Association between white matter hyperintensity and anxiety/depression

Author:

Zhou Ruixue12ORCID,Cai Qingqing12,Liu Chen12,Hui Jingni12,Kang Meijuan12,Gou Yifan12,Liu Ye12,Shi Panxing12,Wang Bingyi12,Zhang Feng123ORCID

Affiliation:

1. Key Laboratory of Trace Elements and Endemic Diseases , Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, , Xi'an, 710061 , P. R. China

2. Xi'an Jiaotong University , Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, , Xi'an, 710061 , P. R. China

3. Department of Psychiatry , The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China

Abstract

Abstract Although previous studies have explored the associations of white matter hyperintensity with psychiatric disorders, the sample size is small and the conclusions are inconsistent. The present study aimed to further systematically explore the association in a larger sample. All data were extracted from the UK Biobank. First, general linear regression models and logistic regression models were used to assess the association between white matter hyperintensity volume and anxiety/depression. White matter hyperintensity has been classified into periventricular white matter hyperintensity and deep white matter hyperintensity. Anxiety was determined by General Anxiety Disorder-7 score (n = 17,221) and self-reported anxiety (n = 15,333), depression was determined by Patient Health Questionnaire-9 score (n = 17,175), and self-reported depression (n = 14,519). Moreover, we employed Cox proportional hazard models to explore the association between white matter hyperintensity volume and anxiety/depression. The covariates included in fully adjusted model are age, gender, body mass index, Townsend deprivation index, healthy physical activity, cigarette consumption, alcohol consumption, educational attainment, diabetes, hypertension, and coronary heart disease. The results of the fully adjusted model showed that white matter hyperintensity volume was significantly associated with General Anxiety Disorder-7 score (periventricular white matter hyperintensity: β = 0.152, deep white matter hyperintensity: β = 0.094) and Patient Health Questionnaire-9 score (periventricular white matter hyperintensity: β = 0.168). Logistic regression analysis results indicated that periventricular white matter hyperintensity volume (odds ratio = 1.153) was significantly associated with self-reported anxiety. After applying the Cox proportional hazard models, we found that larger white matter hyperintensity volume was associated with increased risk of depression (periventricular white matter hyperintensity: hazard ratio = 1.589, deep white matter hyperintensity: hazard ratio = 1.200), but not anxiety. In summary, our findings support a positive association between white matter hyperintensity volume and depression.

Funder

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Oxford University Press (OUP)

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