The levonorgestrel intrauterine device in Australia: analysis of prescribing data 2008-2012.

BACKGROUND: Unplanned pregnancy is a significant problem in Australia. Local data pertaining to use of the levonorgestrel-releasing intra-uterine device (LNG-IUD), and associated factors are limited. The aim of this analysis was to calculate prescribing rates of the LNG-IUD in Australia, including trends in prescribing and associations with socio-demographic factors, in order to increase understanding regarding potential use. METHODS: We examined prescriptions for the LNG-IUD recorded in the national Pharmaceutical Benefits Scheme (PBS) from 2008 to 2012. Prescribing trends were examined according to patient age, remoteness of residential location, and proximity to relevant specialist health services. Associations between these factors and prescription rates were examined using poisson regression. Analyses were stratified by 5-year age-groups. RESULTS: Age-adjusted prescription rates rose from 11.50 per 1000 women aged 15-49 (95% CI: 11.41-11.59) in 2008 to 15.95 (95% CI:15.85-16.01) in 2012. Prescription rates increased most among 15-19-year-olds but remain very low at 2.76 per 1000 women (95% CI: 2.52-3.01). Absolute increases in prescriptions were greatest among 40-44-year-olds, rising from 16.73 per 1000 women in 2008 (95% CI: 16.12-17.34) to 23.77 in 2012 (95% CI: 22.58-24.29). Rates increased significantly within all geographical locations (p < 0.01). Non-metropolitan location was significantly associated with increased prescribing rates, the association diminishing with increasing age groups. CONCLUSIONS: Prescription of LNG-IUD in Australia is very low, especially among young women and those in major cities. Service providers and young women may benefit from targeted education outlining use of the LNG-IUD, strengthened training and referral pathways. Disparities in prescription according to location require further investigation.

Socioeconomic position in young adulthood is associated with BMI in Australian families.

BACKGROUND: Low socioeconomic position (SEP) is associated with increased cardiovascular (CV) disease risk, but the relative importance of SEP in childhood and adulthood, and of changes in SEP between these two life stages, remains unclear. Studies of families may help clarify these issues. We aimed to assess whether SEP in young adulthood, or change in SEP from childhood to young adulthood, was associated with five continuously measured CV risk factors. METHODS: We used data from 286 adult Australian families from the Victorian Family Heart Study (VFHS), in which some offspring have left home (n = 364) and some remained at home (n = 199). SEP (defined as the Index of Relative Socioeconomic Disadvantage) was matched to addresses. We fitted variance components models to test whether young adult SEP and/or change in SEP was associated with systolic blood pressure, diastolic blood pressure, body mass index (BMI), total cholesterol or high-density lipoprotein cholesterol, after adjustment for parental SEP and within-family correlation. RESULTS: An increase in SEP of 100 SEIFA units from childhood to adulthood was associated with a lower BMI (ß = -0.49 kg/m(2), P < 0.01) only. CONCLUSIONS: These results suggest that a change in SEP in young adulthood is an important predictor of BMI, independent of childhood SEP.

A Longitudinal Analysis of Changes in Job Control and Mental Health.

Deteriorating job control has been previously shown to predict poor mental health. The impact of improvement in job control on mental health is less well understood, yet it is of policy significance. We used fixed-effects longitudinal regression models to analyze 10 annual waves of data from a large Australian panel survey (2001-2010) to test within-person associations between change in self-reported job control and corresponding change in mental health as measured by the Mental Component Summary score of Short Form 36. We found evidence of a graded relationship; with each quintile increase in job control experienced by an individual, the person's mental health increased. The biggest improvement was a 1.55-point increase in mental health (95% confidence interval: 1.25, 1.84) for people moving from the lowest (worst) quintile of job control to the highest. Separate analyses of each of the component subscales of job control-decision authority and skill discretion-showed results consistent with those of the main analysis; both were significantly associated with mental health in the same direction, with a stronger association for decision authority. We conclude that as people's level of job control increased, so did their mental health, supporting the value of targeting improvements in job control through policy and practice interventions.

Does parkland influence walking? The relationship between area of parkland and walking trips in Melbourne, Australia.

BACKGROUND: Using two different measures of park area, at three buffer distances, we sought to investigate the ways in which park area and proximity to parks, are related to the frequency of walking (for all purposes) in Australian adults. Little previous research has been conducted in this area, and results of existing research have been mixed. METHODS: Residents of 50 urban areas in metropolitan Melbourne, Australia completed a physical activity survey (n = 2305). Respondents reported how often they walked for ≥10 minutes in the previous month. Walking frequency was dichotomised to 'less than weekly' (less than 1/week) and 'at least weekly' (1/week or more). Using Geographic Information Systems, Euclidean buffers were created around each respondent's home at three distances: 400metres (m), 800 m and 1200 m. Total area of parkland in each person's buffer was calculated for the three buffers. Additionally, total area of 'larger parks', (park space ≥ park with Australian Rules Football oval (17,862 m2)), was calculated for each set of buffers. Area of park was categorised into tertiles for area of all parks, and area of larger parks (the lowest tertile was used as the reference category). Multilevel logistic regression, with individuals nested within areas, was used to estimate the effect of area of parkland on walking frequency. RESULTS: No statistically significant associations were found between walking frequency and park area (total and large parks) within 400 m of respondent's homes. For total park area within 800 m, the odds of walking at least weekly were lower for those in the mid (OR 0.65, 95% CI 0.46-0.91) and highest (OR 0.65, 95% CI 0.44-0.95) tertile of park area compared to those living in areas with the least amount of park area. Similar results were observed for total park area in the 1200 m buffers. When only larger parks were investigated, again more frequent walking was less likely when respondents had access to a greater amount of park area. CONCLUSIONS: In this study we found that more park area in residential environments reduced the odds of walking more frequently. Other area characteristics such as street connectivity and destinations may underlie these associations by negatively correlating with park area.

Leave entitlements, time off work and the household financial impacts of quarantine compliance during an H1N1 outbreak.

BACKGROUND: The Australian state of Victoria, with 5.2 million residents, enforced home quarantine during a H1N1 pandemic in 2009. The strategy was targeted at school children. The objective of this study was to investigate the extent to which parents' access to paid sick leave or paid carer's leave was associated with (a) time taken off work to care for quarantined children, (b) household finances, and (c) compliance with quarantine recommendations. METHODS: We conducted an online and telephone survey of households recruited through 33 schools (85% of eligible schools), received 314 responses (27%), and analysed the subsample of 133 households in which all resident parents were employed. RESULTS: In 52% of households, parents took time off work to care for quarantined children. Households in which no resident parent had access to leave appeared to be less likely to take time off work (42% vs 58%, p=0.08) although this difference had only borderline significance. Among parents who did take time off work, those in households without access to leave were more likely to lose pay (73% vs 21%, p<0.001). Of the 26 households in which a parent lost pay due to taking time off work, 42% experienced further financial consequences such as being unable to pay a bill. Access to leave did not predict compliance with quarantine recommendations. CONCLUSIONS: Future pandemic plans should consider the economic costs borne by households and options for compensating quarantined families for income losses.

Sources, perceived usefulness and understanding of information disseminated to families who entered home quarantine during the H1N1 pandemic in Victoria, Australia: a cross-sectional study.

BACKGROUND: Voluntary home quarantine of cases and close contacts was the main non-pharmaceutical intervention used to limit transmission of pandemic (H1N1) 2009 influenza (pH1N1) in the initial response to the outbreak of the disease in Australia. The effectiveness of voluntary quarantine logically depends on affected families having a clear understanding of what they are being asked to do. Information may come from many sources, including the media, health officials, family and friends, schools, and health professionals. We report the extent to which families who entered home quarantine received and used information on what they were supposed to do. Specifically, we outline their sources of information; the perceived usefulness of each source; and associations between understanding of recommendations and compliance. METHODS: Cross-sectional survey administered via the internet and computer assisted telephone interview to families whose school children were recommended to go into home quarantine because they were diagnosed with H1N1 or were a close contact of a case. The sample included 314 of 1157 potentially eligible households (27% response rate) from 33 schools in metropolitan Melbourne. Adjusting for clustering within schools, we describe self-reported 'understanding of what they were meant to do during the quarantine period'; source of information (e.g. health department) and usefulness of information. Using logistic regression we examine whether compliance with quarantine recommendations was associated with understanding and the type of information source used. RESULTS: Ninety per cent understood what they were meant to do during the quarantine period with levels of understanding higher in households with cases (98%, 95% CI 93%-99% vs 88%, 95% CI 84%-91%, P = 0.006). Over 87% of parents received information about quarantine from the school, 63% from the health department and 44% from the media. 53% of households were fully compliant and there was increased compliance in households that reported that they understood what they were meant to do (Odds Ratio 2.27, 95% CI 1.35-3.80). CONCLUSIONS: It is critical that public health officials work closely with other government departments and media to provide clear, consistent and simple information about what to do during quarantine as high levels of understanding will maximise compliance in the quarantined population.

Gender equity and contraceptive use in China: an ecological analysis.

Using data from China's population-based 2000 census, this ecological study examined the association between gender equity and women's contraceptive use in 30 provinces. Five province-level indicators of gender equity were used: sex ratio at birth, health, employment, education, and political participation. With the exception of sex ratio, all indices were comprised of several components. The indicators and components were grouped into tertiles. Generalized linear models were used to examine the associations between these indicators and contraceptive use. Provinces in the middle tertile of political participation had higher prevalence of contraceptive use than those in the lowest tertile (ß = 0.27, 95% CI: 0.02-0.52, p < 0.034). Compared to regions in the lowest tertile, regions in the highest tertile of the proportion of females in provincial-level parties and government (ß = 0.25, 95% CI: 0.04-0.46, p < 0.020) and middle tertile of female employment in all the economic activities except agriculture, industry and construction (ß = 0.25, 95% CI: 0.04-0.46, p < 0.021) had a higher prevalence of contraceptive use. Regions in the middle tertile of female illiteracy (ß = -0.25, 95% CI: -0.42-0.07, p < 0.006) had a lower prevalence of use of contraceptives than those in the lowest tertile. The authors of this study found mixed evidence of an association between gender equity and contraceptive use in China.

Fast food purchasing and access to fast food restaurants: a multilevel analysis of VicLANES.

BACKGROUND: While previous research on fast food access and purchasing has not found evidence of an association, these studies have had methodological problems including aggregation error, lack of specificity between the exposures and outcomes, and lack of adjustment for potential confounding. In this paper we attempt to address these methodological problems using data from the Victorian Lifestyle and Neighbourhood Environments Study (VicLANES) - a cross-sectional multilevel study conducted within metropolitan Melbourne, Australia in 2003. METHODS: The VicLANES data used in this analysis included 2547 participants from 49 census collector districts in metropolitan Melbourne, Australia. The outcome of interest was the total frequency of fast food purchased for consumption at home within the previous month (never, monthly and weekly) from five major fast food chains (Red Rooster, McDonalds, Kentucky Fried Chicken, Hungry Jacks and Pizza Hut). Three measures of fast food access were created: density and variety, defined as the number of fast food restaurants and the number of different fast food chains within 3 kilometres of road network distance respectively, and proximity defined as the road network distance to the closest fast food restaurant.Multilevel multinomial models were used to estimate the associations between fast food restaurant access and purchasing with never purchased as the reference category. Models were adjusted for confounders including determinants of demand (attitudes and tastes that influence food purchasing decisions) as well as individual and area socio-economic characteristics. RESULTS: Purchasing fast food on a monthly basis was related to the variety of fast food restaurants (odds ratio 1.13; 95% confidence interval 1.02 - 1.25) after adjusting for individual and area characteristics. Density and proximity were not found to be significant predictors of fast food purchasing after adjustment for individual socio-economic predictors. CONCLUSION: Although we found an independent association between fast food purchasing and access to a wider variety of fast food restaurant, density and proximity were not significant predictors. The methods used in our study are an advance on previous analyses.

Social capital and health in rural and urban communities in South Australia.

OBJECTIVE: This paper seeks to compare the relationships between social capital and health for rural and urban residents of South Australia. METHODS: Using data from a South Australian telephone survey of 2,013 respondents (1,402 urban and 611 rural), separate path analyses for the rural and urban samples were used to compare the relationships between six social capital measures, six demographic variables, and mental and physical health (measured by the SF-12). RESULTS: Higher levels of networks, civic participation and cohesion were reported in rural areas. Education and income were consistently linked with social capital variables for both rural and urban participants, with those on higher incomes and with higher educational achievement having higher levels of social capital. However, there were also differences between the rural and urban groups in some of the other predictors of social capital variables. Mental health was better among rural participants, but there was no significant difference for physical health. Social capital was associated with good mental health for both urban and rural participants, but with physical health only for urban participants. Higher levels of social capital were significantly associated with better mental health for both urban and rural participants, but with better physical health only for urban participants. CONCLUSIONS AND IMPLICATIONS: The study found that social capital and its relationship to health differed for participants in rural and urban areas, and that there were also differences between the areas in associations with socioeconomic variables. Policies aiming to strengthen social capital in order to promote health need to be designed for specific settings and particular communities within these.

Using kernel density estimation to understand the influence of neighbourhood destinations on BMI.

OBJECTIVES: Little is known about how the distribution of destinations in the local neighbourhood is related to body mass index (BMI). Kernel density estimation (KDE) is a spatial analysis technique that accounts for the location of features relative to each other. Using KDE, this study investigated whether individuals living near destinations (shops and service facilities) that are more intensely distributed rather than dispersed, have lower BMIs. STUDY DESIGN AND SETTING: A cross-sectional study of 2349 residents of 50 urban areas in metropolitan Melbourne, Australia. METHODS: Destinations were geocoded, and kernel density estimates of destination intensity were created using kernels of 400, 800 and 1200 m. Using multilevel linear regression, the association between destination intensity (classified in quintiles Q1(least)-Q5(most)) and BMI was estimated in models that adjusted for the following confounders: age, sex, country of birth, education, dominant household occupation, household type, disability/injury and area disadvantage. Separate models included a physical activity variable. RESULTS: For kernels of 800 and 1200 m, there was an inverse relationship between BMI and more intensely distributed destinations (compared to areas with least destination intensity). Effects were significant at 1200 m: Q4, ß -0.86, 95% CI -1.58 to -0.13, p=0.022; Q5, ß -1.03 95% CI -1.65 to -0.41, p=0.001. Inclusion of physical activity in the models attenuated effects, although effects remained marginally significant for Q5 at 1200 m: ß -0.77 95% CI -1.52, -0.02, p=0.045. CONCLUSIONS: This study conducted within urban Melbourne, Australia, found that participants living in areas of greater destination intensity within 1200 m of home had lower BMIs. Effects were partly explained by physical activity. The results suggest that increasing the intensity of destination distribution could reduce BMI levels by encouraging higher levels of physical activity.

Prescription rates of the contraceptive implant in Australia 2008-2012: impact of patient age and area of residence.

UNLABELLED: Background Long-acting reversible contraceptives are an effective means of preventing unwanted pregnancies and associated negative consequences. The Sexual Health and Family Planning Association of Australia has called for efforts to address barriers to the uptake of long-acting reversible contraceptives (LARCs) in Australia, where LARC uptake is thought to be low, though comprehensive data describing use and associated factors is scarce. The aims of this study were to describe patterns of prescriptions for the etonogestrel-releasing subdermal implant (SDI) in Australia, 2008-2012, and associated factors. METHODS: Records of prescriptions written through Australia's Pharmaceutical Benefits Scheme from 2008 to 2012 were obtained, including patient age and geographic location. Direct, age-standardised rates (ASR) of prescriptions were calculated for each year and location, with multivariate analysis used to examine associations between prescription rates and patient age, location and proximity to family planning clinics (FPC) or Aboriginal Medical Services (AMS). RESULTS: ASR of prescriptions rose ~6% per year (OR 1.06, 95%CI: 1.05-1.06) from 13.05 per 1000 (2008) to 15.76 per 1000 (2012; P<0.01). Rates were highest among 15- to 19-year-olds, increasing from 20.81 (2008) to 29.09 per 1000 (2012: P<0.01) and lowest among 45- to 49-year-olds, increasing from 3.37 to 3.73 per 1000 (P<0.01). ASR by location were significantly higher in regional than metropolitan areas. CONCLUSIONS: This is the first analysis of SDI prescriptions across all ages and regions of Australia. Uptake of SDI in Australia is increasing but remains low. Significant associations were found between prescription rates and patient age and residence in regional/remote areas.

The Use of Kernel Density Estimation to Examine Associations between Neighborhood Destination Intensity and Walking and Physical Activity.

BACKGROUND: Local destinations have previously been shown to be associated with higher levels of both physical activity and walking, but little is known about how the distribution of destinations is related to activity. Kernel density estimation is a spatial analysis technique that accounts for the location of features relative to each other. Using kernel density estimation, this study sought to investigate whether individuals who live near destinations (shops and service facilities) that are more intensely distributed rather than dispersed: 1) have higher odds of being sufficiently active; 2) engage in more frequent walking for transport and recreation. METHODS: The sample consisted of 2349 residents of 50 urban areas in metropolitan Melbourne, Australia. Destinations within these areas were geocoded and kernel density estimates of destination intensity were created using kernels of 400m (meters), 800m and 1200m. Using multilevel logistic regression, the association between destination intensity (classified in quintiles Q1(least)-Q5(most)) and likelihood of: 1) being sufficiently active (compared to insufficiently active); 2) walking≥4/week (at least 4 times per week, compared to walking less), was estimated in models that were adjusted for potential confounders. RESULTS: For all kernel distances, there was a significantly greater likelihood of walking≥4/week, among respondents living in areas of greatest destinations intensity compared to areas with least destination intensity: 400m (Q4 OR 1.41 95%CI 1.02-1.96; Q5 OR 1.49 95%CI 1.06-2.09), 800m (Q4 OR 1.55, 95%CI 1.09-2.21; Q5, OR 1.71, 95%CI 1.18-2.48) and 1200m (Q4, OR 1.7, 95%CI 1.18-2.45; Q5, OR 1.86 95%CI 1.28-2.71). There was also evidence of associations between destination intensity and sufficient physical activity, however these associations were markedly attenuated when walking was included in the models. CONCLUSIONS: This study, conducted within urban Melbourne, found that those who lived in areas of greater destination intensity walked more frequently, and showed higher odds of being sufficiently physically active-an effect that was largely explained by levels of walking. The results suggest that increasing the intensity of destinations in areas where they are more dispersed; and or planning neighborhoods with greater destination intensity, may increase residents' likelihood of being sufficiently active for health.

Income inequality and Neisseria gonorrhoeae notifications in females: a country-level analysis.

UNLABELLED: Background Patterns of population susceptibility to sexually transmissible infections may be influenced by various social determinants of health, however these receive relatively little attention. Income inequality is one such determinant that has been linked to a number of poor health outcomes. The objective of this analysis was to determine whether there is an association between income inequality and Neisseria gonorrhoeae notification rates when measured at the country level. METHODS: Gini coefficients, gonorrhoea notification rates among women, per capita gross domestic product and approximate size of female population were obtained for 11 countries of the OECD. Linear regression was used to measure the association between income inequality and gonorrhoea notification rates, using generalised estimation equations (GEE) to control for the non-independence of repeat measures from particular countries. RESULTS: A total of 36 observations from 11 countries were included. Gini coefficients ranged from 0.21 to 0.38 and gonorrhoea notifications from 0.7 to 153 per 100000 females. Significant associations were found between country-level income inequality and gonorrhoea notification rates among women (b=17.79 (95% CI: 10.64, 24.94, P<0.01). CONCLUSIONS: Significant associations were found, highlighting the importance of acknowledging and accounting for social determinants of sexual health and suggesting that further research in this arena may be fruitful.

Housing affordability and mental health: does the relationship differ for renters and home purchasers?

There is increasing evidence of a direct association between unaffordable housing and poor mental health, over and above the effects of general financial hardship. Type of housing tenure may be an important factor in determining how individuals experience and respond to housing affordability problems. This study investigated whether a relationship exists between unaffordable housing and mental health that differs for home purchasers and private renters among low-income households. Data from 2001 to 2010 of the longitudinal Household, Income and Labour Dynamics in Australia (HILDA) survey were analysed using fixed-effects linear regression to examine change in the SF-36 Mental Component Summary (MCS) score of individuals aged 25-64 years, associated with changes in housing affordability, testing for an interaction with housing tenure type. After adjusting for age, survey year and household income, among individuals living in households in the lower 40% of the national income distribution, private renters in unaffordable housing experienced somewhat poorer in mental health than when their housing was affordable (difference in MCS = -1.18 or about 20% of one S.D. of the MCS score; 95% CI: -1.95,-0.41; p = 0.003) while home purchasers experienced no difference on average. The statistical evidence for housing tenure modifying the association between unaffordable housing and mental health was moderate (p = 0.058). When alternatives to 40% were considered as income cut-offs for inclusion in the sample, evidence of a difference between renters and home purchasers was stronger amongst households in the lowest 50% of the income distribution (p = 0.020), and between the 30th and 50th percentile (p = 0.045), with renters consistently experiencing a decline in mental health while mean MCS scores of home purchasers did not change. In this study, private renters appeared to be more vulnerable than home purchasers to mental health effects of unaffordable housing. Such a modified effect suggests that tenure-differentiated policy responses to poor housing affordability may be appropriate.

Fruit and vegetable purchasing and the relative density of healthy and unhealthy food stores: evidence from an Australian multilevel study.

BACKGROUND: Evidence of a relationship between residential retail food environments and diet-related outcomes is inconsistent. One reason for this may be that food environments are typically defined in terms of the absolute number of particular store types in an area, whereas a measure of the relative number of healthy and unhealthy stores may be more appropriate. METHODS: Using cross-sectional data from the VicLANES study conducted in Melbourne, Australia, multilevel logistic regression analysis was used to estimate the independent associations between absolute measures (numbers of healthy and unhealthy stores) and a relative measure (relative density of healthy stores) of the food environment, and self-reported variety of fruit and vegetable purchasing in local households. Purchasing behaviour was measured as the odds of purchasing above the median level of fruit and vegetables. RESULTS: Compared to households in areas where healthy food stores made up no more than 10% of all healthy and unhealthy stores, households in areas with 10.1-15.0% healthy food stores and >15% healthy stores had increased odds of healthier purchasing (OR=1.48 (95% CI 1.12 to 1.96) and OR=1.45 (95% CI 1.09 to 1.91), respectively). There was less evidence of an association between absolute numbers of healthy or unhealthy stores and fruit and vegetable purchasing. CONCLUSIONS: We found strong evidence of healthier fruit and vegetable purchasing in households located in areas where the proportion of food stores that were healthy was greater. Policies aimed at improving the balance between healthy and unhealthy stores within areas may therefore be effective in promoting greater consumption of fruit and vegetables.

Individual and area-level socioeconomic associations with fast food purchasing.

BACKGROUND: It has been suggested that those with lower socioeconomic characteristics would be more likely to seek energy-dense food options such as fast food because of cheaper prices; however, to date the evidence has been inconsistent. This study examines both individual- and area-level socioeconomic characteristics and their independent associations with chain-brand fast food purchasing. METHODS: Data from the 2003 Victorian Lifestyle and Neighbourhood Environments Study (VicLANES); a multilevel study of 2,547 adults from 49 small-areas in Melbourne, Australia, were used. Multilevel multinomial models adjusted for confounders were used to assess associations between individual socioeconomic position (education, occupation and income) and area socioeconomic characteristics in relation to fast food purchasing from five major fast food chains with outcome categories: never, at least monthly and at least weekly. The study finally assessed whether any potential area-level associations were mediated by fast food access. RESULTS: Increased fast food purchasing was independently associated with lower education, being a blue-collar employee and decreased household income. Results for area-level disadvantage were marginally insignificant after adjustment for individual-level characteristics, although they were suggestive that living in an area with greater levels of disadvantage increased an individual's odds of more frequent fast food purchasing. This effect was further attenuated when measures of fast food restaurant access were included in the models. CONCLUSION: Independent effects of lower individual-level socioeconomic characteristics and more frequent fast food purchasing for home consumption are demonstrated. Although evidence was suggestive of an independent association with area-level disadvantage this did not reach statistical significance.

Access to alcohol outlets and harmful alcohol consumption: a multi-level study in Melbourne, Australia.

AIMS: To assess the association between access to off-premises alcohol outlets and harmful alcohol consumption. DESIGN, SETTING AND PARTICIPANTS: Multi-level study of 2334 adults aged 18-75 years from 49 census collector districts (the smallest spatial unit in Australia at the time of survey) in metropolitan Melbourne. MEASUREMENTS: Alcohol outlet density was defined as the number of outlets within a 1-km road network of respondents' homes and proximity was the shortest road network distance to the closest outlet from their home. Using multi-level logistic regression we estimated the association between outlet density and proximity and four measures of harmful alcohol consumption: drinking at levels associated with short-term harm at least weekly and monthly; drinking at levels associated with long-term harm and frequency of consumption. FINDINGS: Density of alcohol outlets was associated with increased risk of drinking alcohol at levels associated with harm. The strongest association was for short-term harm at least weekly [odds ratio (OR) 1.10, 95% confidence interval (CI) 1.04-1.16]. When density was fitted as a categorical variable, the highest risk of drinking at levels associated with short-term harm was when there were eight or more outlets (short-term harm weekly: OR 2.36, 95% CI 1.22-4.54 and short-term harm monthly: OR 1.80, 95% CI 1.07-3.04). We found no evidence to support an association between proximity and harmful alcohol consumption. CONCLUSIONS: The number of off-premises alcohol outlets in a locality is associated with the level of harmful alcohol consumption in that area. Reducing the number of off-premises alcohol outlets could reduce levels of harmful alcohol consumption.

Socioeconomic position, gender, health behaviours and biomarkers of cardiovascular disease and diabetes.

Socio-economic gradients in cardiovascular disease (CVD) and diabetes have been found throughout the developed world and there is some evidence to suggest that these gradients may be steeper for women. Research on social gradients in biological risk factors for CVD and diabetes has received less attention and we do not know the extent to which gradients in biomarkers vary for men and women. We examined the associations between two indicators of socio-economic position (education and household income) and biomarkers of diabetes and cardiovascular disease (CVD) for men and women in a national, population-based study of 11,247 Australian adults. Multi-level linear regression was used to assess associations between education and income and glucose tolerance, dyslipidaemia, blood pressure (BP) and waist circumference before and after adjustment for behaviours (diet, smoking, physical activity, TV viewing time, and alcohol use). Measures of glucose tolerance included fasting plasma glucose and insulin and the results of a glucose tolerance test (2 h glucose) with higher levels of each indicating poorer glucose tolerance. Triglycerides and High Density Lipoprotein (HDL) Cholesterol were used as measures of dyslipidaemia with higher levels of the former and lower levels of the later being associated with CVD risk. Lower education and low income were associated with higher levels of fasting insulin, triglycerides and waist circumference in women. Women with low education had higher systolic and diastolic BP and low income women had higher 2 h glucose and lower HDL cholesterol. With only one exception (low income and systolic BP), all of these estimates were reduced by more than 20% when behavioural risk factors were included. Men with lower education had higher fasting plasma glucose, 2 h glucose, waist circumference and systolic BP and, with the exception of waist circumference, all of these estimates were reduced when health behaviours were included in the models. While low income was associated with higher levels of 2-h glucose and triglycerides it was also associated with better biomarker profiles including lower insulin, waist circumference and diastolic BP. We conclude that low socio-economic position is more consistently associated with a worse profile of biomarkers for CVD and diabetes for women.