Twenty four‐hour activity cycle in older adults using wrist‐worn accelerometers: The seniors‐ENRICA‐2 study
Objectives This study aimed: (a) to provide a detailed description of sleep, sedentary behavior (SED), light physical activity (LPA), and moderate‐to‐vigorous physical activity (MVPA) over the complete 24‐hours period using raw acceleration data in older adults; and (b) to examine the differences in...
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Veröffentlicht in: | Scandinavian journal of medicine & science in sports 2020-04, Vol.30 (4), p.700-708 |
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Sprache: | eng |
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Zusammenfassung: | Objectives
This study aimed: (a) to provide a detailed description of sleep, sedentary behavior (SED), light physical activity (LPA), and moderate‐to‐vigorous physical activity (MVPA) over the complete 24‐hours period using raw acceleration data in older adults; and (b) to examine the differences in the 24‐hours activity cycle by sex, age, education, and body mass index (BMI).
Methods
Population‐based cohort comprising 3273 community‐dwelling individuals (1739 women), aged 71.8 ± 4.5 years, participating in the Seniors‐ENRICA‐2 study. Participants wore a wrist‐worn ActiGraph GT9X accelerometer for 7 consecutive days, and the raw signal was processed using the R‐package GGIR.
Results
Participants reached 21.5 mg as mean acceleration over the whole day; 32.3% (7.7 h/d) of time was classified as sleep, 53.2% (12.7 h/d) as SED, 10.4% (148.6 min/d) as LPA, and 4.1% (59.0 min/d) as MVPA. No marked differences were found in sleep‐related variables between socio‐demographic and BMI groups. However, women showed higher LPA but lower SED and MVPA than men. Moreover, SED increased whereas LPA and MVPA decreased with age. Participants with obesity (BMI ≥ 30 kg/m2) accumulated more SED and less LPA and MVPA than those without obesity. As expected, adherence to physical activity recommendations varied widely (9.2%‐76.6%) depending on the criterion of MVPA accumulation.
Conclusion
Objective assessment of the 24‐hour activity cycle provides extensive characterization of daily activities distribution in older adults and may inform health‐promotion interventions in this population. Women, the oldest old, and those with obesity offer relevant targets of strategies to improve lifestyle patterns. |
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ISSN: | 0905-7188 1600-0838 |
DOI: | 10.1111/sms.13612 |