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1.
J Strength Cond Res ; 33(4): 1028-1034, 2019 Apr.
Article in English | MEDLINE | ID: mdl-30908457

ABSTRACT

Crouse, SF, Tolson, H, Lytle, J, Johnson, KA, Martin, SE, Green, JS, Oliver, J, Carbuhn, A, Lambert, B, and Bramhall, JP. Predicting V[Combining Dot Above]O2max from treadmill performance in American-style football athletes. J Strength Cond Res 33(4): 1028-1034, 2019-Prediction equations are often used to estimate V[Combining Dot Above]O2max in the general population but are lacking for American-style football (ASF) athletes. We sought to develop a regression model to estimate V[Combining Dot Above]O2max from treadmill exercise time in ASF athletes and compare our football V[Combining Dot Above]O2max model with 2 published prediction equations (Foster et al., 1984, and Bruce, 1973). American-style football athletes (N = 472, age = 18 ± 1 year, height = 186.1 ± 8.2 cm, and body mass = 101.8 ± 20.4 kg) underwent treadmill exercise to voluntary exhaustion (Bruce protocol). Maximal exercise time was recorded in minutes (Tmin), and V[Combining Dot Above]O2max was simultaneously measured (M-V[Combining Dot Above]O2max, mlO2·kg·min) by an automated gas-analysis system. Athletes were then randomly divided into validation and cross-validation groups (n = 236). Linear regression yielded estimates of V[Combining Dot Above]O2max from Tmin as follows: validation V[Combining Dot Above]O2max = 4.012 × Tmin - 4.628 (r = 0.678, p < 0.001, and SEE = 4.07); cross-validation V[Combining Dot Above]O2max = 4.025 × Tmin - 4.693 (r = 0.661, p < 0.001, and SEE = -4.16). These equations had a cross-validation coefficient of 0.813 and a double cross-validation coefficient of 0.823. Differences between the slopes of the 2 equations were not significant (t-test, p = 0.9603). Because validation and cross-validation groups were not statistically different on any variables measured (multivariate analysis of variance, p > 0.05), all athletes were combined to yield our final prediction equation: football V[Combining Dot Above]O2max = 4.017 × Tmin - 4.644 (r = 0.670, p < 0.001, and SEE = 4.11). Repeated-measures analysis of variance demonstrated significant differences (p < 0.001) in estimates of V[Combining Dot Above]O2max among Foster (44.1 ± 6.1), Bruce (47.1 ± 5.5), and our football (45.1 ± 5.8) equations. Foster and Bruce V[Combining Dot Above]O2max estimates were also significantly different from M-V[Combining Dot Above]O2max ((Equation is included in full-text article.)diff = -0.975 and 1.995, respectively, p < 0.001). V[Combining Dot Above]O2max of ASF athletes can be reasonably estimated by our football prediction equation using maximal treadmill time as the predictor.


Subject(s)
Exercise Test/statistics & numerical data , Exercise/physiology , Football/physiology , Oxygen Consumption , Adolescent , Adult , Exercise Tolerance , Humans , Linear Models , Male , Mathematical Concepts , Predictive Value of Tests , Random Allocation , Regression Analysis , United States , Young Adult
2.
BMC Med Res Methodol ; 5: 37, 2005 Dec 01.
Article in English | MEDLINE | ID: mdl-16321161

ABSTRACT

BACKGROUND: Delphi surveys with panels of experts in a particular area of interest have been widely utilized in the fields of clinical medicine, nursing practice, medical education and healthcare services. Despite this wide applicability of the Delphi methodology, there is no clear identification of what constitutes a sufficient number of Delphi survey participants to ensure stability of results. METHODS: The study analyzed the response characteristics from the first round of a Delphi survey conducted with 23 experts in healthcare quality and patient safety. The panel members had similar training and subject matter understanding of the Malcolm Baldrige Criteria for Performance Excellence in Healthcare. The raw data from the first round sampling, which usually contains the largest diversity of responses, were augmented via bootstrap sampling to obtain computer-generated results for two larger samples obtained by sampling with replacement. Response characteristics (mean, trimmed mean, standard deviation and 95% confidence intervals) for 54 survey items were compared for the responses of the 23 actual study participants and two computer-generated samples of 1000 and 2000 resampling iterations. RESULTS: The results from this study indicate that the response characteristics of a small expert panel in a well-defined knowledge area are stable in light of augmented sampling. CONCLUSION: Panels of similarly trained experts (who possess a general understanding in the field of interest) provide effective and reliable utilization of a small sample from a limited number of experts in a field of study to develop reliable criteria that inform judgment and support effective decision-making.


Subject(s)
Consensus Development Conferences as Topic , Delphi Technique , Medical Errors/prevention & control , Research Personnel , Safety Management/methods , Sampling Studies , Total Quality Management , Data Interpretation, Statistical , Humans , Psychometrics , Quality Indicators, Health Care , Reproducibility of Results , Research Personnel/education , Research Personnel/standards , Sample Size , Surveys and Questionnaires
3.
Tex Med ; 108(2): e1, 2012 Feb 01.
Article in English | MEDLINE | ID: mdl-22714802

ABSTRACT

This study was conducted to determine if a parent-oriented educational intervention reduces the use of emergency department (ED) services for the care of infants. Infants aged 7 days to 1 year and older children aged 2 to 10 years were tracked for 3 years in two separate primary care (PC) practices in Washington County, Texas, with the last year being the interventional study period. Also, infants aged 7 days to 1 year and older children aged 7 days to 5 years were tracked in a third PC practice in Burleson County, Texas. The study group consisted of all parents of patients aged 7 days to 1 year seen by the pediatric group in Washington County during the 1-year interventional period. Only parents of infants in the study group received a specific educational intervention booklet. Five separate control groups were followed in this study. The control groups received usual care with standardized patient information, but they did not receive the educational intervention booklet. Each group was evaluated by calculating its monthly ED utilization rate, which is the quotient derived from dividing the number of children from that particular group seen in the ED per month by the number of children from the same group seen in the PC clinic per month. A difference of proportions test was applied to test for statistical significance regarding ED utilization. Compared with parents in the control group, parents receiving the intervention booklet (the study group) showed significantly (P < .05) lower use of ED services for care of their infants. We found no change in ED utilization for children of parents receiving other standard educational information.


Subject(s)
Emergency Service, Hospital , Parents , Humans , Primary Health Care , Texas
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