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      High Prevalence and Adverse Health Effects of Loneliness in Community-dwelling Adults Across the Lifespan: Role of Wisdom as a Protective Factor

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          Abstract

          Objectives:

          This study of loneliness across adult lifespan examined its associations with sociodemographics, mental health (positive and negative psychological states and traits), subjective cognitive complaints, and physical functioning.

          Design:

          Secondary analysis of cross-sectional data

          Participants:

          340 community-dwelling adults in San Diego, California, mean age 62 (SD = 18) years, range 27–101 years, who participated in three community-based studies

          Measurements:

          Loneliness measures included UCLA Loneliness Scale Version 3 (UCLA-3), 4-item Patient-Reported Outcomes Measurement Information System (PROMIS) Social Isolation Scale, and a single-item measure from the Center for Epidemiologic Studies Depression (CESD) scale. Other measures included the San Diego Wisdom Scale (SD-WISE) and Medical Outcomes Survey- Short form 36.

          Results:

          The different measures of loneliness were highly correlated. 76% of subjects had moderate-high levels of loneliness on UCLA-3, using standardized cut-points. Loneliness was correlated with worse mental health and inversely with positive psychological states/traits. Even moderate severity of loneliness was associated with worse mental and physical functioning. Loneliness severity and age had a complex relationship, with increased loneliness in the late-20s, mid-50s, and late-80s. There were no sex differences in loneliness prevalence, severity, and age relationships. The best-fit multiple regression model accounted for 45% of the variance in UCLA-3 scores, and three factors emerged with small-medium effect sizes: wisdom, living alone and mental well-being.

          Conclusions:

          The alarmingly high prevalence of loneliness and its association with worse health-related measures underscore major challenges for society. The non-linear age-loneliness severity relationship deserves further study. The strong negative association of wisdom with loneliness highlights the potentially critical role of wisdom as a target for psychosocial/behavioral interventions to reduce loneliness. Building a wiser society may help us develop a more connected, less lonely, and happier society.

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          Author and article information

          Journal
          9007918
          1188
          Int Psychogeriatr
          Int Psychogeriatr
          International psychogeriatrics
          1041-6102
          1741-203X
          17 February 2019
          October 2019
          01 April 2020
          : 31
          : 10
          : 1447-1462
          Affiliations
          [1 ]Department of Psychiatry, University of California San Diego, La Jolla, CA, United States
          [2 ]Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
          [3 ]IBM-UCSD Artificial Intelligence for Healthy Living Center, La Jolla, CA, United States
          [4 ]Veterans Affairs San Diego Healthcare System, San Diego, CA, United States
          [5 ]Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States.
          [6 ]Accessibility Research, IBM Research Division, San Jose, CA, United States
          [7 ]Accessibility Research, IBM Research Division, Yorktown Heights, NY, United States
          [8 ]Accessibility and Aging, IBM Research Division, Tokyo, Japan
          [9 ]Department of Neurosciences, University of California San Diego, La Jolla, CA, United States.
          Author notes

          Description of Author’s Roles:

          E.E. Lee conducted the literature searches and data analyses and wrote the first draft of the manuscript. C. Depp and D. Glorioso were involved with study design of the cohorts, data collection as well as data interpretation.B.W. Palmer was involved with designing two of the three parent studies, data analyses and interpretation. R. Daly was involved with database management, data analyses and interpretation. J. Liu and X.M. Tu were involved in data analyses and interpretation. H.C. Kim, P. Tarr, and Y. Yamada were involved with study design of the senior housing study, data analyses and data interpretation. D.V. Jeste designed the study and was involved in the data analyses and interpretation. All authors contributed to and have approved the final manuscript.

          [* ] Corresponding author: Dilip V. Jeste, MD, Senior Associate Dean for Healthy Aging and Senior Care, Distinguished Professor of Psychiatry and Neurosciences, Estelle and Edgar Levi Chair in Aging, Director, Sam and Rose Stein Institute for Research on Aging, University of California, San Diego, Co-Director of IBM-UCSD Artificial Intelligence for Healthy Living Center, 9500 Gilman Drive #0664, La Jolla, CA 92023-0664, Fax: (858) 534-5475, Telephone: (858) 534-4020, djeste@ 123456ucsd.edu
          Article
          PMC6581650 PMC6581650 6581650 nihpa1511970
          10.1017/S1041610218002120
          6581650
          30560747
          b03c6c09-5956-44d5-9d35-dfef06a2b091
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