What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Disease
- Social science
Michaela Benzeval mainly investigates Cohort study, Gerontology, Public health, Demography and Life course approach.
Her Cohort study research is multidisciplinary, incorporating perspectives in Blood pressure, Pediatrics and Cohort.
Michaela Benzeval combines topics linked to Confidence interval with her work on Gerontology.
Her Public health research includes elements of Health care and British Household Panel Survey.
Her Demography research includes themes of Health equity, Prospective cohort study, Socioeconomic status and Epidemiology.
Her studies deal with areas such as Data collection and Cardiology as well as Prospective cohort study.
Her most cited work include:
- Grip strength across the life course: normative data from twelve British studies. (354 citations)
- Income and health: the time dimension. (268 citations)
- Employment transitions and mental health: an analysis from the British household panel survey (215 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Demography, Gerontology, Longitudinal study, Cohort study and Socioeconomic status.
In her works, she undertakes multidisciplinary study on Demography and Cross-sectional study.
Her Gerontology research incorporates elements of Prospective cohort study, Health education and Cohort.
The various areas that Michaela Benzeval examines in her Cohort study study include Psychiatry, Life course approach, Blood pressure and Biostatistics.
Her Epidemiology study combines topics from a wide range of disciplines, such as Public health and Environmental health.
Her Public health course of study focuses on British Household Panel Survey and Confidence interval.
She most often published in these fields:
- Demography (38.12%)
- Gerontology (37.02%)
- Longitudinal study (20.44%)
What were the highlights of her more recent work (between 2018-2021)?
- Longitudinal study (20.44%)
- Coronavirus disease 2019 (6.08%)
- Pandemic (5.52%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Longitudinal study, Coronavirus disease 2019, Pandemic, Demography and Mental health.
Her Longitudinal study investigation overlaps with Epidemiology, Cross-sectional study, Biomarker, Gerontology and Stressor.
Her study focuses on the intersection of Epidemiology and fields such as Environmental health with connections in the field of Biostatistics and Public health.
Her Public health study combines topics in areas such as Socioeconomic status and Tobacco smoke.
Her biological study spans a wide range of topics, including Learning disability and Spouse.
Her work deals with themes such as Logistic regression and Ethnic group, which intersect with Demography.
Between 2018 and 2021, her most popular works were:
- Mental health and health behaviours before and during the initial phase of the COVID-19 lockdown: longitudinal analyses of the UK Household Longitudinal Study (45 citations)
- The Idiosyncratic Impact of an Aggregate Shock The Distributional Consequences of COVID-19 (16 citations)
- Predictors of COVID-19 vaccine hesitancy in the UK Household Longitudinal Study (15 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Disease
- Social science
Michaela Benzeval mainly focuses on Longitudinal study, Demography, Ethnic group, Pandemic and Loneliness.
With her scientific publications, her incorporates both Demography and Binge drinking.
Her research in Ethnic group intersects with topics in Socioeconomic status and Herd immunity, Vaccination.
Her studies deal with areas such as Poisson regression, Incidence, Young adult, Social stress and Mental health as well as Loneliness.
Michaela Benzeval is involved in the study of Mental health that focuses on General Health Questionnaire in particular.
Her work in the fields of Severe acute respiratory syndrome coronavirus 2 overlaps with other areas such as Panel survey, Mixed mode and Web survey.
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