The potential for measuring ethnicity and health in a multicultural milieu - the case of type 2 diabetes in Australia

Objective
Ethnicity influences health in many ways. For example, type 2 diabetes (T2DM) is disproportionately prevalent among certain ethnic groups. Assessing ethnicity is difficult, and numerous proxy measures are used to capture its various components. Australian guidelines specify a set of variables for measuring ethnicity, and how such parameters should be categorised. Using T2DM data collections as an illustrative example, this study sought to examine how ethnicity is measured in Australian health databases and, by comparing current practice with Australia’s existing benchmark recommendations, to identify potential areas for improvement of the health data landscape.

Psychosocial stress and health: a conceptual overview

 Volume 64

A systematic review of studies examining the relationship between reported racism and health and wellbeing for children and young people

Racial discrimination is increasingly recognised as a determinant of racial and ethnic health inequalities, with growing evidence of strong associations between racial discrimination and adult health outcomes. There is a growing body of literature that considers the effects of racial discrimination on child and youth health. The aim of this paper is to provide a systematic review of studies that examine relationships between reported racial discrimination and child and youth health. We describe the characteristics of 121 studies identified by a comprehensive search strategy, including definitions and measurements of racial discrimination and the nature of reported associations. Most studies were published in the last seven years, used cross-sectional designs and were conducted in the United States with young people aged 12–18 years. African American, Latino/a, and Asian populations were most frequently included in these studies. Of the 461 associations examined in these studies, mental health outcomes (e.g. depression, anxiety) were most commonly reported, with statistically significant associations with racial discrimination found in 76% of outcomes examined. Statistically significant associations were also found for over 50% of associations between racial discrimination and positive mental health (e.g. self esteem, resilience), behaviour problems, wellbeing, and pregnancy/birth outcomes. The field is currently limited by a lack of longitudinal studies, limited psychometrically validated exposure instruments and poor conceptualisation and definition of racial discrimination. There is also a need to investigate the complex and varying pathways by which reported racial discrimination affect child and youth health. Ensuring study quality in this field will allow future research to reveal the complex role that racial discrimination plays as a determinant of child and youth health.

Relationship between overweight and health-related quality of life in secondary school children in Fiji: results from a cross-sectional population-based study

Objective
To investigate the relationship between excess weight (overweight and obesity) and health-related quality of life (HRQoL) in a sample of secondary school children in Fiji, by gender, age and ethnicity.

Methods
The study comprised 8947 children from forms 3–6 (age 12–18 years) in 18 secondary schools on Viti Levu, the main island of Fiji. Body mass index (BMI) was calculated from measured height and weight, and weight status was classified according to the International Obesity Task Force recommendations. HRQoL was measured by the self-report version of the Pediatric Quality of Life Inventory 4.0.

Results
HRQoL was similar in children with obesity and normal weight. Generally, this was replicated when analyzed separately by gender and ethnicity, but age stratification revealed disparities. In 12–14-year-old children, obesity was associated with better HRQoL, owing to better social and school functioning and well-being, and in 15–18-year olds with poorer HRQoL, owing to worse physical, emotional and social functioning and well-being (Cohen’s d 0.2–0.3). Children with a BMI in the overweight range also reported a slightly lower HRQoL than children with a BMI in the normal weight range, but although statistically significant, the size of this difference was trivial (Cohen’s d <0.2).

Discussion
The results suggest that, overall there is no meaningful negative association between excess weight and HRQoL in secondary school children in Fiji. This is in contradiction to the negative relationship between excess weight and HRQoL shown in studies from other countries and cultures. The assumption that a large body size is associated with a lower quality of life cannot be held universally. Although a generally low HRQoL among children in Fiji may be masking or overriding the potential effect of excess weight on HRQoL, socio-economic and/or socio-cultural factors, may help to explain these relationships.

Invited commentary: job strain and health behaviors—developing a bigger picture

Investigation of the association between job stressors and health behaviors has a long history that has been marked by mixed findings. Fransson et al. (Am J Epidemiol. 2012;176(12):1078–1089) find robust prospective and cross-sectional associations between job strain and leisure-time physical inactivity in combined data from 14 cohort studies. Further research to better understand the observed heterogeneity in the contributing cohorts and other studies will be crucial for application to intervention design and tailoring. The population health significance of these findings requires consideration of other job strain–health behavior (particularly the parallel analyses conducted for body mass index and smoking in the same data set) and job strain–health outcome associations, as well as these same associations for other job stressors. Job strain can be seen as a “fundamental cause” of work-related disease, in that intervention to reduce exposure to job strain could have beneficial impacts on many outcomes, making a compelling case for intervention. The significantly strengthened evidence linking job stressors to health behaviors provided by Fransson et al. may help to further direct workplace health promotion research, policy, and practice towards an approach that better integrates intervention on working conditions and health behaviors. The benefits to population health could be substantial.