Validation of the ALONE Scale: A Clinical Measure of Loneliness

J Nutr Health Aging. 2022;26(5):421-424. doi: 10.1007/s12603-022-1794-8.

Abstract

Objectives: This study aimed to examine the validity and reliability of a rapid, clinically administrable loneliness screening tool for older adults called the ALONE scale.

Design: This was a cross-sectional study.

Setting: Participants were recruited from either ambulatory clinics or a nursing home.

Participants: Participants were 65 years of age or older and had SLUMS scores of 14 or greater.

Measurements: Construct validity of the 5-item ALONE scale was examined through correlation with the previously validated UCLA-20 Loneliness Questionnaire. Divergent validity for discriminating between loneliness and depression was examined through correlation with the PHQ-8 items. Test-retest reliability was assessed by correlation between baseline ALONE scores and those from re-administration in 2-3 weeks.

Results: Among ambulatory clinic participants (n=199), the ALONE scale showed strong correlation with the UCLA-20 (r=0.81, p < 0.001). Similar correlation coefficients were seen among demographic subgroups: White Americans (n=123) (r=0.81, p < 0.001), Black Americans (n=66) (r=0.79, p < 0.001), adults ≥ 75 years (n=74) (r=0.86, p < 0.001). Among nursing home patients (n=22), the ALONE scale showed fair correlation with the UCLA-20 (r=0.74, p < 0.001). Test-retest of the ALONE scale showed a strong correlation (r=0.89, p < 0.001). ROC curve analysis determined ALONE scale scores of 8 and greater as optimal for severe loneliness screening.

Conclusion: This study shows that the ALONE scale has strong validity in assessing older adults for severe loneliness. The brief, comprehensible nature of the ALONE scale reduces adoption burden making it optimal for use in clinical settings.

Keywords: Loneliness; geriatric assessments; interpersonal relations; reliability and validity.

MeSH terms

  • Aged
  • Cross-Sectional Studies
  • Humans
  • Loneliness*
  • Psychometrics
  • Reproducibility of Results
  • Surveys and Questionnaires