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.

Indicators of inequality: Classification and selection of ethnic health disparity indicators

Classification and selection of ethnic disparity health indicators in New Zealand

Health inequalities - Vulnerable groups - National key resources

Is part of Health inequalities - Vulnerable groups Has part Vulnerable adults (DH)

Health inequalities - Vulnerable groups - Regional key resources

Has part Understanding the health needs of migrants in the South East region Assault Prevention Data Sharing Toolkit

Christians, Muslims, Jews, and their religions

Depending on the context, Christians, Muslims and Jews have constructed their own religion, perceived the religions of others, and articulated relations between religions in different ways. This paper examines the rise in history of the three communities, which came to identify themselves through their religions and have been highly sensitive to differences. It indicates common features and parallels of which adherents may have been more or less conscious. The central question in such research is what persons and groups mean in particular situations when they call themselves Christian, Muslim or Jewish. The variety of personal and group identities in the three religious communities has been concealed partly by religious leaderships concerned with the survival of their flocks, and partly by the use of the general concepts of Christianity, Islam and Judaism with which believers have been called to identify. These concepts have shut people into separate religious pigeonholes and could thus be used to support ethnic, social and other rivalries. This pigeonholing has also confronted more spiritually-oriented people with problems of social identity, religious belonging and spiritual authenticity.

Fluorescence behavioral imaging (FBI) tracks identity in heterogeneous groups of Drosophila.

Distinguishing subpopulations in group behavioral experiments can reveal the impact of differences in genetic, pharmacological and life-histories on social interactions and decision-making. Here we describe Fluorescence Behavioral Imaging (FBI), a toolkit that uses transgenic fluorescence to discriminate subpopulations, imaging hardware that simultaneously records behavior and fluorescence expression, and open-source software for automated, high-accuracy determination of genetic identity. Using FBI, we measure courtship partner choice in genetically mixed groups of Drosophila.

Do you look after someone? And are you from a black or minority ethnic background? (English and translations)

This leaflet is for BME (Black and Minority Ethnic) Carers. Carers can be people of all ages including children, young people, parents, older people. There is a cut off slip for BME Carers to fill in with their details. This information can then be sent to the Carer Worker in their local Trust. Details are on the leaflet.

Ethnic Minorities Mental Health Toolkit - a guide for practitioners

This toolkit considers how mental health is viewed in different cultures, barriers to accessing services, cultural competences in mental health, 'dos and don'ts' quick reference guide. There is also information on interpreting and translation services as well as other support organisations that practitioners can refer clients to.

The ghost of social environments past: dominance relationships include current interactions and experience carried over from previous groups.

Dominance hierarchies pervade animal societies. Within a static social environment, in which group size and composition are unchanged, an individual's hierarchy rank results from intrinsic (e.g. body size) and extrinsic (e.g. previous experiences) factors. Little is known, however, about how dominance relationships are formed and maintained when group size and composition are dynamic. Using a fusion-fission protocol, we fused groups of previously isolated shore crabs (Carcinus maenas) into larger groups, and then restored groups to their original size and composition. Pre-fusion hierarchies formed independently of individuals' sizes, and were maintained within a static group via winner/loser effects. Post-fusion hierarchies differed from pre-fusion ones; losing fights during fusion led to a decline in an individual's rank between pre- and post-fusion conditions, while spending time being aggressive during fusion led to an improvement in rank. In post-fusion tanks, larger individuals achieved better ranks than smaller individuals. In conclusion, dominance hierarchies in crabs represent a complex combination of intrinsic and extrinsic factors, in which experiences from previous groups can carry over to affect current competitive interactions.

Prevalence and clinical aspects of respiratory syncytial virus A and B groups in children seen at Hospital de Clínicas of Uberlândia, MG, Brazil

Respiratory syncytial virus (RSV) is well recognized as the most important pathogen causing acute respiratory disease in infants and young children, mainly in the form of bronchiolitis and pneumonia. Two major antigenic groups, A and B, have been identified; however, there is disagreement about the severity of the diseases caused by these two types. This study investigated a possible association between RSV groups and severity of disease. Reverse transcription-polymerase chain reaction was used to characterize 128 RSV nasopharyngeal specimens from children less than five years old experiencing acute respiratory disease. A total of 82 of 128 samples (64.1%) could be typed, and, of these, 78% were group A, and 22% were group B. Severity was measured by clinical evaluation associated with demographic factors: for RSV A-infected patients, 53.1% were hospitalized, whereas for RSV B patients, 27.8% were hospitalized (p = 0.07). Around 35.0% of the patients presented risk factors for severity (e.g., prematurity). For those without risk factors, the hospitalization occurred in 47.6% of patients infected with RSV A and in 18.2% infected with RSV B. There was a trend for RSV B infections to be milder than those of RSV A. Even though RSV A-infected patients, including cases without underlying condition and prematurity, were more likely to require hospitalization than those infected by RSV B, the disease severity could not to be attributed to the RSV groups.