I urval från Stockholms universitets publikationsdatabas

• A social exclusion perspective on loneliness in older adults in the Nordic countries

  2022. Lena Dahlberg (et al.). European Journal of Ageing

  Artikel

  Several factors associated with loneliness are also considered indicators of social exclusion. While loneliness has been proposed as an outcome of social exclusion, there is limited empirical evidence of a link. This study examines the associations between social exclusion indicators and loneliness in older adults (60+ years) in four Nordic countries. Data from four waves of the European Social Survey were pooled, providing a total of 7755 respondents (Denmark n = 1647; Finland n = 2501, Norway n = 1540; Sweden n = 2067). Measures of loneliness, demographic characteristics, health, and eight indicators of social exclusion were selected from the survey for analysis. Country-specific and total sample hierarchical logistic regression models of loneliness were developed. Significant model improvement occurred for all models after social exclusion indicators were added to models containing only demographic and health variables. Country models explained between 15.1 (Finland) and 21.5% (Sweden) of the variance in loneliness. Lower frequency of social contacts and living alone compared to in a two-person household was associated with a higher probability of loneliness in all countries, while other indicators were associated with loneliness in specific countries: lower neighbourhood safety (Sweden and Denmark); income concern (Sweden and Finland); and no emotional support (Denmark, Finland, and Sweden). A robust relationship was apparent between indicators of social exclusion and loneliness with the direction of associations being highly consistent across countries, even if their strength and statistical significance varied. Social exclusion has considerable potential for understanding and addressing risk factors for loneliness.

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• Do cognitively stimulating activities affect the association between retirement timing and cognitive functioning in old age?

  2022. Isabel Baumann (et al.). Ageing & Society 42 (2), 306-330

  Artikel

  In response to the rising financial pressure on old-age pension systems in industrialised economies, many European countries plan to increase the eligibility age for retirement pensions. We used data from Sweden to examine whether (and if so, how) retirement after age 65 – the eligibility age for basic pension – compared to retiring earlier affects older adults’ (between ages 70 and 85) cognitive functioning. Using a propensity score matching (PSM) approach, we addressed the selection bias potentially introduced by non-random selection into either early or late retirement. We also examined average and heterogeneous treatment effects (HTEs). HTEs were evaluated for different levels of cognitive stimulation from occupational activities before retirement and from leisure activities after retirement. We drew from a rich longitudinal data-set linking two nationally representative Swedish surveys with a register data-set and found that, on average, individuals who retire after age 65 do not have a higher level of cognitive functioning than those who retire earlier. Similarly, we did not observe HTEs from occupational activities. With respect to leisure activities, we found no systematic effects on cognitive functioning among those working beyond age 65. We conclude that, in general, retirement age does not seem to affect cognitive functioning in old age. Yet, the rising retirement age may put substantial pressure on individuals who suffer from poor health at the end of their occupational career, potentially exacerbating social- and health-related inequalities among older people.

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• Social Mobility and Tooth Loss: A Systematic Review and Meta-analysis

  2022. R. K. Celeste (et al.). Journal of Dental Research 101 (2), 143-150

  Artikel

  This study systematically reviews the evidence of the association between life course social mobility and tooth loss among middle-aged and older people. PubMed, Scopus, Embase, and Web of Science were systematically searched in addition to gray literature and contact with the authors. Data on tooth loss were collated for a 4-category social mobility variable (persistently high, upward or downward mobility, and persistently low) for studies with data on socioeconomic status (SES) before age 12 y and after age 30 y. Several study characteristics were extracted to investigate heterogeneity in a random effect meta-analysis. A total of 1,384 studies were identified and assessed for eligibility by reading titles and abstracts; 21 original articles were included, of which 18 provided sufficient data for a meta-analysis with 40 analytical data sets from 26 countries. In comparison with individuals with persistently high social mobility, the pooled odds ratios (ORs) for the other categories were as follows: upwardly mobile, OR = 1.73 (95% CI, 1.53 to 1.95); downwardly mobile, OR = 2.52 (95% CI, 2.19 to 2.90); and persistently low, OR = 3.96 (95% CI, 3.13 to 5.03). A high degree of heterogeneity was found(I² > 78%), and subgroup analysis was performed with 17 study-level characteristics; however, none could explain heterogeneity consistently in these 3 social mobility categories. SES in childhood and adulthood is associated with tooth loss, but the high degree of heterogeneity prevented us from forming a robust conclusion on whether upwardly or downwardly mobile SES may be more detrimental. The large variability in effect size among the studies suggests that contextual factors may play an important role in explaining the difference in the effects of low SES in different life stages (PROSPERO CRD42018092427).

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• How to Measure Retirement Age? A Comparison of Survey and Register Data

  2021. Harpa S. Eyjolfsdóttir (et al.). Journal of Population Ageing 14, 143-161

  Artikel

  Due to an increasing heterogeneity in retirement transitions, the measurement of retirement age constitutes a major challenge for researchers and policymakers. In order to better understand the concept of retirement age, we compare a series of measures for retirement age assessed on the basis of survey and register data. We use data from Sweden, where flexible retirement schemes are implemented and register data are available. We link survey data from the Swedish Level of Living Survey with register data from the Swedish Longitudinal Integration Database for Health Insurance and Labour Market Studies. We create four measures of retirement age based on these datasets, applying approaches that have been used in previous literature. We analyse the means and distributions of these measures and evaluate the correlations between them. Finally, we regress common predictors of retirement age such as gender or education on the four measures of retirement age to examine potential differences in size, direction and statistical significance of the associations. We find that the survey measure of retirement age resembles the following two ways of defining retirement age in the register data: first, the age at which people receive more than half their income from old-age or disability pension and, second, the age at which they were not gainfully employed for at least 2 years. This insight gives us a better understanding of when in the retirement transition process, individuals identify with retirement. Moreover, it provides decision support for researchers working with register data to determine which measure to use.

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• The association between loneliness, social isolation and all-cause mortality in a nationally representative sample of older women and men

  2021. Carin Lennartsson, Johan Rehnberg, Lena Dahlberg. Aging & Mental Health

  Artikel

  Objectives: Individuals who feel lonely and those who are socially isolated have higher mortality risks than those who are not lonely or socially isolated. However, the importance of loneliness and social isolation for survival is rarely analysed in the same study or with consideration of gender differences. The aim was to examine the separate, mutually adjusted, and combined effects of loneliness and social isolation with mortality in older women and men.

  Methods: Data from the SWEOLD study, a nationally representative sample of people aged 69+ years living in Sweden, was combined with register data on mortality and analysed using Cox regressions.

  Results: Mortality was higher among older women and men with higher levels of loneliness or social isolation. Social isolation was more strongly associated with mortality than loneliness and the association remained when controlling for health. The combined effects of loneliness and social isolation did not surpass their independent effects.

  Conclusion: Loneliness and social isolation is associated with an increased mortality risk, and social integration should be a prioritised target for activities and services involving older adults.

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