• Sleep Medicine and Psychophysiology
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• v.2 no.1
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• pp.82-90
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• 1995

Objectives : Insomnia is significantly influenced by the pre-sleep arousal, self efficacy, sleep hygiene, depression and anxiety. The authors tried to explore how these factors are related with the clinical features of sleep. Methods : Fifty three patients diagnosed as insomnia by DSM-IV criteria were studied. They filled up the pre-sleep arousal scale(PSAS), sleep efficacy scale(SES), sleep hygiene awareness and practice scale, BDI, and state and trait anxiety scales. Results: 1) The mean values of sleep-related variables were as follows : Sleep latency,136.89 minutes ; frequences of awakening during a night, 2.28 ; minutes to get back to sleep, 42.70 ; total sleep time, 180.19 minutes ; duration of illness, 72.00 months. 2) The mean scores of scales were as follows : PSAS(cognitive), 22.40 ; PSAS(somatic), 17.32 ; SES, 20.16 ; sleep hygiene knowledge, 25.96 ; caffein knowledge, 59.78 ; sleep hygiene practice, 42.12 ; BDI. 18.2 ; state anxiety, 41.24 ; trait anxiety ; 44.50. 3) In the subjects with superimposed depression, the mean frequency of awakening during a night and the mean pre-sleep arousal scale score were higher than in those without depression. 4) Frequency of awakening were correlated positively with a PSAS(a tight tense feeling in your muscle) and sleep hygiene awareness. PSAS(cognitive) were correlated positively with a PSAS(somatic). BDI correlated positively with a PSAS item(a jittery, nervous feeling in your body)and a SES item (not allow a poor night's sleep to interfere with daily activities). Anxiety scales were correlated positively with sleep hygiene practice scale sleep, and PSAS were correlated negatively with SES. Conclusions : The mean scores of PSAS, SES, sleep hygiene awareness and practice scale, BDI, state and trait anxiety scales of insomniacs were correlated either positively or negatively in insomnia patients. These factors seem to contribute to the development and maintainence of insomnia.

• Korean Journal of Construction Engineering and Management
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• v.8 no.4
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• pp.176-184
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• 2007

Recently, in the korean construction industry, the importance of cost management in the building design process has been grown up institutional systems and policies for the cost management of design stages are however weakness. Traditionally, the range of cost management has been limited to the construction stages, and due to inefficiency of the infrastructure such as standards and building cost data for cost management. It has trouble to perform the cost management in building design process. This study intends to derive key influence factors for raising efficiency of cost management. With questionnaire surveys to professionals, we analyze a current situations and the influence of obstacle factors on cost management. Finally, the key influence factors are induced, based on the result of the analysis on influence the obstacle factors.