To systematize strategies that may support patients with Chronic Obstructive Pulmonary Disease to maintain the effects of pulmonary rehabilitation over time. This systematic literature review was conducted, and the evidence was electronically searched in the Web of Science, Scopus, and EBSCO databases. This review included randomized controlled clinical trials, published until September 2019, that addressed components of an unsupervised home-based pulmonary rehabilitation program, maintenance strategies following outpatient pulmonary rehabilitation programs, as well as data on outcomes for quality of life, exercise performance, and dyspnea. A final sample of 5 articles was obtained from a total of 1693 studies. Data for final synthesis were grouped into 2 categories: components of unsupervised home-based pulmonary rehabilitation programs and maintenance strategies. An unsupervised home-based pulmonary rehabilitation program should consist of an educational component, an endurance training component, and a strength training component. When patients are transferred to the home environment, it is important to include more functional exercises specifically adapted to the patient’s condition, goals, and needs.
Objective: To compare the performance of anthropometric indicators that identify excess body fat (BF) in adolescents. Methods: This is a methodological study that used probability cluster sampling through school and class draws. Data collection included sociodemographic characteristics and anthropometric measures. Body mass index (BMI), waist-to-height ratio (WtHR), conicity index (C index), and waist circumference (WC) were calculated. Body fat percentage (BF%) was calculated from skinfold thickness and used as the gold standard. To analyze the data, descriptive statistics, Student’s t-test, Receiver Operating Characteristic (ROC) curve, and Youden’s index were used, in addition to correlation coefficient calculation between the indicators and BF%. Results: A total of 997 adolescents enrolled in municipal secondary schools participated in the study. By calculating the BMI, we found that 10.6% of adolescents were overweight, and 4.7% were obese. BMI, WC, and WtHR had the highest accuracy to predict body fatness. All the anthropometric indicators had higher specificity than sensitivity to diagnose excess BF in males. WC had the highest sensitivity in both genders. C index had the smallest area under the ROC curve and the lowest sensitivity in both genders, but its specificity was equivalent to that of the other indicators. Conclusions: BMI, WtHR, and WC were the best anthropometric indicators to predict excess BF in adolescents and had the best correlation coefficients. These tools can be considered in the screening to detect excess BF in adolescents.
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