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.
Laura Desveaux, Roger Goldstein, Sunita Mathur and Dina Brooks
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
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
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
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
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
Leandro Martin Totaro Garcia, Kelly Samara da Silva, Giovâni F. Del Duca, Filipe Ferreira da Costa and Markus Vinicius Nahas
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.
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.
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.
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.
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.
In this year’s review I want to make a case for exercise and physical activity in children with chronic disease or disability. Using two 2016 papers I will illustrate the infancy of the field, especially children who are wheelchair using. More efforts are needed to develop better methods to measure physical activity and exercise capacity in this population. In addition, effective interventions are needed to stimulate a healthy active lifestyle in children with disability. I sincerely hope that the 2016 review will stimulate other researchers to investigate physical activity and exercise in children with chronic disease and disability.
Brian C. Focht, Wendy M. Sanders, Peter H. Brubaker and W. Jack Rejeski
The authors examined the validity of the Computer Science and Application (CSA) activity monitor during a bout of rehabilitative exercise among older adults with chronic disease. In order to determine convergent validity, 50 participants were monitored during a 30-min walk in Study 1. In order to assess concurrent validity, 10 volunteers wore both a CSA accelerometer and a Cosmed K4 b2 portable gas-analysis unit during 30 min of rehabilitative exercise in Study 2. Study 1 results revealed significant (p < .01) positive relationships between mean CSA activity counts and estimated METs (r = .60), pedometer readings (r = .47), 6-min walk (r = .62), and self-efficacy (r = .45). Study 2 results demonstrated a significant (p < .01) positive correlation between CSA activity counts and oxygen uptake (r = .72). The findings suggest that the CSA activity monitor is an effective objective measure of physical activity during a structured, moderate-intensity bout of exercise among older adults with chronic disease.