Show simple item record

Social isolation trajectories in midlife and later-life: patterns and associations with health

dc.contributor.authorLuo, Mengsha
dc.contributor.authorLi, Lydia
dc.date.accessioned2022-05-06T17:26:33Z
dc.date.available2023-06-06 13:26:32en
dc.date.available2022-05-06T17:26:33Z
dc.date.issued2022-05
dc.identifier.citationLuo, Mengsha; Li, Lydia (2022). "Social isolation trajectories in midlife and later-life: patterns and associations with health." International Journal of Geriatric Psychiatry 37(5): n/a-n/a.
dc.identifier.issn0885-6230
dc.identifier.issn1099-1166
dc.identifier.urihttps://hdl.handle.net/2027.42/172272
dc.description.abstractObjectivesSocial isolation has objective and subjective dimensions. Few studies have simultaneously examined trajectories of both dimensions. We integrated multiple indicators of both dimensions to identify social isolation trajectory patterns and investigated how different patterns were related to adults’ physical, mental, cognitive, and self-rated health.MethodsWe used latent class growth modeling to examine social isolation trajectory patterns, based on data from the 2008—2016 waves of the Health and Retirement Study (N = 6457). Mixed-effect linear models were used to examine how trajectory patterns were associated with functional limitations, depressive symptoms, memory deficits, and self-rated health over the 8-year study period.ResultsFour social isolation trajectory patterns were identified: severe isolation (15.4%), moderate isolation (37.6%), some objective and rare subjective isolation (35.4%), and rare objective and low subjective isolation (11.6%). Social isolation trajectory patterns showed a gradient in all health domains. The rare objective and low subjective isolation group had the best health (i.e., the fewest functional limitations, depressive symptoms, and memory deficits and the best self-rated health); the some objective and rare subjective isolation group had the next best health; the moderate isolation group had the second worst health; and the severe isolation group had the worst health.ConclusionsThe prevalence and stability of severe and moderate social isolation suggest it may be necessary to address social isolation at the national level. The most favorable health outcomes associated with the rare objective and low subjective isolation group supports interventions to strengthen social networks and engagement midlife and later-life.Key pointsObjective social isolation and subjective social isolation are interrelated but different conceptsThis study conceptualizes social isolation as a multi-dimensional construct by considering objective isolation and subjective isolation simultaneouslyFour distinct patterns of social isolation trajectories are identifiedEstimates of the prevalence of severe isolation and moderate isolation among Americans aged over 50 years are 15.4% and 37.6%
dc.publisherWiley Periodicals, Inc.
dc.publisherAARP Foundation
dc.subject.otherlatent class growth modeling
dc.subject.otherloneliness
dc.subject.otherHRS
dc.subject.othersocial disconnectedness
dc.titleSocial isolation trajectories in midlife and later-life: patterns and associations with health
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelWomen’s and Gender Studies
dc.subject.hlbsecondlevelSocial Work
dc.subject.hlbsecondlevelPsychiatry
dc.subject.hlbsecondlevelPharmacy and Pharmacology
dc.subject.hlbsecondlevelJudaic Studies
dc.subject.hlbsecondlevelInternal Medicine and Specialties
dc.subject.hlbsecondlevelGeriatrics
dc.subject.hlbsecondlevelGay/Lesbian/Bisexual/Transgender Studies
dc.subject.hlbtoplevelHealth Sciences
dc.subject.hlbtoplevelSocial Sciences
dc.subject.hlbtoplevelHumanities
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172272/1/gps5715_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172272/2/gps5715.pdf
dc.identifier.doi10.1002/gps.5715
dc.identifier.sourceInternational Journal of Geriatric Psychiatry
dc.identifier.citedreferenceZajacova A, Huzurbazar S, Todd M. Gender and the structure of self-rated health across the adult life span. Soc Sci Med. 2017; 187: 58 - 66.
dc.identifier.citedreferenceMcHugh JE, Kenny RA, Lawlor BA, Steptoe A, Kee F. The discrepancy between social isolation and loneliness as a clinically meaningful metric: findings from the Irish and English longitudinal studies of ageing (TILDA and ELSA). Int J Geriatr Psychiatry. 2017; 32 ( 6 ): 664 - 674.
dc.identifier.citedreferenceHawkley LC, Wroblewski K, Kaiser T, Luhmann M, Schumm LP. Are US older adults getting lonelier? Age, period, and cohort differences. Psychol Aging. 2019; 34 ( 8 ): 1144 - 1157.
dc.identifier.citedreferenceSuanet B, van Tilburg TG. Loneliness declines across birth cohorts: the impact of mastery and self-efficacy. Psychol Aging. 2019; 34 ( 8 ): 1134 - 1143.
dc.identifier.citedreferenceXiang X, Lai PHL, Bao L, et al. Dual trajectories of social isolation and dementia in older adults: a population-based longitudinal study. J Aging Health. 2021; 33 ( 1-2 ): 63 - 74.
dc.identifier.citedreferenceEvans IEM, Martyr A, Collins R, Brayne C, Clare L. Social isolation and cognitive function in later life: a systematic review and meta-analysis. J Alzheimers Dis. 2019; 70: S119 - S144.
dc.identifier.citedreferenceHolt-Lunstad J, Smith TB, Baker M, Harris T, Stephenson D. Loneliness and social isolation as risk factors for mortality: a meta-analytic review. Perspect Psychol Sci. 2015; 10 ( 2 ): 227 - 237.
dc.identifier.citedreferenceKuiper JS, Zuidersma M, Oude Voshaar RC, et al. Social relationships and risk of dementia: a systematic review and meta-analysis of longitudinal cohort studies. Ageing Res Rev. 2015; 22: 39 - 57.
dc.identifier.citedreferenceLeigh-Hunt N, Bagguley D, Bash K, et al. An overview of systematic reviews on the public health consequences of social isolation and loneliness. Public Health. 2017; 152: 157 - 171.
dc.identifier.citedreferenceMushtaq R, Shoib S, Shah T, Mushtaq S. Relationship between loneliness, psychiatric disorders and physical health? A review on the psychological aspects of loneliness. J Clin Diagn Res. 2014; 8 ( 9 ): WE01 - WE04.
dc.identifier.citedreferenceValtorta NK, Kanaan M, Gilbody S, Ronzi S, Hanratty B. Loneliness and social isolation as risk factors for coronary heart disease and stroke: systematic review and meta-analysis of longitudinal observational studies. Heart. 2016; 102 ( 13 ): 1009 - 1016.
dc.identifier.citedreferenceCornwell EY, Waite LJ. Social disconnectedness, perceived isolation, and health among older adults. J Health Soc Behav. 2009; 50 ( 1 ): 31 - 48.
dc.identifier.citedreferenceSantini ZI, Jose PE, York Cornwell E, et al. Social disconnectedness, perceived isolation, and symptoms of depression and anxiety among older Americans (NSHAP): a longitudinal mediation analysis. Lancet Public Health. 2020; 5 ( 1 ): e62 - e70.
dc.identifier.citedreferenceSutin AR, Stephan Y, Luchetti M, Terracciano A. Loneliness and risk of dementia. J Gerontol B Psychol Sci Soc Sci. 2020; 75 ( 7 ): 1414 - 1422.
dc.identifier.citedreferenceHawkley LC, Browne MW, Cacioppo JT. How can I connect with thee? let me count the ways. Psychol Sci. 2005; 16 ( 10 ): 798 - 804.
dc.identifier.citedreferenceRosow I, Breslau N. A Guttman health scale for the aged. J Gerontol. 1966; 21: 556 - 559.
dc.identifier.citedreferenceRadloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977; 1 ( 3 ): 385 - 401.
dc.identifier.citedreferenceEriksson I, Undén A-L, Elofsson S. Self-rated health. Comparisons between three different measures. Results from a population study. Int J Epidemiol. 2001; 30 ( 2 ): 326 - 333.
dc.identifier.citedreferenceAkaike H. Information measures and model selection. International Statistical Institute. 1983; 44: 277 - 291.
dc.identifier.citedreferenceSchwarz G. Estimating the dimension of a model. Ann Stat. 1978; 6 ( 2 ): 461 - 464.
dc.identifier.citedreferenceSclove SL. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika. 1987; 52 ( 3 ): 333 - 343.
dc.identifier.citedreferenceCeleux G, Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. J Classif. 1996; 13 ( 2 ): 195 - 212.
dc.identifier.citedreferenceNagin D. Group-based modeling of development. Harvard University Press; 2009.
dc.identifier.citedreferenceLo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture regression models. Biometrika. 2001; 88 ( 3 ): 767 - 778.
dc.identifier.citedreferenceJung T, Wickrama KA. An introduction to latent class growth analysis and growth mixture modeling. Soc Personal Psychol Compass. 2008; 2 ( 1 ): 302 - 317.
dc.identifier.citedreferenceRam N, Grimm KJ. Methods and measures: growth mixture modeling: a method for identifying differences in longitudinal change among unobserved groups. Int J Behav Dev. 2009; 33 ( 6 ): 565 - 576.
dc.identifier.citedreferenceMuthén LK, Muthén BO. Mplus user’s guide. 8th ed. Muthén & Muthén; 1998-2017.
dc.identifier.citedreferenceStata Corp. Stata statistical software: release 16. StataCorp LLC; 2019.
dc.identifier.citedreferenceArbuckle JL. Full information estimation in the presence of incomplete data. In: Marcoulides GA, Schumacker RE, eds. Advanced Structural Equation Modeling: Issues and techniques. Lawrence Erlbaum Associates, Inc.; 1996: 243 - 277.
dc.identifier.citedreferenceClark SL. Mixture modeling with behavioral data. University of California; 2010.
dc.identifier.citedreferenceCarstensen LL. Evidence for a life-span theory of socioemotional selectivity. Curr Dir Psychol Sci. 1995; 4 ( 5 ): 151 - 156.
dc.identifier.citedreferenceCornwell EY, Waite LJ. Measuring social isolation among older adults using multiple indicators from the NSHAP study. J Gerontol B Psychol Sci Soc Sci. 2009; 64B ( suppl_1 ): i38 - i46.
dc.identifier.citedreferenceAnderson GO, Thayer CE. Loneliness and social connections: a national survey of adults 45 and older. AARP Foundation. 2018.
dc.identifier.citedreferenceVanderWeele TJ, Hawkley LC, Cacioppo JT. On the reciprocal association between loneliness and subjective well-being. Am J Epidemiol. 2012; 176 ( 9 ): 777 - 784.
dc.identifier.citedreferenceCoyle CE, Dugan E. Social isolation, loneliness and health among older adults. J Aging Health. 2012; 24 ( 8 ): 1346 - 1363.
dc.identifier.citedreferenceCudjoe TKM, Roth DL, Szanton SL, Wolff JL, Boyd CM, Thorpe RJ, Jr. The epidemiology of social isolation: National Health and Aging Trends Study. J Gerontol B Psychol Sci Soc Sci. 2020; 75 ( 1 ): 107 - 113.
dc.identifier.citedreferencePohl JS, Cochrane BB, Schepp KG, Woods NF. Measuring social isolation in the National Health and Aging Trends Study. Res Gerontol Nurs. 2017; 10 ( 6 ): 277 - 287.
dc.identifier.citedreferencePerissinotto CM, Stijacic Cenzer I, Covinsky KE. Loneliness in older persons: a predictor of functional decline and death. Arch Intern Med. 2012; 172 ( 14 ): 1078 - 1084.
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.