Skip to main content
Top
Gepubliceerd in: Quality of Life Research 8/2022

06-01-2022

How is your life? understanding the relative importance of life domains amongst older adults, and their associations with self-perceived COVID-19 impacts

Auteurs: Gang Chen, Jan Abel Olsen

Gepubliceerd in: Quality of Life Research | Uitgave 8/2022

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

This study aims to provide new knowledge on the relative importance of key life domains amongst older adults, and how the Coronavirus pandemic has influenced their life (domain) satisfaction.

Methods

A cross-sectional survey was administrated to an online panel of the general public aged 65 years and older in Australia from 28 April to 26 May 2020. Life satisfaction was measured by the Personal Wellbeing Index (PWI, including both global life satisfaction and life domain satisfaction). A discrete choice experiment technique was used to elicit how respondents perceive the relative importance of six key life domains drawn from the PWI: standard of living, health, relationships, safety, community connectedness, and future security.

Results

A total of 1,056 respondents (53% female) with a mean (range) age of 73 (65–91) years old completed the survey. After controlling for a rich set of confounding factors, regardless of the choice of overall life satisfaction indicators, there were consistent findings that the strongest negative influence of COVID-19 on life domains and decrements on life satisfaction was for Personal Health, Personal Relationships and Standard of Living. The DCE data revealed that all six life domains were statistically significant in contributing to a better life, and there exists some preference heterogeneity between those who perceived no impact versus negative impacts from COVID-19.

Conclusions

From both revealed and stated preference data there was robust evidence that health, relationships, and standard of living represent the three most important life domains for older adults in Australia.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Voetnoten
1
During this period, the growth in COVID-19 cases stabilised at a low level (on average less than 20 new cases per day) but the economic and social impacts were extensive; more detailed conditions of COVID-19 pandemic in Australia for the recruitment period could be found at https://​www.​abs.​gov.​au/​articles/​measuring-impacts-covid-19-mar-may-2020 (Accessed 1 November 2021).
 
Literatuur
1.
go back to reference Whiteley, P., Clarke, H. D., Sanders, D., & Stewart, M. C. (2010). Government performance and life satisfaction in contemporary Britain. Journal of Politics, 72, 733–746.CrossRef Whiteley, P., Clarke, H. D., Sanders, D., & Stewart, M. C. (2010). Government performance and life satisfaction in contemporary Britain. Journal of Politics, 72, 733–746.CrossRef
2.
go back to reference Frey, B. S., & Stutzer, A. (2002). What can economists learn from happiness research? Journal of Economic Literature, 40, 402–435.CrossRef Frey, B. S., & Stutzer, A. (2002). What can economists learn from happiness research? Journal of Economic Literature, 40, 402–435.CrossRef
3.
go back to reference Diener, E., Inglehart, R., & Tay, L. (2013). Theory and validity of life satisfaction scales. Social Indicators Research, 112, 497–527.CrossRef Diener, E., Inglehart, R., & Tay, L. (2013). Theory and validity of life satisfaction scales. Social Indicators Research, 112, 497–527.CrossRef
4.
go back to reference van Praag, B. M. S., Frijters, P., & Ferrer-i-Carbonell, A. (2003). The anatomy of subjective well-being. Journal of Economic Behavior & Organization, 51, 29–49.CrossRef van Praag, B. M. S., Frijters, P., & Ferrer-i-Carbonell, A. (2003). The anatomy of subjective well-being. Journal of Economic Behavior & Organization, 51, 29–49.CrossRef
5.
go back to reference Easterlin, R. A. (2006). Life cycle happiness and its sources: Intersections of psychology, economics, and demography. Journal of Economic Psychology, 27, 463–482.CrossRef Easterlin, R. A. (2006). Life cycle happiness and its sources: Intersections of psychology, economics, and demography. Journal of Economic Psychology, 27, 463–482.CrossRef
6.
go back to reference McAdams, K. K., Lucas, R. E., & Donnellan, M. B. (2012). The role of domain satisfaction in explaining the paradoxical association between life satisfaction and age. Social Indicators Research, 109, 295–303.CrossRef McAdams, K. K., Lucas, R. E., & Donnellan, M. B. (2012). The role of domain satisfaction in explaining the paradoxical association between life satisfaction and age. Social Indicators Research, 109, 295–303.CrossRef
7.
go back to reference Bardo, A. R. (2017). A life course model for a domains-of-life approach to happiness: Evidence from the United States. Advances in Life Course Research, 33, 11–22.CrossRef Bardo, A. R. (2017). A life course model for a domains-of-life approach to happiness: Evidence from the United States. Advances in Life Course Research, 33, 11–22.CrossRef
8.
go back to reference Larkin, M. (2013). Health and well-being across the life course. Sage Publications.CrossRef Larkin, M. (2013). Health and well-being across the life course. Sage Publications.CrossRef
9.
go back to reference Bowling, A., Gabriel, Z., Dykes, J., Dowding, L. M., Evans, O., Fleissig, A., et al. (2003). Let’s ask them: A national survey of definitions of quality of life and its enhancement among people aged 65 and over. The International Journal of Aging and Human Development, 56, 269–306.CrossRef Bowling, A., Gabriel, Z., Dykes, J., Dowding, L. M., Evans, O., Fleissig, A., et al. (2003). Let’s ask them: A national survey of definitions of quality of life and its enhancement among people aged 65 and over. The International Journal of Aging and Human Development, 56, 269–306.CrossRef
10.
go back to reference Douma, L., Steverink, N., Hutter, I., & Meijering, L. (2017). Exploring subjective well-being in older age by using participant-generated word clouds. The Gerontologist, 57, 229–239.PubMed Douma, L., Steverink, N., Hutter, I., & Meijering, L. (2017). Exploring subjective well-being in older age by using participant-generated word clouds. The Gerontologist, 57, 229–239.PubMed
11.
go back to reference Galea, S., Merchant, R. M., & Lurie, N. (2020). The mental health consequences of COVID-19 and physical distancing: The need for prevention and early intervention. JAMA Internal Medicine, 180, 817–818.CrossRef Galea, S., Merchant, R. M., & Lurie, N. (2020). The mental health consequences of COVID-19 and physical distancing: The need for prevention and early intervention. JAMA Internal Medicine, 180, 817–818.CrossRef
14.
go back to reference Brooke, J., & Jackson, D. (2020). Older people and COVID-19: Isolation, risk and ageism. Journal of Clinical Nursing, 29, 2044–2046.CrossRef Brooke, J., & Jackson, D. (2020). Older people and COVID-19: Isolation, risk and ageism. Journal of Clinical Nursing, 29, 2044–2046.CrossRef
15.
go back to reference Armitage, R., & Nellums, L. B. (2020). COVID-19 and the consequences of isolating the elderly. The Lancet Public health, 5, e256.CrossRef Armitage, R., & Nellums, L. B. (2020). COVID-19 and the consequences of isolating the elderly. The Lancet Public health, 5, e256.CrossRef
16.
go back to reference Kivi, M., Hansson, I., Bjälkebring, P. (2020). Up and about: Older adults’ well-being during the COVID-19 pandemic in a Swedish longitudinal study. Journals of Gerontology: Series B, gbaa084. Kivi, M., Hansson, I., Bjälkebring, P. (2020). Up and about: Older adults’ well-being during the COVID-19 pandemic in a Swedish longitudinal study. Journals of Gerontology: Series B, gbaa084.
17.
go back to reference Stolk, E. A., Oppe, M., Scalone, L., & Krabbe, P. F. M. (2010). Discrete choice modeling for the quantification of health states: The case of the EQ-5D. Value in Health, 13, 1005–1013.CrossRef Stolk, E. A., Oppe, M., Scalone, L., & Krabbe, P. F. M. (2010). Discrete choice modeling for the quantification of health states: The case of the EQ-5D. Value in Health, 13, 1005–1013.CrossRef
18.
go back to reference Mulhern, B., Norman, R., De Abreu Lourenco, R., Malley, J., Street, D., & Viney, R. (2019). Investigating the relative value of health and social care related quality of life using a discrete choice experiment. Social Science & Medicine, 233, 28–37.CrossRef Mulhern, B., Norman, R., De Abreu Lourenco, R., Malley, J., Street, D., & Viney, R. (2019). Investigating the relative value of health and social care related quality of life using a discrete choice experiment. Social Science & Medicine, 233, 28–37.CrossRef
19.
go back to reference Royal, K. (2019). Survey research methods: A guide for creating post-stratification weights to correct for sample bias. Education in the Health Professions, 2, 48–50.CrossRef Royal, K. (2019). Survey research methods: A guide for creating post-stratification weights to correct for sample bias. Education in the Health Professions, 2, 48–50.CrossRef
20.
go back to reference Cummins, R. A. (1998). The second approximation to an international standard for life satisfaction. Social Indicators Research, 43, 307–334.CrossRef Cummins, R. A. (1998). The second approximation to an international standard for life satisfaction. Social Indicators Research, 43, 307–334.CrossRef
21.
go back to reference International Wellbeing Group. (2013). Personal wellbeing index (5th ed.). Australian Centre on Quality of Life, Deakin University. International Wellbeing Group. (2013). Personal wellbeing index (5th ed.). Australian Centre on Quality of Life, Deakin University.
24.
go back to reference Dohmen, T., Huffman, D., Schupp, J., Falk, A., Sunde, U., & Wagner, G. G. (2011). Individual risk attitudes: Measurement, determinants, and behavioral consequences. Journal of the European Economic Association, 9, 522–550.CrossRef Dohmen, T., Huffman, D., Schupp, J., Falk, A., Sunde, U., & Wagner, G. G. (2011). Individual risk attitudes: Measurement, determinants, and behavioral consequences. Journal of the European Economic Association, 9, 522–550.CrossRef
25.
go back to reference Sinclair, V. G., & Wallston, K. A. (2004). The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment, 11, 94–101.CrossRef Sinclair, V. G., & Wallston, K. A. (2004). The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment, 11, 94–101.CrossRef
26.
go back to reference Australian Bureau of Statistics. (2018). Technical paper: Socio-Economic Indexes for Areas (SEIFA) 2016. ABS Catalogue No. 2033.0.55.001. Canberra: Commonwealth of Australia. Australian Bureau of Statistics. (2018). Technical paper: Socio-Economic Indexes for Areas (SEIFA) 2016. ABS Catalogue No. 2033.0.55.001. Canberra: Commonwealth of Australia.
27.
go back to reference ChoiceMetrics. (2018). Ngene 1.2 user manual & reference guide. ChoiceMetrics. ChoiceMetrics. (2018). Ngene 1.2 user manual & reference guide. ChoiceMetrics.
28.
go back to reference Louviere, J. J., Hensher, D. A., & Swait, J. D. (2000). Stated choice methods: Analysis and applications. Cambridge University Press.CrossRef Louviere, J. J., Hensher, D. A., & Swait, J. D. (2000). Stated choice methods: Analysis and applications. Cambridge University Press.CrossRef
29.
go back to reference Hole, A. R. (2007). Fitting mixed logit models by using maximum simulated likelihood. Stata Journal, 7, 388–401.CrossRef Hole, A. R. (2007). Fitting mixed logit models by using maximum simulated likelihood. Stata Journal, 7, 388–401.CrossRef
30.
go back to reference Schildberg-Hörisch, H. (2018). Are risk preferences stable? Journal of Economic Perspectives, 32, 135–154.CrossRef Schildberg-Hörisch, H. (2018). Are risk preferences stable? Journal of Economic Perspectives, 32, 135–154.CrossRef
31.
go back to reference Decker, S., & Schmitz, H. (2016). Health shocks and risk aversion. Journal of Health Economics, 50, 156–170.CrossRef Decker, S., & Schmitz, H. (2016). Health shocks and risk aversion. Journal of Health Economics, 50, 156–170.CrossRef
32.
go back to reference Tausch, F., & Zumbuehl, M. (2018). Stability of risk attitudes and media coverage of economic news. Journal of Economic Behavior & Organization, 150, 295–310.CrossRef Tausch, F., & Zumbuehl, M. (2018). Stability of risk attitudes and media coverage of economic news. Journal of Economic Behavior & Organization, 150, 295–310.CrossRef
33.
go back to reference Henchoz, Y., Meylan, L., Goy, R., Guessous, I., Bula, C., Demont, M., et al. (2015). Domains of importance to the quality of life of older people from two Swiss regions. Age and Ageing, 44, 979–985.CrossRef Henchoz, Y., Meylan, L., Goy, R., Guessous, I., Bula, C., Demont, M., et al. (2015). Domains of importance to the quality of life of older people from two Swiss regions. Age and Ageing, 44, 979–985.CrossRef
34.
go back to reference Matthijsse, S. M., & LeeuwHoxLeeuw, EDd. J. J. (2015). Internet panels, professional respondents, and data quality. Methodology, 11, 81–88.CrossRef Matthijsse, S. M., & LeeuwHoxLeeuw, EDd. J. J. (2015). Internet panels, professional respondents, and data quality. Methodology, 11, 81–88.CrossRef
35.
go back to reference Richardson, J., Chen, G., Khan, M. A., & Iezzi, A. (2015). Can multi-attribute utility instruments adequately account for subjective well-being? Medical Decision Making, 35, 292–304.CrossRef Richardson, J., Chen, G., Khan, M. A., & Iezzi, A. (2015). Can multi-attribute utility instruments adequately account for subjective well-being? Medical Decision Making, 35, 292–304.CrossRef
36.
go back to reference Ratcliffe, J., Huynh, E., Chen, G., Stevens, K., Swait, J., Brazier, J., et al. (2016). Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm. Social Science & Medicine, 157, 48–59.CrossRef Ratcliffe, J., Huynh, E., Chen, G., Stevens, K., Swait, J., Brazier, J., et al. (2016). Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm. Social Science & Medicine, 157, 48–59.CrossRef
37.
go back to reference Blome, C., & Augustin, M. (2015). Measuring change in quality of life: Bias in prospective and retrospective evaluation. Value in Health, 18(1), 110–115.CrossRef Blome, C., & Augustin, M. (2015). Measuring change in quality of life: Bias in prospective and retrospective evaluation. Value in Health, 18(1), 110–115.CrossRef
38.
go back to reference Wu, J., Xie, S., He, X., Chen, G., Bai, G., Feng, D., et al. (2021). Valuation of SF-6Dv2 health states in China using time trade-off and discrete-choice experiment with a duration dimension. PharmacoEconomics, 39, 521–535.CrossRef Wu, J., Xie, S., He, X., Chen, G., Bai, G., Feng, D., et al. (2021). Valuation of SF-6Dv2 health states in China using time trade-off and discrete-choice experiment with a duration dimension. PharmacoEconomics, 39, 521–535.CrossRef
Metagegevens
Titel
How is your life? understanding the relative importance of life domains amongst older adults, and their associations with self-perceived COVID-19 impacts
Auteurs
Gang Chen
Jan Abel Olsen
Publicatiedatum
06-01-2022
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 8/2022
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-021-03043-5

Andere artikelen Uitgave 8/2022

Quality of Life Research 8/2022 Naar de uitgave