Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior (original) (raw)
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Sedentary time in older men and women: an international consensus statement and research priorities
British journal of sports medicine, 2017
Sedentary time is a modifiable determinant of poor health, and in older adults, reducing sedentary time may be an important first step in adopting and maintaining a more active lifestyle. The primary purpose of this consensus statement is to provide an integrated perspective on current knowledge and expert opinion pertaining to sedentary behaviour in older adults on the topics of measurement, associations with health outcomes, and interventions. A secondary yet equally important purpose is to suggest priorities for future research and knowledge translation based on gaps identified. A five-step Delphi consensus process was used. Experts in the area of sedentary behaviour and older adults (n=15) participated in three surveys, an in-person consensus meeting, and a validation process. The surveys specifically probed measurement, health outcomes, interventions, and research priorities. The meeting was informed by a literature review and conference symposium, and it was used to create sta...
Midlife Determinants Associated with Sedentary Behavior in Old Age
Medicine & Science in Sports & Exercise, 2014
Background: Sedentary behavior is associated with adverse health effects. Insights into associated determinants are essential to prevent sedentary behavior and limit health risks. Sedentary behavior should be viewed as a distinct health behavior; therefore, its determinants should be independently identified. Purpose: This study examines the prospective associations between a wide range of midlife determinants and objectively measured sedentary time in old age. Methods: Data from 565 participants (age 73-92 yr) of the AGESII-Reykjavik Study were used. Participants wore an accelerometer (ActiGraph GT3X) on the right hip for seven consecutive days. On average, 31 yr earlier (during midlife), demographic, socioeconomic, lifestyle, and biomedical factors were collected. Linear regression models were used to examine prospective associations between midlife determinants and sedentary time (G100 counts per minute) in old age. Results: After adjustment for sex, age, follow-up time, minutes of moderate to vigorous physical activity, body mass index, health status, mobility limitation, and joint pain in old age, the midlife determinants not being married, primary education, living in a duplex or living in an apartment (vs villa), being obese, and having a heart disease were associated with, on average, 15.3, 12.4, 13.5, 13.3, 21.8, and 38.9 sedentary minutes more per day in old age, respectively. Conclusions: This study shows that demographic, socioeconomic, and biomedical determinants in midlife were associated with considerably more sedentary time per day in old age. These results can indicate the possibility of predicting sedentariness in old age, which could be used to identify target groups for prevention programs reducing sedentary time in older adults. could be used to identify target groups for prevention programs aimed at reducing sedentary time and decreasing the risk of sedentary-related adverse health effects.
British Journal of Sports Medicine, 2014
Background Sedentary behaviours are increasingly recognised as raising the risk of cardiovascular disease events, diabetes and mortality, independently of physical activity levels. However, little is known about patterns of sedentary behaviour in older adults. Methods Cross-sectional study of 1566/3137 (50% response) men aged 71–91 years from a UK populationbased cohort study. Men wore a GT3x accelerometer over the hip for 1 week in 2010–2011. Mean daily minutes of sedentary behaviours, percentage of day in sedentary behaviours, sedentary bouts and breaks were calculated and summarised by health and demographic characteristics. Results 1403 ambulatory men aged 78.4 years (SD=4.6 years) with ≥600 min of accelerometer wear on ≥3 days had complete data on covariables. Men spent on average 618 min (SD=83), or 72% of their day in sedentary behaviours (<100 counts/min). On average, men accumulated 72 spells of sedentary behaviours per day, with 7 breaks in each sedentary hour. Men had on average 5.1 sedentary bouts of ≥30 min, which accounted for 43% of sedentary time, and 1.4 bouts of ≥60 min, which accounted for 19% of daily sedentary time. Men who were over 80 years old, obese, depressed and had multiple chronic conditions accumulated more sedentary time and spent more time in longer sedentary bouts. Conclusions Older men spend nearly three quarters of their day in sedentary behaviours, mostly accumulated in short bouts, although bouts lasting ≥30 min accounted for nearly half of the sedentary time each day. Men with medical risk factors were more likely to also display sedentary behaviour
The Sedentary Time and Physical Activity Level of Adulthood: Comparative by Age and Gender Group
RSF Conference Proceeding Series: Medical and Health Science, 2023
In adulthood, physical activity provides benefits for health outcomes. Watching television, using a computer while sitting, and driving too long can make the sedentary time longer, eventually reducing physical activity. Therefore, this study aimed to associate sedentary time with physical activity level and compared the sedentary time and physical activity levels by age and gender. This study uses a descriptive-analytic with a cross-sectional approach to finding the association of sedentary time with physical activity level compared by age and gender group. The data was conducted from 179 adult participants located from inside and outside of Java Island, Indonesia was invited to participate in this study. Measurement of sedentary time and physical activity level used the International Physical Activity Questionnaire short-form (IPAQ-SF). Through the research process, this study found that the average age of study participants is 38.69 years old (SD±11.99; min-max=19-65 years old). S...
BMC public health, 2016
Evidence shows that prolonged sitting is associated with an increased risk of mortality, independent of physical activity (PA). The aim of the study was to identify correlates of sedentary time (ST) in different age groups and day types (i.e. school-/work day versus non-school-/non-work day). The study sample consisted of 1895 Dutch children (4-11 years), 1131 adolescents (12-17 years), 8003 adults (18-64 years) and 1569 elderly (65 years and older) who enrolled in the Dutch continuous national survey 'Injuries and Physical Activity in the Netherlands' between 2006 and 2011. Respondents estimated the number of sitting hours during a regular school-/workday and a regular non-school/non-work day. Multiple linear regression analyses on cross-sectional data were used to identify correlates of ST. Significant positive associations with ST were observed for: higher age (4-to-17-year-olds and elderly), male gender (adults), overweight (children), higher education (adults ≥ 30 years...
Patterns of Sedentary Behavior in US Middle-Age and Older Adults: The REGARDS Study
Medicine and science in sports and exercise, 2015
The purpose of this study was to examine patterns of objectively-measured sedentary behavior in a national cohort of U.S. middle-aged and older adults and determine factors that influence prolonged sedentary behavior. We studied 8,096 participants from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study, a population-based study of black and white adults ≥45 years. Seven-day accelerometry was conducted. Prolonged sedentary behavior was defined as accumulating ≥50% of total sedentary time in bouts ≥30 min. The number of sedentary bouts ≥20, ≥30, ≥60, and ≥90 min were 8.8 ± 2.3, 5.5 ± 1.9, 1.9 ± 1.1, and 0.8 ± 0.7 bouts/day, respectively. Sedentary bouts ≥20, ≥30, ≥60, and ≥90 min accounted for 60.0 ± 13.9%, 48.0 ± 15.5%, 26.0 ± 15.4%, and 14.2 ± 12.9% of total sedentary time, respectively. Several factors were associated with prolonged sedentary behavior in multivariate-adjusted models (Odds Ratio [95% CI]): older age (65-74 years: 1.99 [1.55-2.57]; ≥75 years:...
British journal of sports medicine, 2017
Sedentary time (ST) is an important risk factor for a variety of health outcomes in older adults. Consensus is needed on future research directions so that collaborative and timely efforts can be made globally to address this modifiable risk factor. In this review, we examined current literature to identify gaps and inform future research priorities on ST and healthy ageing. We reviewed three primary topics:(1) the validity/reliability of self-report measurement tools, (2) the consequences of prolonged ST on geriatric-relevant health outcomes (physical function, cognitive function, mental health, incontinence and quality of life) and(3) the effectiveness of interventions to reduce ST in older adults. A trained librarian created a search strategy that was peer reviewed for completeness. Self-report assessment of the context and type of ST is important but the tools tend to underestimate total ST. There appears to be an association between ST and geriatric-relevant health outcomes, al...
Patterns of sedentary behavior and physical function in older adults
Aging Clinical and Experimental Research, 2015
Background/aims The purposes of this study were to examine the relationship between various objectively measured sedentary behavior (SB) variables and physical function in older adults, examine the measurement properties of an SB questionnaire, and describe the domains of SB in our sample. Methods Forty-four older adults (70 ± 8 years, 64 % female) had their SB measured via activPAL activity monitor and SB questionnaire for 1 week followed by performance-based tests of physical function. Results The pattern of SB was more important than total SB time. Where a gender by SB interaction was found, increasing time in SB and fewer breaks were associated with worse function in the males only. The SB questionnaire had acceptable test-retest reliability but poor validity compared to activPAL-measured SB. The majority of SB time was spent watching television, using the computer and reading. Discussion/conclusions This study provides further evidence for the association between SB and physical function and describes where older adults are spending their sedentary time. This information can be used in the design of future intervention to reduce sedentary time and improve function in older adults.
Do Sedentary Behaviors Modify the Health Status of Older Adults?
Evidence suggests sedentary behavior (SB) negatively impacts the health of adults but less is known about SB impact on older adult (OA) health. Seventy OA (73.4±6years) living in the southeast region of Wisconsin, United States of America (USA) completed three SB diaries and had risk factors associated with cardiovascular disease (CVD) assessed. Sedentary behaviors were quantified as time spent in sitting/lying activities. Pearson correlation coefficients, independent samples t-tests, and one-way ANOVA were performed to explore the relationship between SB and health. Older adults engaged in 620.3±91.2mins/d of SB with television watching (144.3±99.8mins/d) being the most prominent. Total SB and television watching were correlated to multiple risk factors for CVD (r=-.241-.415, p=.009- .027) and these variables worsened as OA spent more time in those activities. Television watching was the only SB that increased across risk categories of CVD [F (2,67) =4.158, p=.020, eta squared=.11]. These results suggest SB, especially television watching to be related to risk factors of CVD in OA