ORIGINAL_ARTICLE
Spatiotemporal assessment of some heavy metals in the Anzali International Wetland during 2007-2014
Background: Todays, water resources are affected by various factors such as organic materials, pathogens (bacterial and microbial agents), and minerals (including heavy metals). For this reason, continuously examining the spatiotemporal changes in environmental pollutants is one of the most critical components of water quality studies. Methods: The sampling of some heavy metals (Ni, Cd, Zn, Pb) took place from 8 different stations in four seasons of 2014. After the preparation of the samples, they were used to measure the elements based on the technique proposed in Standard Methods. Results: Among the studied stations, the highest concentrations of metals were measured at the Pirbazar Station. The concentration of these metals was higher in the spring and summer than in the rest of the seasons. The results showed that the concentration of metals in water at different stations in the four seasons was Ni 0.05), but the results of the paired-sample t-test showed a significant increase in heavy metals(Ni, Cd, Zn, Pb) in comparison with the results obtained in 2007 (p <0.05). Conclusion: Adoption of appropriate management approaches for comprehensive environmental assessment and control of anthropogenic pollutants reducing the organic load from industrial, urban and agriculture waste, continuous quality surveillence around the year and finally environmentaly upgrading the wetland is suggested.
https://jhad.kmu.ac.ir/article_91311_eb7e4329c3ffa4a7b25218258cf12cb8.pdf
2019-08-01
114
128
10.22034/8.2.114
Anzali wetland
Heavy metals
Lead
Nickel
zinc
Cadmium
Maryam
Fallah
maryam.fallah85@gmail.com
1
LEAD_AUTHOR
Ahmadreza
Pirali Zefrehei
2
AUTHOR
Seyed Aliakbar
Hedayati
3
AUTHOR
1. Azari Dehkordi F. Determining the border of the preserved area in Anzali wetlands. Tehran: The Iranian Department of Environmental Protection; 2009. Persian 2. Etezad M. 1994. Project for studying the ecology and hydrology of Anzali wetland and its rivers and output stream, The Iranian Department of Environmental Protection. Tehran: 1994. Persian 3.Ganjidoost H.The protection of Quantitative and qualitative identification of urban, industrial and agricultural waste water sources in the Siahdarvishan protected area and providing a management plan for reduction and control and purification of pollutants, Tehran: 2005. Persian 4. Ramírez A, Solano F, Fernández N. Physico-chemical water quality indices - a comparative review. Revista BISTUA 2004; 2(1): 19-30. 5. Pirasteh M. The protection and restoration of the Anzali wetland, Vol. 1. Guilan: Guilan Province Department of Environmental Protection; 1995. Persian 6. Li X, Liu L, Wang Y, Luo G, Chen X, Yang X, et al. Integrated Assessment of Heavy Metal Contamination in Sediments from a Coastal Industrial Basin, NE China. PLoS ONE 2012;7(6): e39690. https://doi.org/10.1371/journal.pone.0039690 7. Rauret G, F. López-Sánchez J, Sahuquillo A, Rubio R, Davidson C, Ure A, et al. Improvement of the BCR three step sequential extraction procedure prior to the certification of new sediment and soil reference materials. J Environ Monit 1999;1(1):57-61. doi: 10.1039/A807854H 8. Rana SV. Environmental Pollution: Health and Toxicology. 2th ed. Oxford, U.K: Alpha Science Intl Ltd; 2011. 9. Demirak A, Yilmaz F, Tuna AL, Ozdemir N. Heavy metals in water, sediment and tissues of Leuciscus cephalus from a stream in southwestern Turkey. Chemosphere 2006;63(9):1451-8. doi: 10.1016/j.chemosphere.2005.09.033 10. Esmaeeili Sari A. Project for studying the ecology and hydrology of the Anzali wetland and its input rivers and output streams; 2002. Persian 11. Khoshnoud R. Investigation of heavy metals accumulation in two species of shrimp (V, Pb, Ni, Hg, Cd) of Bandar Abbas and Bandar Lengeh, [dissertation]. Ahvaz: Islamic Azad University- Ahvaz Branch; 2006. Persian 12. Altindag A, Yigit S. Assessment of heavy metal concentrations in the food web of lake Beysehir, Turkey. Chemosphere 2005;60(4):552-6. 13. Harrison RM. Pollution: Causes, Effects and Control. 4th ed. Cambridge: Royal Society of Chemistry; 2001. 14. Morillo J, Usero J, Gracia I. Partitioning of metals in sediments from the Odiel River (Spain). Environ Int 2002;28(4):263-71. doi: 10.1016/S0160-4120(02)00033-8 15. Monavari M. Ecological Survey of Anzali Wetland. Guilan: Gilakan Press; 1990. Persian 16. Zamani Hargalani F, Karbassi A., Monavari SM, Abroomand Azar P. Origin and Partitioning of Heavy Metals in Sediments of the Anzali Wetland. Environmental Sciences 2013; 11(2):79-88. Persian 17. Khodaparast H. Investigation of oil hydrocarbons in floating sites in Anzali Wetland and Coasts of the Caspian Sea (Guilan Province), Guilan: Guilan Province Department of Environmental Protection; 2007. Persian 18. Mirroshandel M. Abdous A. Monitoring the level of ten heavy metals in 24 points of water and surface sediments of Anzali wetland, The 1th Conference and Exihibition on Environment Energy and Clean Industry; 2013 Dec 2-3; Tehran: Tehran University, Graduate Faculty of Environment; 2013. P. 14. Persian 19. Sertaj M, Fatollahi F, Filizadeh Y. An investigation of the evolution of distribution and accumulation of heavy metals (Cr, Ni, Cu, Cd, Zn and Pb) in Anzali Wetland’s Sediments. Iranian Journal of Natural Resources 2005; 58(3):623-34. Persian 20. Babaei H, Khodaparast H, Abedini A. Contamination of sediments with heavy metals Cd, Cn, Fe, Ph in the east of Anzali Lagoon. Iranian Scientific Fisheries Journal 2007;16(1):9-16. Persian doi: 10.22092/isfj.2007.114926 21. Paydar M, Sharif Fazeli M, Riahi AR. Determination of heavy metals content in Astacus leptodactylus caspicus in Anzali Lagoon. Iranian Scientific Fisheries Journal 2003; 12(2): 1-14. Persian 22. Amini Ranjbar G. Heavy metal concentration in surficial sediments from Anzali wetland. Iranian Scientific Fisheries Journal 1992; 3(3): 5-27. Persian doi: 10.22092/isfj.1994.113910 23. Khosravi M, Bahramifar N, Ghasempouri M. Survey of Heavy Metals (Cd, Pb, Hg, Zn and Cu) Contamination in Sediment of Three Sites AnzaliWetland. Iran J Health & Environ 2011; 4(2): 223-32. Persian 24. Babaei H, Khodaparast SH. Study on the Total Petroleum Hydrocarbon (TPH) and heavy metals (Zn, Cu, Fe, Pb, Cr, Cd and Hg) Concentrations in Anzali Wetland Outlets. Journal of Wetland Ecobiology 2009;1(1):33-45. Persian 25. Sabet Raftar K. Azolla analysis of the environmental impacts on aquatic ecosystems of the wetlands [dissertation]. Tehran: Tehran University; 1994. Persian) 26. Esmaeeili H. Areas under the supervision of the Environmental Protection. Guilan: Department of Guilan Province; 1999. Persian 27. Eaton AD, Clesceri LS, Greenberg AE, Franson MA Standard Methods for the Examination of Water and Wastewater. American Public Health Association; 1995. 28. The Environmental Protection Agency (EPA). 2003. Drinking Water Contaminants – Standards and Regulations. [cited 2018 Jun 10]. Available from: http:// https://19january2017snapshot.epa.gov/dwstandardsregulations_.html 29. Gray NF. Drinking Water Quality: Problems and Solutions. 2th ed. NewYork: Cambridge University Press; 2008. 30. World Health Organization (WHO). Guidelines for drinking water quality; 2004 [cited 2018 Jun 11]. Available from:https://www.who.int/water_sanitation_health/dwq/GDWQ2004web.pdf 31. Chapman DV. Water Quality Assessments: A Guide to the Use of Biota, Sediments and Water in Environmental Monitoring. 2th ed. London & NewYork: CRC Press; 1996. 32. Yang H, Shen Z, Zhu S, Wang W. Heavy metals in wetland plants and soil of Lake Taihu, China. Environ Toxicol Chem 2008;27(1):38-42. doi: 10.1897/07-089.1 33. Newcomb DJ, Hale K, Phillipuk CR, Schleifer D, Stanuikynas TJ. Surface water and Riparian areas of the Raritan River Basin: A technical report for the Raritan Basin Watershed Management Project. New Jersey Environmental Digital Library; 2002. 34. Brenner A, Hoekstra EJ. Drinking water quality standards and regulations. IWA Publishing; 2012. 35. Ayers RS, Westcot DW. Water quality for agriculture. Food and Agriculture Organization of the United Nations Rome; 1985. 36. Wang Y, Chen P, Cui R, Si W, Zhang Y, Ji W. Heavy metal concentrations in water, sediment, and tissues of two fish species (Triplohysa pappenheimi, Gobio hwanghensis) from the Lanzhou section of the Yellow River, China. Environ Monit Assess 2010;165(1-4):97-102. doi: 10.1007/s10661-009-0929-2. 37. Institute of Standards and Industrial Research of Iran. ISIRI 1053: 1972. Specifications for drinking water. Iran: ISIRI; 1972. 38. Wogu MD, Okaka CE. Pollution studies on Nigerian rivers: Heavy metals in surface water of Warri river, Delta State. Journal of Biodiversity and Environmental Sciences 2011; 1(3):7-12. 39. Khodaparast H. Comprehensive study of Anzali lagoon fisheries, Fisheries Departmant of Guilan Province, Deputy of Breeding. Guilan: Project Moderator: Fisheries Research Center of Guilan Province; 2002. Persian 40. Obasohan EE, Eguavoen OI. 2008. Seasonal variations of bioaccumulation of heavy metals in a freshwater fish (Erpetoichthys calabaricus) from Ogba River, Benin City, Nigeria. Indian Journal of Animal Research 2008;42(3):171-9. 41. Neal C, Jarvie HP, Whitton BA, Gemmell J. The water quality of the River Wear, north-east England. Sci Total Environ 2000; 251-252:153-72. doi.org/10.1016/S0048-9697(00)00408-3 42. Japan International Cooperation Agency, Department of the Environment, Ministry of Jihad-E-Agriculture the Islamic Republic of Iran. The Study on Integrated Management for Ecosystem Conservation of the Anzali Wetland in the Islamic Republic of Iran; 2005. p. 182. 43. Ministry of Jihad. Ministry of Jihad, Water Committee. Studies for reviving the Anzali wetlands; 1988. Vol. 1-2. p. 320. Persian 44. Qu W, Kelderman P. Heavy metal contents in the Delft canal sediments and suspended solids of the River Rhine: multivariate analysis for source tracing. Chemosphere 2001;45(6-7):919-25.
1
ORIGINAL_ARTICLE
Prevalence of Sick Building Syndrome (SBS) among Students and Teachers of Guidance Schools in Babol, Winter 2018
Background: It is important to determine the prevalence of Sick Building Syndrome (SBS) symptoms in school students and teachers, which is relevant to the physical environment of the building. The aim of this study was to determine the prevalence of sick building syndrome in students and teachers of guidance schools in Babol. Methods: This descriptive and analytical cross-sectional study was carried out in 15 guidance schools in Babol in the winter of 2018, among 150 students and 95 teachers. The MM040EA (Miljomedicine040) questionnaire was used to collect data and was completed by interview. Data were analyzed using Chi-square test. Results: Among the 12 symptoms of SBS, 50.7% of students had fatigue, and 44.7% had headaches. There was a significant correlation between heavy headedness (p = 0.42) and headache (p = 0.029) with students’ gender. There was a significant correlation between the teachers’ gender with the redness or dryness of facial skin (p = 0.015), redness or itching of hands (p = 0.009) and also fatigue (p = 0.003). There was a significant correlation between the symptoms of the SBS with very high temperature in the students (p = 0.050), and with the noises (p = 0.40) in the teachers. Conclusion: The present study showed that more than half of the students and teachers had symptoms of SBS. Since the symptoms of SBS are associated with some physical conditions of the classroom and school environment, the health condition of the schools should be annually checked for all aspects.
https://jhad.kmu.ac.ir/article_91312_6438c866d97b795cf902a02606f40fd4.pdf
2019-08-01
129
140
10.22034/8.2.129
SBS
Students
Teachers
Ahmad
Zarei
1
AUTHOR
Abdoliman
Amouei
2
AUTHOR
Zahra
Aghalari
3
LEAD_AUTHOR
Mojtaba
Afsharnia
4
AUTHOR
Mehdi
Ghasemi
5
AUTHOR
Zahra
Geraili
6
AUTHOR
1. Maoz-Segal R, Agmon-Levin N, Israeli E, Shoenfeld Y. The sick building syndrome as a part of 'ASIA' (autoimmune/auto-inflammatory syndrome induced by adjuvants). Harefuah 2015;154(2):129-32. Hebrew 2. Sadeghniat K, PourYaghoub GR, Saberi HR, Hanachi P. Prevalence of sick building syndrome (SBS) in employees of Ministry of Housing and Urban Development, summer 2002. Feyz 2004;8(2):1-6. Persian 3. Jaakkola JJ, Tuomaala P, Seppänen O. Air recirculation and sick building syndrome: a blinded crossover trial. Am J Public Health 1994;84(3):422-8. 4. Marmot AF, Eley J, Stafford M, Stansfeld SA, Warwick E, Marmot MG. Building health: an epidemiological study of "sick building syndrome" in the Whitehall II study. Occup Environ Med 2006;63(4):283-9. doi: 10.1136/oem.2005.022889 5. Epstein Y. Sick building syndrome. Harefuah 2008;147(7):607-8, 662. Hebrew 6. Takaoka M, Suzuki K, Norback D. Sick building syndrome among junior high school students in Japan in relation to the home and school environment. Glob J Health Sci 2015;8(2):165-77. doi: 10.5539/gjhs.v8n2p165. 7. Gomzi M, Bobic J, Radosevic-Vidacek B, Macan J, Varnai VM, Milkovic-Kraus S, et al. Sick building syndrome: psychological, somatic, and environmental determinants. Arch Environ Occup Health 2007;62(3):147-55. doi: 10.3200/AEOH.62.3.147-155. 8. Shoemaker RC, House DE. A time-series study of sick building syndrome: chronic, biotoxin-associated illness from exposure to water-damaged buildings. Neurotoxicol Teratol 2005;27(1):29-46. doi: 10.1016/j.ntt.2004.07.005 9. Wan GH, Li CS. Dampness and airway inflammation and systemic symptoms in office building workers. Arch Environ Health 1999;54(1):58-63. doi: 10.1080/00039899909602238 10. Ghaneian M, Morovvati Sharif Abad M, Ehrampoosh M, Haj Hosseini M. Prevalence of symptoms of sick building syndrome and its associated factors in intensive care nurses in Kerman University of Medical Sciences educational hospitals. Occupational Medicine Quarterly Journal 2013;5(3):49-57. Persian 11. Kholasezadeh G, Mirmohammadi Meybodi S, Mehrparvar A, Fallah Tafti T, Abedinzadeh M, Nourani Yazdi F. Assessment of sick building syndrome among office workers in Shahid Sadoughi University of Medical Sciences in 2008. Iran Occupational Health Journal 2011;8(1):70-6. Persian 12. Lim FL, Hashim Z, Md Said S, Than LT, Hashim JH, Norback D. Sick building syndrome (SBS) among office workers in a Malaysian university--Associations with atopy, fractional exhaled nitric oxide (FeNO) and the office environment. Sci Total Environ 2015;536:353-361. doi: 10.1016/j.scitotenv.2015.06.137. 13. Runeson-Broberg R, Norback D. Sick Building Syndrome (SBS) and Sick House Syndrome (SHS) in relation to psychosocial stress at work in the Swedish workforce. Int Arch Occup Environ Health 2013;86(8):915-22. doi: 10.1007/s00420-012-0827-8. 14. Barmark M. Social determinants of the sick building syndrome: exploring the interrelated effects of social position and psychosocial situation. Int J Environ Health Res 2015;25(5):490-507. doi: 10.1080/09603123.2014.979776. 15. Norback D. An update on sick building syndrome. Current opinion in allergy and Curr Opin Allergy Clin Immunol 2009;9(1):55-9. doi: 10.1097/ACI.0b013e32831f8f08. 16. Lu CY, Tsai MC, Muo CH, Kuo YH, Sung FC, Wu CC. Personal, psychosocial and environmental factors related to sick building syndrome in official employees of Taiwan. Int J Environ Res Public Health 2017;15(1). pii: E7. doi: 10.3390/ijerph15010007. 17. Aghalari Z, Ashrafian Amiri H, Mirzaei M, Lelahi D, Jafarian S. Investigation of Environmental Health and Safety among schools in Babol- 2015. Rahavard Salamat Journal 2018; 3(3): 12-9. Persian 18. Pegas PN, Evtyugina MG, Alves CA, Nunes T, Cerqueira M, Franchi M, et al. Outdoor/indoor air quality in primary schools in Lisbon: a preliminary study. Química Nova 2010;33:1145-9. 19. Hobobati MM. Evaluation of environmental health of primary schools in Yazd. Journal of Shahid Sadoughi University of Medical Sciences 2001; 8(4): 89-93. Persian 20. Vafaeenasab MR, Morowatisharifabad MA, Taghi Ghaneian M, Hajhosseini M, Ehrampoush MH. Assessment of sick building syndrome and its associating factors among nurses in the educational hospitals of Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Glob J Health Sci 2014;7(2):247-53. doi: 10.5539/gjhs.v7n2p247. 21. Smedje G, Wang J, Norback D, Nilsson H, Engvall K. SBS symptoms in relation to dampness and ventilation in inspected single-family houses in Sweden. Int Arch Occup Environ Health 2017;90(7):703-11. doi: 10.1007/s00420-017-1233-z. 22. Etemadinezhad S, Esmaili Naftchali N, Alizade Larimi A, Yazdani Charati J. Prevalence of sick building syndrome in bank employees and its relationship with job satisfaction and some environmental factors. J Mazandaran Univ Med Sci 2017;27(152):153-64. Persian 23. Norback D, Hashim JH, Markowicz P, Cai GH, Hashim Z, Ali F, et al. Endotoxin, ergosterol, muramic acid and fungal DNA in dust from schools in Johor Bahru, Malaysia--Associations with rhinitis and Sick Building Syndrome (SBS) in junior high school students. Sci Total Environ 2016;545-546:95-103. doi: 10.1016/j.scitotenv.2015.12.072. 24. Kandouci C, Mahi M, Kandouci AB.Syndrome des bâtiments malades dans le secteur bancaire de la ville de Sidi Bel-Abbès « sick building syndrom». Le Journal De La Médecine Du Travail – JMT N°19.2013; 87-92. 25. Zhang X, Li F, Zhang L, Zhao Z, Norback D. A longitudinal study of Sick Building Syndrome (SBS) among pupils in relation to SO2, NO2, O3 and PM10 in schools in China. PLoS One 2014;9(11):e112933. doi: 10.1371/journal.pone.0112933. 26. Jung CC, Liang HH, Lee HL, Hsu NY, Su HJ. Allostatic load model associated with indoor environmental quality and sick building syndrome among office workers. PLoS One 2014;9(4):e95791. doi: 10.1371/journal.pone.0095791. 27. Zarei A, Amouie A, Afsharnia M, Qasemi M, Feyzimoghadam A, Geraili Z, et al. Evaluation of carbon dioxide concentration in classrooms in Babol and Gonabad cities in 2018 and its relationship with classroom ventilation and temperature: a short report. Journal of Rafsanjan University of Medical Sciences 2018;17(8):789-98. Persian 28. Jafari MJ, Naserpour M, Monazzam MR, Saremi M, Pouragha Shahneshin HR, Jam Bar Sang S. Evaluation of students’ cognitive performance while exposed to heat using continues performance test. Journal of Occupational Hygiene Engineering 2014; 1(2):1-9. Persian
1
ORIGINAL_ARTICLE
Sleep Quality among Shift-working Nurses in the Hospitals of Rafsanjan City, Iran, in 2018
Background: Nursing deals with shift working in different hours of the day and night. Sleep disorders due to disturbed sleep-wake cycle and the circadian cycle lead to physical and mental disintegration of the person. This study was conducted to examine the sleep quality of shift-working nurses in the hospitals of Rafsanjan. Methods: This descriptive and analytical cross-sectional study was carried out on 180 shift-working nurses in educational hospitals of Rafsanjan during April and May 2018. In order to collect data, the Pittsburgh Sleep Quality Questionnaire was used. Data analysis was done using t-test، Chi-Square، Fisher Exact test and through SPSS 18. Results: The sleep quality of 56 shift-working nurses (31.10%) was optimal, while 124 nurses (68.90%) had inappropriate sleep quality. There was a statistically significant relationship between sleep quality and job satisfaction among nurses (P=0.036), so that, nurses who had job satisfaction had also optimal sleep quality. In terms of sleep quality dimensions, delayed sleep was the most prominent problem of nurses. Conclusion: Research findings showed improper sleep quality of shift-working nurses in hospitals of Rafsanjan, which probably affects their job satisfaction, as well as their mental and general health. This can cause serious disorders in professional performance, quality of nursing services, personal life and other roles.
https://jhad.kmu.ac.ir/article_91313_190c3da1b1499cfd491203a16ff6c854.pdf
2019-08-01
141
151
10.22034/8.2.141
Sleep quality
Nurses
Shift Work
Pittsburgh Sleep Quality Questionnaire
Rafsanjan
Shirin
Khajeh Hosseini
shirin.khaje89@gmail.com
1
AUTHOR
Ahmadreza
Sayadi
sayadiahmad@yahoo.com
2
AUTHOR
Mohammad
Mobini Lotfabad
3
AUTHOR
Shahin
Heidari
kermanshah3252@yahoo.com
4
LEAD_AUTHOR
1. Bozorg Sohrabi F, Soleymani A, Habibi M, Emami Zeydi A, Nejad Gorji H, Hasanzade Kiab F. Sleep quality and its related factors in nurses, work in open heart intensive care units in Mazandaran providence: a cross-sectional study. Journal of Health Breeze 2014;2(1):18-23. Persian 2. Balogun FM, Alohan AO, Orimadegun AE. Self-reported sleep pattern, quality, and problems among schooling adolescents in southwestern Nigeria. Sleep Med 2017;30:245-250. doi: 10.1016/j.sleep.2016.11.013. 3. Ebrahimi Monfared M, Sadegh M, Gohari Z. Effect of melatonin and vitamin E on EEG, sleep quality and quality of life of shift-working nurses in Arak Hospitals. J Arak Uni Med Sci 2017;19(12):1-11. Persian 4. Najafi Ghezeljeh T, Sedghian H, Mohaddes Ardabili F, Rezaei Loieh H. Effect of Benson relaxation on fatigue of nurses working in intensive care units. Journal of Client-Centered Nursing Care. 2015;1(4):211-7. doi: 10.15412/J.JCCNC.04010407 5. Babamiri M, Moeini B, Tahmasian H, Barati M, Roshanai G. The study of sleep health education effect on sleep quality among Lorestan Nursing Personnel. Journal of Ergonomics 2017;4(4):8-13. Persian doi: 10.21859/joe-04042 6. Soleimany M, Nasiri Ziba F, Kermani A, Hosseini F. Comparison of sleep quality in two groups of nurses with and without rotation work shift hours. Iran Journal of Nursing 2007;20(49):29-38. Persian 7. Weaver AL, Stutzman SE, Supnet C, Olson DM. Sleep quality, but not quantity, is associated with self-perceived minor error rates among emergency department nurses. Int Emerg Nurs 2016;25:48-52. doi: 10.1016/j.ienj.2015.08.003. 8. Kim JY, Chae CH, Kim YO, Son JS, Kim JH, Kim CW, et al. The relationship between quality of sleep and night shift rotation interval. Ann Occup Environ Med 2015;27:31. doi: 10.1186/s40557-015-0084-x. 9. Akbari V, Hajian A, Mirhashemi MS. Evaluating of sleep quality in shift-work nurses; Iran. J Sleep Disoreders Ther. 2016; 5(1): 1-4. doi: 10.4172/2167-0277.1000225 10. Flo E, Pallesen S, Mageroy N, Moen BE, Gronli J, Hilde Nordhus I, et al. Shift work disorder in nurses--assessment, prevalence and related health problems. PLoS One 2012;7(4):e33981. doi: 10.1371/journal.pone.0033981. 11. Ghods A, Emadi Khalaf M, Mirmohamadkhani M, Sotodehasl N. Comparison of the effects of lavender essential oil and sesame oil on sleep quality of nurses. J Babol Univ Med Sci 2016;18(5):13-9. Persian 12. Ahmadian Chashemi N, Mirrezaie SM, Nouhi S, Khastar H. Evaluating the relationship between sleep disturbances and sexual quality of life among female shift working nurses. Journal of Knowledge & Health 2018;13(1):19-25. Persian 13. Ansari H, Noroozi M, Rezaei F, Barkhordar N. Assessment of sleep pattern among hospitals’ nurses of Zahedan University of Medical Sciences in 2011. J Rafsanjan Univ Med Sci 2015;13(11):1021-32. Persian 14. Zhang L, Sun DM, Li CB, Tao MF. Influencing factors for sleep quality among shift-working nurses: a cross-sectional study in China using 3-factor Pittsburgh sleep quality index. Asian Nurs Res (Korean Soc Nurs Sci) 2016;10(4):277-82. doi: 10.1016/j.anr.2016.09.002. 15. Bahri N, Shamshri M, Moshki M, Mogharab M. The survey of sleep quality and its relationship to mental health of hospital nurses. Iran Occupational Health Journal 2014;11(3):96-104. Persian 16. Rahimpoor F, Saeedi F, Fazli A, Mohammadi S. The relationship of sleep quality and general health in shift working nurses. Occupational Medicine Quarterly Journal 2013;4(4):8-13. Persian 17. Soleimany M, Masoodi R, Sadeghi T, Bahrami N, Ghorban M, Hassanpoor A. General health and its association with sleep quality in two groups of nurses with and without shift working in educational centers of Iran University of Medical Sciences. Journal of Shahrekord Uuniversity of Medical Sciences 2008;10(3):70-5. Persian 18. Farrahi Moghaddam J, Nakhaee N, Sheibani V, Garrusi B, Amirkafi A. Reliability and validity of the Persian version of the Pittsburgh Sleep Quality Index (PSQI-P). Sleep Breath 2012;16(1):79-82. doi: 10.1007/s11325-010-0478-5. 19. Ahmadabadi A, Tavousi SH, Sedaghat A, Sardar Antighechi F, Khadem Rezaiyan M. Sleep quality in nurses of Burn ward compared to other clinical wards. Iran Occupational Health Journal 2018;15(1):26-33. Persian. 20. Demir Zencirci A, Arslan S. Morning-evening type and burnout level as factors influencing sleep quality of shift nurses: a questionnaire study. Croat Med J 2011;52(4):527-37. doi: 10.3325/cmj.2011.52.527. 21. Kasraie E, Rafeie M, Mousavipour S. Relationship between job satisfaction, death anxiety and sleep quality of nurses in the hospitals of Arak University of Medical Sciences. J Arak Uni Med Sci 2016;18(11):63-74. Persian 22. Luz EM, Marqueze E, Moreno C. Job satisfaction and sleep quality in nursing professionals. Sleep Sci 2011;4(2):49-51. 23. Faramarzpour M, Borhani F, Bagheri P. Job satisfaction of nurses from clinical practice in Jiroft University Hospitals. Iran Journal of Nursing 2015;28(97):77-86. Persian 24. Karagozoglu S, Bingol N. Sleep quality and job satisfaction of Turkish nurses. Nurs Outlook 2008;56(6):298-307.e3. doi: 10.1016/j.outlook.2008.03.009. 25. Mirzabeigi G, Salemi S, Sanjari M, Shirazi F, Heidari S, Maleki S. Job Satisfaction among Iranian nurses. Hayat 2009;15(1):49-59. Persian 26. Hojati H, Jalalmanesh S, Fesharaki M. Sleeplessness effect on the general health of hospitals nightshift nurses in Gorgan, Iran. J Gorgan Univ Med Sci 2009;11(3):70-5. Persian 27. Gomez-Garcia T, Ruzafa-Martinez M, Fuentelsaz-Gallego C, Madrid JA, Rol MA, Martinez-Madrid MJ, et al. Nurses' sleep quality, work environment and quality of care in the Spanish national health system: observational study among different shifts. BMJ Open 2016; 6(8):e012073. doi: 10.1136/bmjopen-2016-012073 28. Lajoie P, Aronson KJ, Day A, Tranmer J. A cross-sectional study of shift work, sleep quality and cardiometabolic risk in female hospital employees. BMJ Open 2015;5(3):e007327. doi: 10.1136/bmjopen-2014-007327
1
ORIGINAL_ARTICLE
Determination of Heavy and Mineral Metals in Raw Milk Produced from Livestock in Khatoon-Abad, Shahr-e-Babak, Kerman
Background: The contamination of milk and its products with heavy metals causes toxic and harmful effects on human health. The purpose of this study was to measure the levels of Pb, As, Zn, Cu, Co, Ni, Cr, Mn, and Mg in raw milk produced from livestock around the Khatoon-Abad Copper Smelter in Shahr-e-Babak, Kerman. Methods: Samples of raw milk were collected from 10 nomadic settlements in Khatoon-Abad district, Shahr-e-Babak, in the spring of 2015. After digestion of 10 samples of milk with concentrated nitric acid, a total of 90 experiments were conducted using Atomic Absorption Spectrometry to determine the levels of the above-mentioned heavy metals. Data were analyzed using SPSS 16. Results: The average concentration of Mg, Zn, Cu, and Ni was 15.66±3.06, 1.53± 0.67, 0.47±0.11, and 1.95±0.54 mg/kg, respectively. The levels of Pb, As, Co, Cr, and Mn were not measurable by, in any sample. Conclusion: The amounts of metals measured in the present study, except Ni, were within the ranges of the global standards (FAO/WHO and Codex 2007).
https://jhad.kmu.ac.ir/article_91314_801f2be97720d8b0f361bf55f22862bf.pdf
2019-08-01
152
162
10.22034/8.2.152
Metals
Raw milk
livestock
Shahr-e-Babak
Navid
Hasan Abadi
1
AUTHOR
Mohammad
Danesh Pazhooh
m.daneshpajooh@yahoo.com
2
AUTHOR
Zahra
Mahdavi Meymand
zmahdavim@yahoo.com
3
LEAD_AUTHOR
1. Bonyadian M, Moshtaghi H, Sultani Z. Study on the residual of lead and cadmium in raw and pasteurized milks in Shahrekord area. Scientific-Research Iranian Veterinary Journal 2006; 2(2): 74-81. Persian 2. Ayar A, Sert D, Akin N. The trace metal levels in milk and dairy products consumed in middle Anatolia-Turkey. Environ Monit Assess 2009;152(1-4):1-12. doi: 10.1007/s10661-008-0291-9. 3. Guerrera MP, Volpe SL, Mao JJ. Therapeutic uses of magnesium. Am Fam Physician 2009;80(2):157-62. 4. Alishahi M, Malekirad AA, Mandegary A, Abdollahi M, Mozaffari A, Ansari M. A study on oxidative stress, hematological and biochemical parameters in copper smelter workers. Toxin Reviews. 2017;36(3):236-41. doi: 10.1080/15569543.2017.1278708 5. Temiz H, Soylu A. Heavy metal concentrations in raw milk collected from different regions of Samsun, Turkey. International Journal of Dairy Technology 2012; 65(4): 516-21. https://doi.org/10.1111/j.1471-0307.2012.00846.x 6. Afridi HI, Kazi TG, Kazi N, Baig JA, Jamali MK, Arain MB, et al. Status of essential trace metals in biological samples of diabetic mother and their neonates. Arch Gynecol Obstet 2009;280(3):415-23. doi: 10.1007/s00404-009-0955-x. 7. Taghipour Bazargani T, Salar Amoli J, Ashrafi Helan J, Sasani F, Jamali A. Primary chronic copper poisoning with high fatality in Khatounabad of Shahr-e-babak Kerman province. Iranian Journal of Veterinary Clinical Sciences 2009; 3(1):67-75. Persian 8. Sobhanardakani S, Tizhosh M. Determination of Zn, Pb, Cd and Cu contents in raw milk from Khorram-Abad dairies. Journal of Food Hygiene 2016; 6(22): 43-51. Persian 9. Alibeigi AN, Malakootian M, Mirzahoseini S A. Determine the amount of lead, cadmium, copper, zinc and calcium antagonists of milk and cheese which is produced in Kerman and Sirjan pasteurized milk factory. Journal of Environmental Science and Technology 2016; 18(3):13-23. 10. Kamkar A, Noudoost B, Nabibidhendi GH. Monitoring of Heavy Metals in Raw Milk of Vet Husbandries in Industrial Regions of Isfahan Province of Iran. Asian Journal of Chemistry 2010; 22(10):7927-31. 11. Vahidinia A, Salehi I, Beyginegad H, Pourtaghi J, Nazari Z, Moradi MR. Assessment of Lead and cadmium contamination and influencing factors in raw milk from regions of Hamadan province. Journal of Food Hygiene 2013;3(3 (11)):39-47. Persian 12. Belete T, Hussen A, Maheswara Rao V. Determination of concentrations of selected heavy metals in cow’s milk: Borena zone, Ethiopia. Journal of Health Science 2014;4(5): 105-12. doi:10.5923/j.health.20140405.01 13. Moallem Bandani H, Rajabian M, Alimalayeri F, Mohammadi V, Arefi D, Dahmardeh S, et al. Determination of Lead and Cadmium Level in Cow’s Milk by Spectrophotometry Electrothermal Atomic Absorption in Zabol City. Journal of Ilam University of Medical Sciences 2015;23(3):178-85. Persian 14. Abdulkhaliq A, Swaileh KM., Hussein RM, Matani, M. Levels of metals (Cd, Pb, Cu and Fe) in cow’s milk, dairy products and hen’s eggs from the West Bank, Palestine. International Food Research Journal 2012; 19(3): 1089-94. 15. Einollahi Peer F, Pakzad Toochaei S. Survey of Cu concentration in some grassland plants (Lactuca serriola, Artemisia sieberi and Astragalus bisulcatus) around the Khatoon Abad melting Copper mine in Shahr Babak. Human & Environment 2012;10(22):55-63. Persian 16. Meshref AM, Moselhy WA, Hassan NE. Heavy metals and trace elements levels in milk and milk products. Journal of Food Measurement and Characterization 2014; 8(4):381-8. doi: 10.1007/s11694-014-9203-6 17. Hyseni B, Musaj A. Heavy Metals in the raw Milk in Mitrovica. Albanian J Agric Sci 2014; 495-8. 18. Malakootian M, Mesreghani M, Danesh Pazhoo M. A Survey on Pb, Cr, Ni and Cu concentrations in Tehran consumed black tea: a short report. Journal of Rafsanjan University of Medical Sciences 2011;10(2):138-43. Persian 19. Sobhanardakani S. Human Health Risk Assessment of Cd, Cu, Pb and Zn through Consumption of Raw and Pasteurized Cow's Milk. Iran J Public Health 2018; 47(8): 1172–80. 20. Ghafari HR, Sobhanardakani S. Contamination and Health Risks from Heavy Metals (Cd and Pb) and Trace Elements (Cu and Zn) in Dairy Products. Iran J Health Sci 2017;5(3):49-57. doi: 10.29252/jhs.5.3.49 21. Lutfullah G, Khan AA, Amjad AY, Perveen S. Comparative study of heavy metals in dried and fluid milk in Peshawar by atomic absorption spectrophotometry. Scientific World Journal 2014;2014:715845. doi: 10.1155/2014/715845. 22. Oh HE, Deeth HC. Magnesium in milk. International Dairy Journal 2017;71:89-97. doi.org/10.1016/j.idairyj.2017.03.009 23. Dorostkar R, Asri-Rezaei S, Arden A and Yaghmaei P. Comparison and correlations among macro-mineral concentrations in drinking water and milk of dairy cows in Urmia. Journal of Animal Science Research.2015; 21(1):119-29. Persian 24. Licata P, Trombetta D, Cristani M, Giofre F, Martino D, Calo M, et al. Levels of "toxic" and "essential" metals in samples of bovine milk from various dairy farms in Calabria, Italy. Environ Int 2004;30(1):1-6. doi:10.1016/S0160-4120(03)00139-9 25. Shahbazi Y, Ahmadi F, Fakhari F. Voltammetric determination of Pb, Cd, Zn, Cu and Se in milk and dairy products collected from Iran: An emphasis on permissible limits and risk assessment of exposure to heavy metals. Food Chem 2016;192:1060-7. doi: 10.1016/j.foodchem.2015.07.123. 26. Javed I, Jan I, Muhammad F, Zia ur R, Khan MZ, Aslam B, et al. Heavy metal residues in the milk of cattle and goats during winter season. Bull Environ Contam Toxicol 2009;82(5):616-20. doi: 10.1007/s00128-009-9675-y. 27. Pajohi-Alamoti MR, Mahmoudi R, Sari AA, Valizadeh S, Kiani R. Lead and Cadmium Contamination in Raw Milk and Some of the Dairy Products of Hamadan Province in 2013-2014. Journal of Health 2017;8(1):27-34. Persian 28. Rahimi E. Lead and cadmium concentrations in goat, cow, sheep, and buffalo milks from different regions of Iran. Food Chem 2013;136(2):389-91. doi: 10.1016/j.foodchem.2012.09.016. 29. Yabrir B, Chenouf A, Chenouf NS, Bouzidi A, Gaucheron F, Mati A. Heavy metals in small ruminant’s milk from Algerian area steppe. International Food Research Journal 2016; 23(3): 1012-6. 30. Karim G, Kiaei SM, Rokni N, Razavi Rouhani SM, Motalebi A. Status of heavy metal contamination of foods with animal and aquatic animal origin in Iran. Iranian Journal of Food Science and Technology 2012; 34 (9):25-35. Persian
1
ORIGINAL_ARTICLE
The Relation between Spiritual Well-being and Some Psychological Variables among Martyr and Veteran Children Students in the Universities of Karaj
Background: The results of the studies about spiritual well-being and psychological disorders among the student population are not enough and harmonious. This study examined the relation between spiritual well-being and some psychological disorders (stress, anxiety and depression) among martyr and veteran children students in Karaj Universities (Iran). Methods: This cross-sectional (descriptive-analytical) study was conducted on 160 martyr and veteran children students in the universities of Karaj in 2017, using the multistage sampling method. The data gathering tool was a multi-sectional questionnaire containing demographic data, the depression, anxiety, and stress scale (DASS), as well as the spiritual well-being scale (SWBS). Data were analyzed by SPSS software (version 19) using descriptive statistics, Pearson correlation, independent t-test, one-way ANOVA, and Linear Regression. Results: The mean age of students was 25.1±5.5 years, and 53.5% of them were the child of veterans. The mean of total SWBS and DASS scores were 91.21±16.1 and 16.81±9.1, respectively. Regarding spiritual well-being, students were in the medium range, and the majority of them were normal regarding psychological distress. No significant difference was found in spiritual well-being and depression, anxiety and stress between the two groups of martyr and veteran children students. There was a significant negative correlation between spiritual well-being and depression, anxiety and stress in these students. Conclusion: According to the findings of this study, it is suggested that interventional and cultural programs be designed and implemented to increase the students' spiritual well-being based on appropriate theories.
https://jhad.kmu.ac.ir/article_91315_97b3066b8d604edf434230e5ff128498.pdf
2019-08-01
163
174
10.22034/8.2.163
Spiritual well-being
Veteran
Martyr
Student
Psychological disstres
Tayebeh
Fasihi Harandi
tfasihih@gmail.com
1
AUTHOR
Mounes
Asadi Shavaki
masadi9171@yahoo.com
2
LEAD_AUTHOR
1. Ziapour A, Khatony A, Jafari F, Kianipour N. Prediction of the dimensions of the spiritual well-being of students at Kermanshah University of Medical Sciences, Iran: The Roles of Demographic Variables. J Clin Diagn Res 2017; 11(7): VC05–VC09. doi: 10.7860/JCDR/2017/25114.10314 2. Michaelson V, Brooks F, Jirásek I, Inchley J, Whitehead R, King N, et al. Developmental patterns of adolescent spiritual health in six countries. SSM - Population Health 2016;2:294-303. 3. Weaver MS, Wratchford D. Spirituality in adolescent patients. Ann Palliat Med 2017;6(3):270-8. doi: 10.21037/apm.2017.05.09. 4. Dhama K, Gupta R, Singla A, Patthi B, Ali I, Niraj LK, et al. An insight into spiritual health and coping tactics among dental students; a gain or blight: a cross-sectional study. J Clin Diagn Res 2017;11(8):ZC33-ZC8. doi: 10.7860/JCDR/2017/25358.10371. 5. Jafari E, Dehshiri GR, Eskandari H, Najafi M, Heshmati R, Hoseinifar J. Spiritual well-being and mental health in university students. Procedia - Social and Behavioral Sciences. 2010;5:1477-81. doi.org/10.1016/j.sbspro.2010.07.311 6. Sen S, Pal D, Hazra S, Pandey GK. Spiritual health of students in government Medical Colleges of Kolkata and their coping skills in a crisis situation. Indian J Public Health 2015; 59(3):196-203. doi: 10.4103/0019-557X.164657. 7. Hsiao YC, Chien LY, Wu LY, Chiang CM, Huang SY. Spiritual health, clinical practice stress, depressive tendency and health-promoting behaviours among nursing students. J Adv Nurs 2010;66(7):1612-22. doi: 10.1111/j.1365-2648.2010.05328.x. 8. Hsiao YC, Wu HF, Chien LY, Chiang CM, Hung YH, Peng PH. The differences in spiritual health between non-depressed and depressed nurses. J Clin Nurs 2012;21(11-12):1736-45. doi: 10.1111/j.1365-2702.2011.03962.x. 9. Tabibi M, Ahmari Tehran H, Soltani Arabshahi SK, Heidari S, Abdi Z, Safaeipour R. The Association between spiritual health and academic achievement in medical students of Qom University of Medical Sciences, 2011. Qom Univ Med Sci J 2013;7(2):72-8. Persian 10. Rezaei-Adaryani M, Azadi A, Ahmadi F, Vahedian A. Comparison of depression, anxiety, stress and quality of life in dormitories students of Tarbiat Modares University. Iranian Journal of Nursing Research 2007;2(5):31-8. Persian 11. Asghari F, Saadat S, Atefi Karajvandani S, Janalizadeh Kokaneh S. The relationship between academic self-efficacy and psychological well-being, family cohesion, and spiritual health among students of Kharazmi University. Iranian Journal of Medical Education 2014;14(7):581-93. Persian 12. Zargar F, Foruzandeh E, Omidi A, Mohammadi A. Psychological health and marital adjustment in Iranian employed veterans and veterans receiving disability pension. Iran Red Crescent Med J 2014; 16(7): e10219. doi: 10.5812/ircmj.10219 13. Azadi S, Azad H. The correlation of social support, tolerance and mental health in children of martyrs and war-disabled in Universities of Ilam. Iranian Journal of War and Public Health 2011;3(4):48-58. Persian 14. Dastgheib Z, Gharlipour Z, Ghobadi K, Hoseini F, Vafaee R. Association of between mental health and spiritual health among students in Shiraz University. Advances in Nursing & Midwifery 2015;24(84):53-9. doi: https://doi.org/10.22037/anm.v24i84.7322 15. Mozafarinia F, Amin-Shokravi F, Hydarnia A. Relationship between spiritual health and happiness among students. Iranian Journal of Health Education and Health Promotion 2014;2(2):97-108. Persian 16. Koenig HG. Research on religion, spirituality, and mental health: a review. Can J Psychiatry 2009;54(5):283-91. doi: 10.1177/070674370905400502 17. Bozorg Nezhad H, Hassanzadeh Isfahani Z. A survey on the effect of religious values rates on aggressiveness of shahed high schools’students of martyrs, war injured soldiers and normal students in Tehran city in 2009-2010. Amirkabir 2010;3(6):169-83. Persian 18. Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther 1995;33(3):335-43. doi: 10.1016/0005-7967(94)00075-U · 19. Sobhi-Gharamaleki N, Porzoor P, Aghajani S, Narimani M. Effectiveness of Emotion Regulation Training on Reduction of Anxiety, Stress and Depression Symptoms among University Students. Iran J Health Educ Health Promot 2015;3(1):5-13. Persian 20. Mostafazadeh F, Asadzadeh F. Spiritual health of midwifery students. Journal of Health and Care 2012;14(1):55-60. Persian 21. Talib MA, Abdollahi A. Spirituality Moderates Hopelessness, Depression, and Suicidal Behavior among Malaysian Adolescents. J Relig Health 2017;56(3):784-95. doi: 10.1007/s10943-015-0133-3. 22. Lee Y. The relationship of spiritual well-being and involvement with depression and perceived stress in Korean nursing students. Glob J Health Sci 2014;6(4):169-76. doi: 10.5539/gjhs.v6n4p169. 23. Mahbobi M, Etemadi M, Khorasani E, Ghiasi M. The Relationship between Spiritual Health and Social Anxiety in Chemical Veterans. Journal of Military Medicine 2012;14(3):186-91. Persian 24. Rasic D, Robinson JA, Bolton J, Bienvenu OJ, Sareen J. Longitudinal relationships of religious worship attendance and spirituality with major depression, anxiety disorders, and suicidal ideation and attempts: findings from the Baltimore epidemiologic catchment area study. J Psychiatr Res 2011;45(6):848-54. doi: 10.1016/j.jpsychires.2010.11.014. 25. Cotton S, Kudel I, Roberts YH, Pallerla H, Tsevat J, Succop P, et al. Spiritual well-being and mental health outcomes in adolescents with or without inflammatory bowel disease. J Adolesc Health 2009; 44(5): 485–92. doi: 10.1016/j.jadohealth.2008.09.013 26. Ghahari S, Mehryar AH, Birashk B. Comparitive study of some mental disorders in children of fatherless, martyred’s, veteran’s, and normal (7-12 years old) in chalus city. J Adolesc Health 2009;44(5):485-92. doi: 10.1016/j.jadohealth.2008.09.013. 27. Ahmadi K, Fathi Ashtiania A. comparson of the Psychological Problems in children of martyrs and the late (dead) Personnel of Sepah. Journal of Military Medicine 2004;5(4):277-83. Persian 28. Hakim Javadi M, Gholamali Lavasani M, Haghighatgo M, Zebardast O. The relationship among depression, anxiety, stress and personality in veteran children. Tebe-e-Janbaz 2010;3(9):9-16. Persian 29. Rezazadeh A, Solhi M, Azam K. Determinants of responsibility for health, spiritual health and interpersonal relationship based on theory of planned behavior in high school girl students. Med J Islam Repub Iran 2015; 29: 204.
1
ORIGINAL_ARTICLE
Ergonomic Evaluation of the Manual Material Handling Tasks in the Food Industries of Malard County Using the 3D "Static Strength Prediction Program" and the Key Indicator Method (KIM)
Background: Manual material handling tasks can cause fatigue in the short term and, in the long run, increase physical workload and musculoskeletal injuries in individuals. The The present study was conducted with the aim of ergonomic evaluation of the manual material handling tasks. Methods: This descriptive-analytical and cross-sectional study was carried out on 100 workers in the food industries of Malard County in 2017. The Nordic questionnaire was used to determine the frequency of musculoskeletal disorders, and the 3DSSPP software, as well as the KIM key indicator method, were used for the ergonomic assessment of the manual material handling tasks. Data analysis was performed using SPSS software (version 23). Results: The most frequent musculoskeletal discomfort was in the foot and the ankle (26%). The key indicator method showed that the final risk score in 61% of the tasks ranged from 10 to 24, and in 39% between 25 and 49. Also, the results of 3DSSPP software showed that the compressive and shear forces on the L5 / S1 disc were higher than the permissible limit in 30 and 8 percent of the workers' posture, respectively. Conclusion: Most of the risk factors for manual material handling tasks in this study were thoroughly and accurately evaluated using both the KIM key indicator method and 3DSSPP software. Therefore, with this evaluation, the ergonomic conditions for manual material handling can be improved more precisely.
https://jhad.kmu.ac.ir/article_91316_564288358b24fa1ebbf271c002b3656f.pdf
2019-08-01
175
186
10.22034/8.2.175
Key Indicator Method (KIM)
Manual Material Handling (MMH)
3DSSPP Software
Food Industry
Nordic questionnaire
Sayed Taghi
Mirmohammadi
seyedtaghim@gmail.com
1
AUTHOR
Ali
Gholizadeh Abbasabad
2
LEAD_AUTHOR
Seyed Nourddin
Mousavinasab
snm1337@yahoo.com
3
AUTHOR
Seyed Esmaeil
Hosseininejad
4
AUTHOR
Homira
Alizadeh
5
AUTHOR
1. Lin CJ, Wang SJ, Chen HJ. A field evaluation method for assessing whole body biomechanical joint stress in manual lifting tasks. Ind Health 2006;44(4):604-12. doi.org/10.2486/indhealth.44.604 2. Motamedzade M, Dormohammadi A, Amjad Sardrodi H, Zarei E, Dormohammadi R, Shafii Motlagh M. The role of ergonomic design and application of NIOSH method in improving the safety of load lifting tasks. Arak Medical University Journal 2013; 16(75): 90-100. Persian 3. Asadi N, Choobineh A, Keshavarzi S, Daneshmandi H. Estimation of forces exerted on the lower back in manual load lifting using 3DSSPP software. J Ergon 2015;2(4):25-31. Persian 4. Rossi D, Bertoloni E, Fenaroli M, Marciano F, Alberti M. A multi-criteria ergonomic and performance methodology for evaluating alternatives in “manuable” material handling. International Journal of Industrial Ergonomics 2013;43(4):314-27. doi:10.1016/j.ergon.2013.04.009 5. Gagnon D, Plamondon A, Lariviere C. A biomechanical comparison between expert and novice manual materials handlers using a multi-joint EMG-assisted optimization musculoskeletal model of the lumbar spine. J Biomech 2016;49(13):2938-2945. doi: 10.1016/j.jbiomech.2016.07.009. 6. Faghih MA, Motamedzadeh M, Mohammadi H. Habibi Mohraz M, Bayat H, Arassi M, et al. Manual material handling assessment by snook tables in Hamadan casting workshops. Iran Occupational Health 2013; 10(1):60-9. Persian 7. Greenland KO, Merryweather AS, Bloswick DS. Prediction of peak back compressive forces as a function of lifting speed and compressive forces at lift origin and destination - a pilot study. Saf Health Work 2011; 2(3): 236–42. doi: 10.5491/SHAW.2011.2.3.236 8. Motamedzadeh M, Shafiei Motlagh M, Darvishi E. Ergonomics intervention in manual handling of oxygen cylinders in a steel industry. Journal of Health and Safety at Work 2013;3(1):19-28. Persian 9. Workplace Health and Safety bulletin. Lifting and Handling Loads – Part 1 Reviewing the Issues; 2010. [cited 2018 Nov 6]. Availble from: https://open.alberta.ca/dataset/a0e6170e-631d-4f2a-98a8-5a91348e0506/resource/c1b0d81b-0d79-43a9-9526-d55b35ce8e82/download/2691963-2010-08-lifting-and-handling-loads-part-1.pdf 10. Eskandari D, Nourizadeh N, Saadati H, Mohammadpour S Gholami A, The prevalence of musculoskeletal disorders and occupational risk factors in Kashan SAIPA automobile industry workers by key indicator method (KIM), 1390. Journal of Health and Safety at Work 2012;2(1):27-36. Persian 11. Dormohammadi A, Motamedzade M, Amjad Sardrudi H, Zarei E, Asghari M, Musavi S. Comparative assessment of manual material handling using the two methods of NIOSH lifting equation in a tile manufacturing company MAC and revised. Iran Occupational Health Journal 2013;10(5):71-81. Persian 12. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sorensen F, Andersson G, et al. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 1987;18(3):233-7. doi.org/10.1016/0003-6870(87)90010-X 13. Allahyari T, Hedayati S, Khalkhali H, Ghaderi F. A comparative survey on forces exerted to low back in patient manual handling. J Ergon 2014;2(2):1-8. Persian 14. Keikhamoghaddam AA. Ergonomics Assessment Methods.1th. Tehran: Fanavaran; 2011 Persian 15. The University of Michigan Center for Ergonomics. 3D Static Strength Prediction Program Version 7.01 User's Manual; 2017. [cited 2017 Nov 7] Available from: https://c4e.engin.umich.edu/assets/3DSSPP-Version-7.0.1-Manual.pdf 16. Tayefe Rahimian J, Choobineh A, Dehghan N, Tayefe Rahimian R, Kolahi H, Abbasi M, et al. Ergonomic evaluation of exposure to musculoskeletal disorders risk factors in welders. J Ergon 2014;1(3):18-26. Persian 17. Habibi E, Gharib S, Shakerian M, Hasanzadeh A. Musculoskeletal disorders and ergonomics of workers involved with analyzing the situation manually carrying goods in the dairy industry. Journal of Health System Research 2010;6(4):649- 57. Persian 18. Motamedzade M, Payoon A, Heydari Moghaddam R, Fradmal J, Babamiri M, Heydari P. Physical ergonomic assessment by Key Indicator Index (KIM) and ergonomics intervention in a detergent-producing industry. Journal of Ergonomics 2017;5(1):43-50. Persian 19. Morshedi R, Boazar M, Afshari D, Ahmadi Angali K, Malek zadeh M. Biomechanical analysis of manual lifting of loads and ergonomics solutions for nursing assistants. Journal of Ergonomics 2015;3(1):17-24. Persian 20. Mazlomi A, Keykhmaghdam AA, Tabatabaee S F, Mokhtari Nia H. Ergonomic evaluation of occupational low back pain using digital human modeling (DHM) and proposing its preventive countermeasures in one of car manufacturing industry. Journal of Health and Safety at Work 2012;1(1):31-8. Persian
1
ORIGINAL_ARTICLE
The Knowledge, Self-efficacy, and Self-care Behaviors of Type 2 Diabetic Patients Referred to the Diabetes Clinic of Birjand, Iran
Background: One of the most important ways to control diabetes is through self-care behaviors and increased self-efficacy of patients. This study aimed to determine knowledge, self-care, and self-efficacy in patients with type 2 diabetes in Birjand city. Methods: This descriptive-analytical cross-sectional study was performed on 100 patients. Data were collected using a questionnaire designed in three parts including knowledge questions, self-efficacy questions, and questions about self-care behavior. Data were analyzed by SPSS20 software using descriptive analysis, one way ANOVA, Mann-Whitney, and Kruskal-Wallis test. Results: The mean score of knowledge was 16/47±5/67. Thirty-five percent of the subjects had appropriate, and 19% had inadequate knowledge. The mean scores of self-efficacy and self-care were 138.17±52.59 and 55.15±21.45, respectively. Correlation test results showed a significant relationship between self-efficacy and knowledge (P=0.007), self-care and knowledge (P=0.002), as well as self-efficacy and self-care behaviors (P≤0.001). The highest level of significance was observed between self-efficacy and self-care. Conclusion: In order to improve the health of diabetic patients, attention should be paid to patients' knowledge about diabetes, self-efficacy, and self-care behaviors. It is also necessary to plan educational training in this field and to identify the barriers which prevent self-care.
https://jhad.kmu.ac.ir/article_91317_50a6eea3cfb6175bb518e3506135f91e.pdf
2019-08-01
187
196
10.22034/8.2.187
Knowledge
self-efficacy
Self-care
Type 2 diabetes
Bibi Fatemeh
Baghernezhad Hesari
1
AUTHOR
Reza
Sadeghi
reza.sadeghi@yahoo.com
2
LEAD_AUTHOR
Victoria
Momenabadi
3
AUTHOR
1. Saeid Pour J, Jafari M, Ghazi Asgar M, Dayani Dardashti H, Teymoorzadeh E. Effect of educational program on quality of life in diabetic patients. Journal of Health Administration 2013; 16 (52) :26-36. Persian 2. Sadeghi R, Rezaeian M, Khanjani N, Iranpour A. The applied of health belief model in knowledge, attitude and practice in people referred for diabetes screening program: an educational trial. Journal of Rafsanjan University of Medical Sciences. 2015;13(11):1061-72. Persian 3. Chen L, Magliano DJ, Zimmet PZ. The worldwide epidemiology of type 2 diabetes mellitus--present and future perspectives. Nat Rev Endocrinol 2011;8(4):228-36. doi: 10.1038/nrendo.2011.183. 4. Moosazadeh M, Asemi Z, Lankarani KB, Tabrizi R, Maharlouei N, Naghibzadeh-Tahami A, et al. Family history of diabetes and the risk of gestational diabetes mellitus in Iran: A systematic review and meta-analysis. Diabetes Metab Syndr 2017;11 Suppl 1:S99-S104. doi: 10.1016/j.dsx.2016.12.016. 5. Oshvandi K, Jokar M, Khatiban M, Keyani J, Yousefzadeh MR, Sultanian AR. The effect of self care education based on teach back method on promotion of self care behaviors in type II diabetic patients: a clinical trial study. Iranian Journal of Diabetes and Lipid Disorders 2014;13(2):131-43. Persian 6. van Dinther M, Dochy F, Segers M. Factors affecting students’ self-efficacy in higher education. Educational Research Review 2011;6(2):95-108. doi.org/10.1016/j.edurev.2010.10.003 7. Baljani E, Salimi S, Rahimi J, Amanpour E, Parkhashjou M, Sharifnejad A, Poyan S. The effect of education on promoting self efficacy in patients with cardiovascular disease. J Kermanshah Univ Med Sci 2012;16(3):227-35. Persian 8. Anbari K, Ghanadi K, Kaviani M, Montazeri R. The self care and its related factors in diabetic patients of Khorramabad city. Yafte 2012;14(4):49-57. Persian 9. Orem DE, Taylor SG, Renpenning KM. Nursing: Concepts Of Practice. 6th ed. St. Louis: Mosby; 2001. 10. Shakibazadeh E, Rashidian A, Larijani B, Shojaeezadeh D, Forouzanfar M, Karimi Shahanjarini A. Perceived barriers and self-efficacy: impact on self-care behaviors in adults with type 2 diabetes. Hayat 2010;15(4):69-78. Persian 11. Mazloomi SS, Mody M, Malakimoghadam H, Tavasoli E, Vahdani Nia Z, Baghernezhad Hesary BF. predictors of self-care in type 2 diabetic patients in Birjand and Yazd city. Iranian Journal of Diabetes and Lipid Disorders 2018;17(2):97-104. Persian 12. McCleary-Jones V. Health literacy and its association with diabetes knowledge, self-efficacy and disease self-management among African Americans with diabetes mellitus. ABNF J 2011;22(2):25-32. 13. Haghayegh A, Ghasemi N, Neshatdoost H, Kajbaf M, Khanbani M. Psychometric properties of Diabetes Management Self-Efficacy Scale (DMSES). Iranian Journal of Endocrinology and Metabolism. 2010;12(2):111-95. Persian 14. Landim CA, Zanetti ML, Santos MA, Andrade TA, Teixeira CR. Self-care competence in the case of Brazilian patients with diabetes mellitus in a multiprofessional educational programme. J Clin Nurs 2011;20(23-24):3394-403. doi: 10.1111/j.1365-2702.2011.03883.x. 15. Asmamaw A, Asres G, Negese D, Fekadu A, Assefa G. Knowledge and attitude about diabetes mellitus and its associated factors among people in debre tabor town, northwest ethiopia: cross sectional study. Science Journal of Public Health 2015;3(2):199-209. 16. Mohammadi S, Karim NA, Abd Talib R, Amani R. Knowledge, attitude and practices on diabetes among type 2 diabetic patients in Iran: a cross-sectional study. Science Journal of Public Health 2015;3(4):520-4. 17. Morowatisharifabad M, Rouhani Tonekaboni N. Perceived self-efficacy in self-care behaviors among diabetic patients referring to Yazd Diabetes Research Center. J Birjand Univ Med Sci 2008;15(4):91-9. Persian 18. Shahraki Vahed A, Asadi Bidmeshki E, Shahraki H. Determine Self-Care Assessment with educational needs diabetic patients. J Diabetes Nurs 2014;2(2):29-41. 19. Reisi M, Mostafavi F, Javadzade SH, Mahaki B, Sharifirad G. Assessment of some predicting factors of self-efficacy in patients with type 2 diabetes. Iranian Journal of Endocrinology and Metabolism 2015;17(1):44-52. Persian 20. Naghibi SA, Asghari M, Rostami F. Investigation the effect of education on self-care promotion in type 2 diabetic patients in Noor health centers in 2015. J Health Res Commun 2015;1(2):22-8. Persian 21. Nam S, Chesla C, Stotts NA, Kroon L, Janson SL. Barriers to diabetes management: patient and provider factors. Diabetes Res Clin Pract 2011;93(1):1-9. doi: 10.1016/j.diabres.2011.02.002. 22. Ayele K, Tesfa B, Abebe L, Tilahun T, Girma E. Self care behavior among patients with diabetes in Harari, Eastern Ethiopia: the health belief model perspective. PLoS One 2012;7(4):e35515. doi: 10.1371/journal.pone.0035515.
1
ORIGINAL_ARTICLE
Patient Safety Culture; the Strengths and Weaknesses: A Case study of Imam Reza Hospital of Kermanshah
Background: Nowadays, strengthening Patient safety culture has received widespread attention by healthcare organizations. The first step in improving the safety of the patient is to assess the safety culture of the hospital. Therefore, the aim of this study was to investigate the strengths and weaknesses of Patient safety culture from the nurses' point of view. Methods: In a cross-sectional study, a convenient sample, including 214 nurses, was selected among nurses in Imam Reza university hospital, Kermanshah, 2016. Data were collected by a hospital survey on patient safety culture (HSOPSC) in 12 dimensions via self-reporting method and were analyzed with Mann-Whitney U and Kruskal–Wallis tests using SPSS 19 software. Results: The dimension of "organizational learning - continuous improvement" with 75.86% positive score was the strength of the Patient safety culture. While the dimensions of feedback to errors (45.64%), the frequency of reporting events (41.70%), staffing issues (27.33%), the openness of communication channels (24.63%), and the non-punitive response to errors (15.59%) were the weaknesses of the Patient safety culture. The overall Patient safety culture score was at an undesirable level (48.93%) and needed to improve. The Patient safety culture score was not significantly correlated with individual variables of nurses (P >0.05). Conclusion: Based on the findings, the Patient safety culture, particularly in the dimensions of "communication openness", "non-punitive response to errors", and "staffing issues" was in an undesirable level and required managerial interventions to improve. Improving Patient safety culture can prepare the basis for providing safe and high-quality care.
https://jhad.kmu.ac.ir/article_91318_79a2c133c2f445b5caaaa9cd607e5315.pdf
2019-08-01
197
209
10.22034/8.2.197
patient safety
Safety Culture
Nurses
University Hospital
Marziyeh
Jafarpanah
mr.jafarpanah@gmail.com
1
AUTHOR
Behrooz
Rezaei
beh.rezaei@gmail.com
2
LEAD_AUTHOR
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