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Functional Movement Screening Performance and Association With Key Health Markers in Older Adults.
Farrell, Stephen W; Pavlovic, Andjelka; Barlow, Carolyn E; Leonard, David; DeFina, Joseph R; Willis, Benjamin L; DeFina, Laura F; Haskell, William L.
Afiliação
  • Farrell SW; Research Division, The Cooper Institute, Dallas, Texas; and.
  • Pavlovic A; Research Division, The Cooper Institute, Dallas, Texas; and.
  • Barlow CE; Research Division, The Cooper Institute, Dallas, Texas; and.
  • Leonard D; Research Division, The Cooper Institute, Dallas, Texas; and.
  • DeFina JR; Research Division, The Cooper Institute, Dallas, Texas; and.
  • Willis BL; Research Division, The Cooper Institute, Dallas, Texas; and.
  • DeFina LF; Research Division, The Cooper Institute, Dallas, Texas; and.
  • Haskell WL; Stanford Prevention Research Center, Stanford University, Palo Alto, California.
J Strength Cond Res ; 35(11): 3021-3027, 2021 Nov 01.
Article em En | MEDLINE | ID: mdl-31895281
ABSTRACT
ABSTRACT Farrell, SW, Pavlovic, A, Barlow, CE, Leonard, D, DeFina, JR, Willis, BL, DeFina, LF, and Haskell, WL. Functional movement screening performance and association with key health markers in older adults. J Strength Cond Res 35(11) 3021-3027, 2021-We examined Functional Movement Screening (FMS) performance and associations with key health markers among adults aged 55 years or older. Apparently healthy men (n = 425) and women (n = 158) completed a preventive medical examination between 2013 and 2018. Subjects were grouped by age and sex to determine mean scores for individual FMS items as well as total FMS score. We examined partial correlations between total FMS score and key health markers. We computed odds ratios (ORs) for having a total FMS score ≤14. The mean FMS scores for men and women were 11.7 ± 2.8 and 11.9 ± 2.3, respectively. Several differences were found between men who participated in FMS (takers) compared with FMS nontakers, whereas women FMS takers were generally similar to women FMS nontakers. After controlling for age, sex, and smoking, FMS scores were directly associated with physical activity (PA), cardiorespiratory fitness, frequency of resistance training, serum vitamin D, omega-3 index, low-density lipoprotein, and high-density lipoprotein (HDL)-cholesterol, and were inversely associated with body mass index (BMI), waist circumference (WC), blood glucose, HbA1c, and metabolic syndrome (p ≤ 0.02 for each). Adjusted OR for scoring ≤14 was significantly greater for those who were BMI and WC-obese, those with metabolic syndrome, those with low HDL-cholesterol, and those not meeting current PA guidelines. This study provides characteristics and mean values for FMS in a large older population and demonstrates that FMS performance is associated with key health markers. Prospective studies of older adults are needed to determine the utility of FMS in predicting future musculoskeletal injury and other chronic disease-related health outcomes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Movimento Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Movimento Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article