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Professor Meena Kumari Professor of Biological and Social Epidemiology, University of Essex

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01206 873573

Research Interests:

  • The biological pathways by which the social environment and health are linked over the lifecourse
  • Use of genetic epidemiology to inform understanding of the causal influence of environmentally modifiable risk factors

Meena is a leading expert in biomarkers and genetics, and has worked to apply insights from these areas to better understand ageing, cardiovascular disease, and health inequalities using the Whitehall II cohort study of British civil servants and the English Longitudinal Study of Ageing. She remains an Honorary Professor at UCL.

Meena is the topic champion for health and biomarker content and research in Understanding Society and continues to lead research on the social-biological interface and genetic epidemiology as an investigator for the study.

Additionally Professor Kumari leads the Centre for Doctoral Training in Biosocial Research (Soc-B) at Essex University (in collaboration with UCL and University of Manchester).

Soc-B is now open and accepting applications studentships for October 2018 entry.

See here for publications pre-April 2014

Latest Blog Posts


    Displaying publications 1 - 15 of 123 in total

    1. Systematic underestimation of the epigenetic clock and age acceleration in older subjects

      Louis Y. El Khoury, Tyler Gorrie-Stone, Melissa Smart, et al.

      1. Older People
      2. Life Course Analysis
      3. Biology
      4. Genetics
    2. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

      Amand F. Schmidt, Michael V. Holmes, David Preiss, et al.

      1. Health
      2. Biology
      3. Genetics
    3. Associations of autozygosity with a broad range of human phenotypes

      David W. Clark, Yukinori Okada, Kristjan H.S. Moore, et al.

      1. Childbearing: Fertility
      2. Biology
      3. Genetics
    4. The transferability of lipid loci across African, Asian and European cohorts

      Karoline Kuchenbaecker, Nikita Telkar, Theresa Reiker, et al.

      1. Medicine
      2. Demography
      3. Ethnic Groups
      4. Health
      5. Biology
      6. Genetics
    5. Are flexible work arrangements associated with lower levels of chronic stress-related biomarkers? A study of 6025 employees in the UK Household Longitudinal Study

      Tarani Chandola, Cara L. Booker, Meena Kumari, et al.

      1. Sociology Of Labour
      2. Labour Market
      3. Well Being
      4. Health
      5. Caregiving
      6. Biology
    6. Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in Understanding Society

      Maryam Karimi, Raphaële Castagné, Cyrille Delpierre, et al.

      1. Health
      2. Life Course Analysis
      3. Social Stratification
      4. Biology
    7. The association between self-rated health and underlying biomarker levels is modified by age, gender, and household income: evidence from Understanding Society – the UK Household Longitudinal Study

      M. Pia Chaparro, Amanda Hughes, Meena Kumari, et al.

      1. Social Groups
      2. Demography
      3. Income Dynamics
      4. Health
      5. Biology
    8. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and cognitive capability at older ages: individual participant meta-analysis of five cohorts

      Michael Gardner, Stafford Lightman, Diana Kuh, et al.

      1. Older People
      2. Psychology
      3. Health
      4. Biology
    9. Assessing the robustness of sisVIVE in a Mendelian randomization study to estimate the causal effect of body mass index on income using multiple SNPs from Understanding Society

      Yanchun Bao, Paul Clarke, Melissa Smart, et al.

      1. Income Dynamics
      2. Biology
      3. Genetics
    10. Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour

      Samuel E. Jones, Vincent T. van Hees, Diego R. Mazzotti, et al.

      1. Health
      2. Biology
      3. Genetics
    11. Assessing potential shared genetic aetiology between body mass index and sleep duration in 142,209 individuals

      Victoria Garfield, Ghazaleh Fatemifar, Caroline Dale, et al.

      1. Science And Technology
      2. Health
      3. Biology
      4. Genetics
    12. Bigmelon: tools for analysing large DNA methylation datasets

      Tyler J. Gorrie-Stone, Melissa Smart, Ayden Saffari, et al.

      1. Statistical Analysis
      2. Computing
      3. Genetics
    13. Informal caregiving and diurnal patterns of salivary cortisol: results from the Whitehall II cohort study

      Jesper Mortensen, Nadya Dich, Alice Jessie Clark, et al.

      1. Health
      2. Caregiving
      3. Biology
    14. Social support and trajectories of body mass index and waist to hip ratio from mid-adulthood to old age

      Urszula Tymoszuk, Meena Kumari, Rachel Batterham, et al.

      1. Older People
      2. Social Networks
      3. Psychology
      4. Health
      5. Life Course Analysis
      6. Biology
    15. The authors reply

      Amanda Hughes, Yanchun Bao, Melissa Smart, et al.

      1. Health
      2. Life Course Analysis
      3. Social Stratification
      4. Biology
      5. Genetics


    Displaying media publications 1 - 15 of 21 in total

    1. Working mothers disproportionately more stressed, study claims

    2. Full-time working mothers are 40% more stressed, study finds

    3. Working moms 40% more stressed than women without kids: study

    4. Full-time working moms with two kids are highly stressed: study

    5. Working mothers ‘up to 40% more stressed’

    6. Difficult childhood experiences could make us age prematurely – new research

    7. How to fix health by looking upstream: 5 must-reads

    8. Blood, sweat and tears: creating the CLOSER biomarker catalogue

    9. How your blood may predict your future health

    10. Is working long hours bad for your heart?

    11. It’s official: your boss is less stressed than you!

    12. Being retired is no less stressful than working – unless you were in a top job

    13. High earners can expect relaxing retirement but stress RISES for lower paid

    14. Retirement is no less stressful than working - especially if you had a lower paid, undemanding job, study finds

    15. Study dispels myth of links between poverty and weight: unemployed more likely than those in work to be very thin, says report

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