HomeInitativesLearning from the International ExperienceMale workers in the female-dominated long-term care sector

Male workers in the female-dominated long-term care sector

Labor market changes, including growing opportunities to work in the long-term care (LTC) sector, may attract more men to this traditionally female-dominated occupation. Analyzing an English national workforce data-set we investigate whether men are remaining within traditional masculine jobs or crossing traditional boundaries into more emotional, and personal care work. We examine organization, local area effect, and service provision on the probability of attracting more men to the workforce. The analysis utilizes multivariate statistics and mixed-effect models. The findings highlight both horizontal and vertical segregation in the types of jobs undertaken by men in the LTC sector. A research agenda is identified.

Hussein, S., Ismail, M. and Manthorpe, J. (2016) Male workers in the female-dominated long-term care sector: evidence from England. Journal of Gender Studies. 25(1): 35-49.

Image credit: David Knudesen, unsplash.com

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Founder and Director
Shereen Hussein is a Health and Social Care Policy professor at the London School of Hygiene and Tropical Medicine (LSHTM), United Kingdom.
Shereen Founded the MENARAH Network in 2019, through an initial grant from the Global Challenge Research Fund, UKRI. She is a medical demographer with expertise in ageing, family dynamics, migration and long-term care systems. Shereen regularly collaborates with the United Nations, the World Health Organisation and the World Bank in policy and research focused on ageing in the Middle East and North Africa Region.
Shereen received her undergraduate degree in statistics and a postgraduate degree in computer science at Cairo University. She completed an MSc in medical demography at the London School of Hygiene and a PhD in quantitative demography and population studies at the London School of Economics and Political Science, United Kingdom.

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Director of Analytical Research Ltd, and Affiliate Research Fellow, Oxford Institute of Population Ageing, University of Oxford, United Kingdom

Mohamed is trained in engineering (MEng – Cairo University), computer science (MSc – Cairo University) and mathematical finance (MSc – CASS Business School, University of London). Mohamed started his career in in the City of London in 1990s, working as a quantitative analyst for leading global financial organisations, such as Merrill Lynch, HSBC, Mizuho and Credit Suisse, before he began to shift his focus onto quantitative social research. Since 2009, he has worked as an independent researcher in the field of social sciences with a particular drive to make use of different statistical and mathematical modelling techniques for the analysis of large and multi-dispersed data sets.

He has worked with universities in the UK, Europe, Australia and the Middle East; publishing a number of peer-reviewed articles. He has also been invited to give talks and presentations at several leading universities and organisations. His current research interests focus on exploring the potential role of mathematical dynamical systems in the field of population ageing across health and social care. Mohamed is the Director of Analytical Research ltd and an affiliate at the Oxford Institute of Population Ageing, University of Oxford.