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1.
Am J Prev Med ; 58(6): e191-e199, 2020 06.
Article in English | MEDLINE | ID: mdl-32156488

ABSTRACT

CONTEXT: This scoping review examines the literature as it relates to autonomous vehicles and impact on movement behavior (i.e., physical activity, sedentary behavior, and sleep) or mode choice (e.g., public transit), beliefs about movement behavior or mode choice, or impact on environments that may influence movement behavior or mode choice. EVIDENCE ACQUISITION: A search was conducted in June 2018 and updated in August 2019 of numerous databases (e.g., SPORTDiscuss, PubMed, and Scopus) and hand searching using terms such as autonomous cars and walking. Documents were included if they were databased studies, published in English, and related to the research question. They were then coded by 6 reviewers for characteristics of the document, design, sample, autonomous vehicles, movement behavior, and findings. The coding and analysis were conducted between August 2018 and September 2019. EVIDENCE SYNTHESIS: Of 1,262 possible studies, 192 remained after a title and abstract scan, and 70 were included after a full-article scan. Most of the studies were conducted in Europe (42%) or North America (40%), involved simulation modeling (50%) or cross-sectional (34%) designs, and were published mostly in transportation (83%) journals or reports. Of the 252 findings, 61% related to movement behavior or mode choice. Though the findings were equivocal in some cases, impacts included decreased demand for active transportation, increased demand for autonomous vehicles, increased sitting and sleeping, and reduced walking. CONCLUSIONS: Though no experimental or longitudinal studies have been published to date, the available research suggests that autonomous vehicles will impact aspects of mode choice and the built environment of people residing in much of the developed world, resulting in reduced walking and more sitting.


Subject(s)
Automation , Automobiles , Exercise , Sedentary Behavior , Transportation , Cross-Sectional Studies , Environment Design , Europe , Humans , North America , Public Health , Residence Characteristics , Walking
2.
BMJ Open ; 10(2): e034542, 2020 02 12.
Article in English | MEDLINE | ID: mdl-32054628

ABSTRACT

OBJECTIVE: Exercise is an effective modality for the prevention and treatment of chronic conditions and family physicians are the healthcare providers tasked to manage patients' chronic disease status. However, little is known about the exercise documentation in family-physician records. Therefore, a scoping review was conducted to describe family-physician-recorded exercise-related advice to patients in electronic medical records. DESIGN: Scoping review. SETTING: Primary care clinics. SEARCH STRATEGY: PubMed, Medline, SPORTDiscus, Google, Dissertations & Theses Global, OCLC PapersFirst (via First Search) and included references were searched between 1 January 1990 and 10 June 2018. Extracted information included year, geographic origin, data input structure, input frequency and content of exercise inputs in family physicians' electronic medical records. The primary outcomes are the structure, purpose and frequency of inputs. RESULTS: Of a possible 1758 documents, 83 remained after a title and abstract scan and 22 after a full-text review. These documents included 32 findings of physical activity/exercise medical record documentation: counselling/advising patients (50.0%), status (12.5%), embedded questionnaires (12.5%), status as a risk factor (12.5%), health promotion documentation (6.3%), inactivity status (3.1%) and grading (3.1%). The frequency of exercise inputs in primary care records vary from as low as 0.4% of patients with documentation of physical activity health promotion inputs to as high as 87.8% of patients with exercise or physical activity status recorded. The majority of included documents (63.6%) were focused on patients with identified chronic conditions. CONCLUSION: The findings suggest that the structure and purpose of exercise documentation is often unclear or unspecified. Studies that present exercise information from family-physician medical records tend to focus on patients with specific chronic conditions and present little detail about the field from which information was extracted. The review found that the proportion of patients with physical activity or exercise information is often less than half.


Subject(s)
Documentation , Electronic Health Records , Exercise , Family Practice , Health Behavior , Primary Health Care , Humans , Practice Patterns, Physicians'
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