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Aslanian, Roghayeh
- Frequency of Gestational Diabetes Mellitus in Pregnant Women Referred to Alavi Hospital in Ardabil, 2017
Abstract Views :309 |
PDF Views:90
Authors
Affiliations
1 Department of Internal Medicine, Ardabil University of Medical Science, Ardabil, IR
2 Department of Obstetrics and Gynecology, Ardabil University of Medical Science, Ardabil, IR
3 Ghaem Hospital, Ardabil, IR
1 Department of Internal Medicine, Ardabil University of Medical Science, Ardabil, IR
2 Department of Obstetrics and Gynecology, Ardabil University of Medical Science, Ardabil, IR
3 Ghaem Hospital, Ardabil, IR
Source
Journal of Health Science Research, Vol 3, No 1 (2018), Pagination: 11-15Abstract
Background: Gestational Diabetes Mellitus (GDM) is the most common complications of pregnancy that spreading throughout the world and in the past 20 years has increased in range from 10% to 100% among racial groups. GDM cause to maternal and fetal side effects, and in the absence of treatment, it can cause macrosomia, respiratory distress, hypoglycemia, hypocalcemia, and hyperbilirubinemia in newborns. Purpose: The aim of this study was to investigate the frequency of GDM in pregnant women in Ardabil, Iran. Method: This retrospective cross-sectional study was conducted on 4485 pregnant women referred to Alavi hospital in Ardabil from April 2017 to December 2017. Data were extracted from hospital records and analyzed by statistical methods in SPSS version 16. Results: Of all Pregnant women, 256 (5.7%) had GDM. 91.7% of women with GDM had cesarean delivery which of them 75.5% were from urban and 73.2% were in the first parity. The mean age of women with cesarean delivery was 26.96 ± 6.38 years and normal delivery was 27.33 ± 6.44 years. Of women with GDM, 53% had primary education and most of them had no history of abortion and family history of diabetes. Conclusion:Considering the increased frequency of GDM in this study in compare with previous studies, the higher rate of cesarean section among young women with diabetes, doing more studies are essential in future.Keywords
Ardabil, Gestational Diabetes Mellitus, Risk Factor, Screening.Full Text
References
- Sreekanthan K, Belicita A, Rajendran K, Vijayakumar A. Prevalence of GDM in a medical college in South India : a pilot study. IJCP. 2014 Sep; 25(4): 342-47.
- Diabetes IAO, Panel PSGC. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010 Mar; 33(3):676-82. Crossref PMid:20190296 PMCid:PMC2827530
- HAPO Study Cooperative Research Group, Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, et. al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008 May 8; 2008(358):1991-2002.
- The global challenge of diabetes. Elsevier; 2008. Available from: http://www.thelancet.com/journals/lancet/article/ PIIS0140673608607333/fulltext
- Chasan-Taber L. Gestational diabetes: is it preventable?. American Journal of Lifestyle Medicine. 2012 Feb 15; 6(5):395-406. Crossref
- Jafari-Shobeiri M, Ghojazadeh M, Azami-Aghdash S, NaghaviBehzad M, Piri R, Pourali-Akbar Y, et al. Prevalence and risk factors of gestational diabetes in Iran: a systematic review and meta-analysis. Iran J Public Health. 2015 Aug; 44(8):1036-44.
- King H. Epidemiology of glucose intolerance and gestational diabetes in women of childbearing age. Diabetes Care. 1998 Aug; 21(2): B9-13. PMid:9704221
- Xiong X, Saunders L, Wang F, Demianczuk N. Gestational diabetes mellitus: prevalence, risk factors, maternal and infant outcomes. Int J Gynaecol Obstet. 2001 Dec; 75(3):221-8. Crossref
- Kühl C. Insulin secretion and insulin resistance in pregnancy and GDM: implications for diagnosis and management. Diabetes. 1991 Dec; 40 (Suppl 2):18-24. Crossref PMid:1748255
- Keshavarz M, Cheung NW, Babaee GR, Moghadam HK, Ajami ME, Shariati M. Gestational diabetes in Iran: incidence, risk factors and pregnancy outcomes. Diabetes Res Clin Pract. 2005 Sep; 69(3):279-86. Crossref PMid:16098925
- Plante LA. Small size at birth and later diabetic pregnancy. Obstet Gynecol. 1998 Nov; 92(5):781-4. Crossref
- Lu GC, Luchesse A, Chapman V, Cliver S, Rouse DJ. Screening for gestational diabetes mellitus in the subsequent pregnancy: Is it worthwhile?. Am J Obstet Gynecol. 2002 Oct; 187(4):918-21. Crossref PMid:12388977
- Kapoor NI, Sankaran S, Hyer S, Shehata H. Diabetes in pregnancy: a review of current evidence. Curr Opin Obstet Gynecol. 2007 Dec; 19(6):586-90. Crossref PMid:18007138
- Turok DK, Ratcliffe SD, Baxley EG. Management of Gestational Diabetes Mellitus. Am Fam Physician. 2003 Nov 1; 68(9):1767-72. PMid:14620596
- Ferrara A. Increasing prevalence of gestational diabetes mellitus: a public health perspective. Diabetes Care. 2007 Jul; 30(Suppl 2):S141-6. Crossref PMid:17596462
- Rahimi G. The prevalence of gestational diabetes in pregnant women referring to Ardabil health centers, 2003. Journal of Ardabil University of Medical Sciences. 2004 Oct; 4(3):32-9.
- Sayehmiri F, Bakhtiyari S, Darvishi P, Sayehmiri K. Prevalence of gestational diabetes mellitus in Iran: a systematic review and meta-analysis study. The Iranian Journal of Obstetrics, Gynecology and Infertility. 2013 Sep; 15(40):16-23.
- Bouzari Z, Yazdani S, Abedi Samakosh M, Mohammadnetaj M, Emamimeybodi S. Prevalence of gestational diabetes and its risk factors in pregnant women referred to health centers of Babol, Iran, from September 2010 to March 2012. The Iranian Journal of Obstetrics, Gynecology and Infertility. 2013 Sep; 16(43):6-13.
- Naylor C, Sermer M, Chen E, Sykora K. Cesarean delivery in relation to birth weight and gestational glucose tolerance: Pathophysiology or practice style? JAMA. 1996 Apr; 275(15):1165-70. Crossref PMid:8609683
- Catalano PM, McIntyre HD, Cruickshank JK, McCance DR, Dyer AR, Metzger BE, et al. The Hyperglycemia and Adverse Pregnancy Outcome Study. Associations of GDM and obesity with pregnancy outcomes. Diabetes Care. 2012 Apr; 35(4):780-6. Crossref PMid:22357187 PMCid:PMC3308300
- Nikoo KM, Ahranjani AS, Larijani B. A review on the prevalence of gestational diabetes mellitus (GDM) in different regions of Iran. Journal of Diabetes and Metabolic Disorders. 2009; 8:7.
- Larijani B, Azizi F, Bastanhagh M, Pajouhi M, Hoseinnezadeh A. The prevalence of gestational diabetes mellitus in young women. Iranian Journal of Endocrinology and metabolism. 2002 Dec; 4(1):23-7.
- 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 & Metabolic Syndrome: Clinical Research & Reviews. 2017; 11:S99-S104. Crossref PMid:28017634
- Ferrara A, Hedderson MM, Albright CL, Ehrlich SF, Quesenberry CP, Peng T, et al. A pregnancy and postpartum lifestyle intervention in women with gestational diabetes mellitus reduces diabetes risk factors: a feasibility randomized control trial. Diabetes care. 2011 Jul; 34(7):1519-25. Crossref PMid:21540430 PMCid:PMC3120183
- MacNeill S, Dodds L, Hamilton DC, Armson BA, VandenHof M. Rates and risk factors for recurrence of gestational diabetes. Diabetes care. 2001 Apr; 24(4):659-62. Crossref PMid:11315827
- Karajibani M, Montazerifar F, Abdolahi S. The Relationship between Some Risk Factors and Gestational Diabetes Mellitus in Pregnant Women Referred to Health and Treatment Centers in Zahedan, Iran, in 2012. IJHS 2015 Feb; 3(1): 44-51.
- Methylphenidate Consumption Behaviors among Students of Ardabil University of Medical Sciences, 2017
Abstract Views :333 |
PDF Views:84
Authors
Affiliations
1 Department of Internal Medicine, Ardabil University of Medical Science, Ardabil, IR
2 Department of Neurology, Ardabil University of Medical Science, Ardabil, IR
3 Ardabil University of Medical Science, Ardabil, IR
1 Department of Internal Medicine, Ardabil University of Medical Science, Ardabil, IR
2 Department of Neurology, Ardabil University of Medical Science, Ardabil, IR
3 Ardabil University of Medical Science, Ardabil, IR
Source
Journal of Health Science Research, Vol 3, No 2 (2018), Pagination: 16-22Abstract
Introduction: Methylphenidate is a derivative of the amphetamines group, which is prescribed to improve efficacy, reduce sleep, develop euphoria and treat depression. It also serves as an enhancement of memory and facilitates learning by students during examinations. The aim of this study was to investigate the Methylphenidate consumption behaviors among students of Ardabil University of Medical Sciences, 2017.
Methods: This is a cross-sectional descriptive study that has been done on 150 university students who selected randomly from all medical fields. Data collected by a questionnaire included demographic data and questions about behavior and motivation of Methylphenidate abuse. Collected data analyzed by statistical methods in SPSS version 16.
Results: Of all students, 52.6% were female and rest of them was male with mean age of 22.2±6 years. Of all students, 38 (25.3%) had Methylphenidate abuse. Most and least abuse of Methylphenidate was among medicine and hygiene students with 30.4% and 5%, respectively. In terms of Methylphenidate consumers, impairment in thinking and memory with 81.6% and increasing the self confidence with 63.2% was the least and most motivation for Methylphenidate abuse. 65.8% of them, known the consumers as people with high self confidence and 39.5% known them inexpert people.
Conclusion: Results showed that Use of non-prescriptive stimulant drugs among students specially males were prevalent and is considered as a high-risk behavior that should be monitored and controlled in the future with the necessary planning.
Keywords
Ardabil, Methylphenidate Abuse, Consumption Behaviors, Students.Full Text
References
- McCabe SE, Knight JR, Teter CJ, Wechsler H. Nonmedical use of prescription stimulants among US college students: Prevalence and correlates from a national survey. Addiction. 2005; 100(1):96–106. https://doi.org/10.1111/ j.1360-0443.2005.00944.x PMid:15598197
- Morton WA, Stockton GG. Methylphenidate abuse and psychiatric side effects. Primary Care Companion to the Journal of Clinical Psychiatry. 2000; 2(5):159. https://doi.org/10.4088/PCC.v02n0502
- Challman TD, Lipsky JJ, editors. Methylphenidate: Its pharmacology and uses. Mayo Clinic Proceedings; Elsevier. 2000. PMid:10907387
- White BP, Becker-Blease KA, Grace-Bishop K. Stimulant medication use, misuse, and abuse in an undergraduate and graduate student sample. Journal of American College Health. 2006; 54(5):261–8. https://doi.org/10.3200/ JACH.54.5.261-268 PMid:16539218
- Shillington AM, Reed MB, Lange JE, Clapp JD, Henry S. College undergraduate Methylphenidate abusers in southwestern California: Protective and risk factors. Journal of Drug Issues. 2006; 36(4):999–1014. https://doi.org/10.1177/002204260603600411
- Kickbusch I, Nutbeam D. Health promotion glossary. Geneva: World Health Organization; 1998. p. 14.
- Grunbaum JA, Kann L, Kinchen S, Ross J, Hawkins J, Lowry R, et al. Youth risk behavior surveillance- United States, 2003. Morbidity and Mortality Weekly Report Surveillance Summaries (Washington, DC: 2002). 2004; 53(2):1–96.
- de Guzman MR, Bosch KR. G07-1715 High-risk behaviors among Youth; 2007.
- Gore FM, Bloem PJ, Patton GC, Ferguson J, Joseph V, Coffey C, et al. Global burden of disease in young people aged 10–24 years: A systematic analysis. The Lancet. 2011; 377(9783):2093–102. https://doi.org/10.1016/S0140-6736(11)60512-6
- Tonglet M, Phillips PS, Read AD. Using the theory of planned behaviour to investigate the determinants of recycling behaviour: A case study from Brixworth, UK. Resources, Conservation and Recycling. 2004; 41(3):191– 214. https://doi.org/10.1016/j.resconrec.2003.11.001
- Ataee M, Hosseini N, Ahmadi Jouybari T, Jalilian F, Mirzaei Alavijeh M, Eslami AA, Aghaei A. Application of prototype/willingness model in describes Methylphenidate abuse behavior among college students. J Health Syst Res. 2014; 10(2):335–344.
- Fallah G, Moudi S, Hamidia A, Bijani A. Stimulant use in medical students and residents requires more careful attention. Caspian Journal of Internal Medicine. 2018; 9(1):87. PMid:29387325 PMCid:PMC5771366
- Jalilian F, Karami-Matin B, Mirzaei Alavijeh M, Ataee M, Mahboubi M, Motlagh F, et al. Prevalence and factor related to methylphenidate abuse among Iranian medical college student: An Application of Theory of Planned Behavior. Terapevticheskii Arkhiv. 2013; 85(4s):22–7.
- Low KG, Gendaszek A. Illicit use of psychostimulants among college students: A preliminary study. Psychology, Health and Medicine. 2002; 7(3):283–7. https://doi.org/10.1080/13548500220139386
- Habibzadeh A, Alizadeh M, Malek A, Maghbooli L, Shoja MM, Ghabili K. Illicit methylphenidate use among Iranian medical students: Prevalence and knowledge. Drug Design, Development and Therapy. 2011; 5:71. PMid:21340040 PMCid:PMC3038997
- Brooks FM, Magnusson J, Spencer N, Morgan A. Adolescent multiple risk behaviour: an asset approach to the role of family, school and community. Journal of Public Health. 2012; 34(suppl_1):i48–i56.
- Primack BA, Sidani J, Agarwal AA, Shadel WG, Donny EC, Eissenberg TE. Prevalence of and associations with waterpipe tobacco smoking among US university students. Annals of behavioral medicine. 2008; 36(1):81–6. https:// doi.org/10.1007/s12160-008-9047-6 PMid:18719977 PMCid:PMC3004534
- Reed MB, Wang R, Shillington AM, Clapp JD, Lange JE. The relationship between alcohol use and cigarette smoking in a sample of undergraduate college students. Addictive Behaviors. 2007; 32(3):449–64. https://doi.org/10.1016/j.addbeh.2006.05.016 PMid:16844313
- Terry-McElrath YM, O’Malley PM, Johnston LD. Energy drinks, soft drinks, and substance use among US secondary school students. Journal of Addiction Medicine. 2014; 8(1):6. https://doi.org/10.1097/01.ADM.0000435322.07020.53 PMid:24481080 PMCid:PMC3910223
- Safiri S, Rahimi-Movaghar A, Yunesian M, SadeghiBazargani H, Shamsipour M, Mansournia MA, et al.
- Subgrouping of risky behaviors among Iranian college students: A latent class analysis. Neuropsychiatric Disease and Treatment. 2016; 12:1809. https://doi.org/10.2147/ NDT.S107349 PMid:27524898 PMCid:PMC4966499
- Teter CJ, McCabe SE, Cranford JA, Boyd CJ, Guthrie SK. Prevalence and motives for illicit use of prescription stimulants in an undergraduate student sample. Journal of American College Health. 2005; 53(6):253–62. https://doi.org/10.3200/JACH.53.6.253-262 PMid:15900989
- Kollins SH, MacDonald EK, Rush CR. Assessing the abuse potential of methylphenidate in nonhuman and human subjects: a review. Pharmacology Biochemistry and Behavior. 2001; 68(3):611–27. https://doi.org/10.1016/ S0091-3057(01)00464-6
- Weiner A. Emerging drugs of abuse in Connecticut. Connecticut Medicine. 2000; 64(1):19–23. PMid:10697361 24. Roehrs T, Papineau K, Rosenthal L, Roth T. Sleepiness and the reinforcing and subjective effects of methylphenidate. Experimental and Clinical Psychopharmacology. 1999; 7(2):145. https://doi.org/10.1037/1064-1297.7.2.145 PMid:10340154
- Johnston LD, O’Malley PM. Why do the nation’s students use drugs and alcohol? Self-reported reasons from nine national surveys. Journal of Drug Issues. 1986; 16(1):29–66. https://doi.org/10.1177/002204268601600103
- Gibbons FX, Gerrard M. Predicting young adults’ health risk behavior. Journal of Personality and Social Psychology. 1995; 69(3):505. https://doi.org/10.1037/00223514.69.3.505
- Lettow B, Vermunt JK, Vries H, Burdorf A, Empelen P. Clustering of drinker prototype characteristics: What characterizes the typical drinker? British Journal of Psychology. 2013; 104(3):382–99. https://doi.org/10.1111/ bjop.12000 PMid:23848388
- Norman P, Armitage CJ, Quigley C. The theory of planned behavior and binge drinking: Assessing the impact of binge drinker prototypes. Addictive Behaviors. 2007; 32(9):1753–68. https://doi.org/10.1016/j.addbeh.2006.12.009 PMid:17270356
- Rivis A, Sheeran P, Armitage CJ. Augmenting the theory of planned behaviour with the prototype/willingness model: Predictive validity of actor versus abstainer prototypes for adolescents’ health‐protective and health‐risk intentions. British Journal of Health Psychology. 2006; 11(3):483–500.
- https://doi.org/10.1348/135910705X70327 PMid:16870057
- Gibbons FX, Gerrard M, Ouellette JA, Burzette R. Cognitive antecedents to adolescent health risk: Discriminating between behavioral intention and behavioral willingness. Psychology and Health. 1998; 13(2):319–39. https://doi.org/10.1080/08870449808406754
- Hukkelberg SS, Dykstra JL. Using the prototype/ willingness model to predict smoking behaviour among Norwegian adolescents. Addictive Behaviors. 2009; 34(3):270–6. https://doi.org/10.1016/j.addbeh.2008.10.024 PMid:19095361
- Ajzen I. The theory of planned behaviour. Organizational Behaviour and Human Decision Processes. 1991; 50:179– 211. https://doi.org/10.1016/0749-5978(91)90020-T
- Judson R, Langdon SW. Illicit use of prescription stimulants among college students: prescription status, motives, theory of planned behaviour, knowledge and self-diagnostic tendencies. Psychology, Health and Medicine. 2009; 14(1):97–104. https://doi.org/10.1080/13548500802126723 PMid:19085316