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Determinants of Subjective Wellbeing Trajectories in Older Adults: A Growth Mixture Modeling Approach

Darío Moreno-Agostino, Alejandro de la Torre-Luque, Javier de la Fuente, Elvira Lara, Natalia Martín-María, Maria Victoria Moneta, Ivet Bayés, Beatriz Olaya, Josep Maria Haro, Marta Miret () and José Luis Ayuso-Mateos
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Darío Moreno-Agostino: Universidad Autónoma de Madrid
Alejandro de la Torre-Luque: Universidad Autónoma de Madrid
Javier de la Fuente: Universidad Autónoma de Madrid
Elvira Lara: Universidad Autónoma de Madrid
Natalia Martín-María: Universidad Autónoma de Madrid
Maria Victoria Moneta: Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
Ivet Bayés: Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
Beatriz Olaya: Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
Josep Maria Haro: Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
Marta Miret: Universidad Autónoma de Madrid
José Luis Ayuso-Mateos: Universidad Autónoma de Madrid

Journal of Happiness Studies, 2021, vol. 22, issue 2, No 10, 709-726

Abstract: Abstract Subjective wellbeing (SWB) is a core component of healthy aging to be promoted among older adults. This study aims to analyze whether there are subgroups with different trajectories in the main components of SWB (i.e. positive affect, negative affect, and life satisfaction) within the older population, and identify potential determinants of these heterogeneous trajectories. We analyzed data on 1,189 Spanish older adults aged 50 +, collected as part of a nationwide representative longitudinal survey. We used a growth mixture modeling approach to identify heterogeneous trajectories within each SWB component, and logistic and multinomial regressions to explore the associated determinants. In addition to a predominant trajectory with above neutral, relatively stable scores on each SWB outcome, we found an additional trajectory with worse scores throughout all older adulthood for all SWB components, alongside a trajectory with a better life satisfaction. Depression, loneliness, disability, income, education, marital status, physical activity, and occupational status were found to be significant determinants of the membership to different trajectories. Our results suggest that there is no unitary trajectory of SWB in the older population regarding any of its components. Moreover, they point at the appropriateness of programs aimed at promoting or counteracting the aspects that may respectively prevent or facilitate pertaining to the trajectories with worst long-term outcomes as an effective way of enhancing healthy aging.

Keywords: Latent class; Day reconstruction method; Healthy aging; Longitudinal study (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10902-020-00248-2

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