abedini et al w4
Clinical Investigation: The Relationship of Loneliness to End-of-Life Experience in Older Americans: A Cohort Study
Authors
Nauzley C. Abedini, MD, MSc
HwaJung Choi, PhD
Melissa Y. Wei, MD, MPH, MS
Kenneth M. Langa, MD, PhD
Vineet Chopra, MD, MSc
Objectives
Investigate the relationship between loneliness and end-of-life (EOL) experience, including:
Symptom burden
Intensity of care
Advance care planning
among older adults.
Design
Study Type: Secondary analysis of the Health and Retirement Study (HRS)
Setting: Population-based
Participants: Decedents aged over 50 years who died between 2004-2014 (n = 8700)
Exclusions:
2932 individuals ineligible for loneliness surveys
2872 individuals with missing or incomplete loneliness or symptom data
Measurements
Loneliness determined via the three-item Revised UCLA Loneliness Scale from the most recent HRS survey before death
Outcomes reported by proxies for:
Total EOL symptom burden
Intensity of EOL care (e.g., late hospice enrollment, place of death, hospitalizations, use of life support)
Advance care planning
Results expressed as adjusted odds ratios (aORs) with 95% confidence intervals (CIs)
Results
Loneliness Prevalence: One-third of the 2896 decedents (n = 942) were identified as lonely.
Impact on EOL Symptom Burden: After adjusting for demographics and various social factors:
Loneliness correlated with greater total symptom burden at EOL (ß = .13; P = .004).
Use of Life Support: Lonely decedents more likely to have used life support in the last two years:
35.5% lonely decedents vs 29.4% nonlonely (aOR = 1.36; 95% CI = 1.08-1.71)
Place of Death: More lonely individuals died in nursing homes:
18.4% lonely vs 14.2% nonlonely (aOR = 1.78; 95% CI = 1.30-2.42)
No Significant Differences: In other measures of intense care or likelihood of advance care planning.
Conclusion
Loneliness in older individuals can lead to increased symptom burden and exposure to more intense EOL care.
Calls for interventions to screen, prevent, and mitigate loneliness during the EOL phase.
Key Terms
Loneliness: Subjective feeling of isolation, lack of belonging, or companionship.
Affects approximately 40% of older adults and is linked to poor health outcomes:
Depression
Accelerated functional and cognitive decline
Early mortality.
Social Determinants of Health: Importance of loneliness emphasized in screening recommendations by:
National Academies of Sciences
Centers for Medicare & Medicaid Services.
Understanding Loneliness and EOL Outcomes
Common EOL challenges:
Role transitions
Shrinking social networks
Increased multimorbidity
Associated negative health outcomes may include:
Burden at EOL
Intense EOL care impact, potentially causing suffering for individuals and families.
Study Methodology
Data Source and Study Participants
HRS: Longitudinal survey for adults aged 51 and older, conducted biannually.
Sample: Individuals who died from 2004-2014; 2896 eligible decedents after exclusions.
Predictor Variable: Loneliness
Loneliness assessed via the 3-item Revised UCLA Loneliness Scale with responses indicating feelings of:
Being left out
Feeling isolated
Lacking companionship.
Classification of loneliness:
Nonlonely: Average score of 1.9 or less
Lonely: Average score of 2.0 or more.
Reliability: Cronbach's α = .81
Primary Outcome: Total Symptom Burden
Proxy reports on symptoms in the last year of life:
Items assessed included pain, difficulty breathing, severe fatigue, etc.
Composite scale created to evaluate total symptom burden, using:
Factor analysis (Eigenvalue > 1.0) and predictive regression models (Cronbach's α = .65).
Secondary Outcomes
Intensity of EOL care and advance care planning measured through:
Late hospice referral
Place of death (home, hospital, nursing home)
Use of life support and dialysis.
Covariates Considered
Demographics: Age at death, sex, race, education, income, employment status
Multimorbidity: Weighted index via self-reported chronic conditions
Depressive Symptoms: Measured with CES-D with adjusted scoring
Social Support: Relying on partner, children, friends for serious problems
Statistical Analysis
Utilized survey weights to adjust for design complexity during analyses.
Compared lonely and nonlonely participant characteristics using:
χ2 tests for categorical variables
t-tests for continuous variables
Statistical significance set at P < .05
Examinations: Loneliness related to individual symptoms via logistic regression and total symptom burden via multivariable regression.
Results Summary
Overall characteristics and differences between lonely and nonlonely decedents summarized (n = 2986 subject to various factors).
Notably higher symptoms reported by lonely decedents.
Discussion of Findings
Symptom Burden: Lonely individuals statistically associated with greater symptom burden.
EOL Care: Increased likelihood of aggressive interventions among lonely decedents without significant differences in advance care planning measures.
Policy Implications: Focus on identifying and addressing loneliness through screening and interdisciplinary interventions during EOL.
Limitations and Considerations
Reliance on proxies may introduce biases; variability in loneliness not accounted may influence findings.
Future studies needed to explore longitudinal interactions and refine loneliness measurements.