Sequencing the real time of the elderly: Evidence from South Africa

Clicks: 458
ID: 73844
2016
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #5 of 16 articles by views in demographic research

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Background: Understanding how the elderly in developing countries spend their time has received little attention. Moreover, the potential of time use data to discern variation in activity patterns has not been fully realized by methods which use a mean added time approach. Objective: To uncover patterns of time use among the elderly (60 years and older) in South Africa by applying an innovative methodology that incorporates the timing, duration, and frequency of activities in the analysis. Methods: We use sequence analysis, which treats the daily series of activities of each individual as a sequence, and cluster analysis, to group these sequences into common clusters of time use behaviour. We then estimate multinomial logit regressions to identify the characteristics of the elderly which predict cluster membership. Results: We find that the time use behaviour of the elderly in South Africa can be divided into five distinct clusters, according to the relative importance in their day of personal care, household maintenance, work, mass media, and social or cultural activities. In comparison to men, women are overrepresented in the cluster where household work dominates, while they are underrepresented in the cluster of the elderly who engage in production work. A range of other individual and household characteristics are also important in predicting cluster membership. Contribution: Sequence and cluster analysis permit a nuanced examination of the differences and commonalities in time use patterns among the elderly in South Africa. There is considerable potential to extend these methods to other studies of time use behaviour.
Reference Key
grapsa2016sequencingdemographic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Grapsa, Erofili;Posel, Dorrit;
Journal demographic research
Year 2016
DOI
DOI not found
URL
https://www.demographic-research.org/volumes/vol35/25/
Keywords
Medicine (General) Technology business public aspects of medicine social sciences (general) motor vehicles. aeronautics. astronautics economic theory. demography architecture building construction management. industrial management demography. population. vital events

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.