OBJECTIVEExercise is a cornerstone of diabetes management and the prevention of incident diabetes. However, the impact of the mode of exercise on cardiovascular (CV) risk factors in type 2 diabetes is unclear.RESEARCH DESIGN AND METHODSWe conducted a systematic review of the literature between 1970 and October 2009 in representative databases for the effect of aerobic or resistance exercise training on clinical markers of CV risk, including glycemic control, dyslipidemia, blood pressure, and body composition in patients with type 2 diabetes.RESULTSOf 645 articles retrieved, 34 met our inclusion criteria; most investigated aerobic exercise alone, and 10 reported combined exercise training. Aerobic alone or combined with resistance training (RT) significantly improved HbA1c −0.6 and −0.67%, respectively (95% CI −0.98 to −0.27 and −0.93 to −0.40, respectively), systolic blood pressure (SBP) −6.08 and −3.59 mmHg, respectively (95% CI −10.79 to −1.36 and −6.93 to −0.24, respectively), and triglycerides −0.3 mmol/L (95% CI −0.48 to −0.11 and −0.57 to −0.02, respectively). Waist circumference was significantly improved −3.1 cm (95% CI −10.3 to −1.2) with combined aerobic and resistance exercise, although fewer studies and more heterogeneity of the responses were observed in the latter two markers. Resistance exercise alone or combined with any other form of exercise was not found to have any significant effect on CV markers.CONCLUSIONSAerobic exercise alone or combined with RT improves glycemic control, SBP, triglycerides, and waist circumference. The impact of resistance exercise alone on CV risk markers in type 2 diabetes remains unclear.
The positive effect of physical activity in the prevention and treatment of many chronic diseases and age-related disabilities, such as mobility-disability, are widely accepted. Mobility is broadly defined as the ability of individuals to move themselves within community environments. These two concepts -physical activity and mobility -are closely linked and together contribute to older adults living healthy, independent lives. Neighborhood destinations may encourage mobility, as older adults typically leave their homes to travel to specific destinations. Thus, neighborhoods with a high prevalence of destinations may provide older adults an attractive opportunity to walk, instead of drive, and thereby obtain incidental physical activity. We know surprisingly little about the specific types of destinations older adults deem relevant and even less about destinations that support the mobility of older adults with low income. Accessible neighborhood destinations may be especially important to older adults with low income as they are more likely to walk as a primary travel mode. Conversely, this population may also be at increased risk of functional impairments that negatively affect their ability to walk. As a means to fill this information gap we aimed to better understand the mobility habits of older adults with low income. Thus, our specific objectives were to: (1) describe the types of destinations older adults with low income most commonly travel to in one week; and (2) determine the association between the prevalence of neighborhood destinations and the number of transportation walking trips these individuals make (average per day). We conducted a cross-sectional study of community-dwelling older adults with low income residing within Metro Vancouver, Canada. We assessed participant travel behavior (frequency, purpose, mode, destination) using seven-day travel diaries and measured the prevalence of neighborhood destinations using the Street Smart Walk Score. We also assessed participants' sociodemographic characteristics and mobility (physical function, car access, CIHR Author ManuscriptCIHR Author Manuscript CIHR Author Manuscript confidence walking). We used a negative binomial model to determine the association between Street Smart Walk Score and number of transportation walking trips (average per day). Our sample was comprised of 150 participants (median age 74 years; 51 men) from who we acquired at least one day of travel diary data (range = 1-7 days). Participants made three trips per day (2, 5; median P 25 , P 75 ) and travelled to six different destination types per week (5, 9; median P 25 , P 75 ).Destinations most relevant to older adults were grocery stores, malls, and restaurants/cafés. Each 10-point increase in Street Smart Walk Score was associated with a 20% increase in the number of transportation walking trips (average per day, incidence rate ratio = 1.20, 95% CI = 1.12, 1.29). Our findings provide preliminary evidence regarding destinations that may be most relevant to older adults. ...
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