摘要：Since Frankl (1985) has introduced the role of meaning in life in mental health, some psychologists tried to operationalize this concept and study in this field (Crumbaugh and Maholic, 1964; Batista & Almond, 1973; Steger et al., 2006). By development of new instrument in the domain of life's meaning by Schnell (2009), the wider investigation of mental health and meaning in life has been provided. The present study aims at determining the relationship between four sources of life including life meaningfulness, the crisis of life's significance, spirituality, and religiosity and indices of mental health. Therefore, a sample comprising 126 participants (53= female; 73= male) among the students of University of Tehran carried out the questionnaire for investigating the sources of life's meaning (SoMe) and a brief form for the scale of depression, anxiety, and stress (DASS-21). The results were analyzed by Pearson Correlation. Among the variables of life's meaning, the crisis of life's meaning showed the highest positive correlation with depression (r = 0.62, p ˂ 0.01) and stress (r = 0.39, p ˂ 0.01). Also, the life meaningfulness showed the highest negative relationship with depression (r = -0.52, p ˂ 0.01) and stress (r = - 0.34, p ˂ 0.01). In conclusion, considering the meaning of life as an important associate of mental health seems essential in order to decrease the depression and stress, and improving the general health of society.
其他摘要：The negative signs of stress can be reduced or even eliminated if they are recognized early. Hence, the level of stress needs to be continuously measured and reported especially if the stressors are frequent or continuous. M-health is a new technology to provide mobile healthcare services including mental and behavioral. It allows the healthcare specialists and patients are linked beyond their mobility and physical location while the system is connected. This paper presents the system model for an M-mental healthcare system which automatically detects stress. This system, which is called MSAS, continuously measures the stress level using wearable sensors connected to a mobile phone. The consumer gets alarm and/or the mental healthcare team receives a call if the stress level is recognized above a particular threshold. MathLab is used to simulate and evaluate MSAS. The results show that MSAS offers benefits to detect stress with an acceptable level of accuracy.
