{"id":{"repo_id":"durham","oai_identifier":"oai:etheses.durham.ac.uk:693"},"canonical_url":"https://search.dev.ndltd.org/etd/durham/oai:etheses.durham.ac.uk:693","repository":{"repo_id":"durham","name":"Durham University","base_url":"http://etheses.dur.ac.uk/cgi/oai2"},"display":{"title":"The development and evaluation of a novel online tool for assessing dietary intake and physical activity levels for use in adult populations","abstract":"The Synchronised Nutrition and Activity Program for Adults (SNAPA™) was developed to address the need for accurate, reliable, feasible, inexpensive and low burden methods for measuring diet and physical activity behaviours in free-living adult populations. Usability testing (n=5) identified a number of usability issues and the program was revised accordingly. Test-retest reliability (n=44) revealed no substantial systematic shifts in mean values. Outcome variables were percentage food energy from fat (%fat), number of fruit and vegetable portions (FV), and minutes of moderate to vigorous activity (MVPA). Single measure intra-class correlations (ICC) ranged from 0.62 to 0.72 and average measure ICC range from 0.76 to 0.84. The preliminary method comparison study (n=71) revealed correlations between SNAPA™ and multiple pass recall dietary interview-derived %fat and FV portions of 0.48 (bootstrapped 90% CI 0.31, 0.64) and 0.42 (bootstrapped 90% CI 0.22, 0.60) respectively. The correlation between SNAPA™ and accelerometry-derived MVPA was 0.39 (bootstrapped 90% CI 0.08, 0.64). The in-depth primary method comparison study (n=77) investigated the agreement between SNAPA™ and dietary observation and combined heart rate and accelerometry. The mean match and phantom rates between SNAPA™ and lunchtime dietary observation was 81.7% and 5.6%, respectively. Correlations between SNAPA™ and the reference method outcomes ranged between 0.39 and 0.56. Passing-Bablok (type II) regression analysis revealed both fixed and proportional bias for the estimation of energy intake; proportional bias for fat intake (g); a fixed bias for MVPA, and no substantial biases for %fat or FV portions. SNAPA™ was used to collect diet and physical activity data in a health promotion campaign, ‘Get a Better Life’ (n=1201), providing useful information on the feasibility of using the program in a real-world initiative. SNAPA™ is a promising tool for the surveillance of diet and physical behaviours at a group level in adult populations.","abstract_html":"The Synchronised Nutrition and Activity Program for Adults (SNAPA™) was developed to address the need for accurate, reliable, feasible, inexpensive and low burden methods for measuring diet and physical activity behaviours in free-living adult populations. Usability testing (n=5) identified a number of usability issues and the program was revised accordingly. Test-retest reliability (n=44) revealed no substantial systematic shifts in mean values. Outcome variables were percentage food energy from fat (%fat), number of fruit and vegetable portions (FV), and minutes of moderate to vigorous activity (MVPA). Single measure intra-class correlations (ICC) ranged from 0.62 to 0.72 and average measure ICC range from 0.76 to 0.84. The preliminary method comparison study (n=71) revealed correlations between SNAPA™ and multiple pass recall dietary interview-derived %fat and FV portions of 0.48 (bootstrapped 90% CI 0.31, 0.64) and 0.42 (bootstrapped 90% CI 0.22, 0.60) respectively. The correlation between SNAPA™ and accelerometry-derived MVPA was 0.39 (bootstrapped 90% CI 0.08, 0.64). The in-depth primary method comparison study (n=77) investigated the agreement between SNAPA™ and dietary observation and combined heart rate and accelerometry. The mean match and phantom rates between SNAPA™ and lunchtime dietary observation was 81.7% and 5.6%, respectively. Correlations between SNAPA™ and the reference method outcomes ranged between 0.39 and 0.56. Passing-Bablok (type II) regression analysis revealed both fixed and proportional bias for the estimation of energy intake; proportional bias for fat intake (g); a fixed bias for MVPA, and no substantial biases for %fat or FV portions. SNAPA™ was used to collect diet and physical activity data in a health promotion campaign, ‘Get a Better Life’ (n=1201), providing useful information on the feasibility of using the program in a real-world initiative. SNAPA™ is a promising tool for the surveillance of diet and physical behaviours at a group level in adult populations.","abstract_has_math":false,"creators":["Hillier, Frances"],"institution":"Durham University","degree_name":"PhD","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011","date_published":"2011","updated_at":"2026-07-24T02:11:12Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Hillier, Frances"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011"]},{"key":"dc:date.issued","label":"Date","values":["2011"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Medicine and Health, School of"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Durham University"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://etheses.durham.ac.uk/id/eprint/693/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["PhD"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://etheses.durham.ac.uk/id/eprint/693/1/HillierPhDthesis.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The Synchronised Nutrition and Activity Program for Adults (SNAPA™) was developed to address the need for accurate, reliable, feasible, inexpensive and low burden methods for measuring diet and physical activity behaviours in free-living adult populations. Usability testing (n=5) identified a number of usability issues and the program was revised accordingly. Test-retest reliability (n=44) revealed no substantial systematic shifts in mean values. Outcome variables were percentage food energy from fat (%fat), number of fruit and vegetable portions (FV), and minutes of moderate to vigorous activity (MVPA). Single measure intra-class correlations (ICC) ranged from 0.62 to 0.72 and average measure ICC range from 0.76 to 0.84. The preliminary method comparison study (n=71) revealed correlations between SNAPA™ and multiple pass recall dietary interview-derived %fat and FV portions of 0.48 (bootstrapped 90% CI 0.31, 0.64) and 0.42 (bootstrapped 90% CI 0.22, 0.60) respectively. The correlation between SNAPA™ and accelerometry-derived MVPA was 0.39 (bootstrapped 90% CI 0.08, 0.64). The in-depth primary method comparison study (n=77) investigated the agreement between SNAPA™ and dietary observation and combined heart rate and accelerometry. The mean match and phantom rates between SNAPA™ and lunchtime dietary observation was 81.7% and 5.6%, respectively. Correlations between SNAPA™ and the reference method outcomes ranged between 0.39 and 0.56. Passing-Bablok (type II) regression analysis revealed both fixed and proportional bias for the estimation of energy intake; proportional bias for fat intake (g); a fixed bias for MVPA, and no substantial biases for %fat or FV portions. SNAPA™ was used to collect diet and physical activity data in a health promotion campaign, ‘Get a Better Life’ (n=1201), providing useful information on the feasibility of using the program in a real-world initiative. SNAPA™ is a promising tool for the surveillance of diet and physical behaviours at a group level in adult populations."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["The development and evaluation of a novel online tool for assessing dietary intake and physical activity levels for use in adult populations"]}]}],"canonical_facts":{"dc:creator":["Hillier, Frances"],"dc:date":["2011"],"dc:date.issued":["2011"],"dc:description.abstract":["The Synchronised Nutrition and Activity Program for Adults (SNAPA™) was developed to address the need for accurate, reliable, feasible, inexpensive and low burden methods for measuring diet and physical activity behaviours in free-living adult populations. Usability testing (n=5) identified a number of usability issues and the program was revised accordingly. Test-retest reliability (n=44) revealed no substantial systematic shifts in mean values. Outcome variables were percentage food energy from fat (%fat), number of fruit and vegetable portions (FV), and minutes of moderate to vigorous activity (MVPA). Single measure intra-class correlations (ICC) ranged from 0.62 to 0.72 and average measure ICC range from 0.76 to 0.84. The preliminary method comparison study (n=71) revealed correlations between SNAPA™ and multiple pass recall dietary interview-derived %fat and FV portions of 0.48 (bootstrapped 90% CI 0.31, 0.64) and 0.42 (bootstrapped 90% CI 0.22, 0.60) respectively. The correlation between SNAPA™ and accelerometry-derived MVPA was 0.39 (bootstrapped 90% CI 0.08, 0.64). The in-depth primary method comparison study (n=77) investigated the agreement between SNAPA™ and dietary observation and combined heart rate and accelerometry. The mean match and phantom rates between SNAPA™ and lunchtime dietary observation was 81.7% and 5.6%, respectively. Correlations between SNAPA™ and the reference method outcomes ranged between 0.39 and 0.56. Passing-Bablok (type II) regression analysis revealed both fixed and proportional bias for the estimation of energy intake; proportional bias for fat intake (g); a fixed bias for MVPA, and no substantial biases for %fat or FV portions. SNAPA™ was used to collect diet and physical activity data in a health promotion campaign, ‘Get a Better Life’ (n=1201), providing useful information on the feasibility of using the program in a real-world initiative. 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