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Laura Desveaux, Roger Goldstein, Sunita Mathur and Dina Brooks

Nonadherence to exercise is a main cause of reduced function for older adults with chronic disease following completion of rehabilitation. This quantitative study used a questionnaire to evaluate the barriers and facilitators to community-based exercise following rehabilitation, from the perspectives of older adults with chronic diseases and their healthcare professionals (HCPs). Questionnaires were administered one-on-one to 83 older adults and 35 HCPs. Those with chronic disease perceived cost (43%), travel time (43%), and physical symptoms (39%) as primary barriers to program participation, with similar perceptions across all chronic conditions. Access to a case manager (82%), a supported transition following rehabilitation (78%), and a condition-specific program (78%) were the primary facilitators. Significant between group differences were found between HCPs and older adults with chronic disease across all barriers (p < .001), with a greater number of HCPs perceiving barriers to exercise participation. There were no between-group differences in the perception of factors that facilitate participation in exercise.

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Paddy C. Dempsey, Chuck E. Matthews, S. Ghazaleh Dashti, Aiden R. Doherty, Audrey Bergouignan, Eline H. van Roekel, David W. Dunstan, Nicholas J. Wareham, Thomas E. Yates, Katrien Wijndaele and Brigid M. Lynch

. However, as limited evidence is available, concerning “optimal” amounts and patterns of sedentary behavior and light-intensity physical activity in relation to chronic disease risk, only general recommendations are possible to guide time spent in these behaviors at present (ie, “Sit less, move more

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Emmanuel Gomes Ciolac, José Messias Rodrigues da Silva and Rodolfo Paula Vieira

services, which brings serious concern to both governments and populations. 1 The functional and structural deterioration of almost all physiological systems that occur during aging, even in the absence of a discernible disease, results in an increased incidence/progression of chronic diseases and reduced

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Arya M. Sharma, Donna L. Goodwin and Janice Causgrove Dunn

). Understanding disability as a chronic illness with the associated stigma of weakness, vulnerability, and dependency is no longer a dominant paradigm of understanding and runs contrary to thinking in APA. At first glance, Dr. Sharma’s appeal to consider obesity a chronic disease appears incompatible with current

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Alex S. Ribeiro, Luiz C. Pereira, Danilo R.P. Silva, Leandro dos Santos, Brad J. Schoenfeld, Denilson C. Teixeira, Edilson S. Cyrino and Dartagnan P. Guedes

There is compelling evidence that both low levels of physical activity and sedentary behavior are distinct risk factors in the development of chronic diseases ( Hamilton, Healy, Dunstan, Zderic, & Owen, 2008 ). Given that sedentary behavior and levels of physical activity are independent behaviors

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Adilson Marques, Miguel Peralta, João Martins, Élvio R. Gouveia and Miguel G. Valeiro

Chronic diseases, such as heart attack, hypertension, diabetes, chronic lung disease, cancer, stomach or duodenal ulcer, and Alzheimer’s disease, are the major cause of mortality and disability worldwide ( World Health Organization [WHO], 2015 ). Chronic diseases have a negative effect on quality

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Jennifer Ann McGetrick, Krystyna Kongats, Kim D. Raine, Corinne Voyer and Candace I.J. Nykiforuk

Physical inactivity is a leading risk factor for global mortality 1 and contributes to the development of chronic diseases including obesity, diabetes, cardiovascular and respiratory illnesses, and cancers. 1 – 3 In Canada, 80% of adults do not meet the recommended 150 minutes of physical

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André O. Werneck, Edilson S. Cyrino, Paul J. Collings, Enio R.V. Ronque, Célia L. Szwarcwald, Luís B. Sardinha and Danilo R. Silva

hypertension, and 7.5% of heart disease cases. The highest population attributable fraction was observed for heart disease among males (10.1%). Table 3 Associations Between TV Viewing Duration With Self-Reported Physician Diagnoses of Chronic Disease in Brazilian Adults (Male = 22,627 and Female = 29,466) Type

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Leandro Martin Totaro Garcia, Kelly Samara da Silva, Giovâni F. Del Duca, Filipe Ferreira da Costa and Markus Vinicius Nahas

Background:

Our purpose was to examine the association of television viewing (hours/day), sedentary work (predominantly sitting at work), passive transportation to work (car or motorcycle), and the clustering of these behaviors (“sedentary lifestyle”), as well as leisure-time physical inactivity (LTPI), with chronic diseases (hypertension, hypercholesterolemia, type 2 diabetes, obesity, and clustering of chronic diseases) in Brazilian workers.

Methods:

Cross-sectional study conducted from 2006 to 2008 in 24 Brazilian federal units (n = 47,477). A questionnaire was applied. Descriptive statistics, binary and multinomial logistic regressions were used.

Results:

Magnitude of association with chronic diseases varied greatly across domains and gender. Sedentariness at work was the most consistent behavior associated with chronic diseases, especially in men (ORhypertension = 1.10, 95% CI: 1.01–1.20; ORhypercholesterolemia = 1.34, 95% CI: 1.21–1.48; ORobesity = 1.27, 95% CI: 1.15–1.41; OR1chronic disease = 1.17, 95% CI: 1.09–1.26; OR≥2chronic diseases = 1.61, 95% CI: 1.46–1.78) compared with women (ORhypercholesterolemia = 1.15, 95% CI: 1.01–1.31; ORobesity = 1.24, 95% CI: 1.04–1.48). LTPI was associated with all diseases in men (except type 2 diabetes), but only with obesity in women.

Conclusion:

Adverse health consequences may be differently associated according to behavior domain and gender. Sedentary work and LTPI were consistently associated with chronic disease in Brazilian workers, especially in men.

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Rachel G. Walker, Joyce Obeid, Thanh Nguyen, Hilde Ploeger, Nicole A. Proudfoot, Cecily Bos, Anthony K. Chan, Linda Pedder, Robert M. Issenman, Katrin Scheinemann, Maggie J. Larché, Karen McAssey and Brian W. Timmons

The objectives of this study were to (i) assess sedentary time and prevalence of screen-based sedentary behaviors of children with a chronic disease and (ii) compare sedentary time and prevalence of screen-based sedentary behaviors to age- and sex-matched healthy controls. Sixty-five children (aged 6-18 years) with a chronic disease participated: survivors of a brain tumor, hemophilia, type 1 diabetes mellitus, juvenile idiopathic arthritis, cystic fibrosis, and Crohn’s disease. Twenty-nine of these participants were compared with age- and sex-matched healthy controls. Sedentary time was measured objectively by an ActiGraph GT1M or GT3x accelerometer worn for 7 consecutive days and defined as less than 100 counts per min. A questionnaire was used to assess screen-based sedentary behaviors. Children with a chronic disease engaged in an average of 10.2 ± 1.4 hr of sedentary time per day, which comprised 76.5 ± 7.1% of average daily monitoring time. There were no differences between children with a chronic disease and controls in sedentary time (adjusted for wear time, p = .06) or in the prevalence of TV watching, and computer or video game usage for varying durations (p = .78, p = .39 and, p = .32 respectively). Children with a chronic disease, though relatively healthy, accumulate high levels of sedentary time, similar to those of their healthy peers.