WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10004559,
	  title     = {Prevalence of Headache among Adult Population in Urban Varanasi, India},
	  author    = {Hari Shankar and  Kshitij Raj and  Priya Keshari and  Pragya Singh},
	  country	= {},
	  institution	= {},
	  abstract     = {Headache is one of the most ubiquitous and frequent
neurological disorders interfering with everyday life in all countries.
India appears to be no exception. Objectives are to assess the
prevalence of headache among adult population in urban area of
Varanasi and to find out factors influencing the occurrence of
headache. A community based cross sectional study was conducted
among adult population in urban area of Varanasi district, Uttar
Pradesh, India. Total 151 eligible respondents were interviewed by
simple random sampling technique. Proportion percentage and Chisquare
test were applied for data analysis. Out of 151 respondents,
majority (58.3%) were females. In this study, 92.8% respondents
belonged to age group 18-60 years while 7.2% was either 60 year of
age or above. The overall prevalence of headache was found to be
51.1%. Highest and lowest prevalence of headache was recorded in
age groups 18-29 year & 40-49 year respectively. Headache was
62.1% in illiterate and was 40.0% among graduate & above.
Unskilled workers had more headache 73.1% than other type of
occupation. Headache was more prevalent among unemployed
(35.9%) than employed (6.4%). Females had higher family history of
headache (48.9%) as compared to males (41.3%). Study subjects
having peaceful relation with family members, relatives and
neighbors had more headache than those having no peaceful relation.
 },
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {10},
	  number    = {5},
	  year      = {2016},
	  pages     = {281 - 284},
	  ee        = {https://publications.waset.org/pdf/10004559},
	  url   	= {https://publications.waset.org/vol/113},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 113, 2016},
	}