PubMed · 10295528
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B Hudson. 1989-09-14. When illness doesn't pay.. https://pubmed.ncbi.nlm.nih.gov/10295528/
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STUDY DESIGN: An observational follow-up. OBJECTIVES: To analyze the role of physical exercise and inactivity on the long-term outcome after active outpatient low back rehabilitation. SUMMARY OF BACKGROUND DATA: There is considerable evidence documenting the efficacy of exercise in the conservative treatment of chronic low back pain, but the role of exercises after the guided treatment period on the long-term success and maintenance of the results is not known. METHODS: One hundred twenty-five patients with low back pain, who had participated in a 12-week active low back rehabilitation program, were asked about subjective pain and disability on the average of 14 months after the treatment. The outcomes were defined as a recurrence of persistent pain and work absenteeism, and a survival or failure analysis was performed between those who had continued exercising and who had been physically inactive. RESULTS: Recurrences of persistent pain during the follow-up period were fewer (P = 0.03) among those who had maintained regular exercise habits after the treatment than among those who had been physically inactive. Similarly, work absenteeism was less (P < 0.01) among physically active than among physically inactive persons. However, patients with good outcome in pain reduction after low back pain rehabilitation were more likely to participate in physical exercise. CONCLUSIONS: Exercises are beneficial after guided treatment in the maintenance of the results of active treatment for recurrent chronic low back pain in the long term, but those with less favorable outcome in rehabilitation are less likely to participate in exercises afterward. In active treatment programs, it is recommended that exercises be incorporated after the guided treatment.
In this paper, the authors propose a new statistical modeling technique, the subject-domain approach, which is theoretically proven to be equivalent to the time-domain approach in detecting an association between exposure and response with time trends. The authors use an empirical data set from a school absence monitoring study conducted during the 1994-1995 school year in Taiwan to demonstrate this subject-domain approach's application to environmental epidemiologic studies. Because the subject-domain models can control the influential personal confounding factors in the models, they show greater statistical power than the traditional time-domain approaches in determining the relation between air pollution and illness absences. The authors' models found that the schoolchildren's risks of illness absence were significantly related to acute exposures to nitrogen dioxide and nitrogen oxides with a 1-day lag (p < 0.01) at levels below the World Health Organization's guidelines. By contrast, the authors could not detect significant associations between air pollution and schoolchildren's absenteeism using time-domain approaches. Such findings imply that the models built on subject domain may be a general solution to the problem of the ecologic fallacy, which is commonly encountered in environmental and social epidemiologic studies.
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