SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:su-165830"
 

Search: onr:"swepub:oai:DiVA.org:su-165830" > A comparison of the...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

A comparison of the B-spline group-based trajectory model with the polynomial group-based trajectory model for identifying trajectories of depressive symptoms around old-age retirement

Peristera, Paraskevi (author)
Stockholms universitet,Stressforskningsinstitutet
Platts, Loretta G. (author)
Stockholms universitet,Stressforskningsinstitutet
Magnusson Hanson, Linda L. (author)
Stockholms universitet,Stressforskningsinstitutet
show more...
Westerlund, Hugo (author)
Stockholms universitet,Stressforskningsinstitutet
show less...
 (creator_code:org_t)
2018-11-30
2020
English.
In: Aging & Mental Health. - : Informa UK Limited. - 1360-7863 .- 1364-6915. ; 24:3, s. 445-452
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Objectives: The life event of retirement may be associated with changes in levels of depressive symptoms. The use of polynomial group-based trajectory modelling allows any changes to vary between different groups in a sample. A new approach, estimating these models using B-splines rather than polynomials, may improve modelling of complex changes in depressive symptoms at retirement.Methods: The sample contained 1497 participants from the Swedish Longitudinal Occupational Survey of Health (SLOSH). Polynomial and B-spline approaches to estimating group-based trajectory models were compared.Results: Polynomial group-based trajectory models produced unexpected changes in direction of trajectories unsupported by the data. In contrast, B-splines provided improved insights into trajectory shapes and more homogeneous groups. While retirement was associated with reductions in depressive symptoms in the sample as a whole, the nature of changes at retirement varied between groups.Conclusions: Depressive symptoms trajectories around old age retirement changed in complex ways that were modelled more accurately by the use of B-splines. We recommend estimation of group-based trajectory models with B-splines, particularly where abrupt changes might occur. Improved trajectory modelling may support research into risk factors and consequences of major depressive disorder, ultimately assisting with identification of groups which may benefit from treatment.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Keyword

B-spline smoothing
depressive symptoms
group-based trajectory models
polynomial fitting
old-age retirement
folkhälsovetenskap
Public Health Sciences
Psychology
psykologi

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Peristera, Paras ...
Platts, Loretta ...
Magnusson Hanson ...
Westerlund, Hugo
About the subject
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Health Sciences
and Public Health Gl ...
SOCIAL SCIENCES
SOCIAL SCIENCES
and Psychology
Articles in the publication
Aging & Mental H ...
By the university
Stockholm University

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view