Observational and genetic evidence disagree on the association between loneliness and risk of multiple diseases

Loneliness-the subjective experience of social disconnection-is now widely regarded as a health risk factor. However, whether the associations between loneliness and multiple diseases are consistent with causal effects remains largely unexplored. Here we combined behavioural, genetic and hospitalization data from the UK Biobank to examine the associations of loneliness with a wide range of non-overlapping diseases. During a median 12.2-year follow-up, loneliness was associated with greater risks in 13 of 14 disease categories and 30 of 56 individual diseases considered. Of the 30 diseases significantly associated with loneliness, 26 had genetic data available for Mendelian randomization (MR) analyses. After Benjamini‒Hochberg correction and multiple sensitivity analyses within the MR framework, non-causal associations were identified between genetic liability to loneliness and 20 out of the 26 specific diseases, including cardiovascular diseases, type 2 diabetes mellitus, obesity, chronic liver diseases, chronic kidney disease, most neurological diseases and the other common diseases. Genetic liability to loneliness was only potentially causally associated with the remaining six diseases. Socioeconomic factors, health behaviours, baseline depressive symptoms and comorbidities largely explained the associations between loneliness and diseases. Overall, our study revealed a dissociation between observational and genetic evidence regarding the associations of loneliness with multiple diseases. These findings suggest that loneliness may serve as a potential surrogate marker rather than a causal risk factor for most diseases tested here.

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Publication Details

Journal
Nature Human Behaviour
Published
2024-09-16
DOI
https://doi.org/10.1038/s41562-024-01970-0
Citations
43
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
22.70

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article

Observational and genetic evidence disagree on the association between loneliness and risk of multiple diseases

Fujun Jia, Yannis Yan Liang, Mingqing Zhou, Qiqi Wu et al.
43 citations
Nature Human Behaviour
Health disparities and outcomes
22.70
article

Observational and genetic evidence disagree on the association between loneliness and risk of multiple diseases

Fujun Jia, Yannis Yan Liang, Mingqing Zhou, Qiqi Wu, Weijie Zhang, Sizhi Ai, Lu Qi, Jihui Zhang, Tong Luo, Yu He, Jun Zhang
article en
43 citations

Abstract

Loneliness-the subjective experience of social disconnection-is now widely regarded as a health risk factor. However, whether the associations between loneliness and multiple diseases are consistent with causal effects remains largely unexplored. Here we combined behavioural, genetic and hospitalization data from the UK Biobank to examine the associations of loneliness with a wide range of non-overlapping diseases. During a median 12.2-year follow-up, loneliness was associated with greater risks in 13 of 14 disease categories and 30 of 56 individual diseases considered. Of the 30 diseases significantly associated with loneliness, 26 had genetic data available for Mendelian randomization (MR) analyses. After Benjamini‒Hochberg correction and multiple sensitivity analyses within the MR framework, non-causal associations were identified between genetic liability to loneliness and 20 out of the 26 specific diseases, including cardiovascular diseases, type 2 diabetes mellitus, obesity, chronic liver diseases, chronic kidney disease, most neurological diseases and the other common diseases. Genetic liability to loneliness was only potentially causally associated with the remaining six diseases. Socioeconomic factors, health behaviours, baseline depressive symptoms and comorbidities largely explained the associations between loneliness and diseases. Overall, our study revealed a dissociation between observational and genetic evidence regarding the associations of loneliness with multiple diseases. These findings suggest that loneliness may serve as a potential surrogate marker rather than a causal risk factor for most diseases tested here.

Nature Human BehaviourVol. 8(11)
Tulane University (US), Harvard University (US), Sun Yat-sen University (CN), First Affiliated Hospital of Guangzhou Medical University (CN), Guangzhou Psychiatric Hospital (CN), Guangdong Academy of Medical Sciences (CN), Third Affiliated Hospital of Sun Yat-sen University (CN), Guangdong Provincial People's Hospital (CN), Guangdong 999 Brain Hospital (CN), Southern Medical University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Sun Yat-sen University
Reduced inequalities
Openalex Percentile: Top 0%
Health disparities and outcomes
22.70
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