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Brigid M. Lynch, Charles E. Matthews, Katrien Wijndaele and on behalf of the Sedentary Behaviour Council of the International Society for Physical Activity and Health

MEDLINE searches at various levels of specificity. Systematic reviews that utilize MEDLINE rely heavily on the database’s controlled vocabulary to identify relevant publications. One of the first projects initiated by the Sedentary Behaviour Council of the International Society for Physical Activity and

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Adrienne Brown and Mohammad Siahpush

Background:

Regular physical activity reduces the risk of a number of diseases, prevents obesity, and has positive psychological effects. Approximately one-third of the Australian population has been reported as totally sedentary. We investigated socioeconomic predictors of being sedentary in a nationally representative sample of Australian adults.

Methods:

We analyzed data from 8643 females and 7600 males who responded to the 2001 National Health Survey. Multivariate logistic regression was used to examine the association of being sedentary with a range of socioeconomic measures.

Results:

Adjusting for demographics, body-mass index, and smoking, we found that low socioeconomic status, indicated by low education level, blue-collar occupation, low income and area social disadvantage, increased the probability that people were sedentary.

Conclusions:

This research highlights that targeting people from lower socioeconomic backgrounds with strategies to increase participation in physical activity may reduce morbidity and mortality associated with being sedentary.

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Emily L. Mailey, Neha P. Gothe, Thomas R. Wójcicki, Amanda N. Szabo, Erin A. Olson, Sean P. Mullen, Jason T. Fanning, Robert W. Motl and Edward McAuley

The criteria one uses to reduce accelerometer data can profoundly influence the interpretation of research outcomes. The purpose of this study was to examine the influence of 3 different interruption periods (i.e., 20, 30, and 60 min) on the amount of data retained for analyses and estimates of sedentary time among older adults. Older adults (N = 311, M age = 71.1) wore an accelerometer for 7 d and reported wear time on an accelerometer log. Accelerometer data were downloaded and scored using 20-, 30-, and 60-min interruption periods. Estimates of wear time, derived using each interruption period, were compared with self-reported wear time, and descriptive statistics were used to compare estimates of sedentary time. Results showed a longer interruption period (i.e., 60 min) yields the largest sample size and the closest approximation of self-reported wear time. A short interruption period (i.e., 20 min) is likely to underestimate sedentary time among older adults.

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Meghan Schreck, Robert Althoff, Meike Bartels, Eco de Geus, Jeremy Sibold, Christine Giummo, David Rubin and James Hudziak

Few studies have explored the relation between withdrawn behavior (WB) and exercise and screen time. The current study used exploratory factor analysis to examine the factor structure of leisure-time exercise behavior (LTEB) and screentime sedentary behavior (STSB) in a clinical sample of youth. Structural equation modeling was employed to investigate the relations between WB and LTEB and STSB, conditional on gender. WB was assessed using the Child Behavior Checklist, and LTEB and STSB were measured using the Vermont Health Behavior Questionnaire. LTEB and STSB emerged as two separate factors. Gender moderated the structure of STSB only. For boys and girls, WB was inversely related to LTEB but not significantly related to STSB. LTEB and STSB are best represented as distinct, uncorrelated constructs. In addition, withdrawn youth may be at risk for poor health outcomes due to lower rates of LTEB. Mental health clinicians, sports psychologists, and related providers may be uniquely qualified to enhance motivation for sports participation in withdrawn youth.

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Elin Ekblom-Bak, Örjan Ekblom, Kate A. Bolam, Björn Ekblom, Göran Bergström and Mats Börjesson

Background:

Although moderate-to-vigorous physical activity (MVPA) is mainly recommended for glucose control, light physical activity (LIPA) may also have the potential to induce favorable changes. We investigated sedentary time (SED) substitution with equal time in LIPA and MVPA, and the association with markers of glucose regulation and insulin sensitivity after stratification by waist circumference, fitness and fasting glucose levels.

Methods:

A total of 654 men and women, 50 to 64 years, from the SCAPIS pilot study were included. Daily SED, LIPA and MVPA were assessed using hip-worn accelerometers. Fasting plasma glucose, insulin and HOMA-IR were determined.

Results:

Substituting 30 min of SED with LIPA was significantly associated with 3.0% lower fasting insulin values and 3.1% lower HOMA-IR values, with even lower levels when substituting SED with MVPA. Participants with lower fitness and participants with high fasting glucose levels benefited significantly more from substituting 30 min of SED with LIPA compared with participants with normal to high fitness levels and participants with normal glucose levels, respectively.

Conclusions:

LIPA, and not only MVPA, may have beneficial associations with glucose regulation. This is of great clinical and public health importance, not least because it may confer a higher compliance rate to regular PA.

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Anna Pulakka, Eric J. Shiroma, Tamara B. Harris, Jaana Pentti, Jussi Vahtera and Sari Stenholm

( Kosmadopoulos, Darwent, & Roach, 2016 ; McVeigh et al., 2016 ). In particular, sedentary behavior, sleep and non-wear time are difficult to distinguish from each other based on the accelerometer readings alone, because they are all comprised of low intensity or no movement, resulting in the accelerometer

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Heontae Kim and Minsoo Kang

Sedentary behavior, defined as “any waking behavior characterized by energy expenditure ≤ 1.5 METs while in a sitting or reclining posture,” 1 is a risk factor for chronic diseases such as metabolic syndrome, 2 , 3 cardiovascular disease, 4 – 7 type 2 diabetes, 8 , 9 hypertension, 10 and

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Manon L. Dontje, Calum F. Leask, Juliet Harvey, Dawn A. Skelton and Sebastien F.M. Chastin

Sedentary behavior is defined as any waking activity characterized by an energy expenditure ≤1.5 metabolic equivalents and a sitting or reclining posture ( Sedentary Behaviour Research Network, 2012 ). Older adults are the most sedentary segment of society. Older people (>65 years) spend over 75

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Sheri J. Hartman, Catherine R. Marinac, Lisa Cadmus-Bertram, Jacqueline Kerr, Loki Natarajan, Suneeta Godbole, Ruth E. Patterson, Brittany Morey and Dorothy D. Sears

, 6 – 8 more recent evidence points to sedentary behavior as a novel yet understudied predictor of health outcomes—even after adjusting for physical activity. 9 Sedentary activities are commonly defined as those with a low energy expenditure (<1.5 metabolic equivalents) and performed in a sitting or

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Tiago V. Barreira, Stephanie T. Broyles, Catrine Tudor-Locke, Jean-Philippe Chaput, Mikael Fogelholm, Gang Hu, Rebecca Kuriyan, Estelle V. Lambert, Carol A. Maher, José A. Maia, Timothy Olds, Vincent Onywera, Olga L. Sarmiento, Martyn Standage, Mark S. Tremblay, Peter T. Katzmarzyk and for the ISCOLE Research Group

(particularly MVPA) and sedentary time can be associated with household income, and this relationship may differ by a country’s level of human development. Some studies have documented associations between family SES and physical activity among children, 12 but the majority of those studies used questionnaire