@article{
 title = {Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis.},
 type = {article},
 year = {2014},
 identifiers = {[object Object]},
 keywords = {accelerometer,analysis,and results have not,assumptions,been previously published,measurement,physical activity,sedentary behavior,the authors declare that,the data,the submitted paper},
 pages = {35-49},
 volume = {11},
 websites = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3990855&tool=pmcentrez&rendertype=abstract},
 month = {1},
 id = {2de6c2e1-8be0-38e2-8432-8cbfc06adb81},
 created = {2016-04-14T18:02:31.000Z},
 accessed = {2014-10-17},
 file_attached = {true},
 profile_id = {d28af011-5164-3af4-8522-822cff4de1eb},
 group_id = {e39cd875-9ef8-3fee-ad92-c9d084a63048},
 last_modified = {2017-10-14T23:14:06.076Z},
 tags = {accelerometry},
 read = {true},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Gorman2014},
 folder_uuids = {dc34bb65-a794-457d-b88a-9687552166f4},
 private_publication = {false},
 abstract = {Accelerometers objectively monitor physical activity and sedentary patterns and are increasingly used in the research setting. It is important to maintain consistency in data analysis and reporting, therefore, we: (1) systematically identified studies using accelerometry (ActiGraph, Pensacola, FL, USA) to measure moderate-to-vigorous physical activity (MVPA) and sedentary time in older adults, and (2) based on the review findings, we used different cut-points obtained to analyze accelerometry data from a sample of community-dwelling older women. We identified 59 articles with cut-points ranging between 574 and 3,250 counts/min for MVPA and 50 and 500 counts/min for sedentary time. Using these cut-points and data from women (mean age, 70 years), the median MVPA minutes per day ranged between 4 and 80 min while percentage of sedentary time per day ranged between 62 % and 86 %. These data highlight (1) the importance of reporting detailed information on the analysis assumptions and (2) that results can differ greatly depending on analysis parameters.},
 bibtype = {article},
 author = {Gorman, E and Hanson, H M and Yang, P H and Khan, K M and Liu-Ambrose, T and Ashe, M C},
 journal = {European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity}
}

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It is important to maintain consistency in data analysis and reporting, therefore, we: (1) systematically identified studies using accelerometry (ActiGraph, Pensacola, FL, USA) to measure moderate-to-vigorous physical activity (MVPA) and sedentary time in older adults, and (2) based on the review findings, we used different cut-points obtained to analyze accelerometry data from a sample of community-dwelling older women. We identified 59 articles with cut-points ranging between 574 and 3,250 counts/min for MVPA and 50 and 500 counts/min for sedentary time. Using these cut-points and data from women (mean age, 70 years), the median MVPA minutes per day ranged between 4 and 80 min while percentage of sedentary time per day ranged between 62 % and 86 %. These data highlight (1) the importance of reporting detailed information on the analysis assumptions and (2) that results can differ greatly depending on analysis parameters.","bibtype":"article","author":"Gorman, E and Hanson, H M and Yang, P H and Khan, K M and Liu-Ambrose, T and Ashe, M C","journal":"European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity","bibtex":"@article{\n title = {Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis.},\n type = {article},\n year = {2014},\n identifiers = {[object Object]},\n keywords = {accelerometer,analysis,and results have not,assumptions,been previously published,measurement,physical activity,sedentary behavior,the authors declare that,the data,the submitted paper},\n pages = {35-49},\n volume = {11},\n websites = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3990855&tool=pmcentrez&rendertype=abstract},\n month = {1},\n id = {2de6c2e1-8be0-38e2-8432-8cbfc06adb81},\n created = {2016-04-14T18:02:31.000Z},\n accessed = {2014-10-17},\n file_attached = {true},\n profile_id = {d28af011-5164-3af4-8522-822cff4de1eb},\n group_id = {e39cd875-9ef8-3fee-ad92-c9d084a63048},\n last_modified = {2017-10-14T23:14:06.076Z},\n tags = {accelerometry},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Gorman2014},\n folder_uuids = {dc34bb65-a794-457d-b88a-9687552166f4},\n private_publication = {false},\n abstract = {Accelerometers objectively monitor physical activity and sedentary patterns and are increasingly used in the research setting. 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