F
Frank Popham
Researcher at University of Glasgow
Publications - 97
Citations - 6233
Frank Popham is an academic researcher from University of Glasgow. The author has contributed to research in topics: Population & Public health. The author has an hindex of 28, co-authored 93 publications receiving 5316 citations. Previous affiliations of Frank Popham include University of St Andrews & University of Edinburgh.
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Is austerity a cause of slower improvements in mortality in high-income countries? A panel analysis.
TL;DR: In this paper , the authors fitted a suite of fixed-effects panel regression models to mortality data (period life expectancy, age-standardised mortality rates (ASMRs), age-stratified mortality rates and lifespan variation).
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Leaving the labour market later in life: how does it impact on mechanisms for health?
Elise Whitley,Frank Popham +1 more
TL;DR: Older people who are not in employment are at higher risk of poor physical and mental health and interventions targeting psychosocial mechanisms such as social and mental engagement and self-esteem offer potentially valuable opportunities to improve health outcomes and promote successful ageing.
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Why do those out of work because of sickness or disability have a high mortality risk? Evidence from a Scottish cohort.
TL;DR: The results suggest that the present health of those out of work and sick or disabled should be taken seriously, as their long-term survival prospects are considerably poorer than other employment groups.
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Marginal and Conditional Confounding Using Logits
TL;DR: In this paper, two ways of quantifying confounding using logistic response models for binary outcomes are presented, drawing on the distinction between marginal and conditional odds ratios in statistics, and they are used to identify confounding in binary outcomes.
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Population Priorities for Successful Aging: A Randomized Vignette Experiment.
TL;DR: Pupils and policy makers should be aware of older people’s priorities for aging and understand how these differ from their own, as well as understand the relative importance to the general population of six commonly-used successful aging dimensions.