Development of a novel walkability index for London, United Kingdom: cross-sectional application to the Whitehall II Study.

BACKGROUND: Physical activity is essential for health; walking is the easiest way to incorporate activity into everyday life. Previous studies report positive associations between neighbourhood walkability and walking but most focused on cities in North America and Australasia. Urban form with respect to street connectivity, residential density and land use mix-common components of walkability indices-differs in European cities. The objective of this study was to develop a walkability index for London and test the index using walking data from the Whitehall II Study. METHODS: A neighbourhood walkability index for London was constructed, comprising factors associated with walking behaviours: residential dwelling density, street connectivity and land use mix. Three models were produced that differed in the land uses included. Neighbourhoods were operationalised at three levels of administrative geography: (i) 21,140 output areas, (ii) 633 wards and (iii) 33 local authorities. A neighbourhood walkability score was assigned to each London-dwelling Whitehall II Study participant (2003-04, N = 3020, mean ± SD age = 61.0 years ± 6.0) based on residential postcode. The effect of changing the model specification and the units of enumeration on spatial variation in walkability was examined. RESULTS: There was a radial decay in walkability from the centre to the periphery of London. There was high inter-model correlation in walkability scores for any given neighbourhood operationalisation (0.92-0.98), and moderate-high correlation between neighbourhood operationalisations for any given model (0.39-0.70). After adjustment for individual level factors and area deprivation, individuals in the most walkable neighbourhoods operationalised as wards were more likely to walk >6 h/week (OR = 1.4; 95 % CI: 1.1-1.9) than those in the least walkable. CONCLUSIONS: Walkability was associated with walking time in adults. This walkability index could help urban planners identify and design neighbourhoods in London with characteristics more supportive of walking, thereby promoting public health.

Sample selection, recruitment and participation rates in health examination surveys in Europe--experience from seven national surveys.

BACKGROUND: Health examination surveys (HESs), carried out in Europe since the 1950's, provide valuable information about the general population's health for health monitoring, policy making, and research. Survey participation rates, important for representativeness, have been falling. International comparisons are hampered by differing exclusion criteria and definitions for non-response. METHOD: Information was collected about seven national HESs in Europe conducted in 2007-2012. These surveys can be classified into household and individual-based surveys, depending on the sampling frames used. Participation rates of randomly selected adult samples were calculated for four survey modules using standardised definitions and compared by sex, age-group, geographical areas within countries, and over time, where possible. RESULTS: All surveys covered residents not just citizens; three countries excluded those in institutions. In two surveys, physical examinations and blood sample collection were conducted at the participants' home; the others occurred at examination clinics. Recruitment processes varied considerably between surveys. Monetary incentives were used in four surveys. Initial participation rates aged 35-64 were 45% in the Netherlands (phase II), 54% in Germany (new and previous participants combined), 55% in Italy, and 65% in Finland. In Ireland, England and Scotland, household participation rates were 66%, 66% and 63% respectively. Participation rates were generally higher in women and increased with age. Almost all participants attending an examination centre agreed to all modules but surveys conducted in the participants' home had falling responses to each stage. Participation rates in most primate cities were substantially lower than the national average. Age-standardized response rates to blood pressure measurement among those aged 35-64 in Finland, Germany and England fell by 0.7-1.5 percentage points p.a. between 1998-2002 and 2010-2012. Longer trends in some countries show a more marked fall. CONCLUSIONS: The coverage of the general population in these seven national HESs was good, based on the sampling frames used and the sample sizes. Pre-notification and reminders were used effectively in those with highest participation rates. Participation rates varied by age, sex, geographical area, and survey design. They have fallen in most countries; the Netherlands data shows that they can be maintained at higher levels but at much higher cost.

Impaired glucose metabolism among those with and without diagnosed diabetes and mortality: a cohort study using Health Survey for England data.

BACKGROUND: The extent that controlled diabetes impacts upon mortality, compared with uncontrolled diabetes, and how pre-diabetes alters mortality risk remain issues requiring clarification. METHODS: We carried out a cohort study of 22,106 Health Survey for England participants with a HbA1C measurement linked with UK mortality records. We estimated hazard ratios (HRs) of all-cause, cancer and cardiovascular disease (CVD) mortality and 95% confidence intervals (CI) using Cox regression. RESULTS: Average follow-up time was seven years and there were 1,509 deaths within the sample. Compared with the non-diabetic and normoglycaemic group (HbA1C <5.7% [<39 mmol/mol] and did not indicate diabetes), undiagnosed diabetes (HbA1C ≥6.5% [≥48 mmol/mol] and did not indicate diabetes) inferred an increased risk of mortality for all-causes (HR 1.40, 1.09-1.80) and CVD (1.99, 1.35-2.94), as did uncontrolled diabetes (diagnosed diabetes and HbA1C ≥6.5% [≥48 mmol/mol]) and diabetes with moderately raised HbA1C (diagnosed diabetes and HbA1C 5.7-<6.5% [39-<48 mmol/mol]). Those with controlled diabetes (diagnosed diabetes and HbA<5.7% [<39 mmol/mol]) had an increased HR in relation to mortality from CVD only. Pre-diabetes (those who did not indicate diagnosed diabetes and HbA1C 5.7-<6.5% [39-<48 mmol/mol]) was not associated with increased mortality, and raised HbA1C did not appear to have a statistically significant impact upon cancer mortality. Adjustment for BMI and socioeconomic status had a limited impact upon our results. We also found women had a higher all-cause and CVD mortality risk compared with men. CONCLUSIONS: We found higher rates of all-cause and CVD mortality among those with raised HbA1C, but not for those with pre-diabetes, compared with those without diabetes. This excess differed by sex and diabetes status. The large number of deaths from cancer and CVD globally suggests that controlling blood glucose levels and policies to prevent hyperglycaemia should be considered public health priorities.

Differential impact of the economic recession on alcohol use among white British adults, 2004-2010.

BACKGROUND: Unlike other west European countries, there is a long-term trend of rising alcohol consumption and mortality in England. Whether drinking will rise or fall during the current recession is widely debated. We examined how the recession affected alcohol use in adults in England using individual-level data. METHODS: We analysed a nationally representative sample of non-institutionalized white persons aged 20-60 years from seven waves of the Health Survey for England, 2004-2010 (n = 36 525), to assess trends in alcohol use and frequency before, during and after the recession and in association with unemployment, correcting for possible changes in sample composition and socio-demographic confounders. The primary analysis compared 2006/7 with 2008/9, following the official onset of the UK recession in early 2008. RESULTS: During England's recession, there was a significant decrease in frequent drinking defined as drinking four or more days in the past week (27.1% in 2006 to 23.9% in 2009, P < 0.001), the number of units of alcohol imbibed on the heaviest drinking day (P < 0.01) and the number of days that individuals reported drinking over the past seven days (P < 0.01). However, among current drinkers who were unemployed there was a significantly elevated risk of binge drinking in 2009 and 2010 (odds ratio = 1.64, 95% confidence interval: 1.22-2.19, P = 0.001) that was not previously observed in 2004-2008 (1.03, 0.76-1.41; test for effect heterogeneity: P = 0.036). CONCLUSIONS: England's recession was associated with less hazardous drinking among the population overall, but with rises in binge drinking among a smaller high-risk group of unemployed drinkers.

Could more than three million older people in England be at risk of alcohol-related harm? A cross-sectional analysis of proposed age-specific drinking limits.

OBJECTIVE: to determine the impact of recently proposed age-specific alcohol consumption limits on the proportion and number of older people classified at risk of alcohol-related harm. DESIGN: nationally representative cross-sectional population data from the Health Survey for England (HSE). PARTICIPANTS: adults with valid alcohol consumption data, comprising 14,718 participants from 2003 and 14,939 from 2008. MAIN OUTCOME MEASURE: the prevalence of alcohol consumption in excess of existing and recently proposed consumption limits, plus associated population estimates. RESULTS: the number of individuals aged 65 or over and drinking in excess of daily recommended limits would have increased 2.5-fold to over 3 million in 2008 under age-specific recommendations proposed in a report from the Royal College of Psychiatrists, equating to an at-risk population 809,000 individuals greater than found within the 16-24 age group during the same year. Suggested revisions to existing binge drinking classifications would have defined almost 1,200,000 people aged 65 or over as hazardous consumers of alcohol in 2008-a 3.6-fold increase over existing definitions. CONCLUSION: age-specific drinking recommendations proposed in the Royal College of Psychiatrists Report would increase the number of older drinkers classified as hazardous alcohol consumers to a level greater than found among young adults aged 16-24.

Joint associations of alcohol consumption and physical activity with all-cause and cardiovascular mortality.

Individual associations of alcohol consumption and physical activity with cardiovascular disease are relatively established, but the joint associations are not clear. Therefore, the aim of this study was to examine prospectively the joint associations between alcohol consumption and physical activity with cardiovascular mortality (CVM) and all-cause mortality. Four population-based studies in the United Kingdom were included, the 1997 and 1998 Health Surveys for England and the 1998 and 2003 Scottish Health Surveys. In men and women, respectively, low physical activity was defined as 0.1 to 5 and 0.1 to 4 MET-hours/week and high physical activity as ≥5 and ≥4 MET-hours/week. Moderate or moderately high alcohol intake was defined as >0 to 35 and >0 to 21 units/week and high levels of alcohol intake as >35 and >21 units/week. In total, there were 17,410 adults without prevalent cardiovascular diseases and complete data on alcohol and physical activity (43% men, median age 55 years). During a median follow-up period of 9.7 years, 2,204 adults (12.7%) died, 638 (3.7%) with CVM. Cox proportional-hazards models were adjusted for potential confounders such as marital status, social class, education, ethnicity, and longstanding illness. In the joint associations analysis, low activity combined with high levels of alcohol (CVM: hazard ratio [HR] 1.95, 95% confidence interval [CI] 1.28 to 2.96, p = 0.002; all-cause mortality: HR 1.64, 95% CI 1.32 to 2.03, p <0.001) and low activity combined with no alcohol (CVM: HR 1.93, 95% CI 1.35 to 2.76, p <0.001; all-cause mortality: HR 1.50, 95% CI 1.24 to 1.81, p <0.001) were linked to the highest risk, compared with moderate drinking and higher levels of physical activity. Within each given alcohol group, low activity was linked to increased CVM risk (e.g., HR 1.48, 95% CI 1.08 to 2.03, p = 0.014, for the moderate drinking group), but in the presence of high physical activity, high alcohol intake was not linked to increased CVM risk (HR 1.32, 95% CI 0.52 to 3.34, p = 0.555). In conclusion, high levels of drinking and low physical activity appear to increase the risk for cardiovascular and all-cause mortality, although these data suggest that physical activity levels are more important.

Where not to live: a geo-demographic classification of mortality for England and Wales, 1981-2000.

The aim of this paper is to pilot a method for geo-demographic classification for mortality patterns in Britain. Age and sex directly standardised mortality ratios (DSMRs) for 100 grouped International Classification of Disease series 9 causes of death (ICD-9) were calculated. The 84 European Parliamentary (EP) constituencies as defined in 1999 were used as the spatial basis of this study to allow regional comparisons to be made while comparing units of similar population sizes. Scotland was excluded from the final analysis, leaving 76 regions. This paper is a preliminary investigation of the patterns of the causes of death over time and space in England and Wales using cluster analysis to summarise some of the structure in the data. Seven major and three minor cluster profiles were developed.

What not to eat: inequalities in healthy eating behaviour, evidence from the 1998 Scottish Health Survey.

BACKGROUND: The role that healthy eating plays in good health is well documented. Government policy in Scotland recommends reducing salt, refined sugar and saturated fat in the diet and increasing the consumption of fruit and vegetables, carbohydrates, fibre and oily fish. METHODS: Using data from the 1998 Scottish Health Survey a composite measure of healthy eating behaviour was derived by scoring low levels of consumption of salt, refined sugar and saturated fat and higher consumption of fruit and vegetables, carbohydrates, fibre and oily fish. This paper presents results from logistic regression analysis of the risk factors for this measure of healthy eating behaviour. RESULTS: Young people, men, those on low income, those without qualifications, those who take little exercise, who lack access to car, live in deprived areas and women who smoke were less likely to show healthy eating behaviour. CONCLUSION: Healthy eating reflects dietary policy and guidelines for those with higher socio-economic status and who demonstrate other health seeking behaviour. Health education policy needs to be targeted at young people, men, and those of lower socio-economic status, and deprived areas, not just the population or country as a whole.