BACKGROUND: Physical inactivity plays an important role in the development of kidney disease and its complications; however, the validity of standard tools for measuring physical activity (PA) is not well understood. STUDY DESIGN: We investigated the performance of several readily available and widely used PA and physical function questionnaires, individually and in combination, against accelerometry among a cohort of chronic kidney disease (CKD) participants. SETTING AND PARTICIPANTS: Forty-six participants from the Seattle Kidney Study, an observational cohort study of persons with CKD, completed the Physical Activity Scale for the Elderly, Human Activity Profile (HAP), Medical Outcomes Study SF-36 questionnaire, and the Four-week Physical Activity History questionnaires. We simultaneously measured PA using an Actigraph GT3X accelerometer during a 14-day period. We estimated the validity of each instrument by testing its associations with log-transformed accelerometry counts. We used the Akaike information criterion to investigate the performance of combinations of questionnaires. RESULTS: All questionnaire scores were significantly associated with log-transformed accelerometry counts. The HAP correlated best with accelerometry counts (r(2) = 0.32) followed by SF-36 (r(2) = 0.23). Forty-three percent of the variability in accelerometry counts data was explained by a model that combined the HAP, SF-36, and Four-week Physical Activity History questionnaires. CONCLUSION: A combination of measurement tools can account for a modest component of PA in patients with CKD; however, a substantial proportion of PA is not captured by standard assessments.
BACKGROUND: Physical inactivity plays an important role in the development of kidney disease and its complications; however, the validity of standard tools for measuring physical activity (PA) is not well understood. STUDY DESIGN: We investigated the performance of several readily available and widely used PA and physical function questionnaires, individually and in combination, against accelerometry among a cohort of chronic kidney disease (CKD) participants. SETTING AND PARTICIPANTS: Forty-six participants from the Seattle Kidney Study, an observational cohort study of persons with CKD, completed the Physical Activity Scale for the Elderly, Human Activity Profile (HAP), Medical Outcomes Study SF-36 questionnaire, and the Four-week Physical Activity History questionnaires. We simultaneously measured PA using an Actigraph GT3X accelerometer during a 14-day period. We estimated the validity of each instrument by testing its associations with log-transformed accelerometry counts. We used the Akaike information criterion to investigate the performance of combinations of questionnaires. RESULTS: All questionnaire scores were significantly associated with log-transformed accelerometry counts. The HAP correlated best with accelerometry counts (r(2) = 0.32) followed by SF-36 (r(2) = 0.23). Forty-three percent of the variability in accelerometry counts data was explained by a model that combined the HAP, SF-36, and Four-week Physical Activity History questionnaires. CONCLUSION: A combination of measurement tools can account for a modest component of PA in patients with CKD; however, a substantial proportion of PA is not captured by standard assessments.
Authors: Matthew P Buman; Eric B Hekler; William L Haskell; Leslie Pruitt; Terry L Conway; Kelli L Cain; James F Sallis; Brian E Saelens; Lawrence D Frank; Abby C King Journal: Am J Epidemiol Date: 2010-09-15 Impact factor: 4.897
Authors: Charles E Matthews; Kong Y Chen; Patty S Freedson; Maciej S Buchowski; Bettina M Beech; Russell R Pate; Richard P Troiano Journal: Am J Epidemiol Date: 2008-02-25 Impact factor: 4.897
Authors: Marquis S Hawkins; Mary Ann Sevick; Caroline R Richardson; Linda F Fried; Vincent C Arena; Andrea M Kriska Journal: Med Sci Sports Exerc Date: 2011-08 Impact factor: 5.411
Authors: Lisa Forsén; Nina Waaler Loland; Anne Vuillemin; Mai J M Chinapaw; Mireille N M van Poppel; Lidwine B Mokkink; Willem van Mechelen; Caroline B Terwee Journal: Sports Med Date: 2010-07-01 Impact factor: 11.136
Authors: Cassianne Robinson-Cohen; Ronit Katz; Dariush Mozaffarian; Lorien S Dalrymple; Ian de Boer; Mark Sarnak; Mike Shlipak; David Siscovick; Bryan Kestenbaum Journal: Arch Intern Med Date: 2009-12-14
Authors: Cassianne Robinson-Cohen; Alyson J Littman; Glen E Duncan; Noel S Weiss; Michael C Sachs; John Ruzinski; John Kundzins; Denise Rock; Ian H de Boer; T Alp Ikizler; Jonathan Himmelfarb; Bryan R Kestenbaum Journal: J Am Soc Nephrol Date: 2013-12-12 Impact factor: 10.121
Authors: Astrid M Suchy-Dicey; Thomas Laha; Andrew Hoofnagle; Rick Newitt; Tammy L Sirich; Timothy W Meyer; Ken E Thummel; N David Yanez; Jonathan Himmelfarb; Noel S Weiss; Bryan R Kestenbaum Journal: J Am Soc Nephrol Date: 2015-11-27 Impact factor: 10.121
Authors: Simon Hsu; Leila R Zelnick; Yvonne S Lin; Cora M Best; Bryan Kestenbaum; Kenneth E Thummel; Lynn M Rose; Andrew N Hoofnagle; Ian H de Boer Journal: J Am Soc Nephrol Date: 2020-10-28 Impact factor: 14.978
Authors: J C Kim; B B Shapiro; M Zhang; Y Li; J Porszasz; R Bross; U Feroze; R Upreti; K Kalantar-Zadeh; J D Kopple Journal: J Cachexia Sarcopenia Muscle Date: 2014-04-29 Impact factor: 12.910