IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v14y2022i2p16.html
   My bibliography  Save this article

A Comparative Study of Prevalence and Risk Factors Associated with Depressive Symptoms in Two Long-Lived Elderly Populations in Brazil

Author

Listed:
  • Bárbara T.B.A de Souza
  • Júlia C.L. Nóbrega
  • Raisa R.F. Simões
  • Juliana Barbosa
  • Ricardo A. Olinda
  • Yeda A. O. Duarte
  • Mayana Zatz
  • Silvana Santos

Abstract

This cross-sectional study aimed to investigate and compare the prevalence and risk factors associated with depressive symptoms among long-lived elderly, aged 80 and over, in two Brazilian populations. Face-to-face interviews were performed with 417 seniors- 179 living in the poor and rural town of Brejo dos Santos, Paraíba, and 238 in one of the largest urban centers in Latin America, the city of São Paulo, São Paulo. In the rural region of Brejo dos Santos, these depressive symptoms were more associated with the family support network, co-residence, and the number of members of the social network; in São Paulo, on the other hand, depression is more associated with the elderly's difficulty in performing basic and instrumental daily-living activities and with their overall satisfaction with life. From the results obtained, it was possible to verify that a very significant portion of the longevous elderly in Brejo dos Santos, Paraíba, have symptoms that suggest depression, and it is necessary to further investigate environmental and genetic factors that could explain this observation, given that this community has a high frequency of consanguinity.

Suggested Citation

  • Bárbara T.B.A de Souza & Júlia C.L. Nóbrega & Raisa R.F. Simões & Juliana Barbosa & Ricardo A. Olinda & Yeda A. O. Duarte & Mayana Zatz & Silvana Santos, 2022. "A Comparative Study of Prevalence and Risk Factors Associated with Depressive Symptoms in Two Long-Lived Elderly Populations in Brazil," Global Journal of Health Science, Canadian Center of Science and Education, vol. 14(2), pages 1-16, February.
    • Handle: RePEc:ibn:gjhsjl:v:14:y:2022:i:2:p:16
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/gjhs/article/download/0/0/46469/49607
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/gjhs/article/view/0/46469
    Download Restriction: no
    ---><---

    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:14:y:2022:i:2:p:16. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.