<?xml version="1.0" encoding="utf-8"?>
<XML>
<JOURNAL>
<YEAR>2017</YEAR>
<VOL>6</VOL>
<NO>1</NO>
<MOSALSAL>19</MOSALSAL>
<PAGE_NO>73</PAGE_NO>


<ARTICLES>

	<ARTICLE> 
		<TitleF>The Effect of Sleep Quantity and Quality on Adults' Blood Pressure: Yazd, 2014-2015</TitleF>
		<TitleE>بررسی  رابطه  بین کیفیت و کمیت خواب و فشاری خون در بزرگسالان 70-20 ساله شهرستان یزد در سال 1394-1393</TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>سابقه و هدف: خواب یک اصل ضروری برای زندگی و برای حفظ عملکرد و سلامتی انسان دارای اهمیت فراوانی است.کمیت و کیفیت خواب می تواند فشارخون را تحت تأثیر قرار دهد. هدف از این پژوهش تعیین ارتباط کمیت و کیفیت خواب با پرفشاری خون است.

مواد وروش ها:این مطالعه به صورت مقطعی و با استفاده از داده های مطالعه سلامت مردم یزد (یاس)، انجام گردید. در این مطالعه حجم&#160; نمونه مورد بررسی 6964&#160; نفر از از افراد بزرگسال در گروه سنی &#160;20 تا 70 سال به روش نمونه گیری خوشه ای انتخاب شدند. داده ها با استفاده از آزمون های کای اسکور و رگرسیون لجستیک در نرم افزار &#160;SPSS نسخه 18 تجزیه و تحلیل شد.

یافته ها: ازمجموع شرکت کنندگان این مطالعه 3/50 درصد زن بودند.6/28 درصد شرکت کنندگان پرفشاری خون داشتند. 3/31درصد مردان و 9/25درصد زنان پرفشاری خون داشتند.کمترین میزان فشارخون بین 20-29 سال، 9/9 درصد و بیشترین میزان فشارخون بین سالهای 69-60 سال،6/49 درصد بود.آزمون کای اسکور برای بررسی طول مدت خواب) 0.001&#62;p ( و تعداد دفعات دیدن کابوس شبانه ) 0.016 (p= معنی دارشده بود.نسبت شانس تطبیق شده طول مدت خواب، جنس، گروهای&#160; سنی ، سطح تحصیلات، نمایه توده بدنی، اثر معنی داری بر روی فشار خون داشتند) 0.001&#62;p (. حدود نیمی از افراد اختلال در کمیت و کیفیت خواب را نشان دادند و حدود یک سوم شانس ابتلا به پرفشاری خون را داشتند.

نتیجه گیری: به طور کلی می توان نتیجه گرفت کمیت و کیفیت خواب افراد مورد بررسی در حد قابل قبول نمی باشد و نیاز به توجه ویژه دارد. در مجموع می توان گفت یافته های مطالعه حاضر اهمیت توجه به کمیت و کیفیت خواب در پیشگیری از بروز فشارخون را نشان می دهد.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Sleep is an essential part of life and is of utmost importance in preserving human health and performance. The quantity and quality of sleep can affect blood pressure. The objective of this paper was to determine the relationship of sleep quantity and quality with high blood pressure.

Methods: This profile study utilized the data of Health Study Program in Yazd. The population contained 6964 adults in the age range of 20 to 70 years, selected using cluster sampling method. The data were analyzed using chi-squared (X2) and Logistic Regression tests via SPSS (ver. 18) software.

Results: Generally, 50.3% of the participants were female, 28.6% of them had high blood pressure; 31.3% of men and 25.9% of women had high blood pressure. The lowest rate of blood pressure happened within participants with
20-29 years of age, i.e., 9.9%, while the highest rate was related to individuals of 60-69 years old, i.e., 49.6%. X2 test yielded significant results for sleep duration (p&#60;0.001) and nightmare frequency (p=0.016). The adjusted chance of sleep duration, gender, age groups, educational levels, and body mass index (BMI) had significant effects on blood pressure (p&#60;0.001). Half of the participants showed sleep dysfunctions in terms of quantity and quality, and one-third were likely to come down with high blood pressure.

Conclusion: It can be concluded that the sleep quantity and quality of the studied people were not at a desirable level; it needs high attention. It can be maintained that the findings of the current study indicated the importance of paying attention to the quality and quantity of sleep in preventing the incidence of high blood pressure.&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>1</FPAGE>
			<TPAGE>9</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2016/08/25
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1395/6/4
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2017/02/20
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1395/12/2
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>حسین</Name>
				<MidName></MidName>
				<Family>فلاح زاده</Family>
				<NameE>Hossein</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Fallahzadeh</FamilyE>
				<Organizations>
				<Organization>Prevention and Epidemiology of Non-communicable Disease Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email>fallahzadeh.ho@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>محمدحسن</Name>
				<MidName></MidName>
				<Family>لطفی</Family>
				<NameE>Mohammad Hassan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Lotfi</FamilyE>
				<Organizations>
				<Organization>Department of Biostatistics and Epidemiology, Health Faculty, Shahid Sadoughi University of Medical Sciences, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email>mhlotfi56359@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>جبار</Name>
				<MidName></MidName>
				<Family>شفیعی</Family>
				<NameE>Jabbar</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shafiei</FamilyE>
				<Organizations>
				<Organization>Department of Statistics and Epidemiology, Shahid Sadoughi University of Medical Sciences, International Campus, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email>kamiar.shafiei@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Sleep Quantity</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Sleep Duration</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Sleep Quality</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Blood Pressure</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>کمیت خواب</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>کیفیت خواب</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>پرفشاری خون</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>. Effat panah M, Ghaleh bandi F, Effat panah H, et al. study sleep quality Tehran's bus drivers inter-city passenger terminal. payesh journal. 2012; 11(4): 90-485.[persian].##2. Buysse DJ, Reynolds CF, Monk TH, et al. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry research. 1989; 28(2): 193-213.##3 .	Dewald JF, Meijer AM, Oort FJ, et al. The influence of sleep quality, sleep duration and sleepiness on school performance in children andadolescents: a meta-analytic review. Sleep medicine reviews. 2010;14(3): 89-179.##4 .	Alimrezaei R, Azizzadeh Forouzi M, Abazari F, et al. Sleep Quality and some Associated Factors in Kerman Students of Nursing and Midwifery. Journal of Health &amp; Development. 2015; 4(2): 140-0.##5.	 Ozgoli G, Sheikhan Z, Soleimani F, et al. A Study of EffectiveFactors on Sleep Disorders in 4-6 Years old Children in Tehran City, Iran. Qom University of Medical Sciences Journal. 2015; 9(5): 50-60.##6. 	Mellinger GD, Balter MB, Uhlenhuth EH. Insomnia and its treatment: prevalence and correlates. Archives of general psychiatry. 1985; 42(3): 225-35.##7. 	Arasteh M, Yousefi F, Sharifi Z. Investigation of sleep quality and its influencing factors in patients admitted to the gynecology and general surgery of besat hospital in sanandaj. Medical Journal of Mashhad University of Medical Sciences. 2014; 57(6): 762-9.##8. 	Asghari A, Farhadi M, Kamrava SK, et al. Subjective sleep quality in urban population. Archives of Iranian medicine. 2012; 15(2): 8-95.##9.	 Alwan A. Global status report on noncommunicable diseases 2010. World Health Organization; 2011.##10.	mirkarimi k, Honarvar M, Ariaie M, et al. Effect of Motivational Interviewing on Adherence to Treatment in Patients with Hypertension. Quarterly of Horizon of Medical Sciences. 2015; 21(3): 213-20.##11.	Malekzadeh MM, Etemadi A, Kamangar F, et al. Prevalence, awareness and risk factors of hypertension in a large cohort of Iranian adult population. Journal of hypertension. 2013; 31(7): 1364-71.##12.	Lu K, Ding R, Tang Q, et al. Association between self-reported global sleep status and prevalence of hypertension in Chinese adults: Data from the Kailuan community. International journal of environmental research and public health. 2015; 12(1): 488-503.##13.	Gaffari F, Zeighami MS. Frequency of daytime sleepiness in hypertensive women. Scientific Journal of Hamadan Nursing &amp; Midwifery Faculty. 2011; 19(1): 5-15.##14.	Javaheri S, Storfer-Isser A, Rosen CL, et al. Sleep quality and elevated blood pressure in adolescents. Circulation. 2008; 118(10): 1034-40 .##15.	Sforza E, Saint Martin M, Barthelemy JC, et al. Association of self-reported sleep and hypertension in non-insomniac elderly subjects. Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine. 2014; 10(9): 71-965.##16.	Mirzaei M, Akbari Z, Fallahzadeh H. The relationship between sleep quantity and quality and the incidence of diabetes mellitus. KAUMS Journal ( FEYZ ). 2015; 19(5):430-37.[persion]##17.	Pepin J-L, Borel A-L, Tamisier R, et al. Hypertension and sleep: overview of a tight relationship. Sleep medicine reviews. 2014; 18(6): 509-19.##18.	Fuchs FD. Prehypertension: the rationale for early drug therapy. Cardiovascular therapeutics. 2010; 28(6): 339-43##19.	Azizi F, Ghanbarian A, Madjid M, et al. Distribution of blood pressure and prevalence of hypertension in Tehran adult population: Tehran Lipid and Glucose Study (TLGS), 1999-2000. Journal of human hypertension. 2002; 16(5): 305-12.##20.	Hatmi Z, Tahvildari S, jafarzade Motlag AG, et al. Prevalence of coronary artery disease risk factors in Iran: a population based survey. BMC Cardiovascular Disorders. 2007; 7(1): 32.##21.	Taylor DJ, Lichstein KL, Durrence HH. Insomnia as a health risk factor. Behavioral sleep medicine. 2003; 1(4): 47-277.##22.	Gottlieb DJ, Redline S, Nieto FJ, et al. Association of usual sleep duration with hypertension: the Sleep Heart Health Study. Sleep-New york Then Westchester. 2006;29(8):1009-14.##23.	Logan AG, Tkacova R, Perlikowski SM, et al. Refractory hypertension and sleep apnoea: effect of CPAP on blood pressure and baroreflex. European Respiratory Journal. 2003;21(2):241-7.##24.	Houyez F, Degoulet P, Cittee J, et al. Sleep and hypertension. An epidemiologic study in 7,901 workers. Archives des maladies du coeur et des vaisseaux. 1990; 83(8):1085-8.##25.	Swart ML, Van Schagen AM, Lancee J, et al. Prevalence of nightmare disorder in psychiatric outpatients. Psychotherapy and psychosomatics. 2013;82(4):267-8.##26.	Semiz UB, Basoglu C, Ebrinc S, et al. Nightmare disorder, dream anxiety, and subjective sleep quality in patients with borderline personality disorder. Psychiatry and Clinical Neurosciences. 2008; 62(1):48-55##27.	Subramanyam MA, James SA, Diez-Roux AV, et al. Socioeconomic status, John Henryism and bloodpressure among African-Americans in the Jackson Heart Study. Social Science &amp; Medicine.2013; 93: 139-46.##28.	Wu WH, Yang L, Peng FH, et al. Lower socioeconomic status is associated with worse outcomes in pulmonary arterial hypertension. American journal of respiratory and critical care medicine. 2013; 187(3): 303-10##29.	Hawkins NM, Jhund PS, McMurray JJ, et al. Heart failure and socioeconomic status: accumulating evidence of inequality. European journal of heart failure. 2012; 14(2): 138-46.##30.	Gaffari F, Zeighami M. Frequency of daytime sleepiness in hypertensive women. 2011; 19(1): 5- 15.##31.	McEniery CM, Wilkinson IB, Avolio AP. Age, hypertension and arterial function. Clinical and Experimental Pharmacology and Physiology. 2007; 34(7): 665-71.##32.	Basile AM, Pantoni L, Pracucci G, et al. Age, hypertension, and lacunar stroke are the major determinants of the severity of age-related white matter changes. Cerebrovascular diseases. 2006; 21(5-6): 315-22.##33.	Blumenthal JA, Thyrum ET, Siegel WC. Contribution of job strain, job status and marital status to laboratory and ambulatory blood pressure in patients with mild hypertension. Journal of Psychosomatic Research. 1995;39(2):##133-44.##34.	Holt Lunstad J, Birmingham W, Jones BQ. Is there something unique about marriage? The relative impact of marital status, relationship quality, and network social support on ambulatory blood pressure and mental health. Annals of behavioral medicine. 2008; 35(2):239-44.##35.	Statistics NCfH. Health Risk Factors. 2014.## #### ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Evaluation of Physical Activity Status among Yazd High School Students on the Model of the World Health Organization in 2015</TitleF>
		<TitleE>بررسی وضعیت فعالیت فیزیکی در دانش آموزان پسر دوره متوسطه شهریزد بر اساس الگوی سازمان جهانی بهداشت در سال1395</TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقدمه :

با توجه به گذار اپیدمیولوژی از بیماری&#173;های واگیر&#160; به بیماری&#173;های مزمن غیرواگیر ، دو مقوله افزایش فعالیت فیزیکی و بهبود وضعیت تغذیه از جمله راهکارهای مقابله با بیماری&#173;های مزمن&#160; مانند بیماری&#173;های قلبی عروقی، سرطان&#173;ها و حملات قلبی که سه علت مهم مرگ&#173;ومیر در بالغین بالای 18 سال می&#173;باشند عنوان شده است. بنابراین فعالیت بدنی منظم برای بهبود سلامت عمومی و به طور غیرمستقیم جهت کاهش بار بیماری و هزینه&#173;های پزشکی در جوامع توصیه می&#173;گردد. هدف از این مطالعه تعیین وضعیت فعالیت فیزیکی در دانش آموزان پسر دوره متوسطه یزد بر اساس الگوی سازمان جهانی بهداشت در سال 1395 بود.

مواد و روش ها: در این مطالعه توصیفی مقطعی 1018 نفر از دانش آموزان پسر دوره متوسطه ( دوره اول &#8211; دوره دوم (در سال تحصیلی 95-1394 ساکن شهر یزد شرکت نمودند. روش نمونه گیری از نوع چند مرحله ای با استفاده از روش نمونه گیری خوشه&#173;ای و طبقه&#173;ای &#160;بود. روش جمع آوری اطلاعات نیز&#160;با استفاده از پرسشنامه استاندارد شده (GSHS) سازمان جهانی بهداشت بوده که به زبان فارسی ترجمه شده است. بعد از تکمیل پرسشنامه توسط دانش آموزان، اطلاعات وارد نرم افزار SPSS16 شده و مورد تجزیه و تحلیل قرار گرفت.

یافته ها: در بین شرکت کنندگاه فقط 112 نفر (6/11درصد) انجام فعالیت بدنی حداقل برای&#160; 60 دقیقه در روز را ذکر نمودند. 531 نفر ( 55 درصد) از افراد مورد مطالعه انجام فعالیت&#173;های ساکن در یک نقطه مانند تماشای تلوزیون و یا بازی کامپیوتری را بمدت بیش از 2 ساعت در 24 ساعت طی یک روز عادی را ذکر نمودند. بر اساس شاخص توده بدنی 23/18 درصد چاق و 22/13 درصد اضافه وزن داشتند.


بحث و نتیجه گیری: نتایج این مطالعه حاکی از این است که سطح فعالیت بدنی دانش&#173;آموزان در مدارس وضعیت مناسبی ندارد و میزان فعالیت فیزیکی در بین نوجوانان و دانش&#173;آموزان نسبت به استانداردهای اعلام شده از سوی سازمان جهانی بهداشت پایین است.&#160; می&#173;توان با افزایش امکانات ورزشی، آموزش بیشتر و موثرتر در مدارس&#160; درمورد &#160;فواید فعالیت بدنی کافی در طول روز و افزایش آگاهی دانش&#173;آموزان و والدین آن&#173;ها میزان فعالیت بدنی را در سطح اقشار مختلف جامعه خصوصا دانش&#173;آموزان که یکی از تاثیرپذیرترین گروه&#173;ها و در سن شکل گیری رفتارها هستند بهبود بخشید.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Physical activity and healthy eating at an early age are two key elements in prevention of Non-Communicable Diseases. Therefore, regular physical activity is recommended to improve public health and to reduce the burden of diseases and medical costs in communities. The aim of this study was to determine the status of physical activity in Yazd high school students

Methods: A total number of1018 male high school students participated in this cross-sectional study. They were permanent residents of Yazd city in the school year of 2015-2016.

Multistage cluster classification and stratified sampling methods were applied to collect samples. A validated Persian standardized World Health Organization questionnaire (GSHS) was used as a data collection tool. After completing the questionnaire by students, data were analyzed by SPSS.

Results: only 11.6 % of participants reported physical activity for at least 60 minutes a day. Inert activities such as watching television or playing computer games for more than 2 hours during a typical day was reported by 531 participants (55 %). Based on body mass index, 18.23 % of students were obese and 13.22 % were overweight.

Discussion and conclusion: The results of this study suggest that the level of students&#39; physical activities is low. Paying more attention to physical activity and designing curriculums that devote more hours for physical activities are recommended. Encouraging physical activity in leisure time and providing proper facilities for adolescents are further suggestions.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>10</FPAGE>
			<TPAGE>17</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2016/08/252016/09/2
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1395/6/12
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2017/02/202017/02/26
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1395/12/8
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>محمود</Name>
				<MidName></MidName>
				<Family>وکیلی</Family>
				<NameE>Mahmood</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Vakili</FamilyE>
				<Organizations>
				<Organization>Department of Community Medicine, Health Monitoring Research Center, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>محسن</Name>
				<MidName></MidName>
				<Family>میرزایی</Family>
				<NameE>Mohsen</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mirzaei</FamilyE>
				<Organizations>
				<Organization>Department of Community Medicine, Health Monitoring Research Center, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ذبیح الله</Name>
				<MidName></MidName>
				<Family>محقق</Family>
				<NameE>Zabihullah</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mohaqiq</FamilyE>
				<Organizations>
				<Organization>Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>منصور</Name>
				<MidName></MidName>
				<Family>احمدی</Family>
				<NameE>Mansour</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ahmadi</FamilyE>
				<Organizations>
				<Organization>School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>احسان</Name>
				<MidName></MidName>
				<Family>علوی راد</Family>
				<NameE>Ehsan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>alavirad</FamilyE>
				<Organizations>
				<Organization>School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Physical activity</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Male students</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>GSHS</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>فعالیت فیزیکی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>دانش آموزان پسر</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>پرسشنامه GSHS</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>یزد</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1.	Khodamoradi F, Mozafarsaadati H, Nabavi S, et al. Survey of physical activity level and stage of change among high school. Journal of North Khorasan University of Medical Sciences. 2014;6(2):289-95.##2.	Bobadilla JL, Frenk J, Lozano R, et al. The epidemiologic transition and health priorities.edited by Dean T. Jamison et al.. New York, Oxford University Press, 1993.##3.	Mackenbach J. The epidemiologic transition theory. J Epidemiol Community Health. 1994;48: 329-331.##4.	Yusuf S, Reddy S, Ounpuu S, et al. Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001;104(22):2746-53.##5.	Neumark-Sztainer D, Story M, Hannan P, et al. Factors associated with changes in physical activity: a cohort study of inactive adolescent girls. Archives of pediatrics &amp; adolescent medicine. 2003;157(8):803-10.##6.	Pender N, Bar-Or O, Wilk B, et al. Self-efficacy and perceived exertion of girls during exercise. Nursing research. 2001;51(2):86-91.##7.	Tamimi H, Noroozi A. Determinants of Physical Activity in High School Girl Students: Study Based on Health Promotion Model (HPM). Journal of Health. 2015;6(5):527-37.##8.	Drenowatz C, Carlson JJ, Pfeiffer KA, et al. Joint association of physical activity/screen time and diet on CVD risk factors in 10-year-old children. Frontiers of medicine. 2012;6(4):428-35.##9.	Salmon J, Campbell K, Crawford D. Television viewing habits associated with obesity risk factors: a survey of Melbourne schoolchildren. The Medical journal of Australia. 2006;184(2):64-7.##10.	Ziaee V, Kelishadi R, Ardalan G, et al. Physical activity in Iranian students CASPIAN Study. Iranian Journal of Pediatrics. 2006;16(2):157-64.##11.	Mousaviraja A, Nasirzadeh M, Aligol M, et al. Personality type and drug abuse among Iranian young adults: A comparative study. Life Sci J. 2014;11(4s):251-6.##12.	Tudor-Locke C, Craig CL, Rowe DA, et al. How many steps/day are enough? for children and adolescents| NOVA. The University of Newcastle's Digital Repository. International Journal of Behavioral Nutrition and Physical Activity 2011;8(78). http://dx.doi.org/10.1186/1479-5868-8-78##13.	World Health Organization. Global recommendations on Physical Activity for health: World Health Organization; 2010.##14.	World Health Organization. Global strategy on diet, physical activity and health. 2015. URL http://www who int/dietphysicalactivity/childhood/en/(accessed 23 August 2014). 2015.##15.	Jalili M, Nazem F, Heydarianpur A. Impacts of pedometer determined physical activity on biochemical risk factors of the cardiovascular system. Scientific Research and Essays. 2011;6(25):5457-61.##16.	Safiri S, Kelishadi R, Qorbani M, et al. Association of Dietary Behaviors with Physical Activity in a Nationally Representative Sample of Children and Adolescents: the CASPIAN-IV Study. International Journal of Pediatrics. 2016;4(3):1505-17.##17.	Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity. 2011;8(1):98.##18.	Onis M. WHO Child Growth Standards based on length/height, weight and age. Acta paediatrica. 2006;95(S450):76-85.##19.	Ziaei R, Dastgiri S, Soares J, et al. Reliability and Validity of the Persian Version of Global School-based Student Health Survey Adapted for Iranian School Students. Journal of Clinical Research &amp; Governance. 2014;3(2):134-40.##20.	Janssen I, LeBlanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. The International Journal of Behavioral Nutrition and Physical Activity. 2010;7:40.##21.	Ghrayeb FA, Mohamed Rusli A, Al Rifai A, et al. The Prevalence of Physical Activity and Sedentary Lifestyle among Adolescents in Palestine.##22.	Kelishadi R, Ardalan G, Gheiratmand R, et al. Association of physical activity and dietary behaviours in relation to the body mass index in a national sample of Iranian children and adolescents: CASPIAN Study. Bulletin of the World Health Organization. 2007;85(1):19-26.##23.	Zaree M, Hamedinia M, Haghighi A, et al. Relationship physical activity level and sedentary behaviors with diet patterns among 12-14 years_old student boys in Sabzavar. Journal of Sabzavar Universityof Medical Science 2013;19(4):371-381.##24.	Magnusson M, Hulthén L, Kjellgren K. Obesity, dietary pattern and physical activity among children in a suburb with a high proportion of immigrants. Journal of human nutrition and dietetics: The Official Journal of the British Dietetic Association. 2005;18(3):187-94.##25.	Dearden J, Sheahan S. Counseling middle-aged women about physical activity using the stages of change. Journal of the American Academy of Nurse Practitioners. 2002;14(11):492-7.##26.	BashiriMoosavi F, Farmanbar R, Taghdisi M, et al. Level of Physical Activity among Girl High School Students In Tarom County and Relevant Factors. Iranian Journal of Health Education and Health Promotion. 2015;3(2):133-40.##27.	Hawkins SA, Cockburn MG, Hamilton AS, et al. estimate of physical activity prevalence in a large population-based cohort. Medicine and science in sports and exercise. 2004;36(2):253-60.##28.	Azarbayjani MA, Tojari F, Habibinejad M. The relation between obesity, physical activity and socioeconomic status among girl students living in northern Tehran. KAUMS Journal (FEYZ). 2011;15(2):132-8 [Persian]##29.	Didarloo A, Azizzadeh T, Alizade M, et al. Survey of obsity, underwight, physical activity level and dietray consumption among male student in guidance schools of makoo. Journal of Urmia Nursing And Midwifery Faculty. 2013;11(4):275-283.[Persian]## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>An Approach to Management of Health Care and Medical Diagnosis Using of a Hybrid Disease Diagnosis System</TitleF>
		<TitleE>رویکردی برای مدیریت سلامت  و تشخیص پزشکی با استفاده از یک سیستم بیماری تشخیص ترکیبی </TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>زمینه: در این مقاله، به منظور ساده&#173;سازی تبادل اطلاعات در فرایند تشخیص پزشکی و بدون نیاز به حضور فیزیکی متخصصان پزشکی، از عامل&#173;های نرم&#173;افزاری استفاده شده است. هدف از استفاده از عامل&#173;ها، اجازه برقراری تبادل اطلاعات بطورخودکار میان متخصصین پزشکی در حوزه&#173;های متفاوت می&#173;باشد.

روش: این مقاله&#160; یک ساختار ترکیبی برای تشخیص بیماری ارائه داده و از یک روش رایانش نرم، جهت ایجاد یک پایگاه اطلاعات پزشکی استفاده می&#173;کند. این سیستم بر پایه توانایی های شبکه های عصبی مصنوعی، منطق فازی و الگوریتم ژنتیک ارائه شده، که برای پوشش ضعف های یکدیگر با هم ترکیب می شوند. برای تمام عامل&#173;ها در یک سیستم، ورودی علائم بیماری و خروجی، تشخیص بیماری می&#173;باشد.

یافته&#173;ها: نتایج آزمایشات بر روی پایگاه داده سرطان سینه نشان داده شده است. برای بررسی الگوریتم یادگیری ترکیبی و مقایسه آن با دیگر روشها، ۶۹۹ نمونه در هر آزمایش بررسی شدند که در آن ۶۰٪ برای آموزش ، ۲۰٪ برای ارزیابی متقابل و ۲۰٪ برای تست (۱۳۹ نمونه). نتایج نشان می&#173;دهندکه عملکرد روش ارائه شده از روش ترکیب شبکه عصبی با منطق فازی بهتر است ، اما روش شبکه عصبی با الگوریتم ژنتیک از روش ترکیبی نتایج بهتری بدست می&#173;دهد.

نتیجه گیری: ساده&#173;سازی فرایند تشخیص بیماری با تفکیک مفاهیم حوزه&#173;ی پزشکی (مانند: علل، تأثیرات، علائم، آزمایش&#173;ها) در سیستم&#173;های مختلف بدن انسان مانند تنفسی، قلبی- عروقی از طریق ارتباط دهی بین علائم مشترک بیماری&#173;ها امکان&#173;پذیر می&#173;شود. بنابراین، تشخیص متخصصین مختلف بطور موازی رخ می&#173;دهد و مشاهدات آنلاین بر روی مفاهیم مشترک بین این سیستم&#173;ها بطور خودکار در پایگاه داده به اشتراک گذاشته می&#173;شود. این مسئله در سطح مفاهیم تشخیص، یک پایداری مشترک از عامل&#173;های را در سیستم ایجاد می&#173;کند.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: In order to simplify the information exchange within the medical diagnosis process, a collaborative software agent&#8217;s framework is presented. The purpose of the framework is to allow the automated information exchange between different medicine specialists.

Methods: This study presented architecture of a hybrid disease diagnosis system. The architecture employed a learning algorithm and used soft computing to build a medical knowledge base. These machine intelligences are combined in a complementary approach to overcome the weakness of each other. To evaluate the hybrid learning algorithm and compare it with other methods, 699 samples were used in each experiment, where 60% was for training, 20% was for cross validation, and 20% for testing.

Results: The results were obtained from the experiments on the breast cancer dataset. Different methods of soft computing system were merged to create diagnostic software functionality. As it is shown in the structure, the system has the ability to learn and collect knowledge that can be used in the detection of new images. Currently, the system is at the design stage. The system is to evaluate the performance of hybrid learning algorithm. The preliminary results showed a better performance of this system than other methods. However, the results can be tested with hybrid system on larger data sets to improve hybrid learning algorithm.

Conclusion: The purpose of this paper was to simplify the diagnosis process of a patient by splitting the medical domain concepts (e.g., causes, effects, symptoms, tests) in human body systems (e.g., respiratory, cardiovascular), though maintaining the holistic perspective through the links between common concepts.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>18</FPAGE>
			<TPAGE>33</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2016/08/252016/09/22016/11/8
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1395/8/18
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2017/02/202017/02/262017/03/4
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1395/12/14
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>حجت اله</Name>
				<MidName></MidName>
				<Family>حمیدی</Family>
				<NameE>Hodjat</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Hamidi</FamilyE>
				<Organizations>
				<Organization>Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email>h_hamidi@kntu.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>مریم</Name>
				<MidName></MidName>
				<Family>جهانشاهی</Family>
				<NameE>Maryam</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jahanshhi</FamilyE>
				<Organizations>
				<Organization>Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email>hamidi_h1389@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Medical diagnosis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Diagnosis process</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Genetic algorithms</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Ontology</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تشخیص پزشکی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>رایانش نرم</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شبکه عصبی مصنوعی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>منطق فازی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>الگوریتم ژنتیک</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>عامل های نرم افزاری</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>A Probabilistic Model for COPD Diagnosis and Phenotyping Using Bayesian Networks</TitleF>
		<TitleE>مدل احتمالی برای تشخیص بیماری های مزمن ریوی و فنوتایپهای آن با استفاده از شبکه های بیزین</TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>هدف: این پژوهش به منظور مدلی برای تشخیص COPD و دسته بندی موارد به فنوتایپهای آن که به طور کلی شامل برونشیت مزمن، آمفیزم و آسم با استفاده از شبکه های بیزین&#160;ارائه&#160;می شود.

مواد و روشها: ساختار این مدل از طریق ایجاد ساختار شبکه های بیزین و نمونه سازی پارامترها برای هر کدام از متغیرها بدست آمده است. به منظور ارزیابی نتایج، از همان مجموعه داده در نرم افزار شبکه عصبی با استفاده از الگوریتم لونبرگ استفاده شد.. علاوه بر این cardDign ایجاد شد، نرم افزار C++ ما را برای دسته بندی COPD به فنوتایپ ها و به تصویر کشیدن روابط بین فنوتایپ های COPD قادر می سازد.

یافته ها: نتایج نشان می دهد که شبکه بیزین می تواند به منظور ایجاد یک مدل احتمالی برای تشخیص و دسته بندی موارد COPD به فنوتایپ مربوطه به طور موفق به کار گرفته شود.

نتیجه گیری: مدلی برای دسته بندی COPD به فنوتایپ ها شامل برونشیت مزمن، آمفیزم، آسم با موفقیت ایجاد شد. به علاوه یافته ها برای ارائه بازنمایی گرافیکی فنوتایپ های COPD و چگونگی روابط فنوتایپ ها با یکدیگر یاری رسان باشد. همچنین دیده شد که COPD بیشترین رابطه را با افراد 40 ساله یا مسن تر داشت. به طور کلی سیگار دلیل اصلی COPD است.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: This research was meant to provide a model for COPD diagnosis and to classify the cases into phenotypes; General COPD, Chronic bronchitis, Emphysema, and the Asthmatic COPD using a Bayesian Network (BN).

Methods: The model was constructed through developing the Bayesian Network structure and instantiating the parameters for each of the variables. In order to validate the achieved results, the same data set was applied to a neural network application using the Levenberge- Marquardt algorithm. Furthermore, a card Diag, a C++ application that enables graphical classification of COPD into phenotypes and depicts the relationships of COPD phenotypes was developed.

Results: The results showed that a Bayesian Network can be successfully applied to develop a probabilistic model for diagnosis and classification of COPD cases into the corresponding phenotypes.

Conclusions: A model that classifies COPD cases into phenotypes of general COPD, Chronic bronchitis, Emphysema, and Asthmatic COPD was successfully developed. Moreover, the achieved results also helped to represent graphical representations of COPD phenotypes and explained how the phenotypes relate to each other. It was also observed that COPD is mostly associated with people aged 40 years or older. Overall, smoking is the major cause of COPD.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>34</FPAGE>
			<TPAGE>43</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2016/08/252016/09/22016/11/82016/07/3
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1395/4/13
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2017/02/202017/02/262017/03/42017/03/18
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1395/12/28
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>لیلا</Name>
				<MidName></MidName>
				<Family>شاهمرادی</Family>
				<NameE>Leila</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shahmoradi</FamilyE>
				<Organizations>
				<Organization>Tehran University of Medical Sciences-International Campus (TUMS-IC), Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>آموس</Name>
				<MidName></MidName>
				<Family>آلوندو</Family>
				<NameE>Amos</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Otieno Olwendo</FamilyE>
				<Organizations>
				<Organization>Tehran University of Medical Sciences-International Campus (TUMS-IC), Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>حسین</Name>
				<MidName></MidName>
				<Family>عرب- علی بیک</Family>
				<NameE>Hussein</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Arab-Alibeik</FamilyE>
				<Organizations>
				<Organization>Tehran University of Medical Sciences-International Campus (TUMS-IC), Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>خسرو</Name>
				<MidName></MidName>
				<Family>اجین</Family>
				<NameE>Khosrow</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Agin</FamilyE>
				<Organizations>
				<Organization>Tehran University of Medical Sciences-International Campus (TUMS-IC), Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>سوگند</Name>
				<MidName></MidName>
				<Family>ستاره</Family>
				<NameE>sougand</NameE>
				<MidNameE></MidNameE>
				<FamilyE>setareh</FamilyE>
				<Organizations>
				<Organization>Department of Medical Informatics, Tarbiat Modares University of Medical Science, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Bayesian networks</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>COPD Diagnosis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>COPD Phenotypes</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Noisy-OR CPD</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شبکه های بیزین</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تشخیص بیماری مزمن ریوی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>فنوتایپ</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Noisy-OR CPD</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1.	Vestbo J, Hurd SS, Agusti AG, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. American journal of respiratory and critical care medicine. 2013;187(4):347-65.##2.	Murray JF, Mason RJ. Murray and Nadel's textbook of respiratory medicine. 5th ed. Philadelphia, PA: Saunders/Elsevier; 2010.##3.	Agin K, Namavary D. Inflammatory Biomarker of Peripheral CRP and Analyzing Serum Trace Elements like Zinc, Copper, and Cu to Zn Ratios in Stable Chronic Obstructive Pulmonary Disease: Tehran-Iran. International Journal of Medical Toxicology and Forensic Medicine. 2013;2(4 (Autumn)):116-23.##4.	Pauwels RA, Buist AS, Calverley PM, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary. American journal of respiratory and critical care medicine. 2001;163(5):1256-76.##5.	Zhou S, Wright JL, Liu J, et al. Aging does not Enhance Experimental Cigarette Smoke-Induced COPD in the Mouse. PloS one. 2013;8(8):e71410.##6.	Wewers MD, Crystal RG. Alpha-1 antitrypsin augmentation therapy. Copd. 2013;10 Suppl 1:64-7.##7.	Joshi S, Joshi H, editors. SVM Based Clinical Decision Support System For Accurate Diagnosis Of Chronic Obstructive Pulmonary Disease. International Journal of Engineering Research and Technology; 2013: ESRSA Publications.##8.	Er O, Temurtas F. A study on chronic obstructive pulmonary disease diagnosis using multilayer neural networks. Journal of medical systems. 2008;32(5):429-32.##9.	Er O, Sertkaya C, Temurtas F, et al. A comparative study on chronic obstructive pulmonary and pneumonia diseases diagnosis using neural networks and artificial immune system. Journal of medical systems. 2009;33(6):485-92.##10.	Barnett M. Chronic obstructive pulmonary disease in primary care. Chichester, West Sussex, England ; Hoboken, NJ: Wiley; 2006. p. p.##11.	Nilashi M, Ibrahim O, Ahmadi H, et al. A knowledge-based system for breast cancer classification using fuzzy logic method. Telematics and Informatics. 2017;34(4):133-44.##12.	Shahmoradi L, Ahmadi M, Sadoughi F, et al. A comprehensive model for executing knowledge management audits in organizations: a systematic review. The health care manager. 2015;34(1):28-40.##13.	Shahmoradi L, Karami M, Farzaneh Nejad A. Auditing Knowledge toward Leveraging Organizational IQ in Healthcare Organizations. Healthcare informatics research. 2016;22(2):110-9.##14.	Koller D, Friedman N. Probabilistic graphical models : principles and techniques. Cambridge, MA: MIT Press; 2009. xxi, 1231 p. p.##15.	Barber D. Bayesian reasoning and machine learning. Cambridge ; New York: Cambridge University Press; 2011. xxiv, 697 p. p.##16.	Srinivas S. A generalization of the noisy-or model. Proceedings of the Ninth international conference on Uncertainty in artificial intelligence; Washihgton, DC. 2074499: Morgan Kaufmann Publishers Inc.; 1993. p. 208-15.##17.	Kermani BG, Schiffman SS, Nagle HT. Performance of the Levenberg–Marquardt neural network training method in electronic nose applications. Sensors and Actuators B: Chemical. 2005;110(1):13-22.##18.	Hagan MT, Menhaj MB. Training feedforward networks with the Marquardt algorithm. IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council. 1994;5(6):989-93.##19.	Thomsen LP, Weinreich UM, Karbing DS, et al. Can computed tomography classifications of chronic obstructive pulmonary disease be identified using Bayesian networks and clinical data? Computer Methods and Programs in Biomedicine. 2013;110(3):361-8.##20.	Ryynanen O-P, Soini E, Lindqvist A, et al. Bayesian predictors of very poor health related quality of life and mortality in patients with COPD. BMC Medical Informatics and Decision Making. 2013;13(1):34.##21.	van der Heijden M, Lucas PJF. Describing disease processes using a probabilistic logic of qualitative time. Artificial Intelligence in Medicine. 2013;59(3):143-55.##22.	van der Heijden M, Velikova M, Lucas PJ. Learning Bayesian networks for clinical time series analysis. Journal of biomedical informatics. 2014;48:94-105.##		## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Application of the Theory of Planned Behavior to Predict Drug Abuse Related Behaviors </TitleF>
		<TitleE>کاربرد تئوری رفتار برنامه ریزی شده در پیشگویی رفتارهای مرتبط با سوء مصرف مواد مخدر </TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>چکیده

مقدمه: سوء مصرف مواد مخدر در میان نوجوانان به طور بالقوه نتایج منفی زیادی برای سلامتی و رفاه آنها دارد. اعتیاد و سوء مصرف مواد پدیده ای فراگیر ، همگانی، جهانی و پیچیده است که هزینه بسیار سنگینی را بر فرد، خانواده و دولت ها تحمیل می کند. این مطالعه با هدف بررسی کاربرد تئوری رفتار برنامه ریزی شده در پیشگویی رفتارهای مرتبط با سوء مصرف مواد مخدر صنعتی در جوانان شهر یزد در سال 1395 طراحی گردید.

روش بررسی: این مطالعه توصیفی به منظور کاربرد تئوری رفتار برنامه ریزی شده در پیشگویی رفتارهای مرتبط با سوء مصرف مواد مخدر صنعتی در میان 125 نفر از نوجوانان پسر&#160; شهر یزد به روش نمونه گیری تصادفی طبقه ای انجام شد. داده&#8204;ها بوسیله&#8204;ی پرسشنامه&#8204;ی محقق ساخته ای که روایی و پایایی آن مورد تأیید قرار گرفت جمع آوری گردید. داده ها با استفاده از نرم افزار SPSS و آزمون های independent t- test و همبستگی پیرسون تجزیه و تحلیل گردید.

&#160;یافته ها: نتایج مطالعه نشان داد 18% افراد تحت مطالعه استعمال مصرف سیگار داشتند. 97% افراد تحت مطالعه سابقه مصرف مواد مخدر صنعتی در والدین نداشتند. 6% افراد تحت مطالعه سابقه مصرف مواد مخدر صنعتی در دوستان را گزارش کرده بودند. 89% افراد تحت مطالعه مجرد بودند. آزمون آماری کای دو نشان داد بین استعمال سیگار با تحصیلات پدر، بعد خانوار، سابقه مواد مخدر صنعتی در والدین، سابقه مصرف مواد مخدر صنعتی در دوستان و شغل افراد مورد پژوهش ارتباط معنی داری وجود داشت (001/0P&#60;)، ولی بین سطح تحصیلات مادر (682P=)،&#160; زندگی با والدین (729P=) افراد مورد مطالعه ارتباط معنی داری وجود نداشت.

نتیجه گیری: &#160;شیوع سوء مصرف پایین مواد مخدر در این مطالعه در مقایسه با آمارهای موجود را می توان به گزارش پایین مشارکت کنندگان در مطالعه نسبت داد.&#160; &#160;</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Drug abuse among adolescents potentially holds several negative consequences for the health and well-being of the youth. This theoretically based study explained predictability of the Theory of Planned Behavior (TPB) on drug abuse related behaviors among adolescents.

Methods: This descriptive study was conducted in Yazd City, Iran, in 2015 among 125 male adolescents in the age range of 11 - 29 years, recruited randomly. All data gathered by using self-report written questionnaires included attitudes, subjective norms, perceived behavioral control, intention not to use drugs as theoretical constructs of TPB, and drug abuse related behaviors.

Results: The results showed that 18 % of participants were smoker, 97 % of them did not have history of synthetic drug abuse by parents, and 6 % of participants reported synthetic drug abuse by friends. Results of Chi-square test showed that there was a significant relationship between smoking and father&#39;s education, family size, history of synthetic drugs in parents, history of synthetic drugs in friends, and participants&#39; job (P ˃ 0.000). However, maternal education
(P = 682) and living with parents (P = 729) did not have any significant relationship.

Conclusions: The low prevalence of Drug abuse in this study in comparison with the existing statistics can attribute to lack of participants&#39; reports.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>44</FPAGE>
			<TPAGE>52</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2016/08/252016/09/22016/11/82016/07/32017/03/18
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1395/12/28
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2017/02/202017/02/262017/03/42017/03/182017/03/18
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1395/12/28
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>سید سعید</Name>
				<MidName></MidName>
				<Family>مظلومی</Family>
				<NameE>sayed said</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mazloomy MahmoodAbad</FamilyE>
				<Organizations>
				<Organization>1.	Social Determinants of Health Research Center and Department of Health Services, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>خیر محمد</Name>
				<MidName></MidName>
				<Family>جدگال</Family>
				<NameE>Khair Mohammad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jadgal</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health Education and Health Promotion, Shahid Sadoughi University of Medical Sciences,Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>احسان</Name>
				<MidName></MidName>
				<Family>موحد</Family>
				<NameE>Ehsan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Movahed</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health Education and Health Promotion, Shahid Sadoughi University of Medical Sciences,Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Theory of Planned Behavior</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Drug Abuse</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Adolescents.</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تئوری رفتار برنامه ریزی شده</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سوء مواد مخدر</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>نوجوانان</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1.	Stevanovic D, Atilola O, Balhara YPS, et al. The relationships between alcohol/drug use and quality of life among adolescents: An international, cross-sectional study. Journal of Child and Adolescent Substance Abuse. 2015; 24: 177–185.  ##2.	Kalsi H. Substance abuse amongst high school and college students. Family medicine clerkship student projects. Book 45 [document on the Internet]. 2015.Available on  http://scholarworks.uvm.edu/fmclerk/45/ ##3.	Moodley SV, Matjila MJ, Moosa MYH. Epidemiology of substance use among secondary school learners in Atteridgeville, Gauteng. South African Journal of  Psychiatry. 2012; 18(1): 2–7.##4.	Bashirian s, Hidarnia AR, Allahverdipour H, et al. Application of the theory of planned behavior to predict drug abuse related behaviors among adolescents. Journal of Research Health Sciences. 2012; 12 (1): 54-60. ##5.	Babaei Heydarabadi A, Ramezankhani A, Barekati H, et al. Prevalence of Substance Abuse Among Dormitory Students of Shahid Beheshti University of Medical Sciences, Tehran, Iran.  International Journal of High Risk Behaviors and Addiction. 2015; 4(2): 1-6.##6.	International Narcotics Control Board (INCB). Focus on international drug control. 2009. China hosts centennial commemoration. Newsletter 2.##7.	UNODC: United Nations Office on Drugs and Crimes. Addiction, crime and insurgency: The transnational threat of Afghan opium. 2009. This monograph, which is available on the UNODC website, provides a diagnosis of the threat posed by Afghanistan opium not only for Iran but also for every country in the world##8.	Cox RG, Zhang L, Johnson WD, et al. Academic perfor‌mance and substance use: findings from a state survey of public high school students. Journal of School Health. 2007; 77 (3): 109–15. ##9.	Thomson K. Overview of the drug abuse problem in South Africa [document on the Internet]. c2013 [cited 2015 Apr 29]. Available from http://www.harmonygroup.co.za/drugs/overview-of-the-drug-abuse-problem-in-south-africa##10.	Jordan P. Drug abuse is damaging South Africa’s youth trends [document on the Internet]. c2013 [cited 2015 Apr 30]. Available from http://www.fanews.co.za/article/healthcare/6/general/1124/drug-abuse-is-damaging-south-africa-s-youth/13795##11.	Sarami H, Ghorbani M, Minoei M. Survey of four decades of addic‌tion prevalence researches in Iran. Journal of Research on Addiction. 2013; 7(26): 29–52.##12.	Farhadinasab A, Allahverdipour H, Bashirian S, et al. Lifetime pattern of drug abuse, parental support, religiosity, and locus of control in adolescent and young male users. Iranian Journal of Public Health. 2008; 37 (4): 88-95. ##13.	Allahverdipour H, Hidarnia A, Kazemnegad A, et al. The status of self-control and its relation to drug abuse related behav-iours among Iranian male high school students. Social Behavior and Personality. 2006; 34(4): 413-424. ##14.	Zangeneh M. Living in margin. International Journal of Mental Health and Addiction. 2008; 6:461–463.##15.	Emami H, Ghazinour M, Rezaeshiraz H, et al. Mental health of adolescents in Tehran-Iran. Journal of Adolescent Health. 2007; 41(6): 571–576. ##16.	Mohammadi MR, Mohammad K, Farahani FKA, et al. Reproductive knowledge, attitudes and behavior among adolescent males in Tehran, Iran. International Family Planning Perspectives. 2006; 32(1): 35–44. ##17.	Mohammadpoorasl A, Fakhari A, Vahidi R, et al. Predicting the incidence of self-injury in Iranian high school students. Research Journal of Biological Sciences. 2007; 2(4): 427–430.##18.	Samouei R, Sohrabi A, Yarmohammadian MH. Why some previ‌ous drug abuse preventive programs had low effectiveness?. Med Arch. 2013; 67(1): 68–72. ##19.	Momtazi S, Nouhravesh M, Taremian F. A study of substance abuse and some related risk factors in Iranian high school students. NIDA International Forum; 2009. Abstract book p.61##20.	Nakhaee N, Ziaaddini H, Karimzadeh A. Epidemiologic study among first and second grade high school students in Kerman. Addict and Health. 2009; 1(1): 31–36. ##21.	Rawson RA, Gonzales R, Obert JL, et al. Methamphetamine use among treatment-seeking adolescents in Southern California; participant characteristics and treatment response. Journal of Substance Abuse Treatment. 2005; 29(2): 67–74. ##22.	Douglas KR, Chan G, Gelernter J, et al. Adverse childhood events as risk factors for substance dependence: partial mediation by mood and anxiety disorders. Addictive Behaviors. 2010; 35(1): 7-13. ##23.	Messina NP, Martinelli Casey P, Hillhouse M, et al. Childhood adverse events and health outcomes among methamphetamine dependent men and women. International Journal of Mental Health and Addiction. 2008; 6(4): 522–536.##24.	Montano DE, Kasprzyk D. Theory of reasoned action behavior, theory of planned behvior, and the integrat-ed behavioural model. In Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: Theory, research, and practice. 4th ed. San Francisco: Jossey Bass; 2008, pp. 67-92. ##25.	Collins SE, Witkiewitz K, Larimer MEJ. The Theory of planned behaviour as a predictor of growthin risky college drinking.  Journal of Studies on Alcohol and Drugs. 2011; 72(2): 322-332. ##26.	Todd J, Mullan B. Using the theory of planned be-haviour and prototype willingness model to target binge drinking in female undergraduate university students. Addictive Behaviours. 2011; 36(10): 980-986. ##27.	Malmberg M, Overbeek G, Vermulst AA, et al. The Theory of Planned Behavior: Precursors of marijuana use in early adolescence? Drug and Alcohol Dependence. 2012; 123(1–3): 22–28.##28.	Ito TA, Henry EA, Cordova  KA, et al. Testing an Expanded Theory of Planned Behavior Model to Explain Marijuana Use among Emerging Adults in a Pro-Marijuana Community. Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors. 2015; 29(3): 576-589. ##29.	Mazloomi mahmodabad SS, Jalilian F, Mirzaei Alavijeh M, et al. Predicting Factors about Drug abuse among Students: an Application of Theory of Planned Behavior. Toolo-e- behdasht. 2014; 14(6): 286-298.##30.	Talaei A , Mokhber N, Fayyazi Bordbar MR, et al. Patterns and Correlates of Substance Use among University Students in Iran. Iranian Journal of Psychiatry and Behavioral Sciences (IJPBS). 2008; 2(2): 235-244.##31.	Pour Movahed Z, Yasini Ardakani SM, Ahmadiyeh MH, et al. Knowledge of High School Students in Yazd province of narcotics. High Risk Behavior journal. 2010; 18(3): 179-183.##32.	Moan Is, Rise J. Predicting intentions not to &quot;drink and drive&quot; using an extended version of the theory of planned behavior. Accident analysis and prevention. 2011; 43 (4): 1378-1384.##33.	Pasharavesh L, Khoshboo S, Rezaei M, et al. Frequency of smoking and its related factors among female students High schools in Kermanshah. Journal of Kermanshah university of medical sciences. 2009; 13 (4): 309-319.[Persian]##34.	Jabbari Beyrami H , Bakhshian F, Vahidi R, et al. High Risk Behaviors and Attitudes of Secondary School Students in Tabriz toward Drugs of Abuse.  Iranian Journal of Psychiatry and Clinical Psychology. 2008; 14(3): 350-354.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Drivers' Life Quality, Marital Satisfaction, and Social Support in Cargo Terminal of Yazd City</TitleF>
		<TitleE>بررسی کیفیت زندگی، رضایت زناشویی و حمایت اجتماعی در رانندگان مراجعه‌کننده به پایانه بار شهر یزد</TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>چکیده

مقدمه :رانندگی یکی از مشاغل مهم و پراسترس در جامعه است و توجه به وضعیت سلامتی، حمایت اجتماعی و رضایت زناشویی &#160;رانندگان ضروری هست . هدف این مطالعه بررسی کیفیت زندگی، رضایت زناشویی و حمایت اجتماعی در رانندگان مراجعه&#8204;کننده به پایانه بار شهر یزد بود.

مواد و روش&#8204;ها: &#160;در این مطالعه 134 نفر از رانندگان شاغل در پایانه بار شهر یزد به&#8204;صورت &#160;نمونه&#8204;گیری &#160;در دسترس انتخاب شدند. برای گردآوری داده&#8204;ها از پرسشنامه&#8204;ی رضایت زناشویی ENRICH ، پرسشنامه(SF-36) و پرسشنامه حمایت اجتماعی(SSQ) استفاده شد. جهت آنالیز اطلاعات از آزمون&#8204;های آماری تی مستقل و آنالیز واریانس یک&#8204;طرفه &#160;و ضریب همبستگی پیرسون استفاده شد.

نتایج:&#160; میانگین سنی رانندگان 17/9 &#177;2/40 سال، میانگین نمره کلی رضایت زناشویی 14/20&#177;04/120 از 175 ، کیفیت زندگی&#160; 12/18&#177;69/99&#160; از 149 و&#160; حمایت اجتماعی 76/4&#177; 15از 23 بود.&#160;&#160; 4/60 درصد از رانندگان&#160; از شغل خود راضی نبودند. همچنین رابطه بین وزن و رضایت زناشویی معنی داربود(02/0 P=)،&#160; همچنین بین رضایت شغلی (003/0 P=)(015/0 P=) و درآمد (047/0 P=)(020/0 P=)با&#160; حمایت اجتماعی و کیفیت زندگی&#160; رابطه معنی&#8204;داری وجود داشت، ضریب همبستگی پیرسون بین حمایت اجتماعی و دو متغیر کیفیت و رضایت زناشویی رابطه&#8204;ی قوی معنی&#8204;داری بود(000/0 P=).

بحث و نتیجه&#8204;گیری: نتایج مطالعه نشان داد که وضعیت رضایت زناشویی، کیفیت زندگی و حمایت اجتماعی رانندگان پایین&#8204;تر از حد انتظار بوده است. بنابراین توجه به&#8204;سلامت جسمی و روانی رانندگان می&#8204;تواند بر ایمنی جاده&#8204;ها تأثیرگذار باشد، لذا برنامه&#8204;ریزی و اجرای مداخلات منظم جهت بهبود &#160;رضایت زناشویی، کیفیت زندگی و حمایت اجتماعی در رانندگان ضروری است.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Abstract 

Introduction: This is important to consider the health, social support, and marital satisfaction of drivers since they own one of the essential and stressful jobs in society. The purpose of this research was to investigate quality of life, marital satisfaction, and social support of the drivers referring to the cargo terminal of Yazd City.

Methods: In order to collect data, 134 drivers in Yazd cargo terminal were selected. The ENRICH questionnaire of marital satisfaction, SF-36 questionnaire, and social support questionnaire (SSQ) have been used as data collection tools. The collected data were then analyzed by Independent T test, Analysis of Variance (ANOVA), and Pearson correlation.

Results: According to the results, the drivers&#39; average age was 40.2&#177;9.17 years old. The mean scores of marital satisfaction, quality of life, and social support were equal to 120.04&#177;20.14 out of 175, 99.69&#177;18.14 out of 149, and 15&#177;4.76 out of 23, respectively. About 60.4 % of drivers were not satisfied with their jobs. There were significant relationships between weight and marital satisfaction (P=0.02), as well as between job satisfaction (P=0.003) (P=0.015) and income (P=0.047) (P=0.020), to social support and quality of life. Also, a strong significant positive relationship was observed in correlation coefficient between social support and two variables of quality of life and marital satisfaction (P=0.000).



Conclusion: This can be argued that marital satisfaction, quality of life, and social support of the drivers are lower than the expected levels. Therefore, it can be concluded that physical and mental health of drivers can be effective on safety of roads; thereby it is necessary to improve their conditions in marital satisfaction, quality of life, and social support</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>53</FPAGE>
			<TPAGE>63</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2016/08/252016/09/22016/11/82016/07/32017/03/182017/03/18
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1395/12/28
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2017/02/202017/02/262017/03/42017/03/182017/03/182017/03/18
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1395/12/28
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>محمدعلی</Name>
				<MidName></MidName>
				<Family>مروتی شریف‌آباد</Family>
				<NameE>Mohammad Ali</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Morovati Sharifabadi</FamilyE>
				<Organizations>
				<Organization>1.	Elderly Health Research Center, Health School, Shahid Sadoughi University of Medical Science and Health Services, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>احسان</Name>
				<MidName></MidName>
				<Family>موحد</Family>
				<NameE>Ehsan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Movahed</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health Education and Health Promotion, Shahid Sadoughi University of Medical Sciences,Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>خیر محمد</Name>
				<MidName></MidName>
				<Family>جدگال</Family>
				<NameE>Khair Mohammad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jadgal</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health Education and Health Promotion, Shahid Sadoughi University of Medical Sciences,Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>مرادعلی</Name>
				<MidName></MidName>
				<Family>زارعی پور</Family>
				<NameE>MoradAli</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Zareipour</FamilyE>
				<Organizations>
				<Organization>3.	Department of Health Education and Health Promotion, Urmia Health Center, Urmia University of Medical Sciences, Urmia, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>سمیه</Name>
				<MidName></MidName>
				<Family>علیزاده</Family>
				<NameE>Somayeh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Alizadeh</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health Education and Health Promotion, Health School, Shahid Sadoughi University of Medical Science, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>رابعه</Name>
				<MidName></MidName>
				<Family>آق آتابای</Family>
				<NameE>Rabae</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Agh Atabai</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health Education and Health Promotion, Health School, Shahid Sadoughi University of Medical Science, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ولی</Name>
				<MidName></MidName>
				<Family>بهره ور</Family>
				<NameE>Vali</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Bahrevar</FamilyE>
				<Organizations>
				<Organization>4.	Health Training, Health Assistance, Yazd University of Medical Science, Yazd, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Theory of Planned Behavior</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Drug Abuse</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Adolescents.</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>رضایت زناشویی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>کیفیت زندگی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>حمایت اجتماعی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>رانندگان کامیون</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>A Look into Anthrax as a Biological Weapon, from the Past to Today </TitleF>
		<TitleE>نگاهی به سیاه‌زخم (آنتراکس) به عنوان یک سلاح بیولوژیک، از گذشته تا امروز</TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقدمه: بیوتروریسم، سوءاستفاده از عوامل میکروبی، ویروسی، انگلی یا فراورده&#8204;های آن&#8204;ها به منظور ارعاب یا هلاکت انسان&#8204;ها و نابودی دام&#8204;ها یا گیاهان می&#8204;باشد. تاریخچه جنگ افزارهای بیولوژیک به سالها پیش باز می گردد، در طول سال های جنگ جهانی اول آلمان و در طول جنگ جهانی دوم ژاپن و نیروهای متفقین از این سلاح ها به منظور مقابله با دشمنان خود استفاده کرده بودند. میکروارگانیسم های استفاده شده بیشتر شامل باسیلوس آنتراسیس بودند. امروزه نیز با گسترش فعالیت های تروریستی (منجمله بیوتروریسم)&#160; در دنیا، از جمله در جنگ های اخیر عراق و سوریه، نگرانی ها در مورد سلاح ها و حملات بیولوژیک بیشتر شده است. 

روش بررسی: مقاله حاضر یک مقاله مروری می باشد که پس از جست و جو در سایت هایGoogle ،Pubmed &#160;و Googlescholar نگاشته شده است. در جست و جو از کلماتBioterrorism, Bioweapon &#160;و Anthrax استفاده گردید.

یافته ها: باسیلوس آنتراسیس، باسیل هوازی غیر متحرّک مولد اسپوری است که متعلق به خانواده باسیلاسه (Bacillaceae) می&#8204;باشد. با اینکه سیاه&#8204;زخم پوستی شایع&#8204;ترین نوع سیاه&#8204;زخم است ولی نوع تنفسی آن بیشتر مورد استفاده بیوتروریسمی قرار می&#8204;گیرد. تشخیص قوی بالینی و تجویز سریع داروهای ضد میکروبی مؤثر، در تشخیص سریع و درمان مؤثر سیاه&#8204;زخم، از اهمیت اساسی برخوردار است. Ciprofloxacin یا Doxycycline بایستی در شروع درمان سیاه&#8204;زخم استنشاقی به&#8204;صورت داخل وریدی، تجویز شود و تا حاضر شدن جواب کشت و آنتی بیوگرام، ادامه یابد. مدت درمان سیاه&#8204;زخم &#160;نوع پوستی ١٠-٧ روز و نوع استنشاقی ٦٠ روز&#160; می باشد. از آنجایی که در حمله بیوتروریستی ممکن است سیاه&#8204;زخم استنشاقی هم&#8204;زمان نیز رخ داده باشد، توصیه می شود حتی افرادی که در حمله فعلی فقط دچار سیاه&#8204;زخم پوستی شده&#8204;اند به اندازه طول درمان بیماران نوع استنشاقی (٦٠ روز ) تحت درمان قرار گیرند .

نتیجه گیری: کشف سریع تهدیدها و اعمال اقدامات مناسب، می&#8204;تواند از بروز سیاه&#8204;زخم جلوگیری کند. افرادی که در تماس با اشیاء آلوده یا محیط قطعاً آلوده یا مشکوک به آلودگی هستند، بایستی تحت پوشش پروفیلاکسی قرار گیرند. توصیه می&#8204;شود پرسنل پست که در تماس با نامه&#8204;ها هستند و نیز مهندسین تسهیلات پستی، از وسایل و تجهیزات محافظت&#8204;کننده، استفاده کنند. پزشکان بالینی و کارکنان آزمایشگاه&#8204;ها نیز بایستی در مورد علائم بالینی و تغییرات آزمایشگاهی سیاه&#8204;زخم کاملاً هوشیار باشند. از مشخصات بسته&#8204;ها و نامه&#8204;های مظنون، وجود برچسب&#8204;های نامناسب یا غیرمعمول، آدرس غیرعادی فرستنده یا بدون ذکر آدرس فرستنده و ذکر نام شهر دیگری غیر از شهری که نامه از آنجا پست شده است، &#160;می باشد. در صورتی که یک بسته پستی مظنون باشد نباید گشوده شود و تا آنجا که ممکن است حداقل تماس با آن حاصل شود و در نهایت به مراجع ذیصلاح اطلاع داده شود.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Biological attack a phenomenon which has seriously started in the 20th- century and is expanding every day. Plague agent is one of factors listed as a biological weapon by the disarmament convention. Therefore, the risk of biological or bioterrorism applications is probable and serious. The purpose of this study was to update health professionals&#39; information on plague and bioterrorism aspect of this disease.

Methods: This article is a literature review written based on search on articles from library and internet resources (1990- 2016).

Results: More than 2,000 species of bacteria have been identified in three main groups of bacillus (rod-shaped), cocci (round and oval), and spiral. But only about 100 of them are known as pathogens and Less than 10 species are used as biological agents for military application and one of them is plague agent. Yersinia pestis is a Gram negative, rod-shaped, anaerobic, member of the enterobacteriaceae family, and if be painted by Colors Wright, Giemsa or Leeson will be seen bipolar under a microscope.

Conclusion: Nowadays, in spite of the progresses made in science and technology, human knowledge is relatively incapable to anticipate the time and place of biological attacks. Therefore, being prepared and ready for its unavoidable occurrence is necessary. So, regarding the importance and necessity of readiness, officials and experts have to make an effort and plan against these hazards.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>64</FPAGE>
			<TPAGE>73</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2016/08/252016/09/22016/11/82016/07/32017/03/182017/03/182017/03/18
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1395/12/28
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2017/02/202017/02/262017/03/42017/03/182017/03/182017/03/182017/03/18
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1395/12/28
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>بابک</Name>
				<MidName></MidName>
				<Family>شیراوند</Family>
				<NameE>Babak</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shiravand</FamilyE>
				<Organizations>
				<Organization>1.	Student Research Committee, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ابراهیم</Name>
				<MidName></MidName>
				<Family>سلمانی</Family>
				<NameE>Ibrahim</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Salmani</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health in Disaster and Emergency, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>محمد رضا</Name>
				<MidName></MidName>
				<Family>شکوهی</Family>
				<NameE>Mohammad Reza</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shokouhi</FamilyE>
				<Organizations>
				<Organization>2.	Department of Health in Disaster and Emergency, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>فرخ لقا</Name>
				<MidName></MidName>
				<Family>ثروت</Family>
				<NameE>Farokhlegha</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Servat</FamilyE>
				<Organizations>
				<Organization>3.	Department of Health Education, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>نگار</Name>
				<MidName></MidName>
				<Family>کرمی</Family>
				<NameE>Negar</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Karami</FamilyE>
				<Organizations>
				<Organization>4.	Department of Food Safety and Hygiene, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran</Organization>
				</Organizations>
				<Countries>
				<Country>Iran</Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Bioterrorism</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Plague</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Biological Attacks</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>باسیلوس آنتراسیس</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سیاه زخم</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>بیوتروریسم</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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		</REFRENCES>

	</ARTICLE>

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