Patterns of Sedentary Behavior in US Middle-Age and Older Adults

Diaz, Keith M.; Howard, Virginia J.; Hutto, Brent; Colabianchi, Natalie; Vena, John E.; Blair, Steven N.; Hooker, Steven P.

doi:10.1249/mss.0000000000000792

Cited by 141 publications

(118 citation statements)

References 41 publications

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“…The mean daily sedentary break numbers were also comparable [4]. The present study’s participants spent a similar percentage (68%) of their day in sedentary time compared to previous studies on young to middle-aged (60%) [27] and older adults (72–77%) [10,14,15] which used cut-points to identify SB, and for middle-aged (65%) [4]; and older (78%) [12]; adults in posture-based studies using ActivPAL. The small differences between studies may be due to algorithm differences, participant age or employment status.…”

Section: Discussionsupporting

confidence: 73%

“…In this study, acceleration data were classified as either active or sedentary time on a second by second basis and a sedentary break was identified when an activity segment of ≥30 s (at least 1 min of activity when rounding to the nearest minute) was detected using our activity detection algorithm [20–22] with at least one second of sedentary time preceding it. Studies vary in their definition of minimum time duration required to classify sedentary bouts typically choosing 1, 2, 5, or 10 min or greater [14–17]. In this study, a sedentary bout was defined as a segment where no activity was detected for at least 10 min, consistent with previous sedentary bout length distribution studies [7].…”

Section: Methodsmentioning

confidence: 92%

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A pilot study of physical activity and sedentary behavior distribution patterns in older women

et al. 2017

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The study aims were to investigate free-living physical activity and sedentary behavior distribution patterns in a group of older women, and assess the cross-sectional associations with body mass index (BMI). Eleven older women (mean (SD) age: 77 (9) yrs) wore custom-built activity monitors, each containing a triaxial accelerometer ( ± 16 g, 100 Hz), on the waist and ankle for lab-based walking trials and 4 days in free-living. Daily active time, step counts, cadence, and sedentary break number were estimated from acceleration data. The sedentary bout length distribution and sedentary time accumulation pattern, using the Gini index, were investigated. Associations of the parameters’ total daily values and coefficients of variation (CVs) of their hourly values with BMI were assessed using linear regression. The algorithm demonstrated median sensitivity, positive predictive value, and agreement values > 98% and < 1% mean error in cadence calculations with video identification during lab trials. Participants’ sedentary bouts were found to be power law distributed with 56% of their sedentary time occurring in 20 min bouts or longer. Meaningful associations were detectable in the relationships of total active time, step count, sedentary break number and their CVs with BMI. Active time and step counts had moderate negative associations with BMI while sedentary break number had a strong negative association. Active time, step count and sedentary break number CVs also had strong positive associations with BMI. The results highlight the importance of measuring sedentary behavior and suggest a more even distribution of physical activity throughout the day is associated with lower BMI.

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Section: Discussionsupporting

confidence: 73%

Section: Methodsmentioning

confidence: 92%

A pilot study of physical activity and sedentary behavior distribution patterns in older women

et al. 2017

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“…Previous population-based studies have reported that ~31% and ~48% of total sedentary time was accrued in bouts >30 minutes among middle/older-aged females enrolled in the Women’s Health Study and black and white middle/older-aged adults enrolled the Reasons for Geographic and Racial Differences (REGARDS) study, respectively. 33, 34 Limited empirical evidence exists regarding how frequently sedentary bouts should be interrupted (every 30 minutes, every 60 minutes, etc.) to confer health benefit.…”

Section: Discussionmentioning

confidence: 99%

“…As HCHS/SOL participants averaged ~9 and 5 sedentary bouts/day longer than 20 and 30 minutes, respectively, the results from the present study corroborate the suggestion from the REGARDS investigators that guidelines aimed within the window of every 20–30 minutes could be a more optimal target. 34 Future trials, however, are still needed to determine the frequency of sedentary breaks that elicit the greatest metabolic-protective benefit.…”

Section: Discussionmentioning

confidence: 99%

Prolonged, Uninterrupted Sedentary Behavior and Glycemic Biomarkers Among US Hispanic/Latino Adults

et al. 2017

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Background Excessive sedentary time is ubiquitous in developed nations and is associated with deleterious health outcomes. Few studies have examined whether the manner in which sedentary time is accrued (in short or long bouts) carries any clinical relevance. The purpose of this study was to examine the association of prolonged-uninterrupted sedentary behavior with glycemic biomarkers in a cohort of U.S. Hispanic/Latino adults. Methods We studied 12,083 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a population-based study of Hispanic/Latino adults 18–74 years. Homeostatic model assessment of insulin resistance (HOMA-IR) and glycosylated hemoglobin (Hb1Ac) were measured from a fasting blood sample and 2-hour glucose was measured following an oral glucose tolerance test. Sedentary time was objectively measured using a hip-mounted accelerometer. Prolonged, uninterrupted sedentariness was expressed as mean sedentary bout length. Results Adjusted for potential confounders and moderate-vigorous physical activity, longer sedentary bout duration was dose-dependently associated with increased HOMA-IR (p-trend <0.001) and 2-hour glucose levels (p-trend=0.015). These associations were not independent of total sedentary time, however a significant interaction between sedentary bout duration and total sedentary time was observed. Evaluation of the joint association of total sedentary time and sedentary bout duration showed that participants in the upper quartile for both sedentary characteristics (i.e. high total sedentary time and high sedentary bout duration) had the highest levels of HOMA-IR (p<0.001 vs. low group for both sedentary characteristics) and 2-hour glucose (p=0.002 vs. low group for both sedentary characteristics). High total sedentary time or high sedentary bout duration alone were not associated with differences in any glycemic biomarkers Conclusions Accruing sedentary time in prolonged, uninterrupted bouts may be deleteriously associated with biomarkers of glucose regulation.

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“…However, patterns of physical activity and sedentary time may vary across racial/ethnic groups (6). For instance, in the REGARDS (REasons for Geographic and Racial Differences in Stroke) study, which included African Americans from the stroke belt region, found that African Americans had a 6% higher odds of prolonged sedentary time than whites (7). To our knowledge, the association between television viewing time and all-cause mortality among African Americans has not been examined.…”

Section: Introductionmentioning

confidence: 99%

Television Viewing Time, Physical Activity, and Mortality Among African Americans

et al. 2018

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BackgroundProlonged television viewing time, a marker of sedentary activity, is independently associated with increased all-cause mortality; however, this association has rarely been studied in African Americans. The objective of our study was to examine the association between television viewing time and mortality among African Americans by using data from the Jackson Heart Study (JHS).MethodsWe studied 5,289 participants from the JHS study who reported television viewing time (h/day) in the JHS baseline questionnaire from 2000 through 2004. Using multivariable Cox regression models adjusted for age, sex, smoking, alcohol use, physical activity, nutrition, prevalent coronary heart disease, chronic kidney disease, diabetes, and hypertension, we computed hazard ratios to examine the association between television viewing time (≤2 h/day, 2–4 h/day, and ≥4 h/day) and mortality.ResultsParticipants had a mean age of 55 years, and 64% were women. After a median follow-up of 9.9 years (interquartile range, 9.0–10.7), 615 deaths occurred (data analysis conducted in 2017). Hazard ratios for mortality were 1.08 (0.86–1.37) for television time of 2 to 4 hours per day and 1.48 (95% CI: 1.19–1.83) for television time of greater than or equal to 4 hours per day when compared with those who watched television less than 2 hours per day (P trend = .002). When we restricted analyses to those who performed leisure-time activities, the hazard ratios for mortality were 1.10 (95% CI, 0.84–1.45) for television viewing of 2 to 4 hours per day and 1.45 (95% CI, 1.13–1.86) for more than 4 hours per day compared with the less than 2 hours per day.ConclusionOur findings suggest that greater television viewing time, even among those who perform leisure-time physical activities, is associated with increased all-cause mortality among African Americans. Thus, it may serve as an indicator of a sedentary lifestyle with potential for intervention.

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Patterns of Sedentary Behavior in US Middle-Age and Older Adults

Cited by 141 publications

References 41 publications

A pilot study of physical activity and sedentary behavior distribution patterns in older women

A pilot study of physical activity and sedentary behavior distribution patterns in older women

Prolonged, Uninterrupted Sedentary Behavior and Glycemic Biomarkers Among US Hispanic/Latino Adults

Television Viewing Time, Physical Activity, and Mortality Among African Americans

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