End-user programming tool for analyzing food composition data from Automated Multiple-Pass Method (AMPM) food surveys and building a comprehensive food profile. Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_projects/0k225c15d

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  • Surveys are often used in health studies to collect data about participants for scientific research. An increasing number of health scientists are turning to online data collection methods because they are less costly and can reach a large diverse population quickly. Online surveys also make it easy to track and manage the responses from participants. The WAVE project is a 5 year childhood obesity prevention study being conducted at Oregon State University by health scientists utilizing a web application called WavePipe. WavePipe enables the health scientists to create studies, enroll subjects, assign mobile devices, collect physical activity data, collect nutritional data through online surveys, and analyze the data. This Master’s project presents a new sub-system that enables health scientists to analyze and visualize large quantities of AMPM 24-hour dietary recalls for sub-groups of participants over any desired period of time. In addition, the sub-system enables scientists to import new food information from multiple food composition databases and create entries of new foods to build a comprehensive food profile. The output from this sub-system is customized report that shows a selection of nutrients by a sub-group of subjects.
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  • description.provenance : Submitted by Catharina Vijay (vijayc@oregonstate.edu) on 2016-06-03T02:16:00Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) VijayCatharinaV2015.pdf: 1241979 bytes, checksum: eb576e22a88df7494cad2bc4f3a16dda (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-08-10T17:44:53Z (GMT) No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) Catharina Vijay.pdf: 985775 bytes, checksum: c7d0289ef1745d9ef08dd46352eacc24 (MD5)
  • description.provenance : Rejected by Julie Kurtz(julie.kurtz@oregonstate.edu), reason: Rejecting because this collection is for Master's thesis or PhD dissertations only. Check with your department or Patricia Black at the Valley library for a collection for non-thesis masters projects or research papers. Best, Julie on 2016-06-03T21:01:20Z (GMT)
  • description.provenance : Submitted by Catharina Vijay (vijayc@oregonstate.edu) on 2016-08-10T17:43:38Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) Catharina Vijay.pdf: 985775 bytes, checksum: c7d0289ef1745d9ef08dd46352eacc24 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-08-10T17:44:09Z (GMT) No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) Catharina Vijay.pdf: 985775 bytes, checksum: c7d0289ef1745d9ef08dd46352eacc24 (MD5)
  • description.provenance : Made available in DSpace on 2016-08-10T17:44:53Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5) Catharina Vijay.pdf: 985775 bytes, checksum: c7d0289ef1745d9ef08dd46352eacc24 (MD5) Previous issue date: 2015-11-03

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