OBJECTIVES: Our objectives were to determine whether peripheral quantitative computed tomography (pQCT)-derived lower leg muscle density and area, and basic functional mobility differ between community-dwelling older women who do and do not report recent falls. DESIGN: Matched case-control comparison. SETTING: Academic biomedical imaging laboratory. PARTICIPANTS: 147 Women, 60 years or older (mean age 74.3 y, SD 7.7) recruited from a longitudinal, population-based cohort representing community-dwelling residents in the area of Saskatoon, Canada. MEASUREMENTS: A cross-sectional pQCT scan of the non-dominant lower leg was acquired to determine muscle density and area. Basic functional mobility (Timed Up and Go Test [TUG]) and SF36 health status were also measured. Fallers (one or more falls) and non-fallers (no falls) were grouped according to a 12-month retrospective survey and matched on measured covariates. RESULTS: The muscle density of fallers (n = 35) was a median of 2.1 mg/cm3 lower (P = 0.019, 95% C.I. -3.9 to -0.1) than non-fallers (n = 78) after matching and adjusting for age, body mass index, and SF36 general health scores. Muscle area and TUG did not differ between fallers and non-fallers. CONCLUSIONS: Muscle density may serve as a physiological marker in the assessment of lower leg muscular health and fall risk in community-dwelling elderly women. These results are limited to our study population who were mostly Caucasian. Prospective studies are required for verification.
OBJECTIVES: Our objectives were to determine whether peripheral quantitative computed tomography (pQCT)-derived lower leg muscle density and area, and basic functional mobility differ between community-dwelling older women who do and do not report recent falls. DESIGN: Matched case-control comparison. SETTING: Academic biomedical imaging laboratory. PARTICIPANTS: 147 Women, 60 years or older (mean age 74.3 y, SD 7.7) recruited from a longitudinal, population-based cohort representing community-dwelling residents in the area of Saskatoon, Canada. MEASUREMENTS: A cross-sectional pQCT scan of the non-dominant lower leg was acquired to determine muscle density and area. Basic functional mobility (Timed Up and Go Test [TUG]) and SF36 health status were also measured. Fallers (one or more falls) and non-fallers (no falls) were grouped according to a 12-month retrospective survey and matched on measured covariates. RESULTS: The muscle density of fallers (n = 35) was a median of 2.1 mg/cm3 lower (P = 0.019, 95% C.I. -3.9 to -0.1) than non-fallers (n = 78) after matching and adjusting for age, body mass index, and SF36 general health scores. Muscle area and TUG did not differ between fallers and non-fallers. CONCLUSIONS: Muscle density may serve as a physiological marker in the assessment of lower leg muscular health and fall risk in community-dwelling elderly women. These results are limited to our study population who were mostly Caucasian. Prospective studies are required for verification.
Authors: Bret H Goodpaster; Peter Chomentowski; Bryan K Ward; Andrea Rossi; Nancy W Glynn; Matthew J Delmonico; Stephen B Kritchevsky; Marco Pahor; Anne B Newman Journal: J Appl Physiol (1985) Date: 2008-09-25
Authors: Kristen M Beavers; Fang-Chi Hsu; Denise K Houston; Daniel P Beavers; Tamara B Harris; Trisha F Hue; Lauren J Kim; Annemarie Koster; Brenda W Penninx; Eleanor M Simonsick; Elsa S Strotmeyer; Stephen B Kritchevsky; Barbara J Nicklas Journal: J Gerontol A Biol Sci Med Sci Date: 2012-10-29 Impact factor: 6.053
Authors: Sharon L Rowan; Karolina Rygiel; Fennigje M Purves-Smith; Nathan M Solbak; Douglas M Turnbull; Russell T Hepple Journal: PLoS One Date: 2012-01-03 Impact factor: 3.240
Authors: Mark C Perry; Serena F Carville; I Christopher H Smith; Olga M Rutherford; Di J Newham Journal: Eur J Appl Physiol Date: 2006-07-18 Impact factor: 3.346
Authors: A W Frank-Wilson; J P Farthing; P D Chilibeck; C M Arnold; K S Davison; W P Olszynski; S A Kontulainen Journal: Osteoporos Int Date: 2016-02-15 Impact factor: 4.507
Authors: D Scott; M S Park; T N Kim; J Y Ryu; H C Hong; H J Yoo; S H Baik; G Jones; K M Choi Journal: J Nutr Health Aging Date: 2016-03 Impact factor: 4.075
Authors: Serghei Malkov; Peggy M Cawthon; Kathy Wilt Peters; Jane A Cauley; Rachel A Murphy; Marjolein Visser; Joseph P Wilson; Tamara Harris; Suzanne Satterfield; Steve Cummings; John A Shepherd Journal: J Bone Miner Res Date: 2015-05-21 Impact factor: 6.741
Authors: Joshua F Baker; Sogol Mostoufi-Moab; Jin Long; Babette Zemel; Said Ibrahim; Elena Taratuta; Mary B Leonard Journal: Arthritis Care Res (Hoboken) Date: 2018-11-02 Impact factor: 4.794
Authors: C D Moore; B C Craven; L Thabane; A C Laing; A W Frank-Wilson; S A Kontulainen; A Papaioannou; J D Adachi; L M Giangregorio Journal: J Musculoskelet Neuronal Interact Date: 2015-03 Impact factor: 2.041
Authors: David Scott; Catherine Shore-Lorenti; Lachlan B McMillan; Jakub Mesinovic; Ross A Clark; Alan Hayes; Kerrie M Sanders; Gustavo Duque; Peter R Ebeling Journal: J Musculoskelet Neuronal Interact Date: 2018-03-01 Impact factor: 2.041