Single-item measure of food insecurity used in the National Health Survey may underestimate prevalence in Australia.

OBJECTIVES: To compare prevalence estimates of food insecurity using a single-item measure, with three adaptations of the United States Department of Agriculture Food Security Survey Module (USDA-FSSM). METHODS: Data were collected by postal survey, from individuals aged ≥18 years from disadvantaged suburbs of Brisbane, Australia (n= 505, 53% response). Food security status was ascertained by the Australian single-item measure, and the 6-, 10- and 18-item versions of the USDA-FSSM. Prevalence estimates of food insecurity and different levels of severity of food insecurity estimated by each tool were determined. Data were analysed using McNemar's test, polychoric correlation and Rasch analyses. RESULTS: The prevalence of food insecurity was 19.5% using the single-item measure; significantly less than the 24.4%, 22.8% and 21.1% identified using the 18-item, 10-item and 6-item versions of the USDA-FSSM, respectively. Rasch analyses revealed that overall the USDA-FSSM may be a valid tool for the measurement of food insecurity within the current sample. CONCLUSION: The measure of food insecurity employed in national surveys in Australia may underestimate its prevalence and public health significance. Implications for public health: Future monitoring and surveillance efforts should seek to employ a more accurate measure as the first step in recognising the right to food for all Australians.

Neighbourhood disadvantage and smoking: Examining the role of neighbourhood-level psychosocial characteristics.

PURPOSE: This study aims to determine if neighbourhood psychosocial characteristics contribute to inequalities in smoking among residents from neighbourhoods of differing socioeconomic disadvantage. METHODS: This cross-sectional study includes 11,035 residents from 200 neighbourhoods in Brisbane, Australia in 2007. Self-reported measures were obtained for smoking and neighbourhood psychosocial characteristics (perceptions of incivilities, crime and safety, and social cohesion). Neighbourhood socioeconomic disadvantage was measured using a census-derived index. Data were analysed using multilevel logistic regression random intercept models. RESULTS: Smoking was associated with neighbourhood disadvantage; this relationship remained after adjustment for individual-level socioeconomic position. Area-level perceptions of crime and safety and social cohesion were not independently associated with smoking, and did not explain the higher prevalence of smoking in disadvantaged areas; however, perceptions of incivilities showed an independent effect. CONCLUSIONS: Some neighbourhood psychosocial characteristics seem to contribute to the higher rates of smoking in disadvantaged areas.

The contribution of three components of nutrition knowledge to socio-economic differences in food purchasing choices.

OBJECTIVES: To assess socio-economic differences in three components of nutrition knowledge, i.e. knowledge of (i) the relationship between diet and disease, (ii) the nutrient content of foods and (iii) dietary guideline recommendations; furthermore, to determine if socio-economic differences in nutrition knowledge contribute to inequalities in food purchasing choices. DESIGN: The cross-sectional study considered household food purchasing, nutrition knowledge, socio-economic and demographic information. Household food purchasing choices were summarised by three indices, based on self-reported purchasing of sixteen groceries, nineteen fruits and twenty-one vegetables. Socio-economic position (SEP) was measured by household income and education. Associations between SEP, nutrition knowledge and food purchasing were examined using general linear models adjusted for age, gender, household type and household size. SETTING: Brisbane, Australia in 2000. SUBJECTS: Main household food shoppers (n 1003, response rate 66·4 %), located in fifty small areas (Census Collectors Districts). RESULTS: Shoppers in households of low SEP made food purchasing choices that were less consistent with dietary guideline recommendations: they were more likely to purchase grocery foods comparatively higher in salt, sugar and fat, and lower in fibre, and they purchased a narrower range of fruits and vegetables. Those of higher SEP had greater nutrition knowledge and this factor attenuated most associations between SEP and food purchasing choices. Among nutrition knowledge factors, knowledge of the relationship between diet and disease made the greatest and most consistent contribution to explaining socio-economic differences in food purchasing. CONCLUSIONS: Addressing inequalities in nutrition knowledge is likely to reduce socio-economic differences in compliance with dietary guidelines. Improving knowledge of the relationship between diet and disease appears to be a particularly relevant focus for health promotion aimed to reduce socio-economic differences in diet and related health inequalities.

Life course socioeconomic conditions, adulthood risk factors and cardiovascular mortality among men and women: a 17-year follow up of the GLOBE study.

BACKGROUND: Our goal was to study associations between childhood socioeconomic position (SEP), adulthood SEP, adulthood risk factors and cardiovascular disease (CVD) mortality, by investigating the critical period and pathway models. METHODS: The prospective GLOBE study in the Netherlands, with baseline data from 1991, was linked with cause of death register data from Statistics Netherlands in 2007. At baseline, respondents reported information on childhood SEP (i.e. occupational level of respondent's father), adulthood SEP (educational level), and adulthood risk factors (health behaviours, material circumstances, and psychosocial factors). Analyses included 4894 men and 5572 women. Data were analysed by Cox proportional hazard ratios (HR) with CVD mortality as the outcome. RESULTS: Childhood SEP was associated with CVD mortality among men with the lowest childhood SEP only (HR 1.32, 95% CI 1.00-1.74), and not among women. The majority of childhood SEP inequalities in CVD mortality among men (88%) were explained by material, behavioural and psychosocial risk factors in adulthood, and adulthood SEP. This was mostly due to the association of childhood SEP with adulthood SEP, and the interrelations of adulthood SEP with risk factors, and partly via the direct association of childhood SEP with adulthood risk factors, independent of adulthood SEP. CONCLUSION: This study supports the pathway model for men, but found no evidence that socioeconomic conditions in childhood are critical for CVD mortality in later life independent of adulthood conditions. Developing effective methods to reduce material and behavioural risk factors among lower socioeconomic groups should be a top priority in cardiovascular disease prevention.

Socioeconomic inequalities in cardiovascular mortality and the role of childhood socioeconomic conditions and adulthood risk factors: a prospective cohort study with 17-years of follow up.

BACKGROUND: The mechanisms underlying socioeconomic inequalities in mortality from cardiovascular diseases (CVD) are largely unknown. We studied the contribution of childhood socioeconomic conditions and adulthood risk factors to inequalities in CVD mortality in adulthood. METHODS: The prospective GLOBE study was carried out in the Netherlands, with baseline data from 1991, and linked with the cause of death register in 2007. At baseline, participants reported on adulthood socioeconomic position (SEP) (own educational level), childhood socioeconomic conditions (occupational level of respondent's father), and a broad range of adulthood risk factors (health behaviours, material circumstances, psychosocial factors). This present study is based on 5,395 men and 6,306 women, and the data were analysed using Cox regression models and hazard ratios (HR). RESULTS: A low adulthood SEP was associated with increased CVD mortality for men (HR 1.84; 95% CI: 1.41-2.39) and women (HR 1.80; 95%CI: 1.04-3.10). Those with poorer childhood socioeconomic conditions were more likely to die from CVD in adulthood, but this reached statistical significance only among men with the poorest childhood socioeconomic circumstances. About half of the investigated adulthood risk factors showed significant associations with CVD mortality among both men and women, namely renting a house, experiencing financial problems, smoking, physical activity and marital status. Alcohol consumption and BMI showed a U-shaped relationship with CVD mortality among women, with the risk being significantly greater for both abstainers and heavy drinkers, and among women who were underweight or obese. Among men, being single or divorced and using sleep/anxiety drugs increased the risk of CVD mortality. In explanatory models, the largest contributor to adulthood CVD inequalities were material conditions for men (42%; 95% CI: -73 to -20) and behavioural factors for women (55%; 95% CI: -191 to -28). Simultaneous adjustment for adulthood risk factors and childhood socioeconomic conditions attenuated the HR for the lowest adulthood SEP to 1.34 (95% CI: 0.99-1.82) for men and 1.19 (95% CI: 0.65-2.15) for women. CONCLUSIONS: Adulthood material, behavioural and psychosocial factors played a major role in the explanation of adulthood SEP inequalities in CVD mortality. Childhood socioeconomic circumstances made a modest contribution, mainly via their association with adulthood risk factors. Policies and interventions to reduce health inequalities are likely to be most effective when considering the influence of socioeconomic circumstances across the entire life course and in particular, poor material conditions and unhealthy behaviours in adulthood.

Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review.

BACKGROUND: This study systematically reviewed the evidence pertaining to socioeconomic inequalities in different domains of physical activity (PA) by European region. METHODS: Studies conducted between January 2000 and December 2010 were identified by a systematic search in Pubmed, Embase, Web of Science, Psychinfo, Sportdiscus, Sociological Abstracts, and Social Service Abstracts. English-language peer-reviewed studies undertaken in the general population of adults (18-65 years) were classified by domain of PA (total, leisure-time including sport, occupational, active transport), indicator of socioeconomic position (education, income, occupation), and European region. Distributions of reported positive, negative, and null associations were evaluated. RESULTS: A total of 131 studies met the inclusion criteria. Most studies were conducted in Scandinavia (n = 47). Leisure-time PA was the most frequently studied PA outcome (n = 112). Considerable differences in the direction of inequalities were seen for the different domains of PA. Most studies reported that those with high socioeconomic position were more physically active during leisure-time compared to those with low socioeconomic position (68% positive associations for total leisure-time PA, 76% for vigorous leisure-time PA). Occupational PA was more prevalent among the lower socioeconomic groups (63% negative associations). Socioeconomic differences in total PA and active transport PA did not show a consistent pattern (40% and 38% positive associations respectively). Some inequalities differed by European region or socioeconomic indicator, however these differences were not very pronounced. CONCLUSIONS: The direction of socioeconomic inequalities in PA in Europe differed considerably by domain of PA. The contradictory results for total PA may partly be explained by contrasting socioeconomic patterns for leisure-time PA and occupational PA.

Food insecurity among adults residing in disadvantaged urban areas: potential health and dietary consequences.

OBJECTIVE: Food insecurity is the limited or uncertain availability or access to nutritionally adequate, culturally appropriate and safe foods. Food insecurity may result in inadequate dietary intakes, overweight or obesity and the development of chronic disease. Internationally, few studies have focused on the range of potential health outcomes related to food insecurity among adults residing in disadvantaged locations and no such Australian studies exist. The objective of the present study was to investigate associations between food insecurity, sociodemographic and health factors and dietary intakes among adults residing in disadvantaged urban areas. DESIGN: Data were collected by mail survey (n 505, 53 % response rate), which ascertained information about food security status, demographic characteristics (such as age, gender, household income, education) fruit and vegetable intakes, takeaway and meat consumption, general health, depression and chronic disease. SETTING: Disadvantaged suburbs of Brisbane city, Australia, 2009. SUBJECTS: Individuals aged ≥ 20 years. RESULTS: Approximately one in four households (25 %) was food insecure. Food insecurity was associated with lower household income, poorer general health, increased health-care utilisation and depression. These associations remained after adjustment for age, gender and household income. CONCLUSIONS: Food insecurity is prevalent in urbanised disadvantaged areas in developed countries such as Australia. Low-income households are at high risk of experiencing food insecurity. Food insecurity may result in significant health burdens among the population, and this may be concentrated in socio-economically disadvantaged suburbs.

Explaining socio-economic inequalities in daily smoking: a social-ecological approach.

BACKGROUND: This study assessed the contributions of individual, household and neighbourhood-level factors to socio-economic inequalities in smoking. METHODS: Data came from 2706 participants of the 2004 wave of the Dutch GLOBE study. Participants were asked about several social and material characteristics of their households, neighbourhoods and smoking in their environment. Indicators of socio-economic position were education and income. Associations with daily smoking were examined using logistic regression analyses. RESULTS: Education and income were independently associated with daily smoking (mutually adjusted odds ratios for the lowest education and income groups: odds ratio (OR): 2.87, 95% confidence interval (95% CI): 1.78-4.62; OR: 1.55, 95% CI: 1.09-2.23, respectively). Individual beliefs about smoking contributed most to the association of education with daily smoking. Individual beliefs about smoking and household material adversity contributed most to the association of income with daily smoking. We found no evidence that negative perceptions of the neighbourhood contributed to smoking inequalities. In fully adjusted models, associations between income and smoking were fully attenuated, but an independent association between education and smoking remained. CONCLUSION: Education and income were related to smoking through partly different pathways. Reducing inequalities in smoking may require a multidimensional approach targeting material and social factors, with strategies targeted towards the individual and the household level.

Socio-economic differences in takeaway food consumption among adults.

OBJECTIVE: To examine socio-economic differences in the frequency and types of takeaway foods consumed. DESIGN: A cross-sectional postal survey. SETTING: Participants were asked about their usual consumption of overall takeaway food (<4 times/month or ≥4 times/month) and of twenty-two specific takeaway food items (<1 time/month or ≥1 time/month); these latter foods were grouped into 'healthy' and 'less healthy' choices. Socio-economic position was measured on the basis of educational level and equivalised household income, and differences in takeaway food consumption were assessed by calculating prevalence ratios using log binomial regression. SUBJECTS: Adults aged 25-64 years from Brisbane, Australia, were randomly selected from the electoral roll (n 903; 63·7 % response rate). RESULTS: Compared with their more educated counterparts, the least educated were more regular consumers of overall takeaway food and fruit or vegetable juice and less regular consumers of sushi. For the 'less healthy' items, the least educated more regularly consumed potato chips, savoury pies, fried chicken and non-diet soft drinks; however, the least educated were less likely to consume curry. Household income was not associated with overall takeaway consumption. The lowest-income group was a more regular consumer of fruit or vegetable juice compared with the highest-income group. Among the 'less healthy' items, the lowest-income group was a more regular consumer of fried fish, ice cream and milk shakes, whereas curry was consumed less regularly. CONCLUSIONS: The frequency and types of takeaway foods consumed by socio-economically disadvantaged groups may contribute to inequalities in overweight or obesity and to chronic disease.

Food insecurity among Australian children: potential determinants, health and developmental consequences.

Children in food-insecure households may be at risk of poor health, developmental or behavioural problems. This study investigated the associations between food insecurity, potential determinants and health and developmental outcomes among children. Data on household food security, socio-demographic characteristics and children's weight, health and behaviour were collected from households with children aged 3-17 years in socioeconomically disadvantaged suburbs by mail survey using proxy-parental reports (185 households). Data were analysed using logistic regression. Approximately one-in-three households (34%) were food insecure. Low household income was associated with an increased risk of food insecurity [odds ratio (OR), 16.20; 95% confidence interval (CI), 3.52-74.47]. Children with a parent born outside of Australia were less likely to experience food insecurity (OR, 0.42; 95% CI, 0.19-0.93). Children in food-insecure households were more likely to miss days from school or activities (OR, 3.52; 95% CI, 1.46-8.54) and were more likely to have borderline or atypical emotional symptoms (OR, 2.44; 95% CI, 1.11-5.38) or behavioural difficulties (OR, 2.35; 95% CI, 1.04-5.33). Food insecurity may be prevalent among socioeconomically disadvantaged households with children. The potential developmental consequences of food insecurity during childhood may result in serious adverse health and social implications.

Contribution of take-out food consumption to socioeconomic differences in fruit and vegetable intake: a mediation analysis.

Lower fruit and vegetable (F/V) intake among socioeconomically disadvantaged groups has been well documented, and may be a consequence of a higher consumption of take-out foods. This study examined whether, and to what extent, take-out food consumption mediated (explained) the association between socioeconomic position and F/V intake. A cross-sectional postal survey was conducted among 1,500 randomly selected adults aged 25 to 64 years in Brisbane, Australia, during 2009 (response rate 63.7%, N=903). A food frequency questionnaire assessed usual daily servings of F/V (0 to 6), overall take-out consumption (times per week), and the consumption of 22 specific take-out items (never to once per day or more). These specific take-out items were grouped into "less healthy" and "healthy" choices and indexes were created for each type of choice (0 to 100). Socioeconomic position was ascertained by education. The analyses were performed using linear regression, and a bootstrap resampling approach estimated the statistical significance of the mediated effects. Mean daily servings of F/V were 1.89±1.05 and 2.47±1.12, respectively. The least educated group members were more likely to consume fewer servings of fruit (ß= -.39, P<0.001) and vegetables (ß= -.43, P<0.001) compared with members of the highest educated group. The consumption of "less healthy" take-out food partly explained (mediated) education differences in F/V intake; however, no mediating effects were observed for overall and "healthy" take-out consumption. Regular consumption of "less healthy" take-out items may contribute to socioeconomic differences in F/V intake, possibly by displacing these foods.

Test-retest reliability of perceptions of the neighborhood environment for physical activity by socioeconomic status.

BACKGROUND: Further development of high quality measures of neighborhood perceptions will require extensions and refinements to our existing approaches to reliability assessment. This study examined the test-retest reliability of perceptions of the neighborhood environment by socioeconomic status (SES). METHODS: Test and retest surveys were conducted using a mail survey method with persons aged 40 to 65 years (n = 222, 78.2% response rate). SES was measured using the respondent's education level and the socioeconomic characteristics of their neighborhood of residence. Reliability was assessed using intraclass correlations (ICC) estimated with random coefficient models. RESULTS: Overall, the 27 items had moderate-to-substantial reliability (ICC = 0.41-0.74). Few statistically significant differences were found in ICC between the education groups or neighborhoods, although the ICCs were significantly larger among the low SES for items that measured perceptions of neighborhood greenery, interesting things to see, litter, traffic volume and speed, crime, and rowdy youth on the streets. CONCLUSION: For the majority of the items, poor reliability and subsequent exposure misclassification is no more or less likely among low educated respondents and residents of disadvantaged neighborhoods. Estimates of the association between neighborhood perceptions and physical activity therefore are likely to be similarly precise irrespective of the respondent's socioeconomic background.

Individual and household-level socioeconomic position is associated with harmful alcohol consumption behaviours among adults.

AIM: To examine associations between individual-, household- and neighbourhood-level socioeconomic position (SEP) and harmful alcohol consumption. METHOD: Adults aged 18-76 residing in 50 neighbourhoods in Melbourne completed a postal questionnaire (n= 2349, 58.7% response rate). Alcohol-related behaviours were classified by risk of short- and long-term harm. Individual-, household- and neighbourhood-level SEP were ascertained by education, household income and proportion of low-income households, respectively. The association were examined by multi-level logistic regression. RESULTS: Participants lower education or household income were less likely to consume alcohol frequently compared to their more-advantaged counterparts. Lower-educated men were more likely to be at risk of short-term harm [OR 1.75 (1.23 - 2.48)]. Low-income women were less likely to be at risk of short-term harm [OR 0.44 (0.23 - 0.81)]. Neighbourhood disadvantage was not associated with alcohol consumption. CONCLUSION: Men and women from socioeconomically advantaged backgrounds were more frequent consumers of alcohol, whereas their disadvantaged counterparts drank less frequently but in greater quantities on each drinking occasion. IMPLICATIONS: Socioeconomic disadvantage at the individual and household levels may be an important determinant of alcohol consumption among Australian adults.

Perceived weight status may contribute to education inequalities in five-year weight change among mid-aged women.

OBJECTIVES: To examine education differences in five-year weight change among mid-aged adults, and to ascertain if this may be due to socioeconomic differences in perceived weight status or weight control behaviours (WCBs). METHODS: Data were used from the Australian Diabetes, Obesity and Lifestyle Study. Mid-aged men and women with measured weights at both baseline (1999-2000) and follow-up (2004-2005) were included. Percent weight change over the five-year interval was calculated and perceived weight status, WCBs and highest attained education were collected at baseline. RESULTS: Low-educated men and women were more likely to be obese at baseline compared to their high-educated counterparts. Women with a certificate-level education had a greater five-year weight gain than those with a bachelor degree or higher. Perceived weight status or WCBs did not differ by education among men and women, however participants that perceived themselves as very overweight had less weight gain than those perceiving themselves as underweight or normal weight. WCBs were not associated with five-year weight change. CONCLUSIONS AND IMPLICATIONS: The higher prevalence of overweight/obesity among low-educated women may be a consequence of greater weight gain in mid-adulthood. Education inequalities in overweight/obesity among men and women made be due (in part) to overweight or obese individuals in low-educated groups not perceiving themselves as having a weight problem.

Socio-economic differences in weight-control behaviours and barriers to weight control.

OBJECTIVE: To examine socio-economic differences in weight-control behaviours (WCB) and barriers to weight control. DESIGN: A cross-sectional study. SETTING: Data were obtained by means of a postal questionnaire. SUBJECTS: A total of 1013 men and women aged 45-60 years residing in Brisbane, Australia (69·8 % response rate). RESULTS: Binary and multinomial logistic regression analyses were performed, adjusted for age, gender and BMI. Socio-economically disadvantaged groups were less likely to engage in weight control (OR for lowest income quartile = 0·60, 95 % CI 0·39, 0·94); among those who engaged in weight control, the disadvantaged group had a likelihood of 0·52 (95 % CI 0·30, 0·90) of adopting exercise strategies, including moderate (OR = 0·56, 95 % CI 0·33, 0·96) and vigorous (OR = 0·47, 95 % CI 0·25, 0·89) physical activities, compared with their more-advantaged counterparts. However, lower socio-economic groups were more likely to decrease their sitting time to control their weight compared with their advantaged counterparts (OR for secondary school or lower education = 1·78, 95 % CI 1·11, 2·84). They were also more likely to believe that losing weight was expensive, not of high priority, required a lot of cooking skills and involved eating differently from others in the household. CONCLUSIONS: Marked socio-economic inequalities existed with regard to engaging in WCB, the type of weight-control strategies used and the perceived barriers to weight control; these differences are consistent with socio-economic gradients in weight status. These factors may need to be included in health promotion strategies that address socio-economic inequalities in weight status, as well as inequalities in weight-related health outcomes.

Neighborhood disadvantage and physical activity: baseline results from the HABITAT multilevel longitudinal study.

PURPOSE: To examine the association between neighborhood disadvantage and physical activity (PA). METHODS: We use data from the HABITAT multilevel longitudinal study of PA among middle-aged (40-65 years) men and women (N = 11,037, 68.5% response rate) living in 200 neighborhoods in Brisbane, Australia. PA was measured using three questions from the Active Australia Survey (general walking, moderate, and vigorous activity), one indicator of total activity, and two questions about walking and cycling for transport. The PA measures were operationalized by using multiple categories based on time and estimated energy expenditure that were interpretable with reference to the latest PA recommendations. The association between neighborhood disadvantage and PA was examined with the use of multilevel multinomial logistic regression and Markov chain Monte Carlo simulation. The contribution of neighborhood disadvantage to between-neighborhood variation in PA was assessed using the 80% interval odds ratio. RESULTS: After adjustment for sex, age, living arrangement, education, occupation, and household income, reported participation in all measures and levels of PA varied significantly across Brisbane's neighborhoods, and neighborhood disadvantage accounted for some of this variation. Residents of advantaged neighborhoods reported significantly higher levels of total activity, general walking, moderate, and vigorous activity; however, they were less likely to walk for transport. There was no statistically significant association between neighborhood disadvantage and cycling for transport. In terms of total PA, residents of advantaged neighborhoods were more likely to exceed PA recommendations. CONCLUSIONS: Neighborhoods may exert a contextual effect on the likelihood of residents participating in PA. The greater propensity of residents in advantaged neighborhoods to do high levels of total PA may contribute to lower rates of cardiovascular disease and obesity in these areas.

HABITAT: A longitudinal multilevel study of physical activity change in mid-aged adults.

BACKGROUND: Little is known about the patterns and influences of physical activity change in mid-aged adults. This study describes the design, sampling, data collection, and analytical plan of HABITAT, an innovative study of (i) physical activity change over five years (2007-2011) in adults aged 40-65 years at baseline, and (ii) the relative contribution of psychological variables, social support, neighborhood perceptions, area-level factors, and sociodemographic characteristics to physical activity change. METHODS/DESIGN: HABITAT is a longitudinal multi-level study. 1625 Census Collection Districts (CCDs) in Brisbane, Australia were ranked by their index of relative socioeconomic disadvantage score, categorized into deciles, and 20 CCDs from each decile were selected to provide 200 local areas for study inclusion. From each of the 200 CCDs, dwellings with individuals aged between 40-65 years (in 2007) were identified using electoral roll data, and approximately 85 people per CCD were selected to participate (N = 17,000). A comprehensive Geographic Information System (GIS) database has been compiled with area-level information on public transport networks, footpaths, topography, traffic volume, street lights, tree coverage, parks, public services, and recreational facilities Participants are mailed a questionnaire every two years (2007, 2009, 2011), with items assessing physical activity (general walking, moderate activity, vigorous activity, walking for transport, cycling for transport, recreational activities), sitting time, perceptions of neighborhood characteristics (traffic, pleasant surroundings, streets, footpaths, crime and safety, distance to recreational and business facilities), social support, social cohesion, activity-related cognitions (attitudes, efficacy, barriers, motivation), health, and sociodemographic characteristics. Analyses will use binary and multinomial logit regression models, as well as generalized linear latent growth models. DISCUSSION: HABITAT will provide unique information to improve our understanding of the determinants of physical activity, and to help identify "people" and "place" priority targets for public policy and health promotion aimed at increasing physical activity participation among mid-aged men and women.

Socioeconomic position at different stages of the life course and its influence on body weight and weight gain in adulthood: a longitudinal study with 13-year follow-up.

Socioeconomic inequalities in body weight have been demonstrated in numerous cross-sectional studies; however, little research has investigated these inequalities from a life course and longitudinal perspective. We examined the association between child- and adulthood socioeconomic position (SEP) and BMI and overweight/obesity in 1991 (baseline) and changes in BMI and the prevalence of overweight and obesity between 1991 and 2004. Data from the 1991 and 2004 waves of the longitudinal Dutch GLOBE study were used. Participants (n = 1,465) were aged 40-60 years at baseline. BMI was calculated from self-reported height and weight collected by postal questionnaire. Retrospective recall of father's occupation was used as childhood socioeconomic indicator, and adulthood SEP was measured by the occupation of the main income earner of the household. The findings showed that among women, childhood SEP exerted a greater influence on body weight than SEP in adulthood: at baseline, women from disadvantaged backgrounds in childhood had a higher BMI and were more likely to be overweight or obese, and they gained significantly more weight between baseline and follow-up. In contrast, adult SEP had a greater impact than childhood circumstances on men's body weight: those from disadvantaged households had a higher mean BMI and were more likely to be overweight or obese at baseline, and they gained significantly more weight between 1991 and 2004. The findings suggest that exposure to disadvantaged circumstances at critically important periods of the life course is associated with body weight and weight gain in adulthood. Importantly, these etiologically relevant periods differ for men and women, suggesting gender-specific pathways to socioeconomic inequalities in body weight in adulthood.

Socioeconomic disadvantage and the purchase of takeaway food: a multilevel analysis.

This study examined relationships between individual-level socioeconomic position, area-level disadvantage, characteristics of the takeaway food environment, and the purchase of takeaway food. 'Takeaway' is conceptualised as foods or meals that are prepared and purchased outside of the home, and ready for immediate consumption either at the place of purchase or elsewhere. The analytic sample comprised 1001 households and 50 small areas in Brisbane, Australia. Takeaway food was purchased more regularly by high-income householders and those with higher levels of education. Residents of advantaged areas purchased takeaway food more regularly, although area differences attenuated to the null after adjustment for individual-level compositional factors. Number of takeaway shops in the local food environment, and road distance to the closest takeaway shop, were largely unrelated to the purchase of takeaway food. We conclude that there is little evidence that takeaway food purchasing in Brisbane is influenced by area-level socioeconomic disadvantage or features of the takeaway food environment. Rather, it seems that what matters most in terms of influencing the decision or capacity of Brisbane residents to purchase takeaway food are the socioeconomic characteristics of individuals and their households. The findings of this and previous analyses of the Brisbane Food Study data suggest that policy and health promotion aimed at improving the diets of residents and reducing dietary inequalities between socioeconomic groups should focus on people more so than places.