Author | Year | Country | Industry/occupation | N (% Women) | Exposure | Outcome | Covariates | Follow-up time | Statistical method | Risk estimate | Quality (score) | |
Gender-based violence | ||||||||||||
Sickness absence | ||||||||||||
1 | Clausen | 2012 | Denmark | Employees in elder-care | 9520 (100) | Unwanted sexual attention | Registerbased long-term sickness absence (8 or more consecutive weeks) | Age, job function, tenure, BMI, smoking status, psychosocial working conditions | HR 1.46 (95% CI 0.75 to 2.82) | M (14) | ||
Non-specific violence | ||||||||||||
Mental health outcomes | ||||||||||||
1 | De Loof | 2019 | The Netherlands | Mental health nurses | 110 (59) | Patient aggression, (verbal, physical, sexual), severity score calculated as the product of frequency and intensity | Burnout, Maslach Burnout Inventory, Sum score range from 3 ‘very low’ to 15 ‘very high’ | Job stress, emotional intelligence, neuroticism, altruism | 2 years (4 waves of data collection) | Longitudinal multilevel model in which repeated measures were nested within individuals | Multilevel regression parameter 0.01, SE 0.00, p<0.05 | M (14) |
Physical health outcomes | ||||||||||||
1 | Milner | 2017 | Australia | Medical doctors | 389 (39) | Workplace aggression from coworkers, patients, relatives, dichotomised (not described how) | Self-rated health, 5 categories (excellent, very good, good, fair, poor), dichotomised as good (excellent, very good) vs poor (the remaining categories) | Job demands, social support, job insecurity, job control, rewards at work, work–life imbalance, family restrictions, working hours, age, on call working hours, medical specialisation, partner/spouse, presence of children | 7 years (seven waves) | Fixed effects regression | n.s. | M (15) |
Effect estimate from the most well-adjusted model; Quality M=medium
BMI, body mass index; n.s., statistically non-significant.