Evidence map›Paper›PMID 42735388›Full record

ArticleAge and ageing2026

Association between loneliness and incident use of benzodiazepines and opioids: analyses of the Canadian Longitudinal Study on Aging.

Jennifer A Watt, Shristi Sharma, Yu Qing Huang, Aaron Jones, Kathryn Nicholson, Amy Y X Yu, Sharon Straus, Michael Tyler Dipaolo, Moira K Kapral, Manav V Vyas

Abstract read
In one paragraph

Article in Age and ageing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jennifer A WattSt. Michael's Hospital-Unity Health Toronto, Toronto, Canada.
Shristi SharmaSt. Michael's Hospital-Unity Health Toronto, Toronto, Canada.
Yu Qing HuangSt. Michael's Hospital-Unity Health Toronto, Toronto, Canada.ORCID 0000-0003-1006-5118
Aaron JonesDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-6282-3614
Kathryn NicholsonDepartment of Epidemiology and Biostatistics-Epidemiology & Biostatistics, Schulich School of Medicine and Dentistry, London, Ontario, Canada.
Amy Y X YuDepartment of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Sharon StrausDivision of Geriatric Medicine, University of Toronto-Medicine, Toronto, Ontario, Canada.
Michael Tyler DipaoloThe Royal College of Surgeons in Ireland -Bahrain, Manama, Bahrain.
Moira K KapralDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Manav V VyasSt. Michael's Hospital-Unity Health Toronto, Toronto, Canada.ORCID 0000-0002-2953-2540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between loneliness and incident use of benzodiazepines and opioids, and sociodemographic factors associated with their use, is unknown.

methodsUsing the Canadian Longitudinal Study on Aging's comprehensive cohort, we conducted a longitudinal study to understand how loneliness was associated with incident use of benzodiazepines and opioids, separately, using multivariable modified logistic regression models. We evaluated sociodemographic factors associated with benzodiazepine and opioid use among lonely participants.

resultsWe included 29 976 participants, of whom 10.8% were lonely (all the time or occasionally) at baseline. Lonely participants were older [mean age 64.4, standard deviation (SD) 10.5 vs. mean age 62.8, SD 10.2] and more likely to be female (57.9% vs. 50.1%) and live alone (45.2% vs. 19.9%) than participants who were not lonely. Lonely participants had a higher rate of incident use of benzodiazepines [73 (2.8%) vs. 305 (1.3%); adjusted odds ratio (aOR) 1.94, 95% confidence interval (95% CI) 1.47-2.57] and opioids [60 (2.2%) vs. 283 (1.2%); aOR 1.43, 95% CI 1.05-1.93] compared to those who were not lonely. Loneliness remained significantly associated with use of benzodiazepines, but not opioids, after adjusting for mood and anxiety disorders. Lonely females and non-Whites were more likely to be initiated on benzodiazepines, whereas lonely immigrants were less likely to be initiated on benzodiazepines.

conclusionsLoneliness was associated with incident use of benzodiazepines and opioids. Multimodal interventions to deprescribe these medications in lonely individuals and decrease symptoms of loneliness could mitigate their attendant health effects.

Indexed as

AgingAnalgesics, OpioidBenzodiazepinesLonelinessAgedAge FactorsCanadaCanadian Longitudinal Study on AgingFemaleHumansIncidenceLogistic ModelsLongitudinal StudiesMaleMiddle AgedMultivariate AnalysisAnalgesics, OpioidBenzodiazepinesbenzodiazepineCLSAlonelinessmedicationsolder peopleopioid

Identifiers

PMID42735388
PMCPMC13574281

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.