International Journal of Endocrinology and Metabolism

Published by: Kowsar

Factors Associated with Pre-Hypertension Among Tehranian Adults: A Novel Application of Structural Equation Models

Reza Taherian 1 , 2 , Sara Jalali-Farahani 1 , 2 , Mehrdad Karimi 1 , 3 , Parisa Amiri 1 , * , Emad Maghsoudi 1 , Parvin Mirmiran 4 , * and Fereidoun Azizi 5
Authors Information
1 Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
3 Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, IR Iran
4 Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
5 Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
Corresponding Authors:
Article information
  • International Journal of Endocrinology and Metabolism: July 2018, 16 (3); e59706
  • Published Online: June 29, 2018
  • Article Type: Research Article
  • Received: August 16, 2017
  • Revised: April 8, 2018
  • Accepted: April 9, 2018
  • DOI: 10.5812/ijem.59706

To Cite: Taherian R, Jalali-Farahani S, Karimi M, Amiri P, Maghsoudi E, et al. Factors Associated with Pre-Hypertension Among Tehranian Adults: A Novel Application of Structural Equation Models, Int J Endocrinol Metab. 2018 ;16(3):e59706. doi: 10.5812/ijem.59706.

Abstract
Copyright © 2018, International Journal of Endocrinology and Metabolism. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited
1. Background
2. Methods
3. Results
4. Discussion
Acknowledgements
References
  • 1. He J, Whelton PK. Epidemiology and prevention of hypertension. Med Clinic North America. 1997;81(5):1077-97.
  • 2. Guilbert J. The world health report 2002-reducing risks, promoting healthy life. Educ Health (Abingdon). 2003;16(2):230.
  • 3. Collaboration PS. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360(9349):1903-13.
  • 4. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JJ, et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003;289(19):2560-72. doi: 10.1001/jama.289.19.2560. [PubMed: 12748199].
  • 5. Mainous A3, Everett CJ, Liszka H, King DE, Egan BM. Prehypertension and mortality in a nationally representative cohort. Am J Cardiol. 2004;94(12):1496-500. doi: 10.1016/j.amjcard.2004.08.026. [PubMed: 15589003].
  • 6. Bozorgmanesh M, Ghoreishian H, Mohebi R, Azizi F, Hadaegh F. Sex-specific predictors of the prehypertension-to-hypertension progression: community-based cohort of a West-Asian population. Eur J Prev Cardiol. 2014;21(8):956-63. doi: 10.1177/2047487313481757. [PubMed: 23478742].
  • 7. Esteghamati A, Abbasi M, Alikhani S, Gouya MM, Delavari A, Shishehbor MH, et al. Prevalence, awareness, treatment, and risk factors associated with hypertension in the Iranian population: the national survey of risk factors for noncommunicable diseases of Iran. Am J Hypertens. 2008;21(6):620-6. doi: 10.1038/ajh.2008.154. [PubMed: 18451810].
  • 8. Nuwaha F, Musinguzi G. Pre-hypertension in Uganda: a cross-sectional study. BMC Cardiovasc Disord. 2013;13:101. doi: 10.1186/1471-2261-13-101. [PubMed: 24228945]. [PubMed Central: PMC3833647].
  • 9. Najafipour H, Nasri HR, Afshari M, Moazenzadeh M, Shokoohi M, Foroud A, et al. Hypertension: diagnosis, control status and its predictors in general population aged between 15 and 75 years: a community-based study in southeastern Iran. Int J Public Health. 2014;59(6):999-1009. doi: 10.1007/s00038-014-0602-6. [PubMed: 25227395].
  • 10. Boden-Albala B, Roberts ET, Hopkins S, Allen J, Boyer BB. Predictors of risk and protection for hypertension in Yup'ik people from Southwest Alaska. Ethn Dis. 2012;23(4):484-91.
  • 11. Janghorbani M, Amini M, Gouya MM, Delavari A, Alikhani S, Mahdavi A. Nationwide survey of prevalence and risk factors of prehypertension and hypertension in Iranian adults. J Hypertens. 2008;26(3):419-26. doi: 10.1097/HJH.0b013e3282f2d34d. [PubMed: 18300850].
  • 12. Grotto I, Grossman E, Huerta M, Sharabi Y. Prevalence of prehypertension and associated cardiovascular risk profiles among young Israeli adults. Hypertension. 2006;48(2):254-9. doi: 10.1161/01.HYP.0000227507.69230.fc. [PubMed: 16754794].
  • 13. Slimko ML, Mensah GA. The role of diets, food, and nutrients in the prevention and control of hypertension and prehypertension. Cardiol Clin. 2010;28(4):665-74. doi: 10.1016/j.ccl.2010.08.001. [PubMed: 20937449].
  • 14. Asmathulla S, Rajagovindan D, Sathyapriya V, Pai B. Prevalence of prehypertension and its relationship to cardiovascular disease risk factors in Puducherry. Ind J Physiol Pharm. 2011;55:343-50.
  • 15. Azizi F, Ghanbarian A, Momenan AA, Hadaegh F, Mirmiran P, Hedayati M, et al. Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II. Trials. 2009;10:5. doi: 10.1186/1745-6215-10-5. [PubMed: 19166627]. [PubMed Central: PMC2656492].
  • 16. Delshad M, Ghanbarian A, Ghaleh NR, Amirshekari G, Askari S, Azizi F. Reliability and validity of the modifiable activity questionnaire for an Iranian urban adolescent population. Int J Prev Med. 2015;6:3. doi: 10.4103/2008-7802.151433. [PubMed: 25789138].
  • 17. Esfahani FH, Asghari G, Mirmiran P, Azizi F. Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the Tehran Lipid and Glucose Study. J Epidemiol. 2010;20(2):150-8. [PubMed: 20154450].
  • 18. Lemieux I, Pascot A, Couillard C, Lamarche B, Tchernof A, Almeras N, et al. Hypertriglyceridemic waist: A marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B; small, dense LDL) in men? Circulation. 2000;102(2):179-84. [PubMed: 10889128].
  • 19. Xu S, Gao B, Xing Y, Ming J, Bao J, Zhang Q. Gender differences in the prevalence and development of metabolic syndrome in chinese population with abdominal obesity. PloS one. 2013;8(10). e78270.
  • 20. Rahmanian K, Shojaie M. The prevalence of pre-hypertension and its association to established cardiovascular risk factors in south of Iran. BMC Res Notes. 2012;5:386. doi: 10.1186/1756-0500-5-386. [PubMed: 22838639]. [PubMed Central: PMC3506467].
  • 21. Bardenheier BH, Bullard KM, Caspersen CJ, Cheng YJ, Gregg EW, Geiss LS. A novel use of structural equation models to examine factors associated with prediabetes among adults aged 50 years and older: National Health and Nutrition Examination Survey 2001-2006. Diabetes Care. 2013;36(9):2655-62. doi: 10.2337/dc12-2608. [PubMed: 23649617]. [PubMed Central: PMC3747946].
  • 22. Azadbakht L, Mirmiran P, Hosseini F, Azizi F. Diet quality status of most Tehranian adults needs improvement. Asia Pac J Clin Nutr. 2005;14(2):163-8. [PubMed: 15927934].
  • 23. Agyemang C, van Valkengoed I, van den Born BJ, Stronks K. Prevalence and determinants of prehypertension among African Surinamese, Hindustani Surinamese, and White Dutch in Amsterdam, the Netherlands: the SUNSET study. Eur J Cardiovasc Prev Rehabil. 2007;14(6):775-81. doi: 10.1097/HJR.0b013e32828621df. [PubMed: 18043298].
  • 24. Momenan AA, Delshad M, Mirmiran P, Ghanbarian A, Azizi F. Leisure Time Physical Activity and Its Determinants among Adults in Tehran: Tehran Lipid and Glucose Study. Int J Prev Med. 2011;2(4):243-51. [PubMed: 22174964]. [PubMed Central: PMC3237267].
  • 25. Johnson NJ, Backlund E, Sorlie PD, Loveless CA. Marital status and mortality: the national longitudinal mortality study. Ann Epidemiol. 2000;10(4):224-38.
  • 26. Averett SL, Sikora A, Argys LM. For better or worse: relationship status and body mass index. Econ Hum Biol. 2008;6(3):330-49. doi: 10.1016/j.ehb.2008.07.003. [PubMed: 18753018].
  • 27. Wang Y, Chen J, Wang K, Edwards CL. Education as an important risk factor for the prevalence of hypertension and elevated blood pressure in Chinese men and women. J Hum Hypertens. 2006;20(11):898-900. doi: 10.1038/sj.jhh.1002086. [PubMed: 16971958].
  • 28. Cutler DM, Lleras-Muney A. Understanding differences in health behaviors by education. J Health Econ. 2010;29(1):1-28. doi: 10.1016/j.jhealeco.2009.10.003. [PubMed: 19963292]. [PubMed Central: PMC2824018].
  • 29. Hiza HA, Casavale KO, Guenther PM, Davis CA. Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level. J Acad Nutr Diet. 2013;113(2):297-306. doi: 10.1016/j.jand.2012.08.011. [PubMed: 23168270].
  • 30. Adams J, White M. Prevalence and socio-demographic correlates of time spent cooking by adults in the 2005 UK Time Use Survey. Cross-sectional analysis. Appetite. 2015;92:185-91. doi: 10.1016/j.appet.2015.05.022. [PubMed: 26004671]. [PubMed Central: PMC4509715].
  • 31. Pisa PT, Behanan R, Vorster HH, Kruger A. Social drift of cardiovascular disease risk factors in Africans from the North West Province of South Africa: the PURE study. Cardiovasc J Afr. 2012;23(7):371-8. e379-88. doi: 10.5830/CVJA-2012-018. [PubMed: 22914994]. [PubMed Central: PMC3721859].
  • 32. Chandola T, Britton A, Brunner E, Hemingway H, Malik M, Kumari M, et al. Work stress and coronary heart disease: what are the mechanisms? Eur Heart J. 2008;29(5):640-8. doi: 10.1093/eurheartj/ehm584. [PubMed: 18216031].
Creative Commons License Except where otherwise noted, this work is licensed under Creative Commons Attribution Non Commercial 4.0 International License .

Search Relations:

Author(s):

Article(s):

Create Citiation Alert
via Google Reader

Readers' Comments