There was a consistent, strong and graded association between bullying and each of 12 physical and psychological symptoms among adolescents in all 28 countries.

Our study shows that socioeconomic differences in height, when using self-reported information, involve an underestimation. This means that the height differences between socioeconomic groups in Sweden may actually be higher than that reported by individuals in surveys. The socioeconomic differences in underweight tend to be underestimated for men, as well as obesity for women, when using self-reported information. The socioeconomic differences in overweight and obesity are shown to be overestimated for men.

Objective-To analyse incidence of sickness for women and men relative to potential aetiological factors at workphysical, psychosocial, and organisational. Methods-The study group comprised 1557 female and 1913 male employees of Sweden Post. Sickness absence was measured by incidence of sickness (sick leave events and person-days at risk). Information on explanatory factors was obtained by a postal questionnaire, and incidence of sickness was based on administrative files of the company. Results-Complaints about heavy lifting and monotonous movements were associated with increased risk of high incidence of sickness among both women and men. For heavy lifting, an odds ratio (OR) of 1.70 (95% confidence interval (95% CI) 1.22 to 2.39) among women, and OR 1.70 (1.20 to 2.41) among men was found. For monotonous movements the risk estimates were OR 1.42 (1.03 to 1.97) and OR 1.45 (1.08 to 1.95) for women and men, respectively. Working instead of taking sick leave when ill, was more prevalent in the group with a high incidence of sickness (OR 1.74 (1.30 to 2.33) for women, OR 1.60 (1.22 to 2.10) for men). Overtime work of more than 50 hours a year was linked with low incidence of sickness for women and men. Among women, 16% reported bullying at the workplace, which was linked with a doubled risk of high incidence of sickness (OR 1.91 (1.31 to 2.77)). For men, the strongest association was found for those reporting anxiety about reorganisation of the workplace (OR 1.93 (1.34 to 2.77)). Conclusions-Certain physical, psychosocial, and organisational factors were important determinants of incidence of sickness, independently of each other. Some of the associations were sex specific. (Occup Environ Med 2001;58:178-184)

Health-related quality of life (HRQoL) measured on population level may be useful to guide policies for health. This study aims to describe the HRQoL; in EQ-5D dimensions, mean rating scale (RS) scores and mean EQ-5D index values, in the general population, by certain disease and socio-economic groups, in Stockholm County 1998. The EQ-5D self-classifier and a RS were included in the 1998 cross-sectional postal Stockholm County public health survey to a representative sample (n = 4950, 20-88 years), 63% response rate. Mean RS score ranged from 0.90 (20-29 years) to 0.69 (80-88 years), mean EQ-5D index value ranged from 0.89 (20-29 years) to 0.74 (80-88 years). For different diseases mean RS scores ranged from 0.80 (asthma) to 0.69 (angina pectoris), mean EQ-5D index values ranged from 0.79 (asthma) to 0.66 (low back pain). The mean health state scores (RS and EQ-5D index) were 0.06 lower in the unskilled manual group than in the higher non-manual group after controlling for age and sex (p < 0.0001). This difference was 0.03 after controlling also for different diseases (p < 0.0001). In conclusion, our results show that the HRQoL varies greatly between socio-economic and disease groups. Furthermore, after controlling for age, sex and disease, HRQoL is lower in manual than in non-manual groups.

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This paper discusses the concepts of vulnerability and susceptibility and their relevance for understanding and tackling health inequalities. Tackling socioeconomic inequalities in health is based on an understanding of how an individual's social position influences disease risk. Conceptually, there are two possible mechanisms (not mutually exclusive): there is either some cause(s) of disease that are unevenly distributed across socioeconomic groups (differential exposure) or the effect of some cause(s) of disease differs across groups (differential effect). Since differential vulnerability and susceptibility are often used to denote the latter, we discuss these concepts and their current use and suggest an epidemiologically relevant distinction. The effect of social position can thus be mediated by causes that are unevenly distributed across social groups and/or interact with social position. Recent improvements in the methodology to estimate mediation and interaction have made it possible to calculate measures of relevance for setting targets and priorities in policy for health equity which include both mechanisms, i.e. equalize exposure or equalize effects. We finally discuss the importance of differential susceptibility and vulnerability for the choice of preventive strategies, including approaches that target high-risk individuals, whole populations and vulnerable groups.