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Statistical Modelling for Risk Factors of High Blood Pressure in Women

Received: 15 September 2014     Accepted: 29 September 2014     Published: 10 October 2014
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Abstract

The main objective of the study is to find out the risk factors of high blood pressure among women. A cross sectional survey was conducted at the public and private hospitals of Southern Punjab, Pakistan. Saturation sampling technique was utilized to gather information. SPSS version 21 was used for statistical analysis. Results showed that the risk factors of high blood pressure are age, income, employment status, physical inactivity, tea, fruit in taking habit, inherited hypertension, stress and sleeplessness.

Published in American Journal of Health Research (Volume 2, Issue 5)
DOI 10.11648/j.ajhr.20140205.22
Page(s) 298-302
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Social Determinants, Risk Factors, Blood Pressure, Women, Hypertension

References
[1] Qasim, H. (2014) Socioeconomic Causes of Diseases: A Case Study of Southern Punjab, M. Phil Thesis, Department of Statistics, The Islamia University of Pakistan. And reference therein.
[2] Vasan, R. et al (2002) Residual Lifetime Risk for Developing Hypertension in Middle-aged Women and Men The Framingham Heart Study, American Medical Association JAMA, Volume 287, No. 8, pp 1003-1010.
[3] Park, H. and Kim, K. (2013) Associations Between Oral Contraceptive Use and Risks of Hypertension and Prehypertension in A Cross-Sectional Study of Korean Women, BMC Women’s Health, Volume 13, No. 39, pp1-7.
[4] Oliveira, G. et al (2014) Prevalence of Hypertension and Associated Factors in an Indigenous Community of Central Brazil: A Population-Based Study, PLOS One, Volume 9, Issue 1, pp 1-6.
[5] Abed, Y. and Abu-Haddaf, S. (2013) Risk Factors of Hypertension at UNRWA Primary Health Care Centers in Gaza Governorates, International Scholarly Research Notices Epidemiology, Volume 2013, pp 1-9.
[6] Forman, J. (2009) Diet and Lifestyle Risk Factors Associated With Incident Hypertension in Women, JAMA, Volume 302, No. 4, pp 401-411.
[7] Dennison, C. et al (2007) Determinants of Hypertension Care and Control Among Peri-Urban Black South Africans: The Hihi Study, Ethnicity and Disease, Volume 17, pp 484-491.
[8] Shah, M. et al (2014) Statistical Analysis of Socio-Economic Causes of Cardiovascular Disease, International Journal of Research, Volume 1, Issue 5, ISSN 2348-6848, pp 223-230.
[9] Brady, C. et al (2005) Effects of Age and Hypertension Status on Cognition: The Veterans Affairs Normative Aging Study, Neuropsychology, Volume 19, No. 6, pp 770-777.
[10] Gulliford, M. et al (2004) Socioeconomic Inequality in Blood Pressure and its Determinants: Cross Sectional data from Trinidad and Tobago, Journal of Human Hypertension, Volume 18, pp 61-70.
[11] Rose, K. et al (1999) The Association Between Extent of Employment and Hypertension Among Women Participants of Second National Health and Nutrition Survey, Women Health, Volume 29, No. 3, pp 13-29.
[12] Semlitsch, T. et al (2013) Increasing Physical Activity for the Treatment of Hypertension: A Systematic Review and Meta-Analysis, Sports Med., Volume 43, No. 10, pp 1009-1023.
Cite This Article
  • APA Style

    Muhammad Akbar Ali Shah, Shakila Khanum, Huma Qasim. (2014). Statistical Modelling for Risk Factors of High Blood Pressure in Women. American Journal of Health Research, 2(5), 298-302. https://doi.org/10.11648/j.ajhr.20140205.22

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    ACS Style

    Muhammad Akbar Ali Shah; Shakila Khanum; Huma Qasim. Statistical Modelling for Risk Factors of High Blood Pressure in Women. Am. J. Health Res. 2014, 2(5), 298-302. doi: 10.11648/j.ajhr.20140205.22

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    AMA Style

    Muhammad Akbar Ali Shah, Shakila Khanum, Huma Qasim. Statistical Modelling for Risk Factors of High Blood Pressure in Women. Am J Health Res. 2014;2(5):298-302. doi: 10.11648/j.ajhr.20140205.22

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  • @article{10.11648/j.ajhr.20140205.22,
      author = {Muhammad Akbar Ali Shah and Shakila Khanum and Huma Qasim},
      title = {Statistical Modelling for Risk Factors of High Blood Pressure in Women},
      journal = {American Journal of Health Research},
      volume = {2},
      number = {5},
      pages = {298-302},
      doi = {10.11648/j.ajhr.20140205.22},
      url = {https://doi.org/10.11648/j.ajhr.20140205.22},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20140205.22},
      abstract = {The main objective of the study is to find out the risk factors of high blood pressure among women. A cross sectional survey was conducted at the public and private hospitals of Southern Punjab, Pakistan. Saturation sampling technique was utilized to gather information. SPSS version 21 was used for statistical analysis. Results showed that the risk factors of high blood pressure are age, income, employment status, physical inactivity, tea, fruit in taking habit, inherited hypertension, stress and sleeplessness.},
     year = {2014}
    }
    

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    AU  - Muhammad Akbar Ali Shah
    AU  - Shakila Khanum
    AU  - Huma Qasim
    Y1  - 2014/10/10
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    AB  - The main objective of the study is to find out the risk factors of high blood pressure among women. A cross sectional survey was conducted at the public and private hospitals of Southern Punjab, Pakistan. Saturation sampling technique was utilized to gather information. SPSS version 21 was used for statistical analysis. Results showed that the risk factors of high blood pressure are age, income, employment status, physical inactivity, tea, fruit in taking habit, inherited hypertension, stress and sleeplessness.
    VL  - 2
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Author Information
  • Department of Statistics, The Islamia University of Bahawalpur, Pakistan

  • Department of Gynae & Obs, Quaid-E-Azam Medical College, Bahawalpur, Pakistan

  • Department of Statistics, The Islamia University of Bahawalpur, Pakistan

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