Insights on Well-being of Older Adults in Baltic States

Insights on Well-being of Older Adults in Baltic States
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This collection of images and data sheds light on the well-being of older adults in Baltic States, showcasing findings on ageing, labour supply, life satisfaction, health, control variables, and the impact of unemployment history. The analysis is based on data from the Survey of Health, Ageing and Retirement in Europe (SHARE), providing valuable information for understanding the conditions and factors affecting the well-being of older populations in Estonia, Latvia, and Lithuania.

  • Well-being
  • Older Adults
  • Baltic States
  • Ageing
  • Health

Uploaded on Feb 18, 2025 | 0 Views


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  1. Well-being of older adults in Baltic states Antanas Kairys, Olga Zamalijeva Vilnius University, Lithuania

  2. Why do we need to talk about ageing... Eurostat

  3. Percentage changes in total labour supply of the population aged 20- 64 European Commission The 2021 Ageing Report

  4. Sample An analysis was based on data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 7. Number of participants (50+): Estonia 5105 Latvia - 1752 Lithuania 2024

  5. The Control, Autonomy, Self-realization and Pleasure (CASP) (Knesebeck et al., 2005) 47 42 37 32 27 22 17 12 50 - 64 year 65+ In total Estonia Lithuania Latvia

  6. Life satisfaction 10 65+ 9 8 7 6 5 4 3 2 1

  7. Life satisfaction 10 50-64 year old participants 9 8 7 6 5 4 3 2 1

  8. Health and well-being 0.5 0.372 0.4 0.3 0.228 0.181 0.2 0.1 0 < 2 LL <2 CC 2+ LL 2+ CC -0.1 -0.2 -0.174 -0.243 -0.3 -0.4 -0.366 -0.5 Subjektyvus sveikatos vertinimas Subjective health Psichologin gerov CASP Pasitenkinimas gyvenimu Life satisfaction

  9. Control variables: Age Gender Place of residence Health: Multimorbidity Affective disorders 14 % CASP Unmet health care needs: Price Waiting time Etc. 5 %

  10. Unemployment history and well-being 34 32 30 28 33.7 32.3 26 24 22 20 Was unemployed at least once No unemployement experience t (4553) = 3,24; p < 0,01; d = 0,22

  11. Unemployment history and well-being 100% 90% 80% 70% 65 60% 50% Conscientiousness 40% 0.5 ADL 30% 11 HH income 20% 11 Country 2 10% 11 0% Demography Income Health Personality Unemployement Unexplained

  12. Work quality and well-being 100% 90% 80% 70% 65.8 60% 50% 40% 30% 9.1 0.5 20% 24.7 10% 0% Control variables Work history Quality of work Unexplained

  13. Thank you for your attention Kontaktai: antanas.kairys@fsf.vu.lt https://www.fsf.vu.lt/mokslas/share www.share-eric.eu

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