IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i23p4699-d290866.html
   My bibliography  Save this article

Effect of Obesity and Other Risk Factors on Hypertension among Women of Reproductive Age in Ghana: An Instrumental Variable Probit Model

Author

Listed:
  • Abayomi Samuel Oyekale

    (Department of Agricultural Economics and Extension, North-West University, Mafikeng Campus, Mmabatho 2735, South Africa)

Abstract

Background : The growing incidence of mortality as a result cardiovascular diseases (CVDs) is a major public health concern in several developing countries. In Ghana, unhealthy food consumption pattern and sedentary lifestyle are promoting overweight and obesity, with significant consequences on the incidence of CVDs. Specifically, hypertension morbidity is now a public health concern among Ghanaian health policy makers. This paper analysed the effect of body mass index (BMI)/arm circumference and other associated factors on hypertension risk among women of reproductive ages in Ghana. Methods : The data were collected as Demographic and Health Survey (DHS) in 2014. This paper analysed the subset of the data that were collected from eligible women 15–49 years of age. The total sample was 9396, while 9367 gave consents to have their blood pressure measured. Data were analysed with instrumental probit regression model with consideration of potential endogeneity of BMI and arm circumference. Results : The results showed that 25% of the women were either overweight or obese, while 13.28% were hypertensive. Women from the Greater Accra (18.15%), Ashanti (15.53%) and Volta (15.02%) regions had the highest incidences of hypertension. BMI and arm circumferences were truly endogenous and positively associated with the probability of being hypertensive. Other factors that influenced hypertension were age of women, region of residence, urban/rural residence, being pregnant, access to medical insurance, currently working, consumption of broth cubes, processed can meats, salted meat and fruits. Conclusion : It was concluded that hypertension risk was positively associated with being overweight, obesity, age and consumption of salted meat.It was inter aliaemphasized that engagement in healthy eating with less consumption of salted meats, and more consumption of fruits would assist in controlling hypertension among Ghanaian women.

Suggested Citation

  • Abayomi Samuel Oyekale, 2019. "Effect of Obesity and Other Risk Factors on Hypertension among Women of Reproductive Age in Ghana: An Instrumental Variable Probit Model," IJERPH, MDPI, vol. 16(23), pages 1-17, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4699-:d:290866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/23/4699/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/23/4699/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 189-221.
    2. Doherty, Edel & Queally, Michelle & Cullinan, John & Gillespie, Paddy, 2017. "The impact of childhood overweight and obesity on healthcare utilisation," Economics & Human Biology, Elsevier, vol. 27(PA), pages 84-92.
    3. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    4. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raquel Fonseca Benito & Yuhui Zheng, 2011. "The Effect of Education on Health Cross-Country Evidence," Working Papers WR-864, RAND Corporation.
    2. Bautista, María Angélica & González, Felipe & Martinez, Luis R. & Muñoz, Pablo & Prem, Mounu, 2020. "Does Higher Education Reduce Mortality? Evidence from a Natural Experiment in Chile," SocArXiv 5s2px, Center for Open Science.
    3. Philip Oreopoulos & Kjell G. Salvanes, 2009. "How large are returns to schooling? Hint: Money isn't everything," NBER Working Papers 15339, National Bureau of Economic Research, Inc.
    4. Leonardo Becchetti & Pierluigi Conzo & Fabio Pisani, 2018. "Education and health in Europe," Applied Economics, Taylor & Francis Journals, vol. 50(12), pages 1362-1377, March.
    5. Dixon, Padraig & Hollingworth, William & Harrison, Sean & Davies, Neil M. & Davey Smith, George, 2020. "Mendelian Randomization analysis of the causal effect of adiposity on hospital costs," Journal of Health Economics, Elsevier, vol. 70(C).
    6. Susan Dynarski, 2008. "Building the Stock of College-Educated Labor," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 576-610.
    7. Tony Beatton & Michael P. Kidd & Matteo Sandi, 2020. "School indiscipline and crime," CEP Discussion Papers dp1727, Centre for Economic Performance, LSE.
    8. Juergen Jung & Vinish Shrestha, 2018. "The Affordable Care Act And College Enrollment Decisions," Economic Inquiry, Western Economic Association International, vol. 56(4), pages 1980-2009, October.
    9. Si Wang & Qingqing Yang, 2022. "Does weight impact adolescent mental health? Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2269-2286, October.
    10. Ryan D. Edwards, 2016. "Health, SES, and the timing of education among military retirees," Education Economics, Taylor & Francis Journals, vol. 24(4), pages 393-410, August.
    11. Dursun, Bahadır & Cesur, Resul & Mocan, Naci, 2018. "The Impact of Education on Health Outcomes and Behaviors in a Middle-Income, Low-Education Country," Economics & Human Biology, Elsevier, vol. 31(C), pages 94-114.
    12. Paul Heaton, 2008. "Childhood Educational Disruption and Later Life Outcomes: Evidence from Prince Edward County," Journal of Human Capital, University of Chicago Press, vol. 2(2), pages 154-187.
    13. Will Dobbie & Roland G. Fryer, Jr, 2009. "Are High Quality Schools Enough to Close the Achievement Gap? Evidence from a Social Experiment in Harlem," NBER Working Papers 15473, National Bureau of Economic Research, Inc.
    14. Meyer, Andrew, 2015. "Does education increase pro-environmental behavior? Evidence from Europe," Ecological Economics, Elsevier, vol. 116(C), pages 108-121.
    15. Oreopoulos, Philip, 2007. "Do dropouts drop out too soon? Wealth, health and happiness from compulsory schooling," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2213-2229, December.
    16. Petter Lundborg, 0000. "The Health Returns to Education - What can we learn from Twins?," Tinbergen Institute Discussion Papers 08-027/3, Tinbergen Institute.
    17. Cutler, David M. & Huang, Wei & Lleras-Muney, Adriana, 2015. "When does education matter? The protective effect of education for cohorts graduating in bad times," Social Science & Medicine, Elsevier, vol. 127(C), pages 63-73.
    18. Rosolia, Alfonso & Cipollone, Piero, 2011. "Schooling and Youth Mortality: Learning from a Mass Military Exemption," CEPR Discussion Papers 8431, C.E.P.R. Discussion Papers.
    19. Gray, Daniel & Montagnoli, Alberto & Moro, Mirko, 2021. "Does education improve financial behaviors? Quasi-experimental evidence from Britain," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 481-507.
    20. Laurent Lequien, 2007. "Education in France during World War II and Subsequent Mortality," Working Papers 2007-06, Center for Research in Economics and Statistics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4699-:d:290866. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.