BACKGROUND: Few have examined predictive relationships between physical activity (PA) and health using electronic health records (EHRs) of patient-reported PA. OBJECTIVE: Assess initial predictive validity of the Physical Activity "Vital Sign" (PAVS) recorded in EHRs with BMI and disease burden. METHODS: EHRs were from November 2011 to November 2013 (n = 34,712). Differences in not meeting Physical Activity Guidelines (PAG) were tested using chi-square analysis between being normal weight versus overweight/obese, and scoring below versus above the 50th percentile of the Charlson Comorbidity Index (CCI). Repeated measures logistic regression was used to determine odds of BMI and CCI classifications according to responses to the PAVS as not meeting PAG. RESULTS: Patients who did not meet PAG according to the PAVS were more likely than normal weight patients to have a higher BMI (BMI 25.0-29.9, OR = 1.19, P = .001; BMI 30.0-34.9, OR = 1.39, P < .0001; BMI 35.0-39.9, OR = 2.42, P < .0001; BMI ≥ 40, OR = 3.7, P < .0001) and also higher disease burden (above 50th percentile for CCI, OR = 1.8, P < .0001). CONCLUSIONS: The strong association of the PAVS found with patient BMI and moderately-strong association with disease burden supports initial predictive validity of the PAVS recorded in EHRs. PA recorded in EHRs may be vastly useful for assessing patient disease and cost burdens attributed independently to PA behavior.
BACKGROUND: Few have examined predictive relationships between physical activity (PA) and health using electronic health records (EHRs) of patient-reported PA. OBJECTIVE: Assess initial predictive validity of the Physical Activity "Vital Sign" (PAVS) recorded in EHRs with BMI and disease burden. METHODS: EHRs were from November 2011 to November 2013 (n = 34,712). Differences in not meeting Physical Activity Guidelines (PAG) were tested using chi-square analysis between being normal weight versus overweight/obese, and scoring below versus above the 50th percentile of the Charlson Comorbidity Index (CCI). Repeated measures logistic regression was used to determine odds of BMI and CCI classifications according to responses to the PAVS as not meeting PAG. RESULTS:Patients who did not meet PAG according to the PAVS were more likely than normal weight patients to have a higher BMI (BMI 25.0-29.9, OR = 1.19, P = .001; BMI 30.0-34.9, OR = 1.39, P < .0001; BMI 35.0-39.9, OR = 2.42, P < .0001; BMI ≥ 40, OR = 3.7, P < .0001) and also higher disease burden (above 50th percentile for CCI, OR = 1.8, P < .0001). CONCLUSIONS: The strong association of the PAVS found with patient BMI and moderately-strong association with disease burden supports initial predictive validity of the PAVS recorded in EHRs. PA recorded in EHRs may be vastly useful for assessing patient disease and cost burdens attributed independently to PA behavior.
Authors: Tyler Beauchamp; Liubov Arbeeva; Rebecca J Cleveland; Yvonne M Golightly; Derek P Hales; David G Hu; Kelli D Allen Journal: J Clin Rheumatol Date: 2022-03-01 Impact factor: 3.902
Authors: Yvonne M Golightly; Kelli D Allen; Kirsten R Ambrose; Jamie L Stiller; Kelly R Evenson; Christiane Voisin; Jennifer M Hootman; Leigh F Callahan Journal: Prev Chronic Dis Date: 2017-11-30 Impact factor: 2.830
Authors: Mark Stoutenberg; Karla I Galaviz; Felipe Lobelo; Elizabeth Joy; Gregory W Heath; Adrian Hutber; Paul Estabrooks Journal: Prev Chronic Dis Date: 2018-05-10 Impact factor: 2.830
Authors: Kelli Allen; Maihan B Vu; Leigh F Callahan; Rebecca J Cleveland; Abigail L Gilbert; Yvonne M Golightly; Ida Griesemer; Kimberlea Grimm; Derek P Hales; David G Hu; Katie Huffman; Amanda E Nelson; Ami Pathak; Jennifer Rees; Zachary D Rethorn; Anne E Wandishin Journal: BMC Musculoskelet Disord Date: 2020-05-16 Impact factor: 2.362