The arterial lactate had a good predictive power in evaluating the prognosis of patients with acute paraquat poisoning. In the case of hospitals without facilities to test plasma paraquat concentration, measurement of the arterial lactate may be a simple and practical tool for assessing the severity of paraquat poisoning.

Occupational balance is an important variable associated with health and quality of life. This study aimed to investigate the influence of occupational balance on health, quality of life, and other health-related variables using structural equation modeling. We analyzed data from 208 adults over 55 years old. Mean age of the participants was 70.21 years (SD 7.22). The research model for analysis was based on the results of previous studies addressing occupational balance and related variables such as stress, leisure satisfaction, life satisfaction, subjective health, quality of life, and participation. General fit indices of the final model were acceptable (x2/df = 1.708, p < .001, RMSEA = .058, TLI = .923, CFI = .929, and SRMR = .067). Although the size of effect was small to medium (.157–.249), occupational balance was identified as an independent variable directly or indirectly affecting subjective health, quality of life, and health-related variables in the final model. Our results showed that it is possible to improve subjective health and quality of life by promoting better occupational balance. Further studies developing an intervention program based on occupational balance are required to confirm the feasibility of the intervention and its effect on older adults’ health and quality of life in real-life circumstances.

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Date Presented 03/26/20 The area of OT has been extended to preventive approaches from rehab. With regard to the increasing aging population, health professionals are trying to find effective approaches to maintaining and enhancing the health of healthy older adults. Although the concept of OB has a potential for preventive intervention, little is known about the scientific relationship between OB and health-related variables in older adults. Primary Author and Speaker: Sangmi Park Contributing Authors: Ji-Hyuk Park, Hae Jong Lee, Byoung-Jin Jeon, Eun Young Yoo, Jong Bae Kim

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Background:The purpose of this study is comparison of the results between regression and multi-level analysis to find out factors influencing outcome indicators (in-hospital death, length of stay, and medical charges) of stroke patients. Methods: By using patient sample data of Health Insurance Review & Assessment Service, patients admitted with stroke were selected as survey target and 15,864 patients and 762 hospitals were surveyed. Results: For the results of existing regression analysis and multi-level analysis, models were assessed through model suitability index value and as a result, the value of results of multi-level analysis decreased compared to the results of regression, showing it is a better model. Conclusion: Factors influencing in-hospital death of stroke patients were analyzed and as a result, intra-class correlation (ICC) was 13.6%. In factors influencing length of stay, ICC was 11.4%, and medical charges, ICC was 17.7%. It was found that factors influencing the outcome indicators of stroke patients may vary in every hospital. This study could carry out more accurate analysis than existing research findings through analysis of reflecting structure at patient level and hospital level factors and analysis on random effect.

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