ORIGINAL_ARTICLE
Improvement of Two Iranian Petrochemical Complexes’ Wastewater Biodegradability from 2015 to 2017 Using H2O2/ Fe2+ and Optimization of the Conditions by RSM
Background:Petrochemical wastewaters are a critical environmental challenge in industrial zones due to the amount of pollutants they release into the environment. Therefore, finding a solution for treatment of the wastewater has become the priority of the researchers. The main objective of this research is improvement of petrochemical wastewaters’ biodegradability using Fenton oxidation process and defining the effective parameters on the efficiency of this technique.Methods: In this research, the capability of Fenton method for promoting the biodegradability of hardly-decomposable wastewaters of petrochemical complexes was studied. The actual wastewater of Karoon and Maroon petrochemical complexes were used in this research. Design of the experiments and also the analysis of the experimental results were carried-out using Response Surface Methodology (RSM) with four variables and four parameters. A rector with sizes of 60, 20 and 20 cm was designed and built. The ranges of CODin, H2O2 concentration, Fe2+ dosage, and TDS variation were 1000-2500 mg/L, 1000-4000 mg/L, 500-3000 mg/L, and 4500-11500 mg/L, respectively, and the average ratio of BOD/COD in the inlet stream was 0.09.Results:The range of BOD/COD in the outlet stream was 0.19-0.37 which decreased with the COD growth. The trend of biodegradability promotion with increase in H2O2 concentration and Fe2+ dosage was ascending, while the effect of TDS on biodegradability was not noticeable.Conclusion:The optimum conditions for achieving maximum efficiency of the reactor were COD=1375 mg/L, [H2O2] = 2509.27 mg/L, [Fe2+] = 1753.49 mg/L and TDS = 8622.9 mg/L and the BOD/COD ratio was 0.32.
https://jhsss.sums.ac.ir/article_44661_f6dafac2e745b57882c0ea2cb0550fef.pdf
2017-10-01
144
152
Waste water
Hydrogen peroxide
Biodegradation
Environmental
Mahmood
Derakhshan
1
LEAD_AUTHOR
Mojtaba
Fazeli
m_fazeli@sbu.ac.ir
2
AUTHOR
Rajeshwari K, Balakrishnan M, Kansal A, Lata K, Kishore V. State-of-the-art of anaerobic digestion technology for industrial wastewater treatment. Renewable and Sustainable Energy Reviews. 2000;4(2):135-56.
1
Guieysse B, Norvill ZN. Sequential chemicalâbiological processes for the treatment of industrial wastewaters: review of recent progresses and critical assessment. Journal of hazardous materials. 2014;267:142-52.
2
Li C, Zhong S, Duan L, Song Y. Evaluation of petrochemical wastewater treatment technologies in Liaoning Province of China. Procedia Environmental Sciences. 2011;10:2798-802.
3
Khaing T-H, Li J, Li Y, Wai N, Wong F-s. Feasibility study on petrochemical wastewater treatment and reuse using a novel submerged membrane distillation bioreactor. Separation and Purification Technology. 2010;74(1):138-43.
4
Vafajoo L, Ghanaat F, Ghalebi A. An Investigation of a Petrochemical Wastewater Treatment Utilizing GAC: A Study of Adsorption Kinetics. APCBEE procedia. 2014;10:131-5.
5
Mota A, Albuquerque L, Beltrame LC, Chiavone-Filho O, Machulek Jr A, Nascimento C. Advanced oxidation processes and their application in the petroleum industry: a review. Brazilian Journal of Petroleum and Gas. 2009;2(3).
6
Mansour D, Fourcade F, Huguet S, Soutrel I, Bellakhal N, Dachraoui M, Hauchard D, Amrane A. Improvement of the activated sludge treatment by its combination with electro Fenton for the mineralization of sulfamethazine. International Biodeterioration & Biodegradation. 2014;88:29-36.
7
Liu K, Roddick FA, Fan L. Impact of salinity and pH on the UVC/H2O2 treatment of reverse osmosis concentrate produced from municipal wastewater reclamation. Water research. 2012;46(10):3229-39.
8
Dixit A, Tirpude AJ, Mungray A, Chakraborty M. Degradation of 2, 4 DCP by sequential biologicalâadvanced oxidation process using UASB and UV/TiO2/H2O2. Desalination. 2011;272(1-3):265-9.
9
Oller I, Malato S, Sanchez-Perez J. Combination of advanced oxidation processes and biological treatments for wastewater decontaminationâa review. Science of the total environment. 2011;409(20):4141-66.
10
Babuponnusami A, Muthukumar K. A review on Fenton and improvements to the Fenton process for wastewater treatment. Journal of Environmental Chemical Engineering. 2014;2(1):557-72.
11
Primo O, Rueda A, Rivero MJ, Ortiz I. An Integrated Process, Fenton Reactionâ Ultrafiltration, for the Treatment of Landfill Leachate: Pilot Plant Operation and Analysis. Industrial & Engineering Chemistry Research. 2008;47(3):946-52.
12
Bianco B, De Michelis I, Vegliò F. Fenton treatment of complex industrial wastewater: optimization of process conditions by surface response method. Journal of hazardous materials. 2011;186(2-3):1733-8.
13
Covinich LG, Bengoechea DI, Fenoglio RJ, Area MC. Advanced oxidation processes for wastewater treatment in the pulp and paper industry: a review. American Journal of Environmental Engineering. 2014;4(3):56-70.
14
Li J, Luan Z, Yu L, Ji Z. Organics, sulfates and ammonia removal from acrylic fiber manufacturing wastewater using a combined Fenton-UASB (2 phase)-SBR system. Bioresource technology. 2011;102(22):10319-26.
15
Arslan-Alaton I, Tureli G, Olmez-Hanci T. Treatment of azo dye production wastewaters using Photo-Fenton-like advanced oxidation processes: optimization by response surface methodology. Journal of photochemistry and Photobiology A: Chemistry. 2009;202(2-3):142-53.
16
Ferreira SC, Bruns R, Ferreira H, Matos G, David J, Brandao G, da Silva EP, Portugal L, Dos Reis P, Souza A. Box-Behnken design: an alternative for the optimization of analytical methods. Analytica chimica acta. 2007;597(2):179-86.
17
Nezhdbahadori F, Abdoli MA, Baghdadi M, Ghazban F. A comparative study on the efficiency of polar and non-polar solvents in oil sludge recovery using solvent extraction. Environmental monitoring and assessment. 2018;190(7):389.
18
Khuri AI, Mukhopadhyay S. Response surface methodology. Wiley Interdisciplinary Reviews: Computational Statistics. 2010;2(2):128-49.
19
Birjandi N, Younesi H, Bahramifar N. Treatment of wastewater effluents from paper-recycling plants by coagulation process and optimization of treatment conditions with response surface methodology. Applied Water Science. 2016;6(4):339-48.
20
Derakhshan M, Fazeli M. Improved biodegradability of hardly-decomposable wastewaters from petrochemical industry through photo-Fenton method and determination of optimum operational conditions by response surface methodology. Journal of Biological Engineering. 2018;12(1):10.
21
Tekin H, Bilkay O, Ataberk SS, Balta TH, Ceribasi IH, Sanin FD, Dilek FB, Yetis U. Use of Fenton oxidation to improve the biodegradability of a pharmaceutical wastewater. Journal of hazardous materials. 2006;136(2):258-65.
22
Ziagova M, Dimitriadis G, Aslanidou D, Papaioannou X, Tzannetaki EL, Liakopoulou-Kyriakides M. Comparative study of Cd (II) and Cr (VI) biosorption on Staphylococcus xylosus and Pseudomonas sp. in single and binary mixtures. Bioresource technology. 2007;98(15):2859-65.
23
Collins LM, Dziak JJ, Li R. Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychological methods. 2009;14(3):202.
24
ORIGINAL_ARTICLE
The Role of Family Physician in Health Literacy of Rural Population in Farsan District
Background: Health literacy is a stronger predictor of health as compared to variables such as age, income, employment status, education level and race. In this regard, the World Health Organization has reported health literacy as one of the greatest determinants of health. The main purpose of this study was to investigate the role of family physician in the health literacy of rural population in Farsan district.Methods: This is a descriptive-analytic study conducted in 2017 in Farsan. The sample size was equal to 450. 205 males and 245 females were selected as the sample, using stratified random sampling. A questionnaire was used to conduct the study (response rate 85.3). The validity and reliability of the questionnaire were confirmed. Data were analyzed using descriptive indexes such as percentage, mean and standard deviation, along with Spearman correlation coefficient and regression analysis.Results: The results of the study showed that 62.2% were female and 37.8% were male. 41.5% were in the age group of 20-29 years old and 7.3% were above 50 years old. Most participants in the study had a bachelor's degree (26.8%) with no history of disease (87.8%). There was a direct and significant relationship between family physician and health literacy (r = 0.355, p = 0.01). Emotional/informational support had a positive and significant effect on the increase in health literacy by 0.427 at a significant level of 0.05.Conclusion: Social support family physician of a community plays a major role in improving the health literacy of the people. Strengthening the communication and human skills of physicians and forming a sincere relationship with people's trust and confidence in the success of health programs; in particular, increasing the level of health literacy plays a crucial role.
https://jhsss.sums.ac.ir/article_44662_9052bcb575ed58e3e0c2a57401e6b608.pdf
2017-10-01
153
157
Family physician
Health Literacy
social support
Zargham
Heydari Gojani
1
MSc student, Department of Health Services Management, North Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Khalil
Alimohammadzadeh
2
LEAD_AUTHOR
Seyed Mojtaba
Hosseini
3
AUTHOR
Nayeb
Fadaei Dehcheshmeh
4
AUTHOR
Helitzer D, Hollis C, Cotner J, Oestreicher N. Health literacy demands of written health information materials: an assessment of cervical cancer prevention materials. Cancer control. 2009;16(1):70-8.
1
Khosravi A, Ahmadzadeh K. Investigating health literacy Level of patients referred to Bushehr hospitals and recognizing its effective factors. South Medical. 2016;18(6):1245-53.
2
Saranjit S, Lennard L. Health literacy: being able to make the most of health: National Consumer Council; 2004.
3
Kountz DS. Strategies for improving low health literacy. Postgraduate medicine. 2009;121(5):171-7.
4
REISI M, MOSTAFAVI F, HASANZADEH A, SHARIFIRAD GR. The relationship between health literacy, health status and healthy behaviors among elderly in Isfahan. 2011.
5
Banihashemi S-AT, Amirkhani MA. Health literacy and the influencing factors: a study in five provinces of Iran. 2007.
6
MONTAZERI A, Tavousi M, RAKHSHANI F, Azin SA, Jahangiri K, Ebadi M, et al. Health Literacy for Iranian Adults (HELIA): development and psychometric properties. 2014.
7
Ghanbari S, Majlessi F, Ghaffari M, Mahmoodi Majdabadi M. Evaluation of health literacy of pregnant women in urban health centers of Shahid Beheshti Medical University. Daneshvar. 2012;19(97):1-12.
8
Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. health. 2004;11:12.
9
Lee Y-M, Yu HY, You M-A, Son Y-J. Impact of health literacy on medication adherence in older people with chronic diseases. Collegian. 2017;24(1):11-8.
10
Hoseinpour N. A survey on the relationship between health literacy and lifestyle in rural women living under the supervision of the family physician at Izeh Health Center: University of Rehabilitation Sciences and Social Welfare; 1392.
11
Asadi S. Family physician Assessment implementation based on the model (SWOT) in Iran. The Journal of Medical Education And Development. 2014;6(2):72-7.
12
Rowan MS, Hogg W, Martin C, Vilis E. Family physicians' reactions to performance assessment feedback. Canadian Family Physician. 2006;52(12):1570-1.
13
Tabatabaei M. The Need for Policies to Improve People's Literacy. the website of ta salamati. 1393.
14
Walker J, Pepa C, Gerard PS. Assessing the health literacy levels of patients using selected hospital services. Clinical Nurse Specialist. 2010;24(1):31-7.
15
Sørensen K, Van den Broucke S, Fullam J, Doyle G, Pelikan J, Slonska Z, et al. Health literacy and public health: a systematic review and integration of definitions and models. BMC public health. 2012;12(1):80.
16
Cho YI, Lee S-YD, Arozullah AM, Crittenden KS. Effects of health literacy on health status and health service utilization amongst the elderly. Social science & medicine. 2008;66(8):1809-16.
17
Erez R, Rabin S, Shenkman L, Kitai E. A family physician in an Ultraorthodox Jewish village. Journal of Religion and Health. 1999;38(1):67-72.
18
Khodabakhshi-Koolaee A, Bahari M, Falsafinejad MR, Shahdadi H. The Relationship of Quality of Life With Health Literacy in Male Patient With Type 2 Diabetes : A Cross-sectional Study in HARSIN City, 2015. Journal of Diabetes 1395;4(4):10-20.
19
Orlow P. North Carolina Institute of medicine. Just water did the doctor order? Addressing low health literacy in North Carolina. NCIOM web site. 2013.
20
ORIGINAL_ARTICLE
Human Reliability Assessment in Critical Operations of Blast Furnace Steering in an Iron Melting Industry
AbstractBackground: Human errors play a crucial role in the incidence of industrial accidents. Hence, human reliability assessment (HRA) is essential as the most significant element of the system. The present study was conducted aiming at assessing human reliability in steering a blast furnace in an iron melting industry.Methods: The study comprised all HRA stages, namely data collection (through questionnaire), determination of the scope of the study (using interviews and questionnaires), task analysis (through hierarchical task analysis (HTA), determination and identification of errors (SHERPA ), screening, error quantification (HEART), and analysis and effect assessment of human error reduction.Results: A number of 169 errors were identified among 140 Bottom-Level Tasks obtained from HTA diagrams. Among the 38 error producing factors, 22 were identified as effective factors, among which low workforce spirit (19%), excess team members (15.7%), operator inexperience (12.4%), and the poor quality of data transmission through instructions and through person-to-person interaction (11.75%) accounted for the highest effect on the whole operation.Discussion: Human errors in operations for steering blast furnace occur due to a variety of factors, often rooted in various management levels, instructions for steering operations and repair, operators-panels interaction levels, and some factors affecting performance. As a single approach, the techniques used in this study yielded fruitful results. These techniques enjoy high validity though there were signs of technical immaturity, which led to failure in providing consistent control methods.Conclusion: Despite the technical weaknesses in the HRA techniques, currently the HRA is a useful method to enhance the reliability of crucial operations, such as the steering operation of blast furnace.
https://jhsss.sums.ac.ir/article_44663_9692cd448eb7d39a37c0e5c16289ac11.pdf
2017-10-01
158
163
Human
reliability
Industry
Task analysis
Error
Reza
Kazemi
reza_kazemi2007@yahoo.com
1
LEAD_AUTHOR
Hematoola
Bahredar
2
AUTHOR
Sajad
Mousavi
3
AUTHOR
Amin
Norozi
4
AUTHOR
Lyons M, Adams S, Woloshynowych M, Vincent C. Human reliability analysis in healthcare: A review of techniques. International Journal of Risk and Safety in Medicine; 2004, 16: 223-237
1
Hollnagel E. Human Reliability Assessment in Context. Nuclear Engineering and Technology; April 2005, 37 (2)
2
Jo yong-do, Park Kyo-shik. Dynamic Management of Human Error to reduce total risk. Journal of loss prevention in process industries; 2003, 16: 313-321
3
Reason J. Human error. New York: Cambridge University Press, 1990
4
Stanton NA. Hierarchical task analysis: developments, applications and extensions. Applied Ergonomics; 2006, 37: 55â79.
5
Mills S. Contextualizing design: Aspects of using usability context analysis and hierarchical task analysis for software design. Behavior & Information Technology; 2007: 1 â 8, First article
6
Doytchev. D E, Szwillus. G. Combining task analysis and fault tree analysis for accident and incident analysis: A case study from Bulgaria. Accident Analysis and Prevention; 2009, 41( 6): Pages 1172-1179
7
Kirwan B. The validation of three Human Reliability Quantification techniquesâ THERP, HEART and JHEDI: Part 1â technique descriptions and validation issues. Applied Ergonomics; 1996, 27(6): 359 â373
8
Shepherd. .A, HTA as a framework for task analysis. Ergonomics; 1998, 41(11): 1537â 1552
9
Ainsworth L K, Kirwan B. A guide to task analysis, New York; Taylor and Francis; 1992
10
Kirwan B. a guide to practical human reliability assessment. New York. Taylor and Francis. 1994
11
Kirwan B. Human error identification techniques for risk assessment of high risk systems â Part 1: review and evaluation of techniques. Applied Ergonomics; 1998, 29 (3): 157-177.
12
Kirwan B, Scannali S. Robinson L. A case study of a human reliability assessment for an existing nuclear power plant. Applied ergonomics;1996, 27(5): 289-302
13
Williams JC. A data-based method for assessing and reducing human error to improve operational performance. 4th IEEE conference on Human factors in Nuclear Power plants; Monterey, California, 6-9 june, 1988: 436-450
14
Rhonda L, Neville S, David H. Applying hierarchical task analysis to medication administration errors. Applied Ergonomics; 2006, 37, 669â679
15
ORIGINAL_ARTICLE
Evaluation of a Dispersion Modeling Software Package (Case Study: Traffic Pollutants in Shiraz Iran)
AbstractBackground: The AERMOD is one of the EPA preferred and recommended air quality dispersion models. The AERMOD is a steady state dispersion model for estimating the concentration of pollutants in urban, rural, flat and elevated, ground level and elevated receptors from different volumes, areas or point sources.Methods: In this study, in order to evaluate the accuracy of software results, the AERMOD was used for estimating the air pollution concentrations at different locations in Emam Hossein Square and Darvazeh Kazeroun Square of Shiraz City, where there are two DOE air quality monitoring stations. The modeling was performed based on hourly annual metrological data of Shiraz airport. The variable air pollutants’ emission rates were used based on different traffic loads at different hours at night and during the day.Results: The modeling results are compared with the values measured at DOE air quality monitoring stations. The results showed that for the maximum daily concentration of pollutants, the AERMOD estimated values were about 5 and 20 percent higher than the values measured for SO2 and CO; also, the estimated values were two times higher than the measured values for NOx and PM10. Furthermore for the average daily concentration of pollutants, the AERMOD estimated values were about 17, 41, 42 and 38 percent lower than the values measured for NOx, CO, SO2 and PM10, respectively.Conclusions: The quality of ambient air in Shiraz City seems to be good since, except for the PM10, the concentrations of CO, NOx and SO2 were in the range of clean air standard. The maximum daily concentrations of PM10, CO, NOx and SO2 were reported as 0.497 mg/m3, 4246 mg/m3, 0.206 mg/m3and 0.037 mg/m3, respectively.
https://jhsss.sums.ac.ir/article_44664_be4da212d930f351935ea3ed8e4efec9.pdf
2017-10-01
164
168
Traffic pollution
air pollutants
quality
ambient air
Elham
Asrari
e_asrari@pnu.ac.ir
1
Payame Noor University
LEAD_AUTHOR
Masoud
Faraji
2
Payame Noor University
AUTHOR
-Seinfeld JH, Pandis S. Atmospheric chemistry and physics. 2nd ed. Hoboken (NJ): John Wiley. 2006.
1
-Kwa S M., Salim .Numerical Simulation of Dispersion in an Urban Street Canyon: Comparison between Steady and Fluctuating Boundary Conditions, Engineering Letters.2015; 23(1): 1-10.
2
- Sharma P. Khare M. Modeling of vehicular exhausts - a review. Transportation Research .2001: 179-198.
3
- Sotiris Vardoulakis, Bernard E.A. Fisher, Koulis Pericleous, Norbert Gonzalez-Flesca. Modeling air quality in street canyons: a review. Atmospheric environment. 2003; 37 (2):155-182.
4
- Shamsipour, Ali Akbar and Ghoran Amini. Simulation of CO distribution pattern with the ENVI-met model in the Freedom Road-Tehran Pars. Geography and environmental hazards. 2014; 7:85-103.
5
- Omduth Coceal. Flow structure and near-field dispersion in arrays of building-like Obstacles. Journal of Wind Engineering and Industrial Aerodynamics. 2014; 125: 52â68.
6
- Zhang Hao. Study on the influence of the street side buildings on the pollutant dispersion in the street canyon. Procedia Engineering. 2015; 121: 37 â 44.
7
- Bin Zou, F Benjamin, Zhan J, Gaines W, Yongnian Z. Performance of AERMOD at Different Time Scales. Journal of Simulation Modeling Practice and Theory. 2010; 18 (1): 612-623.
8
- Stein A F, V Isakov, J Godowitch, R R Draxler. A hybrid modeling approach to resolve pollutant concentrations in an urban area. Atmospheric Environment. 2007; 41: 9410â9426.
9
-EPA. Average Annual Emissions and Fuel Consumption for Passenger Cars and Light Trucks. EPA420-F-00-013 April 2000.
10
ORIGINAL_ARTICLE
An investigation of the relationship between body mass index at the beginning of pregnancy and pregnancy and delivery outcomes
AbstractBackground: Proper weight gain is essential for the mother’s health and pregnancy. On the other hand, insufficient weight gain is directly related to a decrease in the growth and preterm birth. The present study aimed to determine the relationship between the mother’s Body Mass Index (BMI) and pregnancy and delivery outcomes in mothers referred to Gerash health centers in 2014.Methods: This retrospective, cohort study was conducted on the data from 554 pregnant mothers referred to Gerash health centers to receive pregnancy healthcare from April to November 2014.Results: The mothers’ mean age was 25.9±5.4 years and their mean weight gain was 11.6±4.0 kg. In addition, 62.6% and 37.5% of the babies were born through natural delivery and cesarean section, respectively. About 9% of the children were pre-term, while 91% were term and post-term. Besides, 5.4% and 5.1% of the mothers got gestational diabetes and anemia, respectively. The results of logistic regression analysis showed positive relationships between the type of delivery and BMI (OR: 1.10(95% CI: 1.05-1.14)), history of cesarean section (OR: 0.02(95% CI: 0.01-0.07)), and mother’s age (OR: 1.06(95% CI: 1.03-1.10)) (p<0.05). Moreover, a positive relationship was found between the gestational weight gain and infant’s birth weight (g) (OR: 18.42(95% CI: 8.02 – 28.82)) (p<0.05).Conclusion: According to the finding, it seems that it would be necessary to plan educational and counseling programs before the pregnancy for the mothers. Therefore, the role of health authorities is more important than ever in promoting the general knowledge to reach the proper weight before and during pregnancy.
https://jhsss.sums.ac.ir/article_44665_b14d0418c3f796fc2a46298645221e04.pdf
2017-10-01
169
175
Body mass index
weight gain
Pregnancy outcomes
Fatemeh
Kianpour
1
LEAD_AUTHOR
Haleh
Ghaem
ghaemhaleh@gmail.com
2
AUTHOR
Zahra
Amiri
3
AUTHOR
Dadras E, Ahmadi Z, Daneshkajuri M, Hosainiagha F. The relationship BMI before pregnancy and birth outcomes in nulliparous women. Iran Journal of Nursing. 2010;22(62):56-64, [impersion].
1
Esmaeili HA, Farehat A, Mirzaee NajmAbadi k, Dadgar S, Khojasteh Kalayemi M. The relationship between BMI at the beginning of pregnancy and birth weight with some pregnancy outcomes. Journal of Obstetrics Gynecology and Infertility 2014;16(85):1-10, [impersion].
2
Bakhsabdeh M, Hamedpour A, Torkestani F, Torabi P, Aabedini M. A Comprehensive guide for the nutrition of pregnant and breast-feeder mother. Ministry of Health and Medical Education, Department of Health office to improve community nutrition. In: Bakhsabdeh M, editor. A Comprehensive guide for the nutrition of pregnant and breast-feeder mother Ministry of Health and Medical Education, Department of Health office to improve community nutrition. 1. Qom: Persistent thoughts; 2013. p. 14-9, [impersion].
3
sharifzadeh G, Moodi M, Naseh N. Investigating overweightness in pregnant mother in health centers of Birjand. Journal of Birjand University of Medical Sciences. 2009;16(3):21-7, [impersion].
4
Nemat Allah zadeh M, Zeaei S, kazemnejad A. Relationship between body mass index and preterm delivery before and during pregnancy. Journal of zahedan Medical Science Research 2010;12(5):89-94, [impersion].
5
Solamanizadeh L, Solamani F, Abbaszadeh A, Nahid N. The relationship between BMI with delivery outcomes in Mahdieh maternity of Bam. Payesh Journal. 2006;5(4):243-8, [impersion].
6
Goshtasebi A, Moghaddam Banaei L, Alizadeh Roodbari M, Bacoei S. The Association Between Preconception Body Mass Index and Pregnancy Weight gain on Birth Weight. Journal of Mazandaran University of Medical Sciences. 2011;21(84):81-5, [impersion].
7
Nemati A, Refahi S, Berak M, Jaafari M, Ettehad H. the relation between some of BMI indicators with the newborn weight birth in Ardebil Alavi hospital. Journal of Ardebil University of medical science. 2007;7(1):84-9, [impersion].
8
Moghaddami Tabrizi N, Aminikhah B, Davari Tanha F. The effect of maternal body mass index on spontaneous versus induced preterm birth: a prospective study. Tehran university medical journal 2009;67(3):221-5, [impersion].
9
Choi SK, Park IY, Jong-ChulShin. the effects of pre â pregnancy body mass index and gestational weight gain on perinatal outcomes in Korean Women: a retrospective cohort study. Reproductive Biology and Endocrinology 2011;9:6.
10
Vizeshfar F, Zahra S. The Relationship between body mass index and pregnancy outcomes in health clinic for Lar in 2008. Journal of Obstetrics Gynecology and Infertility 2011;14(4):41-6, [impersion].
11
Garshsbi E, Salbi Z, Faghihzadeh S, Naghizadeh MM. The effect of increased BMI during pregnancy on pregnancy fate. Scientific Journal of Shahed University. 2008;16(77):33-40, [impersion].
12
Jared M.Baeten B, Elizabeth A.Bukusi M, ChB M, Lambe M. Pregnancy Complications and Outcomes Among Overweight and Obese Nulliparous Women. American Journal of public health 2001;91(3):436-40.
13
Yazdanpanahi Z, Foruhari S, Babaei A, Hajifoghaha M. The relationship pre-pregnancy body mass index and weight gain with pregnancy results. Journal of Esfahan Medical School. 2014;32(293):1093-102, [impersion].
14
Doherty D, Magann E, Francis J, Morrison J, Newnham J. Pre-pregnancy body mass index and pregnancy outcomes. Int J Gynaecol Obstet. 2006;95(3):242-7.
15
Panahandeh Z. Gestational weight gain and fetal birth weight in rural regions of Rasht/Iran. Iranian Journal of Pediatrics. 2010;19(1):18-24.
16
Yekta Z, Ayatollahi H, Porali R, Farzin A. The effect of preâpregnancy body mass index and gestational weight gain on pregnancy outcomes in urban care settings in UrmiaâIran. BMC pregnancy childbirth. 2006;6:15.
17
Zohoor A. Relation between weight gain during first pregnancy and neonate birth weight. Journal of Reproduction & Infertility. 2002;3(3):33-9.
18
ORIGINAL_ARTICLE
Correlation between Mental Health and Premenstrual Syndrome in Students of Shiraz University of Medical Sciences
Background: Premenstrual syndrome is considered as one of the most common psychiatric disorders that greatly disrupts women's life.Objective: The aim of this study was to investigate the correlation between mental health and premenstrual syndrome among female students of Shiraz University of Medical Sciences.Materials and Methods: This study was conducted in 2016 on a total of 168 students residing in dormitories of Shiraz University of Medical Sciences who were selected by block randomization method. Data collection tools included demographic data, PSST & GHQ questionnaire. Data were conducted throughSPSS software, version 22, using descriptive tests and Spearman correlation coefficient.Results: Spearman correlation coefficient showed a significant correlation (p<0.001) between premenstrual syndrome score, mental health and all its dimensions except for social interactions (P = 0.525). Moreover, anxiety and sleep disorders with a frequency of 51.2% were the most common mental disorder among the students.Conclusion: Our study showed that there was a correlation between premenstrual syndrome score and mental health in girls. Therefore, necessary measures should be taken by counseling centers in schools and universities to improve the mental health of people with premenstrual syndrome who have a higher risk of psychological and physical disorders.
https://jhsss.sums.ac.ir/article_44666_94bcbabf03f8a828819f9367d5d467e5.pdf
2017-10-01
176
179
Mental health
Premenstrual Syndrome
Students
Marzieh
Akbarzadeh
akbarzadehmarzieh@yahoo.com
1
LEAD_AUTHOR
Naval
Heydari
navalheydari@gmail.com
2
Department of Community Health Nursing, Fatemeh (P.B.U.H) Faculty of Nursing and Midwifery, Namazi square, Shiraz, Iran
AUTHOR
Malihe
Abootalebi
maliheabootalebi@gmail.com
3
AUTHOR
Fatemeh
Ghodrati
fatima.arta2@gmail.com
4
AUTHOR
Ryu A, Kim T-H. Premenstrual syndrome: A mini review. Maturitas. 2015;82(4):436-40.
1
Steiner M, Macdougall M, Brown E. The premenstrual symptoms screening tool (PSST) for clinicians. Archives of Womenâs Mental Health. 2003;6(3):203-9.
2
Rizk DE, Mosallam M, Alyan S, Nagelkerke N. Prevalence and impact of premenstrual syndrome in adolescent schoolgirls in the United Arab Emirates. Acta obstetricia et gynecologica Scandinavica. 2006;85(5):589-98. PubMed PMID: 16752239. Epub 2006/06/06. eng.
3
Hussein Shehadeh J, HamdanâMansour AM. Prevalence and association of premenstrual syndrome and premenstrual dysphoric disorder with academic performance among female university students. Perspectives in Psychiatric Care. 2017.
4
Dennerstein L, Lehert P, Bäckström TC, Heinemann K. Premenstrual symptomsâseverity, duration and typology: an international cross-sectional study. Menopause international. 2009;15(3):120-6.
5
Steiner M, Macdougall M, Brown E. The premenstrual symptoms screening tool (PSST) for clinicians. Archives of Womenâs Mental Health. 2003;6(3):203-9.
6
Hariri FZ, Moghaddam-Banaem L, Bazi SS, Malehi AS, Montazeri A. The Iranian version of the Premenstrual Symptoms Screening Tool (PSST): a validation study. Archives of women's mental health. 2013;16(6):531-7.
7
Noorbala A, Mohammad K. The validation of general health questionnaire-28 as a psychiatric screening tool. Hakim Research Journal. 2009;11(4):47-53.
8
Dirkovand Moghaddam A, Kikhavandi S, Sayemiri K. The Worldwide Prevalence of Premenstrual Syndrome: A Systematic Review and Meta-Analysis Study. The Iranian journal of obstetrics, gynecology and infertility. 2013;16(65):8-17. Persian.
9
Sadr SS, Ardestani SMS, Razjouyan K, Daneshvari M, Zahed G. Premenstrual syndrome and comorbid depression among medical students in the internship stage: a descriptive study. Iranian journal of psychiatry and behavioral sciences. 2014;8(4):74.
10
Slavin SJ, Schindler DL, Chibnall JT. Medical student mental health 3.0: improving student wellness through curricular changes. Academic Medicine. 2014;89(4):573.
11
Hope V, Henderson M. Medical student depression, anxiety and distress outside North America: a systematic review. Medical education. 2014;48(10):963-79.
12
de Sousa Furtado E, de Oliveira Falcone EM, Clark C. Avaliação do estresse e das habilidades sociais na experiência acadêmica de estudantes de medicina de uma universidade do Rio de Janeiro. Interação em Psicologia. 2003;7(2).
13
Panahi F, Faramarzi M. The Effects of Mindfulness-Based Cognitive Therapy on Depression and Anxiety in Women with Premenstrual Syndrome. Depression Research and Treatment. 2016;2016.
14
Strine TW, Chapman DP, Ahluwalia IB. Menstrual-related problems and psychological distress among women in the United States. Journal of Women's Health. 2005;14(4):316-23.
15
Schatz DB, Hsiao M-C, Liu C-Y. Premenstrual dysphoric disorder in East Asia: a review of the literature. The International Journal of Psychiatry in Medicine. 2012;43(4):365-80.
16
Forrester-Knauss C, Stutz EZ, Weiss C, Tschudin S. The interrelation between premenstrual syndrome and major depression: results from a population-based sample. BMC Public Health. 2011;11(1):795.
17
Freeman EW. Treatment of depression associated with the menstrual cycle: premenstrual dysphoria, postpartum depression, and the perimenopause. Dialogues in clinical neuroscience. 2002;4:177-91.
18
Jafarnejad F, Shakeri Z, Najaf najafi M, Salehi fadardi J. Survey of the relationship between stress and catching premenstural syndrome. IJOGI. 2013;16(76):11-8. Persian.
19
Takeda T, Imoto Y, Nagasawa H, Muroya M, Shiina M. Premenstrual syndrome and premenstrual dysphoric disorder in Japanese collegiate athletes. Journal of pediatric and adolescent gynecology. 2015;28(4):215-8.
20
ORIGINAL_ARTICLE
Application of Seemingly Unrelated Regression (SUR) in Determination of Risk Factors of Fatigue and General Health among the Employees of Petrochemical Companies
AbstractBackground: In this cross-sectional study, 501 employees of petrochemical companies were selected by simple sampling method.Methods: Data were collected using Swedish Occupational Fatigue Inventory (SOFI-20), Occupational Fatigue/Exhaustion Recovery (OFER-15), and General Health Questionnaire (GHQ-28). To identify the factors associated with fatigue and general health, we used ordinary least squares regression (OLS) and SUR and the results were compared. The analysis showed that satisfaction, mental disorder and sleepiness were the important factors associated with fatigue among these workers. However, the SUR estimator provided higher precision of the estimates than the OLS estimator as the parameters obtained by SUR are characterized by lower standard errors. As the models are intended to predict the fatigue risk factors, we particularly focused on the SUR method because it assesses the precision of the model in predicting fatigue determination. SUR estimators performed consistently better than the OLS estimators since SUR takes the correlation between error terms into account. Results: The findings showed that the study population were young and almost had a low job tenure. The correlation test showed that there was a significant relationship between fatigue and general health with job satisfaction (p=0.05), sleep disorder (p=0.01) and mental disorder (p=0.001). Finally, the analysis showed that fatigue as the result of work was affected by some organizational and individual risk factors, among which "general health status" in general fatigue and "job satisfaction and mental disorders" in mental, physical, shift work, chronic and acute fatigue had the most effect.Conclusion: The prevalence of fatigue among the study population was assessed high. Thus, elimination and reduction of casual risk factors are necessary to reduce the prevalence of fatigue at work environmental.
https://jhsss.sums.ac.ir/article_44667_936fa4cff31e426a69a690cc7eba5ffa.pdf
2017-10-01
180
187
Employee
fatigue
SUR (seemingly unrelated regression)
OLS (ordinary least square)
Shahla
Heidari
1
LEAD_AUTHOR
Sareh
Keshavarz
2
AUTHOR
Alireza
Mirahmadizadeh
mirahmadia@sums.ac.ir
3
AUTHOR
References
1
Hossienzadeh,K.,A.(2012).Validity and Reliability of the Farsi version of the Individual Strength Questionnaire Checklist in the Iranian Working Population. Armaghane-danesh 18(4):295-304.
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Skinner, N. & Dorrian, J. (February 2012). âA work-life perspective on sleep and fatigue â itâs not just the shift workers who are at riskâ. Paper presented at the 26th AIRAANZ Conference Re-organising Workâ, Gold Coast, Queensland.
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Akerstedt, T., A. Knutssonb, et al.(2004).Mental fatigue , work and sleep . Journal of psychosomatic Reaserch.
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Ahsberg E. Perceived fatigue related to work. University of Stockholm, Department of Psychology, National Institute for Working Life Department for Work and Health, ISBN 91â7153â830â5.
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Javadpour , F.(2013).Investigation of Fatigue dimensions and some aspects of their health impacts on petrochemical employees , Thesis for the degree of master of sciences. Shiraz university of Medical Sciences School of Health.
11
Franssen, P.M. L., U. Bultmann, et al.(2003). The association between chronic diseases and fatigue in the working population .Journal of Psychosomatic Research.
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Ahsberg, E. and F. Gamberale(1998). Perceived fatigue during physical work : an experimental evaluation of a fatigue inventort . International Journal of Industrial Ergonomics 21:117-131.
19
Javadpour F, Keshavarzi S.(2015). Validity and reliability of the Swedish Occupational Fatigue Inventory (SOFI-20) among Iranian working population.Journal of Ergonomics 3(1):50-57.
20
Winwood, p. c., A. H. Winefield, et al.(2005).Development and Validation of a Scale to Measure Work-Related Fatigue and Recovery: The Occupational Fatigue Exhaustion/Recovery Scale (OFER). JOEM 45(6):594-606.
21
Javadpour F, Keshavarzi S.(2014). Validity and reliability of Occupational Fatigue/Exhaustion Recovery scale (OFER-15) among Iranian working population. Iran Occupational Health 11(6):75-82.
22
Mohammad Beigi, a., n. Mohammad Salehi, et al.(2009). Depression symptoms prevalence , general health status and its risk factors in dormitory students of Arak universities 2008. Arak Medical UniversityJournal 12(3):116-123.
23
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24
Keshavarzi, S. Ayatollahi, M, et al. (2013). Quality of Life Child bearing age women and associated factors: an application of seemingly unrelated regression models. Springer Science 22:1255-1263.
25
Timm, N.H. (2002). Applied multivariate analysis. New York: Springer.
26
Tian, Y., Sun, Y. (2014). Some Overall Properties Of Seemingly Unrelated Regression Models. Asta Adv Stat Anal. 98:103-120.
27
Zellner, A. (1963). Estimators for seemingly Unrelated Regressions : Some Exact Finite Sample Results, J. Am. Assoc., 58,977-992;Corrigendum(1972),67,255.
28
Beasley, T. M. (2008). Seemingly unrelated regression (SUR) models as a solution to path analytic models with correlated errors. Multiple Linear Regression Viewpoints, 34(1), 1â7.
29
Vasco A. P. Cadavez. and Arne. Henningsen. The Use of Seemingly Unrelated Regression (SUR) to Predict the Carcass Composition of Lambs. Institute of Food and Resource Economics University of Copenhagen.
30
ORIGINAL_ARTICLE
A survey of the relationship between the mental workload and cognitive failure in taxi drivers, 2017
Abstract Background: The mental workload and cognitive failures are among the factors affecting the human behavior, performance and efficiency, which are both effective on the human error and accidents of the drivers. This study was conducted to examine the relationship between cognitive failure and mental workload of taxi drivers in Shiraz.Methods: This descriptive-analytical and cross-sectional study was conducted on 200 taxi drivers in Shiraz in 2017. In order to measure the mental workload and cognitive failure, NASA-TLX mental workload questionnaire and CFQ cognitive failure questionnaire were used, respectively. Finally, statistical analysis was performed using SPSS version 21. Pearson correlation, T-test and one-way ANOVA tests were used to analyze the data statistically.Results: The taxi drivers' mental workload was reported relatively high in this study and the results showed that a significant relationship was found between mental and temporal workload and nominal memory error of drivers at 5% error level (p <0.05). Also, a significant relationship was observed between temporal pressure and performance and memory and attention, respectively (p<0.05). In general, a significant relationship was observed between total cognitive failure and total mental workload (p<0.05). Also, demographic factors as age had a significant effect on both mental workload and cognitive failure (p<0.05).Conclusion: The results of this study showed a significant relationship between the mental workload and cognitive failure, so that with increasing the mental workload, cognitive failure of taxi drivers also increased and the probability of the human error and consequently driving accidents increased. Therefore, reducing the mental workload with providing ergonomic solutions can greatly prevent the human error in driving as a major contributor to many accidents.
https://jhsss.sums.ac.ir/article_44668_920b239654966ec783569033d6f405f4.pdf
2017-10-01
188
192
Cognitive failure
mental
Workload
Reza
Kazemi
reza_kazemi2007@yahoo.com
1
LEAD_AUTHOR
Safora
Karimpour
2
AUTHOR
Maryam
Shahriyari
3
AUTHOR
Seyed Noredin
Hossaini
4
AUTHOR
Peden M, Scurfield R, Sleet D, et al. World report on road traffic injury prevention. World Health Organization Geneva; 2004.
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16