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Socio-economic predictors of depressive symptoms around old age retirement in Swedish women and men
Stockholms universitet, Samhällsvetenskapliga fakulteten, Stressforskningsinstitutet.ORCID-id: 0000-0003-3578-5824
Stockholms universitet, Samhällsvetenskapliga fakulteten, Stressforskningsinstitutet.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Stressforskningsinstitutet.ORCID-id: 0000-0002-2908-1903
Stockholms universitet, Samhällsvetenskapliga fakulteten, Stressforskningsinstitutet.ORCID-id: 0000-0002-8806-5698
Antal upphovsmän: 42019 (Engelska)Ingår i: Aging & Mental Health, ISSN 1360-7863, E-ISSN 1364-6915, Vol. 23, nr 5, s. 558-565Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Objectives: To estimate trajectories of depression around old age retirement in Swedish women and men and examine if socio-economic status predicted the trajectoriesMethods: The analytic sample comprised 907 women and 806 men from the Swedish Longitudinal Occupational Survey of Health. B-spline smoothers and group-based trajectory modelling were used to identify groups of individuals with similar trajectories of depressive symptoms around retirement. Multinomial regression analyses were conducted to investigate if socio-economic factors were associated with odds of belonging to trajectory groups with higher depression scores.Results: Four depressive symptoms trajectories were identified in both genders, all showing similar symptom levels across the retirement transition. Low levels of depressive symptoms were observed in the three largest groups. In the last trajectory group among women (2.5%) depression scores were moderate to severe and among men (3.3%) depression scores were persistent moderate. Higher educational level and lower subjectively rated social status were associated with higher odds of belonging to trajectory groups with higher levels of depressive symptoms in both genders. Conclusion: Retirement transition was not associated with symptoms of depression. Higher educational level and lower subjective social status may predict higher depressive symptom levels the years around old age retirement.

Ort, förlag, år, upplaga, sidor
2019. Vol. 23, nr 5, s. 558-565
Nyckelord [en]
Old age retirement, depression, group based trajectory modelling, smoothing, socio-economic status
Nationell ämneskategori
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi Gerontologi, medicinsk/hälsovetenskaplig inriktning
Identifikatorer
URN: urn:nbn:se:su:diva-170198DOI: 10.1080/13607863.2018.1430741ISI: 000468373400006PubMedID: 29368946OAI: oai:DiVA.org:su-170198DiVA, id: diva2:1337820
Tillgänglig från: 2019-07-17 Skapad: 2019-07-17 Senast uppdaterad: 2019-07-17Bibliografiskt granskad

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Av författaren/redaktören
Nyberg, AnnaPeristera, ParaskeviHanson, Linda L. MagnussonWesterlund, Hugo
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Stressforskningsinstitutet
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Aging & Mental Health
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologiGerontologi, medicinsk/hälsovetenskaplig inriktning

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