IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v10y2018i1p88.html
   My bibliography  Save this article

Healthcare Professionals’ Perceptions of Non-Communicable Diseases Risk Factors and Its Regional Distribution in Ethiopia

Author

Listed:
  • Melkamu Kassa
  • Jeanne Grace

Abstract

INTRODUCTION- Non-communicable diseases (NCDs) are increasing as the main cause of death, disability, unproductivity and indisposition in Ethiopia.OBJECTIVES- The objectives of this study were to establish healthcare professionals’ perception on non-communicable disease risk factors and their regional distribution in Ethiopia.METHODS- A mixed method sequential explanatory design was conducted with a questionnaire survey obtaining quantitative replies from 312 healthcare professionals working in 13 referral hospitals in the first phase and qualitative data among 13 hospital managers in the second phase.RESULTS- Statistically significant prevalence of NCDs risk factors were reported with the lack of physical exercise (M=4.94, SD=.245, t (311) = 139.383; p < .0005), hypertension (M=4.89, SD=.312, t (311) = 107.021; p < .0005), and unhealthy diet (M=4.61, SD=.782, t (311) = 36.426; p < .0005) ranking as the top three leading NCDs risk factors. The prevalence and distribution of NCDs risk factors varied within Ethiopia, with a high perceived prevalence of lack of physical exercise, unhealthy diet, alcohol use, and blood glucose in Addis Ababa city followed by Amhara region. A high prevalence of tobacco use and hypertension was also observed in the regions of Benishangul Gumuz.CONCLUSION- The results revealed that the prevalence of NCDs risk factors are increasing in different regions of Ethiopia. Regionally specific non-communicable disease intervention strategies are required to revert the growing burden of the risk factors effectively.

Suggested Citation

  • Melkamu Kassa & Jeanne Grace, 2018. "Healthcare Professionals’ Perceptions of Non-Communicable Diseases Risk Factors and Its Regional Distribution in Ethiopia," Global Journal of Health Science, Canadian Center of Science and Education, vol. 10(1), pages 1-88, January.
  • Handle: RePEc:ibn:gjhsjl:v:10:y:2018:i:1:p:88
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/download/71218/39560
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/view/71218
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goodman, A. & Sahlqvist, S. & Ogilvie, D., 2014. "New walking and cycling routes and increased physical activity: One- and 2-year findings from the UK iConnect study," American Journal of Public Health, American Public Health Association, vol. 104(9), pages 38-46.
    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. Ali Al-Ramini & Mohammad A Takallou & Daniel P Piatkowski & Fadi Alsaleem, 2022. "Quantifying changes in bicycle volumes using crowdsourced data," Environment and Planning B, , vol. 49(6), pages 1612-1630, July.
    2. Celia Marcen & Eduardo Piedrafita & Rubén Oliván & Irela Arbones, 2022. "Physical Activity Participation in Rural Areas: A Case Study," IJERPH, MDPI, vol. 19(3), pages 1-21, January.
    3. Miroslav Vasilev & Ray Pritchard & Thomas Jonsson, 2018. "Trialing a Road Lane to Bicycle Path Redesign—Changes in Travel Behavior with a Focus on Users’ Route and Mode Choice," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    4. Jinhyun Hong & David Philip McArthur & Mark Livingston, 2020. "The evaluation of large cycling infrastructure investments in Glasgow using crowdsourced cycle data," Transportation, Springer, vol. 47(6), pages 2859-2872, December.
    5. Martin, Adam & Morciano, Marcello & Suhrcke, Marc, 2021. "Determinants of bicycle commuting and the effect of bicycle infrastructure investment in London: Evidence from UK census microdata," Economics & Human Biology, Elsevier, vol. 41(C).
    6. Nick Petrunoff & Chris Rissel & Li Ming Wen, 2017. "“If You Don’t Do Parking Management .. Forget Your Behaviour Change, It’s Not Going to Work.”: Health and Transport Practitioner Perspectives on Workplace Active Travel Promotion," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-20, January.
    7. Michael Hardinghaus & Simon Nieland & Marius Lehne & Jan Weschke, 2021. "More than Bike Lanes—A Multifactorial Index of Urban Bikeability," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    8. Yisheng Peng & Jiahui Liu & Tianyao Zhang & Xiangyang Li, 2021. "The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    9. Qiang Liu & Toshiaki Yamada & Hang Liu & Li Lin & Qiaoling Fang, 2022. "Healthy Behavior and Environmental Behavior Correlate with Bicycle Commuting," IJERPH, MDPI, vol. 19(6), pages 1-12, March.
    10. Ghekiere, Ariane & Deforche, Benedicte & De Bourdeaudhuij, Ilse & Clarys, Peter & Mertens, Lieze & Cardon, Greet & de Geus, Bas & Nasar, Jack & Van Cauwenberg, Jelle, 2018. "An experimental study using manipulated photographs to examine interactions between micro-scale environmental factors for children's cycling for transport," Journal of Transport Geography, Elsevier, vol. 66(C), pages 30-34.
    11. Song, Yena & Preston, John & Ogilvie, David, 2017. "New walking and cycling infrastructure and modal shift in the UK: A quasi-experimental panel study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 320-333.
    12. Cooper, Crispin H.V., 2017. "Using spatial network analysis to model pedal cycle flows, risk and mode choice," Journal of Transport Geography, Elsevier, vol. 58(C), pages 157-165.
    13. Kong, Hui & Wu, Jingyi & Li, Pengfei, 2024. "Impacts of active mobility on individual health mediated by physical activities," Social Science & Medicine, Elsevier, vol. 348(C).
    14. Frank, Lawrence D. & Hong, Andy & Ngo, Victor Douglas, 2021. "Build it and they will cycle: Causal evidence from the downtown Vancouver Comox Greenway," Transport Policy, Elsevier, vol. 105(C), pages 1-11.
    15. Freya MacMillan & Emma S. George & Xiaoqi Feng & Dafna Merom & Andrew Bennie & Amelia Cook & Taren Sanders & Genevieve Dwyer & Bonnie Pang & Justin M. Guagliano & Gregory S. Kolt & Thomas Astell-Burt, 2018. "Do Natural Experiments of Changes in Neighborhood Built Environment Impact Physical Activity and Diet? A Systematic Review," IJERPH, MDPI, vol. 15(2), pages 1-29, January.
    16. Mogens Fosgerau & Miroslawa Lukawska & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2022. "Bikeability and the induced demand for cycling," Papers 2210.02504, arXiv.org, revised Dec 2022.
    17. Sulikova, Simona & Brand, Christian, 2022. "Do information-based measures affect active travel, and if so, for whom, when and under what circumstances? Evidence from a longitudinal case-control study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 219-234.
    18. João Paulo dos Anjos Souza Barbosa & Paulo Henrique Guerra & Crislaine de Oliveira Santos & Ana Paula de Oliveira Barbosa Nunes & Gavin Turrell & Alex Antonio Florindo, 2019. "Walkability, Overweight, and Obesity in Adults: A Systematic Review of Observational Studies," IJERPH, MDPI, vol. 16(17), pages 1-17, August.
    19. Willberg, Elias & Fink, Christoph & Toivonen, Tuuli, 2023. "The 15-minute city for all? – Measuring individual and temporal variations in walking accessibility," Journal of Transport Geography, Elsevier, vol. 106(C).
    20. Gustav Bösehans & Ian Walker, 2020. "Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory," Transportation, Springer, vol. 47(1), pages 243-273, February.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download 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:ibn:gjhsjl:v:10:y:2018:i:1:p:88. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.