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PubMed · 10788194

Breaking barriers.

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M J Scherer. Breaking barriers.. https://pubmed.ncbi.nlm.nih.gov/10788194/

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Impact of stereopsis on quality of life.

PURPOSE: To investigate the impact of stereopsis on vision-related quality of life and general health status of the elderly. METHODS: A quota of 200 subjects aged 65 years or older and had their households registered in Guando district was recruited for a general physical examination including ophthalmic evaluation. A structured questionnaire consisting of seven vision-specific items as well as 36-item short-form survey of the Medical Outcomes Study (SF-36) was administered. Stereoscopic level was divided into three groups: no stereopsis, gross stereopsis, and fine stereopsis. Fisher's exact test was used to detect any difference in subjective visual functioning and Mann-Whitney U test was used for analyses of SF-36 scores. RESULTS: A total of 187 volunteers were recruited and 150 were analysed for stereoscopic levels. There was no significant difference in vision-specific difficulty among the three stereoscopic groups. For SF-36, having no stereopsis scored significantly less than having gross (P=0.005) and fine (P<0.0001) stereopsis in the vitality/energy dimension. General health perception dimension fared significantly lower in the group with no stereopsis compared to the fine stereoscopic group (P=0.01). In multivariate analysis, having fine stereopsis scored significantly higher in the energy/vitality dimension than having no stereopsis (P=0.02). On the other hand, visual impairment imposed significant adverse effect on five vision-specific items and had no significant relationship with the eight dimensions of SF-36. CONCLUSIONS: Defective stereopsis in the elderly imposes no significant adverse effect on vision-related quality of life. However, subjects may feel more exhausted in accomplishing their usual tasks.

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Contributions of children's activities to pesticide hand loadings following residential pesticide application.

The role of children's activities in leading to pesticide exposure was evaluated by comparing pesticide loadings on the hands of children with the activities of the same children observed over a 4-h period. In all, 10 children ranging in age from 24 to 55 months were videotaped on the second day following a routine professional crack and crevice chlorpyrifos application in their homes. Before and following the video session, the children's hands were rinsed in isopropyl alcohol. Thus, only the chlorpyrifos that accumulated on and remained on the child's hands during the videotaping were removed for analysis after the videotaping session. The rinsate was analyzed for chlorpyrifos. The children's behaviors were quantified using virtual tracking device and the frequency and duration of behaviors, the hourly rate of behaviors, and the locations in which behaviors occurred were compared to hand loadings of pesticides. Pesticide hand loadings obtained following the videotaping sessions were associated with pesticide levels on surfaces and toys, but not with air levels. Pesticide loadings obtained following the videotaping sessions were also associated with frequencies, durations, and hourly rates of contact with bottles, and object-to-mouth behaviors, as well as contact duration with upholstered/textured surfaces. The hand loadings were also associated with the number of locations where the children exhibited object-to-mouth behavior and with children's use of house space during the videotaping sessions.

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Inmate exposure to secondhand smoke in correctional facilities and the impact of smoking restrictions.

This study was undertaken to measure the passive smoking exposure of prisoners at three correctional facilities in the US and to evaluate the effectiveness of a ban on smoking in reducing these exposures at two of these facilities. The average weekly concentration of nicotine was measured in fixed locations within the correctional facilities using passive samplers. Samples were collected before and after a smoking ban was instituted, and after the policy was modified to allow smoking outdoors. Samples were collected in the living areas, near where inmates slept and watched TV, and in selected central facilities, including dining halls, visiting rooms, booking areas, and learning centers. Average weekly concentrations of nicotine were measured in 84 locations while smoking was allowed; changes in these concentrations were measured with 112 weekly samples 4 and 9 months after the policy restricting smoking was implemented The average concentrations of nicotine were high while smoking was allowed: most living and sleeping areas averaged 3-11 microg/m(3), but the gym that was used as a bunkroom averaged 25 microg/m(3); these values compare to an average of 2 microg/m(3) in the homes of smokers. The smoking ban significantly reduced nicotine concentrations in the living areas (P<0.01 at facility A and P<0.05 at facility B) to averages of 1.5-2.2 microg/m(3); all postban samples were less than 5 microg/m(3). In conclusion, secondhand smoke concentrations in correctional facilities can be quite high; however, policies banning smoking are effective in reducing, but not eliminating, these exposures.

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