Trajectories in long-term condition accumulation and mortality in older adults: a group-based trajectory modelling approach using the English Longitudinal Study of Ageing

  • 0Primary Care Research Centre, University of Southampton, Southampton, UK.

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Summary

This summary is machine-generated.

Older adults develop long-term conditions (LTC) along distinct trajectories. Identifying these patterns helps predict mortality risk and tailor interventions for better health outcomes.

Area Of Science

  • Gerontology
  • Epidemiology
  • Public Health

Background

  • Multimorbidity, the presence of multiple long-term conditions (LTCs), is a growing concern in aging populations.
  • Understanding the trajectories of LTC accumulation is crucial for effective healthcare planning and intervention.

Purpose Of The Study

  • To classify older adults into distinct clusters based on their long-term condition (LTC) accumulation trajectories.
  • To characterize these clusters and quantify their association with all-cause mortality.

Main Methods

  • A longitudinal study using the English Longitudinal Study of Ageing (ELSA) with 15,091 participants aged 50+ over 9 years.
  • Group-based trajectory modeling was employed to identify LTC accumulation patterns.
  • Regression models were used to assess associations between trajectory membership, sociodemographics, and mortality.

Main Results

  • Five distinct LTC trajectories were identified: 'no LTC', 'single LTC', 'evolving multimorbidity', 'moderate multimorbidity', and 'high multimorbidity'.
  • Older age and ethnic minority status were associated with higher multimorbidity trajectories.
  • Higher education and employment correlated with a lower likelihood of accumulating multiple LTCs.
  • All identified LTC trajectories were associated with increased all-cause mortality compared to the 'no LTC' group.

Conclusions

  • Multimorbidity development follows distinct trajectories influenced by age, ethnicity, education, and employment.
  • Risk stratification using these trajectories can identify older adults at higher risk of worsening LTC.
  • Tailored interventions based on identified trajectories can potentially prevent mortality in older adults.

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