Assessing the "Physical Cliff": Detailed Quantification of Age-Related Differences in Daily Patterns of Physical Activity

Schrack, Jennifer A.; Zipunnikov, Vadim; Goldsmith, Jeff; Bai, Jiawei; Simonsick, Eleanor M.; Crainiceanu, Ciprian; Ferrucci, Luigi

doi:10.1093/gerona/glt199

Cited by 176 publications

(200 citation statements)

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“…The most physically active in all types of physical activity were people aged 22-34, while the least physically active was the category aged 60 and above. These results correspond with the findings of a number of other studies such as Dosedlova et al (2016), Gerovasil, Agaku, Vardavas andFillipidis (2015), Mielgo-Ayusoy et al (2016), Schrack et al (2014), Westerterp (2015). The recommended amount of sports activity in the Czech Republic is not reached by 51% of respondents and 21% do not spend even an hour per week performing sports activities.…”

Section: Discussionsupporting

confidence: 90%

Physical activity as a factor of health-related behaviour in Czech adults

Šindelářová¹,

Dosedlová²

2017

PROSOC

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Physical activity is an important salutoprotective component of health-related behaviour, which delays cardiovascular ageing and prolongs life. The aim of this research is to map the extent of physical activity carried out by adults in the Czech Republic, assess the influence of determinants of physical activity and examine the relationship between physical activity and subjective health complaints. The research sample consisted of 1,263 Czech adult respondents aged 22-93. The volume of physical activity decreases with age. Based on regression analysis, we identified the strongest predictors of physical activity such as age, gender and the personality dimensions of ascendancy and vigour (according to Gordon Personal ProfileInventory (GPP-I)). Men are more physically active than women, yet 51% of all respondents did not meet the minimum recommended amount of sports physical activity. It was confirmed that the higher extent of physical activity reduces the number of health complaints.

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Section: Discussionsupporting

confidence: 90%

Physical activity as a factor of health-related behaviour in Czech adults

Šindelářová¹,

Dosedlová²

2017

PROSOC

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“…Light‐intensity PA (LPA) makes up a growing proportion of the amount of time spent in PA at older age,14, 15 meaning it is also important to identify whether LPA in later life provides cardiovascular benefit or whether higher PA intensities are needed. This is challenged by reliance on poor estimates of PA intensity (especially lower‐intensity PA) obtained from self‐reported data; thus, studies where PA is objectively assessed are needed.…”

Section: Introductionmentioning

confidence: 99%

Physical Activity, Sedentary Time, and Cardiovascular Disease Biomarkers at Age 60 to 64 Years

Elhakeem

Cooper

Whincup

et al. 2018

JAHA

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BackgroundWe examined associations of objectively measured physical activity (PA) and sedentary time with cardiovascular disease biomarkers at age 60 to 64 years. This included investigation of sex differences and the extent to which associations may be mediated by adiposity.Methods and ResultsParticipants were 795 men and 827 women aged 60 to 64 years from the Medical Research Council National Survey of Health and Development. Combined heart rate and movement sensors worn for 5 consecutive days were used to derive overall PA energy expenditure, kJ/kg per day) and time spent sedentary (<1.5 metabolic equivalent of tasks), in light PA (1.5–3 metabolic equivalent of tasks) and moderate‐to‐vigorous intensity PA (>3 metabolic equivalent of tasks). Linear regression models were used to relate each PA parameter to inflammatory (C‐reactive protein, interleukin‐6), endothelial (tissue‐plasminogen activator, E‐selectin) and adipokine (leptin, adiponectin) markers extracted from fasting blood samples. Greater time in light PA and moderate‐to‐vigorous intensity PA and less sedentary time were associated with more favorable biomarker levels. For C‐reactive protein, interleukin‐6, and leptin, these differences were greater among women than men. For example, % differences (95% confidence intervals) in leptin for men and women per SD increases in sedentary time: 7.9 (2.7, 13.0) and 20.6 (15.3, 25.8); moderate‐to‐vigorous intensity PA: −3.8 (−8.9, 12.7) and −17.7 (−23.1, −12.4), moderate‐to‐vigorous intensity PA: −12.9 (−17.9, −8.0) and −18.3 (−23.4, −13.1). Fat mass mediated a greater proportion of these associations in women than men.ConclusionsGreater light PA and moderate‐to‐vigorous intensity PA and less sedentary time in early old age were associated with more favorable cardiovascular biomarker profiles. Fat mass partially mediated these associations but more strongly in women than men, which explained sex differences.

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“…This approach may be especially relevant for patients who are retired, as employment seems to be an important driver for physical activity in middle aged and older people. 24 Advice on how to accumulate time spent in light activity could include getting up from the chair and moving during television commercial breaks, pacing when on the phone, adding gentle five minute walks throughout the day (eg, mid-morning, mid-day, mid-afternoon), and walking rather than driving for short trips. Brief interventions using goal setting and self monitoring have been shown to produce modest decreases in sedentary time.…”

Section: Changing Conversations With Patientsmentioning

confidence: 99%