Access to a Car and the Self-Reported Health and Mental Health of People Aged 65 and Older in Northern Ireland

Doebler, Stefanie

doi:10.1177/0164027515590424

Cited by 8 publications

(6 citation statements)

References 37 publications

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“…In later life, older adults’ social networks increasingly become restricted due to the onset of losses, such as physical health declines (Steptoe et al , 2013; Burholt and Scharf, 2014), mobility problems (Rosso et al , 2013) and driving cessation (Siren and Hausten, 2015; Doebler, 2016). Whilst living in a rural area is sometimes romanticised (Walsh et al , 2012) and associated with better life satisfaction (Milbourne and Doheny, 2012; Oguz et al , 2013), older people who live rurally may encounter significant disadvantages in terms of social integration.…”

Section: Introductionmentioning

confidence: 99%

“…For rural dwellers, social integration in the United Kingdom (UK) and Ireland is increasingly dependent upon car ownership (Gray, 2004; Gray et al , 2006; Ahern and Hine, 2012; Milbourne and Doheny, 2012; Shergold et al , 2012; Smith et al , 2012; Walsh et al , 2012; Zeitler and Buys, 2015). By contrast, lack of access to a car in a rural area may be a measure of deprivation, with there being an additional need to explore the value of alternative means of transport for older people (Doebler, 2016). This article, then, asks participants using a rural community transport service in western Northern Ireland to reflect upon their experiences.…”

Section: Introductionmentioning

confidence: 99%

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Getting out of the house: the use of community transport as a third place for rural-dwelling older adults

Hagan

2019

Ageing and Society

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Rural-dwelling older adults experience significant shrinkage in their social networks and capital due to transitions in later life related to poor physical health, mobility difficulties and bereavements. Being rurally located adds an extra layer of disadvantage. This article explores how older adults may use community transport systems to not only facilitate important social tasks but also maintain friendships and other valued relationships. Semi-structured interviews were carried out with 11 users of a rural transport community bus service in western Northern Ireland. The interviews identified that participants viewed the transport system as a highly valued conduit for helping escape isolation, maintaining autonomy, and providing an informal space for relationship building and accessing local news.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Getting out of the house: the use of community transport as a third place for rural-dwelling older adults

Hagan

2019

Ageing and Society

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“…Transportation barriers due to lack of access to transportation leads to rescheduling con icts longer wait times and missed or delayed care 119 . These in turn promote poorer management of chronic illness and mental health outcomes 120 . We found that patients living in zip codes with lack of available transportation tend to experience higher incidences of ASUD risks as opposed to patients living in zip codes with access to transportation.…”

Section: Transportation Barriermentioning

confidence: 99%

DeepBiomarker2: Prediction of alcohol and substance use disorder risk in post-traumatic stress disorder patients using electronic medical records and multiple social determinants of health

Miranda

Fan

et al. 2023

Preprint

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Introduction: Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. In our previous study, we developed a deep learning-based model, DeepBiomarker by utilizing electronic medical records (EMR) to predict the outcomes of patients with suicide-related events in post-traumatic stress disorder (PTSD) patients. Methods We improved our deep learning model to develop DeepBiomarker2 through data integration of multimodal information: lab tests, medication use, diagnosis, and social determinants of health (SDoH) parameters (both individual and neighborhood level) from EMR data for outcome prediction. We further refined our contribution analysis for identifying key factors. We applied DeepBiomarker2 to analyze EMR data of 38,807 patients from University of Pittsburgh Medical Center diagnosed with PTSD to determine their risk of developing alcohol and substance use disorder (ASUD). Results DeepBiomarker2 predicted whether a PTSD patient will have a diagnosis of ASUD within the following 3 months with a c-statistic (receiver operating characteristic AUC) of 0·93. We used contribution analysis technology to identify key lab tests, medication use and diagnosis for ASUD prediction. These identified factors imply that the regulation of the energy metabolism, blood circulation, inflammation, and microbiome is involved in shaping the pathophysiological pathways promoting ASUD risks in PTSD patients. Our study found protective medications such as oxybutynin, magnesium oxide, clindamycin, cetirizine, montelukast and venlafaxine all have a potential to reduce risk of ASUDs. Discussion DeepBiomarker2 can predict ASUD risk with high accuracy and can further identify potential risk factors along with medications with beneficial effects. We believe that our approach will help in personalized interventions of PTSD for a variety of clinical scenarios.

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“…It allows them to engage in various activities, from performing daily mundane tasks such as shopping for groceries and commuting to work, to achieving broader life goals such as engaging in one's community and traveling to new places ( 3 ). Driving is strongly associated with independence, an active lifestyle, well-being, and quality of life ( 4 , 5 ). Therefore, it is not surprising that people desire to continue to be able to drive and to maintain their driver's license for as long as possible, even in light of advancing age or changes in health status ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

Self-awareness predicts fitness to drive among adults referred to occupational therapy evaluation

Rosenfeld

Goverover

Weiss

2022

Front. Rehabilit. Sci.

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BackgroundDriving is associated with independence, well-being, quality of life, and an active lifestyle. Driving requires cognitive, motor, and visual skills, including self-awareness and processing speed. This study examines whether driver self-awareness, motor processing speed, and cognitive processing speed can predict fitness to drive among individuals referred to occupational therapy evaluation due to concerns about their driving ability.MethodIn this cross-sectional study, 39 participants were referred to off- and on-road driving evaluation to determine their fitness to drive due to changes in health status, advanced age, license renewal requirement, or prior automobile accidents. A registered occupational therapist (OT) classified 23 of the participants as fit to drive and 16 as unfit to drive. Motor and cognitive processing speed were assessed by the Stationary Perception-Reaction Timer and the Color Trails Test, respectively. Driving self-awareness was assessed by comparing the DI and OT evaluations to the participants' estimation of their own on-road driving performance.ResultsThe fit-to-drive participants had a better motor and cognitive processing speed than those unfit-to-drive. The unfit-to-drive group overestimated their driving ability, whereas the fit-to-drive group accurately or almost accurately estimated their driving ability. Driving self-awareness was a significant predictor of participants' fitness to drive.ConclusionsThis study demonstrates the importance of self-awareness for predicting fitness to drive among people at risk for compromised driving skills. Thus, driving self-awareness should be addressed as part of fitness-to-drive evaluations and interventions.

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Access to a Car and the Self-Reported Health and Mental Health of People Aged 65 and Older in Northern Ireland

Abstract: This article examines relationships between access to a car and the self-reported health and mental health of older people. The analysis is based on a sample of N=65,601 individuals

Cited by 8 publications

References 37 publications

Getting out of the house: the use of community transport as a third place for rural-dwelling older adults

Getting out of the house: the use of community transport as a third place for rural-dwelling older adults

DeepBiomarker2: Prediction of alcohol and substance use disorder risk in post-traumatic stress disorder patients using electronic medical records and multiple social determinants of health

Self-awareness predicts fitness to drive among adults referred to occupational therapy evaluation

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