Dataset Information

Healthy travel and the socio-economic structure of car commuting in Cambridge, UK: a mixed-methods analysis.

ABSTRACT: Car use is associated with substantial health and environmental costs but research in deprived populations indicates that car access may also promote psychosocial well-being within car-oriented environments. This mixed-method (quantitative and qualitative) study examined this issue in a more affluent setting, investigating the socio-economic structure of car commuting in Cambridge, UK. Our analyses involved integrating self-reported questionnaire data from 1142 participants in the Commuting and Health in Cambridge study (collected in 2009) and in-depth interviews with 50 participants (collected 2009-2010). Even in Britain's leading 'cycling city', cars were a key resource in bridging the gap between individuals' desires and their circumstances. This applied both to long-term life goals such as home ownership and to shorter-term challenges such as illness. Yet car commuting was also subject to constraints, with rush hour traffic pushing drivers to start work earlier and with restrictions on, or charges for, workplace parking pushing drivers towards multimodal journeys (e.g. driving to a 'park-and-ride' site then walking). These patterns of car commuting were socio-economically structured in several ways. First, the gradient of housing costs made living near Cambridge more expensive, affecting who could 'afford' to cycle and perhaps making cycling the more salient local marker of Bourdieu's class distinction. Nevertheless, cars were generally affordable in this relatively affluent, highly-educated population, reducing the barrier which distance posed to labour-force participation. Finally, having the option of starting work early required flexible hours, a form of job control which in Britain is more common among higher occupational classes. Following a social model of disability, we conclude that socio-economic advantage can make car-oriented environments less disabling via both greater affluence and greater job control, and in ways manifested across the full socio-economic range. This suggests the importance of combining individual-level 'healthy travel' interventions with measures aimed at creating travel environments in which all social groups can pursue healthy and satisfying lives.

SUBMITTER: Goodman A

PROVIDER: S-EPMC3611603 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Healthy travel and the socio-economic structure of car commuting in Cambridge, UK: a mixed-methods analysis.

Goodman Anna A Guell Cornelia C Panter Jenna J Jones Natalia R NR Ogilvie David D

Social science & medicine (1982) 20120314 12

Car use is associated with substantial health and environmental costs but research in deprived populations indicates that car access may also promote psychosocial well-being within car-oriented environments. This mixed-method (quantitative and qualitative) study examined this issue in a more affluent setting, investigating the socio-economic structure of car commuting in Cambridge, UK. Our analyses involved integrating self-reported questionnaire data from 1142 participants in the Commuting and ...[more]

PMID: 22465380

Similar Datasets

Project description:PurposeTo strengthen our understanding of the impact of baseline variability in mode choice on the likelihood of travel behaviour change.MethodsQuasi-experimental analyses in a cohort study of 450 commuters exposed to a new guided busway with a path for walking and cycling in Cambridge, UK. Exposure to the intervention was defined using the shortest network distance from each participant's home to the busway. Variability in commuter travel behaviour at baseline was defined using the Herfindahl-Hirschman Index, the number of different modes of transport used over a week, and the proportion of trips made by the main (combination of) mode(s). The outcomes were changes in the share of commute trips (i) involving any active travel, (ii) involving any public transport, and (iii) made entirely by car. Variability and change data were derived from a self-reported seven-day record collected before (2009) and after (2012) the intervention. Separate multinomial regression models were estimated to assess the influence of baseline variability on behaviour change, both independently and as an interaction effect with exposure to the intervention.ResultsAll three measures of variability predicted changes in mode share in most models. The effect size for the intervention was slightly strengthened after including variability. Commuters with higher baseline variability were more likely to increase their active mode share (e.g. for HHI: relative risk ratio [RRR] for interaction 3.34, 95% CI 1.41, 7.89) and decrease their car mode share in response to the intervention (e.g. for HHI: RRR 7.50, 95% CI 2.52, 22.34).ConclusionsPeople reporting a higher level of variability in mode choice were more likely to change their travel behaviour following an intervention. Future research should consider such variability as a potential predictor and effect modifier of travel and physical activity behaviour change, and its significance for the design and targeting of interventions.

Project description:BackgroundTuberculosis (TB) is a major public health problem and at 48%, Karamoja in North-Eastern Uganda has the lowest treatment success rate nationally. Addressing the social determinants of TB is crucial to ending TB. This study sought to understand the extent and ways in which socio-economic factors affect TB treatment outcomes in Karamoja.MethodsWe conducted a convergent parallel mixed methods study in 10 TB Diagnostic and Treatment Units. The study enrolled former TB patients diagnosed with drug-susceptible TB between April 2018 and March 2019. Unit TB and laboratory registers were reviewed to identify pre-treatment losses to follow-up. Four focus group discussions with former TB patients and 18 key informant interviews with healthcare workers were conducted. Principle component analysis was used to generate wealth quintiles that were compared to treatment outcomes using the proportion test. The association between sociodemographic characteristics and TB treatment outcomes was evaluated using the chi-square test and multiple logistic regression.ResultsA total of 313 participants were randomly selected from 1184 former TB patients recorded in the unit TB registers. Of these, 264 were contacted in the community and consented to join the study: 57% were male and 156 (59.1%) participants had unsuccessful treatment outcomes. The wealthiest quintile had a 58% reduction in the risk of having an unsuccessful treatment outcome (adj OR = 0.42, 95% CI 0.18-0.99, p = 0.047). People who were employed in the informal sector (adj OR = 4.71, 95% CI 1.18-18.89, p = 0.029) and children under the age of 15 years who were not in school or employed (adj OR = 2.71, 95% CI 1.11-6.62, p = 0.029) had significantly higher odds of unsuccessful treatment outcome. Analysis of the pre-treatment loss to follow-up showed that 17.2% of patients with pulmonary bacteriologically confirmed TB did not initiate treatment with a higher proportion among females (21.7%) than males (13.5%). Inadequate food, belonging to migratory communities, stigma, lack of social protection, drug stock-outs and transport challenges affected TB treatment outcomes.ConclusionsThis study confirmed that low socio-economic status is associated with poor TB treatment outcomes emphasizing the need for multi- and cross-sectoral approaches and socio-economic enablers to optimise TB care.

Project description:BackgroundControlling the pandemic spread of newly emerging diseases requires rapid, targeted allocation of limited resources among nations. Critical, early control steps would be greatly enhanced if the key risk factors can be identified that accurately predict early disease spread immediately after emergence.Methodology/principal findingsHere, we examine the role of travel, trade, and national healthcare resources in predicting the emergence and initial spread of 2009 A/H1N1 influenza. We find that incorporating national healthcare resource data into our analyses allowed a much greater capacity to predict the international spread of this virus. In countries with lower healthcare resources, the reporting of 2009 A/H1N1 cases was significantly delayed, likely reflecting a lower capacity for testing and reporting, as well as other socio-political issues. We also report substantial international trade in live swine and poultry in the decade preceding the pandemic which may have contributed to the emergence and mixed genotype of this pandemic strain. However, the lack of knowledge of recent evolution of each H1N1 viral gene segment precludes the use of this approach to determine viral origins.Conclusions/significanceWe conclude that strategies to prevent pandemic influenza virus emergence and spread in the future should include: 1) enhanced surveillance for strains resulting from reassortment in traded livestock; 2) rapid deployment of control measures in the initial spreading phase to countries where travel data predict the pathogen will reach and to countries where lower healthcare resources will likely cause delays in reporting. Our results highlight the benefits, for all parties, when higher income countries provide additional healthcare resources for lower income countries, particularly those that have high air traffic volumes. In particular, international authorities should prioritize aid to those poorest countries where both the risk of emerging infectious diseases and air traffic volume is highest. This strategy will result in earlier detection of pathogens and a reduction in the impact of future pandemics.

Project description:ObjectiveTo systematically review the literature on women's experiences traveling for abortion and assess how this concept has been explored and operationalized, with a focus on travel distance, cost, delays, and other barriers to receiving services.BackgroundIncreasing limitations on abortion providers and access to care have increased the necessity of travel for abortion services around the world. No systematic examination of women's experiences traveling for abortion has been conducted; this mixed-methods review provides a summary of the qualitative and quantitative literature on this topic.MethodsA systematic search was conducted using PubMed, Embase, Web of Science, Popline, and Google Scholar in July 2016 and updated in March 2017 (PROSPERO registration # CRD42016046007). We included original research studies that described women's experiences traveling for abortion. Two reviewers independently performed article screening, data extraction and determination of final inclusion for analysis. Critical appraisal was conducted using CASP, STROBE, and MMAT checklists.ResultsWe included 59 publications: 46 quantitative studies, 12 qualitative studies, and 1 mixed-methods study. Most studies were published in the last five years, relied on data from the US, and discussed travel as a secondary outcome of interest. In quantitative studies, travel was primarily conceptualized and measured as road or straight-line distance to abortion provider, though some studies also incorporated measures of burdens related to travel, such as financial cost, childcare needs, and unwanted disclosure of their abortion status to others. Qualitative studies explored regional disparities in access to abortion care, with a focus on the burdens related to travel, the impact of travel on abortion method choice, and women's reasons for travel. Studies generally were of high quality, though many studies lacked information on participant recruitment or consideration of potential biases.ConclusionsStandardized measurements of travel, including burdens associated with travel and more nuanced considerations of travel costs, should be implemented in order to facilitate comparison across studies. More research is needed to explore and accurately capture different dimensions of the burden of travel for abortion services on women's lives.

Project description:From 2008 to 2014, the Healthy Kids, Healthy Communities (HKHC) national program funded 49 communities across the United States and Puerto Rico to implement healthy eating and active living policy, system, and environmental changes to support healthier communities for children and families, with special emphasis on reaching children at highest risk for obesity on the basis of race, ethnicity, income, or geographic location. Evaluators designed a mixed-methods evaluation to capture the complexity of the HKHC projects, understand implementation, and document perceived and actual impacts of these efforts. Eight complementary evaluation methods addressed 4 primary aims seeking to (1) coordinate data collection for the evaluation through the web-based project management system (HKHC Community Dashboard) and provide training and technical assistance for use of this system; (2) guide data collection and analysis through use of the Assessment and Evaluation Toolkit; (3) conduct a quantitative cross-site impact evaluation among a subset of community partnership sites; and (4) conduct a qualitative cross-site process and impact evaluation among all 49 community partnership sites. Evaluators identified successes and challenges in relation to the following methods: an online performance-monitoring HKHC Community Dashboard system, environmental audits, direct observations, individual and group interviews, partnership and community capacity surveys, group model building, photographs and videos, and secondary data sources (surveillance data and record review). Several themes emerged, including the value of systems approaches, the need for capacity building for evaluation, the value of focusing on upstream and downstream outcomes, and the importance of practical approaches for dissemination. The mixed-methods evaluation of HKHC advances evaluation science related to community-based efforts for addressing childhood obesity in complex community settings. The findings are likely to provide practice-relevant evidence for public health.

Project description:IntroductionPublic health responses to the COVID-19 pandemic have reaped adverse physical, psychological, social and economic effects, with older adults disproportionally affected. Psychological consequences of the pandemic include fear, worry and anxiety. COVID-19 fear may impact individuals' mitigation behaviours, influencing their willingness to (re)engage in health, social and economic behaviours. This study seeks (1) to develop a robust and evidence-based questionnaire to measure the prevalence of COVID-19 fear among older adults (aged ≥50) in Scotland and (2) to examine the impact of COVID-19 fear on the willingness of older adults to (re)engage across health, social and economic domains as society adjusts to the 'new normal' and inform policy and practice.Methods and analysisThis mixed-method study includes a large-scale multimodal survey, focus groups and interviews with older adults (aged ≥50) living in Scotland, and an email-based 'e-Delphi' consultation with professionals working with older adults. The COVID-19 fear scale was developed and validated using exploratory and confirmatory factor analyses. Survey data will be analysed using descriptive and inferential statistics. Thematic analysis will be used to analyse qualitative data. Survey and qualitative findings will be triangulated and used as the starting point for an 'e-Delphi' consensus consultation with expert stakeholders.Ethics and disseminationEthical approval has been obtained from the University of Stirling for multimodal survey development, fieldwork methodology and data management. Anonymised survey data will be deposited with the UK Data Service, with a link provided via the Gateway to Global Ageing. Qualitative data will be deposited with the University of Stirling online digital repository-DataSTORRE. A dedicated work package will oversee dissemination via a coproduced project website, conference presentations, rapid reports and national and international peer-reviewed journal articles. There is planned engagement with Scottish and UK policy makers to contribute to the UK government's COVID-19 recovery strategy.

Project description:OBJECTIVES:To examine whether there are associations between active travel and markers of a healthy, low-carbon (HLC) diet (increased consumption of fruit and vegetables (FV), reduced consumption of red and processed meat (RPM)). DESIGN:Cross-sectional analysis of a cohort study. SETTINGS:Population cohort of over 500 000 people recruited from 22 centres across the UK. Participants aged between 40 and 69 years were recruited between 2006 and 2010. PARTICIPANTS:412 299 adults with complete data on travel mode use, consumption of FV and RPM, and sociodemographic covariates were included in the analysis. EXPOSURE MEASURES:Mutually exclusive mode or mode combinations of travel (car, public transport, walking, cycling) for non-work and commuting journeys. OUTCOME MEASURES:Consumption of FV measured as portions per day and RPM measured as frequency per week. RESULTS:Engaging in all types of active travel was positively associated with higher FV consumption and negatively associated with more frequent RPM consumption. Cycling exclusively or in combination with walking was most strongly associated with increased dietary consumption of FV and reduced consumption of RPM for both non-work and commuting journeys. Overall, the strongest associations were between non-work cycling and FV consumption (males: adjusted OR=2.18, 95% CI 2.06 to 2.30; females: adjusted OR=2.50, 95% CI 2.31 to 2.71) and non-work cycling and RPM consumption (males: adjusted OR=0.57, 95% CI 0.54 to 0.60; females: adjusted OR=0.54, 95% CI 0.50 to 0.59). Associations were generally similar for both commuting and non-work travel, and were robust to adjustment with sociodemographic and behavioural factors. CONCLUSIONS:There are strong associations between engaging in active travel, particularly cycling, and HLC dietary consumption, suggesting that these HLC behaviours are related. Further research is needed to better understand the drivers and dynamics between these behaviours within individuals, and whether they share common underlying causes.

Project description:IntroductionIn the Central African Republic (CAR), HIV/AIDS is the main cause of death in women aged 15-49 years. Increased testing coverage is essential in prevention of HIV/AIDS, especially in areas where conflict hinders access to health care. Socio-economic status (SES) has been shown to be associated with HIV testing uptake. We investigated whether "Provider-initiated HIV testing and counselling" (PITC) could be implemented in a family planning clinic in an active conflict zone in the Central African Republic to reach women of reproductive age and assessed whether socioeconomic status was associated with testing uptake.MethodsWomen aged 15-49 years were recruited from a free family planning clinic run by Médecins Sans Frontières in the capital Bangui. An asset-based measurement tool was created based on analysis of qualitative in-depth interviews. Measures of socioeconomic status were constructed from the tool, also by using factor analysis. Logistic regression was used to quantify the association between SES and HIV testing uptake (yes/no), while controlling for potential confounders: age, marital status, number of children, education level and head of household.ResultsA total of 1419 women were recruited during the study period, where 87.7% consented to HIV testing, and 95.5% consented to contraception use. A total of 11.9% had never been tested for HIV previously. Factors negatively associated with HIV testing uptake were: being married (OR = 0.4, 95% CI 0.3-0.5); living in a household headed by the husband as opposed to by another person (OR = 0.4, 95% CI 0.3-0.6), and lower age (OR = 0.96, 95% CI 0.93-0.99). Higher level of education (OR = 1.0, 95% CI 0.97-1.1) and having more children aged under 15 (OR = 0.92, 95% CI 0.81-1.1) was not associated with testing uptake. In multivariable regression, testing uptake was lower in the higher SES groups, but the differences were not significant (OR = 0.80, 95% CI 0.55-1.18).ConclusionsThe findings show that PITC can be successfully implemented in the patient flow in a family planning clinic, without compromising contraception uptake. Within the PITC framework in a conflict setting, socioeconomic status was not found to be associated with testing uptake in women of reproductive age.

Dataset Information

Healthy travel and the socio-economic structure of car commuting in Cambridge, UK: a mixed-methods analysis.

Publications

Healthy travel and the socio-economic structure of car commuting in Cambridge, UK: a mixed-methods analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets