Association of Pain, Insomnia, and Depressive Symptom Clusters with Cognitive Decline

Abstract Pain-Insomnia-and-Depression syndrome (PIDS) refers to the triad of chronic pain, sleep disturbances, and depressive symptoms disproportionately affecting older adults. Limited data exist on the rates and patterns of these symptom clusters and their association with cognitive function. Our objectives were to characterize symptom clusters of pain, insomnia, and depression and to examine their association with cognitive decline among middle-aged and older Americans. We used data from the Health and Retirement Study (2010-2018), a nationally representative longitudinal study of Americans over age 50 (n = 18,599). Latent class analysis identified clusters based on pain prevalence, insomnia, and depressive symptoms. Mixed-effects linear regression models examined the associations between these clusters and cognitive decline. Five clusters were identified: 1) minimal symptoms (56.90%), 2) moderate pain, low insomnia, low depressive symptoms (7.3%), 3) no pain, high insomnia, moderate depressive symptoms (6.4%), 4) high-impact pain, moderate insomnia, moderate depressive symptoms (11.8%), and 5) high-impact pain, high insomnia, high depressive symptoms (7.5%). Compared to those with minimal symptoms, individuals in the “no pain, high insomnia, and moderate depression” and “high-impact pain, moderate insomnia, and moderate depression” clusters experienced the fastest rates of cognitive decline (β= -0.07, 95% CI: -0.13, -0.01; β= -0.07, 95% CI: -0.11, -0.02, respectively). These results suggest a complex interplay among pain, insomnia, and depression, particularly in relation to the development of cognitive decline in older age. Screening for co-occurring symptoms may inform therapeutic clinical decision-making aimed at mitigating cognitive decline.

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Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.3543
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
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article

Association of Pain, Insomnia, and Depressive Symptom Clusters with Cognitive Decline

Tyler Bell, Sadaf Arefi Milani, Matthew Phan, Utpol Das et al.
Innovation in Aging
Sleep and related disorders
article

Association of Pain, Insomnia, and Depressive Symptom Clusters with Cognitive Decline

Tyler Bell, Sadaf Arefi Milani, Matthew Phan, Utpol Das, Mukaila Raji
article en

Abstract

Abstract Pain-Insomnia-and-Depression syndrome (PIDS) refers to the triad of chronic pain, sleep disturbances, and depressive symptoms disproportionately affecting older adults. Limited data exist on the rates and patterns of these symptom clusters and their association with cognitive function. Our objectives were to characterize symptom clusters of pain, insomnia, and depression and to examine their association with cognitive decline among middle-aged and older Americans. We used data from the Health and Retirement Study (2010-2018), a nationally representative longitudinal study of Americans over age 50 (n = 18,599). Latent class analysis identified clusters based on pain prevalence, insomnia, and depressive symptoms. Mixed-effects linear regression models examined the associations between these clusters and cognitive decline. Five clusters were identified: 1) minimal symptoms (56.90%), 2) moderate pain, low insomnia, low depressive symptoms (7.3%), 3) no pain, high insomnia, moderate depressive symptoms (6.4%), 4) high-impact pain, moderate insomnia, moderate depressive symptoms (11.8%), and 5) high-impact pain, high insomnia, high depressive symptoms (7.5%). Compared to those with minimal symptoms, individuals in the “no pain, high insomnia, and moderate depression” and “high-impact pain, moderate insomnia, and moderate depression” clusters experienced the fastest rates of cognitive decline (β= -0.07, 95% CI: -0.13, -0.01; β= -0.07, 95% CI: -0.11, -0.02, respectively). These results suggest a complex interplay among pain, insomnia, and depression, particularly in relation to the development of cognitive decline in older age. Screening for co-occurring symptoms may inform therapeutic clinical decision-making aimed at mitigating cognitive decline.

Innovation in AgingVol. 9(Supplement_2)
University of San Diego (US), University of California San Diego (US), The University of Texas Medical Branch at Galveston (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 26%
Sleep and related disorders
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