DMFT and OHIS Indexs in the Pregnant Mothers: An Explanation Based on the Health Belief Model ارزیابی شاخص های بهداشت دهان و دندان در مادران باردار: توضیحی براساس مدل اعتقاد بهداشتی 2 1 زمینه و هدف: بهداشت دهان و دندان یکی از مهم ترین شاخه های بهداشت عمومی است. هدف مطالعه حاضر ارزیابی فاکتورهای موثر بر سلامت دهان و دندان مادران باردار مراجعه کننده به مراکز بهداشتی و درمانی در خرم آباد براساس مدل اعتقاد بهداشتی بود. روش ها: در این مطالعه مقطعی تحلیلی 340 نفر از مادران باردار شهر خرم آباد با روش نمونه گیری تصادفی چند مرحله ای انتخاب شدند . شاخص [1]DMFT و شاخص [2]OHIS و مقیاس مربوط به عوامل مدل اعتقاد بهداشتی و عملکرد در خصوص مراقبت های بهداشت دهان و دندان سنجیده شدند. داده ها با استفاده از نرم افزار SPSS20 و آزمو ن های تحلیلی شامل ضریب همبستگی پیرسون، آنالیز رگرسیون لجستیک درسطح معنی داری 05/0 تحلیل شدند. یافته ها: میانگین DMF(27/3±8/7) و میانگین OHIS (65/1±74/2) بود. بین سازه های مدل اعتقادبهداشتی و عملکرد ارتباط مستقیم و معنادار وجود. از بین سازه های مدل اعتقاد بهداشتی سازه ی خودکارآمدی (2/22) درصد بیشترین توان پیشگویی کنندگی را داشت. علاوه بر این بین شاخص DMF و OHIS همبستگی مثبت وجود داشت. بحث و نتیجه گیری: موانع شناختی با رفتار بهداشت دهان و دندان در ارتباط بودند بنابراین بایستی پرسنل بهداشتی و درمانی نسبت به این موانع توجه کنند و مادارن را آموزش دهند. خودکارآمدی مهم ترین متغیر پیش بینی کننده مراقبتی بهداشت دهان و دندان در مادران باردار بود بنابراین، برای رعایت رفتارهای مراقبت های بهداشت دهان و دندان در مادران باردار به این عامل توجه شود 2 Introduction: Oral and dental health is one of the most important parts of public health. The purpose of this study was to assess the factors influencing oral and dental health among the pregnant mothers referring to urban health centers in Khorramabad, Iran, based on the Health Belief Model (HBM) in 2016. Methods: In this cross-sectional study, 340 pregnant mothers living in Khorramabad, Iran were selected from health centers using multi-stage random sampling. The decayed, missing, filled teeth (DMFT) index, the Oral Health Index – Simplified (OHIS), the health belief model (HBM) scale, and performance regarding oral and dental health care were measured and the data were analyzed. The obtained data were analyzed using the SPSS 20 software and descriptive statistical tests, Pearson correlation coefficient, and linear regression. Results: The mean DMFT score was 7.8 ± 3.27 and the mean OHIS score was 2.74 ± 1.65. Pearson correlation coefficient showed a direct and significant relationship between the constructs of the health belief model and performance (p< 0.05). Among the constructs of the health belief model, self-efficacy (22.2 %) had the highest predictive power. In addition, there was a positive correlation between the DMFT and OHIS scores. Conclusion: The present study showed that cognitive barriers are associated with oral and dental health behaviors and they should receive attention from the oral and dental health professionals. On the other hand, the most important predictor variable of oral health care among pregnant mothers is self-efficacy. Therefore, the self-efficacy of pregnant women should be boosted for them to practice good oral and dental health care. 1 10 2017/10/9 1396/7/17 2018/02/13 1396/11/24 کتایون بختیار Katayon Bakhtiar Department of Public Health, Faculty of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad,Iran Iran k_bakhteyar@yahoo.com کسری قارونی Kasra Gharouni Dental School, Shiraz University of Medical Sciences, Shiraz, Iran Iran Kgharouni@hotmail.com بهنام قارونی Behnam Gharouni Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran Iran Benghr@yahoo.com فاطمه بستامی Fatemeh Bastami Department of Health Education and Promotion, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran Iran fatemeh2011bastami@gmail.com محمد الماسیان Mohammad Almasian Department of the English Language, Faculty of Medicine, Lorestan University of Medical Sciences, Lorestan, Iran Iran almasian2@gmail.com مهری حسین طلایی Mehri Hosseintalai Department of Health Education and Promotion, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran Iran Milbas1996@gmail.com Health Belief Model Pregnant Mothers DMFT OHIS مدل اعتقاد بهداشتی مادران باردار شاخص های DMFو OHIS 1. 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The Level of Physical Activity of Female Junior High School Students in Mazandaran, Iran, in 2017 and Its Relationship with Socioeconomic Status میزان فعالیت بدنی دانش آموزان دختر دبیرستان در مازندران در سال 2017 و رابطه آن با وضعیت اجتماعی و اقتصادی 2 1 زمینه و هدف: آثار مثبت تندرستی، رفتاری و تناسب اندام نتیجه مشارکت منظم نوجوانان در فعالیت بدنی است. فعالیت بدنی، رفتاری چند وجهی است که درک درست آن به اثرات مستقل و متقابل عوامل زیستی، روانی و محیطی مرتبط است. لذا این پژوهش بهمنظور تعیین سطح فعالیت بدنی دانشآموزان دختر و بررسی رابطه آن با وضعیت اجتماعی- اقتصادیشان صورت گرفت. روش ها : 630 دانش آموز دختر بر اساس روش نمونهگیری خوشه ای چند مرحله ای تصادفی انتخاب شدند. ابزارهای مورد استفاده جهت جمع آوری دادهها شامل پرسشنامه جمعیت شناختی، پرسشنامه وضعیت اجتماعی- اقتصادی و گام شمار بود. تحلیل دادهها با استفاده از نرمافزار SPSS23 در سطح معناداری05/0P≤ صورت گرفت. یافته ها: نتایج نشان داد سطح فعالیت بدنی دانش آموزان با افزایش پایه تحصیلی شان، کاهش می یابد. هرچند ANOVA تفاوت معناداری را بین سطح فعالیت بدنی دانش آموزان سه پایه نشان داد ولی آزمون تعقیبی توکی، فقط اختلاف معنادار را بین میزان فعالیت بدنی دانش آموزان پایه 7 با 8 و 9 نشان داد و این تفاوت بین دانش آموزان پایه 8 و 9 معنادار نبود. در مجموع %83/30 دانشآموزان فعال و %16/69 غیرفعال بودند. همچنین نتایج ضریب همبستگی پیرسون نشان داد که رابطه معناداری بین وضعیت اجتماعی– اقتصادی و سطح فعالیت بدنی وجود ندارد. بحث و نتیجه گیری: طبق سطوح توصیه شده، حجم وسیعی از دختران نوجوان فعالیت بدنی کافی برای تامین سلامتی خود را ندارند که این مسأله می تواند نگران کننده باشد. پیشنهاد می شود که مسولین مربوط راهبردهایی اساسی برای تغییر سبک زندگی دختران نوجوان سامان دهند که از جمله آن درخواست تدوین برنامه جامع فعالیت بدنی از متخصصان می باشد. 2 Introduction: Participating in regular physical activity has positive effects on the health and behavior of adolescents. Physical activity is multifaceted and has both interrelated psychological, biological and environmental effects. Therefore, this study was conducted to determine the level of physical activity of female students and its relationship with their socioeconomic status. Methods: 630 junior high school students in Mazandaran were selected based on randomized multistage cluster sampling in the year 2017. The tools used for collecting data were pedometers, and demographic and Ghodratnama socioeconomic status questionnaires. Data analysis was done using SPSS23 software with descriptive and inferential statistics (the Kolmogorov-Smirnov test, the one-way analysis of variance [ANOVA], and the Pearson correlation coefficient) at a significance level of P ≤ 0.05. Results: The results showed that the level of physical activity of students decreased as grade level increased. An ANOVA showed a significant difference between the level of physical activity of students in 7-9 grades, but Tukey’s post hoc test showed a significant difference between the level of physical activity of 7th grade students with 8th and 9th, while the difference between the students of grades 8 and 9 was not significant statistically. Out of all students, 30.72% of students were active and 69.28% inactive. The Pearson correlation coefficient showed that there was no significant relationship between socioeconomic status and level of physical activity. Conclusion: A vast majority of adolescent girls do not do the amount of physical activity recommended for good health, which is a worrying issue. It is suggested that relevant authorities mobilize basic strategies for changing the lifestyles of adolescent girls, including the development of a comprehensive program of physical activity by specialists. 11 17 2017/10/92017/12/5 1396/9/14 2018/02/132018/02/17 1396/11/28 لیلا ضامنی Leila Zameni Department of Motor Behavior, Faculty of Sport Sciences, Kharazmi University, Tehran, Iran Iran l_zameni@yahoo.com عباس بهرام Abbas Bahram Department of Motor Behavior, Faculty of Sport Sciences, Kharazmi University, Tehran, Iran Iran bahram@khu.ac.ir حسن خلجی Hasan Khalaji Department of Motor Behavior and Sport Psychology, Faculty of Sport Sciences, Arak University, Arak, Iran Iran khalajhphd@gmail.com فرهاد قدیری Farhad Ghadiri Department of Motor Behavior, Faculty of Sport Sciences, Kharazmi University, Tehran, Iran Iran ghadiri@khu.ac.ir قاسم حسنی Ghasem Hasani Department of Social Sciences, Faculty of Human Sciences, Mazandaran University, Babolsar, Iran Iran g.hassani@umz.ac.ir Physical Activity Adolescence Socioeconomic Status فعالیت بدنی دختران نوجوان وضعیت اجتماعی- اقتصادی 1. 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Level of physical activity among children and adolescents in Europe: a review of physical activity assessed objectively by accelerometry. Public Health. 2013; 127(4): 301-311.##21. Mello JB, Farias VM, Bergmann MLA, et al. Number of steps per day and the screening of cardiovascular disease risk factors in adolescents. Motriz: Revista de Educação Física.2016; 22 (2), 36-43.##22. Wu XY, Han LH, Zhang JH, et al. The influence of physical activity, sedentary behavior on health-related quality of life among the general population of children and adolescents: A systematic review. PLoS One. 2017; 12 (11): 1-29.##23. Riddoch CJ, Andersen LB, Wedderkopp N, et al. Physical activity levels and patterns of 9- and 15-yr-old European children. Medicine & Science in Sports & Exercise. 2004; 36(1): 86-92. ##24. Eisenmann JC, Wickel EE. Biology of physical activity in children: revisited. Pediatric Exercise Science. 2009; 21(3): 257-272.##25. Lampinen EK, Eloranta AM, Haapala EA, et al. Physical activity, sedentary behaviour, and socioeconomic status among Finnish girls and boys aged 6–8 years. European Journal of Sport Science. 2017; 17(4): 462-472.##26. Kelishadi R, Qorbani M, Motlagh ME, et al. Socioeconomic disparities in dietary and physical activity habits of iranian children and adolescents: the Caspian-IV Study. Archives of Iranian Medicine. 2016; 19(8): 530 – 537. ## ##

Correlation of Pre-pregnancy Body Mass Index, Prenatal Weight Gain and Gestational Diabetes – A Case-Control Study همبستگی شاخص توده بدنی قبل از بارداری و افزایش وزن در دوران بارداری و دیابت حاملگی - یک مطالعه مورد- شاهدی 2 1 زمینه و هدف: زنان مبتلا به چاقی و اضافه وزن بیشتر مستعد ابتلا به دیابت بارداری هستند. شاخص توده بدنی و افزایش وزن در دوران بارداری نقش مهمی در بارداری ایفا می کند و به عنوان شاخصی مهم در سلامت مادر و نوزاد شناخته می شود. از آنجا که شیوع چاقی در یزد قابل توجه است، ما در این مطالعه به بررسی ارتباط بین دیابت حاملگی با چاقی و افزایش وزن در دوران بارداری در زنان باردار شهر یزد پرداختیم. روش ها: این مطالعه مورد-شاهدی بر روی 336 زن باردار که به تازگی زایمان کرده بودند انجام شد. از بین آنها 168 زن باردار مبتلا به دیابت حاملگی و 168 زن باردار سالم به عنوان گروه شاهد وارد مطالعه شدند. ما داده ها را از اطلاعات ثبت شده در سیستم اطلاعات بهداشتی جمع آوری کردیم. در این مطالعه، برای تجزیه و تحلیل داده ها با استفاده از نرم افزار SPSS23، از آزمون Chi-square، t مستقل و همبستگی استفاده شد. یافته ها: مطالعه حاضر نشان داد که میانگین BMI قبل از بارداری و میانگین افزایش وزن دوران بارداری تا زمان غربالگری دیابت بارداری در هر دو گروه بطور معنی داری متفاوت بود. همچنین بین BMI پیش از بارداری و افزایش وزن در دوران بارداری همبستگی معکوس و معناداری وجود داشت (r = -0.27، P <0.001). بحث و نتیجه گیری: از آنجا که شاخص توده بدنی یکی از عوامل خطر قابل تغییر است، دادن آموزش مناسب در زمینه داشتن رژیم غذایی با کیفیت و وعده های غذایی مناسب به همه خانم های باردار، جهت داشتن وزن مناسب قبل از بارداری و افزایش وزن مناسب در دوران بارداری، پیشنهاد می گردد. 2 Introduction: Obese and overweight women are more prone to gestational diabetes. Body mass index and weight gain during pregnancy play an important role in pregnancy and is considered as an important indicator of maternal and neonatal health. Because the prevalence of obesity in Yazd is remarkable, we studied the relationship between gestational diabetes with Pre-pregnancy BMI and weight gaining during pregnancy in pregnant women in Yazd. Methods: This case-control study was conducted on 336 pregnant women who had just given birth, who they consisted of 168 pregnant women with gestational diabetes and 168 healthy pregnant women as case and control group, respectively. We gathered data from the information recorded in the health information system. In this study, Chi-square, independent t-test, and correlation test were used to analyze the data by using the SPSS23 software. Results: The present study showed that the average pre-pregnancy BMI and the average weight gaining during pregnancy until screening for gestational diabetes were significantly higher in cases than controls (P<0.05). Also, there was a significant reverse correlation between pre-pregnancy BMI and weight gain during pregnancy(r = -0.27, P <0.001). Conclusion: Since BMI is one of the modifiable risk factors, we should give all women good training on the quality of their diet for having proper weight before pregnancy and appropriate weight gain during pregnancy. 18 23 2017/10/92017/12/52017/12/3 1396/9/12 2018/02/132018/02/172018/02/13 1396/11/24 محمدحسن لطفی Mohammad hasan Lotfi School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Iran mhlotfi56359@gmail.com حسین فلاح زاده Hossein fallahzadeh Research Center of Prevention and Epidemiology of Non-Communicable Disease, Departments of Biostatistics and Epidemiology, School of Pablic Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Iran fallahzadeh.ho@gmail.com مسعود رحمانیان Masoud Rahmanian Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Iran drmasoudrahmanian@yahoo.com حسین لشکردوست Hossein Lashkardoost Department of Public Health, School of Public Health, North Khorasan University of Medical Sciences, Bojnurd, Iran. Iran doostaria@gmail.com اندیشه حامدی Andishe hamedi Department of Biostatistics & Epidemiology, School of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Iran ahamedi1364@gmail.com weight gain Body Mass Index gestational diabetes افزایش وزن شاخص توده بدنی دیابت حاملگی 1. Alberti KGMM, Zimmet P, Shaw J. International diabetes federation: a consensus on Type 2 diabetes prevention. Diabetic Medicine. 2007; 24(5): 451-463.##2. Lotfi MH, Saadati H, Afzali M. Prevalence of diabetes in people aged ≥ 30 years: the results of screen-ing program of Yazd Province, Iran, in 2012. Journal of Research in Health Sciences. 2013; 14(1): 88-92.##3. Association AD. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014; 37(Supplement 1): S81-S90.##4. Marcinkevage JA, Narayan KV. Gestational diabetes mellitus: taking it to heart. Primary Care Diabetes. 2011;5(2): 81-88.##5. Dorostkar H, Zomorodi Zare N, Alikhani Mahvar A, et al. Prevalence of gestational diabetes mellitus in different age groups in Razan, Iran 2014. Journal of Mazandaran University of Medical Sciences. 2015; 25(127): 74-81.##6. Crowther CA, Hiller JE, Moss JR, et al. Effect of treatment of gestational diabetes mellitus on pregnancy outcomes. New England Journal of Medicine. 2005; 352(24): 2477-2486.##7. Nordin NM, Wei JWH, Naing NN, et al. Comparison of maternal–fetal outcomes in gestational diabetes and lesser degrees of glucose intolerance. Journal of Obstetrics and Gynaecology Research. 2006; 32(1): 107-114.##8. Torloni M, Betrán A, Horta B, et al. Prepregnancy BMI and the risk of gestational diabetes: a systematic review of the literature with meta‐analysis. Obesity Reviews. 2009; 10(2): 194-203.##9. Pakniat H, Movahed F. Relationship between body mass index, weight gain during pregnancy and birth weight of infants. Alborz University Medical Journal. 2012; 1(3): 130-136.##10. Hossein-Nezhad A, Maghbooli Z, Vassigh A-R, et al. Prevalence of gestational diabetes mellitus and pregnancy outcomes in Iranian women. Taiwanese Journal of Obstetrics and Gynecology. 2007; 46(3): 236-241.##11. Soheilykhah S, Mogibian M, Rahimi-Saghand S, et al. Incidence of gestational diabetes mellitus in pregnant women. International Journal of Reproductive BioMedicine. 2010; 8(1): 24-28.##12. Kelishadi R, Alikhani S, Delavari A, et al. Obesity and associated lifestyle behaviours in Iran: findings from the first national non-communicable disease risk factor surveillance survey. Public Health Nutrition. 2008; 11(3): 246-251.##13. Sadr Bafghi S, Nasirian M, Namayandeh S, et al. The prevalence of abdominal obesity and cardiovascular risk factors in urban population of Yazd. Medical Journal of Mashhad University of Medical Sciences. 2008; 51(1): 61-66.##14. Kim SY, England L, Wilson HG, et al. Percentage of gestational diabetes mellitus attributable to overweight and obesity. American Journal of Public Health. 2010; 100(6): 1047-1052.##15. Hedderson MM, Gunderson EP, Ferrara A. Gestational weight gain and risk of gestational diabetes mellitus. Obstetrics and Gynecology. 2010; 115(3): 597-604.##16. Bhavadharini B, Anjana RM, Deepa M, et al. Gestational weight gain and pregnancy outcomes in relation to body mass index in Asian Indian women. Indian Journal of Endocrinology and Metabolism. 2017; 21(4): 588-593.##17. Ebrahimi-Mameghani M, Mehrabi E, Kamalifard M, et al. Correlation between body mass index and central adiposity with pregnancy complications in pregnant women. Health Promotion Perspectives. 2013; 3(1): 73-79.##18. Kristensen J, Vestergaard M, Wisborg K, et al. Pre‐pregnancy weight and the risk of stillbirth and neonatal death. An International Journal of Obstetrics & Gynaecology. 2005; 112(4): 403-408.##19. Anand SS, Gupta M, Teo KK, et al. Causes and consequences of gestational diabetes in South Asians living in Canada: results from a prospective cohort study. CMAJ Open. 2017; 5(3): E604-E611.##20. Allen L, Lung'aho M, Shaheen M, et al. Maternal body mass index and pregnancy outcome in the nutrition collaborative research support program. European Journal of Clinical Nutrition. 1994; 48(Suppl 3): S68-76.##21. Bener A, Saleh NM, Al-Hamaq A. Prevalence of gestational diabetes and associated maternal and neonatal complications in a fast-developing community: global comparisons. International Journal of Women's Health. 2011; 3: 367-373.##22. Zhao, Y. The risk factors for gestational diabetes mellitus in China : a systematic review. [Thesis]. China. University of Hong Kong ; 2015.##23. Hedderson MM, Ferrara A. High blood pressure before and during early pregnancy is associated with an increased risk of gestational diabetes mellitus. Diabetes care. 2008; 31(12): 2362-2367.##24. Innes KE, Byers TE, Marshall JA, et al. Association of a woman's own birth weight with subsequent risk for gestational diabetes. Journal of American Medical Association. 2002; 287(19): 2534-2541.## ##

Designing a Minimum Data Set for Major Thalassemia Patients: Towards Electronic Personal Health Record بسمت پرونده الکترونیک سلامت فردی: طراحی مجموعه حداقل داده ها برای بیماران تالاسمی ماژور 2 1 زمینه و هدف: در پزشکی پیشرفته، داده های زیادی تولید می گردد اما همواره بین گردآوری و درک و تفسیر آن فاصله عمیقی وجود دارد. بدین جهت مجموعه حداقل داده ها تهیه می شوند. تالاسمی ماژور یک بیماری خونی ژنتیکی مزمن و شایع ترین اختلال ژنتیکی در جهان می باشد. هدف این پژوهش تعیین مجموعه داده ها برای پرونده سلامت فردی بیماران تالاسمی ماژور است. روش ها : پژوهش حاضر کاربردی بوده که به صورت توصیفی و به روش دلفی انجام شد. پژوهش به منظور تعیین مجموعه داده های پرونده سلامت فردی بیماران تالاسمی، ابتدا پرونده های سلامت دستی بیماران تالاسمی ماژور براساس فرم های کاغذی استاندارد وزارت بهداشت بررسی شدند و اطلاعات لازم براساس چک لیست جمع آوری شد. پرسشنامه در مرحله اول توسط یک تیم 6 نفره بازبینی گردید و روایی محتوایی آن توسط این تیم تعیین گردید و پایایی آن با الفای کرونباخ 96% تعیین شد. سپس پرسشنامه پژوهشگر ساخته تهیه و بین 113 نفر از متخصصان خون و آنکلوژی کشور به نظرسنجی گذاشته شد. یافته ها: . از بین 126 عنصر اطلاعاتی که به نظر سنجی گذاشته شد 117 عنصر اطلاعاتی با موافقت بیشتر از 75 درصد در محدوده زیاد و خیلی زیاد به عنوان عناصر اصلی و 9 عنصر با موافقت کمتر از 50 درصد در محدوده کم و خیلی کم از لیست عناصر پرونده الکترونیک سلامت فردی بیماران تالاسمی حذف شدند. عنصر اطلاعاتی با موافقت بین 50 تا 75 درصد در محدوده متوسط تا زیاد در نظرسنجی مشاهده نشد. حداقل عناصر اطلاعاتی پرونده سلامت فردی بیماران تالاسمی ماژور در 9 گروه اطلاعات دموگرافیک، اطلاعات تاریخچه سلامت، اطلاعات ارزیابی، اطلاعات آزمایشگاهی، اطلاعات دارویی، تزریق خون، آزمایشات بدنی، واکسیناسیون، دندان پزشکی ارائه شد. بحث و نتیجه گیری: در این مطالعه مجموعه حداقل داده های پرونده الکترونیک سلامت فردی بیماران تالاسمی ماژ.ر تعریف شده است. این عناصر اطلاعاتی به عنوان مجموعه ی مناسبی برای درج در سیستم هـای دسـتی و پرونده های پزشکی الکترونیکی به شـمار مـی آینـد. و می توانند باتوجه به نیازهای بیماران تغییرات لازم انجام شود و به عنوان یـک سـند ملی مورد استفاده قرار گیرد. 2 Introduction: In advanced medicine, large amounts of data are produced. However, there is always a gap between their collection and their understanding and interpretation. Thus, the minimum data sets are prepared. Thalassemia major is a chronic genetic blood disorder and the most common genetic disorder in the world. So, the aim of this study was to determine the data set for personal health record of patients with major thalassemia. Methods: This present applied research was done descriptively by Delphi method. To determine the dataset, the manual health records of thalassemia major patients were first evaluated based on the standard paper forms of the Ministry of Health, and the data required were collected according to the checklist. The questionnaire w first reviewed by a 6-expert team. Its content validity was determined by the team and its reliability by Cronbach's alpha as 96%. Then, a researcher-made questionnaire was prepared and surveyed among 113 experts on blood and oncology specialists around the country (Iran). Results: from the 126 information element data surveyed, 117 IEDs were identified as the main elements with the agreement of more than 75% in the range of high and very high, while nine elements with the agreement of less than 50% in the range of low and very low were excluded from the elements list of personal health records of thalassemia patients. The information element data with the agreement of 50 to 75 in the range of moderate to high was not found in the survey. Finally, the minimum data set of individual health records of patients with thalassemia major was provided in 9 groups of demographic information, health history information, assessment information, laboratory data, drug information, blood transfusion, physical examinations, immunization (vaccination) and dental care. Conclusion: In this study, the data elements were defined for personal health record of thalassemia patients. These data elements are considered as an appropriate data set for inclusion in the manual systems and electronic medical records and based on the patients' needs can be changed to be used as a national document. 24 31 2017/10/92017/12/52017/12/32017/12/15 1396/9/24 2018/02/132018/02/172018/02/132018/02/27 1396/12/8 خدیجه معیل طبقدهی Khadije Moeil Tabaghdehi Departmant of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran Iran khadije_moeil67@yahoo.com مرجان قاضی سعیدی Marjan Ghazisaeedi Departmant of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran Iran ghazimar@tums.ac.ir لیلا شاهمرادی Leila Shahmoradi Departmant of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran Iran Lshahmoradi@tums.ac.ir حسین کرمی Hosein Karami Departmant of Hematology and Oncology, Mazandaran University of Medical Sciences, Mazandaran, Iran Iran Karami_oncologist@yahoo.com آزاده بشیری Azadeh Bashiri Departmant of Health Information Management,School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran Iran a-bashiri@razi.tums.ac.ir Minimum data sets data elements Personal health record Electronic Personal Health Record Thalassemia حداقل مجموعه داده ها عناصر اطلاعاتی پرونده الکترونیک سلامت فردی بیماری تالاسمی 1. Liguori C, Pitocco F, Di Giampietro I, et al. Relationship between myocardial T2* values and cardiac volumetric and functional parameters in β-thalassemia patients evaluated by cardiac magnetic resonance in association with serum ferritin levels. European Journal of Radiology. 2013; 82(9): e441-e7.##2. Lin C-K, Chen L-P, Chang H-L, et al. Underestimation of the coexistence of iron deficiencies and thalassemia minors: a single institution experience in Taiwan. The Kaohsiung Journal of Medical Sciences. 2014; 30(8): 409-414.##3. Zarea K, Pordanjani SB, Pedram M, et al. Quality of life in children with thalassemia who referred to thalassemia center of Shafa Hospital. Jundishapur Journal of Chronic Disease Care. 2012; 1(1): 45-53.##4. Long J, Ye X, Lao K, et al. Detection of three common α-thalassemia in non-deletion types and six common thalassemia in deletion types by QF-PCR. Clinical Biochemistry. 2013; 46(18): 1860-1864.##5. Shahnavazi A, Abdi N, Allahyari E, et al. Effectiveness of eye movement desensitization and reprocessing on anxiety in children with thalassemia in a 12-month follow up. Armaghane Danesh. 2016; 20(11): 962-971.##6. Olivieri NF, Brittenham GM. Iron-chelating therapy and the treatment of thalassemia. Blood. 1997; 89(3): 739-761.##7. Yazdi K, Sanagoo A, L J. Psychosocial, social and financial problems with coping strategies among families with thalassemic patients. Journal of Gorgan University of Medical Sciences. 2007; 9(2): 71-75. [Persian].##8. Ahmadi H, Nilashi M, Shahmoradi L, et al. Hospital information system adoption: expert perspectives on an adoption framework for malaysian public hospitals. Computers in Human Behavior. 2017; 67:161-189.##9. Nazi KM, Hogan TP, Wagner TH, et al. Embracing a health services research perspective on personal health records: lessons learned from the VA My HealtheVet system. Journal of General Internal Medicine. 2010; 25(1):62-67.##10. Rangraz JF, Ahmadi M, Sadoughi F, et al. Concepts and applications of personal health records in selected countries. Health Information Management. 2012; 9(2): 147-160. [Persian].##11. Azizi A, Abdolkhani R. The case study of effect of hospital information system in improvement of Razi hospital performance. Jentashapir Journal of Health Research. 2012; 2(4): 185-190. [Persian].##12. Shahmoradi L, Habibi-Koolaee M. Integration of health information systems to promote health. Iranian Journal of Public Health. 2016; 45(8): 1096-1097.##13. Ahmadi M, Rezaei H, Shahmoradi L. Electronic health record: structure, content, and evaluation. Tehran: Jafari Publication; 2008. [Persian].##14. Safdari R, Dargahi H, Halabchi F, et al. A comparative study of the athlete health records’ minimum data set in selected countries and presenting a model for Iran. Journal of Payavard Salamat. 2014; 8(2): 134-142. [Persian].##15. Abdelhak M, Grostick S, Hanken MA. Health information: management of a strategic resource. Tehran: Elsevier Health Sciences; 2014. [Persian].##16. Safdari R, Shahmoradi L, Ebrahimi M. Minimum data set of anatomical pathology information system from the perspective of experts. Journal of Payavard Salamat. 2015; 9(3): 300-314.##17. Mahmoudvand Z, Kamkar M, Shahmoradi L,et al. Determination of minimum data set (msd) in echocardiography reporting system to exchange with iran’s electronic health record (ehr) system. Acta Informatica Medica. 2016; 24(2): 116-119.##18. Svensson-Ranallo PA, Adam TJ, Sainfort F. A framework and standardized methodology for developing minimum clinical datasets. AMIA Summits on Translational Science Proceedings. 2011; 2011: 54-58.##19. Ahmadi M, Bashiri A. A minimum data set of radiology reporting system for exchanging with electronic health record system in Iran. Journal of Payavard Salamat. 2014; 8(2): 121-133.##20. Mohammadi A, Ahmadi M, Bashiri A, et al. Designing the minimum data set for orthopedic injuries. 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Many Moving Parts: Evaluating the Implementation of the Kin KeeperSM Cancer Prevention Intervention Many Moving Parts: Evaluating the Implementation of the Kin KeeperSM Cancer Prevention Intervention 2 1 فاقد چکیده فارسی می باشد. 2 Introduction: This paper details an evaluation of the implementation and feasibility of a multilevel project entitled Kin KeeperSM Cancer Prevention Intervention that utilizes community health workers (CHWs) to deliver breast and cervical cancer education. The evaluation includes intervention fidelity, participant satisfaction, participant retention, and the cost of program implementation. The main purpose of this paper is to disseminate findings in order to inform and promote similar community health programming. Methods: The evaluation framework integrates several models, including the Centers for Disease Control and Prevention (CDC) Evaluation Framework and the University of Wisconsin-Extension (UW-EX) Evaluation Model. This evaluation process is complex in that it: (1) is a CBPR; (2) is a Randomized Controlled Trial; (3) uses an ecological approach; and (4) is multicultural. Results: For intervention fidelity, we found that 90% of participants reported high fidelity in the delivery of the intervention as well as strong participant satisfaction. Likewise, 90% of CHWs also report high fidelity in training provided and intervention integrity. Over 36 months of follow-up, the participant retention rate was 79% or greater with no significant differences between the intervention and control groups. The cost to implement and deliver the program to each intervention participant was $151. Conclusion: These outcomes can inform policy in order to disseminate and implement quality health communication programming. 32 41 2017/10/92017/12/52017/12/32017/12/152017/11/17 1396/8/26 2018/02/132018/02/172018/02/132018/02/272018/02/27 1396/12/8 Sabrina Ford Sabrina Ford Michigan State University USA Sabrina.ford@hc.msu.edu Costellia Talley Costellia Talley Florida A;M University USA costellia.talley@famu.edu Cristian Meghea Cristian Meghea Michigan State University USA Cristian.Meghea@hc.msu.edu Karen Patricia Williams Karen Patricia Williams The Ohio State University USA williams.5963@osu.edu Cancer Prevention Black Latina Arab Women Health Disparities Health Communication 1. American Cancer Society. Cancer facts and figures for African Americans 2016-2018. 2017. available at https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/cancer-facts-and-figures-for-african-americans/cancer-facts-and-figures-for-african-americans-2016-2018.pdf.##2. Centers for Disease Control and Prevention. Cancer rates by race/ethnicity and sex. 2017. available at https://www.cdc.gov/cancer/dcpc/data/race.htm.##3. DeSantis CE, Fedewa SA, Goding Sauer A, et al. Breast cancer statistics, 2015: convergence of incidence rates between black and white women. CA: A Cancer Journal for Clinicians. 2016; 66(1): 31-42. ##4. American Cancer Society. Cancer facts and figures for Hispanics/Latinos 2015-2017. available at https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/cancer-facts-and-figures-for-african-americans/cancer-facts-and-figures-for-african-americans-2016-2018.pdf. ##5. Siu AL. Screening for breast cancer: U.S. preventive services task force recommendation statement. Annals of Internal Medicine. 2016; 164(4): 279-296. ##6. Verdial FC, Etzioni R, Duggan C, et al. Demographic changes in breast cancer incidence, stage at diagnosis and age associated with population-based mammographic screening. Journal of Surgical Oncology. 2017; 115(5): 517-522. ##7. Minkler M, Wallerstein N. Community-based participatory research for health: From process to outcomes. San Francisco, CA: Jossey-Bass; 2011.##8. Williams KP, Roman L, Meghea CI, et al. Kin keeperSM: design and baseline characteristics of a community-based randomized controlled trial promoting cancer screening in Black, Latina, and Arab women. Contemporary Clinical Trials. 2013; 34(2): 312-319. ##9. Oakley A, Strange V, Bonell C, et al. Process evaluation in randomised controlled trials of complex interventions. British Medical Journal. 2006; 332(7538): 413-416. ##10. Borrelli B, Sepinwall D, Ernst D, et al. A new tool to assess treatment fidelity and evaluation of treatment fidelity across 10 years of health behavior research. Journal of Consulting and Clinical Psychology. 2005; 73(5): 852-860. ##11. Treatment Fidelity Workgroup, National Institutes of Health Behavior Change Consortium. 2004.##12. Meghea CI, Williams KP. Aligning cost assessment with community-based participatory research the Kin Keeper intervention. Health Education & Behavior. 2015; 42(2): 148-152. ##13. Ford S, Meghea CI, Estes, T, et al. Assessing the fidelity of the Kin Keeper prevention intervention in African American, Latina, and Arab women. Health Education Research. 2014; 29(1): 158-165.##14. Campbell NC, Murray E, Darbyshire J, et al. Designing and evaluating complex interventions to improve health care. British Medical Journal. 2007; 334(7591): 455-459.##15. Nemcek MA. State of evaluation: Community health workers. Public Health Nursing. 2003; 20(4): 260-270.##16. Schulz AJ, Israel BA, Parker EA, et al. Engaging women in community-based participatory research for health: the east side village health worker partnership. In: Minkler M, Wallerstein N. Community-based participatory research for health: From process to outcomes. San rancisco, CA: Jossey-Bass; 2003;293-315.##17. Brach C, Fraser I. 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The Relationship Between Ischemic Heart Disease and Lifestyle (Case-control Study) بررسی ارتباط سبک زندگی با ابتلا به بیماری ایسکمی قلبی (مطالعه مورد-شاهدی) 2 1 زمینه و هدف : بیماری‌های قلبی-عروقی به عنوان شایعترین علت مرگ و میر در جهان می‌باشند. با توجه به روند صعودی و هزینه های سرسام آور مراقبت های بهداشتی و درمانی، این مطالعه با هدف بررسی ارتباط بین سبک زندگی و بیماری ایسکمی قلبی صورت پذیرفت. :روش هااین مطالعه به صورت مورد- شاهدی انجام گرفت. با نمونه360 نفری برای گروه مورد و 360 نفر برای گروه شاهد در مراکز بهداشتی شهرستان ارومیه انجام گرفت. دو گروه از نظر متغیرهای سن، جنس و محل سکونت همسان سازی شدند. ابزار گردآوری اطلاعات پرسشنامه استانداردسبک زندگی می باشدکه شامل10حیطه از سبک زندگی را مورد ارزیابی قرار می‌دهد. داده پس از جمع آوری وارد نرم افزار SPSS شد. برای آنالیز داده ها از آزمون های تی تست، کای دو و رگرسیون لجستیک در سطح معنی داری 05/0 استفاده گردید . نتایج: این مطالعه نشان داد که اختلاف میانگین بین دو گروه در حیطه های کنترل وزن و تغذیه، ورزش و تندرستی، سلامت جسمانی، سلامت اجتماعی، سلامت معنوی، سلامت روان شناختی، پیشگیری از بیماری ها معنی دار بود. افراد گروه مورد با توجه به کسب میانگین کمتر در معرض خطر بالایی برای ابتلا به بیماری ایسکمی قلبی بودند. : بحث ونتیجه گیرییافته های این پژوهش نشان دهنده این است که عدم تحرک کافی ، رژیم های غذایی پر چرب و کم فیبر و همچنین وضعیت نامناسب روانی می توانند دلایل عمده و ریسک فاکتور های مهمی در بروز ایسکمی قلبی باشند. 2 Introduction: Cardiovascular disease is one of the most common causes of death in the world. Because of uptrend and staggering expenses of health care and remedies, this study was investigated with goal of exploring the relationship between life style and Ischemic heart disease. Methods: This study was as case-control study. It consists of 360 participants for case group and 360 participants for control group in health centers of Uremia. Both groups were accommodated as age, sex, and location. Data collection tool was standard questionnaire of lifestyle which explored 10 types of life style. SPSS software has been used for data analysis where has been used of T-test, K2, and Logistic Regression in 0.05 significance (P=0.05). Results: The results of this study showed that, the mean difference between two groups was significant in terms of weight and nutrition control, exercise and health, physical health, social health, spiritual well- being, psychological health, and disease prevention. Case group is exposed of high risk of catching the Ischemic heart diseas due to less mean from analysis. Conclusion:The findings of this study indicate that insufficient mobility, high fat and low fiber diets, as well as poor mental status can be major causes and risk factors for the incidence of cardiac ischemia. 42 47 2017/10/92017/12/52017/12/32017/12/152017/11/172017/12/26 1396/10/5 2018/02/132018/02/172018/02/132018/02/272018/02/272018/02/27 1396/12/8 مرادعلی زارعی پور moradali zareipour Urmia University of Medical Sciences, Urmia, Iran Iran z.morad@yahoo.com وحید عیوقی رهنما Vahid Ayuoghi Rahnema Urmia University of Medical Sciences, Urmia, Iran Iran vahidayuoghi@yahoo.com افشین مختاری توانا Afshin Mokhtari Tavana Urmia University of Medical Sciences, Urmia, Iran Iran z.morad59@yahoo.com Keywords: Cardiac ischemia Coronary artery disease Lifestyle Case-control Study واژگان کلیدی: ایسکمی قلبی بیماری عروق کرونر سبک زندگی مطالعه مورد شاهدی 1. Rahmati Najarkolaei F, Ghaffarpasand E, Gholami Fesharaki M. Efficacy of life style educational intervention on chd risk factors: a systematic review study. Iranian Journal of Epidemiology. 2014; 10 (2) :1-14. [Persian].##2. Langarizadeh M, Sadr-Ameli MA, Soleymani M. Development of vital monitoring decision support system for coronary care unit inpatients. Journal of Health Administration. 2017; 20(67): 75-88. [Persian].##3. Eshah NF. Lifestyle and health promoting behaviours in Jordanian subjects without prior history of coronary heart disease. International Journal of Nursing Practice. 2011; 17(1): 27-35. ##4. Eslami R, Sajadi S A, Farsi Z. Comparing the effect of peer education and orientation tour on the stress of patients candidate for coronary angiography in selected Hospital of Aja University of Medical Sciences. Journal of Nursing and Midwifery Urmia University of Medical Sciences. 2015; 12(12): 1119-1127. [Persian].##5. Abdolkarimy M, Zareipour M, Mahmoodi H, et al. Health promoting behaviors and their relationship with self-efficacy of health workers. Iran Journal of Nursing. 2017; 30(105): 68-79.##6. Mahmoodi H, Hasanpoor E, Zareipour M, et al. Compare the health promoting behaviors among nurses, health and administrative staff. Iran Journal of Nursing. 2016; 29(99): 56-65.##7. Baghianimoghadam MH, Mirzaei M, Rahmidel T. Role of health beliefs in preventive behaviors of individuals at risk of cardiovascular diseases. Health System Research. 2013;8(7): 1151-1158. [Persian].##8. World Health Organization . Fighting Heart Disease and Stroke. 17 March 2002.##9. American Heart Association. Heart and Stroke Facts. The Association; 1993.##10. Del Gobbo LC, Kalantarian S, Imamura F, et al. Contribution of major lifestyle risk factors for incident heart failure in older adults: the cardiovascular health study. Journal of the American College of Cardiology. 2015; 3(7): 520-528.##11. Lali M, Abedi A, Kajbaf MB. Construction and validation of the lifestylequestionnaire (lsq). Psychological Research . 2012; 15 (1): 64-80.##12. Truthmann J, Busch MA, Scheidt-Nave C, et al. Modifiable cardiovascular risk factors in adults aged 40–79 years in Germany with and without prior coronary heart disease or stroke. Bio Med Central Public Health. 2015; 15(1): 701-707.##13. Najar L, Haidai A, Behnam Vashani HR. The relationship between lifestyle and essential hypertension in sabzevar, Iran. Journal of Sabzevar University of Medical Sciences. 2005; 11(2): 49-55. [Persian]. ##14. Laccetti R, Pota A, Stranges S, et al. Evidence on the prevalence and geographic distribution of major cardiovascular risk factors in Italy. Public Health Nutrition. 2013; 16(2): 305-315.##15. Li J, Siegrist J. Physical activity and risk of cardiovascular disease-a meta-analysis of prospective cohort studies. International journal of Environmental Research and Public Health. 2012; 9(2): 391-407. ##16. Fernandes T, Magalhaes FC, Roque FR, et al. Exercise training prevents the microvascular rarefaction in hypertension balancing angiogenic and apoptotic factors. Hypertension. 2012; 59: 513-520.##17. Bastien M, Poirier P, Lemieux L, et al. Overview of epidemiology and contribution of obesity to cardiovascular disease. Progress in Cardiovascular Diseases. 2014; 56(4): 369-381. ##18. De Schutter A, Lavie CJ, Milani RV. The impact of obesity on risk factors and prevalence and prognosis of coronary heart disease-the obesity paradox. Progress in Cardiovascular Diseases. 2014; 56(4): 401-408.##19. Baba S, Iso H, Mannami T, et al. Cigarette smoking and risk of coronary heart disease incidence among middle-aged Japanese men and women: the JPHC Study Cohort I. European Journal of Cardiovascular Prevention & Rehabilitation. 2006; 13(2): 207-213.##20. Ebbert JO, Janney CA, Sellers TA, et al. The association of alcohol consumption with coronary heart disease mortality and cancer incidence varies by smoking history. Journal of General Internal Medicine. 2005; 20(1): 14-20.##21. Taghaddosi M, Afazel MR, Seyedi M. A survey on the relation of dietary habits to ischemic heart diseases. Razi Journal of Medical Sciences. 2007; 14(54): 53-62. [Persian].##22. Shirani F, Zaribaf F, Esmaillzadeh A. Dietary glycemic index and glycemic load in relation to cardiovascular disease risk factors: A review of current evidence. Health System Research. 2014; 10(4): 641-654. [Persian].##23. Chalmers JA, Quintana DS, Abbott MJ, et al. Anxiety disorders are associated with reduced heart rate variability: a meta-analysis. Frontiers in psychiatry. 2014; 5(1): 80-89.## ##

The Relationship of Multiple Intelligence and Health Literacy of Health Students in Gonabad UMS, 2017 ارتباط هوش چندگانه و سواد بهداشتی دانشجویان بهداشتی در دانشگاه علوم پزشکی گناباد 2 1 زمینه و هدف: با توجه به اهمیت سواد سلامت برای ایجاد یک جامعه سالم، نقش هوش چندگانه از بین عوامل موثر بر سواد سلامت مدنظرقرارگرفته‎است. هدف پژوهش حاضر نقش هوش چندگانه بر سواد سلامت دانشجویان دانشکده بهداشت علوم پژشگی گناباد می‌باشد. روش ها: این پژوهش توصیفی از نوع همبستگی است، جامعه آماری شامل تمام دانشجویان مشغول به تحصیل دانشکده بهداشت علوم پزشکی گناباد سال 1396 می باشد. که حجم کل نمونه براساس نمونه گیری تصادفی طبقه ای با استفاده از جدول گرجسی و مورگان، 170 تعیین شد. به منظور جمع‌آوری داده‌ها از پرسشنامه سواد سلامت منتظری و همکاران، پرسشنامه هوش چندگانه گاردنر، استفاده شد. داده ها از طریق spss 20 تجزیه و تحلیل شدند. برای تحلیل داده‌ها از آزمون آماری ضریب همبستگی پیرسون، رگرسیون و آزمون تی مستقل استفاده شد. یافته ها: بین همه ابعاد هوش چندگانه، با سواد سلامت رابطه معناداری وجودداشت. هم چنین مولفه‌های هوش چندگانه قادر به پیش بینی سواد سلامت دانشجویان بودند. بین ابعاد مختلف هوش چندگانه دانشجویان دختر و پسر به طور کلی رابطه معناداری وجود نداشت. بحث و نتیجه گیری: این پژوهش نشان داد که مولفه‌های هوش چندگانه با سواد سلامت رابطه معنادار وجوددارد و مولفه های هوش چندگانه قادر به پیش بینی سواد سلامت دانشجویان می‌باشد، بنابراین پیشنهاد می‌شود که از برنامه درسی مبتنی بر هوش چندگانه در طراحی و آموزش دروس دانشجویان دانشکده بهداشت استفاده شود. 2 Introduction: Regarding the importance of health literacy for creating a healthy society, the role of multiple intelligence is among the factors influencing health literacy. The purpose of this study is to investigate the role of multiple intelligence on health literacy of students. Methods: This is a descriptive correlational study. The statistical population includes students studying at the School of Public Health at Gonabad University of Medical Sciences in 2017. The total volume of the sample was determined 170 based on random stratified sampling. In order to collect the data, Montazeri et al.'s Health Literacy Questionnaire, and Gardner's Multiple Intelligence Questionnaire were used. Data was analyzed through spss 20. Pearson correlation coefficient, regression and independent t-test were used to analyze the data. Results: The mean and standard deviation of students' score in the health literacy variable were 62.01 ± 9.17. The results showed that all aspects of multiple intelligence have a meaningful relationship with health literacy. Also, multiple intelligence components were 43.3 percent able to predict student health literacy. conclusion: Considering the positive and significant relationship between multiple intelligence and health literacy, it is suggested that training courses and workshops be used to promote and strengthen the multiple intelligence and health literacy of students at the School of Public Health. 48 56 2017/10/92017/12/52017/12/32017/12/152017/11/172017/12/262017/10/11 1396/7/19 2018/02/132018/02/172018/02/132018/02/272018/02/272018/02/272018/02/21 1396/12/2 علی اکبر عجم ali akbar ajam Department of Educational Sciences, Payame noor University,Tehran, Iran Iran aliakbarajam1387@gmail.com ام البنین همتی پور ommolbanin hemmati poor Management and Higher Education Planning, Shahid Beheshti University, Tehran, Iran Iran omolbaninhamati@gmail.com Health Literacy Gardner's Multiple Intelligence Gardner Students سواد سلامت هوش چندگانه گاردنر دانشجویان 1. Bruselius-Jensen M, Bonde AH, Christensen JH. 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Epidemiological Study of Scorpion Sting in Lordegan City during the Years 2014- 2017 بررسی اپیدمیولوژیک عقرب گزیدگی در شهرستان لردگان طی سال های 92-95 2 1 زمینه و هدف: عقرب گزیدگی یکی از مشکلات عمده بهداشتی در اکثر کشور ها می باشد. شهرستان لردگان یکی از مناطقی است که گزارش متعدد از عقرب گزیدگی در آن اتفاق می افتد. هدف این مطالعه توصیف اپیدمیولوژیک و دموگرافیک افراد عقرب گزیده برای انجام اقدامات پیشگیرانه می باشد. روش ها: مطالعه حاضر از نوع توصیفی مقطعی بوده است که اطلاعات کلیه بیماران عقرب گزیده در مرکز بهداشت شهرستان لردگان طی سال 1392 تا 1395 جمع آوری و مورد تجزیه و تحلیل قرار گرفت. یافته ها : نتایج مربوطه نشان داد که تعداد کل موارد عقرب گزیدگی 2422 مورد بوده است که از این تعداد 1124 مورد زن (4/46 ٪) و 1298 مورد مرد (6/53 ٪) بودند از مجموع کل گزش 2 مورد مرگ اتفاق افتاده است میزان کشندگی این بیماری در این منطقه حدود ۱./. در1000 نفر بوده است . 2060 مورد روستایی ( 1/85 ٪ ) و 362 مورد شهری (9/14 ٪) می باشد .764 نفر (5/31 ٪ ) کمتر از ۱ ساعت و ۳۰ دقیقه و 749 نفر( 31 %) بین ۱ ساعت و ۳۰ دقیقه تا ۳ ساعت و 909 نفر (5/37 %) بیشتر از سه ساعت به اورژانس مراجعه کردند . گزش در اندام های بدن شامل ( پا 39 ٪ ، دست 35 ٪ ، تنه 20 ٪ و سر و گردن 6 ٪) بوده است . ( 9/99 ٪) بهبود و (1/. ٪ ) فوت، بیشترین موارد گزش از فروردین تا مهر ماه می باشد . بیشترین گروه سنی دچار گزش 15-24ساله و کمترین گزش در گروه سنی 65 سال و بالاتر می باشد . از کل گزش 6/80 ٪ توسط عقرب زرد و 4/19 ٪ توسط عقرب سیاه دچار گزش شدند. بحث و نتیجه گیری : عقرب گزیدگی در شهرستان لردگان به ویژه در فصل گرما شایع هست، بدین ترتیب آگاهی دادن و آموزش به عموم مردم و حفاظت های فردی می تواند از مواد عقرب گزیدگی جلوگیری کند 2 Introduction: Scorpion bite is one of the major health problems in most countries. Lordegan is one of the areas where several reports of Scorpion bite occur. The purpose of this study was to describe the epidemiological and demographic characteristics of selected scorpions for preventive measures. Methods: This descriptive cross-sectional study was conducted to collect information about all the scorpion patients in Lordegan city health center during 92-95. Results: The results showed that the total number of scorpion scourges was 2422, of which 1124 cases were female (46.4%) and 1298 cases were male (53.6%).of the total bite, 2 deaths occurred. Death rate The disease in this area is about .01 % In 1000 people, 2060 cases were rural (85.1%) and 362 were urban (14.9%). 764 (31.5%) were less than 1 hour and 30 minutes, and 749 people (31%) were between 1 hour and 30 minutes to 3 Hours and 909 people (37.5%) visited more than three hours. Bites in the body organs included (39% leg , 35% hands, 20% trunk, 6% head and neck). (99.9%) Improvement , and (.01%) Death , most bites are from April To the month of October. Most of the age group had bites of 15 to 24 years old and the lowest bites were in the age group of 65 and older. 80.6% of bites were scorpions by yellow scorpions and 19.4% by scorpions. Conclusion: Scorpio bites are common in Lordegan, especially in the heat season, thus informing and educating the general public and individual protection can prevent scorpion bites. 57 61 2017/10/92017/12/52017/12/32017/12/152017/11/172017/12/262017/10/112018/01/1 1396/10/11 2018/02/132018/02/172018/02/132018/02/272018/02/272018/02/272018/02/212018/02/17 1396/11/28 مسعود امیری Masoud Amiri Department of Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Iran مهدی نادری لردجانی mehdi Naderi Lordjani Department of public Health, Shahrekord University of Medical Science, Shahrekord, Iran Iran lordejani@yahoo.com حسن عسگرپور Hasan Asgarpour Department of Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Iran Epidemiology Scorpion bite Lordegan city اپیدمیولوژی عقرب گزیدگی لردگان 1. Navidpour S, Ezatkhah M, Kovařík F, et al. Scorpions of Iran (Arachnida: Scorpiones). Part VII. Kerman Province. 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