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Determinants of Food Access of Old People in Dire Dawa City, Ethiopia: An Ordinal Logistic Regression Analysis

Received: 27 January 2017     Accepted: 18 February 2017     Published: 22 March 2017
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Abstract

Although Ethiopia is a young country with 46 per cent of the population under the age of 14, over five per cent of the 81 million Ethiopians are aged 60 years or more. This proportion of older persons is anticipated to nearly double to nine per cent by 2050. There are several factors that could hinder old people access to food such as income, health status, household size, disability and others (HAIE, 2011). This objective of this study was to assess the old people access to food and its determinants in Dire Dawa city. Total samples of 947 old people were taken by using cluster sampling over proportional allocation to each kebele. Quantitative and qualitative data has been collected from aged persons in Dawit Aid for Aged persons Association, Asegedech Association and other appropriate enumeration areas. The descriptive analysis resulted that 72.76% were members of the associations. Most (74.3%) members of the organization have medium and above food access. Additionally their life have been improved in terms of obtaining medical, clothing and counseling service after they joined the organizations. The ordinal logistic regression identified income source, occupation, owning a house and type of membership organization as determinants of daily food access for the elderly.

Published in Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 2)
DOI 10.11648/j.sjams.20170502.14
Page(s) 85-93
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), 2017. Published by Science Publishing Group

Keywords

Dire Dawa University, Elderly People, Food Access, Ordinal Logistic Regression, Ethiopia

References
[1] Glyn W. Humphreys, Mihaela D. Duta, Livia Montana, Nele Demeyere, Cathal McCrory, Julia Rohr, Kathleen Kahn, Stephen Tollman, Lisa Berkman (2016). Cognitive Function in Low-Income and Low-Literacy Settings: Validation of the Tablet-Based Oxford Cognitive Screen in the Health and Aging in Africa: A Longitudinal Study of and indepth Community in South Africa (HAALSI).
[2] Theresa E. Gildner, Melissa A. Liebert, Benjamin D. Capistrant, Catherine D’Este, J. Josh Snodgrass Paul Kowal (2016). Perceived Income Adequacy and Well-being Among Older Adults in Six Low- and Middle-Income Countries.
[3] Cooper, J. K. and Kohlmann, T.(2001). Factors associated with health status of older Americans’, Age and Ageing, Vol. 30: 495-501.
[4] Central Statistical Authority (2007).Summary and Statistical Report of the 2007 Population and Housing Census Results, Ethiopia.
[5] Hosmer, D.W. and Lemishow, S. (2000). Applied Logistic Regression, 2nd ed., John Wiley & Sons, New York, NY.
[6] Agresti, A. (1990). Categorical Data Analysis. John Wiley & Sons, New York, NY.
[7] Sarkar, S.K. and H. Midi (2010). Importance of assessing the model adequacy of binary logistic regression. Journal Applied Science. 10: 479-486.
[8] MLSA (2006) National Plan of Action on older persons (1998 - 2007) E.C.
[9] Dawit Aid for Aged People Association (2006). Free Health and Older People Technical Working Group. Dire Dawa.
[10] Fahey and Murray (1994). Health and Autonomy Among the Over 65s in Ireland. Dublin: National Council for the Elderly.
[11] Minsitry of Finance and Economic Development (2010): Annual Report.
[12] Gilleard, C. & Higgs, P. (2005). Contexts of Ageing: Class, Cohort and Community. Cambridge: Polity Press.
[13] Erikson, E. (1980). Identity and the Life Cycle: A Reissue. New York: Norton.
[14] Help Age International Ethiopia (2011). A study of older people’s livelihoods in Ethiopia.
[15] Assefa Baleher and Frehiwot Yirsaw (2003). Regional Workshop on Ageing and poverty, Ethiopia. Dares Salam, Tanzania.
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  • APA Style

    Nibret Alene Bemanjo, Dawit Daniel Dando. (2017). Determinants of Food Access of Old People in Dire Dawa City, Ethiopia: An Ordinal Logistic Regression Analysis. Science Journal of Applied Mathematics and Statistics, 5(2), 85-93. https://doi.org/10.11648/j.sjams.20170502.14

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    ACS Style

    Nibret Alene Bemanjo; Dawit Daniel Dando. Determinants of Food Access of Old People in Dire Dawa City, Ethiopia: An Ordinal Logistic Regression Analysis. Sci. J. Appl. Math. Stat. 2017, 5(2), 85-93. doi: 10.11648/j.sjams.20170502.14

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    AMA Style

    Nibret Alene Bemanjo, Dawit Daniel Dando. Determinants of Food Access of Old People in Dire Dawa City, Ethiopia: An Ordinal Logistic Regression Analysis. Sci J Appl Math Stat. 2017;5(2):85-93. doi: 10.11648/j.sjams.20170502.14

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  • @article{10.11648/j.sjams.20170502.14,
      author = {Nibret Alene Bemanjo and Dawit Daniel Dando},
      title = {Determinants of Food Access of Old People in Dire Dawa City, Ethiopia: An Ordinal Logistic Regression Analysis},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {5},
      number = {2},
      pages = {85-93},
      doi = {10.11648/j.sjams.20170502.14},
      url = {https://doi.org/10.11648/j.sjams.20170502.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170502.14},
      abstract = {Although Ethiopia is a young country with 46 per cent of the population under the age of 14, over five per cent of the 81 million Ethiopians are aged 60 years or more. This proportion of older persons is anticipated to nearly double to nine per cent by 2050. There are several factors that could hinder old people access to food such as income, health status, household size, disability and others (HAIE, 2011). This objective of this study was to assess the old people access to food and its determinants in Dire Dawa city. Total samples of 947 old people were taken by using cluster sampling over proportional allocation to each kebele. Quantitative and qualitative data has been collected from aged persons in Dawit Aid for Aged persons Association, Asegedech Association and other appropriate enumeration areas. The descriptive analysis resulted that 72.76% were members of the associations. Most (74.3%) members of the organization have medium and above food access. Additionally their life have been improved in terms of obtaining medical, clothing and counseling service after they joined the organizations. The ordinal logistic regression identified income source, occupation, owning a house and type of membership organization as determinants of daily food access for the elderly.},
     year = {2017}
    }
    

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    AU  - Nibret Alene Bemanjo
    AU  - Dawit Daniel Dando
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    AB  - Although Ethiopia is a young country with 46 per cent of the population under the age of 14, over five per cent of the 81 million Ethiopians are aged 60 years or more. This proportion of older persons is anticipated to nearly double to nine per cent by 2050. There are several factors that could hinder old people access to food such as income, health status, household size, disability and others (HAIE, 2011). This objective of this study was to assess the old people access to food and its determinants in Dire Dawa city. Total samples of 947 old people were taken by using cluster sampling over proportional allocation to each kebele. Quantitative and qualitative data has been collected from aged persons in Dawit Aid for Aged persons Association, Asegedech Association and other appropriate enumeration areas. The descriptive analysis resulted that 72.76% were members of the associations. Most (74.3%) members of the organization have medium and above food access. Additionally their life have been improved in terms of obtaining medical, clothing and counseling service after they joined the organizations. The ordinal logistic regression identified income source, occupation, owning a house and type of membership organization as determinants of daily food access for the elderly.
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Author Information
  • Department of Statistics, College of Natural and Computational Sciences, Dire Dawa University, Dire Dawa, Ethiopia

  • Department of Statistics, College of Natural and Computational Sciences, Dire Dawa University, Dire Dawa, Ethiopia

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