Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis

Wilmot, Emma G; Edwardson, Charlotte L.; Achana, Felix; Davies, Melanie J.; Gorely, Trish; Gray, Laura J.; Khunti, Kamlesh; Yates, Thomas; Biddle, Stuart J. H.

doi:10.1007/s00125-012-2677-z

Cited by 1,433 publications

(1,099 citation statements)

References 53 publications

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“…This is challenged by reliance on poor estimates of PA intensity (especially lower‐intensity PA) obtained from self‐reported data; thus, studies where PA is objectively assessed are needed. Furthermore, sedentary behavior, where energy expenditure is minimal and prolonged lying or sitting is the dominant posture, has also been related to an increased CVD risk independently of PA,16, 17 though little is known on how time spent sedentary relates to CVD biomarkers at older age.…”

Section: Introductionmentioning

confidence: 99%

Physical Activity, Sedentary Time, and Cardiovascular Disease Biomarkers at Age 60 to 64 Years

Elhakeem

Cooper

Whincup

et al. 2018

JAHA

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BackgroundWe examined associations of objectively measured physical activity (PA) and sedentary time with cardiovascular disease biomarkers at age 60 to 64 years. This included investigation of sex differences and the extent to which associations may be mediated by adiposity.Methods and ResultsParticipants were 795 men and 827 women aged 60 to 64 years from the Medical Research Council National Survey of Health and Development. Combined heart rate and movement sensors worn for 5 consecutive days were used to derive overall PA energy expenditure, kJ/kg per day) and time spent sedentary (<1.5 metabolic equivalent of tasks), in light PA (1.5–3 metabolic equivalent of tasks) and moderate‐to‐vigorous intensity PA (>3 metabolic equivalent of tasks). Linear regression models were used to relate each PA parameter to inflammatory (C‐reactive protein, interleukin‐6), endothelial (tissue‐plasminogen activator, E‐selectin) and adipokine (leptin, adiponectin) markers extracted from fasting blood samples. Greater time in light PA and moderate‐to‐vigorous intensity PA and less sedentary time were associated with more favorable biomarker levels. For C‐reactive protein, interleukin‐6, and leptin, these differences were greater among women than men. For example, % differences (95% confidence intervals) in leptin for men and women per SD increases in sedentary time: 7.9 (2.7, 13.0) and 20.6 (15.3, 25.8); moderate‐to‐vigorous intensity PA: −3.8 (−8.9, 12.7) and −17.7 (−23.1, −12.4), moderate‐to‐vigorous intensity PA: −12.9 (−17.9, −8.0) and −18.3 (−23.4, −13.1). Fat mass mediated a greater proportion of these associations in women than men.ConclusionsGreater light PA and moderate‐to‐vigorous intensity PA and less sedentary time in early old age were associated with more favorable cardiovascular biomarker profiles. Fat mass partially mediated these associations but more strongly in women than men, which explained sex differences.

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Section: Introductionmentioning

confidence: 99%

Physical Activity, Sedentary Time, and Cardiovascular Disease Biomarkers at Age 60 to 64 Years

Elhakeem

Cooper

Whincup

et al. 2018

JAHA

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“…With the health risks associated with sedentary behavior now firmly established, 1 and the search underway for a panacea to the surging prevalence of lifestyle-related disease, low-level physical activity has become a burgeoning area of research. Such research is often focused on ways of decreasing time spent sitting or lying in order to increase overall energy expenditure (EE).…”

Section: Introductionmentioning

confidence: 99%

Sitting comfortably versus lying down: Is there really a difference in energy expenditure?

Miles-Chan¹,

Sarafian²,

Montani³

et al. 2014

Clinical Nutrition

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Background & aims: Energy expenditure (EE) during sitting is widely assumed to be higher than that while lying down, but supporting evidence is equivocal. Despite this, resting EE in the sitting position is often used as a proxy for basal metabolic rate. Here we investigate whether EE differs in the comfortable seated position compared to supine (lying) position. Methods: EE and respiratory quotient (RQ) were measured (by ventilated hood indirect calorimetry) in 19 healthy subjects (9 men, 10 women) after an overnight fast. Supine measurements were made using a comfortable clinical tilting table and sitting measurements made using an adjustable, ergonomic car seat adapted for the hood system. After about 30 min of rest in either position, metabolic monitoring was conducted until stabilization of EE for at least 15 min in each posture. Results: EE in the sitting position was not significantly different compared to supine (<2% difference). By contrast, heart rate was higher by 7 beats/min (p < 0.05). RQ was slightly but significantly decreased during sitting compared to lying (p < 0.05), with no change in breathing rate. Conclusions: This study suggests that the ventilated hood calorimetry system for assessment of REE after an overnight fast in a comfortable sitting position can be used as a good proxy of the basal metabolic rate. It also underscores the applicability of the ventilated hood system to measurements of resting EE in the sitting posture which, compared to supine posture, may be more acceptable/convenient to the subject/ patient participating in postprandial metabolic studies lasting several hours.

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“…[1][2][3][4][5][6][7] There are indications that not only is total sedentary time important, but also how this time is accumulated throughout the day. Previous studies have shown that frequent interruptions in sedentary time may be associated with beneficial health outcomes, 8,9 suggesting that breaking up sedentary time may offset the detrimental effects of high total sedentary time.…”

Section: Introductionmentioning

confidence: 99%

Desk-Based Occupational Sitting Patterns

Ryde

Brown

Peeters

et al. 2013

American Journal of Preventive Medicine

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Background: Prolonged, uninterrupted sitting time is associated with poor health outcomes.As most sitting time occurs at work, accurate, objective measurement of occupational sitting patterns is required to fully understand its effects on employee health. Purpose:The purpose of this study was to examine associations between desk-based sitting patterns, waist circumference (WC) and body mass index (BMI).Methods: Participants were full-time, office-based employees (N=105; mean age 40.9±11.5 years; BMI 26.1±3.9, 65% women). Sitting patterns (total desk-based sitting time and number of times employees got up from their desk) were assessed for five days using an objective measure of desk-based sitting, the sitting pad. WC, height and weight were measured, and BMI calculated (weight/height 2 ). Associations between sitting patterns, WC and BMI were tested using logistic regression models. Data were collected and analysed between 2011/12.Results: Those with high sitting time at their desk were 2.7 times (95% CI: 1.3 to 6.3) more likely to have WC ≥94 cm (men) or ≥80cm (women), and 9.0 times (95% CI: 1.9 to 41.9) more likely to have BMI ≥30 than those with lower sitting time. There were no significant associations between the number of times employees got up from sitting at their desk and WC or BMI. Conclusion:High desk-based sitting time was associated with increased likelihood of weight related health outcomes whereas frequency of getting up from sitting at the desk was not.3

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Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis

Cited by 1,433 publications

References 53 publications

Physical Activity, Sedentary Time, and Cardiovascular Disease Biomarkers at Age 60 to 64 Years

Physical Activity, Sedentary Time, and Cardiovascular Disease Biomarkers at Age 60 to 64 Years

Sitting comfortably versus lying down: Is there really a difference in energy expenditure?

Desk-Based Occupational Sitting Patterns

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