Twenty four‐hour activity cycle in older adults using wrist‐worn accelerometers: The seniors‐ENRICA‐2 study

Cabanas‐Sánchez, Verónica; Esteban‐Cornejo, Irene; Migueles, Jairo H; Banegas, José R.; Graciani, Auxiliadora; Rodríguez‐Artalejo, Fernando; Martínez‐Gómez, David

doi:10.1111/sms.13612

Cited by 43 publications

(48 citation statements)

References 42 publications

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“…These data confirm the sex differences among older adults reported in the literature [13]. However, our findings are not completely consistent with those of a previous population-based cohort study reporting that women had greater levels of light PA but lower levels of sedentary behavior and moderate-to-vigorous PA than men [21]. A systematic review analyzing the effects of PA levels on the activities of daily living in older adults found the largest health effects for moderate PA, concluding that moderate PA levels may produce the greatest benefits in performing the activities of daily living [22].…”

Section: Discussionsupporting

confidence: 68%

Physical Activity in Older Adults: An Investigation in a Metropolitan Area of Southern Italy

Gallé

Sabella

Molin

et al. 2020

IJERPH

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Physical activity (PA) and exercise are fundamental to maintaining health in older adults. World Health Organization guidelines state that older adults should practice at least 150 min/week of moderate/vigorous intensity PA to obtain health benefits. We assessed PA levels among older adults in southern Italy and evaluated possible associated determinants. The study was carried out between September and November 2019 in the metropolitan area of Bari. We collected information from participants over 65 years using a self-administered questionnaire. We investigated associations between sociodemographic characteristics, health conditions, and inactivity/PA levels. A total of 383 individuals completed the questionnaire. Mean body mass index indicated that 45.4% of participants were overweight. Mean time spent in PA was 476.2 ± 297.8 min/week, with women reporting lower levels than men (370.8 ± 210 vs. 555.2 ± 334.3 min/week, p = 0.08). Weekly sitting time was positively related to age. Attending religious or recreational activities was related to moderate PA. Educational level was positively associated with PA while dog ownership represented an obstacle to achieving recommended PA levels in our population. Participants generally met the recommended levels of PA, especially men; the educational level was the main determinant. Interventions aimed at promoting PA among older adults with lower education levels and women are needed in this setting.

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Section: Discussionsupporting

confidence: 68%

Physical Activity in Older Adults: An Investigation in a Metropolitan Area of Southern Italy

Gallé

Sabella

Molin

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…The Canadian Society for Exercise Physiology has identified 24-hour movement guidelines for children and youth, including recommendations for time spent sleeping, being physically active, participating in structured and unstructured walking activities, and sitting for recreational screen activities (22); however, similar 24-hour movement guidelines for adults have not been established. Despite the lack of guidelines informing 24-hour movement in adults, research-grade activity trackers worn for 24 hours over a period of days still offer an opportunity to understand different patterns of sleep and activity behavior (23)(24)(25). Understanding activity and sleep patterns over 24 hours is informative in a way that is different than measuring different intensities of activity or sleep in isolation.…”

mentioning

confidence: 99%

Twenty‐Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

Feehan

Xie

et al. 2020

Arthritis Care & Research

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Objective. To identify 24-hour activity-sleep profiles in adults with arthritis and explore factors associated with profile membership. Methods. Our study comprised a cross-sectional cohort and used baseline data from 2 randomized trials studying activity counseling for people with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), or knee osteoarthritis (OA). Participants wore activity monitors for 1 week and completed surveys for demographic information, mood (Patient Health Questionnaire 9), and sitting and walking habits (Self-Reported Habit Index). A total of 1,440 minutes/day were stratified into minutes off body (activity unknown), sleeping, resting, nonambulatory, and intermittent or purposeful ambulation. Latent class analysis determined cluster numbers; baseline-category multinomial logit regression identified factors associated with cluster membership. Results. Our cohort included 172 individuals, including 51% with RA, 30% with OA, and 19% with SLE. We identified 4 activity-sleep profiles (clusters) that were characterized primarily by differences in time in nonambulatory activity: high sitters (6.9 hours sleep, 1.6 hours rest, 13.2 hours nonambulatory activity, and 1.6 hours intermittent and 0.3 hours purposeful walking), low sleepers (6.5 hours sleep, 1.2 hours rest, 12.2 hours nonambulatory activity, and 3.3 hours intermittent and 0.6 hours purposeful walking), high sleepers (8.4 hours sleep, 1.9 hours rest, 10.4 hours nonambulatory activity, and 2.5 hours intermittent and 0.3 hours purposeful walking), and balanced activity (7.4 hours sleep, 1.5 hours sleep, 9.4 hours nonambulatory activity, and 4.4 hours intermittent and 0.8 hours purposeful walking). Younger age (odds ratio [OR] 0.95 [95% confidence interval (95% CI) 0.91-0.99]), weaker occupational sitting habit (OR 0.55 [95% CI 0.41-0.76]), and stronger walking outside habit (OR 1.43 [95% CI 1.06-1.91]) were each associated with balanced activity relative to high sitters. Conclusion. Meaningful subgroups were identified based on 24-hour activity-sleep patterns. Tailoring interventions based on 24-hour activity-sleep profiles may be indicated, particularly in adults with stronger habitual sitting or weaker walking behaviors. INTRODUCTION Adults with arthritis may not be able to spend much time in higher intensity physical activities due to activity limitations (1). Consequently, they may not be able to meet the aerobic activity guideline of getting at least 2.5 hours of moderate-to-vigorous physical activity (MVPA) every week (2-5). Arthritis-related pain, fatigue, limited joint and muscle function, or mood disruption may contribute to increased sedentary activity and less walking or impact sleep quality and quantity (1,6-8). Such pain may, in turn, have implications for a person's overall health, as being physically inactive and having insufficient (<6 hours) or excessive (>9 hours) sleep are independently associated with higher risk of all-cause mortality (8-14), including in people with arthritis (15). Supporting someone to be ph...

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“…We performed a cross-sectional analysis of data obtained from the Seniors-ENRICA-II (Study on Nutrition and Cardiovascular Risk in Spain) cohort, among 3,273 community-dwelling individuals aged 64 years or older residing in the city of Madrid and four surrounding towns: Alcalá de Henares, Alcorcón, Getafe, and Torrejón de Ardoz. This cohort followed the same design as the Seniors-ENRICA I [20]. The study participants were selected by random sampling sex-and district-stratified among all individuals with a national healthcare card between 2015 and 2017.…”

Section: Study Design and Participantsmentioning

confidence: 99%

Time-restricted feeding and lower-extremity functioning in community-dwelling older adults

Estrada-deLeón

Struijk

Caballero

et al. 2020

Preprint

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Background: Time-restricted feeding, a specific form of intermittent fasting, has been associated with several possible health benefits including improved body composition, blood lipid levels and extended lifespan. However, it is unknown if time-restricted feeding confers a protective effect on the physical function of older adults. The aim of this study was to assess time-restricted feeding in association with performance-based lower-extremity function (LEF) in a large population of community-dwelling older adults.Methods: Cross-sectional study among 1,226 individuals ≥64 years from the Seniors-ENRICA-II cohort. In 2016-2017, habitual diet was assessed through a validated diet history. Fasting time was classified into the following categories: ≤9, 10-11, and ≥12hours/day, the latter being considered time-restricted feeding. Performance-based LEF was assessed with the Short Physical Performance Battery (SPPB).Results: After adjusting for potential confounders, a longer fasting period was associated with a higher likelihood of impaired LEF [odds ratio (OR) and 95% confidence intervals (CI) for the second and third categories: 2.27 (1.56-3.33); and 2.70 (1.80-4.04), respectively, considering the ≤9 hours/day fasting group as the reference category; p-trend <0.001]. When assessing each SPPB subtest separately, fasting time showed a significant association with balance impairment (OR for highest vs. lowest fasting time: 2.48; 95% CI: 1.51-4.08; p-trend= 0.001) and difficulty to rise from a chair (OR for highest vs. lowest fasting time: 1.47; 95% CI: 1.05-2.06; p-trend= 0.01).Conclusions: Time-restricted feeding was associated with a higher likelihood of impaired LEF, balance impairment, and difficulty to rise from a chair in older adults. These results need to be confirmed in further longitudinal studies.Trial registration: ClinicalTrials.gov NCT03541135. Registered 30 May 2018, retrospectively registered.

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Twenty four‐hour activity cycle in older adults using wrist‐worn accelerometers: The seniors‐ENRICA‐2 study

Cited by 43 publications

References 42 publications

Physical Activity in Older Adults: An Investigation in a Metropolitan Area of Southern Italy

Physical Activity in Older Adults: An Investigation in a Metropolitan Area of Southern Italy

Twenty‐Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

Time-restricted feeding and lower-extremity functioning in community-dwelling older adults

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