Food on a Low Income: Four households tell their story

The aim of this research was to investigate the everyday experiences of food on a low income among people in four household types on the island of Ireland (IOI). This research will inform safefood and other stakeholders targeting vulnerable groups. It should influence both policy and practical programmes such as community food initiatives and awareness campaigns. Why do low-income groups suffer more from diet-related ill health than other groups? Is it because a healthy diet is too expensive? Or what other forces are there at work? safefood commissioned this qualitative research for four different low-income household types to gain a deeper understanding of the dynamics behind food poverty. The research involved a qualitative approach to enable an exploration of the ‘why’ behind the statistics of food poverty. In total, thirteen focus groups were conducted amongst four household types: two parent household with children, single males, single older people and lone parents with children, on IOI in both rural and urban settings.

Does income inequality cause health and social problems?

Key points• The literature shows general agreement about a correlation between income inequality and health/social problems. • There is less agreement about whether income inequality causes health and social problems independently of other factors, but some rigorous studies have found evidence of this. • The independent effect of income inequality on health/social problems shown in some studies looks small in statistical terms. But these studies cover whole populations, and hence a significant number of lives. • Some research suggests that inequality is particularly harmful beyond a certain threshold. Britain was below this threshold in the 1960s, 1970s and early 1980s, but rose past it in 1986–7 and has settled well above it since 1998–9. If the threshold is significant it could provide a target for policy. • Anxiety about status might explain income inequality’s effect on health and social problems. If so, inequality is harmful because it places people in a hierarchy which increases competition for status, causing stress and leading to poor health and other negative outcomes. • Not all research shows an independent effect of income inequality on health/social problems. Some highlights the role of individual income (poverty/material circumstances), culture/history, ethnicity and welfare state institutions/social policies. • The author concludes that there is a strong case for further research on income inequality and discussion of the policy implications.This resource was contributed by The National Documentation Centre on Drug Use.

A Rapid Mapping Study of Smoking Projects and Services Targeted at People Living on Low Income and/or Minority Ethnic Groups

This is a study concerned with community based services aimed at smokers living on a low income and/or black and minority ethnic groups.

Low-income Groups and Behaviour Change Interventions: A review of intervention content and effectiveness

This is the second paper in a series, Kicking Bad Habits, on how people can be encouraged to adopt healthy behaviour. Looking at interventions targeted specifically at low-income groups, this paper asks which interventions are effective in getting people to quit smoking, eat healthily and exercise. It reveals that the most frequently used techniques are providing information and encouraging people to set goals, which can be particularly effective at changing behaviour in disadvantaged groups.

Seroepidemiology of hepatitis B virus infection and high rate of response to hepatitis B virus Butang®vaccine in adolescents from low income families in Central Brazil

In order to evaluate the seroepidemiology and response to Butang® vaccine in adolescents from low income families in Central Brazil, blood samples of 664 adolescents were tested for hepatitis B surface antigen (HBsAg), hepatitis B core antibody (anti-HBc), and hepatitis B surface antibody (anti-HBs) markers, and multiple logistical regression analysis was carried out to determine variables associated with hepatitis B virus (HBV) infection markers. further, three 20 µg butang® vaccine doses were offered to all susceptible individuals (n = 304). Among those who accepted them (n = 182), the seroresponse was evaluated in 170 individuals by quantitative anti-HBs. an overall hbv prevalence of 5.9% was found: four adolescents were HBsAg positive, 24 were anti-HBc, anti-HBs-reactive, and 11 were anti-HBc only. The analyse of risk factors showed that age 16-19 years, place of birth outside Goiás, school B and body piercing were statistically associated with HBV infection markers (p < 0.05). All 170 adolescents responded to butang®, and a geometric mean titer (gmt) of 4344 mui/ml was obtained. these results reinforce the importance of hepatitis b vaccine in adolescents despite of the hbv regional endemicity, and suggest that three doses of 20 µg of the butang® should guarantee protective anti-hbs levels to individuals at a critical time for hepatitis b acquiring such as latter adolescence and adulthood.

Container productivity, daily survival rates and dispersal of Aedes aegypti mosquitoes in a high income dengue epidemic neighbourhood of Rio de Janeiro: presumed influence of differential urban structure on mosquito biology

Different urban structures might affect the life history parameters of Aedes aegypti and, consequently, dengue transmission. Container productivity, probability of daily survival (PDS) and dispersal rates were estimated for mosquito populations in a high income neighbourhood of Rio de Janeiro. Results were contrasted with those previously found in a suburban district, as well as those recorded in a slum. After inspecting 1,041 premises, domestic drains and discarded plastic pots were identified as the most productive containers, collectively holding up to 80% of the total pupae. In addition, three cohorts of dust-marked Ae. aegypti females were released and recaptured daily using BGS-Traps, sticky ovitraps and backpack aspirators in 50 randomly selected houses; recapture rate ranged from 5-12.2% within cohorts. PDS was determined by two models and ranged from 0.607-0.704 (exponential model) and 0.659-0.721 (non-linear model), respectively. Mean distance travelled varied from 57-122 m, with a maximum dispersal of 263 m. Overall, lower infestation indexes and adult female survival were observed in the high income neighbourhood, suggesting a lower dengue transmission risk in comparison to the suburban area and the slum. Since results show that urban structure can influence mosquito biology, specific control strategies might be used in order to achieve cost-effective Ae. aegypti control.

Ecological Footprint Inequality across countries: the role of environment intensity, income and interaction effects

Recently, White (2007) analysed the international inequalities in Ecological Footprints per capita (EF hereafter) based on a two-factor decomposition of an index from the Atkinson family (Atkinson (1970)). Specifically, this paper evaluated the separate role of environment intensity (EF/GDP) and average income as explanatory factors for these global inequalities. However, in addition to other comments on their appeal, this decomposition suffers from the serious limitation of the omission of the role exerted by probable factorial correlation (York et al. (2005)). This paper proposes, by way of an alternative, a decomposition of a conceptually similar index like Theil’s (Theil, 1967) which, in effect, permits clear decomposition in terms of the role of both factors plus an inter-factor correlation, in line with Duro and Padilla (2006). This decomposition might, in turn, be extended to group inequality components (Shorrocks, 1980), an analysis that cannot be conducted in the case of the Atkinson indices. The proposed methodology is implemented empirically with the aim of analysing the international inequalities in EF per capita for the 1980-2007 period and, amongst other results, we find that, indeed, the interactive component explains, to a significant extent, the apparent pattern of stability observed in overall international inequalities.

Ecological Footprint Inequality across countries: the role of environment intensity, income and interaction effects

Recently, White (2007) analysed the international inequalities in Ecological Footprints per capita (EF hereafter) based on a two-factor decomposition of an index from the Atkinson family (Atkinson (1970)). Specifically, this paper evaluated the separate role of environment intensity (EF/GDP) and average income as explanatory factors for these global inequalities. However, in addition to other comments on their appeal, this decomposition suffers from the serious limitation of the omission of the role exerted by probable factorial correlation (York et al. (2005)). This paper proposes, by way of an alternative, a decomposition of a conceptually similar index like Theil’s (Theil, 1967) which, in effect, permits clear decomposition in terms of the role of both factors plus an inter-factor correlation, in line with Duro and Padilla (2006). This decomposition might, in turn, be extended to group inequality components (Shorrocks, 1980), an analysis that cannot be conducted in the case of the Atkinson indices. The proposed methodology is implemented empirically with the aim of analysing the international inequalities in EF per capita for the 1980-2007 period and, amongst other results, we find that, indeed, the interactive component explains, to a significant extent, the apparent pattern of stability observed in overall international inequalities. Key words: ecological footprint; international environmental distribution; inequality decomposition

A-1A Supplemental Security Income Program, January 2004

Monthly report from the Iowa Department of Human Services on Supplemental Security Income Program (SSI).

Severe traumatic brain injury in a high-income country: an epidemiological study.

This adult cohort determined the incidence and patients' short-term outcomes of severe traumatic brain injury (sTBI) in Switzerland and age-related differences. A prospective cohort study with a follow-up at 14 days was performed. Patients ≥16 years of age sustaining sTBI and admitted to 1 of 11 trauma centers were included. sTBI was defined by an Abbreviated Injury Scale of the head (HAIS) score >3. The centers participated from 6 months to 3 years. The results are presented as percentages, medians, and interquartile ranges (IQRs). Subgroup analyses were performed for patients ≤65 years (younger) and >65 (elderly). sTBI was observed in 921 patients (median age, 55 years; IQR, 33-71); 683 (74.2%) were male. Females were older (median age, 67 years; IQR, 42-80) than males (52; IQR, 31-67; p<0.00001). The estimated incidence was 10.58 per 100,000 inhabitants per year. Blunt trauma was observed in 879 patients (95.4%) and multiple trauma in 283 (30.7%). Median Glasgow Coma Score (GCS) on the scene was 9 (IQR 4-14; 8 in younger, 12 in elderly) and in emergency departments 5 (IQR, 3-14; 3 in younger, 8 in elderly). Trauma mechanisms included the following: 484 patients with falls (52.6%; younger, 242 patients [50.0%]; elderly, 242 [50.0%]), 291 with road traffic accidents (31.6%; younger, 237 patients [81.4%]; elderly, 54 [18.6%]), and 146 with others (15.8%). Mortality was 30.2% (24.5% in younger, 40.9% in elderly). Median GCS at 14 days was 15 (IQR, 14-15) without differences among subgroups. Estimated incidence of sTBI in Switzerland was low, age was high, and mortality considerable. The elderly had higher initial GCS and a higher death rate, but high GCS at 14 days.

A-1A Supplemental Security Income Program, February 2004

Monthly report from Iowa Department of Human Services on income.

A-1A Supplemental Security Income Program, March 2004

Monthly report from the Iowa Department of Human Services on Supplemental Security Income Program (SSI).

A-1A Supplemental Security Income Program, April 2004

Monthly report from the Iowa Department of Human Services on income.

A-1A Supplemental Security Income Program, May 2004

Monthly report from Iowa Department of Human Services on income.