Type 2 Diabetes incidence, physical activity levels and quality of life in a group of pre-diabetic and overweight subjects

2012 ◽  
Vol 15 ◽  
pp. S149
Author(s):  
L. Cugusi ◽  
G. Satta ◽  
F. Velluzzi ◽  
G. Steri ◽  
S. Santus ◽  
...  
2021 ◽  
Vol 11 (22) ◽  
pp. 11046
Author(s):  
Han-Hung Huang ◽  
Brianna Gathright ◽  
Rachel Holik ◽  
Hannah Iverson ◽  
Emily Saville ◽  
...  

The objective of this study was to assess the effects of an active video game (AVG) program in physiological parameters, fitness levels, motivation to physical activity, and quality of life on people with type 2 diabetes (T2D). Eight T2D patients participated in the 8-week AVG program using Xbox Kinect and/or Nintendo Wii. Heart rate (HR) and rating of perceived exertion (RPE) were monitored during exercise. Physiological and fitness assessment included hemoglobin A1C (HbA1c), HR, blood pressure (BP), body mass index, body composition, aerobic and muscular endurance, muscular strength, and flexibility. Psychological outcome measures included the Physical Activity Measure-Revised (MPAM-R), Situational Motivation Scale (SIMS), and World Health Organization Quality of Life (WHOQOL)-BREF. Participants demonstrated a moderate level of exercise intensity during AVG based on average HR and RPE. HbA1c, BP, and lower extremity muscle strength were improved, but were not statistically significant. The changes on psychological assessment were not significant. However, most participants demonstrated positive behavior and attitudes toward health and physical activity at one-month follow-up. This pilot study demonstrated that the AVG program might be an effective and alternative way of exercise for people with T2D. A future RCT is warranted to determine the physical and psychological effects of AVG on T2D population.


2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Ronald C. Plotnikoff ◽  
Steven T. Johnson ◽  
Constantinos A. Loucaides ◽  
Adrian E. Bauman ◽  
Nandini D. Karunamuni ◽  
...  

At a population level, the method used to determine those meeting physical activity guidelines has important implications, as estimating “sufficient” physical activity might be confounded by weight status. The objective of this study was to test the difference between three methods in estimating the prevalence of “sufficient activity” among Canadian adults with type 2 diabetes in a large population sample (N=1614) while considering the role of weight status as a potential confounder. Our results revealed that estimates of physical activity levels vary by BMI categories, depending on the methods examined. Although physical activity levels were lower in the obese, their energy expenditure estimates were not different from those who were overweight or of a healthy weight. The implications of these findings are that biased estimates of physical activity at a population level may result in inappropriate classification of adults with type 2 diabetes as “sufficiently active” and that the inclusion of body weight in estimating physical activity prevalence should be approached with caution.


2020 ◽  
Vol 30 (11) ◽  
pp. 1784-1790
Author(s):  
Steven Fleming ◽  
Tamara Jones ◽  
Monika Janda ◽  
Dimitrios Vagenas ◽  
Leigh Ward ◽  
...  

BackgroundParticipating in physical activity after a diagnosis of cancer is associated with reduced morbidity and improved outcomes. However, declines in, and low levels of, physical activity are well documented in the broader cancer population, but with limited evidence following gynecological cancer.ObjectiveTo describe physical activity levels from before and up to 2 years after gynecological cancer surgery; to explore the relationship between physical activity patterns and quality of life; and to describe characteristics associated with physical activity trajectories post-gynecological cancer.MethodsWomen with gynecological cancer (n=408) participated in a prospective study that assessed physical activity and quality of life pre-surgery (baseline), at 6 weeks, and 3, 6, 9, 12, 15, 18 and 24 months post-surgery. Validated questionnaires were used to assess physical activity (Active Australia Survey) and quality of life outcomes (Functional Assessment of Cancer Therapy-General). Generalized estimating equation modeling, group-based trajectory analysis, and analysis of variance were used to identify physical activity levels over time, to categorize women into physical activity trajectory groups, and to assess the relationship between physical activity levels and quality of life, respectively.ResultsWomen had a mean±SD age of 60±11.4 years at diagnosis, with the majority diagnosed with endometrial cancer (n=235, 58%) or stage I disease (n=241, 59%). Most women (80%) started with and maintained low levels of physical activity (1–10 metabolic equivalent task hours per week), reported no physical activity throughout the follow-up period, or reduced physical activity levels over time. Only 19% of women maintained or doubled physical activity levels, so that by 24 months post-diagnosis they were engaging in sufficient levels of physical activity. Women with endometrial cancer (58% of the sample) were more likely to be overweight or obese and to report low levels of physical activity or none at all. Higher physical activity levels were associated with higher quality of life (p<0.05).ConclusionThe low baseline and surveillance levels of physical activity show that the vast majority of gynecological cancer survivors have the ability to improve their physical activity levels. Integration of physical activity advice and support into standard care could lead to gains in quality of life during gynecological cancer survivorship.


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