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1.
BMC Public Health ; 24(1): 1147, 2024 Apr 24.
Article in English | MEDLINE | ID: mdl-38658961

ABSTRACT

BACKGROUND: Evidence on workplace bullying and harassment (WBH) in the UK has not used probability-sample surveys with robust mental health assessments. This study aimed to profile the prevalence and nature of WBH in England, identify inequalities in exposure, and quantify adjusted associations with mental health. METHODS: Data were from the 2014 Adult Psychiatric Morbidity Survey, a cross-sectional probability-sample survey of the household population in England. Criteria for inclusion in the secondary analysis were being aged 16-70 years and in paid work in the past month (n = 3838). Common mental disorders (CMDs) were assessed using the Clinical Interview Schedule-Revised and mental wellbeing using the Warwick-Edinburgh Mental Wellbeing Scale. Analyses were weighted. We examined associations between past-year WBH and current CMD using multivariable regression modelling, adjusting for sociodemographic factors. Interaction terms tested for gender differences in associations. The study received ethical approval (ETH21220-299). RESULTS: One in ten employees (10.6%, n = 444/3838) reported past-year experience of WBH, with rates higher in women (12.2%, n = 284/2189), those of mixed, multiple, and other ethnicity (21.0%, n = 15/92), and people in debt (15.2%, n = 50/281) or living in cold homes (14.6%, n = 42/234). Most commonly identified perpetrators of WBH were line managers (53.6%, n = 244/444) or colleagues (42.8%, n = 194/444). Excessive criticism (49.3%, n = 212/444), verbal abuse (42.6%, n = 187/444), and humiliation (31.4%, n = 142/444) were the most common types. WBH was associated with all indicators of poor mental health, including CMD (adjusted odds ratio [aOR] 2.65, 95% CI 2.02-3.49), and 11 of 14 mental wellbeing indicators, including lower levels of confidence (aOR 0.57, 0.46-0.72) and closeness to others (aOR 0.57, 0.46-0.72). Patterns of association between WBH and mental health were similar in men and women. CONCLUSIONS: These findings reinforce a need for more cohesive UK legislation against WBH; guidance on recognition of bullying behaviours for employees, managers, and human resources, focusing on prevention and early intervention, and increased awareness of the impact of WBH on mental health among health service practitioners. Limitations include reliance on cross-sectional data collected before pandemic-related and other changes in workplace practices. Longitudinal data are needed to improve evidence on causality and the longevity of mental health impacts.


Subject(s)
Bullying , Mental Disorders , Workplace , Humans , Cross-Sectional Studies , Male , Female , Adult , Bullying/statistics & numerical data , Bullying/psychology , Middle Aged , England/epidemiology , Adolescent , Young Adult , Prevalence , Mental Disorders/epidemiology , Mental Disorders/psychology , Aged , Workplace/psychology , Workplace/statistics & numerical data , Surveys and Questionnaires , Mental Health/statistics & numerical data
2.
Lancet ; 402 Suppl 1: S2, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37997059

ABSTRACT

BACKGROUND: Evidence on workplace bullying and harassment (WBH) in the UK has not used probability-sample surveys with robust mental health assessments. This study aimed to profile the prevalence and nature of WBH in England, identify inequalities in WBH exposure, and quantify adjusted associations with mental health. METHODS: Data were from the 2014 Adult Psychiatric Morbidity Survey, a cross-sectional probability-sample survey of the household population in England, interviewed with verbal informed consent. Criteria for inclusion in the secondary analysis were being aged 16-70 years and in paid work in the past month (n=3838). Common mental disorders were assessed using the Clinical Interview Schedule-Revised and mental wellbeing using the Warwick-Edinburgh Mental Wellbeing Scale. Analyses were weighted. We examined associations between past-year WBH and current common mental disorders using multivariable regression modelling, adjusting for demographic and socioeconomic factors. Interaction terms tested for gender differences in associations. The study received ethics approval (ETH21220-299). FINDINGS: One in ten employees (10·6% (weighted), n=444/3838) reported past-year experience of WBH, with rates higher in women (12·2%, n=284/2189); those of mixed, multiple, and other ethnicity (21·0%, n=15/92); and people in debt (15·2%, n=50/281) or living in cold homes (14·6%, n=42/234). Most commonly identified perpetrators of WBH were line managers (53·6%, n=244/444) or colleagues (42·8%, n=194/444). Excessive criticism (49·3%, n=212/444), verbal abuse (42·6%, n=187/444), and humiliation (31·4%, n=142/444) were the most common types. WBH was associated with all adverse mental health indicators, including common mental disorders (adjusted odds ratio [aOR] 2·65, 95% CI 2·02-3·49), and 11 of 14 mental wellbeing indicators, including lower levels of confidence (aOR 0·57, 0·46-0·72) and of closeness to others (aOR 0·57, 0·46-0·72). Patterns of association between WBH and mental health were similar in men and women. INTERPRETATION: These findings reinforce a need for more cohesive UK legislation at the national level; guidance on recognition of bullying behaviours for employees, managers, and human resources at the organisational level, focusing on prevention and early intervention, and increased awareness of the impact of WBH on mental health among health-service practitioners. Study limitations include reliance on cross-sectional data collected before pandemic-related and other major changes in workplace practices. Longitudinal data are needed to improve evidence on causality and the longevity of mental health impacts. FUNDING: UK Prevention Research Partnership.


Subject(s)
Bullying , Occupational Stress , Adult , Male , Humans , Female , Mental Health , Prevalence , Cross-Sectional Studies , Sampling Studies , Surveys and Questionnaires
3.
Child Soc ; 35(1): 62-74, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33362362

ABSTRACT

The COVID-19 pandemic has had an enormous impact across the world. In this discussion paper, we examine the effect that lockdown has had on the mental health and well-being of children and young people. We write from a UK perspective in the light of the international evidence. Many of the discussion points raised resonate globally. We discuss how these issues can be dealt with and set out potential solutions as we emerge from this global crisis.

4.
Article in English | MEDLINE | ID: mdl-30987398

ABSTRACT

Research on cyberbullying amongst students has tended to be conducted separately within specific education institutional contexts, schools, further education (FE) and higher education (HE), neglecting a view that takes account of the entire educational lifespan. The present article addresses this gap in the literature, providing a novel take on examining its nature, social environments, legal consequences and potentially helpful interventions. To facilitate this, the article conceptualises cyberbullying in broad terms, recognising that it can take multiple forms of online and digital practice including: spreading rumours, ridiculing and/or demeaning another person, casting aspirations on the grounds of race, disability, gender, religion or sexual orientation; seeking revenge or deliberately embarrassing a person by posting intimate photos or videos about them without their consent; accessing another's social networking profiles with malicious intent and socially excluding a person from a social network or gaming site. This article demonstrates that harm from cyberbullying is a cause for concern for students at each developmental stage and that there are continuities in its appearance that need to be challenged at each point in the educational lifespan. And inaccurately, by university, the idea that 'nothing can be done' still is one of the main concerns for the victims. The article concludes with five key recommendations for future research and practice across the educational lifespan.


Subject(s)
Crime Victims/statistics & numerical data , Cyberbullying/prevention & control , Cyberbullying/statistics & numerical data , Internet , Schools , Students/statistics & numerical data , Universities , Adolescent , Crime Victims/psychology , Cyberbullying/psychology , Humans , Interpersonal Relations , Social Networking , Students/psychology , Young Adult
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