Tobacco control interventions for populations living in subsidised, low-income housing: a scoping review.

OBJECTIVES: People living in subsidised low-income housing are more likely to smoke and experience secondhand smoke exposure compared to the general population. While tobacco control interventions have yielded substantial population health benefits, people living in subsidised housing experience a greater burden of tobacco-related harms. We synthesised existing peer-reviewed and grey literature to determine tobacco control interventions that have been implemented in subsidised housing globally, and to understand their impact on smoking and secondhand smoke exposure. METHODS: We searched five databases for peer-reviewed research, and Google Advanced for grey literature. We adhered to the JBI Scoping Review Methodology and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. RESULTS: Fifty-seven sources met the eligibility criteria. The most common type of intervention was mandatory smoking bans covering all indoor spaces (n = 32), followed by cessation-focused interventions (n = 19). Interventions that indirectly addressed smoking were the least common (n = 6). Our findings suggest smoking bans can increase smoking cessation and reduce secondhand smoke exposure, especially if implemented alongside cessation support strategies. CONCLUSION: Tobacco control interventions targeting subsidised housing demonstrate positive effects on tobacco-related outcomes for residents and provide an important opportunity to address health disparities. Future research should examine the long-term impacts of the interventions, including potential unintended consequences, in varied subsidised housing contexts.

Natural experiments for the evaluation of place-based public health interventions: a methodology scoping review.

Introduction: Place-based public health evaluations are increasingly making use of natural experiments. This scoping review aimed to provide an overview of the design and use of natural experiment evaluations (NEEs), and an assessment of the plausibility of the as-if randomization assumption. Methods: A systematic search of three bibliographic databases (Pubmed, Web of Science and Ovid-Medline) was conducted in January 2020 to capture publications that reported a natural experiment of a place-based public health intervention or outcome. For each, study design elements were extracted. An additional evaluation of as-if randomization was conducted by 12 of this paper's authors who evaluated the same set of 20 randomly selected studies and assessed 'as-if ' randomization for each. Results: 366 NEE studies of place-based public health interventions were identified. The most commonly used NEE approach was a Difference-in-Differences study design (25%), followed by before-after studies (23%) and regression analysis studies. 42% of NEEs had likely or probable as-if randomization of exposure (the intervention), while for 25% this was implausible. An inter-rater agreement exercise indicated poor reliability of as-if randomization assignment. Only about half of NEEs reported some form of sensitivity or falsification analysis to support inferences. Conclusion: NEEs are conducted using many different designs and statistical methods and encompass various definitions of a natural experiment, while it is questionable whether all evaluations reported as natural experiments should be considered as such. The likelihood of as-if randomization should be specifically reported, and primary analyses should be supported by sensitivity analyses and/or falsification tests. Transparent reporting of NEE designs and evaluation methods will contribute to the optimum use of place-based NEEs.

Impact of cuts to local authority spending on cultural, environmental and planning services on inequalities in childhood obesity in England: A longitudinal ecological study.

BACKGROUND: Almost 20% of children in England are living with obesity by the end of primary school, with marked and growing inequalities driven by increasing prevalence in more deprived areas. Neighbourhood environments are upstream determinants of childhood weight status. Cultural, Environmental and Planning (CEP) services delivered by local authorities (LAs) in England include various services that contribute to these local environments, e.g. leisure centres, parks, playgrounds, libraries, community safety and environmental protection. Children in deprived areas potentially benefit most from the provision of these universal services. Spending on CEP services has been cut dramatically over the past decade, especially in more deprived areas. Given the potential link between these services and childhood obesity, we examined whether recent cuts in LA spending on CEP services are associated with trends and inequalities in obesity. METHODS: We compiled annual data (2009-2017) on CEP spending in 324 LAs in England, from Ministry of Housing, Communities and Local Government reports. Obesity prevalence data for Year 6 children were obtained from the National Child Measurement Programme, for LAs and Middle-layer Super Output Areas (MSOAs). Following descriptive and pooled OLS analyses, we used fixed effects panel regression to estimate associations between CEP spending and obesity prevalence, within LAs over time, adjusting for potential confounding by local economic conditions and spending on other public services. Final models included an interaction term between area deprivation (2015 IMD) and year to account for differential background trends in obesity across deprivation levels. We tested for effect modification by deprivation and, using MSOA-level obesity data, explored associations between spending and within-LA obesity inequalities. RESULTS: In unadjusted pooled OLS analyses, areas with higher CEP spending had higher prevalence of obesity, reflecting the strong social gradient in childhood obesity and the higher levels of central government funding allocated to more deprived areas. Deprivation, other spend, and local economic conditions explained this relationship. In the fixed effects analysis, designed to isolate average within-area change in obesity associated with changing spend, we observed a 0.10 percentage point increase in obesity prevalence for each 10% reduction in spend (95%CI: 0.04,0.15; p < 0.001), but this disappeared after accounting for differential background trends in obesity across deprivation levels (-0.02; 95%CI: 0.07,0.03; p = 0.39). Similar results were observed for obesity inequalities, although sensitivity analyses suggest spending on Environmental Services in particular may affect inequalities in urban local authorities. CONCLUSIONS: CEP spending levels may influence local childhood obesity risk, but the increasing prevalence and widening inequalities in obesity of the past decade seem to have been driven mainly by factors other than CEP spending cuts, that are also unevenly distributed across deprivation levels. The influence of specific services might be obscured by grouping CEP services for analysis.

Neighborhood environment and socioeconomic inequalities in cancer admissions: a prospective study using UK Biobank and linked hospital records.

PURPOSE: Neighborhood environments may influence cancer risk. Average population effect estimates might mask differential effects by socioeconomic position. Improving neighborhood environments could inadvertently widen health inequalities if important differences are overlooked. METHODS: Using linked records of hospital admissions in UK Biobank, we assessed associations between admission with a primary diagnosis of cancer (any/breast/colorectal), and exposure to neighborhood greenspace, physical activity facilities, and takeaway food stores, and whether household income and area deprivation modify these associations. We used adjusted Cox proportional hazards models, and estimated relative excess risks due to interaction (RERI) to assess effect modification. RESULTS: Associations between neighborhood exposures and cancer-related hospitalizations were weak to null overall, but with some evidence of effect modification. Most notably, more greenspace near home was associated with 16% lower hazard of cancer-related hospital admission in deprived areas (95% CI 2-29%). This was further pronounced for people in low-income households in deprived areas, and for breast cancer. CONCLUSION: In deprived neighborhoods, increasing the amount of greenspace may help reduce cancer-related hospitalizations. Examining effect modification by multiple socioeconomic indicators can yield greater insight into how social and environmental factors interact to influence cancer incidence. This may help avoid perpetuating cancer inequalities when designing neighborhood environment interventions.

Local area public sector spending and nutritional anaemia hospital admissions in England: a longitudinal ecological study.

INTRODUCTION: Reductions in local government spending may have impacts on diets and health which increase the risk of hospital admissions for nutritional anaemias. Mechanisms include potential impacts of changes to local authority (LA) services (eg, housing services) on personal resources and food access, availability and provision. We therefore investigated the association between changes in LA spending and nutritional anaemia-related hospital admissions. Specifically, we address whether greater cuts to LA spending were linked to increased hospital admissions for nutritional anaemias. DESIGN: Longitudinal analysis of LA panel data using Poisson fixed effects regression models. SETTING: 312 LAs in England (2005-2018). MAIN EXPOSURE: Total LA service expenditure per capita per year. MAIN OUTCOME: Principal and total nutritional anaemia hospital admissions, for all ages and stratified by age (0-14, 15-64, 65+ years). RESULTS: LA service expenditure increased by 9% between 2005 and 2009 then decreased by 20% between 2010 and 2018. Total nutritional anaemia hospital admissions increased between 2005 and 2018 from 173 to 633 admissions per 100 000 population. A £100 higher LA service spending was associated with a 1.9% decrease in total nutritional anaemia hospital admissions (adjusted incidence rate ratio (aIRR): 0.98, 95% CI: 0.96 to 0.99). When stratified by age, this was seen only in adults. A £100 higher LA service spending was associated with a 2.6% decrease in total nutritional anaemia hospital admissions in the most deprived LAs (aIRR: 0.97, 95% CI: 0.95 to 1.0). CONCLUSION: Increased LA spending was associated with reduced hospital admissions for nutritional anaemia. Austerity-related reductions had the opposite effect, increasing admissions, with greater impacts in more deprived areas. This adds further evidence to the potential negative impacts of austerity policies on health and health inequalities. Among other impacts, re-investing in LA services may prevent hospital admissions associated with nutritional anaemias.

Changes to local area public sector spending and food purchasing in England: a longitudinal ecological study.

Objectives: Changes in public sector service spending may influence food consumption. We make use of changing local authority (LA) expenditure in England to assess impacts on food purchasing. We examine total LA service spending and explore two potential pathways: highways and transport spending which may affect access to food; and housing service expenditure which may affect household resources available to purchase foods. Design: Longitudinal panel survey at the LA level (2008-2015) using fixed effects linear regression. Setting: 324 LAs in England. Main exposure: Expenditure per capita on total LA services, highways and transport services, and housing services. Main outcome measures: LA area estimates of purchasing of fresh fruits and vegetables, high in fat, sugar and salt (HFSS) foods, and takeaways at home, expressed as a percentage of total food and drink expenditure. Results: Total LA service spending decreased by 17% on average between 2008 and 2015. A 10% decrease in total LA spending was associated with a 0.071 percentage point decrease in HFSS (95% CI -0.093 to -0.050) and a 0.015 percentage point increase in takeaways (95% CI 0.006 to 0.024). A 10% decrease in highways and transport expenditure was associated with a 0.006 percentage point decrease in fruit and vegetable purchasing (95% CI -0.009 to -0.002) and a 0.006 percentage point increase in takeaway purchasing (95% CI 0.001 to 0.010). These associations were seen in urban areas only when analyses were stratified by rural/urban area status. A 0.006 percentage point decrease in HFSS purchasing was also seen with a 10% decrease in housing expenditure (95% CI -0.010 to -0.002). Conclusion: Changes in LA spending may have impacts on food purchasing which are evident at the area level. This suggests that in addition to more prominent impacts such as foodbank use, austerity measures may have mixed impacts on food purchasing behaviours among the wider population. Individual-level research is needed to further elucidate these relationships.

Age-Adjusted Associations Between Comorbidity and Outcomes of COVID-19: A Review of the Evidence From the Early Stages of the Pandemic.

Objectives: Early in the COVID-19 pandemic, people with underlying comorbidities were overrepresented in hospitalised cases of COVID-19, but the relationship between comorbidity and COVID-19 outcomes was complicated by potential confounding by age. This review therefore sought to characterise the international evidence base available in the early stages of the pandemic on the association between comorbidities and progression to severe disease, critical care, or death, after accounting for age, among hospitalised patients with COVID-19. Methods: We conducted a rapid, comprehensive review of the literature (to 14 May 2020), to assess the international evidence on the age-adjusted association between comorbidities and severe COVID-19 progression or death, among hospitalised COVID-19 patients - the only population for whom studies were available at that time. Results: After screening 1,100 studies, we identified 14 eligible for inclusion. Overall, evidence for obesity and cancer increasing risk of severe disease or death was most consistent. Most studies found that having at least one of obesity, diabetes mellitus, hypertension, heart disease, cancer, or chronic lung disease was significantly associated with worse outcomes following hospitalisation. Associations were more consistent for mortality than other outcomes. Increasing numbers of comorbidities and obesity both showed a dose-response relationship. Quality and reporting were suboptimal in these rapidly conducted studies, and there was a clear need for additional studies using population-based samples. Conclusions: This review summarises the most robust evidence on this topic that was available in the first few months of the pandemic. It was clear at this early stage that COVID-19 would go on to exacerbate existing health inequalities unless actions were taken to reduce pre-existing vulnerabilities and target control measures to protect groups with chronic health conditions.

Impact of cuts to local government spending on Sure Start children's centres on childhood obesity in England: a longitudinal ecological study.

BACKGROUND: Childhood obesity is rising in disadvantaged areas in England. Sure Start children's centres provide community-based services for children <5 years and their parents, including many services that can support healthy weight, directly or indirectly. Since 2010, austerity-driven cuts to local authority (LA) budgets have led to substantially reduced public expenditure on Sure Start services. We assessed whether childhood obesity prevalence has increased more since 2010 in those areas in England that experienced greater cuts to spending on Sure Start. METHODS: This longitudinal ecological study covers the period 2010/2011-2017/2018. Our exposure was LA expenditure on Sure Start, using Department for Education data. Our main outcome was LA obesity prevalence at age 4-5 years, using National Child Measurement Programme data. We used fixed-effects panel regression to quantify the association between change in spending and change in the prevalence of childhood obesity. RESULTS: Spending on Sure Start children's centres decreased on average 53% over the study period, with deeper cuts in more deprived LAs. Each 10% spending cut was associated with a 0.34% relative increase in obesity prevalence the following year (95% CI 0.15% to 0.53%). We estimated there were an additional 4575 children with obesity (95% CI 1751 to 7399) and 9174 overweight or obese (95% CI 2689 to 15 660) compared with expected numbers had funding levels been maintained. CONCLUSIONS: Cuts to spending on Sure Start children's centres were associated with increased childhood obesity. With deprived areas experiencing bigger spending cuts, reinvesting in these services may, alongside wider benefits for child development, contribute to reducing inequalities in childhood obesity.

Geographical heterogeneity across England in associations between the neighbourhood built environment and body mass index.

Effects of residential neighbourhood environments on health may vary across geographical space, with differences in local contexts influencing how much a given neighbourhood characteristic matters for the health of local residents. Linking UK Biobank data from 302,952 urban-dwelling adults in England, collected between 2006 and 2010, to publicly available Local Authority-level data, we examined (a) whether cross-sectional associations between body mass index (BMI) and two characteristics of the neighbourhood built environment (availability of formal physical activity facilities near home, and fast-food proximity) vary by Local Authority (LA), and (b) whether cross-level interactions with LA-level physical features (natural landcover) and socio-cultural attributes (local obesity norms) reveal evidence of effect modification by these features of the wider contexts in which neighbourhoods are located. We found variation across urban England in the relationship between availability of neighbourhood formal physical activity facilities and BMI, and some evidence suggesting this association was stronger among people living in areas with less natural landcover, especially in areas outside of London. We also found that the relationship between proximity of fast-food stores to people's homes and BMI varied geographically across England. Local descriptive obesity norms were not an important modifier of this association. This paper highlights the importance of considering potential geographical heterogeneity in relationships between the built environment and health, and the implications for generalisability of research findings. By seeking to better understand sources of geographical heterogeneity, we may be able to better adapt and target built environment interventions for population health improvement.

Trends in inequalities in Children Looked After in England between 2004 and 2019: a local area ecological analysis.

OBJECTIVE: To assess trends in inequalities in Children Looked After (CLA) in England between 2004 and 2019, after controlling for unemployment, a marker of recession and risk factor for child maltreatment. DESIGN: Longitudinal local area ecological analysis. SETTING: 150 English upper-tier local authorities. PARTICIPANTS: Children under the age of 18 years. PRIMARY OUTCOME MEASURE: The annual age-standardised rate of children starting to be looked after (CLA rate) across English local authorities, grouped into quintiles based on their level of income deprivation. Slope indices of inequality were estimated using longitudinal segmented mixed-effects models, controlling for unemployment. RESULTS: Since 2008, there has been a precipitous rise in CLA rates and a marked widening of inequalities. Unemployment was associated with rising CLA rates: for each percentage point increase in unemployment rate, an estimated additional 9 children per 100 000 per year (95% CI 6 to 11) became looked after the following year. However, inequalities increased independently of the effect of unemployment. Between 2007 and 2019, after controlling for unemployment, the gap between the most and least deprived areas increased by 15 children per 100 000 per year (95% CI 4 to 26) relative to the 2004-2006 trend. CONCLUSIONS: The dramatic increase in the rate of children starting to be looked after has been greater in poorer areas and in areas more deeply affected by recession. But trends in unemployment do not explain the decade-long rise in inequalities, suggesting that other socioeconomic factors, including rising child poverty and reduced spending on children's services, may be fuelling inequalities. Policies to safely reduce the CLA rate should urgently address the social determinants of child health and well-being.

Do neighbourhood characteristics act together to influence BMI? A cross-sectional study of urban parks and takeaway/fast-food stores as modifiers of the effect of physical activity facilities.

Studies exploring associations between neighbourhood environment and obesity often overlook the fact that neighbourhoods are multi-dimensional and that the effects of one environmental exposure may be modified by another. We examine whether associations between neighbourhood density of formal physical activity (PA) facilities and body mass index (BMI) are modified by the density of neighbourhood green spaces and takeaway stores. We used cross-sectional data from the UK Biobank cohort and linked UK Biobank Urban Morphometric Platform (UKBUMP) for 345,269 urban-dwelling adults aged 40-69. We examined associations between objectively measured BMI and the number of formal PA facilities (gyms, pools, etc.) within 1 km of each individual's home, testing separately for interactions with the number of local public green spaces, and number of takeaway stores, within the same 1 km buffers. We estimated modifier-stratified associations using multivariable, multilevel models to account for a clustered sampling design and potential confounding. Likelihood ratio tests were used to assess statistical interaction. We found that the association between a greater number of local PA facilities and lower BMI was stronger among people with fewer urban green spaces in their neighbourhood than among those with more green spaces (Pinteraction = 0.021). The same relationship between PA facilities and BMI was also noticeably attenuated among those with more takeaway stores near home, compared with people with none (Pinteraction = 0.014). We conclude that formal PA facilities may buffer against a lack of informal, green resources for PA in areas where the latter are scarce. However, the potential benefits of formal PA facilities in terms of obesity risk may be undermined by an unhealthy food environment close to home. Locating formal PA facilities in places with fewer public green resources and reducing the prevalence of takeaway stores in areas with formal PA resources may maximise the health benefits to be derived from these neighbourhood resources.

Genetic risk of obesity as a modifier of associations between neighbourhood environment and body mass index: an observational study of 335 046 UK Biobank participants.

BACKGROUND: There is growing recognition that recent global increases in obesity are the product of a complex interplay between genetic and environmental factors. However, in gene-environment studies of obesity, 'environment' usually refers to individual behavioural factors that influence energy balance, whereas more upstream environmental factors are overlooked. We examined gene-environment interactions between genetic risk of obesity and two neighbourhood characteristics likely to be associated with obesity (proximity to takeaway/fast-food outlets and availability of physical activity facilities). METHODS: We used data from 335 046 adults aged 40-70 in the UK Biobank cohort to conduct a population-based cross-sectional study of interactions between neighbourhood characteristics and genetic risk of obesity, in relation to body mass index (BMI). Proximity to a fast-food outlet was defined as distance from home address to nearest takeaway/fast-food outlet, and availability of physical activity facilities as the number of formal physical activity facilities within 1 km of home address. Genetic risk of obesity was operationalised by weighted Genetic Risk Scores of 91 or 69 single nucleotide polymorphisms (SNP), and by six individual SNPs considered separately. Multivariable, mixed-effects models with product terms for the gene-environment interactions were estimated. RESULTS: After accounting for likely confounding, the association between proximity to takeaway/fast-food outlets and BMI was stronger among those at increased genetic risk of obesity, with evidence of an interaction with polygenic risk scores (p=0.018 and p=0.028 for 69-SNP and 91-SNP scores, respectively) and in particular with a SNP linked to MC4R (p=0.009), a gene known to regulate food intake. We found very little evidence of gene-environment interaction for the availability of physical activity facilities. CONCLUSIONS: Individuals at an increased genetic risk of obesity may be more sensitive to exposure to the local fast-food environment. Ensuring that neighbourhood residential environments are designed to promote a healthy weight may be particularly important for those with greater genetic susceptibility to obesity.

Associations between fast food and physical activity environments and adiposity in mid-life: cross-sectional, observational evidence from UK Biobank.

BACKGROUND: The built environment might be associated with development of obesity and related disorders. We examined whether neighbourhood exposure to fast-food outlets and physical activity facilities were associated with adiposity in UK adults. METHODS: We used cross-sectional observational data from UK Biobank. Participants were aged 40-70 years and attended 21 assessment centres between 2006 and 2010. Using linked data on environments around each participant's residential address, we examined whether density of physical activity facilities and proximity to fast-food outlets were associated with waist circumference, body-mass index (BMI), and body fat percentage. We used multilevel linear regression models adjusted for potential confounders, and conducted several sensitivity analyses. FINDINGS: Complete case sample sizes were 401 917 (waist circumference models), 401 435 (BMI), and 395 640 (body fat percentage). Greater density of physical activity facilities within 1000 m of home was independently associated with smaller waist circumference and lower BMI and body fat percentage. Compared with people with no nearby facilities, those with at least six facilities close to home had 1·22 cm smaller waist circumference (95% CI -1·64 to -0·80), 0·57 kg/m2 lower BMI (-0·74 to -0·39), and 0·81 percentage points lower body fat (-1·03 to -0·59). Living further from a fast-food outlet was weakly associated with waist circumference and BMI, mostly among women. Compared with people living fewer than 500 m from a fast-food outlet, those living at least 2000 m away had 0·26 cm smaller waist circumference (-0·52 to 0·01). INTERPRETATION: This study shows strong associations between high densities of physical activity facilities and lower adiposity for adults in mid-life. We observed weaker associations for access to fast food, but these are likely to be underestimated owing to limitations of the food environment measure. Policy makers should consider interventions aimed at tackling the obesogenic built environment. FUNDING: Commonwealth Scholarship Commission, Wellcome Trust Institutional Strategic Support Fund.

Breast cancer screening of women aged 70-74 years: results from a natural experiment across Australia.

There is a lack of evidence regarding the optimal age at which to cease mammographic screening for breast cancer. This ecological study compared Australian state and territory level screening participation rates and cancer outcomes from 1996 to 2005 to identify the extent to which screening women aged 70-74 results in smaller, earlier stage breast cancers. With each 10 % absolute increase in screening participation, there was no significant difference in cancer incidence, but the incidence of large cancers was 8 % lower (IRR = 0.92, 95 % CI 0.90-0.94, p < 0.001); there was some evidence of reduced nodal involvement at diagnosis (IRR 0.97, 95 % CI 0.95-0.99, p = 0.004) but this estimate was sensitive to assumptions regarding missing data. Increased mammographic screening of women aged 70-74 years reduces the incidence of large (>15 mm) cancers-and possibly cancers with nodal involvement-without a concomitant increase in overall cancer incidence.

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.

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.

Mammographic screening and breast cancer mortality: a case-control study and meta-analysis.

BACKGROUND: Observational studies are necessary to assess the impact of population screening on breast cancer mortality. While some ecological studies have notably found little or no association, case-control studies consistently show strong inverse associations, but they are sometimes ignored, perhaps due to theoretical biases arising from the study design. We conducted a case-control study of breast cancer deaths in Western Australia to evaluate the effect of participation in the BreastScreen Australia program, paying particular attention to potential sources of bias, and undertook an updated meta-analysis of case-control studies. METHODS: Our study included 427 cases (women who died from breast cancer), each matched to up to 10 controls. We estimated the association between screening participation and breast cancer mortality, quantifying the effect of potential sources of bias on our findings, including selection bias, information bias, and confounding. We also conducted a meta-analysis of published case-control studies. RESULTS: The OR for participation in the Western Australian BreastScreen program in relation to death from breast cancer was 0.48 [95% confidence interval (CI), 0.38-0.59; P < 0.001]. We were unable to identify biases that could negate this finding: sensitivity analyses generated ORs from 0.45 to 0.52. Our meta-analysis yielded an OR of 0.51 (95% CI, 0.46-0.55). CONCLUSIONS: Our findings suggest an average 49% reduction in breast cancer mortality for women who are screened. In practice, theoretical biases have little effect on estimates from case-control studies. IMPACT: Case-control studies, such as ours, provide robust and consistent evidence that screening benefits women who choose to be screened.

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.