Who Feels Inferior? A Test of the Status Anxiety Hypothesis of Social Inequalities in Health

The empirical association between income inequality, population health and other social problems is now well established and the research literature suggests that the relationship is not artefactual. Debate is still ongoing as to the cause of this association. Wilkinson, Marmot and colleagues have argued for some time that the relationship stems from the psycho-social effects of status comparisons. Here, income inequality is a marker of a wider status hierarchy that provokes an emotional stress response in individuals that is harmful to health and well-being. We label this the ‘status anxiety hypothesis’. If true, this would imply a structured relationship between income inequality at the societal level, individual income rank and anxiety relating to social status. This paper sets out strong and weak forms of the hypothesis and then presents three predictions concerning the structuring of ‘status anxiety’ at the individual level given different levels of national income inequality and varying individual income. We then test these predictions using data from a cross-national survey of over 34,000 individuals carried out in 2007 in 31 European countries. Respondents from low inequality countries reported less status anxiety than those in higher inequality countries at all points on the income rank curve. This is an important precondition of support for the status anxiety hypothesis and may be seen as providing support for the weaker version of the hypothesis. However, we do not find evidence to support the stronger version of the hypothesis which requires the negative effect of income rank on status anxiety to be exacerbated by increasing income inequality.

Chronic kidney disease and diabetes in the National Health Service:a cross-sectional survey of the UK National Diabetes Audit

We investigated the prevalence of chronic kidney disease and attainment of therapeutic targets for HbA1c and blood pressure in a large UK-based diabetes population.

Physical Stature Decline and the Health Status of the Elderly Population in England

Few research papers in economics have examined the extent, causes or consequences of physical stature decline in aging populations. Using repeated observations on objectively measured data from the English Longitudinal Study of Ageing (ELSA), we document that reduction in height is an important phenomenon among respondents aged 50 and over. On average, physical stature decline occurs at an annual rate of between 0.08% and 0.10% for males, and 0.12% and 0.14% for females—which approximately translates into a 2cm to 4cm reduction in height over the life course. Since height is commonly used as a measure of long-run health, our results demonstrate that failing to take age-related height loss into account substantially overstates the health advantage of younger birth cohorts relative to their older counterparts. We also show that there is an absence of consistent predictors of physical stature decline at the individual level. However, we demonstrate how deteriorating health and reductions in height occur simultaneously. We document that declines in muscle mass and bone density are likely to be the mechanism through which these effects are operating. If this physical stature decline is determined by deteriorating health in adulthood, the coefficient on measured height when used as an input in a typical empirical health production function will be affected by reverse causality. While our analysis details the inherent difficulties associated with measuring height in older populations, we do not find that significant bias arises in typical empirical health production functions from the use of height which has not been adjusted for physical stature decline. Therefore, our results validate the use of height among the population aged over 50.

A methodological review of the Short Form Health Survey 36 (SF-36) and its derivatives among breast cancer survivors

Purpose: A systematic review of the validity, reliability and sensitivity of the Short Form (SF) health survey measures among breast cancer survivors.
Methods: We searched a number of databases for peer-reviewed papers. The methodological quality of the papers was assessed using the COnsenus-based Standards for the selection of health Measurement INstruments (COSMIN).
Results: The review identified seven papers that assessed the psychometric properties of the SF-36 (n = 5), partial SF-36 (n = 1) and SF-12 (n = 1) among breast cancer survivors. Internal consistency scores for the SF measures ranged from acceptable to good across a range of language and ethnic sub-groups. The SF-36 demonstrated good convergent validity with respective subscales of the Functional Assessment of Cancer Treatment—General scale and two lymphedema-specific measures. Divergent validity between the SF-36 and Lymph-ICF was modest. The SF-36 demonstrated good factor structure in the total breast cancer survivor study samples. However, the factor structure appeared to differ between specific language and ethnic sub-groups. The SF-36 discriminated between survivors who reported or did not report symptoms on the Breast Cancer Prevention Trial Symptom Checklist and SF-36 physical sub-scales, but not mental sub-scales, discriminated between survivors with or without lymphedema. Methodological quality scores varied between and within papers.
Conclusion: Short Form measures appear to provide a reliable and valid indication of general health status among breast cancer survivors though the limited data suggests that particular caution is required when interpreting scores provided by non-English language groups. Further research is required to test the sensitivity or responsiveness of the measure.

Impact of abuse and neglect on the health and wellbeing of children:Child sexual abuse

During the past 30 years, the focus on the extent and nature of child abuse and neglect has been coupled with an increasing interest in the impact on children’s development, health and mental wellbeing. Child maltreatment is both a human rights violation and a complex public health issue, likely caused by a myriad of factors that involve the individual, the family, and the community. Child abuse includes any type of maltreatment or harm inflicted upon children and young people in interactions between adults (or older adolescents). Such maltreatment is likely to cause enduring harm to the child.
The different forms of abuse and neglect often occur together in one family and can affect one or more children. These include, in deceasing level of frequency: neglect; physical abuse and non-accidental injury; emotional abuse; and sexual abuse (Cawson et al, 2000; 2002). Recently, bullying and domestic violence have been included as forms of abuse of children.
There is a sizeable body of literature on the relationship between types of child maltreatment and a variety of negative health and mental health consequences. These include biological, psychological, and social deficits (for reviews, see Crittenden, 1998; Kendall-Tackett, 2001; 2003). Aside from the serious physical and health consequences of child maltreatment, several emotional and behavioural consequences for children have been noted in the literature.

Use of the child health utility and strengths and difficulties outcome measures in economic evaluations of school-based interventions: data from a cluster-randomised controlled trial in Northern Ireland

Background There is growing evidence linking early social and emotional wellbeing to later academic performance and various health outcomes including mental health. An economic evaluation was designed alongside the Roots of Empathy cluster-randomised trial evaluation, which is a school-based intervention for improving pupils’ social and emotional wellbeing. Exploration of the relevance of the Strengths and Diffi culties Questionnaire (SDQ) and Child Health Utility 9D (CHU9D) in school-based health economic evaluations is warranted. The SDQ is a behavioural screening questionnaire for 4–17-year-old children, consisting of a total diffi culties score, and also prosocial behaviour,
which aims to identify positive aspects of behaviour. The CHU9D is a generic preference-based health-related quality of life instrument for 7–17-year-old children.