Examples of using Variables used in this study in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Table 1 summarizes the variables used in this study.
All variables used in this study are described in the Figure.
Table 2 presents the descriptive statistics of the variables used in this study.
Anthropometric variables used in this study were: BMI, WC, WHR, and WHtR.
One hundred and eleven subjects 2.7% presenting incomplete data on the variables used in this study were excluded.
The variables used in this study were gender, age, geographic region, and body mass index BMI, body mass/height².
Table 3 displays a summary of the description of variables used in this study, as well as the expected correlation.
The high estimate of intra-judge agreement measured by the kappa coefficient is based on previous research that confirmed the variables used in this study.
The socioeconomic and demographic variables used in this study are age, sex, and per capita family income.
The variables used in this study were obtained by structured questionnaire, filled by the adolescents on their own, inserted into an electronic data collector personal digital assistant- PDA.
It was possible to observe there was no multicollinearity between the variables used in this study; therefore, all the variables were used in the models.
Regarding the variables used in this study, some required additional clarification: overweight was classified based on the body mass index BMI obtained by weight/height through the Anthro software.
There are few analyses published on coopetition in the tourism destinations' context, so the literature review andtheoretical validation of variables used in this study was also a limitation.
Table 3 displays the descriptive statistics of the variables used in this study for a sample of 1,400 individuals from the state of Rio Grande do Sul, aged over 18 years.
Table 2 presents the results from the descriptive statistic related to the variables used in this study, in which 196 cases of business combinations occurring between 2002 and 2013 were analyzed.
The variables used in this study were: gender, age, diabetes mellitus DM, chronic obstructive pulmonary disease COPD, obesity BMI>= 30kg/m, smoking, preliminary heart disease, duration of cardiopulmonary bypass> 120 minutes, surgery and hospitalization at Intensive Care Units ICU, postoperative polytransfusion and use of mammary bypass graft.
It was concluded that the correlation between the two performance physiological variables used in this study, namely heart rate and lactate concentration, were closely related to the intensity of each of the segments-modalities of the Olympic triathlon.
The variables used in this study included the type of healthcare unit reference center for the treatment of malaria or primary care unit; diagnosis of malaria by type of plasmodium P. vivax or P. falciparum; gestational age in weeks; the prescribed treatment antimalarials, dose/dosing interval and treatment duration; occurrence and description of adverse events.
Limitations regarding the aggregate data prevented a more in-depth study atthe company level and precluded a more detailed statistical analysis of the relationships between the variables used in this study. Suggestions for future studies on this topic include addressing the association between innovative activities and the strategic orientation of companies that operate in the manufacturing industry.
Table 1 shows the descriptive statistics for the variables used in this study, making a distinction between rural and urban regions, and also between young and non-young individuals in the different sub-samples region-wise.
With these considerations in mind, the proxy variables used in this study include the number of hardware and software shops, as an indication of stock, and the number of hits on the World Wide Web for the cities under studies, as a crude approximation of flow.