BACKGROUND: In light of evidence linking sedentary behaviors to health outcomes, there have been calls for the measurement of sedentary behavior in surveillance studies. This study examined the convergent validity of 2 self-report measures of sitting time and accelerometer-determined sedentary time (minutes/day of <100 counts/minute). METHODS: 44 adults wore an ActiGraph accelerometer for 7 days, during which they also recorded daily sitting time in a diary, in response to a single-item question. After 7 days, participants completed a new domain-specific questionnaire to assess usual weekday and weekend-day sitting time. Total sitting times recorded from the self-report measures were compared with accelerometer-determined sedentary time. RESULTS: Total sitting time calculated from the domain-specific questionnaire did not differ significantly from accelerometer-determined sedentary time on weekdays (mean difference [±SE] = -14 ± 28 mins/day) and weekend days (-4 ± 45 mins/day, both P > .05). Sitting time was significantly underestimated using the single-item specific-day question on weekdays (-173 ± 18 mins/day) and weekend days (-219 ± 23 mins/day, both P < .001). CONCLUSIONS: When assessed via self-report, the estimation of total sitting time is improved by summing sitting times reported across different domains. The continued improvement of self-report measures of sitting time will be important if we are to further our understanding of the links between sedentary behavior and health.
BACKGROUND: In light of evidence linking sedentary behaviors to health outcomes, there have been calls for the measurement of sedentary behavior in surveillance studies. This study examined the convergent validity of 2 self-report measures of sitting time and accelerometer-determined sedentary time (minutes/day of <100 counts/minute). METHODS: 44 adults wore an ActiGraph accelerometer for 7 days, during which they also recorded daily sitting time in a diary, in response to a single-item question. After 7 days, participants completed a new domain-specific questionnaire to assess usual weekday and weekend-day sitting time. Total sitting times recorded from the self-report measures were compared with accelerometer-determined sedentary time. RESULTS: Total sitting time calculated from the domain-specific questionnaire did not differ significantly from accelerometer-determined sedentary time on weekdays (mean difference [±SE] = -14 ± 28 mins/day) and weekend days (-4 ± 45 mins/day, both P > .05). Sitting time was significantly underestimated using the single-item specific-day question on weekdays (-173 ± 18 mins/day) and weekend days (-219 ± 23 mins/day, both P < .001). CONCLUSIONS: When assessed via self-report, the estimation of total sitting time is improved by summing sitting times reported across different domains. The continued improvement of self-report measures of sitting time will be important if we are to further our understanding of the links between sedentary behavior and health.
Authors: Stacy A Clemes; Jonathan Houdmont; Fehmidah Munir; Kelly Wilson; Robert Kerr; Ken Addley Journal: J Public Health (Oxf) Date: 2015-01-07 Impact factor: 2.341
Authors: Fehmidah Munir; Jonathan Houdmont; Stacy Clemes; Kelly Wilson; Robert Kerr; Ken Addley Journal: BMC Public Health Date: 2015-01-29 Impact factor: 3.295
Authors: Stella S Yi; Katherine F Bartley; Melanie J Firestone; Karen K Lee; Donna L Eisenhower Journal: Prev Chronic Dis Date: 2015-05-28 Impact factor: 2.830
Authors: Andrew J Atkin; Trish Gorely; Stacy A Clemes; Thomas Yates; Charlotte Edwardson; Soren Brage; Jo Salmon; Simon J Marshall; Stuart J H Biddle Journal: Int J Epidemiol Date: 2012-10 Impact factor: 7.196