Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Predictors of decline in self-reported health: addressing non-ignorable dropout in longitudinal studies of aging
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR). (stat4reg)ORCID iD: 0000-0002-9107-6486
Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR). Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
Department of Economics, University of Perugia, Perugia, Italy.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (stat4reg)ORCID iD: 0000-0003-3187-1987
2017 (English)In: European Journal of Ageing, ISSN 1613-9372, E-ISSN 1613-9380Article in journal (Refereed) Epub ahead of print
Abstract [en]

Predictors of decline in health in older populations have been investigated in multiple studies before. Most longitudinal studies of aging, however, assume that dropout at follow-up is ignorable (missing at random) given a set of observed characteristics at baseline. The objective of this study was to address non-ignorable dropout in investigating predictors of declining self-reported health (SRH) in older populations (50 years or older) in Sweden, the Netherlands, and Italy. We used the SHARE panel survey, and since only 2895 out of the original 5657 participants in the survey 2004 were followed up in 2013, we studied whether the results were sensitive to the expectation that those dropping out have a higher proportion of decliners in SRH. We found that older age and a greater number of chronic diseases were positively associated with a decline in self-reported health in the three countries studies here. Maximum grip strength was associated with decline in self-reported health in Sweden and Italy, and self-reported limitations in normal activities due to health problems were associated with decline in self-reported health in Sweden. These results were not sensitive to non-ignorable dropout. On the other hand, although obesity was associated with decline in a complete case analysis, this result was not confirmed when performing a sensitivity analysis to non-ignorable dropout. The findings, thereby, contribute to the literature in understanding the robustness of longitudinal study results to non-ignorable dropout while considering three different population samples in Europe.

Place, publisher, year, edition, pages
Springer, 2017.
Keyword [en]
Longitudinal studies, Dropout, Sensitivity analysis, Chronic disease, Body mass index, SHARE
National Category
Probability Theory and Statistics Public Health, Global Health, Social Medicine and Epidemiology
Research subject
Statistics; Public health
Identifiers
URN: urn:nbn:se:umu:diva-142639DOI: 10.1007/s10433-017-0448-xOAI: oai:DiVA.org:umu-142639DiVA, id: diva2:1163499
Projects
Paths to Healthy and Active Ageing
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2013-2506
Available from: 2017-12-07 Created: 2017-12-07 Last updated: 2017-12-12

Open Access in DiVA

fulltext(1481 kB)9 downloads
File information
File name FULLTEXT01.pdfFile size 1481 kBChecksum SHA-512
9ed9d4d859c0273fa0102547d84f8e09cb499bd5680e58ff86abcac39cd9676d1cda985a080f54c8e22f199c8cf24cd00f4d13f8876d5adaa617c35d232136f2
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Genbäck, MinnaNg, Nawide Luna, Xavier
By organisation
StatisticsCentre for Demographic and Ageing Research (CEDAR)Epidemiology and Global Health
In the same journal
European Journal of Ageing
Probability Theory and StatisticsPublic Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar
Total: 9 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 75 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.34-SNAPSHOT
|