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  • 标题:At-a-glance – Supervised Injection Services: a community-based response to the opioid crisis in the City of Ottawa, Canada
  • 本地全文:下载
  • 作者:Sarah DelVillano ; Margaret de Groh ; Howard Morrison
  • 期刊名称:Maladies Chroniques et Blessures au Canada
  • 印刷版ISSN:1925-6531
  • 电子版ISSN:1925-654X
  • 出版年度:2019
  • 卷号:39
  • 期号:3
  • 页码:1-54
  • DOI:10.24095/hpcdp.39.3.03
  • 出版社:Agence de la Santé Publique du Canada
  • 摘要:Introduction: Geographical positioning systems (GPS) have the capacity to provide further context around where physical activity (PA) and sedentary time (ST) are accrued especially when overlaid onto objectively measured movement. The objective of this rapid review was to summarize evidence from location-based studies which employed the simultaneous use of GPS and objective measures of PA and/or ST. Methods: Six databases were searched to identify studies that employed the simultaneous use of GPS and objective measures of PA or ST to quantify location of movement. Risk of bias was assessed, and a qualitative synthesis completed. Results: Searching identified 3446 articles; 59 were included in the review. A total of 22 studies in children, 17 in youth and 20 in adults were captured. The active transportation environment emerged as an important location for moderate-to-vigorous intensity physical activity (MVPA) in children, youth and adults. In children and youth, the school is an important location for MVPA, especially the schoolyard for children. Indoor locations (e.g., schools, homes) appear to be greater sources of lighter intensities of PA and ST. The review was limited by a lack of standardization in the nomenclature used to describe the locations and methods, as well as measures of variance. Conclusion: Evidence suggests that the active transportation environment is a potentially important contributor of MVPA across an individual’s lifespan. There is a need for future location-based studies to report on locations of all intensity of movement (including minutes and proportion) using a whole-day approach in larger representative samples.
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