Type 2 diabetes mellitus (T2DM) is a growing epidemic for older adults, affecting 1 in 4 of those aged 65 years and older. 1 Diabetes-related disability occurs in up to two-thirds of older adults with T2DM and is associated with loss of independence, poor quality of life, and increased utilization
Kimberlee A. Gretebeck, Caroline S. Blaum, Tisha Moore, Roger Brown, Andrzej Galecki, Debra Strasburg, Shu Chen, and Neil B. Alexander
Lise Crinière, Claire Lhommet, Agnès Caille, Bruno Giraudeau, Pierre Lecomte, Charles Couet, Jean-Michel Oppert, and David Jacobi
Increasing physical activity and decreasing sedentary time are cornerstones in the management of type 2 diabetes (T2DM). However, there are few instruments available to measure physical activity in this population. We translated the long version of the International Physical Activity Questionnaire (IPAQ-L) into French and studied its reproducibility and validity in patients with T2DM.
Reproducibility was studied by 2 telephone administrations, 8 days apart. Concurrent validity was tested against pedometry for 7 days during habitual life.
One-hundred forty-three patients with T2DM were recruited (59% males; age: 60.9 ± 10.5 years; BMI: 31.2 ± 5.2 kg/m2; HbA1c: 7.4 ± 1.2%). Intraclass correlation coefficients (95% CI) for repeated administration (n = 126) were 0.74 (0.61−0.83) for total physical activity, 0.72 (0.57−0.82) for walking, and 0.65 (0.51−0.78) for sitting time. Total physical activity and walking (MET-min·week-1) correlated with daily steps (Spearman r = .24 and r = .23, respectively, P < .05). Sitting time (min·week-1) correlated negatively with daily steps in women (r = −0.33; P < .05).
Our French version of the IPAQ-L appears reliable to assess habitual physical activity and sedentary time in patients with T2DM, confirming previous data in nonclinical populations.
Nele Huys, Vicky Van Stappen, Samyah Shadid, Marieke De Craemer, Odysseas Androutsos, Jaana Lindström, Konstantinos Makrilakis, Maria S. de Sabata, Luis Moreno, Pilar De Miguel-Etayo, Violeta Iotova, Imre Rurik, Yannis Manios, Greet Cardon, and on behalf of the Feel4Diabetes-Study Group
The prevalence of diabetes is increasing rapidly worldwide because of the increase in age-specific prevalence of diabetes, among other factors. This could be attributed to the increase of the main modifiable risk factors (ie, overweight/obesity and physical inactivity). 1 Ogurtsova et al 2
Vera K. Tsenkova, Chioun Lee, and Jennifer Morozink Boylan
Diabetes is a significant problem in the United States and accounts for substantial morbidity and mortality. Currently, 9.3% have diabetes and 37% have milder forms of hyperglycemia such as prediabetes that typically transition to overt diabetes. 1 The economic costs of diabetes are staggering
Paul A. McAuley, Haiying Chen, Duck-chul Lee, Enrique Garcia Artero, David A. Bluemke, and Gregory L. Burke
The influence of higher physical activity on the relationship between adiposity and cardiometabolic risk is not completely understood.
Between 2000–2002, data were collected on 6795 Multi-Ethnic Study of Atherosclerosis (MESA) participants. Self-reported intentional physical activity in the lowest quartile (0–105 MET-minutes/week) was categorized as inactive and the upper three quartiles (123–37,260 MET-minutes/week) as active. Associations of body mass index (BMI) and waist circumference categories, stratified by physical activity status (inactive or active) with cardiometabolic risk factors (dyslipidemia, hypertension, upper quartile of homeostasis model assessment of insulin resistance [HOMA-IR] for population, and impaired fasting glucose or diabetes) were assessed using logistic regression analysis adjusting for age, gender, race/ethnicity, and current smoking.
Among obese participants, those who were physically active had reduced odds of insulin resistance (47% lower; P < .001) and impaired fasting glucose/diabetes (23% lower; P = .04). These associations were weaker for central obesity. However, among participants with a normal waist circumference, those who were inactive were 63% more likely to have insulin resistance (OR [95% CI] 1.63 [1.24–2.15]) compared with the active reference group.
Physical activity was inversely related to the cardiometabolic risk associated with obesity and central obesity.
Bonny Rockette-Wagner, Rachel G. Miller, Yvonne L. Eaglehouse, Vincent C. Arena, M. Kaye Kramer, and Andrea M. Kriska
Time spent in activities with low energy expenditure performed while sitting or lying down has been termed sedentary behaviors . 1 These behaviors have been shown to increase the risk of diabetes and cardiovascular disease. 2 , 3 More than 10 years after the Diabetes Prevention Program (DPP
Stefano Palermi, Anna M. Sacco, Immacolata Belviso, Nastasia Marino, Francesco Gambardella, Carlo Loiacono, and Felice Sirico
to decreased socialization, autonomy, and overall quality of life ( Salkeld et al., 2000 ). This public health issue is even more serious in specific subsets of patients with specific diseases, such as patients with type 2 diabetes mellitus (DM). Indeed, these patients have a higher risk of falling
Namkee G. Choi, Diana M. DiNitto, John E. Sullivan, and Bryan Y. Choi
According to the Centers for Disease Control and Prevention, 23 million U.S. adults aged 18+ years had a diagnosis of diabetes in 2015, and another 7.2 million had undiagnosed diabetes. These two groups were 12.1% of all U.S. adults, including 12 million who were aged 65+ years ( Centers for
Rodrigo Sudatti Delevatti, Ana Carolina Kanitz, Cláudia Gomes Bracht, Salime Donida Chedid Lisboa, Elisa Corrêa Marson, Thaís Reichert, Vitória Bones, and Luiz Fernando Martins Kruel
Responses related to cardiorespiratory fitness (CRF) are strong mortality predictors. 1 Especially in type 2 diabetes (T2D), a low CRF is an independent risk factor for cardiovascular diseases. 2 In this sense, besides glycemic control and cardiometabolic outcomes usually considered in disease
Kin-Kit Li, Lorna Ng, Sheung-Tak Cheng, and Helene H. Fung
. Accordingly, the effects should be validated across different populations and settings. This study examined the framing effect among older adults with type 2 diabetes (T2D). Message Framing in PA Promotion According to prospect theory ( Tversky & Kahneman, 1981 ), decisions are made based on the subjective