Pregnancy-related discrimination and expectant workers' psychological well-being and work engagement: understanding the moderating role of job resources
| Date | 23 May 2023 |
| Pages | 188-204 |
| DOI | https://doi.org/10.1108/IJWHM-01-2022-0005 |
| Published date | 23 May 2023 |
| Subject Matter | Health & social care,Healthcare management,HR & organizational behaviour,Human resource policy,Employee welfare |
| Author | Juliet Hassard,Weiwei Wang,Lana Delic,Ieva Grudyte,Vanessa Dale-Hewitt,Louise Thomson |
Pregnancy-related discrimination
and expectant workers’
psychological well-being and work
engagement: understanding the
moderating role of job resources
Juliet Hassard
Queen’s Management School, Queen’s University Belfast, Belfast, UK
Weiwei Wang, Lana Delic and Ieva Grudyte
University of Nottingham, Nottingham, UK
Vanessa Dale-Hewitt
Nottingham Trent University, Nottingham, UK, and
Louise Thomson
University of Nottingham, Nottingham, UK
Abstract
Purpose –In this paper, the authors apply the Job Demand-Resource Model to investigate the association
between pregnancy-related discrimination (conceptualised as a job demand) and expectant workers’
psychological well-being and work engagement, and the moderating role of workplace support (co-worker
and supervisor social support and perceived organisational family support (POFS); conceptualised as job
resources).
Design/methodology/approach –The paper conducted a cross-sectional online survey of vocationally
active British workers in their second and third trimesters of pregnancy using purposive sampling techniques.
Participants were recruited through online forums and social media platforms. A sample of 186 was used to
conduct multiple regression and moderation analysis (SPSS v28 and STATA v17).
Findings –The authors observed that higher levels of pregnancy-related discrimination were associated with
poorer psychological well-being and work engagement among surveyed expectant workers. Perceived
co-worker social support moderated both these relationships for psychological well-being (demonstrating a
buffering effect) and work engagement (an antagonist effect). POFS and supervisor support did not moderate
this association.
Practical implications –This paper highlights the importance of pregnancy-related discrimination at work
as a work stressor, necessitating its reduction as part of organisations’strategies to manage and prevent work-
related stress above and beyond their legal requirements to do so under national-level equality legislation.
It also sheds light on the potential value of resource-based interventions.
Originality/value –This is the first study to investigate pregnancy-related discrimination and work-related
health outcomes within a British sample, and to explore the potential protective health and motivational value
of job resources there within.
Keywords Pregnancy, Discrimination, Psychological well-being, Work engagement,
The Job Demand-Resource model
Paper type Research paper
Around 80–90% of women will be employed during their pregnancy (Adams et al., 2015).
Arguably, one of the most challenging aspects of many women’s employment exper iences
emergesat the intersection of work, pregnancyand, for many, the transitionto parenthood. It is
during this period when women, line managers and their employers must consider the
physiologicaland psychological changes,and, in turn, the subsequentwork-related challenges
that pregnancy maybring to their jobs and working life (Pattison and Gross, 1996).
IJWHM
16,2/3
188
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/1753-8351.htm
Received 7 January 2022
Revised 17 October 2022
Accepted 13 February 2023
InternationalJournal of Workplace
Health Management
Vol. 16 No. 2/3, 2023
pp. 188-204
© Emerald Publishing Limited
1753-8351
DOI 10.1108/IJWHM-01-2022-0005
IntheUnitedKingdom(UK),likeinmanyother countries, pregnancy and maternity are
legally protected characteristicsundertheEqualityAct2010(Equal Opportunities
Commission, 2010). Within this legal context, women are protected against discrimination
(unfair treatment at work) from individuals in their workplace during pregnancy. Within
UK law, pregnancy discrimination is when a woman is treated unfavourably because of
her pregnancy or pregnancy-related illness (Honeyball, 2000). Examples include selection
for redundancy because of their pregnancy or pregnancy-related illness, reduction in pay
or hours, pressure to resign, refusing to give a promotion based on pregnancy status,
denying the right to return to their previously held job position or having some other job
roles/duties taken away due to their pregnancy status or maternity leave (Adams
et al., 2015).
Despite such legal safeguards, pregnancy discrimination at work continues to exist
both in the UK (Adams et al., 2015) and globally (e.g. Fox and Quinn, 2015). In the UK in
2015, an estimated 75% of working British mothers reported “...anegativeorpossibly
discriminatory experience during pregnancy, maternity leave and/or on return from
maternity leave”(Adams et al., 2015, p. 7). Recently, there have been public accusations and
court cases against large companies by female employees regarding pregnancy-related
discrimination (e.g. Frontier Airlines, ACLU, 2022;Amazon,Wilson, 2022). The most
reported forms of unfavourable treatment among expectant women at work included:
being given unsuitable work or workloads (15% of respondents); encouraged to take time
off or signed off on sick leave early (14%); encouraged by employers to start maternity
leave early (11%); and discouraged from attending antenatal classes during working time
(10%; di Marco et al., 2018). Consequently, it is more important than ever to understand
women’s experiences at work during their gestation period, how such experiences relate to
their well-being and work motivation and understanding how organisations can better
support them during this period.
The interface of pregnancy and work: women’s lived experience
Expectant employees must navigate decisions regarding whom, when and how to disclose
and manage their pregnant identities at work (Jones, 2017), with many women expressing
fear or worry about the process and outcome of disclosure (Davis et al., 2005;Jones, 2017).
Davis et al. (2005) found expectant employees reported being concerned about encountering
and managing negatively held perceptions and behaviours by co-workers, managers and
employers regarding their pregnancy and work identity. Many reported being concerned
about prejudiced attitudes by co-workers and managers surrounding their job dedication and
performance ability; and how exposure to such prejudicial attitudes and, potentially,
discriminatory behaviours may affect their work, professional identity, working life, and
their (and their baby’s) health and well-being.
Millward (2006) conducted a series of interviews with employed women exploring their
transition from pregnant employees to working mothers. She found women reported
feeling systematically excluded by the organisation and co-workers, with many
describing “feeling invisible”. A common experience was feeling insecure regarding
their professional position, with many questioning the strength of their professional
identities going forward (into and beyond maternity leave) and overall worth to the
organisation. Many expectant workers reported feelings of guilt, and pressure to work
due to the perceived “cost and burden”of their pregnancy on co-workers (Millward, 2006).
Similar findings have been observed elsewhere in the literature (Fox and Quinn, 2015;
Davis et al., 2005).
Pregnancy
stigma and
psychological
wellbeing
189
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations