Type 2 diabetes mellitus in people with severe mental illness: inequalities by ethnicity and age. Cross-sectional analysis of 588 408 records from the UK.

AIMS: To investigate whether the association of severe mental illness with Type 2 diabetes varies by ethnicity and age. METHODS: We conducted a cross-sectional analysis of data from an ethnically diverse sample of 588 408 individuals aged ≥18 years, registered to 98% of general practices (primary care) in London, UK. The outcome of interest was prevalent Type 2 diabetes. RESULTS: Relative to people without severe mental illness, the relative risk of Type 2 diabetes in people with severe mental illness was greatest in the youngest age groups. In the white British group the relative risks were 9.99 (95% CI 5.34, 18.69) in those aged 18-34 years, 2.89 (95% CI 2.43, 3.45) in those aged 35-54 years and 1.16 (95% CI 1.04, 1.30) in those aged ≥55 years, with similar trends across all ethnic minority groups. Additional adjustment for anti-psychotic prescriptions only marginally attenuated the associations. Assessment of estimated prevalence of Type 2 diabetes in severe mental illness by ethnicity (absolute measures of effect) indicated that the association between severe mental illness and Type 2 diabetes was more marked in ethnic minorities than in the white British group with severe mental illness, especially for Indian, Pakistani and Bangladeshi individuals with severe mental illness. CONCLUSIONS: The relative risk of Type 2 diabetes is elevated in younger populations. Most associations persisted despite adjustment for anti-psychotic prescriptions. Ethnic minority groups had a higher prevalence of Type 2 diabetes in the presence of severe mental illness. Future research and policy, particularly with respect to screening and clinical care for Type 2 diabetes in populations with severe mental illness, should take these findings into account.

The consequences of self-reported vision change in later-life: evidence from the English Longitudinal Study of Ageing.

OBJECTIVES: Using longitudinal data, we investigate whether deterioration and improvement in self-reported vision among people aged 50 years and older in England experience subsequent changes in various aspects of economic, psychological and social well-being. STUDY DESIGN: Longitudinal random effects modelling. METHODS: We used six waves of the biennial English Longitudinal Study of Ageing spanning 2002-2012. Self-reported vision change was classed as an increase or decrease in self-reported level of vision between each wave and effects on depression, satisfaction with life, quality of life, social engagement and equivalized income were examined. Models were adjusted for health, employment and wealth. RESULTS: All well-being outcomes worsened among respondents experiencing deterioration in self-reported vision, and declined most among individuals with the poorest self-reported vision at baseline and follow-up. Results were significant in fully adjusted models for those deteriorating from optimal to suboptimal vision levels. Improvement in self-reported vision was associated with significantly better satisfaction with life, quality of life and social engagement when the improvement was from suboptimal to optimal vision levels. CONCLUSIONS: Preventing deterioration in vision is the best means of ensuring well-being is not negatively affected by changes to sight. In addition, ensuring vision problems are corrected where possible may lead to improvements in well-being.

Ethnicity and cardiovascular health inequalities in people with severe mental illnesses: protocol for the E-CHASM study.

PURPOSE: People with severe mental illnesses (SMI) experience a 17- to 20-year reduction in life expectancy. One-third of deaths are due to cardiovascular disease. This study will establish the relationship of SMI with cardiovascular disease in ethnic minority groups (Indian, Pakistani, Bangladeshi, black Caribbean, black African and Irish), in the UK. METHODS: E-CHASM is a mixed methods study utilising data from 1.25 million electronic patient records. Secondary analysis of routine patient records will establish if differences in cause-specific mortality, cardiovascular disease prevalence and disparities in accessing healthcare for ethnic minority people living with SMI exist. A nested qualitative study will be used to assess barriers to accessing healthcare, both from the perspectives of service users and providers. RESULTS: In primary care, 993,116 individuals, aged 18+, provided data from 186/189 (98 %) practices in four inner-city boroughs (local government areas) in London. Prevalence of SMI according to primary care records, ranged from 1.3-1.7 %, across boroughs. The primary care sample included Bangladeshi [n = 94,643 (10 %)], Indian [n = 6086 (6 %)], Pakistani [n = 35,596 (4 %)], black Caribbean [n = 45,013 (5 %)], black African [n = 75,454 (8 %)] and Irish people [n = 13,745 (1 %)]. In the secondary care database, 12,432 individuals with SMI over 2007-2013 contributed information; prevalent diagnoses were schizophrenia [n = 6805 (55 %)], schizoaffective disorders [n = 1438 (12 %)] and bipolar affective disorder [n = 4112 (33 %)]. Largest ethnic minority groups in this sample were black Caribbean [1432 (12 %)] and black African (1393 (11 %)). CONCLUSIONS: There is a dearth of research examining cardiovascular disease in minority ethnic groups with severe mental illnesses. The E-CHASM study will address this knowledge gap.

Race/ethnic disparities in early childhood BMI, obesity and overweight in the United Kingdom and United States.

OBJECTIVE: Racial/ethnic patterning in the risk of obesity and overweight has been observed in early childhood; however, little research has compared these disparities between the United Kingdom (UK) and United States (US) using detailed ethnic classifications. We use comparable nationally representative cohort studies to examine racial/ethnic disparities in mean body mass index (BMI) and in the odds of obesity/overweight in the UK and US. The contribution of sociodemographic, cultural and family routine factors are assessed. METHODS: Data on BMI, obesity and overweight in 5-year-old children from the MCS (Millennium Cohort Study) and ECLS-B (Early Childhood Longitudinal Study, Birth Cohort) were examined. We investigated race/ethnic disparities in mean BMI and in the odds of obesity and overweight, as compared to normal weight. We assessed the independent contribution of sociodemographic, cultural and family routine factors to observed disparities. RESULTS: In the UK, after adjustment for sociodemographic, cultural and family routine factors and maternal BMI, we found Black Caribbean children to have higher odds ratio (OR=1.7, confidence interval (CI)=1.1-2.6), Pakistani children to have lower odds of obesity (OR=0.60, CI=0.37-0.96) and Black African children were more likely to be overweight (OR=1.40, CI=1.04-1.88). In the US, in fully adjusted models, there were no race/ethnic disparities in children's odds of obesity and overweight. CONCLUSION: Disparities for Bangladeshi children in the UK and Mexican, other Hispanic and American Indian children in the US can be explained by socioeconomic disadvantage, whereas a range of cultural and family characteristics partially explain disparities for other groups in the UK. Future public health initiatives focused on reducing risk of overweight and obesity should consider the diverse socioeconomic and cultural profiles of all race/ethnic groups.

Ethnic inequities in multimorbidity among people with psychosis: a retrospective cohort study.

AIMS: Research shows persistent ethnic inequities in mental health experiences and outcomes, with a higher incidence of illnesses among minoritised ethnic groups. People with psychosis have an increased risk of multiple long-term conditions (MLTC; multimorbidity). However, there is limited research regarding ethnic inequities in multimorbidity in people with psychosis. This study investigates ethnic inequities in physical health multimorbidity in a cohort of people with psychosis. METHODS: In this retrospective cohort study, using the Clinical Records Interactive Search (CRIS) system, we identified service-users of the South London and Maudsley NHS Trust with a schizophrenia spectrum disorder, and then additional diagnoses of diabetes, hypertension, low blood pressure, overweight or obesity and rheumatoid arthritis. Logistic and multinomial logistic regressions were used to investigate ethnic inequities in odds of multimorbidity (psychosis plus one physical health condition), and multimorbidity severity (having one or two physical health conditions, or three or more conditions), compared with no additional health conditions (no multimorbidity), respectively. The regression models adjusted for age and duration of care and investigated the influence of gender and area-level deprivation. RESULTS: On a sample of 20 800 service-users with psychosis, aged 13-65, ethnic differences were observed in the odds for multimorbidity. Controlling for sociodemographic factors and duration of care, compared to White British people, higher odds of multimorbidity were found for people of Black African [adjusted Odds Ratio = 1.41, 95% Confidence Intervals (1.23-1.56)], Black Caribbean [aOR = 1.79, 95% CI (1.58-2.03)] and Black British [aOR = 1.64, 95% CI (1.49-1.81)] ethnicity. Reduced odds were observed among people of Chinese [aOR = 0.61, 95% CI (0.43-0.88)] and Other ethnic [aOR = 0.67, 95% CI (0.59-0.76)] backgrounds. Increased odds of severe multimorbidity (three or more physical health conditions) were also observed for people of any Black background. CONCLUSIONS: Ethnic inequities are observed for multimorbidity among people with psychosis. Further research is needed to understand the aetiology and impact of these inequities. These findings support the provision of integrated health care interventions and public health preventive policies and actions.

Frailty among Older Adults and Its Distribution in England.

BACKGROUND: Information on the spatial distribution of the frail population is crucial to inform service planning in health and social care. OBJECTIVES: To estimate small-area frailty prevalence among older adults using survey data. To assess whether prevalence differs between urban, rural, coastal and inland areas of England. DESIGN: Using data from the English Longitudinal Study of Ageing (ELSA), ordinal logistic regression was used to predict the probability of frailty, according to age, sex and area deprivation. Probabilities were applied to demographic and economic information in 2020 population projections to estimate the district-level prevalence of frailty. RESULTS: The prevalence of frailty in adults aged 50+ (2020) in England was estimated to be 8.1 [95% CI 7.3-8.8]%. We found substantial geographic variation, with the prevalence of frailty varying by a factor of 4.0 [3.5-4.4] between the most and least frail areas. A higher prevalence of frailty was found for urban than rural areas, and coastal than inland areas. There are widespread geographic inequalities in healthy ageing in England, with older people in urban and coastal areas disproportionately frail relative to those in rural and inland areas. CONCLUSIONS: Interventions aimed at reducing inequalities in healthy ageing should be targeted at urban and coastal areas, where the greatest benefit may be achieved.

Dutch versus English advantage in the epidemic of central and generalised obesity is not shared by ethnic minority groups: comparative secondary analysis of cross-sectional data.

BACKGROUND: Ethnic minority groups in Western European countries tend to have higher levels of overweight than the majority populations for reasons that are poorly understood. Investigating relative differences between countries could enable an investigation of the importance of national context in determining these inequalities. OBJECTIVE: To explore: (1) whether Indian and African origin populations in England and the Netherlands are similarly disadvantaged compared with the White populations in terms of the prevalence of overweight and central obesity; (2) whether the previously known Dutch advantage of relatively low overweight prevalence is also observed in Dutch ethnic minority groups and (3) the contribution of health behaviour and socio-economic position to the differences observed. METHODS: Secondary analyses of population-based studies of 16 406 participants from England and the Netherlands. Prevalence ratios were estimated using regression models. RESULTS: Except for African men, ethnic minority groups in both countries had higher rates of overweight and central obesity than their White counterparts. However, the Dutch minority groups were relatively more disadvantaged than English minority groups as compared with the majority populations. The Dutch advantage of the low prevalence of obesity was only seen in White men and women and African men. In contrast, English-Indian (prevalence ratio=0.87, 95% confidence interval (CI): 0.81-0.93) and English-Caribbean (prevalence ratio=0.82, 95% CI: 0.76-0.89) women were less centrally obese than their Dutch equivalents. The Dutch-Indian men were very similar to the English-Indian men. The contribution of health behaviour and socio-economic position to the observed differences were small. CONCLUSION: Contrary to the patterns in White groups, the Dutch ethnic minority women were more obese than their English equivalents. More work is needed to identify factors that may contribute to these observed differences.

Objective and perceived ethnic density and health: findings from a United Kingdom general population survey.

Studies indicate an ethnic density effect, whereby an increasing proportion of persons of the same ethnicity as oneself (co-ethnics) in one's area of residence is associated with reduced risk of morbidity among ethnic minorities, though evidence is mixed. Measures of ethnic density are commonly taken from small-area census data using predefined categories of ethnicity. In a United Kingdom study, the authors compared these measures with perceived ethnic density, based on self-reported proportion of co-ethnics in the area. Using 2005 Home Office Citizenship Survey data linked to the 2001 United Kingdom Census, they found moderate-sized correlations between perceived and measured ethnic density which varied across ethnic groups (r = 0.34-0.65). Perceived ethnic density underestimated measured levels for whites and overestimated measured levels for ethnic minorities. Compared with participants in areas where less than half of residents were co-ethnics, those reporting a perceived ethnic density of more than half tended to have less limiting long-term illness (for all ethnic minorities combined, odds ratio = 0.81, 95% confidence interval: 0.63, 1.04) after adjustment for age, sex, socioeconomic position, ethnicity, area deprivation, and measured ethnic density. After adjustment for perceived ethnic density, there was no evidence of a protective association for measured ethnic density, except for Caribbeans. Perceived ethnic density may reflect individual experiences of frequency and intensity of contact with co-ethnics, which may explain why it was more consistently related to lower morbidity risk.

Why does birthweight vary among ethnic groups in the UK? Findings from the Millennium Cohort Study.

BACKGROUND: Birthweight varies according to ethnic group, but it is not clear why such differences exist. We examine the contribution of socioeconomic, maternal and behavioural factors to differences in mean birthweight and the prevalence of low birthweight across ethnic groups. METHODS: Data from the nationally representative UK Millennium Cohort Study (n = 16,157) on White, Indian, Pakistani, Bangladeshi, Black Caribbean and Black African infants were analysed. Cohort members were born in 2000-02, and data on birthweight, maternal, infant, behavioural and socioeconomic factors were collected by home interviews. RESULTS: Indian, Pakistani and Bangladeshi infants were 280-350 g lighter, and 2.5 times more likely to be low birthweight compared with White infants. Black Caribbean infants were 150 g and Black African infants 70 g lighter compared with White infants, and Black Caribbean and Black African infants were 60% more likely to be low birthweight compared with White infants. For Black Caribbean, Black African, Bangladeshi and Pakistani infants, socioeconomic factors were important in explaining birthweight differences and, for Indian and Bangladeshi infants, maternal and infant factors were important in explaining birthweight differences. CONCLUSION: Future policies aimed at reducing inequalities in birthweight must pay attention to the different socioeconomic and culturally-related profiles of ethnic minority groups in the UK.

Erectile dysfunction and phosphodiesterase type 5 inhibitor use: associations with sexual activities, function and satisfaction in a population sample of older men.

The objective of this study was to examine the association between sexual activities, problems and satisfaction, and ED and PDE5 inhibitor (PDE5i) use. A nationally representative sample of men (n=2612) aged 51-87 years from the English Longitudinal Study of Ageing completed an in-depth Sexual Relationships and Activities Questionnaire. Associations between ED and/or PDE5i use and sexual outcomes were explored using logistic regression models adjusted for age, health and lifestyle factors. PDE5i use in the preceding 3 months was reported by a total of 191 (7%) men, whereas 542 (21%) reported ED but no PDE5i use (untreated ED). Compared with men without ED, PDE5i users were more likely to be sexually active and report more frequent sexual intercourse. Men with untreated ED reported the lowest frequency of sexual activities. Compared with men without ED, both PDE5i users and those with untreated ED were more likely to report being concerned about their level of sexual desire, frequency of sexual activities, erectile function, waking erections and orgasmic experience. PDE5i users were also more concerned about and dissatisfied with their overall sex life than men without ED. This population-based study shows that while PDE5i use is associated with improved sexual functioning, this is not equally reflected in decreased levels of concern and dissatisfaction with their overall sexual health. Clinicians should be aware of this disparity between functional gains and continuing sexual concerns and dissatisfaction, and, where appropriate, offer psychosexual counselling as an adjunct to PDE5i medication.

Birthweight and behavioural problems in children: a modifiable effect?

BACKGROUND: Low birthweight has been shown to predict behavioural problems in children. Less is known about the effect of birthweight, and how this may interact with the social environment in determining behaviour in a general population sample. We have examined the relationship between birthweight and social factors on childhood psychological well-being. METHODS: Cross-sectional analysis of data on 5181 children aged 4-15 years from a randomly selected household population, the 1997 Health Survey for England. The main outcome measures were behavioural problems as defined by the Strengths and Difficulties Questionnaire (SDQ) in relation to birthweight and social environmental factors. RESULTS: Birthweight was a significant predictor of total difficulties score (odds ratio [OR] = 1.27, 95% CI : 1.07, 1.49), hyperactivity in boys (OR = 1.25, 95% CI : 1.05, 1.51), and peer problems in girls (OR = 1.24, 95% CI : 0.99, 1.53). There was a strong social class gradient in the prevalence of behavioural problems for all birthweight tertiles. Bivariate analysis showed that high total difficulties score was significantly more common in lower birthweight tertiles for social classes III non-manual and III manual (P:-value for trend 0.05 and 0.03, respectively). There were smaller, non-significant effects of birthweight on the prevalence of behavioural problems in social class I and II, and IV and V. Statistical tests for an interaction between birthweight and social class were not significant. CONCLUSIONS: Early life factors, such as birthweight and social class have important influences on psychological well-being in children. The birthweight effect is influenced by social factors, with the possibility that an advantaged social environment protects against the development of behavioural problems, and a disadvantaged environment increases the risk of behavioural problems, regardless of birthweight.

Gender differences in marital support following a shared life event.

Previous work has established that women with good marriages are less at risk of depression of clinical severity following a crisis than women in poor quality relationships. Evidence for such protectiveness is less clear for men. The paper examines the relationship between marital quality, onset of depression, and gender following a severely threatening life event. The results show that good quality of marriage related to lower rates of depression for both men and women, although the overall rate for women was higher. For women with a good marital relationship, but for whom support from partner was not forthcoming at the time of the crisis (i.e. the person was "let down"), risk was increased, confirming a result from a study in Islington. The current study shows that the same set of findings holds for men. Gender differences did emerge when the subjective need for support within the marital relationship is taken into account, with women expressing greater need. However, such a desire for support was not necessarily translated into support-seeking behaviour as in a poor relationship turning to a partner was frequently inopportune. Women were also more likely to seek support outside the marriage; as in the earlier Islington research this was related to a lower risk of depression for those in a poor relationship. An unexpected finding was that men who received support outside marriage had an increased risk of depression.

Children's emotional and behavioural well-being and the family environment: findings from the Health Survey for England.

Recent trends towards diversity in family structure have posed important challenges for traditional social theories on the family. This critical debate has not, however, had much influence on policy discussions of the impact of diverse family structures on children's psychological health, where two-parent families are presumed ideal. In 1997, the annual Health Survey for England focussed on the health of children and young people. The Strengths and Difficulties Questionnaire (SDQ), used to assess children's psychological health, was administered to the parents of 5705 children aged 4-15 using a self-completion booklet. The effect of family structure, socio-economic indicators, parental working status and parental psychological status on children's psychological health was explored using multi-variate logistic regression models. Findings indicated that the high prevalence of psychological morbidity among children of lone-mothers was a consequence of socio-economic effects. disappearing when benefits receipt, housing tenure and maternal education were taken into account. Socio-economic factors did not, however, explain the higher proportion of psychological morbidity among children with stepparents, or the strong relationship between parents' and children's psychological morbidity.

Behavioural characteristics and accidents: findings from the Health Survey for England, 1997.

This study analysed the relationship between major and minor accidents, and major accidents involving a moving vehicle, and behavioural and emotional factors in children, aged 4-15 years, using the Strengths and Difficulties Questionnaire (SDQ), and adjusting for demographic, socio-economic and family type factors. Data from a large representative national sample of about 6000 children were analysed using simple and multiple logistic regression. The analysis shows that the prevalence of SDQ scales, such as hyperactivity and conduct disorder were significantly higher in boys, lower social classes and step- and single-parent families. After adjusting for the demographic, socio-economic and family type factors, children who scored borderline or high for hyperactivity were almost two times more likely to report having major accidents. Children who scored high for hyperactivity and emotional symptoms were one and a half times more likely to report having minor accidents. For major accidents involving moving vehicles, the relationships with the behavioural and emotional factors were generally stronger than for major accidents in general. Hyperactivity, in particular, was significantly associated with the occurrence of major and minor accidents, and major accidents involving moving vehicles. The behavioural risk factors were significantly more common in the lower social classes, families receiving benefits and step- and single-parent families.

South Asian people and heart disease: an assessment of the importance of socioeconomic position.

OBJECTIVES: Higher rates of mortality from ischemic heart disease among South Asian people are well established and appear to be unrelated to socioeconomic position. However, traditional indicators of socioeconomic position may be inadequate when making comparisons across ethnic groups. This study investigates these issues in a British morbidity survey. METHODS: The Fourth National Survey was a British cross-sectional study conducted from 1993 to 1994. The study used a national representative community sample, consisting of 2867 white respondents, 2001 Indian respondents, and 1776 Pakistani and Bangladeshi respondents. Data on occupational class and standard of living were used to examine the contribution of socioeconomic factors to differences in rates of reported severe chest pain and diagnosed heart disease. RESULTS: White and Indian respondents had similar rates of reported indicators of heart disease, while Pakistani and Bangladeshi respondents had rates that were considerably higher. There was a clear socioeconomic gradient in reported heart disease for each ethnic group, with those who were poorer having higher rates. Controlling for occupational class made little difference to the greater risk of heart disease found in the Pakistani and Bangladeshi group; however, controlling for a more sensitive indicator of socioeconomic position-standard of living-greatly reduced their disproportionate risk. DISCUSSION: The findings suggest that South Asian people do not share a uniformly greater risk of heart disease. The more economically advantaged South Asian group, Indians, had rates that are similar to those found among white people, while the poorest groups, Pakistanis and Bangladeshis, had rates that are considerably higher. Socioeconomic position predicted risk in each ethnic group and made a key contribution to the higher risk found for Pakistani and Bangladeshi individuals. Other studies may have failed to identify the important contribution of socioeconomic position because the indicators used were too crude.

Socio-economic and ethnic influences on infant feeding practices related to oral health.

OBJECTIVE: To assess the role of socio-economic factors in explaining ethnic differences in two infant feeding practices contra-indicated for dental health: adding sugary foods to a feeding bottle and bottle usage for any type of drink after one year. DESIGN: Secondary analysis of dietary and socio-demographic data from the Office of National Statistics (ONS) survey of infant feeding in Asian families. Regression models examining the impact of ethnicity on the two feeding practices were compared with models which also included eight socio-economic variables. SAMPLE: The ONS survey collected data from a representative sample of minority ethnic groups living in the UK. The sample consisted of 764 Indian, 593 Pakistani, and 477 Bangladeshi families and 548 White families by the final stage of the study. RESULTS: Significant socio-economic differences were identified between the different ethnic groups in the sample. The Bangladeshi group were the most disadvantaged and deprived group. Regression analyses showed that inclusion of socio-economic variables added significantly to models based solely on ethnicity for the two selected feeding practices. There was a considerable drop in the odds ratios for ethnicity when socioeconomic variables were included in models for adding sugary foods to the bottle. However, this effect was less evident in models predicting bottle usage at fifteen months. CONCLUSION: While ethnicity may influence infant feeding practices, when socio-economic factors are considered it appears to be a less important determinant for some of these behaviours.

The ethnic density effect: results from a national community survey of England and Wales.

Using data from a community survey of 5196 ethnic minority and 2867 white respondents, together with data on local group concentration from the 1991 Census, the hypothesis was tested that ethnic group concentration is associated with lower levels of reported psychiatric symptoms. The hypothesis was broadly confirmed, both for within- and between-group differences. However, the effect was found to be modest in size and in one group, the Pakistani sample, was reversed. The findings are inconsistent with an explanation based on selection or drift. Linguistic factors contributed to, but did not explain the effects. Evidence on victimisation and mutual support suggests that social causation, in the form of reduced exposure to direct prejudice and increased social support, is a likely cause of the effect.

Intergenerational continuities of ethnic inequalities in general health in England.

BACKGROUND: Previous research strongly suggests that ethnic minority groups are more likely to suffer a poorer health profile compared with the overall population, although it is not clear whether these inequalities persist over generations. This study aimed to establish the degree to which ethnic inequalities in health are transmitted from the first to the second generation, and to determine the extent to which intergenerational changes in socioeconomic status and health behaviours might explain any variation that exists. METHODS: Data from the 1999 and 2004 Health Surveys for England assessed the prevalence of fair/poor general health across first (n = 4492) and second (n = 5729) generations of six ethnic minority populations. A white population was selected as reference (n = 18 407). The risk of fair/poor general health was estimated by applying logistic regression models and stepwise inclusion of demographic, socioeconomic and behavioural variables. Generational movement relative to the white baseline was assessed for all ethnic groups adjusted for age and sex. RESULTS: No significant differences in levels of reported fair/poor general health were observed between generations. After adjusting for improved socioeconomic position, the second generation became more likely to report worse health, whereas adjusting for differences in health behaviours had no effect. The Bangladeshi population showed significant intergenerational improvement in general health relative to the white reference, showing a reduction in the odds ratio (95% CI) from 2.75 (2.14 to 3.56) for the first generation to 1.58 (1.17 to 2.13) in the second generation. CONCLUSION: Ethnic minorities in England report consistent rates of fair/poor general health across generations, despite the health benefits resulting from upward social mobility. These health inequalities are unaffected by changes in health behaviours. Understanding these intergenerational pathways will have important public health policy implications as the migrant population not only ages, but also reproduces.

Ethnic inequalities in access to and outcomes of healthcare: analysis of the Health Survey for England.

BACKGROUND: Ethnic/racial inequalities in access to and quality of healthcare have been repeatedly documented in the USA. Although there is some evidence of inequalities in England, research is not so extensive. Ethnic inequalities in use of primary and secondary health services, and in outcomes of care, were examined in England. METHODS: Four waves of the Health Survey for England were analysed, a representative population survey with ethnic minority oversamples. Outcome measures included use of primary and secondary healthcare services and clinical outcomes of care (controlled, uncontrolled and undiagnosed) for three conditions - hypertension, raised cholesterol and diabetes. RESULTS: Ethnic minority respondents were not less likely to use GP services. For example, the adjusted odds ratios for Indian, Pakistani and Bangladeshi versus white respondents were 1.29 (95% confidence intervals 1.07 to 1.54), 1.32 (1.10 to 1.58) and 1.35 (1.10 to 1.65) respectively. Similarly, there were no ethnic inequalities for the clinical outcomes of care for hypertension and raised cholesterol, and, on the whole, no inequalities in outcomes of care for diabetes. There were ethnic inequalities in access to hospital services, and marked inequalities in use of dental care. CONCLUSION: Ethnic inequalities in access to healthcare and the outcomes of care for three conditions (hypertension, raised cholesterol and diabetes), for which treatment is largely provided in primary care, appear to be minimal in England. Although inequalities may exist for other conditions and other healthcare settings, particularly internationally, the implication is that ethnic inequalities in healthcare are minimal within NHS primary care.

Tackling inequalities in health: evaluating the New Deal for Communities initiative.

OBJECTIVE: To assess health improvement and differential changes in health across various sociodemographic groups in neighbourhood renewal areas. DESIGN AND SETTING: A longitudinal survey of 10,390 residents in New Deal for Communities (NDC) areas and 977 residents in comparator areas in England. Measures and methods: Changes on several outcomes across five domains (health, unemployment, education, crime and the physical environment) were assessed by sex, age, educational and ethnic group. RESULTS: Small overall improvements were seen on all domains in NDC areas but similar improvements were also seen in comparator areas. In NDC areas, higher educational groups were more likely to stop smoking, less likely to develop a limiting long-term illness, more likely to find employment and more likely to participate in education or training (p for trend <0.05). Older people and women were less likely to find employment and experienced smaller increases in income. These patterns were generally mirrored in comparator areas, although the education gradient in participation in education or training was less steep in NDC areas. CONCLUSIONS: Evidence from two-year follow-up does not support an NDC effect, either overall or for particular population groups. Residents with lower education experienced the least favourable health profiles at baseline and the smallest improvements. Programme leaders should consider how to encourage participation among those with the lowest education. A shallower social gradient in participation in education and training in NDC areas and a lack of gradient in income, crime and environmental outcomes indicate that some aspects of the programme may be reaching all sections of the community.