@article{(Open Science Index):https://publications.waset.org/pdf/10005385,
	  title     = {A Descriptive Study on Psychiatric Morbidity among Nurses Working in Selected Hospitals of Udupi and Mangalore Districts Karnataka, India},
	  author    = {Tessy Treesa Jose and  Sripathy M. Bhat},
	  country	= {},
	  institution	= {},
	  abstract     = {Nursing is recognized as a stressful occupation and has indicated a probable high prevalence of distress. It is a helping profession requiring a high degree of commitment and involvement. If stress is intense, continuous and repeated, it becomes a negative phenomenon or "distress," which can lead to physical illness and psychological disorders. The frequency of common psychosomatic symptoms including sleeping problems, tension headache, chronic fatigue, palpitation etc. may be an indicator of nurses’ work-related stress level. Objectives of the study were to determine psychiatric morbidity among nurses and to find its association with selected variables. The study population consisted of 1040 registered nurses working in selected medical college hospitals and government hospitals of Udupi and Mangalore districts. Descriptive survey design was used to conduct the study. Subjects were selected by using purposive sampling. Data were gathered by administering background proforma and General Health questionnaire. Severe distress was experienced by 0.9% of nurses and 5.6% had some evidence of distress. Subjects who did not have any distress were 93.5%. No significant association between psychiatric morbidity in nurses and demographic variables was observed. With regard to work variables significant association is observed between psychiatric morbidity and total years of experience (z=10.67, p=0.03) and experience in current area of work (z=9.43, p=0.02).},
	    journal   = {International Journal of Health and Medical Engineering},
	  volume    = {10},
	  number    = {9},
	  year      = {2016},
	  pages     = {458 - 462},
	  ee        = {https://publications.waset.org/pdf/10005385},
	  url   	= {https://publications.waset.org/vol/117},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 117, 2016},
	}