Association between white matter hyperintensity and anxiety/depression

被引:1
作者
Zhou, Ruixue [1 ]
Cai, Qingqing [1 ]
Liu, Chen [1 ]
Hui, Jingni [1 ]
Kang, Meijuan [1 ]
Gou, Yifan [1 ]
Liu, Ye [1 ]
Shi, Panxing [1 ]
Wang, Bingyi [1 ]
Zhang, Feng [1 ,2 ,3 ]
机构
[1] Xi An Jiao Tong Univ, Key Lab Trace Elements & Endem Dis, Collaborat Innovat Ctr Endem Dis & Hlth Promot Sil, Sch Publ Hlth,Hlth Sci Ctr, Xian 710061, Peoples R China
[2] Xi An Jiao Tong Univ, Dept Psychiat, Affiliated Hosp 1, Xian, Peoples R China
[3] Xi An Jiao Tong Univ, Key Lab Trace Elements & Endem Dis, Natl Hlth & Family Planning Commiss, Sch Publ Hlth,Hlth Sci Ctr, 76 Yan Ta West Rd, Xian 710061, Shaanxi, Peoples R China
关键词
anxiety; depression; white matter hyperintensity; DEPRESSION; METAANALYSIS; SYMPTOMS; LESIONS; ALPHA;
D O I
10.1093/cercor/bhae149
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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: beta = 0.152, deep white matter hyperintensity: beta = 0.094) and Patient Health Questionnaire-9 score (periventricular white matter hyperintensity: beta = 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.
引用
收藏
页数:7
相关论文
共 36 条
[1]   Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank [J].
Alfaro-Almagro, Fidel ;
Jenkinson, Mark ;
Bangerter, Neal K. ;
Andersson, Jesper L. R. ;
Griffanti, Ludovica ;
Douaud, Gwenaelle ;
Sotiropoulos, Stamatios N. ;
Jbabdi, Saad ;
Hernandez-Fernandez, Moises ;
Vallee, Emmanuel ;
Vidaurre, Diego ;
Webster, Matthew ;
McCarthy, Paul ;
Rorden, Christopher ;
Daducci, Alessandro ;
Alexander, Daniel C. ;
Zhang, Hui ;
Dragonu, Iulius ;
Matthews, Paul M. ;
Miller, Karla L. ;
Smith, Stephen M. .
NEUROIMAGE, 2018, 166 :400-424
[2]   Cerebral White Matter Lesions and Affective Episodes Correlate in Male Individuals with Bipolar Disorder [J].
Birner, Armin ;
Seiler, Stephan ;
Lackner, Nina ;
Bengesser, Susanne A. ;
Queissner, Robert ;
Fellendorf, Frederike T. ;
Platzer, Martina ;
Ropele, Stefan ;
Enzinger, Christian ;
Schwingenschuh, Petra ;
Mangge, Harald ;
Pirpamer, Lukas ;
Deutschmann, Hannes ;
McIntyre, Roger S. ;
Kapfhammer, Hans-Peter ;
Reininghaus, Bernd ;
Reininghaus, Eva Z. .
PLOS ONE, 2015, 10 (08)
[3]   Age-Related Changes in White Matter Lesions, Hippocampal Atrophy, and Cerebral Microbleeds in Healthy Subjects Without Major Cerebrovascular Risk Factors [J].
Chowdhury, Monzurul H. ;
Nagai, Atsushi ;
Bokura, Hirokazu ;
Nakamura, Eisuke ;
Kobayashi, Shotai ;
Yamaguchi, Shuhei .
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2011, 20 (04) :302-309
[4]   Targeting the renin angiotensin system for the treatment of anxiety and depression [J].
Chrissobolis, Sophocles ;
Luu, Anh N. ;
Waldschmidt, Ryan A. ;
Yoakum, Madison E. ;
D'Souza, Manoranjan S. .
PHARMACOLOGY BIOCHEMISTRY AND BEHAVIOR, 2020, 199
[5]  
Collaborators GMD., 2022, Lancet Psychiatry, V9
[6]   Anatomical mapping of white matter hyperintensities (WMH) - Exploring the relationships between periventricular WMH, deep WMH, and total WMH burden [J].
DeCarli, C ;
Fletcher, E ;
Ramey, V ;
Harvey, D ;
Jagust, WJ .
STROKE, 2005, 36 (01) :50-55
[7]  
DeMartini J., 2019, Annals of internal medicine, V170
[8]   A Meta-Analysis of Cytokines in Major Depression [J].
Dowlati, Yekta ;
Herrmann, Nathan ;
Swardfager, Walter ;
Liu, Helena ;
Sham, Lauren ;
Reim, Elyse K. ;
Lanctot, Krista L. .
BIOLOGICAL PSYCHIATRY, 2010, 67 (05) :446-457
[9]   MR SIGNAL ABNORMALITIES AT 1.5-T IN ALZHEIMER DEMENTIA AND NORMAL AGING [J].
FAZEKAS, F ;
CHAWLUK, JB ;
ALAVI, A ;
HURTIG, HI ;
ZIMMERMAN, RA .
AMERICAN JOURNAL OF ROENTGENOLOGY, 1987, 149 (02) :351-356
[10]   White matter and behavioral neurology [J].
Filley, CM .
WHITE MATTER IN COGNITIVE NEUROSCIENCE: ADVANCES IN DIFFUSION TENSOR IMAGING AND ITS APPLICATIONS, 2005, 1064 :162-+