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Open AccessJournal ArticleDOI

Trajectories of Physical Function Decline and Psychological Functioning: The Québec Longitudinal Study on Nutrition and Successful Aging (NuAge)

TLDR
Physical function significantly declined over 3 years, in particular in the oldest group, and a subtle decline in psychological health paralleled decline in physical function but did not accelerate it.
Abstract
Background. Decline of physical function with age is associated with substantial health consequences. Physical and psychological functioning is linked, but the temporal nature of this association remains unclear. Methods. Three-year follow-up data from men and women (n = 1,741), aged 68–82 years, in the longitudinal study on nutrition and successful aging (NuAge; Quebec, Canada) were used. Growth curve modeling was performed to examine trajectories of a global physical performance score across time as conditioned by cognition and depression. Results. Significant decline in physical function was observed ( p 77 years; age 2 : p < .01) but not affected by slight decline in cognition or depression. Yet, people with lower cognition level and more depressive symptoms show lower physical capacity throughout the entire follow-up period (p < .0001). Conclusions. Physical function significantly declined over 3 years, in particular in the oldest group. A subtle decline in psychological health paralleled decline in physical function but did not accelerate it.

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Sarcopenia

Yu-fei Li, +1 more
Journal ArticleDOI

Consequences of physical inactivity in older adults: A systematic review of reviews and meta-analyses.

TL;DR: This data indicates that physical activity levels decline and health worsens as the authors age, however, estimates of the impact of physical inactivity for population health often fail to specifically focus on older adults.
Journal ArticleDOI

The Dynamic Relationship Between Physical Function and Cognition in Longitudinal Aging Cohorts

TL;DR: A systematic review of English-language research published between 2000 and 2011 to evaluate the relations between rates of change in physical and cognitive functioning in older cohorts found that change in grip strength was more strongly correlated with mental state, while change in walking speed was more heavily correlated with change in fluid cognition.
Journal ArticleDOI

Epidemiology of sarcopenia and insight into possible therapeutic targets

TL;DR: In this review, the current approaching for defining sarcopenia is considered and its epidemiology, pathogenesis, and potential therapeutic opportunities are discussed.
References
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Book

Hierarchical Linear Models: Applications and Data Analysis Methods

TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
Journal ArticleDOI

Hierarchical Linear Models: Applications and Data Analysis Methods.

TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
Journal ArticleDOI

Development and validation of a geriatric depression screening scale: A preliminary report

TL;DR: A new Geriatric Depression Scale (GDS) designed specifically for rating depression in the elderly was tested for reliability and validity and compared with the Hamilton Rating Scale for Depression (HRS-D) and the Zung Self-Rating Depression Scale(SDS) as discussed by the authors.
Journal ArticleDOI

The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons

TL;DR: This study evaluated a modified, timed version of the “Get‐Up and Go” Test (Mathias et al, 1986) in 60 patients referred to a Geriatric Day Hospital and suggested that the timed “Up & Go’ test is a reliable and valid test for quantifying functional mobility that may also be useful in following clinical change over time.
Book

Applied Longitudinal Data Analysis

TL;DR: In this paper, a framework for investigating change over time is presented, where the multilevel model for change is introduced and a framework is presented for investigating event occurrence over time.
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