The public bicycle-sharing scheme in Brisbane, Australia: Evaluating the influence of its introduction on changes in time spent cycling amongst a middle- and older-age population

Background: Active travel may improve individual health as it contributes to higher levels of physical activity, particularly in an aging society. Bicycle-sharing schemes may contribute to public health by encouraging active travel. Aim: To investigate whether exposure to a bicycle-sharing scheme—measured as residential proximity to a bicycle station—was associated with the propensity to use it. Second, we aimed to study the extent to which exposure to the scheme was associated with a change in time spent cycling. Method: In this natural-experimental study, we analysed a large panel of residents in Brisbane, Australia, who were surveyed before and after the introduction of a bicycle-sharing scheme in 2010. Data were collected as part of the HABITAT study, a multilevel longitudinal investigation of physical activity and health among ‘baby boomers’ (persons aged 40–65). Data were collected in 2009 (n = 7866), 2011 (n = 6900), and 2013 (n = 6520). Two self-reported outcome variables were examined: (1) a stages-of-change variable measuring the likelihood of using the scheme and the intention to use it in the future, and (2) change in time spent cycling between 2009 and 2013. Results: In the unadjusted model, proximity was significantly associated with stages of change, but became non-significant after adjustment. Moreover, higher levels of exposure to the intervention did not predict a change in time spent cycling. Younger respondents and respondents with a higher education level were more likely to consider using the bicycle-sharing scheme. Individuals who had a college degree were more likely to have used this scheme. Conclusion: Residential proximity to a bicycle-sharing station was not found to be associated with the use of the bicycle-sharing scheme nor did its introduction significantly predict an increase in time spent cycling. Other interventions may be more supportive of increasing cycling in the baby boomer cohort, and, thereby, improving their overall health

Gender and age differences in walking for transport and recreation: are the relationships the same in all neighborhoods?

AbstractIntroductionWalking as regular physical activity (PA) is central to healthy aging, and environments influence walking. Multilevel neighborhood-based studies that only report average (fixed-effect) walking differences for gender and age implicitly assume that neighborhood environments influence the walking behavior of men and women, and younger and older persons, similarly. This study tests this assumption by examining whether gender and age differences in walking for transport (WfT) and walking for recreation (WfR) are similar or different across neighborhoods.MethodsThis paper used data from the HABITAT multilevel study, with 7,866 participants aged 42–68years in 2009 living in 200 neighborhoods in Brisbane, Australia. Respondents reported minutes spent WfT and WfR in the previous week, categorized as: none (0mins), low (1–59mins), moderate (60–149mins) and high (≥150mins). Multilevel multinomial logistic models were used to estimate average differences in walking by gender and age, followed by random coefficients to examine neighborhood variation in these individual-level relationships.ResultsOn average, women were more likely to engage in WfR at moderate and high levels (no gender differences found in WfT); and older persons were less likely to do WfT and more likely to do high levels of WfR. These average (Brisbane-wide) relationships varied significantly across neighborhoods.ConclusionRelationships between gender and walking, and age and walking, are not the same in all neighborhoods, (i.e. the Brisbane average conceals important information) suggesting that neighborhood-level factors differentially influence the walking behaviors of men and women and younger and older persons. Identifying these factors should be a priority for future research

Do Differences in Social Environments Explain Gender Differences in Recreational Walking across Neighbourhoods?

Within a city, gender differences in walking for recreation (WfR) vary significantly across neighbourhoods, although the reasons remain unknown. This cross-sectional study investigated the contribution of the social environment (SE) to explaining such variation, using 2009 data from the How Areas in Brisbane Influence healTh and AcTivity (HABITAT) study, including 7866 residents aged 42-67 years within 200 neighbourhoods in Brisbane, Australia (72.6% response rate). The analytical sample comprised 200 neighbourhoods and 6643 participants (mean 33 per neighbourhood, range 8-99, 95% CI 30.6-35.8). Self-reported weekly minutes of WfR were categorised into 0 and 1-840 mins. The SE was conceptualised through neighbourhood-level perceptions of social cohesion, incivilities and safety from crime. Analyses included multilevel binomial logistic regression with gender as main predictor, adjusting for age, socioeconomic position, residential self-selection and neighbourhood disadvantage. On average, women walked more for recreation than men prior to adjustment for covariates. Gender differences in WfR varied significantly across neighbourhoods, and the magnitude of the variation for women was twice that of men. The SE did not explain neighbourhood differences in the gender-WfR relationship, nor the between-neighbourhood variation in WfR for men or women. Neighbourhood-level factors seem to influence the WfR of men and women differently, with women being more sensitive to their environment, although Brisbane's SE did not seem such a factor

A multilevel study of neighborhood disadvantage, individual socioeconomic position, and body mass index: Exploring cross-level interaction effects

This study examined associations between neighborhood disadvantage and body mass index (BMI), and tested whether this differed by level of individual socioeconomic position (SEP). Data were from 9953 residents living in 200 neighborhoods in Brisbane, Australia in 2007. Multilevel linear regression analyses were undertaken by gender to determine associations between neighborhood disadvantage, individual SEP (education, occupation and household income) and BMI (from self-reported height and weight); with cross-level interactions testing whether the relationship between neighborhood disadvantage and BMI differed by level of individual SEP. Both men (Quintile 4, where Quintile 5 is the most disadvantaged β = 0.66 95%CI 0.20, 1.12) and women (Quintile 5 β = 1.32 95%CI 0.76, 1.87) from more disadvantaged neighborhoods had a higher BMI. BMI was significantly higher for those with lower educational attainment (men β = 0.71 95%CI 0.36, 1.07 and women β = 1.66 95%CI 0.78, 1.54), and significantly lower for those in blue collar occupations (men β = −0.67 95%CI −1.09, −0.25 and women β = −0.71 95%CI −1.40, −0.01). Among men, those with a lower income had a significantly lower BMI, while the opposite was found among women. None of the interaction models had a significantly better fit than the random intercept models. The relationship between neighborhood disadvantage and BMI did not differ by level of education, occupation, or household income. This suggests that individual SEP is unlikely to be an effector modifier of the relationship between neighborhood disadvantage and BMI. Further research is required to assist policy-makers to make more informed decisions about where to intervene to counteract BMI-inequalities

Identifying patterns of item missing survey data using latent groups: An observational study

Objectives: To examine whether respondents to a survey of health and physical activity and potential determinants could be grouped according to the questions they missed, known as ‘item missing’. Design: Observational study of longitudinal data. Setting: Residents of Brisbane, Australia. Participants: 6901 people aged 40–65 years in 2007. Materials and methods: We used a latent class model with a mixture of multinomial distributions and chose the number of classes using the Bayesian information criterion. We used logistic regression to examine if participants’ characteristics were associated with their modal latent class. We used logistic regression to examine whether the amount of item missing in a survey predicted wave missing in the following survey. Results: Four per cent of participants missed almost one-fifth of the questions, and this group missed more questions in the middle of the survey. Eighty-three per cent of participants completed almost every question, but had a relatively high missing probability for a question on sleep time, a question which had an inconsistent presentation compared with the rest of the survey. Participants who completed almost every question were generally younger and more educated. Participants who completed more questions were less likely to miss the next longitudinal wave. Conclusions: Examining patterns in item missing data has improved our understanding of how missing data were generated and has informed future survey design to help reduce missing data

The Impact of Rurality and Disadvantage on the Diagnostic Interval for Breast Cancer in a Large Population-Based Study of 3202 Women in Queensland, Australia.

Delays in diagnosing breast cancer (BC) can lead to poorer outcomes. We investigated factors related to the diagnostic interval in a population-based cohort of 3202 women diagnosed with BC in Queensland, Australia. Interviews ascertained method of detection and dates of medical/procedural appointments, and clinical information was obtained from medical records. Time intervals were calculated from self-recognition of symptoms (symptom-detected) or mammogram (screen-detected) to diagnosis (diagnostic interval (DI)). The cohort included 1560 women with symptom-detected and 1642 with screen-detected BC. Symptom-detected women had higher odds of DI of >60 days if they were Indigenous (OR = 3.12, 95% CI = 1.40, 6.98); lived in outer regional (OR = 1.50, 95% CI = 1.09, 2.06) or remote locations (OR = 2.46, 95% CI = 1.39, 4.38); or presented with a "non-lump" symptom (OR = 1.84, 95% CI = 1.43, 2.36). For screen-detected BC, women who were Indigenous (OR = 2.36, 95% CI = 1.03, 5.80); lived in remote locations (OR = 2.35, 95% CI = 1.24, 4.44); or disadvantaged areas (OR = 1.69, 95% CI = 1.17, 2.43) and attended a public screening facility (OR = 2.10, 95% CI = 1.40, 3.17) had higher odds of DI > 30 days. Our study indicates a disadvantage in terms of DI for rural, disadvantaged and Indigenous women. Difficulties in accessing primary care and diagnostic services are evident. There is a need to identify and implement an efficient and effective model of care to minimize avoidable longer diagnostic intervals

Um modelo interdisciplinar para a macroeconomia

Macroeconomic modelling has been under intense scrutiny since the Great Financial Crisis, when serious shortcomings were exposed in the methodology used to understand the economy as a whole. Criticism has been levelled at the assumptions employed in the dominant models, particularly that economic agents are homogeneous and optimising and that the economy is equilibrating. This paper seeks to explore an interdisciplinary approach to macroeconomic modelling, with techniques drawn from other (natural and social) sciences. Specifically, it discusses agent-based modelling, which is used across a wide range of disciplines, as an example of such a technique. Agent-based models are complementary to existing approaches and are suited to answering macroeconomic questions where complexity, heterogeneity, networks, and heuristics play an important role.La modelación macroeconómica está bajo intenso escrutinio desde la gran crisis financiera, que dejó al descubierto los graves defectos de la metodología utilizada para entender la economía en su conjunto. Se critican los supuestos empleados en los modelos dominantes, en particular que los agentes económicos son homogéneos y optimizadores y que la economía se equilibra. Este escrito explora un enfoque interdisciplinario de modelación macroeconómica con técnicas tomadas de otras ciencias, y examina la modelación basada en agentes como ejemplo de esas técnicas. Los modelos basados en agentes complementan los enfoques existentes y son adecuados para responder preguntas macroeconómicas donde la complejidad, la heterogeneidad, las redes y las heurísticas cumplen un papel importante.A modelagem macroeconômica está sob intensa análise desde a grande crise financeira, que expôs as graves falhas da metodologia utilizada para entender a economia como um todo. As premissas utilizadas nos modelos dominantes são criticadas, em particular, que os agentes econômicos são homogêneos e otimizadores, e que a economia é equilibrada. Este artigo explora uma abordagem interdisciplinar da modelagem macroeconômica com técnicas emprestadas de outras ciências e examina a modelagem baseada em agentes como um exemplo dessas técnicas. Os modelos baseados em agentes complementam as abordagens existentes e são adequados para responder a questões macroeconômicas em que complexidade, heterogeneidade, redes e heurísticas desempenham um papel importante

Un modelo interdisciplinario para la macroeconomía

La modelación macroeconómica está bajo intenso escrutinio desde la gran crisis financiera, que dejó al descubierto los graves defectos de la metodología utilizada para entender la economía en su conjunto. Se critican los supuestos empleados en los modelos dominantes, en particular que los agentes económicos son homogéneos y optimizadores y que la economía se equilibra. Este escrito explora un enfoque interdisciplinario de modelación macroeconómica con técnicas tomadas de otras ciencias, y examina la modelación basada en agentes como ejemplo de esas técnicas. Los modelos basados en agentes complementan los enfoques existentes y son adecuados para responder preguntas macroeconómicas donde la complejidad, la heterogeneidad, las redes y las heurísticas cumplen un papel importante

Income differences in food consumption in the 1995 Australian national nutrition survey

Objective: To assess the relationships between an index of per capita income and the intake of a variety of individual foods as well as groups of food for men and women in different age groups. Design: Cross-sectional national survey of free-living men and women. Subjects: A sample of 5053 males and 5701 females aged 18 y and over who completed the Australian National Nutrition Survey 1995. Methods: Information about the frequency of consumption of 88 food items was obtained. On the basis of scores on the Food Frequency Questionnaire, regular and irregular consumers of single foods were identified. The relationships between regularity of consumption of individual foods and per capita income were analysed via contingency tables. Food variety scores were derived by assigning individual foods to conventional food group taxonomies, and then summing up the dichotomised intake scores for individual foods within each food group. Two-way ANOVA (income age group) were performed on the food variety scores for males and females, respectively. Results: Per capita income was extensively related to the reported consumption of individual foods and to total and food group variety indices. Generally, both men and women in low income households had less varied diets than those in higher-income households. However, several traditional foods were consumed less often by young high-income respondents, especially young women. Conclusions: Major income differentials in food variety occur in Australia but they are moderated by age and gender. Younger high-income women, in particular, appear to have rejected a number of traditional foods, possibly on the basis of health beliefs. The findings also suggest that data aggregation has marked effects on income and food consumption relationships.<br /

Grip Force Reveals the Context Sensitivity of Language-Induced Motor Activity during “Action Words

Studies demonstrating the involvement of motor brain structures in language processing typically focus on \ud time windows beyond the latencies of lexical-semantic access. Consequently, such studies remain inconclusive regarding whether motor brain structures are recruited directly in language processing or through post-linguistic conceptual imagery. In the present study, we introduce a grip-force sensor that allows online measurements of language-induced motor activity during sentence listening. We use this tool to investigate whether language-induced motor activity remains constant or is modulated in negative, as opposed to affirmative, linguistic contexts. Our findings demonstrate that this simple experimental paradigm can be used to study the online crosstalk between language and the motor systems in an ecological and economical manner. Our data further confirm that the motor brain structures that can be called upon during action word processing are not mandatorily involved; the crosstalk is asymmetrically\ud governed by the linguistic context and not vice versa