Diabetes Prevention Programme and socioeconomic inequalities in Type 2 Diabetes in England

 

The National Diabetes Prevention Programme (DPP) in England is a behavioural intervention for preventing Type 2 Diabetes Mellitus (T2DM) among people with non-diabetic hyperglycaemia (NDH, HbA1c 42-47 mmol/mol or 6.0-6.4%). How this programme affects inequalities by age, gender, disability, ethnicity, or deprivation is not known. We used multinomial logistic regression models to compare population characteristics at three stages along the prevention programme pathway: prevalence of NDH [using survey data from UK Household Longitudinal Study (N = 794) and Health Survey for England (N = 1,383)]; identification in primary care and offer of the programme [using administrative data from the National Diabetes Audit (N = 1,267,350)]; and programme participation [using programme provider records (N = 98,024)]). Younger adults (aged under 40) [4% of the NDH population (95% CIs 2%-6%)] and older adults (aged 80 and above) [12% (95%CIs 10%-14%] were both underrepresented amongst DPP participants [2% of DPP participants (95%CIs 1.8%-2.2%) and 8% (95%CIs 7.7%-8.3%) respectively]. People with disabilities were underrepresented in the DPP [15% (95%CIs 14.9%-15.1%) vs 60% (95%CIs 58%-62%)] compared to the general population. People living in more deprived areas were under-represented [14% (95% CIs 13.7%-14.3%) vs 20% (95%CIs 16%-24%) in the general population]. Ethnic minorities were overrepresented [36% (95%CIs 35.8%-36.2%) vs 13% (95%CIs 9%-17%) in the general population] among DPP referrals, though the proportion dropped at programme completion stage [19% (95%CI 18.5%-19.5%)]. The DPP has the potential to reduce ethnic inequalities but may widen socioeconomic, age, and disability-related inequalities in T2DM. Whilst ethnic minority groups are overrepresented at identification and offer stage, efforts are required to support the completion of the programme. Programme providers should target underrepresented groups to ensure equitable access and narrow inequalities in T2DM.

Key messages

• The DPP intervention may result in a widening of socioeconomic and disability related inequalities amongst people with NDH as the programme had fewer adults in deprived areas and with a disability.

• The programme has the potential to reduce ethnic inequalities, but efforts are required to support the completion of the programme by minority ethnic groups.

24 Loneliness, Social Isolation and Frailty Among Older Adults in England: Results From the English Longitudinal Study of Ageing

Introduction

Ten percent of over 65 s and between a quarter and half of over 85 s are frail. Loneliness and social isolation are associated with increased falls, rates of hospitalisation and mortality. Lonely and socially isolated older adults may also be at risk of frailty. We examined the relationship between loneliness, social isolation and incident frailty among older adults in England longitudinally over 12 years.

Methods

The study sample are 9,171 older adults aged ≥50 years participating in a population representative longitudinal panel survey, the English Longitudinal Study of Ageing Waves 2–8. To define frailty across the biannual waves, we used the Frailty Index (FI), analysed continuously and into categories (FI ≤0.08 non-frail, 0.08–0.25 pre-frail and ≥ 0.25–1 frail). We used baseline (Wave 2): loneliness measure using the UCLA 3-item loneliness scale; social isolation measure using previously reported method (Banks et al. The Institute for Fiscal Studies. 2006.). Both were categorised into low/medium/high. To examine relationships, we used linear mixed methods modelling (for the continuous FI), and Cox proportional hazard model (for the categorical FI).

Results

Loneliness (β = 0.023; 95% CI = 0.022, 0.025) and social isolation (β = 0.007; 95% CI = 0.003, 0.010) were significantly associated with increased FI, after adjusting for cofounders (gender, age, marital status, smoking status and wealth). There was a 60% greater relative risk of belonging to the frail class with a medium loneliness score compared to low (HR = 1.570; 95% CI 1.492, 1.652) and a 160% greater relative risk with high loneliness score compared to low (HR = 2.621; 95% CI 2.488, 2.761). Although less pronounced, there was a 1% greater relative risk of developing frailty with a medium social isolation score compared to low (HR = 1.010, 95% CI 1.010, 1.197) and a 30% greater relative risk with high social isolation score compared to low (HR = 1.267; 95% CI 1.154, 1.390).

Conclusions

Our research indicates both loneliness and social isolation increase risk of developing frailty, expanding on previous evidence. This provides further support to the importance of understanding approaches to promote social inclusion of older adults.

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.

Sociodemographic disparities in non-diabetic hyperglycaemia and the transition to type 2 diabetes: evidence from the English Longitudinal Study of Ageing

AIM

To explore whether there are social inequalities in non-diabetic hyperglycaemia (NDH) and in transitions to type 2 diabetes mellitus and NDH low-risk status in England.

METHODS

Some 9143 men and women aged over 50 years were analysed from waves 2, 4, 6 and 8 (2004-2016) of the English Longitudinal Study of Ageing (ELSA). Participants were categorized as: NDH 'low-risk' [HbA_1c < 42 mmol/mol (< 6.0%)], NDH [HbA_1c 42-47 mmol/mol (6.0-6.4%)] and type 2 diabetes [HbA_1c > 47 mmol/mol (> 6.4%)]. Logistic regression models estimated the association between sociodemographic characteristics and NDH, and the transitions from NDH to diagnosed or undiagnosed type 2 diabetes and low-risk status in future waves.

RESULTS

NDH was more prevalent in older participants, those reporting a disability, those living in deprived areas and in more disadvantaged social classes. Older participants with NDH were less likely to progress to undiagnosed type 2 diabetes [odds ratio (OR) 0.27, 95% confidence interval (CI) 0.08, 0.96]. NDH individuals with limiting long-standing illness (OR 1.72, 95% CI 1.16, 2.53), who were economically inactive (OR 1.60, 95% CI 1.02, 2.51) or from disadvantaged social classes (OR 1.63, 95% CI 1.02, 2.61) were more likely to progress to type 2 diabetes. Socially disadvantaged individuals were less likely (OR 0.64, 95% CI 0.41, 0.98) to progress to NDH low-risk status.

CONCLUSIONS

There were socio-economic differences in NDH prevalence, transition to type 2 diabetes and transition to NDH low-risk status. Disparities in transitions included the greater likelihood of disadvantaged social groups with NDH developing type 2 diabetes and greater likelihood of advantaged social groups with NDH becoming low-risk. These socio-economic differences should be taken into account when targeting prevention initiatives.

Can sleep disturbance influence changes in mental health status? Longitudinal research evidence from ageing studies in England and Japan

BACKGROUND

Little is known about the role of sleep disturbance in relation to changes in depressive states. We used data obtained from the participants aged 65 and over in the English Longitudinal Study of Ageing (ELSA, waves four and five, N = 3108) and the Japan Gerontological Evaluation Study (JAGES, 2010 and 2013 sweeps, N = 7527) to examine whether sleep disturbance is longitudinally associated with older adults' patterns of depressive states.

METHODS

We created four patterns of depressive states (non-case, recovered, onset, repeatedly depressive) by combining responses to the measures (scoring four or more on seven items from the Center for Epidemiological Studies Depression Scale for the ELSA participants and scoring five or more for the Geriatric Depression Scale-15 for the JAGES participants) obtained at the baseline and follow-up. Sleep disturbance was assessed through responses to three questions on sleep problems. Age, sex, partnership status, household equivalised income, alcohol and cigarette use, and physical function were treated as confounders in this study. Additionally, information on sleep medication was available in JAGES and was included in the statistical models.

RESULTS

More ELSA participants were non-depressive cases and reported no sleep disturbances compared with the JAGES participants. Findings from multinomial logistic regression analysis showed that more sleep disturbance was associated with the onset group in ELSA (RRR = 2.37, 95% CI = 1.44-3.90) and JAGES (RRR = 2.41, 95% CI = 1.79-3.25) as well as the recovery (RRR = 3.42, 95% CI = 1.98-5.90, RRR = 2.71, 95% CI = 1.95-3.75) and repeatedly depressed group (RRR = 7.24, 95% CI = 3.91-13.40, RRR = 5.16, 95% CI = 3.82-6.98).

CONCLUSIONS

Findings suggest that the association between sleep disturbance and depression in older adults is complex.

The impact of cash transfers to poor women in Colombia on BMI and obesity: prospective cohort study

Introduction

Prevalence of obesity is rising in Latin America, is increasingly affecting socially disadvantaged groups, particularly women. Conditional cash transfers are recently established welfare interventions in the region. One, Familias en Accion, transfers ~20% of average monthly income to women in Colombia’s poorest families. Previous work has found that families buy more food as a result.

We tested the hypothesis that participation in Familias would be associated with increasing body mass index (BMI) in participating women

Methods

Women from participating areas and control areas (matched on environmental and socioeconomic criteria) were surveyed in 2002 and 2006. Pregnant, breast-feeding or women aged<18 or with BMI<18.5kg/m² were excluded. The sample comprises 835 women from control and 1238 from treatment areas. Because some treatment areas started Familias shortly before baseline data collection, a dummy variable was created that identified exposure independent of time-point or area. Follow-up was 61.5%.

BMI was measured by trained personnel using standardized techniques. Overweight was defined as BMI>25kg/m² and obesity as >30kg/m². The effect of Familias was estimated using linear regression (or logistic regression for dichotomous outcomes) in a double-difference technique, controlling for several individual, household and area characteristics, including parity and baseline BMI, using robust standard-errors clustered at area-level in an intention-to-treat analysis.

Results

At baseline, women’s mean age was 33.3 years and mean BMI 25.3kg/m²; 12.3% women were obese. After adjustment, exposure to Familias was significantly associated with increased BMI (β=0.25, 95% CI 0.03, 0.47; p=0.03). Age (β=0.09; 95%CI 0.06, 0.13; p<0.001) and household wealth (β=0.78; 95%CI 0.41, 1.15; p<0.001) were also positively associated with BMI. Familias was also associated with increased odds of obesity (O.R.=1.27 95%CI 1.03, 1.57; p=0.03), as was age (O.R.=1.04; 95%CI 1.02, 1.06; p=0.001).

Conclusion

Conditional cash transfers to poor women in Colombia are independently associated with increasing BMI and obesity risk. Although conditional cash transfers are generally regarded as popular and successful schemes, parallel interventions at individual, household and community level are needed to avoid unanticipated adverse outcomes.

Work stress and health in Western European and post-communist countries: an East-West comparison study

BACKGROUND

There is evidence that psychosocial factors at work influence the risk of poor health in Western societies, but little is known about the effect of work stress in the former communist countries. The aim of this paper is to compare the association of work stress with self-rated health in Western European and post-communist countries.

METHODS

Data from four epidemiological studies were used: the HAPIEE study (Poland, Russia and the Czech Republic), the Hungarian Epidemiological Panel (Hungary), the Heinz Nixdorf Recall study (Germany) and the Whitehall II study (UK). The overall sample consisted of 18 494 male and female workers aged 35-65 years.

RESULTS

High effort-reward imbalance at work was associated with poor self-rated health. The adjusted odds ratios for the highest versus lowest quartile of the effort-reward ratio were 3.8 (95% CI 1.9 to 7.7) in Hungary, 3.6 (95% CI 2.3 to 5.7) in the Czech Republic, 2.5 (95% CI 1.5 to 4.1) in the UK, 2.3 (95% CI 1.6 to 3.5) in Germany, 1.5 (95% CI 1.0 to 2.1) in Poland and 1.4 (95% CI 1.1 to 1.8) in Russia. The differences in odds ratios between countries were statistically significant (p<0.05). A similar pattern was observed for the effect of overcommitment on poor health.

CONCLUSION

The association of effort-reward imbalance at work and of a high degree of work-related overcommitment with poor self-rated health was seen in all countries, but the size of the effects differed considerably. It does not appear that the effects in Eastern Europe are systematically stronger than in the West.

Job strain and symptoms of angina pectoris among British and Finnish middle-aged employees

BACKGROUND

High job strain has been linked with cardiovascular outcomes. This study aimed to examine whether job strain is associated with angina pectoris symptoms among British and Finnish non-manual employees.

METHODS

Postal questionnaire survey data among 40-60-year-old employees of the British Whitehall II Study (n = 4551, 27% women) and the Finnish Helsinki Health Study (n = 7605, 83% women) cohort were analysed. Angina pectoris symptoms were the outcome in logistic regression analysis. Karasek's job strain was examined. Models were adjusted first for age, second for occupational class and finally for smoking, heavy drinking, physical inactivity, unhealthy food habits and obesity.

RESULTS

Angina pectoris symptoms were reported by 5% of women and 3% of men in Britain, and by 6% of women and 4% of men in Finland. High job strain was associated with angina pectoris symptoms among men in Britain (OR 2.08; CI 95% 1.07 to 4.02) and women in Finland (OR 1.90; CI 95% 1.36 to 2.63) independent of age, occupational class, and behavioural risk factors. However, similar associations between job strain and angina pectoris symptoms were not observed among men in Finland or women in Britain.

CONCLUSION

The results yielded partial support for the association between job strain and angina pectoris symptoms across national contexts.

Social gradients in oral and general health

There are social gradients in general health and oral health. However, there have been few studies addressing whether similarities exist in the gradients in oral and general health in the same individuals. We set out to test, using data from NHANES III, whether there are social gradients in oral health, and whether they resemble the gradients in general health. Income, indicated by poverty-income ratio, and education gradients were examined in periodontal diseases, ischemic heart disease, and perceived oral/general health. Our analysis demonstrated consistent income and education gradients in all outcomes assessed. In the adjusted regression models, the probabilities of having poorer clinical and perceived health were attenuated, but remained significantly higher at each lower level of income and education for most outcomes. The results showed similar income and education gradients in oral and general health, implying commonalities of the social determinants of both oral and general health.

Childhood IQ in relation to obesity and weight gain in adult life: the National Child Development (1958) Study

OBJECTIVE

To examine the relation of childhood intelligence (IQ) test results with obesity in middle age and weight gain across the life course.

METHODS

We analysed data from the National Child Development (1958) Study, a prospective cohort study of 17 414 births to parents residing in Great Britain in the late 1950s. Childhood IQ was measured at age 11 years and body mass index (BMI), an indicator of adiposity, was assessed at 16, 23, 33 and 42 years of age. Logistic regression (in which BMI was categorised into obese and non-obese) and structural equation growth curve models (in which BMI was retained as a continuous variable) were used to estimate the relation between childhood IQ and adult obesity, and childhood IQ and weight gain, respectively.

RESULTS

In unadjusted analyses, lower childhood IQ scores were associated with an increased prevalence of adult obesity at age 42 years. This relation was somewhat stronger in women (OR(per SD decrease in IQ score) [95% CI]: 1.38 [1.26, 1.50]) than men (1.26 [1.15, 1.38]). This association remains statistically significant after adjusting for childhood characteristics, including socio-economic factors, but was heavily attenuated following control for adult characteristics, particularly education (women: 1.11 [0.99, 1.25]; men: 1.10 [0.98, 1.23]). When weight gain between age 16 and 42 years was the outcome of interest, structural equation modelling revealed that education and dietary characteristics in adult life mediated the association with childhood IQ.

CONCLUSIONS

A lower IQ score in childhood is associated with obesity and weight gain in adulthood. In the present study, this relation appears to be largely mediated via educational attainment and the adoption of healthy diets in later life.

Do changes in effort-reward imbalance at work contribute to an explanation of the social gradient in angina?

AIMS

To determine whether an increase in effort-reward imbalance over time increases the risk of angina, and whether such increases are associated with lower occupational position.

METHODS

Effort-reward imbalance (ERI) at work was measured in the Whitehall II occupational cohort of London based civil servants at baseline (1985-88) and in 1997. Coronary heart disease was measured in a self-reported health questionnaire by combining the Rose Angina Questionnaire with doctor diagnosed angina in 2001.

RESULTS

Among men, increase in ERI over time was associated with an increased risk of incident angina. Moreover, as increases in ERI were more common among lower grade civil servants, change in imbalance, to some extent, contributed to explaining the social gradient in angina. Among women, increases in imbalance were not associated with risk of angina, and therefore did not contribute to the explanation of the social gradient.

CONCLUSIONS

Reductions in effort-reward imbalance at work may reduce the risk of coronary heart disease among men.

Social inequalities in health by individual and household measures of social position in a cohort of healthy people

STUDY OBJECTIVE

It is increasingly recognised that different dimensions of social inequality may be linked to health by different pathways. Furthermore, factors operating at the individual level such as employment conditions may affect health in a different way from household level factors. The paper examines the associations between self rated health and four measures of social position- occupational class, household social advantage, personal and household income.

DESIGN

Multilevel logistic regression models were used to predict self rated health using longitudinal data from the British Household panel survey (BHPS) with respondents nested within households. Separate analyses were carried out for economically active and inactive respondents.

SETTING

Interview based surveys of adults living within households that are representative of British households.

PARTICIPANTS

Adult respondents from the BHPS.

MAIN RESULTS

Occupational class has relatively strong effects on the self rated health of the economically active, although household level factors also seem to influence their health. Household social advantage has relatively strong effects on the self rated health of the economically inactive.

CONCLUSIONS

The paper found evidence in support of the view that different dimensions of social inequality have different pathways to self rated health. There are unexplained similarities in health between household members, which require further investigation.

Patients' experiences and satisfaction with health care: results of a questionnaire study of specific aspects of care

OBJECTIVE

To determine what aspects of healthcare provision are most likely to influence satisfaction with care and willingness to recommend hospital services to others and, secondly, to explore the extent to which satisfaction is a meaningful indicator of patient experience of healthcare services.

DESIGN

Postal survey of a sample of patients who underwent a period of inpatient care. Patients were asked to evaluate their overall experience of this episode of care and to complete the Picker Inpatient Survey questionnaire on specific aspects of their care.

SAMPLE

Patients aged 18 and over presenting at five hospitals within one NHS trust in Scotland.

METHOD

3592 questionnaires were mailed to patients' homes within 1 month of discharge from hospital during a 12 month period. Two reminders were sent to non-responders; 2249 (65%) questionnaires were returned.

RESULTS

Almost 90% of respondents indicated that they were satisfied with their period of inpatient care. Age and overall self-assessed health were only weakly associated with satisfaction. A multiple linear regression indicated that the major determinants of patient satisfaction were physical comfort, emotional support, and respect for patient preferences. However, many patients who reported their satisfaction with the care they received also indicated problems with their inpatient care as measured on the Picker Inpatient Survey; 55% of respondents who rated their inpatient episode as "excellent" indicated problems on 10% of the issues measured on the Picker questionnaire.

DISCUSSION

The evidence suggests that patient satisfaction scores present a limited and optimistic picture. Detailed questions about specific aspects of patients' experiences are likely to be more useful for monitoring the performance of various hospital departments and wards and could point to ways in which delivery of health care could be improved.

Development and validation of a short measure of health status for individuals with acute myocardial infarction: the myocardial infarction dimensional assessment scale (MIDAS)

The purpose of this study was to develop and validate a disease-specific health status measure for individuals with myocardial infarction (MI). The development of the myocardial infarction dimensional assessment scale (MIDAS) followed three main stages. Stage 1 consisted of in-depth, semi-structured, exploratory interviews conducted on a sample of 31 patients to identify areas of salience and concern to patients with MI. These interviews generated 48 candidate questions. In stage 2 the 48-item questionnaire was used in a postal survey to identify appropriate rephrasing/shortening, to determine acceptability and to help identify sub-scales of the instrument addressing different dimensions of MI. Finally, in stage 3 the construct validity of MIDAS subscales was examined in relation to clinical and other health outcomes. A single centre (district general hospital) in England was used for stages 1 and 3 and a national postal survey was conducted for stage 2. A total of 410 patients were recruited for the national survey (stage 2). Full data were available on 348 (85%) patients. One hundred and fifty-five patients were recruited to test construct validity (stage 3). The MIDAS contains 35 questions measuring seven areas of health status: physical activity, insecurity, emotional reaction, dependency, diet, concerns over medication and side effects. The measure has high face, internal and construct validity and is likely to prove useful in the evaluation of treatment regimes for MI.

Distinctive features of age-specific fertility profiles in the English-speaking world: common patterns in Australia, Canada, New Zealand and the United States, 1970-98

The paper seeks to identify common features in the fertility patterns of the English-speaking world and provide a model basis for comparison of fertility between countries and over time. Attention is focused on the heterogeneity within the fertility patterns of Australia, Canada, New Zealand, and the United States, similar to that reported earlier for the UK and the Irish Republic. The recent age-specific fertility patterns of these countries display a marked 'bulge' in fertility of women under age 25. A mixture model with two-component Hadwiger functions provides a suitable fit. The heterogeneity thus suggested is related to the proportion of births outside marriage. Additionally, there is some evidence that, in the United States, and lesser extent in New Zealand, this heterogeneity in fertility patterns may be explained by ethnic difference in the timing and number of births.

An assessment of the construct validity of the SF-12 summary scores across ethnic groups

BACKGROUND

The aim of the study was to determine the construct validity of the 12-item Short Form health survey questionnaire (SF-12) across ethnic groups in a large community sample of the United Kingdom.

METHODS

A postal survey was carried out in English using a questionnaire booklet, containing the SF-12 and a number of other items relating to experiences of chronic illness and utilization of health care services. The dataset was the National Survey of NHS Patients. The sample consisted of 1000 residents within each Health Authority in England who were randomly selected from the electoral registers, giving an initial sample of 100000.

RESULTS

A total of 61 426 (61.4 per cent) questionnaires were returned; 94.3 per cent of respondents classified themselves as white and 5.7 per cent classified themselves as members of other ethnic groups. Construct validity of the SF-12 was assessed by comparing results from the two summary scores (the Mental Health Component Summary (MCS) score and the Physical Health Component Summary (PCS) score) with overall self-assessed health and limiting longstanding illness. Although there were generally consistent patterns of association between overall self-assessed health or limiting longstanding illness and the MCS and PCS scores in all the ethnic groups, there were significant differences between the MCS and PCS scores of Indians, Pakistanis and Bangladeshis who understood English fluently and those who did not. Furthermore, there were differences in the completion rates of the SF-12 between ethnic groups and a reversal of the general pattern of increasing MCS scores with increasing age in Bangladeshis.

CONCLUSION

The results indicate that the use of the SF-12 to measure the health of ethnic minorities seems acceptable in most instances, but may prove problematic in those instances where respondents complete the questionnaire via an untrained translator, such as a friend or family member. The systematic differences in MCS and PCS scores between ethnic minorities who understood English fluently and those who did not suggest that the meaning of specific SF-12 items may change when informally translated. Future research using the SF-12 to measure the health status of ethnic minorities in the United Kingdom via postal surveys must include questions on whether respondents completed the questionnaires via informal translations. In general, those wishing to measure the health of members of ethnic groups who are unable to read English might consider using different techniques to gain the information from these groups.

The fear of crime and area differences in health

A number of studies have shown that major health inequalities exist between different areas within the UK. However, there has been some debate about the mechanisms underlying area differences in health. One of the mechanisms which could explain area differences in health is the fear of crime in the local area or neighbourhood. This study examines data from the 1996 British Crime Survey (N=16,090). The fear of crime was found to be associated with self-rated health even after adjusting for health behaviours and a number of individual and household level socio-economic factors. Area differences in self-rated health were reduced to non-significance after health behaviours, socio-economic factors and the fear of crime were adjusted for in the regression model. There is some evidence that fear of crime is associated with health and it may have an important role in explaining area differences in health.

Ethnic and class differences in health in relation to British South Asians: using the new National Statistics Socio-Economic Classification

The paper examines the use of the new measure of social class in the UK, the National Statistics Socio-Economic Classification (NS-SEC) and other socio-economic variables in explaining differences in health between British South Asians and the majority White population. There are a number of hypotheses which try to explain ethnic differences in health and yet there have been relatively few empirical studies which test the explanatory value of these hypotheses. Cross sectional data from the fourth National Survey of Ethnic Minorities (1993-1994) with 2860 white, 1268 Indian and 1771 Pakistani and Bangladeshi adult respondents are analysed. The associations of self-rated health with ethnicity, social class, local area deprivation and standard of living are analysed. Pakistani and Bangladeshi respondents have the poorest self-rated health, followed by Indians. Differences in self-rated health between ethnic groups reduce to non-significance after adjusting for social class, local area deprivation and standard of living. There is some evidence of social class differences in the health of Indians and not much evidence for Pakistanis and Bangladeshis. The NS-SEC is useful in explaining ethnic differences in health. The poorer health of Indians, Pakistanis and Bangladeshis compared to Whites may be largely understood in terms of factors related to occupational social class, material living conditions and local area deprivation.

The new UK National Statistics Socio-Economic Classification (NS-SEC); investigating social class differences in self-reported health status

BACKGROUND

The new UK National Statistics Socio-Economic Classification (NS-SEC) is theoretically based on differences in employment relations and conditions. Differences in employment relations could account for some of the often observed social class differences in health in the United Kingdom. This study investigates the associations of the NS-SEC with a well-validated health outcome measure--the Short Form health survey (SF-36).

METHODS

Data from the Oxford Healthy Lifestyles Survey III (OHLS III, n = 6,454), a cross-sectional survey of adult men and women aged 18-64 randomly selected from the counties of Berkshire, Buckinghamshire, Northamptonshire and Oxfordshire, were analysed. The associations of the NS-SEC with the SF-36 physical and mental summary scores are investigated in a series of regression models controlling for age, lifestyle factors, housing and neighbourhood conditions.

RESULTS

There are significant social class differences in the SF-36 physical and mental summary scores after controlling for age. When lifestyle, housing and neighbourhood conditions are controlled for, these differences reduce to non-significance.

CONCLUSION

The NS-SEC shows significant social class differences in health, further evidence for its construct validity. Social class differences in housing, neighbourhood and lifestyle factors appear to have a large role in understanding class differences in health. As it is grounded in theory, the NS-SEC is likely to prove a valuable tool for explanations of inequalities in health.

Validating self-rated health in different ethnic groups

BACKGROUND

Subjective accounts of health status are increasingly utilized in social surveys and medical research to assess functioning and well-being. Despite the fact that substantial research evidence suggests that self-rated health is meaningful and provides valid and reliable data, some authors have raised concerns that different social groups may interpret the notion of health in different ways, and hence complete health measures in systematically different ways. This study evaluates the validity of using self-rated health status to measure health status in different ethnic groups.

METHODS

Logistic regression models were used to examine the association of self-rated health with more objective measures of morbidity in different ethnic groups.

SAMPLE

Two sources of data were used--the Health Survey for England (HSE) 1991-96 combined file and the Fourth National Survey of Ethnic Minorities (Ethmins4). MEASURES OF HEALTH: Hypertension, presence of cardiovascular disease or diabetes, limiting health and number of visits to a doctor. Self-rated health was measured on 5-point scale ranging from excellent to very poor.

RESULTS

Poorer self-rated health was associated with greater morbidity within each ethnic group. Furthermore, there was little evidence that the association of self-rated health with more objective measures of morbidity differed between ethnic groups.

CONCLUSION

The evidence reported here suggests that the use of a single item measure of self-rated health to measure health status in different ethnic groups is valid. Further research might usefully explore the validity of using more comprehensive profile measures of health status in different ethnic groups.

Social class differences in mortality using the new UK National Statistics Socio-Economic Classification

Social class differences in health in the UK have usually been demonstrated by the Registrar General's social classification (RGSC). It is being replaced by the new UK National Statistics Socio-Economic Classification (NS-SEC). The NS-SEC is explicitly based on differences between employment relations and conditions. The mechanisms underlying social class differences in health remain debatable. Some studies have hypothesised that class differences in work characteristics and employment conditions may explain part of the observed class differences in health. This study investigates the associations of the NS-SEC and other measures of socio-economic status (SES) with mortality outcomes in a 7-year panel study representative of British private households and their members (the British Household Panel Survey, n = 10264). The NS-SEC was neither significantly associated with mortality for respondents of all ages nor with mortality for a younger subsample who were under 65 years at the initial survey. Other measures of SES, especially income and housing tenure showed significant patterns of inequalities in mortality. It may be useful to use other measures of SES along with the NS-SEC when analysing social inequalities in health and mortality.

Recent European fertility patterns: fitting curves to 'distorted' distributions

Recent patterns of fertility in Europe show marked differences between countries. Recent United Kingdom and Irish fertility curves show 'distortions' in terms of a 'bulge' in early age fertility, distinct from the smoother curves of other European countries. These patterns may not be adequately described by mathematical functions used by previous studies to model fertility curves. A mixture model with two component distributions may be more appropriate. The suitability of the simple and mixture Hadwiger functions is examined in relation to the fertility curves of a number of European countries. While the simple Hadwiger model fits recent period age-specific fertility distributions for some countries, others which display a 'bulge' in early age fertility distributions for some countries, others which display a 'bulg' in early age fertility require a mixture Hadwiger model. Some of the parameters of the Hadwiger models appear to be related to familiar demographic indices. The simple and mixture Hadwiger models appear useful in describing and comparing fertility patterns across European countries.

Social inequality in coronary heart disease: a comparison of occupational classifications

The British Registrar General's Social Classification has been strongly criticised for its lack of explanatory value. Furthermore, studies of social inequality in coronary heart disease (CHD) outcomes have often found associations between measures of inequality and heart disease unaccounted by conventional CHD risk factors. Alternative occupational classifications such as the Erikson-Goldthorpe schema and the Cambridge scale could be used to explore potential causal narratives which explain such residual associations. Results from a longitudinal study of adults in Britain show that the Cambridge scale has the strongest association with CHD and part of its strength is due to its strong association with CHD related health behaviours. Women classified by their partner's occupation had stronger associations with CHD compared to classifications by their own occupation. Job strain may not account for the observed social inequalities in CHD. The Cambridge scale shows stronger patterns of linear association with CHD than the RGSC and should be included in other studies of social inequality in health in the U.K.