Dynapenia and Low Cognition: A Cross-Sectional Association in Postmenopausal Women.
Julie A PascoAmanda L StuartSophia X SuiKara L Holloway-KewNatalie K HydeMonica C TemboPamela Rufus-MembereMark A KotowiczLana J WilliamsPublished in: Journal of clinical medicine (2021)
Dynapenia is a key contributor to physical frailty. Cognitive impairment and dementia accompany frailty, yet links between skeletal muscle and neurocognition are poorly understood. We examined the cross-sectional relationship between lower limb muscle strength and global cognitive function. Participants were 127 women aged 51-87 years, from the Geelong Osteoporosis Study. Peak eccentric strength of the hip-flexors and hip abductors was determined using a hand-held dynamometer, and dynapenia identified as muscle strength t-scores < -1. Cognition was assessed using the Mini-Mental State Examination (MMSE), and MMSE scores below the median were rated as low. Associations between dynapenia and low cognition were examined using logistic regression models. Hip-flexor dynapenia was detected in 38 (71.7%) women with low cognition and 36 (48.7%) with good cognition (p = 0.009); for hip abductor dynapenia, the pattern was similar (21 (39.6%) vs. 9 (12.2%); p < 0.001). While the observed difference for hip-flexor strength was attenuated after adjusting for age and height (adjusted Odds Ratio (OR) 1.95, 95%CI 0.86-4.41), low cognition was nearly 4-fold more likely in association with hip abductor dynapenia (adjusted OR 3.76, 95%CI 1.44-9.83). No other confounders were identified. Our data suggest that low strength of the hip abductors and low cognition are associated and this could be a consequence of poor muscle function contributing to cognitive decline or vice versa. As muscle weakness is responsive to physical interventions, this warrants further investigation.
Keyphrases
- mild cognitive impairment
- cognitive decline
- postmenopausal women
- skeletal muscle
- total hip arthroplasty
- white matter
- bone mineral density
- cross sectional
- physical activity
- mental health
- multiple sclerosis
- body mass index
- insulin resistance
- metabolic syndrome
- big data
- body composition
- polycystic ovary syndrome
- cervical cancer screening