Not in employment, education or training (NEET); more than a youth policy issue.

INTRODUCTION: Australians who are Not in Employment, Education or Training (NEET) and receive income support span a wide spectrum of working ages. Australian research has concentrated on NEETs aged 15-29 years, in line with international standards. This paper investigates extending the NEET concept to include all working age persons 15-64 years and the value added to welfare policy through analysis of a new linked dataset. METHODS: An observational study design was implemented with individuals aged 15-64 years recorded as receiving Department of Social Services (DSS) income support payments from September 2011 being linked with Australian Bureau of Statistics (ABS) Census data from August 2011 to create a linked dataset for analysis. Descriptive analyses were undertaken of NEET status by Census socio-demographic characteristics, and we modelled the adjusted likelihood of NEET status by Census demographics. RESULTS: Some 1.37 million or 45.2% of linked DSS payment recipients qualified as NEET. Of NEETs, more than twice as many were female, nearly half were aged 45-64 years, and under 1-in-5 were aged 15-29 years. Multivariate analyses showed that NEETs were more likely to be older, have low educational attainment, have a disability, and to be Indigenous. CONCLUSIONS: Young NEETs aged 15-29 years represented less than 20% of linked DSS payment recipients classified as NEET, suggesting that standard NEETs reporting neglects information on around 80% of the working age NEET population in Australia. Combined with other demographic insights, these results have implications for welfare policy, and indicate a wider range of demographics should be considered under the NEET classification. This may also have implications for Organisation for Economic Co-operation and Development (OECD) reporting.

Indigenous Preferences for Inpatient Rooms in Australian Hospitals: A Mixed-Methods Study in Cross-Cultural Design.

AIM: This mixed-method study aimed to establish preliminary evidence for spatial and design features that can improve the experience and participation of Indigenous inpatients in healthcare. BACKGROUND: Disadvantaged across a range of health measures, a disproportionately high number of Indigenous people leave hospital without receiving appropriate medical care. Australian government policies to improve cultural safety of Indigenous patients have largely ignored physical settings and their potential to improve health outcomes. Despite increasing evidence on the potential of design to reduce patient stress, there is minimal research on cross-cultural design in health facilities, including for Indigenous Australians. METHODS: A cross-sectional, area-based survey elicited design preferences of four healthcare settings from Indigenous participants (n = 602). On the screen-based survey, participants selected from paired images that indicated their preferences for room layout and features of inpatient rooms. Semistructured in-depth interviews (n = 55) explored meanings behind preferences. RESULTS: Participants showed majority preferences for the two-bed patient room, for a balcony rather than a window only, Indigenous art, and view of a park over an urban environment. Analysis of qualitative data shifted the focus from Ulrich's three supportive design components to cultural recognition, the desire for company of family members, and connection to life outdoors. CONCLUSIONS: Social and cultural factors were highly significant to patients for sense of control, family support, and positive distraction. In response, inpatient room size and type, views, access to outdoors and Indigenous art need to be considered in hospital design for Indigenous patients and families.

Aboriginal and Torres Strait Islander preferences for healthcare settings: effective use of design images in survey research.

Objective The aim of this study was to develop an effective digital survey instrument incorporating images to investigate Aboriginal and Torres Strait Islander preferences for health clinics and hospitals, design of healthcare settings and the differences between inner regional and remote locations. Methods Design-related constructs developed from qualitative interviews informed the construction of healthcare setting images. These images were embedded in an online survey instrument to elicit data on design preferences and an area-based recruitment strategy ensured participation by Indigenous Australians from three Queensland locations. Logistic regression analyses were used to estimate the odds of preference for a healthcare setting design by location. Results Statistical analysis of data from 602 participants showed a preference for health care at an Aboriginal and Torres Strait Islander clinic. The odds of preference for an in-patient room with a two- versus single-bed design was greater for participants with less education, and lower for participants with a long-term health problem. Conclusions The multidisciplinary approach to developing an online survey instrument with images and the willingness of Indigenous people of all ages to engage with the images demonstrated the effectiveness of this method in providing robust evidence for the design of culturally appropriate healthcare spaces for Indigenous users. What is known about the topic? Evidence-based research influences the design of healthcare buildings, yet the field currently provides negligible evidence on cross-cultural perceptions or experiences of conventional modern hospitals and clinics. Although recent healthcare buildings show signs of acknowledging Indigenous users, general principles in the Australian Health Facility Guidelines give limited specific information about how cultural requirements may translate into architectural design. What does this paper add? The multidisciplinary approach to research design has enabled the development of healthcare design-related constructs from consultation with Indigenous people, the presentation of these constructs as images and the inclusion of these images for comparison and selection in a digital survey instrument. Combined with a culturally appropriate recruitment strategy, this survey provides evidence from a large sample of the Indigenous population. Selected results from analyses of survey responses show the capacity of the methodological approach to address broader questions about Indigenous preferences for healthcare settings by location, age and sex. What are the implications for practitioners? A focus on individual preferences related to healthcare clinics and the combined significance of design and setting can give practitioners a better understanding of Aboriginal and Torres Strait Islander people's preferences and suggest ways to reduce the incidence of poor engagement with healthcare services.

How are pain and traumatic stress symptoms related in acute whiplash-associated disorders? An investigation of the role of pain-related fear in a daily diary study.

Comorbidity of pain and posttraumatic stress disorder is well recognized, but the reason for this association is unclear. This study investigated the direction of the relationship between pain and traumatic stress and the role that pain-related fear plays, for patients with acute whiplash-associated disorder. Participants (n = 99) used an electronic diary to record hourly ratings of pain, traumatic stress, and fear of pain (FOP) symptoms over a day. Relationships between pain, traumatic stress, and pain-related fear symptoms were investigated through multilevel models including variables lagged by 1 hour. Traumatic stress was associated with previous pain, even after controlling for previous traumatic stress and current pain; current pain was not associated with previous traumatic stress. The relationship between traumatic stress and previous pain became negligible after controlling for FOP, except for traumatic stress symptoms of hyperarousal that were driven directly by pain. Overall, these results support a pain primacy model, and suggest that pain-related fear is important in the maintenance and development of comorbid pain and traumatic stress symptoms. They also confirm that traumatic stress symptoms of hyperarousal are central in this relationship. Differences between this study and others that reported mutual maintenance can be understood in terms of different stages of whiplash-associated disorder and different intervals between repeated measurements. Traumatic stress may affect pain over longer time intervals than measured in this study. Future research could explore how relationships between traumatic stress symptoms, pain, and FOP change over time, and whether previous experiences of traumatic stress influence these relationships.

Including mobile-only telephone users in a statewide preventive health survey-Differences in the prevalence of health risk factors and impact on trends.

The Queensland preventive health survey is conducted annually to monitor the prevalence of behavioural risk factors in the north-east Australian state. Prompted by domestic and international trends in mobile telephone usage, the 2015 survey incorporated both mobile and landline telephone numbers from a list-based sampling frame. Estimates for landline-accessible and mobile-only respondents are compared to assess potential bias in landline-only surveys in the context of public health surveillance. Significant differences were found in subcategories of all health prevalence estimates considered (alcohol consumption, body mass index, smoking, and physical activity) from 2015 survey results. Results from Australian and international studies that have considered mobile telephone non-coverage bias are also summarised and discussed. We find that adjusting for sampling biases of telephone surveys by weighting does not fully compensate for the differences in prevalence estimates. However, predicted trends from previous years' surveys only differ significantly for the 2015 prevalence estimates of alcohol consumption. We conclude that the inclusion of mobile telephones into standard telephones surveys is important for obtaining valid, reliable and representative data to reduce bias in health prevalence estimates. Importantly, unlike some international experiences, the addition of mobiles telephones into the Queensland preventive health survey occurred before population trends were significantly affected.

Profiling the mobile-only population in Australia: insights from the Australian National Health Survey.

BACKGROUND: The Australian population that relies on mobile phones exclusively has increased from 5% in 2005 to 29% in 2014. Failing to include this mobile-only population leads to a potential bias in estimates from landline-based telephone surveys. This paper considers the impacts on selected health prevalence estimates with and without the mobile-only population. METHODS: Using data from the Australian Health Survey - which, for the first time, included a question on telephone status - we examined demographic, geographic and health differences between the landline-accessible and mobile-only population. These groups were also compared to the full population, controlling for the sampling design and differential non-response patterns in the observed sample through weighting and benchmarking. RESULTS: The landline-accessible population differs from the mobile-only population for selected health measures resulting in biased prevalence estimates for smoking, alcohol risk and private health insurance coverage in the full population. The differences remain even after adjusting for age and gender. CONCLUSIONS: Using landline telephones only for conducting population health surveys will have an impact on prevalence rate estimates of health risk factors due to the differing profiles of the mobile-only population from the landline-accessible population.

The Family Life Course and Health: Partnership, Fertility Histories, and Later-Life Physical Health Trajectories in Australia.

Life course perspectives suggest that later-life health reflects long-term social patterns over an individual's life: in particular, the occurrence and timing of key roles and transitions. Such social patterns have been demonstrated empirically for multiple aspects of fertility and partnership histories, including timing of births and marriage, parity, and the presence and timing of a marital disruption. Most previous studies have, however, addressed particular aspects of fertility or partnership histories singly. We build on this research by examining how a holistic classification of family life course trajectories from ages 18 to 50, incorporating both fertility and partnership histories, is linked to later-life physical health for a sample of Australian residents. Our results indicate that long-term family life course trajectories are strongly linked to later-life health for men but only minimally for women. For men, family trajectories characterized by early family formation, no family formation, an early marital disruption, or high fertility are associated with poorer physical health. Among women, only those who experienced both a disrupted marital history and a high level of fertility were found to be in poorer health.

Change in walking for transport: a longitudinal study of the influence of neighbourhood disadvantage and individual-level socioeconomic position in mid-aged adults.

BACKGROUND: Unlike leisure time physical activity, knowledge of the socioeconomic determinants of active transport is limited, research on this topic has produced mixed and inconsistent findings, and it remains unknown if peoples' engagement in active transport declines as they age. This longitudinal study examined relationships between neighbourhood disadvantage, individual-level socioeconomic position and walking for transport (WfT) during mid- and early old-age (40 - 70 years). Three questions were addressed: (i) which socioeconomic groups walk for transport, (ii) does the amount of walking change over time as people age, and (iii) is the change socioeconomically patterned? METHODS: The data come from the HABITAT study of physical activity, a bi-annual multilevel longitudinal survey of 11,036 residents of 200 neighbourhoods in Brisbane, Australia. At each wave (2007, 2009 and 2011) respondents estimated the duration (minutes) of WfT in the previous 7 days. Neighbourhood disadvantage was measured using a census-derived index comprising 17 different socioeconomic components, and individual-level socioeconomic position was measured using education, occupation, and household income. The data were analysed using multilevel mixed-effects logistic and linear regression. RESULTS: The odds of being defined as a 'never walker' were significantly lower for residents of disadvantaged neighbourhoods, but significantly higher for the less educated, blue collar employees, and members of lower income households. WfT declined significantly over time as people aged and the declines were more precipitous for older persons. Average minutes of WfT declined for all neighbourhoods and most socioeconomic groups; however, the declines were steeper for the retired and members of low income households. CONCLUSIONS: Designing age-friendly neighbourhoods might slow or delay age-related declines in WfT and should be a priority. Steeper declines in WfT among residents of low income households may reflect their poorer health status and the impact of adverse socioeconomic exposures over the life course. Each of these declines represents a significant challenge to public health advocates, urban designers, and planners in their attempts to keep people active and healthy in their later years of life.

Effect of health insurance on the utilisation of allied health services by people with chronic disease: a systematic review and meta-analysis.

Allied health services benefit the management of many chronic diseases. The effects of health insurance on the utilisation of allied health services has not yet been established despite health insurance frequently being identified as a factor promoting utilisation of medical and hospital services among people with chronic disease. The objective of this systematic review and meta-analysis was to establish the effects of health insurance on the utilisation of allied health services by people with chronic disease. Medline (Ovid Medline 1948 to Present with Daily Update), EMBASE (1980 to 1 April 2011), CINAHL, PsychINFO and the Cochrane Central Register of Controlled Trials were searched to 12 April 2011 inclusive. Studies were eligible for inclusion if they were published in English, randomised controlled trials, quasi-experimental trials, quantitative observational studies and included people with one or more chronic diseases using allied health services and health insurance. A full-text review was performed independently by two reviewers. Meta-analyses were conducted. One hundred and fifty-eight citations were retrieved and seven articles were included in the meta-analyses. The pooled odds ratio (95% CI) of having insurance (versus no insurance) on the utilisation of allied health services among people with chronic disease was 1.33 (1.16-1.52; P<0.001). There was a significant effect of insurance on the utilisation of non-physiotherapy services, pooled odds ratio (95% CI) 4.80 (1.46-15.79; P=0.01) but having insurance compared with insurance of a lesser coverage was not significantly associated with an increase in physiotherapy utilisation, pooled odds ratio (95% CI) 1.53 (0.81-2.91; P=0.19). The presence of co-morbidity or functional limitation and higher levels of education increased utilisation whereas gender, race, marital status and income had a limited and variable effect, according to the study population. The review was limited by the considerable heterogeneity in the research questions being asked, sample sizes, study methodology (including allied health service), insurance type and dependent variables analysed. The presence of health insurance was generally associated with increased utilisation of allied health services; however, this varied depending on the population, provider type and insurance product.

Effect of a group intervention to promote older adults' adjustment to driving cessation on community mobility: a randomized controlled trial.

OBJECTIVES: The UQDRIVE program, a group education and support program, was developed to meet the needs associated with driving cessation for older adults. The current study investigated the effect of the program on community mobility. DESIGN AND METHODS: A prospective, parallel, stratified randomized controlled trial was undertaken with a waitlist control group receiving current clinical practice (no intervention). Data were collected pre, post, and 3 months following the intervention. Participants were adults aged 60 years or older who had ceased driving or planned to cease driving within 12 months. RESULTS: A total of 131 participants were included in analyses (67 intervention, 64 control). Participating in the intervention was significantly associated with a higher number of episodes away from home per week at immediately postintervention (z = 2.56, p = .01). This was not significantly maintained at 3-month follow-up. Participation in the intervention also significantly predicted higher use of public transport at immediately postintervention (z = 2.12, p = .034), higher use of walking at immediately postintervention (z = 2.69, p = .007), increased aspects of community mobility self-efficacy (z = 3.81, p = .0001), and higher satisfaction with transport at 3-month follow-up (z = 2.07, p = .038). IMPLICATIONS: The program increased community mobility immediately postintervention and transport satisfaction at 3 months postintervention. Due to a high attrition rate, further research is required to clarify the long-term impact of the intervention.

Predicting steep escalations in alcohol use over the teenage years: age-related variations in key social influences.

AIMS: This study examined how family, peer and school factors are related to different trajectories of adolescent alcohol use at key developmental periods. DESIGN: Latent class growth analysis was used to identify trajectories based on five waves of data (from grade 6, age 12 to grade 11, age 17), with predictors at grades 5, 7 and 9 included as covariates. SETTING: Adolescents completed surveys during school hours. PARTICIPANTS: A total of 808 students in Victoria, Australia. MEASUREMENTS: Alcohol use trajectories were based on self-reports of 30-day frequency of alcohol use. Predictors included sibling alcohol use, attachment to parents, parental supervision, parental attitudes favourable to adolescent alcohol use, peer alcohol use and school commitment. FINDINGS: A total of 8.2% showed steep escalation in alcohol use. Relative to non-users, steep escalators were predicted by age-specific effects for low school commitment at grade 7 (P = 0.031) and parental attitudes at grade 5 (P = 0.003), and age-generalized effects for sibling alcohol use (Ps = 0.001, 0.012, 0.033 at grades 5, 7 and 9, respectively) and peer alcohol use (Ps = 0.041, < 0.001, < 0.001 at grades 5, 7 and 9, respectively). Poor parental supervision was associated with steep escalators at grade 9 (P < 0.001) but not the other grades. Attachment to parents was unrelated to alcohol trajectories. CONCLUSIONS: Parental disapproval of alcohol use before transition to high school, low school commitment at transition to high school, and sibling and peer alcohol use during adolescence are associated with a higher risk of steep escalations in alcohol use.

Health for all? Patterns and predictors of allied health service use in Australia.

OBJECTIVE: To examine patterns and predictors of allied health service use among the Australian population. METHODS: Data from the 2007-08 longitudinal National Health Survey conducted by the Australian Bureau of Statistics in Australia were used to examine differences in use of allied health services among the population. The survey is based on 15779 adult respondents. Multivariate logistic regression models were used to model the probability of visiting an allied health service contingent on multiple factors of interest. RESULTS: Men, less educated people and people from non-English speaking backgrounds were low users compared with other groups. Interestingly, people with type 2 diabetes were substantially higher users compared with people with other chronic diseases, or no reported chronic disease, and ancillary health insurance had a strong positive effect on use. DISCUSSION: Further investigation of the social and economic circumstances surrounding allied health service use is required to determine areas of under use or unmet need. High use among people with diabetes might indicate the impact of policy incentives to enhance use. Yet, whether all those in need are able to access services is unknown. Further investigation of use among groups with different health needs and by type of financing will enhance policy. What is known about the topic? Inequities and variations in access to allied health services are commonplace. Effective policy initiatives to improve access, particularly among patients with chronic disease, will depend on improving the knowledge base about patterns of use of allied health services, and what determines use. What does this paper add? This paper reveals the high and low users of allied health services among the Australian population, those population groups who might be missing out and what might explain these patterns. This information will enable policy makers to target areas of potential unmet need. What are the implications for practitioners? Multidisciplinary team care is advocated in the management of chronic disease. Practitioners have a vital role in framing the benefits of allied health services to patients and in developing the evidence base about best practice in the management of chronic disease for diverse patient groups.

Goal setting and self-efficacy among delinquent, at-risk and not at-risk adolescents.

Setting clear achievable goals that enhance self-efficacy and reputational status directs the energies of adolescents into socially conforming or non-conforming activities. This present study investigates the characteristics and relationships between goal setting and self-efficacy among a matched sample of 88 delinquent (18 % female), 97 at-risk (20 % female), and 95 not at-risk adolescents (20 % female). Four hypotheses related to this were tested. Findings revealed that delinquent adolescents reported fewest goals, set fewer challenging goals, had a lower commitment to their goals, and reported lower levels of academic and self-regulatory efficacy than those in the at-risk and not at-risk groups. Discriminant function analysis indicated that adolescents who reported high delinquency goals and low educational and interpersonal goals were likely to belong to the delinquent group, while adolescents who reported high educational and interpersonal goals and low delinquency goals were likely to belong to the not at-risk group. The at-risk and not at-risk groups could not be differentiated. A multinomial logistic regression also revealed that adolescents were more likely to belong to the delinquent group if they reported lower self-regulatory efficacy and lower goal commitment. These findings have important implications for the development of prevention and intervention programs, particularly for those on a trajectory to delinquency. Specifically, programs should focus on assisting adolescents to develop clear self-set achievable goals and support them through the process of attaining them, particularly if the trajectory towards delinquency is to be addressed.

Can the built environment reduce health inequalities? A study of neighbourhood socioeconomic disadvantage and walking for transport.

Residents of socioeconomically disadvantaged neighbourhoods are more likely to walk for transport than their counterparts in advantaged neighbourhoods; however, the reasons for higher rates of transport walking in poorer neighbourhoods remain unclear. We investigated this issue using data from the HABITAT study of physical activity among 11,037 mid-aged residents of 200 neighbourhoods in Brisbane, Australia. Using a five-step mediation analysis and multilevel regression, we found that higher levels of walking for transport in disadvantaged neighbourhoods was associated with living in a built environment more conducive to walking (i.e. greater street connectivity and land use mix) and residents of these neighbourhoods having more limited access to a motor vehicle. The health benefits that accrue to residents of disadvantaged neighbourhoods as a result of their higher levels of walking for transport might help offset the negative effects of less healthy behaviours (e.g. smoking, poor diet), thus serving to contain or reduce neighbourhood inequalities in chronic disease.

Individual and environmental characteristics associated with cognitive development in Down syndrome: a longitudinal study.

BACKGROUND: Associations among cognitive development and intrapersonal and environmental characteristics were investigated for 89 longitudinal study participants with Down syndrome to understand developmental patterns associated with cognitive strengths and weaknesses. MATERIALS AND METHODS: Subtest scores of the Stanford-Binet IV collected between ages 4-30 years were analysed in multilevel models of age-related change. Predictor variables were systematically entered into the models to identify associations with development for each subtest. RESULTS: Temperament, maternal education, medical conditions and school experiences were associated with cognitive differences. Additional associations with rate of development were detected for negative mood, persistence, maternal education level and elementary school experience for several subtests. CONCLUSIONS: Early cognitive advantage and consistent opportunities to learn academic content appear to facilitate cognitive development, although this latter was confounded with ability and maternal education in this study. Data presented endorse research into interventions that enhance verbal and problem solving environments through-out early and middle childhood and target reductions in negative affect in relation to supporting cognitive development for individuals with Down syndrome.

Mid-aged adults' sitting time in three contexts.

BACKGROUND: To develop evidence-based approaches for reducing sedentary behavior, there is a need to identify the specific settings where prolonged sitting occurs, associated factors, and variations. PURPOSE: To examine the sociodemographic and health factors associated with mid-aged adults' sitting time in three contexts and variations between weekdays and weekend days. METHODS: A mail survey was sent to 17,000 adults (aged 40-65 years) in 2007; 11,037 responses were received (68.5%); and 7719 were analyzed in 2010. Respondents indicated time spent sitting on a usual weekday and weekend day for watching TV, general leisure, and home computer use. Multivariate linear mixed models with area-level random intercepts were used to examine (1) associations between sociodemographic and health variables and sitting time, and (2) interaction effects of weekday/weekend day with each of gender, age, education, and employment status, on sitting time. RESULTS: For each context, longer sitting times were reported by those single and living alone, and those whose health restricted activity. For watching TV, longer sitting times were reported by men; smokers; and those with high school or lower education, not in paid employment, in poor health, and with BMI ≥25. For general leisure, longer sitting times were reported by women, smokers, and those not employed full-time. For home computer use, longer sitting times were reported by men; and those aged 40-44 years, with university qualifications; in the mid-income range; and with BMI ≥30. Sitting times tended to be longer on weekend days than weekdays, although the extent of this differed among sociodemographic groups. CONCLUSIONS: Sociodemographic and health factors associated with sitting time differ by context and between weekdays and weekend days.

Time use differences in activity participation among children 4-5 years old with and without the risk of developing conduct problems.

Conduct problems in childhood are associated with the way in which children engage in daily activities. Research, to date, on conduct problems in relation to time use has primarily focused on school aged children and their participation in discrete activities such as watching TV and sport. The purpose of the present study is to determine if children at risk of developing conduct problems have different activity patterns compared to those not at risk. Specifically aspects of time use which concern involvement in activities that provide physical exertion, structure, rest and social engagement were examined. Data for this investigation were drawn from the Longitudinal Study of Australian Children (Wave 1) and focused on 4936 children aged 4-5 years. Findings indicate that children at risk of developing conduct problems spend significantly more time in: physical activities such as "riding a bike", and "in the company of adults only" than children not at risk of developing conduct problems but less time "with peers under adult supervision". Gender differences were also found in the same activities with boys participating in more "bike riding" and activities "without peers under adult supervision" than girls. Young children generally participated in more physical activities and spend more time "with peers while supervised by adults" on weekend days, and more time in "structured activities" and "in the company of adults only" on weekdays. These findings are discussed in respect of the potentially risky nature of physical activity choice and the contribution of adult supervision in the context of peer group participation for children at risk of developing conduct problems.

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.

Cognitive development and Down syndrome: age-related change on the Stanford-Binet test (fourth edition).

Growth models for subtests of the Stanford-Binet Intelligence Scale, 4th edition ( R. L. Thorndike, E. P. Hagen, & J. M. Sattler, 1986a , 1986b ) were developed for individuals with Down syndrome. Models were based on the assessments of 208 individuals who participated in longitudinal and cross-sectional research between 1987 and 2004. Variation in performance among individuals was large and significant across all subtests except Memory for Sentences. Scores on the Memory for Sentences subtest remained low between ages 4 to 30 years. Greatest variation was found on the Pattern Analysis subtest, where scores continued to rise into adulthood. Turning points for scores on the Vocabulary and Comprehension subtests appeared premature relative to normative patterns of development. The authors discuss development at the subdomain level and analyze both individual and group trajectories.

The association between objectively measured neighborhood features and walking in middle-aged adults.

PURPOSE: Explore the role of the neighborhood environment in supporting walking. DESIGN: Cross-sectional study of 10,286 residents of 200 neighborhoods. Participants were selected using a stratified two-stage cluster design. Data were collected by mail survey (68.5% response rate). SETTING: Brisbane City Local Government Area, Australia, 2007. SUBJECTS: Brisbane residents aged 40 to 65 years. MEASURES: Environmental: street connectivity, residential density, hilliness, tree coverage, bikeways, and streetlights within a 1-km circular buffer from each resident's home; and network distance to nearest river or coast, public transport, shop, and park. Walking: minutes walked in the previous week: < 30 minutes, ≥ 30 to < 90 minutes, ≥ 90 to < 150 minutes, ≥ 150 to < 300 minutes, and ≥ 300 minutes. ANALYSIS: The association between each neighborhood characteristic and walking was examined using multilevel multinomial logistic regression, and the model parameters were estimated using Markov chain Monte Carlo simulation. RESULTS: After adjustment for individual factors, the likelihood of walking for more than 300 minutes (relative to < 30 minutes) was highest in areas with the most connectivity (odds ratio [OR] 5 1.93; 99% confidence intervals [CI], 1.32-2.80), greatest residential density (OR 5 1.47; 99% CI, 1.02-2.12), least tree coverage (OR 5 1.69; 99% CI, 1.13-2.51), most bikeways (OR 5 1.60; 99% CI, 1.16-2.21), and most streetlights (OR 5 1.50; 99% CI, 1.07-2.11). The likelihood of walking for more than 300 minutes was also higher among those who lived closest to a river or the coast (OR 5 2.06; 99% CI, 1.41-3.02). CONCLUSION: The likelihood of meeting (and exceeding) physical activity recommendations on the basis of walking was higher in neighborhoods with greater street connectivity and residential density, more streetlights and bikeways, closer proximity to waterways, and less tree coverage. Interventions targeting these neighborhood characteristics may lead to improved environmental quality as well as lower rates of overweight and obesity and associated chromic disease.