Socioeconomic Status and the Cerebellar Grey Matter Volume. Data from a Well-Characterised Population Sample

详细信息    查看全文

• 作者：Jonathan Cavanagh (1) (13)
  Rajeev Krishnadas (1)
  G. David Batty (3) (4)
  Harry Burns (5)
  Kevin A. Deans (7) (8)
  Ian Ford (2)
  Alex McConnachie (2)
  Agnes McGinty (9)
  Jennifer S. McLean (10)
  Keith Millar (1)
  Naveed Sattar (11)
  Paul G. Shiels (6)
  Carol Tannahill (10)
  Yoga N. Velupillai (12)
  Chris J. Packard (9)
  John McLean (1)
  
• 关键词：Cerebellum ; Socioeconomic status ; Deprivation ; Cognition
• 刊名：The Cerebellum
• 出版年：2013
• 出版时间：December 2013
• 年：2013
• 卷：12
• 期：6
• 页码：882-891
• 全文大小：
• 作者单位：Jonathan Cavanagh (1) (13)
  Rajeev Krishnadas (1)
  G. David Batty (3) (4)
  Harry Burns (5)
  Kevin A. Deans (7) (8)
  Ian Ford (2)
  Alex McConnachie (2)
  Agnes McGinty (9)
  Jennifer S. McLean (10)
  Keith Millar (1)
  Naveed Sattar (11)
  Paul G. Shiels (6)
  Carol Tannahill (10)
  Yoga N. Velupillai (12)
  Chris J. Packard (9)
  John McLean (1)
  
  1. Sackler Institute of Psychobiological Research, Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK
  13. Institute of Mental Health and Wellbeing, College of Medical, Veterinary and Life Sciences, Administration Building, Gartnavel Royal Hospital, 1055 Great Western Road, Glasgow, G12 0XH, UK
  3. Social and Public Health Sciences Unit, Medical Research Council, Glasgow, Scotland, UK
  4. Clinical Epidemiology Group, Department of Epidemiology and Public Health, University College London, London, England, UK
  5. Scottish Government, Edinburgh, Scotland, UK
  7. Department of Clinical Biochemistry, NHS Greater Glasgow and Clyde, Glasgow Royal Infirmary, Glasgow, Scotland, UK
  8. Department of Clinical Biochemistry, Aberdeen Royal Infirmary, Aberdeen, Scotland, UK
  2. Robertson Centre for Biostatistics, University of Glasgow, Glasgow, Scotland, UK
  9. Glasgow Clinical Research Facility, Glasgow, Scotland, UK
  10. Glasgow Centre for Population Health, Glasgow, Scotland, UK
  11. Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, UK
  6. Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, UK
  12. Graduate Entry Medical School, University of Limerick, Limerick, Ireland
  
• ISSN：1473-4230

文摘

The cerebellum is highly sensitive to adverse environmental factors throughout the life span. Socioeconomic deprivation has been associated with greater inflammatory and cardiometabolic risk, and poor neurocognitive function. Given the increasing awareness of the association between early-life adversities on cerebellar structure, we aimed to explore the relationship between early life (ESES) and current socioeconomic status (CSES) and cerebellar volume. T1-weighted MRI was used to create models of cerebellar grey matter volumes in 42 adult neurologically healthy males selected from the Psychological, Social and Biological Determinants of Ill Health study. The relationship between potential risk factors, including ESES, CSES and cerebellar grey matter volumes were examined using multiple regression techniques. We also examined if greater multisystem physiological risk index—derived from inflammatory and cardiometabolic risk markers—mediated the relationship between socioeconomic status (SES) and cerebellar grey matter volume. Both ESES and CSES explained the greatest variance in cerebellar grey matter volume, with age and alcohol use as a covariate in the model. Low CSES explained additional significant variance to low ESES on grey matter decrease. The multisystem physiological risk index mediated the relationship between both early life and current SES and grey matter volume in cerebellum. In a randomly selected sample of neurologically healthy males, poorer socioeconomic status was associated with a smaller cerebellar volume. Early and current socioeconomic status and the multisystem physiological risk index also apparently influence cerebellar volume. These findings provide data on the relationship between socioeconomic deprivation and a brain region highly sensitive to environmental factors.