Sabrina E Noel1,2,3, David J Cornell2,3,4, Xiyuan Zhang3, Julia C Mirochnick5, Josiemer Mattei6, Luis M Falcón3,7, Katherine L Tucker1,3. 1. Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, United States of America. 2. Health Assessment Laboratory, University of Massachusetts Lowell, Lowell, Massachusetts, United States of America. 3. Center for Population Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, United States of America. 4. Department of Physical Therapy and Kinesiology, University of Massachusetts Lowell, Lowell, Massachusetts, United States of America. 5. Department of Public Health, University of Massachusetts Lowell, Lowell, Massachusetts, United States of America. 6. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America. 7. College of Fine Arts, Humanities and Social Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, United States of America.
Abstract
BACKGROUND: Puerto Rican adults have higher odds of peripheral artery disease (PAD) compared with Mexican Americans. Limited studies have examined relationships between clinical risk assessment scores and ABI measures in this population. METHODS: Using 2004-2015 data from the Boston Puerto Rican Health Study (BPRHS) (n = 370-583), cross-sectional, 5-y change, and patterns of change in Framingham Risk Score (FRS) and allostatic load (AL) with ankle brachial index (ABI) at 5-y follow-up were assessed among Puerto Rican adults (45-75 y). FRS and AL were calculated at baseline, 2-y and 5-y follow-up. Multivariable linear regression models were used to examine cross-sectional and 5-y changes in FRS and AL with ABI at 5-y. Latent growth mixture modeling identified trajectories of FRS and AL over 5-y, and multivariable linear regression models were used to test associations between trajectory groups at 5-y. RESULTS: Greater FRS at 5-y and increases in FRS from baseline were associated with lower ABI at 5-y (β = -0.149, P = 0.010; β = -0.171, P = 0.038, respectively). AL was not associated with ABI in cross-sectional or change analyses. Participants in low-ascending (vs. no change) FRS trajectory, and participants in moderate-ascending (vs. low-ascending) AL trajectory, had lower 5-y ABI (β = -0.025, P = 0.044; β = -0.016, P = 0.023, respectively). CONCLUSIONS: FRS was a better overall predictor of ABI, compared with AL. Puerto Rican adults, an understudied population with higher FRS over 5 years, may benefit from intensive risk factor modification to reduce risk of PAD. Additional research examining relationships between FRS and AL and development of PAD is warranted.
BACKGROUND: Puerto Rican adults have higher odds of peripheral artery disease (PAD) compared with Mexican Americans. Limited studies have examined relationships between clinical risk assessment scores and ABI measures in this population. METHODS: Using 2004-2015 data from the Boston Puerto Rican Health Study (BPRHS) (n = 370-583), cross-sectional, 5-y change, and patterns of change in Framingham Risk Score (FRS) and allostatic load (AL) with ankle brachial index (ABI) at 5-y follow-up were assessed among Puerto Rican adults (45-75 y). FRS and AL were calculated at baseline, 2-y and 5-y follow-up. Multivariable linear regression models were used to examine cross-sectional and 5-y changes in FRS and AL with ABI at 5-y. Latent growth mixture modeling identified trajectories of FRS and AL over 5-y, and multivariable linear regression models were used to test associations between trajectory groups at 5-y. RESULTS: Greater FRS at 5-y and increases in FRS from baseline were associated with lower ABI at 5-y (β = -0.149, P = 0.010; β = -0.171, P = 0.038, respectively). AL was not associated with ABI in cross-sectional or change analyses. Participants in low-ascending (vs. no change) FRS trajectory, and participants in moderate-ascending (vs. low-ascending) AL trajectory, had lower 5-y ABI (β = -0.025, P = 0.044; β = -0.016, P = 0.023, respectively). CONCLUSIONS: FRS was a better overall predictor of ABI, compared with AL. Puerto Rican adults, an understudied population with higher FRS over 5 years, may benefit from intensive risk factor modification to reduce risk of PAD. Additional research examining relationships between FRS and AL and development of PAD is warranted.
Authors: Josiemer Mattei; Daniela Sotres-Alvarez; Marc Gellman; Sheila F Castañeda; Frank B Hu; Katherine L Tucker; Anna Maria Siega-Riz; Robert C Kaplan Journal: Clin Nutr Date: 2017-06-08 Impact factor: 7.324
Authors: Mary M McDermott; Jack M Guralnik; Lu Tian; Kiang Liu; Luigi Ferrucci; Yihua Liao; Leena Sharma; Michael H Criqui Journal: J Am Coll Cardiol Date: 2009-03-24 Impact factor: 24.094
Authors: Katherine L Tucker; Josiemer Mattei; Sabrina E Noel; Bridgette M Collado; Jackie Mendez; Jason Nelson; John Griffith; Jose M Ordovas; Luis M Falcon Journal: BMC Public Health Date: 2010-03-01 Impact factor: 3.295
Authors: Crystel M Gijsberts; Karlijn A Groenewegen; Imo E Hoefer; Marinus J C Eijkemans; Folkert W Asselbergs; Todd J Anderson; Annie R Britton; Jacqueline M Dekker; Gunnar Engström; Greg W Evans; Jacqueline de Graaf; Diederick E Grobbee; Bo Hedblad; Suzanne Holewijn; Ai Ikeda; Kazuo Kitagawa; Akihiko Kitamura; Dominique P V de Kleijn; Eva M Lonn; Matthias W Lorenz; Ellisiv B Mathiesen; Giel Nijpels; Shuhei Okazaki; Daniel H O'Leary; Gerard Pasterkamp; Sanne A E Peters; Joseph F Polak; Jacqueline F Price; Christine Robertson; Christopher M Rembold; Maria Rosvall; Tatjana Rundek; Jukka T Salonen; Matthias Sitzer; Coen D A Stehouwer; Michiel L Bots; Hester M den Ruijter Journal: PLoS One Date: 2015-07-02 Impact factor: 3.240