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We developed and validated a composite healthy ageing score (HAS) to address the absence of a definitive composite score comprising multiple health domains that measure healthy ageing in epidemiology. The HAS is developed from 13 health domains reported to influence healthy ageing. Data to measure these domains was extracted from the 45 and Up Study baseline. We applied best practices for scale validation and development. Physical functioning, cognitive function, mental health, sleep, quality of life, balance, social connections and overall health were retained. Functional capacity and resilience were uncovered as underlying latent structures. The HAS ranges from 0 to 16 with higher scores indicating a better health profile. This research contributes a comprehensive measuring tool, HAS, It enables examination and comparison of individual or collective health profiles and the investigation of the factors that influence their chances of living healthy for longer. [ABSTRACT FROM AUTHOR]

Introduction: Associations between green space type and social loneliness (a scarcity of people one feels they can depend on) were investigated in city-living participants in the Sax Institute's 45 and Up Study. Methods: Availability of green space, tree canopy and open grass were measured as a percentage of land-use within 1.6 km road−network distance buffers using high-resolution data. Multilevel logistic regressions adjusted for confounding tested associations between each green space indicator with the odds of social loneliness at baseline (prevalence) and follow-up (incidence), adjusted for demographic and socioeconomic confounders. Results: The prevalence of social loneliness at baseline was 5.3% (n = 5627 /105,498). Incidence of social loneliness at follow-up was 3.4% (n = 1772/51,365). Adjusted regressions indicated reduced odds of prevalent (OR = 0.95, 95%CI = 0.92–0.98) and incident social loneliness with 10% more green space (OR = 0.92, 95%CI = 0.90– 0.96). Similar associations were found with a 10% increase in tree canopy for both prevalent (OR = 0.92, 95%CI = 0.88–0.95) and incident social loneliness (OR = 0.92, 95%CI = 0.88–0.97). Two-way interaction terms indicated effect modification by sex but not couple status. Among women, a 10% increase in total green space was associated with lower odds of prevalent (OR = 0.95, 0.91–0.95) and incident (OR = 0.89, 0.85–0.95) social loneliness. A 10% increase in tree canopy among women was associated with lower odds of prevalent (OR = 0.89, 085–0.92) and incident (OR = 0.85, 0.80–0.92) social loneliness. Meanwhile, a 10% increase in open grass among women was associated with higher odds of prevalent (OR = 1.08, 1.01–1.15) and incident (OR = 1.19, 1.03–1.35) social loneliness. Associations for men were statistically significant for a 10% increase in total green space (OR = 0.96, 0.92–0.99) and tree canopy (OR = 0.93, 0.90–0.97) for prevalent social loneliness only. Conclusion: Urban greening and tree canopy restoration may reduce risks of social loneliness, perhaps especially in women. [ABSTRACT FROM AUTHOR]

"Nature prescriptions" are increasingly being adopted by health sectors as an adjunct to standard care to attend to health and social needs. We investigated levels of need and interest in nature prescriptions in adults with cardiovascular diseases, psychological distress and concomitants (e.g. physical inactivity, sedentary behaviour, obesity, loneliness, burn-out). A nationally-representative survey of 3,319 adults across all states and territories of Australia was completed in February 2021 (response 84.0%). Participants were classified across 15 target groups using validated health indicators and surveyed on (1) time and frequency of visits to green and blue spaces (nature spaces), (2) interest in a nature prescription, and (3) potential confounders (e.g. age, income). Analyses were done using weighted logistic regressions. The sample was 50.5% female, 52.0% were aged ≥45 years, 15.2% were living alone and 19.3% were born overseas in non-English-speaking countries. Two-thirds of the sample spent 2 hours or more a week in nature, but these levels were generally lower in target groups (e.g. 57.7% in adults with type 2 diabetes). Most participants (81.9%) were interested in a nature prescription, even among those spending fewer than 2 hours a week in nature (76.4%). For example, 2 hours a week or more in nature was lowest among sedentary adults (36.9%) yet interest in nature prescriptions in this group was still high (74.0%). Lower levels of nature contact in target groups was not explained by differences in access to or preference for local nature spaces. High levels of interest in nature prescriptions amid low levels of nature contact in many target health groups provides impetus for developing randomised trials of interventions that enable people to spend more time in nature. These findings can inform intervention co-design processes with a wide range of community stakeholders, end-users in target health groups, and the health professionals who support them. [ABSTRACT FROM AUTHOR]

Nature prescribing – a written recommendation by a health professional for a person to spend more time in nature for health reasons – is being heralded by some as a potential solution to loneliness, defined as a felt deprivation of meaningful connection, companionship, and camaraderie. However, such recommendations currently lack evidence on how much time in natural environments is needed to tackle loneliness and over what timescale. General, emotional, and social loneliness were measured using De Jong Gierveld's 6-item scale in a nationally representative sample of 3043 Australian participants at baseline (October 2020), with 2421 and 2123 completing follow-ups at 4 months (February 2021) and 16 months (February 2022), respectively. Multilevel logistic regressions examined the odds of change in loneliness status between baseline and follow-up in relation to hours spent in nature in the 7 days prior to the baseline survey, adjusting for confounding factors that influence time spent in nature and the risk of feeling lonely. Relief from general loneliness in those experiencing it at baseline was 22.4% at month 4 and 29.4% at month 16. The equivalent findings for relief from social loneliness and emotional loneliness were 21.2% and 24.6%, and 34.2% and 41.2% at months 4 and 16, respectively. Incidence of loneliness at 4 months was 21.8% (general), 26.1% (social), and 11.8% (emotional), and at 16 months was 22.7% (general), 25.6% (social), and 12% (emotional). At each time point, the prevalence of loneliness was lower among participants with more time in nature. Just 1–2 h per week in nature (versus <1) was associated with relief from social loneliness at 4 months (Odds Ratio [OR] 1.69, 95%CI 1.10, 2.65) and at 16 months (OR 2.10, 95%CI 1.34, 3.30). Higher odds of relief from emotional loneliness were observed at 3–4 h spent in nature at 4 months (OR 1.84, 95%CI 1.11, 3.06) and at 16 months (OR 1.82, 95%CI 1.09, 3.07). Incidence of loneliness was not associated with nature contact. Increasing time in nature may an effective non-medical prescription for people who are lonely to find durable relief within a relatively short space of time. Findings from this longitudinal study can inform further investigation through randomised trials of co-designed nature prescriptions targeting relief from loneliness in vulnerable populations. [Display omitted] • Nature contact may reduce loneliness, but evidence-based guidelines are lacking. • National cohort study assesses nature time and onset and relief loneliness by type. • 1–2 h a week in nature supported relief from social loneliness. • 3–4 h per week in nature supported relief from emotional loneliness. • Findings were significant at 4 months and grew in magnitude by 16 months. [ABSTRACT FROM AUTHOR]

Evidence to support nature contact and nature prescriptions to reduce loneliness is scant. A total of 2100 individuals took part in a survey conducted in Australia (n = 525, mean age = 34.1), India (n = 526, mean age = 29.5), Singapore (n = 523, mean age = 36.1), the UK (n = 526, mean age = 37.3), and the US (n = 525, mean age = 43.6) in 2022 (overall age range 18–89yrs). Multilevel logistic regressions adjusted for confounding indicated mean levels of overall loneliness tended to be higher in India (Odds Ratio [OR] 1.21, 95% Confidence Interval [95%CI] 0.90–1.62), Singapore (OR = 1.54, 95%CI = 1.15–2.07), the UK (OR = 1.26, 95%CI = 0.96–1.67) and the US (OR = 1.24, 95%CI = 0.94–1.64) compared with Australia. Notable differences were observed by loneliness type, for example, with lower odds of social loneliness (OR = 0.57, 95%CI = 0.41–0.79) and higher odds of emotional loneliness (OR = 1.57, 95%CI = 1.14–2.06) in India compared with Australia. Findings with regards to loneliness and nature contact varied between country. In general, social loneliness was lower in participants who visited natural surroundings regularly (OR = 0.81, 95%CI = 0.61–0.98) and spent two hours or more per week in nature (OR = 0.65, 95%CI = 0.49–0.81). Overall loneliness (OR = 1.98, 95%CI = 1.48–2.47) and emotional loneliness (OR = 2.84, 95%CI = 2.13–3.51) were substantially higher among those who felt having no-one to go with was a barrier to spending time in nature. Emotional loneliness was higher in those who had more time in nature (OR = 1.32, 95%CI = 0.94–1.75) or more frequent visits (OR = 1.24, 95%CI = 0.94–1.49), which may be indicative of selective processes by which some people who feel emotionally lonely seek meaningful sources of connection or solace in natural environments. In sum, these findings highlight potentially important contingencies in how people feel lonely in different countries, and the potential of contact with nature as a means to address this critical issue of modern times. Randomised trials of nature prescription interventions for loneliness co-designed with respect to contrasting cultural, economic, and climatic contexts are needed to ensure programs intended to reconnect people with nature are effective, equitable, and acceptable for everyone. • Study of nature contact, nature prescriptions and loneliness in five countries. • More nature contact was associated with less social loneliness. • More nature contact was associated with more emotional loneliness. • Nature prescriptions were not associated with loneliness. • Loneliness was higher in persons who had no-one to visit natural environments with. [ABSTRACT FROM AUTHOR]

How we engage in and with nature is of growing interest in relation to our health and well‐being. For nurses with stressful workloads that are contributing to fatigue, psychological burden, insomnia, and decreased coping strategies, interactions with nature or green space are essential as it has been demonstrated to facilitate better environments and outcomes for nurses. Evidence of the impact of nature is limited. However, the value of interactions with nature has been prioritised by the World Health Organization and so healthcare organizations should be considering overt and practical ways to ensure nurses, and other healthcare providers, are exposed to nature to contribute towards healthier environments. [ABSTRACT FROM AUTHOR]

Background: This study aimed to investigate prosocial behaviour—those behaviours that benefit others or enhance relationships with others—as a mediator of the associations between green space quality and child health-related outcomes (physical activity, mental health, and health-related quality of life (HRQOL)). Methods: This study involved data from 4983 children with 10-year follow-up (2004–2014) retrieved from the Longitudinal Study of Australian Children. Green space quality (the exposure), prosocial behaviour (the candidate mediator), and child health-related outcomes were assessed biennially based on caregiver reports. Causal mediation analysis was used, with four mediation models developed for each outcome. Results: Mediation by prosocial behaviour appeared in the late childhood mediation model with higher mediation proportions reported compared to models of earlier and middle childhood. Prosocial behaviour had moderate mediation consistency for the association between green space quality and physical activity enjoyment, but no mediation was evident for other physical activity variables. Prosocial behaviour had low mediation consistency for child mental health (internalising and externalising subscales). Similarly, low mediation consistency of prosocial behaviour was also evident for all HRQOL variables, such as physical, emotional, social, school functioning, psychosocial health, and total quality of life (QOL). Conclusion: Prosocial behaviour partially mediated the association between green space quality and child health-related outcomes (physical activity enjoyment, mental health, and HRQOL). Improving the quality of neighbourhood green space that supports the development of prosocial behaviour may result in better child health-related outcomes. Other physical activity variables might not specifically relate to social interactions, and therefore, no mediation by prosocial behaviour was apparent. [ABSTRACT FROM AUTHOR]

Background: Urban greening may reduce loneliness by offering opportunities for solace, social reconnection and supporting processes such as stress relief. We (i) assessed associations between residential green space and cumulative incidence of, and relief from, loneliness over 4 years; and (ii) explored contingencies by age, sex, disability and cohabitation status.Methods: Multilevel logistic regressions of change in loneliness status in 8049 city-dwellers between 2013 (baseline) and 2017 (follow-up) in the Household, Income and Labour Dynamics in Australia study. Associations with objectively measured discrete green-space buffers (e.g. parks) (<400, <800 and <1600 m) were adjusted for age, sex, disability, cohabitation status, children and socio-economic variables. Results were translated into absolute risk reductions in loneliness per 10% increase in urban greening.Results: The absolute risk of loneliness rose from 15.9% to 16.9% over the 4 years; however, a 10% increase in urban greening within 1.6 km was associated with lower cumulative incident loneliness [odds ratio (OR) = 0.927, 95% confidence interval (CI) = 0.862 to 0.996; absolute risk reduction = 0.66%]. Stronger association was observed for people living alone (OR = 0.828, 95% CI = 0.725 to 0.944). In comparison to people with <10% green space, the ORs for cumulative incident loneliness were 0.833 (95% CI = 0.695 to 0.997), 0.790 (95% CI = 0.624 to 1.000) and 0.736 (95% CI = 0.549 to 0.986) for 10-20%, 20-30% and >30% green space, respectively. Compared with the <10% green-space reference group with 13.78% incident loneliness over 4 years and conservatively assuming no impact on incident loneliness, associations translated into absolute risk reductions of 1.70%, 2.26% and 2.72% within populations with 10-20%, 20-30% and >30% green space, respectively. These associations were stronger again for people living alone, with 10-20% (OR = 0.608, 95% CI = 0.448 to 0.826), 20-30% (OR = 0.649, 95% CI = 0.436 to 0.966) and >30% (OR = 0.480, 95% CI = 0.278 to 0.829) green space within 1600 m. No age, sex or disability-related contingencies, associations with green space within 400 or 800 m or relief from loneliness reported at baseline were observed.Conclusions: A lower cumulative incidence of loneliness was observed among people with more green space within 1600 m of home, especially for people living alone. Potential biopsychosocial mechanisms warrant investigation. [ABSTRACT FROM AUTHOR]

Objective: To test relatively simple and complex models for examining model fit, higher-level variation in, and correlates of, GP consultations, where known nonhier-archical data structures are present. Setting: New South Wales (NSW), Australia. Design: Association between socioeconomic circumstances and geographic remoteness with GP consultation frequencies per participant was assessed using single-level, hierarchical, and multiple membership cross-classified (MMCC) models. Models were adjusted for age, gender, and a range of socioeconomic and demographic confounds. Data Collection/Extraction Methods: A total of 261,930 participants in the Sax Institute's 45 and Up Study were linked to all GP consultation records (Medicare Benefits Schedule; Department of Human Services) within 12 months of baseline (2006-2009). Principal Findings: Deviance information criterion values indicated the MMCC negative binomial regression was the best fitting model, relative to an MMCC Poisson equivalent and simpler hierarchical and single-level models. Between-area variances were relatively consistent across models, even when between GP variation was estimated. Lower rates of GP consultation outside of major cities were only observed once between-GP variation was assessed simultaneously with between-area variation in the MMCC models. Conclusions: Application of the MMCC model is necessary for estimation of variances and effect sizes in sources of big data on primary care in which complex nonhi-erarchical clustering by geographical area and GP is present. [ABSTRACT FROM AUTHOR]

Background: Cross-sectional studies suggest that more green space may lower the odds of prevalent diabetes, hypertension and cardiovascular diseases (CVD) in cities. We assess if these results are replicable for tree canopy exposure and then extend the study longitudinally to examine incident cardiometabolic outcomes.Methods: The study was set in the Australian cities of Sydney, Wollongong and Newcastle. Total green space and tree canopy as percentages of landcover within 1.6 km (1 mile) from home were linked to a residentially stable sample of 46 786 participants in the Sax Institute's 45 and Up Study (baseline 2006-09; follow-up 2012-15). Separate multilevel models were used to investigate whether the odds of prevalent and incident doctor-diagnosed diabetes, hypertension and CVD were associated with total green space and tree canopy provision, adjusting for age, sex, income, education, employment and couple status.Results: Lower odds of prevalent diabetes were observed with 1% increases in total green space [odds ratio (OR) 0.993, 95% confidence interval (CI) 0.988 to 0.998] and tree canopy (0.984, 0.978 to 0.989). Lower odds of prevalent CVD were found with a 1% increase in tree canopy only (0.996, 0.993 to 0.999). Lower odds of incident diabetes (0.988, 0.981 to 0.994), hypertension (0.993, 0.989 to 0.997) and CVD (0.993, 0.988 to 0.998) were associated with a 1% increase in tree canopy, but not total green space. At ≥30% compared with 0-9% tree canopy, there were lower odds of incident diabetes (0.687, 0.547 to 0.855), hypertension (0.828, 0.719 to 0.952) and CVD (0.782, 0.652 to 0.935). However, ≥30% compared with 0-4% total green space was associated with lower odds of prevalent diabetes only (0.695, 0.512 to 0.962).Conclusions: Restoring local tree canopy in neighbourhoods may help to prevent the incidence of cardiometabolic diseases. [ABSTRACT FROM AUTHOR]

Background: Chronic, non-communicable diseases are a significant public health priority, requiring action at individual, community and population levels, and public and political will for such action. Exposure to media, including news, entertainment, and advertising media, is likely to influence both individual behaviours, and attitudes towards preventive actions at the population level. In recent years there has been a proliferation of research exploring how chronic diseases and their risk factors are portrayed across various forms of media. This scoping review aims to map the literature in this area to identify key themes, gaps, and opportunities for future research in this area.Methods: We searched three databases (Medline, PsycINFO and Global Health) in July 2016 and identified 499 original research articles meeting inclusion criteria: original research article, published in English, focusing on media representations of chronic disease (including how issues are framed in media, impact or effect of media representations, and factors that influence media representations). We extracted key data from included articles and examined the health topics, media channels and methods of included studies, and synthesised key themes across studies.Results: Our findings show that research on media portrayals of chronic disease increased substantially between 1985 and 2016. Smoking and nutrition were the most frequent health topics, and television and print were the most common forms of media examined, although, as expected, research on online and social media channels has increased in recent years. The majority of studies focused on the amount and type of media coverage, including how issues are framed, typically using content analysis approaches. In comparison, there was much less research on the influences on and consequences of media coverage related to chronic disease, suggesting an important direction for future work.Conclusions: The results highlight key themes across media research of relevance to chronic disease. More in-depth syntheses of studies within the identified themes will allow us to draw out the key patterns and learnings across the literature. [ABSTRACT FROM AUTHOR]

Cross-sectional studies of Alzheimer's disease tend to report higher risk in 'rural' areas. Multilevel longitudinal analysis of 261,669 participants in the Sax Institute's 45 and Up Study was conducted, tracking incidence of Alzheimer's disease defined by the first cholinesterase inhibitor prescription via linked records from the Department of Human Services in Australia. Alzheimer's disease was diagnosed in 3046 participants over 11 years. Adjusting for age, gender, education, income and area disadvantage, Alzheimer's disease risk was lower in 'outer regional and remote areas' (incident rate ratio 0.81, 95%CI 0.67-0.97) compared with 'major cities'. Further research on environmental factors is warranted. [ABSTRACT FROM AUTHOR]

A type 2 diabetes (T2DM) diagnosis has been referred to as a "wake-up call", but subsequent behavioural change may be influenced by place of residence. Random effects within-between regressions were applied to 130,926 participants in the 45 and Up Study. T2DM diagnoses effected change in the odds of short sleeps and meeting vegetable and alcohol consumption guidelines, but not changes in physical activity. Each of these behaviours varied geographically and were patterned by area disadvantage and geographic remoteness. Impacts of T2DM diagnosis on behavioural change were not found to be geographically contingent, though analysis of specific environmental attributes is warranted. [ABSTRACT FROM AUTHOR]

Background: We investigated the spatial patterning and correlates of tobacco smoking, exposure to secondhand smoke, smoking in public places, workplace smoking prohibition, pro- and counter-tobacco advertisements in mainland China.Methods: Choropleth maps and multilevel models were used to assess geographical variation and correlates of the aforementioned outcome variables for 98 058 participants across 31 provinces of China in 2010.Results: Current tobacco smoking prevalence was higher in the central provinces for men and in the north eastern provinces and Tibet for women. Secondhand smoke was higher for both genders in Qinghai and Hunan provinces. Workplace tobacco restrictions was higher in the north and east, whereas smoking in public places was more common in the west, central, and far northeast. Protobacco advertising was observed in public places more often by men (18.5%) than women (13.1%). Men (35.5%) were also more likely to sight counter-tobacco advertising in public places than women (30.1%). Awareness of workplace tobacco restrictions was more common in affluent urban areas. Lower awareness of workplace tobacco restrictions was in less affluent urban and rural areas. Sightings of tobacco smoking in public places was highest in restaurants (80.4% for men, 75.0% for women) and also commonly reported in less affluent urban and rural areas. Exposure to secondhand smoke was lower among women (but not men) where workplace tobacco restrictions was more common and higher regardless of gender in areas where smoking in public places was more commonly observed.Conclusions: Geographical and gender-sensitive targeting of tobacco prevention and control initiatives are warranted.Implications: This study demonstrates spatial patterning of China's 300 million smokers across the country that are different for men and women. Many of the factors that influence tobacco use, such as pro- and counter-advertising, also vary geographically. Workplace smoking restrictions are more commonly reported among individuals with higher educational attainment, but this not does appear to translate into reduced exposure to secondhand smoke. There is a need to intervene in other contexts, especially in restaurants and on public transport. Geographically targeted and gender-sensitive policy is required to advance effective tobacco control and prevention of noncommunicable diseases across all of China. [ABSTRACT FROM AUTHOR]

Food purchasing decisions are made within the context of the range of options available, yet most epidemiological studies focus upon single outlet types. Ratios of fast food outlets to supermarkets and green grocers were linked to addresses of 15,229 adults in the 45 and Up Study at baseline (2006-2008) and follow-up (2009-2010). Compared to having no fast food outlet but having healthy food outlets within 3.2km from home, multilevel growth curves revealed that relative exposure>25% fast food outlets were associated with 0.36-1.19kg/m2 higher BMI (p<0.05). These associations were consistent as people aged. No associations were observed for food outlets<0.8km. [ABSTRACT FROM AUTHOR]

Urban tree canopy is associated with lower dementia risk, but no mediation analysis has been attempted to reveal potential mechanisms. We examined 3,639 dementia diagnoses in 109,688 participants of the Sax Institute's 45 and Up Study. Adjusted models indicated ≥20% tree canopy lowered the odds of developing dementia by 14% over 11 years (Odds Ratio = 0.86, 95%CI = 0.79–0.93). Association between tree canopy and dementia was partially mediated by physical activity (4.5%) and absences of psychological distress (5.7%), social support (2.9%), sleep duration (2.3%) and diabetes (1.8%). Social loneliness and absence of heart disease or hypertension did not mediate the tree canopy-dementia association. • First causal mediation study on nearby tree canopy and dementia. • Mediation was observed via capacity building and restoring pathways. • Physical activity mediated 4.5% of the association. • Absence of psychological distress mediated 5.7% of the association. • Social support, sleep, and diabetes mediated 1.8%–2.9%. [ABSTRACT FROM AUTHOR]

Introduction: There are few studies on the potential benefits of green space quantity and quality for child well-being. The authors hypothesized that more and better quality residential green space would be favorable for well-being and that these associations could be subject to effect modification across childhood.Method: Multilevel linear regression adjusted for demographic and socioeconomic confounders was used to track change in well-being (Strengths and Difficulties Questionnaire Total Difficulties Score and "internalizing" and "externalizing" subscales) across five separate occasions among a cohort of 4,968 Australian children aged 4-5 years beginning in 2004. Well-being was assessed with respect to objectively measured green space quantity and parent-reported green space quality, with interaction terms fitted with age to assess for potential effect modification. Data were analyzed in 2015.Results: Non-linear dose-response associations were observed for favorable well-being in relation to larger quantities of green space and also green space judged to be higher in quality. Favorable perceptions of green space quality were associated with larger quantities of green space regardless of neighborhood socioeconomic circumstances. Benefits for well-being appeared to top out at 21%-40% green space coverage and were reasonably consistent across childhood. Inequality in well-being (especially the internalizing subscale) emerged as children aged in relation to green space quality.Conclusions: Approximately 21%-40% of residential land-use allocated to green space may be an optimal amount for promoting child well-being, but the quality of this green space increases in importance as children age. [ABSTRACT FROM AUTHOR]

Several recent studies have suggested that people in socioeconomically disadvantaged circumstances may benefit more from local green space ('equigenesis'). This study provides a test of this hypothesis in children aged 0-13 years old. Results from multilevel models suggest the odds of sub-optimal general health were 14% lower among children in areas containing >21.5% green space compared to those with <10%. Higher parent-reported quality green space was associated with 18% lower odds of sub-optimal child health. However, no effect modification of the association between child health and area disadvantage across strata of green space quantity or quality was observed. [ABSTRACT FROM AUTHOR]

Does a rise in crime result in increased sitting time and a reduction in physical activity? We used unobserved ("fixed")-effects models to examine associations between change in objectively measured crime (nondomestic violence, malicious damage, breaking and entering, and stealing, theft, and robbery) in Australia and measures of sitting time, walking, and moderate-to-vigorous physical activity (MVPA) in a residentially stable sample of 17,474 men and 19,688 women at baseline (2006-2008) and follow-up (2009-2010). Possible sources of time- varying confounding included age, income, economic status, relationship (couple) status, and physical functioning. In adjusted models, an increase in all crimes of 10 counts per 1,000 residents was associated with an increase in sitting time (hours/day) among men (β = 0.21, 95% confidence interval (CI): 0.17, 0.25) and women (β = 0.18, 95% CI: 0.15, 0.22). Counterintuitively, the same increase in crime was also associated with an increase in the weekly number of ≥10-minute walking sessions (men: rate ratio (RR) = 1.01 (95% CI: 1.01, 1.02); women: RR = 1.00 (95% CI: 0.99, 1.01)) and MVPA sessions (men: RR = 1.02 (95% CI: 1.02, 1.03); women: RR = 1.01 (95% CI: 1.00, 1.02)). Similar associations were found for the other area-level crime indicators. While area-level crime prevention may be considered a lever for promoting more active lifestyles, these results suggest that the association is not unequivocal. [ABSTRACT FROM AUTHOR]

Background: Research on the impact of social interactions on psychological distress tends to be limited to particular forms of support, cross-sectional designs and by the spectre of omitted variables bias.Method: A baseline sample with 3.4±0.95 years follow-up time was extracted from the 45 and Up Study. Change in the risk of psychological distress (Kessler Psychological Distress Scale) was assessed using fixed effects logistic regressions in relation to the number of times in the past week a participant: i) spent time with friends or family they did not live with; ii) talked to friends, relatives or others on the telephone; iii) attended meetings at social clubs or religious groups; and the count of people outside their home, but within one hour travel-time, participants felt close to. Separate models were fitted for men and women, adjusting for age, income, economic and couple status.Results: An increase in the number of social interactions was associated with a reduction in the risk of psychological distress, with some gender differences. Interactions with friends or family were important for women (adjusted OR 0.85, 95%CI 0.74, 0.98, p=0.024), whereas telephone calls were effective among men (adjusted OR 0.83, 95%CI 0.72, 0.96, p=0.011). Strong effects for the number of people that can be relied on were observed for men and women, but attendance at clubs and groups was not. No age-specific effects were observed.Limitations: No indicator of positive mental health.Conclusions: Policies targeting greater social interactions in middle-to-older age may help protect mental health. [ABSTRACT FROM AUTHOR]

Reductions in body mass index and reduced overweight/obesity risk among participants in the 45 and Up Study diagnosed with type 2 diabetes mellitus (T2DM) were relatively large in rural areas compared to those in urban environs. Further research is needed to explain why where people reside influences optimal management of T2DM. [ABSTRACT FROM AUTHOR]

Identifying ‘neighbourhood effects’ to support widespread beliefs that where we live matters for our health remains a major challenge due to the reliance upon observational data. In this study we reassess the issue of local crime rates and psychological distress by applying unobserved (‘fixed’) effects models to a sample of participants who remain in the same neighbourhoods throughout the study. Baseline data was extracted from the 45 and Up Study between 2006 and 2008 and followed up as part of the Social Economic and Environmental Factors (SEEF) Study between 2009 and 2010. Kessler 10 scores were recorded for 25,545 men and 29,299 women reported valid outcomes. Annual crime rates per 1000 (including non-domestic violence, malicious damage, break and enter, and stealing, theft and robbery) from 2006 to 2010 inclusive were linked to the person-level data. Change in exposure to crime among participants in this study, therefore, occurs as a result of a change in the local crime rate, rather than a process of neighbourhood selection. Gender stratified unobserved effects logistic regression adjusting for sources of time-varying confounding (age, income, employment, couple status and physical functioning) indicated that an increase in the risk of experiencing psychological distress was generally associated with an increase in the level of neighbourhood crime. Effect sizes were particularly high for women, especially for an increase in malicious damage (Odds Ratio Tertile 3 vs Tertile 1 2.40, 95% Confidence Interval 1.88, 3.05), which may indicate that damage to local built environment is an important pathway linking neighbourhood crime with psychological distress. No statistically significant association was detected for an increase in non-domestic violence, although the effect was in the hypothesised direction. In summary, the application of unobserved effects models to analyse data that takes into account the temporally dynamic characteristics of where people live warrants further investigation. [ABSTRACT FROM AUTHOR]

Background: Despite previous studies reporting spatial in equality in diabetes prevalence across China, potential geographic variations in diabetes mortality have not been explored. Methods: Age and gender stratified annual diabetes mortality counts for 161 counties were extracted from the China Mortality Surveillance System and interrogated using multilevel negative binomial regression. Random slopes were used to investigate spatiotemporal variation and the proportion of variance explained was used to assess the relative importance of geographical region, urbanization, mean temperature, local diabetes prevalence, behavioral risk factors and relevant biomarkers. Results: Diabetes mortality tended to reduce between 2006 and 2012, though there appeared to be an increase in diabetes mortality in urban (age standardized rate (ASR) 2006-2012: 10.5-13.6) and rural (ASR 10.8-13.0) areas in the Southwest region. A Median Rate Ratio of 1.47, slope variance of 0.006 (SE 0.001) and covariance of 0.268 (SE 0.007) indicated spatiotemporal variation. Fully adjusted models accounted for 37 % of this geographical variation, with diabetes mortality higher in the Northwest (RR 2.55, 95 % CI 1.74, 3.73) and Northeast (RR 2.68, 95 % CI 1.70, 4.21) compared with the South. Diabetes mortality was higher in urbanized areas (RR tertile 3 versus tertile 1 ('RRt3vs1') 1.39, 95 % CI 1.17, 1.66), with higher mean body mass index (RRt3vs1 1.46, 95 % CI 1.18, 1.80) and with higher average temperatures (RR 1.05 95 % CI 1.03, 1.08). Diabetes mortality was lower where consumption of alcohol was excessive (RRt3vs1 0.84, 95 % CI 0.72, 0.99). No association was observed with smoking, overconsumption of red meat, high mean sedentary time, systolic blood pressure, cholesterol, and diabetes prevalence. Conclusions: Declines in diabetes mortality between 2006 and 2012 have been unequally distributed across China, which may imply differentials in diagnosis, management, and the provision of services that warrant further investigation. [ABSTRACT FROM AUTHOR]

Background: Despite previous studies reporting spatial in equality in diabetes prevalence across China, potential geographic variations in diabetes mortality have not been explored. Methods: Age and gender stratified annual diabetes mortality counts for 161 counties were extracted from the China Mortality Surveillance System and interrogated using multilevel negative binomial regression. Random slopes were used to investigate spatiotemporal variation and the proportion of variance explained was used to assess the relative importance of geographical region, urbanization, mean temperature, local diabetes prevalence, behavioral risk factors and relevant biomarkers. Results: Diabetes mortality tended to reduce between 2006 and 2012, though there appeared to be an increase in diabetes mortality in urban (age standardized rate (ASR) 2006–2012: 10.5–13.6) and rural (ASR 10.8–13.0) areas in the Southwest region. A Median Rate Ratio of 1.47, slope variance of 0.006 (SE 0.001) and covariance of 0.268 (SE 0.007) indicated spatiotemporal variation. Fully adjusted models accounted for 37 % of this geographical variation, with diabetes mortality higher in the Northwest (RR 2.55, 95 % CI 1.74, 3.73) and Northeast (RR 2.68, 95 % CI 1.70, 4.21) compared with the South. Diabetes mortality was higher in urbanized areas (RR tertile 3 versus tertile 1 (‘RRt3vs1’) 1.39, 95 % CI 1.17, 1.66), with higher mean body mass index (RRt3vs1 1.46, 95 % CI 1.18, 1.80) and with higher average temperatures (RR 1.05 95 % CI 1.03, 1.08). Diabetes mortality was lower where consumption of alcohol was excessive (RRt3vs1 0.84, 95 % CI 0.72, 0.99). No association was observed with smoking, overconsumption of red meat, high mean sedentary time, systolic blood pressure, cholesterol, and diabetes prevalence. Conclusions: Declines in diabetes mortality between 2006 and 2012 have been unequally distributed across China, which may imply differentials in diagnosis, management, and the provision of services that warrant further investigation. [ABSTRACT FROM AUTHOR]

Equivocal findings on crime as a deterrent for physical activity may be due to effects of geographic scale on exposure measurement. To investigate this hypothesis, physical activity was measured in 203,883 Australians and linked to standardised crime counts within small (‘Census Collection Districts’; approx. 330 residents) and larger areas (‘Statistical Local Areas’; approx. 32,000 residents). A median rate ratio of 2.26 indicated substantive geographic variation in moderate-to-vigorous physical activity (MVPA). Adjusting for confounders, multilevel negative binomial regression reported lower MVPA with more crime consistently in small, but not in larger areas. Reducing small pockets of local crime may encourage more physically active lifestyles. [ABSTRACT FROM AUTHOR]

OBJECTIVE To investigate the geographic variation in diabetes prevalence and detection in China. RESEARCH DESIGN AND METHODS Self-report and biomedical data were collected from98,058 adults aged ≥18 years (90.5% response) from 162 areas spanning mainland China. Diabetes status was assessed using American Diabetes Association criteria. Among those with diabetes, detection was defined by prior diagnosis. Choropleth maps were used to visually assess geographical variation in each outcome at the provincial level. The odds of each outcome were assessed using multilevel logistic regression, with adjustment for person- and area-level characteristics. RESULTS Geographic visualization at the provincial level indicated widespread variation in diabetes prevalence and detection across China. Regional prevalence adjusted for age, sex, and urban/rural socioeconomic circumstances (SECs) ranged from 8.3% (95% CI 7.2%, 9.7%) in the northeast to 12.7% (11.1%, 14.6%) in the north. A clear negative gradient in diabetes prevalence was observed from13.1%(12.0%, 14.4%) in the urban high-SEC to 8.7% (7.8%, 9.6%) in rural low-SEC counties/districts. Adjusting for health literacy and other person-level characteristics only partially attenuated these geographic variations. Only one-third of participants living with diabetes had been previously diagnosed, but this also varied substantively by geography. Regional detection adjusted for age, sex, and urban/rural SEC, for example, spanned from 40.4% (34.9%, 46.3%) in the north to 15.6% (11.7%, 20.5%) in the southwest. Compared with detection of 40.8% (37.3%, 44.4%) in urban high-SEC counties, detection was poorest among rural low-SEC counties at just 20.5% (17.7%, 23.7%). Person-level characteristics did not fully account for these geographic variations in diabetes detection. CONCLUSIONS Strategies for addressing diabetes risk and improving detection require geographical targeting. [ABSTRACT FROM AUTHOR]

This study assessed the associations between changes in exposure to green space quality, heavy traffic conditions, and asthma symptoms among children. 10-year cohort data of 9589 children, retrieved from the Longitudinal Study of Australian Children, were analysed. Caregiver-reported neighbourhood green space quality, heavy traffic conditions, and asthma symptoms were measured biennially. Group-based trajectory mixture models were used to develop trajectory groups, denoting different patterns of, or changes in, exposure to green space quality, heavy traffic conditions, and asthma symptoms across childhood. Multilevel multinomial logistic regression was used to identify factors associated with trajectory group membership and examine the confounders-adjusted associations between trajectory groups of green space quality, heavy traffic conditions, and asthma symptoms. Four trajectory groups for each green space quality and heavy traffic conditions, and five trajectory groups for asthma symptoms were developed. Children in less disadvantaged areas were more likely to be in trajectory groups with exposure to quality green space, but less likely to be exposed to heavy neighbourhood traffic. Living in more remote areas was associated with the decreased likelihood to be in groups with exposure to both quality green space and heavy traffic conditions over time. Accumulation of exposure to quality green space across childhood was not found to be protective against asthma symptoms. However, children whose caregiver perceptions of heavy traffic conditions trended from low to moderate levels; or were consistently in high levels across childhood had a higher likelihood to be in trajectory groups with a higher risk of asthma symptoms. Exposure to quality green space was not associated with the reduced risk of asthma symptoms. The accumulation of exposure to heavy traffic conditions increased the likelihood of asthma symptoms among children. Reducing the presence of heavy traffic in neighbourhoods might reduce the risk of childhood asthma. [ABSTRACT FROM AUTHOR]

Objective This study investigated variation in unhealthy lifestyles within Australia according to where people were born. Method Multilevel linear regression models were used to explore variation in co-occurring unhealthy lifestyles (from 0 to 8) constructed from responses to tobacco smoking, alcohol consumption, moderate-to-vigorous physical activity and a range of dietary indicators for 217,498 adults born in 22 different countries now living in Australia. Models were adjusted for socio-economic variables. Data was from the 45 and Up Study (2006-2009). Further analyses involved multilevel logistic regression to examine country-of-birth patterning of each individual unhealthy lifestyle. Results Small differences in the co-occurrence of unhealthy lifestyles were observed by country of birth, ranging from 3.1 (Philippines) to 3.8 (Russia). More substantial variation was observed for each individual unhealthy lifestyle. Smoking and alcohol ranged from 7.3% and 4.2% (both China) to 28.5% (Lebanon) and 30.8% (Ireland) respectively. Non-adherence to physical activity guidelines was joint-highest among participants born in Japan and China (both 74.5%), but lowest among those born in Scandinavian countries (52.5%). Substantial variation in meeting national dietary guidelines was also evident between participants born in different countries. [ABSTRACT FROM AUTHOR]

Background Epidemiological studies on green space and health have relied almost exclusively on cross-sectional designs, restricting understanding on how this relationship could vary across the lifecourse. Methods We used multilevel linear regression to analyse variation in minor psychiatric morbidity over nine annual waves of the British Household Panel Survey (1996-2004). The sample was restricted to residents of urban areas who remained within their neighbourhoods for at least 12 months. The 12-item General Health Questionnaire and confounders were reported for 29 626 male and 35 781 female observations ( person-years). This individual-level dataset was linked to a measure of green space availability within each ward of residence. Regression models included age, gender, employment status, household tenure, marital status, education, smoking status and household income. Results When not considering age, green space was associated with better mental health among men, but not women. Interaction terms fitted between age and green space revealed variation in the association between green space and mental health across the lifecourse and by gender. For men, the benefit of more green space emerged in early to mid-adulthood. Among older women, a curvilinear association materialised wherein those with a moderate availability of green space had better mental health. Conclusions These findings illustrate how the relationship between urban green space and health can vary across the lifecourse, and they highlight the need for longitudinal studies to answer why green space may be better for health at some points in the lifecourse than others. [ABSTRACT FROM AUTHOR]

Background If green spaces encourage people to spend more time outdoors in physical, recreational and social activities, this could have unintended but important consequences for health in countries where levels of ultraviolet (UV) radiation are non-trivial. We investigated whether people who lived in neighbourhoods containing lots of green space were likely to spend more time outdoors and, subsequently, were more likely to report a case of skin cancer. Methods Multilevel logit regression was used to fit associations between self-reported medically diagnosed skin cancer (melanoma and non-melanoma) and an objective measure of green space. These models were adjusted for measures of susceptibility (skin colour and tanning), socioeconomic variables, demographic and cultural characteristics (eg, ancestry and country of birth). Mediation analyses were conducted using self-reported measures of time spent outdoors and participation in moderate-to-vigorous physical activity (MVPA). Results Descriptive analyses reported a positive association between green space and skin cancer (p<0.001). Time outdoors and in MVPA was also higher among people living in greener areas. The association between green space and skin cancer was robust after adjustment. In comparison to people with 0-20% green space, for example, the adjusted odds of having skin cancer were 9% higher among those with >80% green space. Only 1.6% and less than 1% of the association was mediated by MVPA and time spent outdoors. Conclusions Neighbourhood green space is associated with higher odds of having skin cancer in Australia. The relationship between green space and health, in its broadest terms, is likely to vary by geographical context. [ABSTRACT FROM AUTHOR]

Background Green space is widely hypothesised to promote physical activity. Few studies, however, examine whether this is the case for walking and moderate-to-vigorous physical activity (MVPA). We investigated to what extent neighbourhood green space was associated with weekly participation and frequency of walking and MVPA in a large cross-sectional survey of Australian adults 45 years and older. Methods Logit and negative binomial regression were used to estimate the degree of association between walking, MVPA and neighbourhood green space in a sample of 203 883 adults from the Australian 45 and Up Study. Walking and MVPA were measured using the Active Australia Survey. Green space was measured as a percentage of the total land-use within 1 km radius of residence. We controlled for a range of individual and neighbourhood characteristics. Results 86.6% of the sample walked and 85.8% participated in MVPA at least once a week. These rates fell steeply with age. Compared with residents of neighbourhoods containing 0-20% green space, those in greener areas were significantly more likely to walk and participate in MVPAs at least once a week (trend for both p<0.001). Among those participating at least once a week, residents of neighbourhoods containing 80%+ green space participated with a greater frequency of walking (incidence rate ratio (IRR) 1.09, 95% CI 1.05 to 1.13) and MVPA (IRR 1.10, 95% CI 1.05 to 1.15). Conclusions Our findings suggest that the amount of green space available to adults in middle-to-older age within their neighbourhood environments could help to promote walking and MVPA. [ABSTRACT FROM AUTHOR]

Background: An inequitable distribution of parks and other ‘green spaces’ could exacerbate health inequalities if people on lower incomes, who are already at greater risk of preventable diseases, have poorer access. Methods: The availability of green space within 1 kilometre of a Statistical Area 1 (SA1) was linked to data from the 2011 Australian census for Sydney (n = 4.6 M residents); Melbourne (n = 4.2 M); Brisbane (n = 2.2 M); Perth (n = 1.8 M); and Adelaide (n = 1.3 M). Socioeconomic circumstances were measured via the percentage population of each SA1 living on < $21,000 per annum. Negative binomial and logit regression models were used to investigate association between the availability of green space in relation to neighbourhood socioeconomic circumstances, adjusting for city and population density. Results: Green space availability was substantively lower in SA1s with a higher percentage of low income residents (e.g. an incidence rate ratio of 0.82 (95% confidence interval (95% CI) 0.75, 0.89) was observed for SA1s containing ≥20% versus 0-1% low income residents). This association varied between cities (p < 0.001). Adelaide reported the least equitable distribution of green space, with approximately 20% greenery in the most affluent areas versus 12% availability in the least affluent. Although Melbourne had a smaller proportion of SA1s in the top quintile of green space availability (13.8%), the distribution of greenery was the most equitable of all the cities, with only a 0.5% difference in the availability of green space between SA1s containing 0-1% low income households versus those with ≥20%. Inequity of access, however, was reported across all cities when using logit regression to examine the availability of at least 20% (odds ratio 0.74, 95% CI 0.59, 0.93) or 40% (0.45, 0.29, 0.69) green space availability in the more disadvantaged versus affluent neighbourhoods. Conclusion: Affirmative action on green space planning is required to redress the socioeconomic inequity of access to this important public health resource. [ABSTRACT FROM AUTHOR]

OBJECTIVE Lifestyle interventions for type 2 diabetesmellitus (T2DM) are best positioned for success if participants live in supportive neighborhood environments. Deprived neighborhoods increase T2DM risk. Parks and other "green spaces" promote active lifestyles and therefore may reduce T2DM risk. We investigated association between neighborhood green space and the risk of T2DMin a large group of adult Australians. RESEARCH DESIGN AND METHODS Multilevel logit regression was used to t associations between medically diagnosed T2DM and green space exposure among 267,072 participants in the 45 and Up Study. Green space data were obtained from the Australian Bureau of Statistics, and exposure was calculated using a 1-km buffer from a participant's place of residence. Odds ratios (ORs) were controlled for measures of demographic, cultural, health, diet, active lifestyles, socioeconomic status, and neighborhood circumstances. RESULTS The rate of T2DM was 9.1% among participants in neighborhoods with 0-20% green space, but this rate dropped to approximately 8% for participants with over 40% green space within their residential neighborhoods. The risk of T2DM was significantly lower in greener neighborhoods, controlling for demographic and ? cultural factors, especially among participants residing in neighborhoods with 41-60% green space land use (OR 0.87; 95% CI 0.83-0.92). This association was consistent after controlling for other explanatory variables and did not vary according to neighborhood circumstances. CONCLUSIONS People in greener surroundings have a lower risk of T2DM. Planning, promoting, and maintaining local green spaces is important in multisector initiatives for addressing the T2DM epidemic. [ABSTRACT FROM AUTHOR]

Adolescents, especially females, tend to experience poorer mental health if they are higher in introversion and neuroticism. As a result, they also may have more to gain from having quality green space (e.g. parks) nearby to enable restoration, but this remains tested. Cross-sectional data on 2946 adolescents aged 16-17y were extracted from the Longitudinal Study of Australian Children. Multilevel linear regressions assessed association between parent/caregiver green space quality perception with self-reported Strengths and Difficulties Questionnaire Total Difficulties Scores (TDS) and internalising (e.g. anxiety) and externalising (e.g. fidgetiness) subscales. Models were weighted for representativeness, accounted for spatial clustering within postcodes, and adjusted for geographic stratum and socioeconomic confounders. This was followed by adjustment for introversion and neuroticism, and then three-way interaction terms between each trait, green space quality and sex to assess for potential effect modification. Quality green spaces was associated with higher TDS (β = 1.506; SE = 0.371), internalising (β = 0.982; SE = 0.220) and externalising (β = 0.518; SE = 0.234) scores (i.e. poorer mental health). Introversion was associated with higher TDS (β = 1.416; SE = 0.089), higher internalising (β = 1.233; SE = 0.050) and higher externalising scores (β = 0.181; SE = 0.056). Similar associations were observed for neuroticism and TDS (β = 2.283; SE = 0.084), internalising (β = 1.627; SE = 0.046) and externalising scores (β = 0.656; SE = 0.056). Mean levels of introversion were similar for girls and boys (1.73 vs 1.76, p = 0.6573), but mean levels of neuroticism were notably higher in girls than boys (2.42 and 1.67, p < 0.0001). Likelihood ratio tests indicated three-way interactions improved models analysing the internalising subscale outcome only. Green space quality made no difference to associations between introversion or neuroticism and internalising scores in males. Quality green space was associated with 3.2 and 2.1 reductions in mean internalising scores among females with the highest levels of introversion or neuroticism, respectively. Individual differences in psychological traits may predispose some adolescents, and females especially, to restoration from green space. • Good quality green space was associated with better adolescent mental health. • Neuroticism and introversion associated with poorer mental health. • Good quality green space reduced introversion-mental health association in females. • Good quality green space reduced neuroticism-mental health association in females. • Similar effect modification was not observed in males. [ABSTRACT FROM AUTHOR]

Abstract: Objective: While many studies report that green spaces promote mental health, some suggest the psychological benefits of physical activity are amplified if participation occurs within greener environs. We investigated whether this relationship could be observed among adults in middle-to-older age. Method: Multilevel logit regression was used to investigate association between green space and psychological distress (Kessler scores of 22+) among 260,061 Australians over 45years old living in New South Wales (2006–2009). Physical activity was measured using the Active Australia survey. Percentage green space was estimated within a 1-kilometre of residence. Results: In comparison to residents of the least green areas, those in the greenest neighbourhoods were at a lower risk of psychological distress (Odds Ratio 0.83, 95% CI: 0.76, 0.92) and were less sedentary (0.81: 0.77, 0.87). An interaction was observed between physical activity and green space (p =0.0028). More green space did not appear to benefit mental health among the least active (0.99: 0.85, 1.15), but there was a protective association for the more physically active (0.82: 0.67, 0.99). Conclusion: For adults in middle-to-older age, green spaces are not only important for promoting physical activity, but the mental health benefits of greener environs appear contingent upon those active lifestyles. [Copyright &y& Elsevier]

We investigated whether ethnic and country of birth differences in adult Body Mass Index (BMI) were associated with differences in diet, physical activity and ethnic density (the percentage of an ethnic group within the neighbourhood environment). A sample of 214,807 adults living in Australia was extracted from the 45 and Up Study. Analyses comprised multilevel modelling of BMI for 38 ethnic and country of birth groups. Physical activity was ascertained using the Active Australia Survey. Dietary measures included self-reported consumption of fruit, vegetables, meat and cheese. Ethnic density was objectively measured using 2006 Australian Census data. Possible confounders included age, gender, household income, educational qualifications, economic status, couple status, language, duration of residence, neighbourhood affluence and remoteness. Compared to Australian-born Australians (age-gender adjusted mean BMI = 27.1, 95%CI 27.1, 27.2), overseas-born groups often had lower mean BMI, especially the Chinese born in China (23.2, 23.0, 23.4). Exceptions included the Italians (BMI = 28.1), Greeks (28.5), Maltese (27.6), Lebanese (28.4) and Croatians (27.8) born in their ethnic-country of origin. Regardless of birthplace, BMI was lower for the English, Scottish, and Chinese, but higher for Italians and Greeks. Some ethnic differences reflected the ‘healthy migrant’ hypothesis, whereas others did not. These differences were only partially attenuated by controls for portions of fruit and vegetables, meat and cheese, frequency of participation in physical activity, and other explanatory variables. Ethnic density was associated with lower BMI for the English and Irish ( p < 0.05), regardless of whether they were born in the UK, Ireland, or Australia. Ethnic differences in adult weight status in Australia do not appear to be fully explained by conventional risk factors. For some groups, but not all, living among others of the same ethnic group may proxy unmeasured health-promoting factors and these contexts, along with other factors that harm health (e.g. racial discrimination) warrant further investigation. [ABSTRACT FROM AUTHOR]

Abstract: Recent studies suggest that stress can amplify the harm of air pollution. We examined whether experience of racism and exposure to particulate matter with an aerodynamic diameter of less than 2.5µm and 10µm (PM2.5 and PM10) had a synergistic influence on ethnic differences in asthma and lung function across adolescence. Analyses using multilevel models showed lower forced expiratory volume (FEV1), forced vital capacity (FVC) and lower rates of asthma among some ethnic minorities compared to Whites, but higher exposure to PM2.5, PM10 and racism. Racism appeared to amplify the relationship between asthma and air pollution for all ethnic groups, but did not explain ethnic differences in respiratory health. [Copyright &y& Elsevier]

Background: Research on the co-occurrence of unhealthy lifestyles has tended to focus mainly upon the demographic and socioeconomic characteristics of individuals. This study investigated the relevance of neighborhood socioeconomic circumstance for multiple unhealthy lifestyles. Method: An unhealthy lifestyle index was constructed for 206,457 participants in the 45 and Up Study (2006–2009) by summing binary responses on smoking, alcohol, physical activity and five diet-related variables. Higher scores indicated the co-occurrence of unhealthy lifestyles. Association with self-rated health, quality of life; and risk of psychological distress was investigated using multilevel logistic regression. Association between the unhealthy lifestyle index with neighborhood characteristics (local affluence and geographic remoteness) were assessed using multilevel linear regression, adjusting for individual-level characteristics. Results: Nearly 50% of the sample reported 3 or 4 unhealthy lifestyles. Only 1.5% reported zero unhealthy lifestyles and 0.2% had all eight. Compared to people who scored zero, those who scored 8 (the ‘unhealthiest’ group) were 7 times more likely to rate their health as poor (95%CI 3.6, 13.7), 5 times more likely to report poor quality of life (95%CI 2.6, 10.1), and had a 2.6 times greater risk of psychological distress (95%CI 1.8, 3.7). Higher scores among men decreased with age, whereas a parabolic distribution was observed among women. Neighborhood affluence was independently associated with lower scores on the unhealthy lifestyle index. People on high incomes scored higher on the unhealthy lifestyle index if they were in poorer neighborhoods, while those on low incomes had fewer unhealthy lifestyles if living in more affluent areas. Interpretation: Residents of deprived neighborhoods tend to report more unhealthy lifestyles than their peers in affluent areas, regardless of their individual demographic and socioeconomic characteristics. Future research should investigate the trade-offs of population-level versus geographically targeted multiple lifestyle interventions. [ABSTRACT FROM AUTHOR]

Introduction: The economic recession which began in 2008 has resulted in a substantial increase in unemployment across many countries, including the United Kingdom. Strong association between unemployment and poor health status among individuals is widely recognised. We investigated whether the prevalence of poor health at a population level increased concurrent to the rise in unemployment during the economic recession, and whether the impact on health varied by geographical and socioeconomic circumstances. Method: Health, demographic and socioeconomic measures on 1.36 million survey responses aged 16–64 were extracted from the Quarterly Labour Force Survey of the United Kingdom, collected every three months, from January 2006 to December 2010. The likelihood of self-reporting poor health status and specific types of health problems (depression, mental illness, cardiovascular and respiratory) across time were estimated separately using logistic regression. Explanatory variables included economic status (International Labour Organization definition), occupational class, age, gender, country of birth, ethnicity, educational qualifications, couple status, household tenure, number of dependents, and geographical region. Results: Unemployment (age-gender adjusted) rose from 4.5% in January 2008 to 7.1% by September 2009. The reporting of poor health status increased from 25.7% in July 2009 to 29.5% by December 2010. Similar increases were found for cardiovascular and respiratory health problems; not depression or mental illness. The prevalence of poor health status among the unemployed decreased from 28.8% in July 2008, to 24.9% by March 2009; but this was followed by an increase in poor health experienced across all regions and by all socioeconomic groups, including those who remained employed, regardless of their occupational class. Interpretation: Although our study found no exacerbation of pre-recession health inequalities, the rise in poor health status not only for the unemployed, but also among people who remained employed, regardless of their occupational class, justifies concern voiced among many public health commentators. [ABSTRACT FROM AUTHOR]

Abstract: Little is known about why many people diagnosed with hepatitis C virus (HCV) infection fail to reach and stay within specialist care services. We used a Geographic Information System and logit regression to investigate whether travel-time to a specialist centre was associated with an increased likelihood of non-referral, non-attendance and loss to follow-up among persons diagnosed with HCV between 1991 and 2003 in Tayside, Scotland (UK). Information was available on referral to, and utilisation of, the single HCV specialist centre in Tayside between 1991 and 2006. Longer travel-time to a specialist centre was associated with an increased likelihood of non-referral to a specialist centre following diagnosis (Odds Ratio: 1.25, 95% Confidence Interval: 1.09, 1.44). Patients living further from an HCV specialist centre were less likely to be referred to it for treatment that could cure their HCV infection. Neither a history of intravenous drug use (IDU), nor area deprivation predicted non-referral. Subsequent to referral, travel-time to a specialist centre was not associated with either non-attendance (0.83 (0.56, 1.21)) or loss to follow-up (0.98 (0.78, 1.22)), although a history of IDU was a strong predictor of both non-attendance and loss to follow-up. Non-attendance was less likely among older patients, while loss to follow-up was more common among those living in deprived areas. Once referred, patients appear able to cope with stress and financial cost of long and frequent journeys to hospital. However, as rates of referral improve from more geographically remote areas, long travel-times to an HCV specialist centre may become an important factor determining future utilisation. [Copyright &y& Elsevier]

Objective. To investigate the effect of racism, own-group ethnic density, diversity and deprivation on adolescent trajectories in psychological well-being. Design. Multilevel models were used in longitudinal analysis of psychological well-being (total difficulties score (TDS) from Goodman's Strengths and Difficulties Questionnaire, higher scores correspond to greater difficulties) for 4782 adolescents aged 11–16 years in 51 London (UK) schools. Individual level variables included ethnicity, racism, gender, age, migrant generation, socio-economic circumstances, family type and indicators of family interactions (shared activities, perceived parenting). Contextual variables were per cent eligible for free school-meals, neighbourhood deprivation, per cent own-group ethnic density, and ethnic diversity. Results. Ethnic minorities were more likely to report racism than Whites. Ethnic minority boys (except Indian boys) and Indian girls reported better psychological well-being throughout adolescence compared to their White peers. Notably, lowest mean TDS scores were observed for Nigerian/Ghanaian boys, among whom the reporting of racism increased with age. Adjusted for individual characteristics, psychological well-being improved with age across all ethnic groups. Racism was associated with poorer psychological well-being trajectories for all ethnic groups (p<0.001), reducing with age. For example, mean difference in TDS (95% confidence interval) between boys who experienced racism and those who did not at age 12 years=1.88 (+1.75 to+2.01); at 16 years=+1.19 (+1.07 to+1.31). Less racism was generally reported in schools and neighbourhoods with high than low own-group density. Own ethnic density and diversity were not consistently associated with TDS for any ethnic group. Living in more deprived neighbourhoods was associated with poorer psychological well-being for Whites and Black Caribbeans (p<0.05). Conclusion. Racism, but not ethnic density and deprivation in schools or neighbourhoods, was an important influence on psychological well-being. However, exposure to racism did not explain the advantage in psychological well-being of ethnic minority groups over Whites. [ABSTRACT FROM PUBLISHER]

Background: The potential for natural environments to be salutogenic has received growing interest from epidemiologists, but there has been no critical examination of the extent to which associations between green space and health might vary according to the indicator of green space coverage used. Methods: Three different indicators of green space coverage were derived for a set of 268 small areas in four cities within Britain. The indicators had different origins and provided a spectrum of sensitivity from larger spaces only, through to ambient greenery. Two indicators reproducible for anywhere in Europe were included. Agreement between the indicators on the quantity of green space in a small area, and their independent association with measures of mortality and self-reported morbidity, were compared. Results: Overall, the indicators showed relatively close overall agreement (all r2>0.89, p<0.001). However, agreement varied by level of area socioeconomic deprivation (p<0.001). The indicator that detected larger spaces only found less green space in areas of socioeconomic deprivation than the other two. Despite this difference, all indicators showed similar protective associations with the risk of mortality and self-reported morbidity suggesting that larger green spaces may be more important for health effects than smaller spaces. Conclusions: Associations between green space indicator and health were not sensitive to indicator origin and type. This raises the possibility of trans-European epidemiological studies. Larger green spaces may be the most important for health effects, but may also be less prevalent in more deprived areas. [ABSTRACT FROM AUTHOR]

Abstract: Recent work in France has suggested that poor geographic access to primary healthcare may have a negative influence upon detection rates of the hepatitis C virus. Topography and poor infrastructure can exacerbate geographic remoteness, while the stigma surrounding hepatitis C and intravenous drug use may also discourage healthcare-seeking behaviour in rural communities with limited choice of general practitioner. No similar study has been conducted in the UK, where detection rates of hepatitis C are also low. Moreover, the previous French findings did not adjust for the uneven spatial distribution of HCV prevalence and associated risk factors, which raises the possibility that the reported travel-time associations were a reflection of greater hepatitis C prevalence in urban areas (where the travel-times to primary healthcare are short) and not an effect of geographic access to primary healthcare. Using geographic information systems, Poisson regression and a dataset from Tayside (Scotland), we explored whether lower rates of hepatitis C detection were associated with higher travel-times to primary healthcare. We tested whether any travel-time effects remained once the models were adjusted for deprivation, by controlling for the spatial variation of some of the known risk factors of hepatitis C infection. Separate models were calculated according to patient history of opiate substitution therapy to take account of people likely to have been infected through intravenous drug use. Rates of detected hepatitis C were highest among males aged between 25 and 39 years. A statistically significant travel-time-decay effect was observed, though with notable attenuation for all patients after adjusting for deprivation. Further modelling identified a travel-time effect only for those who had received opiate substitution therapy. The absence of a similar effect in the non-opiate substitution therapy group indicates that selection effects, not causation, are the most likely explanation for the initial travel-time-decay effects. Thus, future studies of hepatitis C detection and geographic access to primary healthcare will need to consider ways of controlling for the uneven spatial distribution of HCV prevalence and associated risk factors beyond ecological measures of socioeconomic deprivation. [Copyright &y& Elsevier]

Background: A large multicentre European study reported later onset of menopause among women residing in greener areas. This influence on the timing of a reproductive event like menopause, raises the question whether similar associations can be observed with timing of menarche. We investigated whether exposure to residential green space was related to the age at menarche in German and Australian adolescent girls.Methods: The analytic samples comprised of 1706 German and 1474 Australian adolescent girls. Percentage of green space was calculated in 1000 m buffers around a residential address or its surrogate at the previous follow-up. Mixed effects Cox proportional hazard models were used to explore the associations. The survival object was the occurrence of menarche at the time of follow-up (15-year follow-up of the German cohorts and the study wave at 14-15 years in the Australian cohort) and number of years since baseline (10-year follow-up in the German cohort and the study wave at 10-11 years in the Australian cohort). Participants who did not reach menarche were included as censored observations.Results: A greener residence was not associated with the age at menarche. Null findings were consistent in the general population and in analyses stratified by socioeconomic status or urbanicity in both countries. Urban residents were more likely to have earlier menarche, and this association was consistent across Germany and Australia.Conclusion: The results of our analysis do not support the hypothesis that residing in places with more green space can influence timing of menarche. However, given the limitations of our study, researchers should not be discouraged to further explore environmental risk factors of early menarche. [ABSTRACT FROM AUTHOR]

While the evidence of mental health benefits from investing in green space accumulates, claims of reduced healthcare expenditure are rarely supported by evidence from analyses of actual healthcare data. Additionally, the question of 'who pays?' has been ignored. We addressed these gaps using person-level data in three Australian cities. 55,339 participants with a mean follow-up time of 4.97 years in the Sax Institute's 45 and Up Study (wave 2, collected 2012–2015) were linked to fee-for-service records of antidepressant prescriptions and talking therapy subsidised by the Australian Government (including data on per unit fee, state subsidy, and individual co-payment). Total green space, tree canopy and open grass within 1.6 km road network distances were linked to each participant. Multilevel logistic, negative binomial, and generalised linear models with gamma distribution adjusted for demographic and socioeconomic confounders were used to assess association between each green space variable and prescribing/referral and costs of antidepressants and talking therapy. Prescription of at least one course of antidepressants occurred for 20.01% (n = 11,071). Referral for at least one session of talking therapy occurred in 8.95% (n = 4954). 13,482 participants (24.4%) had either a prescription or a referral. A 10% increase in green space was associated with higher levels of antidepressant prescribing (e.g. incident rate ratio (IRR) = 1.06, 95%CI = 1.04–1.08). Tree canopy was not associated with antidepressant prescribing or referrals for talking therapy. Open grass was associated with higher odds (OR = 1.17, 95%CI = 1.13–1.20) and counts (IRR = 1.05, 95%CI = 1.02–1.08) of antidepressant prescriptions. Open grass was also associated with lower odds (OR = 0.87, 95%CI = 0.82–0.92) and counts (IRR = 0.93, 95%CI = 0.90–0.96) of talking therapy referrals. Open grass was associated with higher total and mean per-person levels of expenditure on antidepressant prescriptions. Although green space supports mental health, these unexpected results provide pause for reflection on whether greening strategies will always result in purported reductions in mental healthcare expenditure. • Open grass was associated with antidepressants prescribing. • Open grass was associated with higher mental healthcare costs. • Tree canopy was not associated with mental healthcare expenditure. [ABSTRACT FROM AUTHOR]

Focuses on the techniques of increasing the throughput of flow injection mass spectrometry. Effect of improving the design of a Gilson 215 multiprobe liquid-handling system on the throughput for flow injection molecular weight characterization of combinatorial chemistry libraries; Total analysis time for a 96-well microtiter plate using the method.

Past research on cannabis has been limited in scope to THC potencies lower than legally available and efforts to integrate the effects into models of driving performance have not been attempted to date. The purpose of this systematic review is to understand the implications for modeling driving performance and describe future research needs. The risk of motor vehicle crashes increases 2-fold after smoking marijuana. Driving during acute cannabis intoxication impairs concentration, reaction time, along with a variety of other necessary driving-related skills. Changes to legislation in North America and abroad have led to an increase in cannabis' popularity. This has given rise to more potent strains, with higher THC concentrations than ever before. There is also rising usage of novel ingestion methods other than smoking, such as oral cannabis products (e.g., brownies, infused drinks, candies), vaping, and topicals. The PRISMA guidelines were followed to perform a systematic search of the PubMed database for peer-reviewed literature. Search terms were combined with keywords for driving performance: driving, performance, impairment. Grey literature was also reviewed, including congressional reports, committee reports, and roadside surveys. There is a large discrepancy between the types of cannabis products sold and what is researched. Almost all studies that used inhalation as the mode of ingestion with cannabis that is around 6% THC. This pales in comparison to the more potent strains being sold today which can exceed 20%. Which is to say nothing of extracts, which can contain 60% or more THC. Experimental protocol is another gap in research that needs to be filled. Methodologies that involve naturalistic (real world) driving environments, smoked rather than vaporized cannabis, and non-lab certified products introduce uncontrollable variables. When considering the available literature and the implications of modeling the impacts of cannabis on driving performance, two critical areas emerge that require additional research: The first is the role of cannabis potency. Second is the route of administration. Does the lower peak THC level result in smaller impacts on performance? How long does potential impairment last along the longer time-course associated with different pharmacokinetic profiles. It is critical for modeling efforts to understand the answers to these questions, accurately model the effects on driver performance, and by extension understand the risk to the public. [ABSTRACT FROM AUTHOR]