Are Older Adults Physically Active Enough – A Matter of Assessment Method? The Generation 100 Study

Aspvik, Nils Petter; Viken, Hallgeir; Zisko, Nina; Ingebrigtsen, Jan Erik; Wisløff, Ulrik; Stensvold, Dorthe

doi:10.1371/journal.pone.0167012

Cited by 19 publications

(17 citation statements)

References 41 publications

(68 reference statements)

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“…Poor weather conditions might augment these concerns and thereby reduce outdoor PA among this age group. Notably, outdoor recreational walking is the most common PA type among older adults in Norway [ 13 ]. This might be a reasonable explanation as to why the weather, in the current study, explained more of the variance in PA in warmer versus the colder months.…”

Section: Discussionmentioning

confidence: 99%

“…Based upon a previous study in this population [ 13 ], the participants in the current study was categorized into unfit (25% lowest; Males <27.0 mL·kg -1 ·min -1 , females <23.6 mL·kg -1 ·min -1 ), moderately fit (50% medium; males 27.0–35.6 mL·kg -1 ·min -1 , females 23.6–29.8 mL·kg -1 ·min -1 ), and highly fit (25% highest; males high >35.6 mL·kg -1 ·min -1 , females high >29.8 mL·kg -1 ·min -1 ) individuals.…”

Section: Methodsmentioning

confidence: 99%

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Do weather changes influence physical activity level among older adults? – The Generation 100 study

et al. 2018

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IntroductionUnderstanding how individual and environmental factors impact physical activity (PA) level is important when building strategies to improve PA of older adults. No studies have examined how hour-to-hour weather changes influence PA in older adults or how the association between weather and PA eventually is related to cardiorespiratory fitness (CRF) measured as peak oxygen uptake. The aim of this study was therefore to examine how hour-to-hour changes in weather effects hour-to-hour PA in a cohort of Norwegian older adults across CRF levels, gender and seasons.MethodsPA was assessed objectively in 1219 older adults (70–77 years, 51% females) using the Actigraph GT3X+ accelerometer, and quantified as counts·min-1 (CPM). Weather (Norwegian meteorological Institute) and CRF (MetaMax II) were measured objectively. Panel data analysis added a longitudinal dimension when 110.888 hours of weather- and PA data were analyzed.ResultsOlder adults had a higher PA level in warmer (597 CPM) than colder months (556 CPM) (p<0.01). Fixed effects regression-models revealed that increasing temperatures (per hour) influenced PA positively in both colder and warmer months (all, p<0.01), with greater influence in fitter vs. less fit participants (p<0.01). In warmer months, increasing precipitation negatively influenced PA in both unfit females and unfit males (p<0.01). In colder months, increasing precipitation positively influenced PA for moderately fit to fit males (p<0.01), but not for females and unfit males.ConclusionTo the best of our knowledge, this is the first study to examine the association between weather conditions and objectively-measured-PA among Norwegian older adults. Our findings demonstrates that unfit older adults will be less likely to participate in PA when the weather is unpleasant, compared to those highly fit. The data suggests that the impact of weather should not be ignored when planning public health strategies for increasing PA among older adults.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Do weather changes influence physical activity level among older adults? – The Generation 100 study

et al. 2018

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“…Studies that aimed to improve the insight into the preventive role of objectively measured PA and health‐related conditions at older ages have applied thresholds validated in healthy young adults for PA intensity categorization . This could have led to inaccuracy and misclassification of actual PA behaviours, generating an overestimation of SB and underestimation of actual PA, due to differences in energy cost of a given activity in older adults, when compared with younger cohorts . It has already been demonstrated that using classical younger adults' cut‐points when exploring older adults' PA patterns can artificially decrease PA adherence rates among older adults and that PA estimates vary notably depending upon the cut‐points used …”

Section: Introductionmentioning

confidence: 99%

“…8,9 This could have led to inaccuracy and misclassification of actual PA behaviours, generating an overestimation of SB 10 and underestimation of actual PA, 11 due to differences in energy cost of a given activity in older adults, when compared with younger cohorts. 12 It has already been demonstrated that using classical younger adults' cut-points when exploring older adults' PA patterns can artificially decrease PA adherence rates among older adults 12,13 and that PA estimates vary notably depending upon the cut-points used. 14 Recently, isotemporal substitution models were introduced to the analysis of PA data.…”

Section: Introductionmentioning

confidence: 99%

Sedentary behaviour, physical activity, and sarcopenia among older adults in the TSHA: isotemporal substitution model

Sánchez‐Sánchez

Mañas

García‐García

et al. 2019

J cachexia sarcopenia muscle

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Background The associations between free‐living physical activity (PA) and sedentary behaviour (SB) and sarcopenia in older people and its determinants are controversial. Self‐reporting, the use of one‐size‐fits‐all cut‐points for intensity categorization when using accelerometers and the absence of a clear sarcopenia definition hampered explorations. The aim of this study is to describe the associations between objectively measured PA patterns and sarcopenia and its determinants. Methods Subjects aged >65 with valid accelerometry and sarcopenia‐related measures from Toledo Study of Healthy Aging (TSHA) were included. Muscle mass (MM) was estimated by dual‐energy X‐ray absorptiometry. Handgrip strength (HS) was measured by dynamometry. Physical performance assessment relied on gait speed (GS). Sarcopenia presence was ascertained using Foundation for the National Institutes of Health (FNIH) criteria. PA and SB were estimated by ActiTrainer worn for 1 week and classified into time spent in SB and different PA intensity bands [light PA (LPA) and moderate‐to‐vigorous PA (MVPA)] using age‐specific cut‐points. Different multivariate linear and logistic regression models [(i) single‐parameter, (ii) partition, and (iii) isotemporal substitution models] were used for estimating associations between PA, SB, and sarcopenia determinants and sarcopenia rates, respectively. All models adjusted for age, sex, co‐morbidities (Charlson index), and functional ability (Katz and Lawton indexes). Results Five hundred twelve subjects from the TSHA had available data (78.08 ± 5.71 years of age; 54.3% women). FNIH sarcopenia assessment was performed in 497 subjects (23.3% were sarcopenic). In the linear regression, the single‐parameter model showed an association between MVPA and all sarcopenia determinants. In the partition model, MVPA was associated with greater MM and GS. The isotemporal substitution showed that reallocating 1 h/day of MVPA displacing SB was associated with greater values in MM [ β = 0.014; 95% confidence interval (CI) = 0.004, 0.024; P < 0.01], GS ( β = 0.082; 95% CI = 0.054, 0.110; P < 0.001), and HS ( β = 0.888; 95% CI = 0.145, 1.631; P < 0.05). In the logistic regression, the single‐parameter model yielded a significant association between 1 h/day increase in MVPA and sarcopenia reduction [odds ratio (OR) = 0.522; 95% CI = 0.367, 0.726; P < 0.001], as did the partition model (OR = 0.555; 95% CI = 0.376, 0.799; P < 0.01). The reallocation of 1 h/day SB only yielded a significant lower sarcopenia risk by almost 50% when it was substituted with MVPA, whereas the substitution of 15 min/day yielded a significant lower sarcopenia risk by 15% ( P < 0.001) but did not show any association...

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“…The confirmation of being notified of acceptance for the wait‐list might create a period of optimism and life satisfaction (ceiling effect), but this should have been similar for both genders. It is possible that the reduction in physical function and the loss of freedom is experienced differently for men than women in this elderly population . Both genders experience a worsened HRQoL during the first year on the waiting list suggesting that the waiting time and the reduced kidney function may itself be a burden …”

Section: Discussionmentioning

confidence: 99%

Changes in health‐related quality of life in older candidates waiting for kidney transplantation

et al. 2018

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Are Older Adults Physically Active Enough – A Matter of Assessment Method? The Generation 100 Study

Cited by 19 publications

References 41 publications

Do weather changes influence physical activity level among older adults? – The Generation 100 study

Do weather changes influence physical activity level among older adults? – The Generation 100 study

Sedentary behaviour, physical activity, and sarcopenia among older adults in the TSHA: isotemporal substitution model

Changes in health‐related quality of life in older candidates waiting for kidney transplantation

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