FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019757918> ?p ?o ?g. }

• W2019757918 endingPage "1967" @default.
• W2019757918 startingPage "1959" @default.
• W2019757918 abstract "STATEN, L. K., D. L. TAREN, W. H. HOWELL, M. TOBAR, E. T. POEHLMAN, A. HILL, P. M. REID, and C. RITENBAUGH. Validation of the Arizona Activity Frequency Questionnaire using doubly labeled water. Med. Sci. Sports Exerc., Vol. 33, No. 11, 2001, pp. 1959–1967. Purpose: Physical activity questionnaires (PAQs) are considered the most cost-efficient method to estimate total energy expenditure (TEE) in epidemiological studies. However, relatively few PAQs have been validated using doubly labeled water (DLW) in women or in samples with diverse ethnic backgrounds. This study was conducted to validate the Arizona Activity Frequency Questionnaire (AAFQ) for estimation of TEE and physical activity energy expenditure (PAEE) over 1 month using DLW as a reference method. Methods: Thirty-five relatively sedentary women completed the AAFQ before participating in an 8-d DLW protocol to measure TEE. TEE and PAEE were estimated from the AAFQ by calculating resting metabolic rate (RMR) using the equation of Mifflin et al. (AAFQmif), by measuring RMR using indirect calorimetry (AAFQic), and using MET conversion (AAFQmet). A predictive equation for TEE was generated. Results: The mean ± SD for TEE and PAEE from DLW were 9847 ± 2555 kJ·d−1 and 5578 ± 2084 kJ·d−1, respectively. Formulas using RMR to calculate the TEE and PAEE from the AAFQ tended to underestimate TEE and PAEE, whereas those that included only weight tended to overestimate TEE and PAEE. On the basis of the Mifflin et al. equation, the AAFQ tends to underestimate PAEE by 13%. This underestimation may be explained by the low lean body mass of the sample population and by effectiveness of the METs/RMR ratio in the obese. The following predictive equation was calculated: TEE (kJ·d−1) = (86.0 * average total daily METs) + (2.23 * RMRmif) − 6726. When the predictive equation is used, TEE calculated from the AAFQ is highly correlated with DLW TEE (adjusted r2 = 0.70, P < 0.001). Conclusion: The AAFQ is an effective tool for the prediction of TEE and PAEE in epidemiological studies." @default.
• W2019757918 created "2016-06-24" @default.
• W2019757918 creator A5014585788 @default.
• W2019757918 creator A5015481449 @default.
• W2019757918 creator A5023920818 @default.
• W2019757918 creator A5027543868 @default.
• W2019757918 creator A5030391106 @default.
• W2019757918 creator A5049998504 @default.
• W2019757918 creator A5052187963 @default.
• W2019757918 creator A5068715389 @default.
• W2019757918 date "2001-11-01" @default.
• W2019757918 modified "2023-10-01" @default.
• W2019757918 title "Validation of the Arizona Activity Frequency Questionnaire using doubly labeled water" @default.
• W2019757918 cites W12436271 @default.
• W2019757918 cites W1630466630 @default.
• W2019757918 cites W1856237941 @default.
• W2019757918 cites W1866898258 @default.
• W2019757918 cites W1959993644 @default.
• W2019757918 cites W1974792809 @default.
• W2019757918 cites W1984046212 @default.
• W2019757918 cites W1986712265 @default.
• W2019757918 cites W1992409588 @default.
• W2019757918 cites W2015795623 @default.
• W2019757918 cites W2041811148 @default.
• W2019757918 cites W2045065444 @default.
• W2019757918 cites W2055668444 @default.
• W2019757918 cites W2063769800 @default.
• W2019757918 cites W2064489577 @default.
• W2019757918 cites W2081317398 @default.
• W2019757918 cites W2102239109 @default.
• W2019757918 cites W2118391270 @default.
• W2019757918 cites W2127343505 @default.
• W2019757918 cites W2144570435 @default.
• W2019757918 cites W2167851640 @default.
• W2019757918 cites W2329243150 @default.
• W2019757918 cites W3188628058 @default.
• W2019757918 doi "https://doi.org/10.1097/00005768-200111000-00024" @default.
• W2019757918 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/11689750" @default.
• W2019757918 hasPublicationYear "2001" @default.
• W2019757918 type Work @default.
• W2019757918 sameAs 2019757918 @default.
• W2019757918 citedByCount "103" @default.
• W2019757918 countsByYear W20197579182012 @default.
• W2019757918 countsByYear W20197579182013 @default.
• W2019757918 countsByYear W20197579182014 @default.
• W2019757918 countsByYear W20197579182015 @default.
• W2019757918 countsByYear W20197579182016 @default.
• W2019757918 countsByYear W20197579182017 @default.
• W2019757918 countsByYear W20197579182018 @default.
• W2019757918 countsByYear W20197579182019 @default.
• W2019757918 countsByYear W20197579182020 @default.
• W2019757918 countsByYear W20197579182021 @default.
• W2019757918 countsByYear W20197579182023 @default.
• W2019757918 crossrefType "journal-article" @default.
• W2019757918 hasAuthorship W2019757918A5014585788 @default.
• W2019757918 hasAuthorship W2019757918A5015481449 @default.
• W2019757918 hasAuthorship W2019757918A5023920818 @default.
• W2019757918 hasAuthorship W2019757918A5027543868 @default.
• W2019757918 hasAuthorship W2019757918A5030391106 @default.
• W2019757918 hasAuthorship W2019757918A5049998504 @default.
• W2019757918 hasAuthorship W2019757918A5052187963 @default.
• W2019757918 hasAuthorship W2019757918A5068715389 @default.
• W2019757918 hasBestOaLocation W20197579181 @default.
• W2019757918 hasConcept C113098757 @default.
• W2019757918 hasConcept C134018914 @default.
• W2019757918 hasConcept C140793950 @default.
• W2019757918 hasConcept C1862650 @default.
• W2019757918 hasConcept C2910454251 @default.
• W2019757918 hasConcept C2986317502 @default.
• W2019757918 hasConcept C2988147884 @default.
• W2019757918 hasConcept C3020255362 @default.
• W2019757918 hasConcept C33923547 @default.
• W2019757918 hasConcept C71924100 @default.
• W2019757918 hasConcept C82736064 @default.
• W2019757918 hasConcept C86803240 @default.
• W2019757918 hasConceptScore W2019757918C113098757 @default.
• W2019757918 hasConceptScore W2019757918C134018914 @default.
• W2019757918 hasConceptScore W2019757918C140793950 @default.
• W2019757918 hasConceptScore W2019757918C1862650 @default.
• W2019757918 hasConceptScore W2019757918C2910454251 @default.
• W2019757918 hasConceptScore W2019757918C2986317502 @default.
• W2019757918 hasConceptScore W2019757918C2988147884 @default.
• W2019757918 hasConceptScore W2019757918C3020255362 @default.
• W2019757918 hasConceptScore W2019757918C33923547 @default.
• W2019757918 hasConceptScore W2019757918C71924100 @default.
• W2019757918 hasConceptScore W2019757918C82736064 @default.
• W2019757918 hasConceptScore W2019757918C86803240 @default.
• W2019757918 hasIssue "11" @default.
• W2019757918 hasLocation W20197579181 @default.
• W2019757918 hasLocation W20197579182 @default.
• W2019757918 hasLocation W20197579183 @default.
• W2019757918 hasOpenAccess W2019757918 @default.
• W2019757918 hasPrimaryLocation W20197579181 @default.
• W2019757918 hasRelatedWork W173192175 @default.
• W2019757918 hasRelatedWork W1988023697 @default.
• W2019757918 hasRelatedWork W1988137575 @default.
• W2019757918 hasRelatedWork W2028284802 @default.
• W2019757918 hasRelatedWork W2047607001 @default.

• next