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Concurrent trajectories of residential region in relation to a sustainable working life among Swedish twins. | LitMetric

Concurrent trajectories of residential region in relation to a sustainable working life among Swedish twins.

Eur J Public Health

Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Published: August 2023

AI Article Synopsis

  • - The study investigates how living in different residential areas in Sweden affects sustainable working life (SWL), focusing on twins from 1998 to 2016 to analyze social security and labor market disparities.
  • - Data analysis revealed six distinct living and SWL trajectories, with most individuals in towns and suburbs experiencing stable or varying degrees of SWL, while factors like age and education influenced these outcomes.
  • - Findings suggest that while many people maintain their residence in towns and suburbs, the level of SWL can differ significantly; more detailed research on residential area characteristics is necessary for better understanding these impacts.

Article Abstract

Background: Residential regions may impact the possibilities to achieve a sustainable working life (SWL, i.e. not having interruptions due to sickness absence, disability pension or unemployment) due to disparities in social security and labour market. We aimed to investigate concurrent trajectories of regions and SWL among Swedish twins.

Methods: National register data were used for the degree of SWL in each year, old-age pension, emigration, death and residential regions classified in three categories (cities; towns and suburbs; or rural areas) of Swedish twins in 1998-2016 (nā€‰=ā€‰80ā€‰398). Group-based multi-trajectory modelling and multinomial regression for relative risks with 95% confidence intervals were calculated.

Results: The six-group solution had the best fit to data with trajectories: stable living in towns and suburbs with SWL (33.8%); stable living in cities with SWL (22.1%); stable living in towns and suburbs with increasing SWL (13.9%); stable living in towns and suburbs with lack of SWL (13.2%); stable living towns and suburbs with decreasing SWL (8.8%); and stable living towns and suburbs with decreasing and ultimately lack of SWL (8.3%). Age and being woman increased and being married and higher education decreased the likelihood of belonging to groups 2-6 (vs. 1).

Conclusions: The simultaneous assessment of trajectories of three residential regions and SWL indicated that most people in Sweden seem to live continuously over time in towns and suburbs, but the degree of SWL may vary. More fine-grained assessment of residential regions would be needed to clarify the associations with SWL.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393480PMC
http://dx.doi.org/10.1093/eurpub/ckad053DOI Listing

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