1186/0778-7367-71-18 Text en Copyright © 2013 Nordin et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Nordin, Steven Palmquist, Eva Claeson, Anna-Sara Stenberg, Berndt The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study |
title | The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study |
title_full | The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study |
title_fullStr | The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study |
title_full_unstemmed | The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study |
title_short | The environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study |
title_sort | environmental hypersensitivity symptom inventory: metric properties and normative data from a population-based study |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716632/ https://www.ncbi.nlm.nih.gov/pubmed/23837629 http://dx.doi.org/10.1186/0778-7367-71-18 |
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