Functional performance of older adults: A comparison between men and women

Abreu, Daniela Cristina Carvalho de; Freire, Renato Campos; Porto, Jaqueline Mello; Magnani, Paola; Tofani, Patrícia Silva; Iosimuta, Natália Camargo Rodrigues

doi:10.1080/03630242.2021.1896628

Cited by 6 publications

(5 citation statements)

References 41 publications

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“…Our results corroborate previous studies that demonstrated that 10-CS can be a simple, brief and adequate cognitive function tracker for uneducated or low-educated populations (Carvalho et al, 2021;Aprahamian et al, 2018). In addition, the test is free and does not include visual cues and motor tasks, therefore, they are not disadvantaged in subjects with motor or sensory impairments that are common in old age.…”

Section: Discussionsupporting

confidence: 89%

“…The authors justify the use of other cognitive scales with the hypothesis that there are different mechanisms between the brain and physical functions (Chou et al, 2019). Variables such as female gender, older age, less education, low income, presence of chronic diseases contributes to slower gait speed (Ortiz et al, 2017) (Carvalho et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

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Association of the cognition with grip strength and functional clinical tests in community-dwelling older adults

Santana

Abreu

Porto

et al. 2022

RSD

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Objective: Explore the association of cognitive decline with handgrip strength and performance in clinical functional tests of Brazilian older adults living in the community. Methodology: Cross-sectional study community-dwelling, 101 community-dwelling older adults (45 men and 56 woman) aged 60 years or older with no mobility limitation. Cross-sectional study involving 101 individuals (45 men and 56 woman) aged 60 years or older with no mobility limitation. Cognition was assessed by the 10-point Cognitive Screener (10-CS). Grip strength was assessed using a manual dynamometer. Functional performance was assessed using gait speed (single and double task) and the Timed Up and Go (TUG) test (single and double task). Results: A significant positive association was found between cognition and handgrip strength, gait speed (single and double task), TUG (single and double task), maintaining the association even after adjustments for confounding variables. Conclusion: Decline in cognitive function is associated with low handgrip strength and worse performance in clinical tests of gait speed and TUG with a single and dual task. Prevention of cognitive decline is an important modifiable condition that must be addressed in clinical practice through cognitive-motor training to prevent functional loss and promote healthy aging.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Association of the cognition with grip strength and functional clinical tests in community-dwelling older adults

Santana

Abreu

Porto

et al. 2022

RSD

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“…Numerous articles have included sex-segregated data for muscle groups other than those used for hand gripping (5,10,12,14–16,20,22,26–29,31,33–35,45,48,49,53,55,63,64,68,71,75,77,80,81,82,85,93–95, 100,101,109–112,114–116,126,129,142,144,150,156,160,164,166,168,172,174–176,178,180–182,190,192,194,195,199,202,207,208,212–214,219,224,231,236,238–240,246,247,250,252,253,256–259,261,262,267–269,273–277,286,289,291,293,295–301,305,310,313–315,318,319, 323,325,326,335,338–340,342–344,346–349,351,353,354,365,367,369,370,376,377,379–384,386,390,392,394,396,397,400,401,408,410,411,413–415,417,424,425,427–429,442,443,445,447,449–451,453–455,457,460,462–464,468,470,474–476,481,483,485,486,488–490,492,494–496,498,499,502).…”

Section: Muscle Strengthmentioning

confidence: 99%

Narrative Review of Sex Differences in Muscle Strength, Endurance, Activation, Size, Fiber Type, and Strength Training Participation Rates, Preferences, Motivations, Injuries, and Neuromuscular Adaptations

Nuzzo

2022

Journal of Strength and Conditioning Research

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“…The physical functions of elderly individuals are lower than those of young individuals to varying degrees. Due to social culture, women are more inclined to provide negative evaluations of their own health situation [ 37 ]. This is similar to men’s and women's evaluation of their appearance; generally, men have confidence in their appearance (even if their appearance is not outstanding in the eyes of others), while women still think their image is not perfect even if their image is good in the eyes of others [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Subjective health status: an easily available, independent, robust and significant predictive factor at the prometaphase of vaccination programs for the vaccination behavior of Chinese adults

et al. 2022

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Background The World Health Organization (WHO) proposed COVID-19 vaccination as an emergent and important method to end the COVID-19 pandemic. Since China started vaccination programs in December 2020, vaccination has spread to provinces and municipalities nationwide. Previous research has focused on people's vaccination willingness and its influencing factors but has not examined vaccination behavior. We examine the effectiveness of psychosocial factors in predicting vaccination behavior. Methods A cross-sectional online survey was performed among Chinese adults on 8 May and 4 June 2021. The statistical analysis of the data included univariate analysis, receiver operator characteristics (ROC) analysis and ordinal multiclassification logistic regression model analysis. Results Of the 1300 respondents, 761 (58.5%) were vaccinated. Univariate analysis showed that a high education level and good subjective health status were protective factors for vaccination behavior, while suffering from chronic diseases was a risk factor. ROC analysis showed that subjective health status (AUC = 0.625, 95% CI: 0.594–0.656, P < 0.001) was the best predictor of vaccination behavior. Logistic regression analysis with subjective health status as a dependent variable indicated that older age, female sex, depression, neurasthenia, obsession, hypochondriasis and chronic disease were significant risk factors, while positive coping tendencies were a significant protective factor. Conclusion Our study found a simple and effective marker, subjective health status, that can predict vaccination behavior. This finding can guide future epidemic prevention work.

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Functional performance of older adults: A comparison between men and women

Cited by 6 publications

References 41 publications

Association of the cognition with grip strength and functional clinical tests in community-dwelling older adults

Association of the cognition with grip strength and functional clinical tests in community-dwelling older adults

Narrative Review of Sex Differences in Muscle Strength, Endurance, Activation, Size, Fiber Type, and Strength Training Participation Rates, Preferences, Motivations, Injuries, and Neuromuscular Adaptations

Subjective health status: an easily available, independent, robust and significant predictive factor at the prometaphase of vaccination programs for the vaccination behavior of Chinese adults

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