Sedentary Behavior, Physical Activity, and Markers of Health in Older Adults

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

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The Role of Physical Activity and Sedentary Behavior in Predicting Daily Pain and Fatigue in Older Adults: a Diary Study

Annals of Behavioral Medicine ◽

10.1007/s12160-017-9921-1 ◽

2017 ◽

Vol 52 (1) ◽

pp. 19-28 ◽

Cited By ~ 7

Author(s):

Saengryeol Park ◽

Cecilie Thøgersen-Ntoumani ◽

Jet J C S Veldhuijzen van Zanten ◽

Nikos Ntoumanis

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Diary Study ◽

Daily Pain

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Walkable Urban Design Attributes and Japanese Older Adults’ Body Mass Index: Mediation Effects of Physical Activity and Sedentary Behavior

American Journal of Health Promotion ◽

10.1177/0890117118814385 ◽

2018 ◽

Vol 33 (5) ◽

pp. 764-767 ◽

Cited By ~ 7

Author(s):

Mohammad Javad Koohsari ◽

Andrew T. Kaczynski ◽

Tomoki Nakaya ◽

Ai Shibata ◽

Kaori Ishii ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Body Mass Index ◽

Population Density ◽

Sedentary Behavior ◽

Urban Design ◽

Mediation Effects ◽

Design Attributes ◽

Walk Score ◽

Japanese Older Adults

Purpose: The purposes of this study were to examine associations between objectively measured walkable urban design attributes with Japanese older adults’ body mass index (BMI) and to test whether objectively assessed physical activity and sedentary behavior mediated such associations. Design: Cross-sectional. Setting: Matsudo City, Chiba Prefecture, Japan. Participants: Participants were 297 older residents (aged 65-84 years) randomly selected from the registry of residential addresses. Measures: Walkable urban design attributes, including population density, availability of physical activity facilities, intersection density, and access to public transportation stations, were calculated using geographic information systems. Physical activity, sedentary behavior, and BMI were measured objectively. Analysis: The relationships of walkable urban design attributes, Walk Score®, and BMI were examined by multiple linear regression with adjustment for covariates in all models. Mediation effects of the physical activity and sedentary behavior variables in these relationships were tested using a product-of-coefficients test. Results: Higher population density and Walk Score® were associated with lower BMI. Light and moderate-to-vigorous physical activities partially mediated the relationships between these walkable urban design attributes and BMI. Conclusions: Developing active-friendly environmental policies to (re)design neighborhoods may not only promote active transport behaviors but also help in improving residents’ health status in non-Western contexts.

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Ecological Momentary Assessment Is a Feasible and Valid Methodological Tool to Measure Older Adults’ Physical Activity and Sedentary Behavior

Frontiers in Psychology ◽

10.3389/fpsyg.2018.01485 ◽

2018 ◽

Vol 9 ◽

Cited By ~ 22

Author(s):

Jaclyn P. Maher ◽

Amanda L. Rebar ◽

Genevieve F. Dunton

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Ecological Momentary Assessment ◽

Methodological Tool ◽

Ecological Momentary ◽

Momentary Assessment

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Abstract MP01: Association of Objectively-measured Physical Activity with Cardiovascular Risk in Mobility-limited Older Adults

Circulation ◽

10.1161/circ.129.suppl_1.mp01 ◽

2014 ◽

Vol 129 (suppl_1) ◽

Author(s):

Thomas W Buford ◽

Don G Hire ◽

Walter T Ambrosius ◽

Stephen D Anton ◽

Timothy S Church ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Risk Score ◽

Activity Data ◽

Mean Intensity ◽

Wear Time ◽

Low Intensity ◽

Objectively Measured ◽

The Impact

Introduction: In middle-aged adults, time spent being sedentary is associated with cardiovascular (CV) health risks independent of structured physical activity (PA). However, data are sparse regarding the impact of sedentary behavior on CV risk in older adults. The extent to which the absolute duration or intensity of daily PA reduces CV risk in older adults is also unknown. Objectives: Our objective was to examine the cross-sectional association between objectively-measured sedentary behavior and predicted CV risk among older adults in the Lifestyle Interventions and Independence for Elders (LIFE) study. The secondary objective was to evaluate associations between the duration/intensity of daily PA and predicted CV risk. Methods: LIFE is a randomized clinical trial to determine if regular PA prevents mobility disability among mobility-limited older adults. Activity data were collected by hip-worn accelerometer at baseline prior to participation in study interventions. Only participants with at least three days of accelerometry data (≥ 10 hrs wear time) were included. Unadjusted and adjusted linear regression was used to model the relationship between accelerometry measures and predicted 10-year Framingham risk of Hard Coronary Heart Disease (HCHD; i.e. myocardial infarction or coronary death). Adjusted models included demographic confounders (e.g. education, race, income) and health parameters (e.g. depression, cognition, arthritis) not in the risk score. Accelerometry cut-points were (in counts/min): sedentary behavior: < 100; low-intensity activity: 100-499; higher intensity activity: > 500. Results: Participants (n = 1170; 78.7 ± [SD] 5.3 years; 66.1% female) had a median HCHD risk of 10.3% (25 th -75 th %: 5.7-18.6). Over a mean accelerometer wear time of 8.1 ± 3.2 days, participants spent 77.0 ± 8.2% of their time sedentary. They also spent 16.6 ± 5.0% of their time in low-intensity PA and 6.4 ± 4.4% in higher-intensity PA. For all PA performed (> 100 counts/min), participants achieved a median of 393.4 (337.8-473.5) counts/min. In the unadjusted model, time spent sedentary (β = 2.41; 95% CI : 1.94, 2.89), in low-intensity PA (-2.56; -3.03, -2.08), and in higher-intensity PA (-1.60; -2.09, -1.11) were all associated with HCHD risk (all p’s < 0.001). These associations remained significant after adjustment. The mean intensity of daily PA was not significantly associated with HCHD risk in any model (p > 0.05). Conclusions: Daily time spent being sedentary is positively associated with predicted 10-year HCHD risk among mobility-limited older adults. Duration, but not mean intensity, of daily PA is inversely associated with HCHD risk score in this population.

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Impact of Social Isolation on Physical Activity and Factors Associated With Sedentary Behavior in Older Adults During the COVID-19 Pandemic

Journal of Aging and Physical Activity ◽

10.1123/japa.2020-0456 ◽

2021 ◽

pp. 1-5

Author(s):

Giovana Z. Mazo ◽

Felipe Fank ◽

Pedro S. Franco ◽

Bruna da Silva Vieira Capanema ◽

Franciele da Silva Pereira

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Social Isolation ◽

Low Income ◽

Low Income Countries ◽

Moderate Physical Activity ◽

Cross Sectional ◽

Factors Associated ◽

The Impact

The objective was to analyze the impact of social isolation on moderate physical activity and factors associated with sedentary behavior of older adults during the COVID-19 pandemic. This was a cross-sectional study involving 111 older adults (aged 71.0 ± 6.87 years). The data were collected at two time points: in November 2019 and in June 2020. There was a decline in moderate physical activity when the minutes/week were compared before and during social isolation (p < .001). Sedentary behavior was associated with the condition of living alone. Older adults who lived alone were 3.29 times more likely to spend 4 hr or more in sedentary behavior than those who lived with a partner (95% confidence interval [1.01, 10.74]). Government agencies must establish PA-related health promotion strategies, especially in developing and low-income countries. Therefore, home exercises need to be encouraged to prevent the consequences of this pandemic period.

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Sedentary Behavior, Physical Activity, and Psychological Health of Korean Older Adults with Hypertension: Effect of an Empowerment Intervention

Research in Gerontological Nursing ◽

10.3928/19404921-20121219-01 ◽

2013 ◽

Vol 6 (2) ◽

pp. 81-88 ◽

Cited By ~ 26

Author(s):

Ae Kyung Chang ◽

Cynthia Fritschi ◽

Mi Ja Kim

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Psychological Health

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Value of Physical Activity and Sedentary Behavior in Predicting Depression in Older Adults

Journal of the American Geriatrics Society ◽

10.1111/jgs.14002 ◽

2016 ◽

Vol 64 (3) ◽

pp. 647-649 ◽

Cited By ~ 4

Author(s):

Sanne Wassink-Vossen ◽

Eric O. Noorthoorn ◽

Rose M. Collard ◽

Hannie C. Comijs ◽

Richard C. Oude Voshaar ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior

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Criterion Validity of the Sedentary Behavior Question From the Global Physical Activity Questionnaire in Older Adults

Journal of Physical Activity and Health ◽

10.1123/jpah.2019-0145 ◽

2020 ◽

Vol 17 (1) ◽

pp. 2-12 ◽

Cited By ~ 3

Author(s):

Miguel A. de la Cámara ◽

Sara Higueras-Fresnillo ◽

Verónica Cabanas-Sánchez ◽

Kabir P. Sadarangani ◽

David Martinez-Gomez ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Energy Expenditure ◽

Sedentary Behavior ◽

Rank Correlation ◽

Daily Routine ◽

Physical Activity Questionnaire ◽

Global Physical Activity Questionnaire ◽

Objectively Measured ◽

Activity Questionnaire

Background: To assess the validity of the single question to determine sedentary behavior (SB) by using the Global Physical Activity Questionnaire (GPAQ) in older adults. Methods: The sample included 163 participants (96 women) aged 65–92 years. Self-reported SB was obtained from the GPAQ. Objectively measured SB was assessed using the Intelligent Device for Energy Expenditure and Activity. Participants wore the Intelligent Device for Energy Expenditure and Activity continuously during 2 consecutive days while following their daily routine. The relative validity was assessed using the Spearman rank correlation coefficient (ρ), and the agreement was examined using mean bias and 95% limit of agreement with the Intelligent Device for Energy Expenditure and Activity as reference. Results: The results showed small correlations (ρ = .291, P < .001) between the SB from the GPAQ and the objective measures, and ranged from ρ = .217 to ρ = .491 depending on the potential moderator. Similarly, the GPAQ underestimates the SB for approximately 2 hours per day in older adults (limit of agreement = −7.3 to 3.4 h/d). Conclusion: The GPAQ may not be the most suitable questionnaire for measuring SB in this population and should be used with caution because those studies that use this questionnaire in older adults may have an inaccurate measurement of SB levels.

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