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Risk and Cognition

Serial multiple mediation of loneliness and depressive symptoms in the relationship between pain and cognitive function among older people

, , , , &
Pages 2102-2110 | Received 31 Oct 2022, Accepted 19 May 2023, Published online: 06 Jun 2023
 

Abstract

Objectives

Although the negative effect of pain on cognitive function has been widely reported, it is unclear how the effect is mediated. The aim of this study is to analyze the mediating role of loneliness and depressive symptoms in the association between pain and cognitive function.

Methods

A total of 6,309 participants aged ≥50 years from 2012/13 (T1), 2014/15 (T2), 2016/17 (T3) and 2018/19 (T4) of the English Longitudinal Study of Aging (ELSA) were included. Of them, 55.8% were females, and the median age (rang) was 65 (50-99) years at T1. Serial mediation analysis was performed using Mplus 8.3.

Results

The mediation model explained 10.1% of the variance in loneliness, 22.1% of the variance of depressive symptoms, and 22.7% of the variance of cognitive function. Higher level pain was associated with poorer cognitive function (c: β = −0.057; p < 0.001). The negative effect of pain on cognition was mediated separately and sequentially through loneliness and depressive symptoms, with loneliness and depressive symptoms explaining 8.8% of the total effect, respectively, and the pathway of loneliness and subsequent depression explaining 1.8%.

Conclusions

Diversified interventions aimed at treating pain in older adults would be beneficial for their mental health and cognitive function.

Acknowledgments

This study used data from the English Longitudinal Study of Ageing (ELSA). The authors are grateful to the ELSA researchers and the UK Data Service for making the ELSA data available online freely. We also would like to thank all the survey participants who provided these data.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (grant number: 82071453).

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