TY - JOUR
T1 - Phenotypes of individuals affected by airborne chemicals in the general population
AU - Berg, Nikolaj Drimer
AU - Linneberg, A.
AU - Dirksen, Asger
AU - Elberling, J.
AU - Berg, Nikolaj Drimer
AU - Berg, N.D.
AU - Dirksen, Asger
N1 - Keywords: Adolescent; Adult; Aged; Air Pollutants; Air Pollution; Cross-Sectional Studies; Denmark; Female; Health Status; Humans; Inhalation Exposure; Logistic Models; Male; Middle Aged; Multiple Chemical Sensitivity; Phenotype; Quality of Life; Questionnaires; Young Adult
PY - 2009
Y1 - 2009
N2 - OBJECTIVE: To characterise the chemical exposures and symptoms affecting individuals with subsequent adjustments of social life or occupational conditions, and further characterise these severely affected individuals. METHODS: All individuals (n = 1,134) who reported symptoms from airborne chemical exposures in a population-based questionnaire study of 6,000 individuals were included and dichotomised according to severity. Logistic regression models were used to characterise the group of severely affected individuals. RESULTS: Severely affected individuals reported more symptoms and exposures related to symptoms than less severely affected individuals, and the number of symptoms was more predictive for severity than the number of exposures. Most predictive for the severity of reported symptoms were CNS-symptoms other than headache (OR = 3.2, P <0.001) and exposure to freshly printed papers or magazines (OR = 2.0, P = 0.001). CONCLUSION: CNS-symptoms except from headache were a main characteristic of individuals severely affected by common chemical exposures in a general population-based sample
AB - OBJECTIVE: To characterise the chemical exposures and symptoms affecting individuals with subsequent adjustments of social life or occupational conditions, and further characterise these severely affected individuals. METHODS: All individuals (n = 1,134) who reported symptoms from airborne chemical exposures in a population-based questionnaire study of 6,000 individuals were included and dichotomised according to severity. Logistic regression models were used to characterise the group of severely affected individuals. RESULTS: Severely affected individuals reported more symptoms and exposures related to symptoms than less severely affected individuals, and the number of symptoms was more predictive for severity than the number of exposures. Most predictive for the severity of reported symptoms were CNS-symptoms other than headache (OR = 3.2, P <0.001) and exposure to freshly printed papers or magazines (OR = 2.0, P = 0.001). CONCLUSION: CNS-symptoms except from headache were a main characteristic of individuals severely affected by common chemical exposures in a general population-based sample
U2 - 10.1007/s00420-008-0352-y
DO - 10.1007/s00420-008-0352-y
M3 - Tidsskriftartikel
C2 - 18751996
SN - 0340-0131
VL - 82
SP - 509
EP - 517
JO - International Archives of Occupational and Environmental Health
JF - International Archives of Occupational and Environmental Health
IS - 4
ER -