Projects per year
Abstract / Description of output
This article investigates how the complexity of life domains of menopause-aged women creates a paradox of simultaneously challenging the ideal worker stereotype while being caught within it. The empirical setting of menopause at work acts to highlight how work, life, and health pressures are entangled in how women present themselves at work, through varying organizational and societal expectations of being ‘fit for work’. We draw on 80 semi-structured, life-course interviews of women over 50 working in four occupational settings: social care, manufacturing, finance, and self-employed. Findings are presented through three empirical vignettes, providing unique insight into how ideal worker expectations perpetuate or challenge the persistent silencing of ‘being’ menopausal at work, reinforced by life domain experiences relevant to mid-life. We present a theoretical contribution to ideal worker theory by highlighting that women who redefine the ideal worker stereotype might be less vulnerable to gendered ageist workplace cultures. We provide a practical contribution for how organizations can better support this generation and future generations of mid-life women at work.
Original language | English |
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Pages (from-to) | 1-16 |
Number of pages | 16 |
Journal | Gender, Work and Organization |
Early online date | 2 May 2024 |
DOIs | |
Publication status | E-pub ahead of print - 2 May 2024 |
Keywords / Materials (for Non-textual outputs)
- menopause
- women's health
- ideal worker
- extending working lives
Fingerprint
Dive into the research topics of 'Menopause, work and mid-life: Challenging the ideal worker stereotype'. Together they form a unique fingerprint.Projects
- 1 Finished
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SHAW: Supporting Healthy Ageing at Work
Loretto, W., Airey, L., Jandric, J., Lewis, S., McKie, L., Pschetz, L., Robertson-Rose, L., Speed, C., Tsanas, T., Wilkinson, H., Steffan, B. & Morrison, K.
1/03/21 → 29/02/24
Project: Research
Datasets
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Supporting Health Ageing at Work qualitative interviews
Steffan, B. (Creator), Loretto, W. (Creator) & Jandric, J. (Creator), Edinburgh DataShare, 20 Sept 2024
DOI: 10.7488/ds/7811
Dataset