ObjectiveMultiple chemical sensitivity (MCS) is a chronic medical condition characterized by symptoms that the affect an individual’s response to low-level chemical exposure. In this study, we identified a chemical sensitive population (CSP) and investigated the effect of genetic polymorphisms on their risk of chemical sensitivity.MethodsA quick environment exposure sensitivity (QEESI) questionnaire was used to survey 324 Japanese male workers whose DNA samples had been collected and stored. The following genes, which encode enzymes affecting the metabolic activation of a large number of xenobiotic compounds, were selected and analyzed in order to determine their influence on genetic predisposition to CSP: cytochrome P450 (CYP) 2E1, N-acetyl transferase (NAT) 2, glutathione S-transferase (GST) M1, GSTT1, GSTP1, low Km aldehyde dehydrogenase (ALDH2), and superoxide dismutase (SOD) 2.ResultsSignificant case-control distributed differences were observed in SOD2 polymorphisms and allele frequency distribution in high chemical sensitive subjects. Both the significant adjusted OR of 4.30 (95% CI, 1.23–15.03) and 4.53 (95% CI, 1.52-13.51) were observed in SOD2 Ala/Ala and Val/Ala compared to Val/Val and in SOD2 Ala/Ala compared to Val/Ala compared to Val/Val genetic analysis in the high chemical sensitivity case-control study.ConclusionsWe observed that high chemical sensitive individuals diagnosed by using Japanese criteria as MCS patients were more significantly associated with SOD2 polymorphisms.
Our results suggest that individuals with different genotypes for the enzymes involved in metabolizing carcinogenic arylamines have a different risk of developing bladder cancer. In particularly, the combination of the NAT2 slow genotype with UGT2B7 *1/*2 or *2/*2 genotype is a high risk factor for bladder cancer.
The aim of this study is to investigate the association between falls and physiological factors primarilly the toe-gap force and the Good Walker's Index using a path analysis. Three hundred and sixty-two (362) elderly people, over 65 years of age, undertook five types of walking ability and physiological tests, The Toe-gap Force and the Good Walker's Index, which consists of 10-m walking time, Maximal Step Length (MSL), 40/20 cm step test, and tandem gait. Questions concerning demographic characteristics, instrumental activities of daily living (IADL), subjective well-being, long-term care needs, and characteristics of falls were asked. Ninety participants (24.9%) reported one or more falls within the past year. The results showed that a lower toe-gap force and a lower good-walker's Index score were significantly associated with falls. Fallers scored worse on Toe-gap force R, 10-m walking time, and Maximal Step strength. The Good Walker's Index was significantly associated with all test measures. The path analysis model revealed the association between the Good Walker's Index and falls. Toe-gap force and the Good Walker's Index can serve as an effective predictive factor for older people who are living independently in the community. This study provided a model of the inter-relationships among physiological factors such as the Good walker's Index, Toe-gap force and falls, as well as vision and falls.
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