The health and safety impacts of night working: the case of TSSA workers
Notice bibliographique
Résumé
Official figures report that over one quarter (27%) of the UK workforce, or roughly 8.7 million people, were night-time workers in 2022.1 While over half of night-time workers are male (56%), in the past decade the number of female night-time workers has increased. In 2017 19% of those in employment were engaged in shift work, 20% of males and 17% of females (ONS, 2018). There are proportionately more people from Black and Minority Ethnic backgrounds working at night, compared to the overall UK workforce (Young Foundation, 2011), while between 2012 and 2022, the number of night-time workers born outside of the UK rose by 33% to 2.0 million (ONS,2022). The UK HSE states that ‘only a limited number of workers can successfully adapt to night work’ since night shifts disrupt the internal body clock (2006). A substantial international body of work has demonstrated that night and shift work are linked to a wide range of mental and physical health conditions (Torquati, et al., 2019; Moreno, et al., 2019; Gurubhagavatula, et al., 2021). These conditions have significant effects on workers, but also their relationships, families and social lives (Arlinghaus, 2019). Managerial and organisational responses to these trends have largely been to suggest that the impacts of night work on the health of workers may also or instead be explained by lifestyle habits or personal preferences; an argument which deflects responsibility from employers and their duty of care, onto individual workers. This report provides a review of the literature on the impact of night and shift work on workers’ health and their families and an analysis of night work premia, based on rates provided by the Labour Research Department. It then sets out research exploring workers’ experience of night work and the impact it has upon their lives, the factors that shape their decision-making about night work, how both organisational and labour market factors and changes shape night work and the measures that employers and unions take to mitigate risk. The overall research covers five unions: The Communication Workers’ Union (CWU), The Rail and Maritime Transport Union (RMT), The Transport Salaried Staffs' Association (TSSA), Equity and Community. It is based on interviews with a national officer from each union and 55 union members working night shifts in a range of workplaces and job roles. The research aimed to: i) Examine the experiences and perceptions of night working, including on-call work and its impact on the physical and mental health of workers. ii) Explore the impact of changes in work, regarding both organisational psychosocial risks including workloads, supervisor and social support, job cuts and vacancies as well as the labour market level, for example, outsourcing, on experiences of night working. iii) Interrogate workers’ preferences for night work and the factors that may influence their reasons for undertaking night work. iv) Develop potential union demands relating to shift work and night work. These demands may exist as standalone issues or within the context of longer-term demands for a shorter working week.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».