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Truckers Drive Their Own Assessment for Obstructive Sleep Apnea: A Collaborative Approach to Online Self-Assessment for Obstructive Sleep Apnea: Difference between revisions

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== 4. Results ==
== 4. Results ==
Over the nine months of data collection, a total 595 individuals took the survey. Of these, 55.9% scored positive on the overall Berlin survey, and 78.3% were positive on objective (BMI, hypertension) section. We have no way to determine the non-completion rate of the study. We did not collect data on participants' age. The type and treatment of variable in our data set as well as descriptive statistics can be found in Table 1.
=== 4.1. Obesity and Hypertension ===
{| class="wikitable" style="text-align: left; width: 100%;"
{| class="wikitable" style="text-align: left; width: 100%;"
|+ Table 1. Descriptive statistics and variable types
|+ Table 1. Descriptive statistics and variable types
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&deg; The descriptive statistic was chosen based on the scale type of the variable in question. Continuous data, such as GPA or weight, is best described by its mean. Ordinal data, such as great, good, or bad, is best described by its median. Categorical data, such as gender or race, is best described by the mode<sup>[19]</sup>.
&deg; The descriptive statistic was chosen based on the scale type of the variable in question. Continuous data, such as GPA or weight, is best described by its mean. Ordinal data, such as great, good, or bad, is best described by its median. Categorical data, such as gender or race, is best described by the mode<sup>[19]</sup>.
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Over the nine months of data collection, a total 595 individuals took the survey. Of these, 55.9% scored positive on the overall Berlin survey, and 78.3% were positive on objective (BMI, hypertension) section. We have no way to determine the non-completion rate of the study. We did not collect data on participants' age. The type and treatment of variable in our data set as well as descriptive statistics can be found in Table 1.
=== 4.1. Obesity and Hypertension ===


More than two-thirds of the respondents were obese; 69.6% had a BMI > 30 kg/m<sup>2</sup>, and 47.6% had a BMI > 33 kg/m<sup>2</sup>. 35.6% of CMVDs surveyed had a BMI > 35 kg/m<sup>2</sup>. Figure 1 presents a frequency histogram of BMIs of the respondents. Obesity correlated with snoring loudness (the louder the snoring, the greater likelihood of obesity) (p<0.05) and with hypertension (p<0.05). More than a third (39.5%) of participants reported hypertension, which correlated with feeling tired/fatigued after sleep (p<0.05)
More than two-thirds of the respondents were obese; 69.6% had a BMI > 30 kg/m<sup>2</sup>, and 47.6% had a BMI > 33 kg/m<sup>2</sup>. 35.6% of CMVDs surveyed had a BMI > 35 kg/m<sup>2</sup>. Figure 1 presents a frequency histogram of BMIs of the respondents. Obesity correlated with snoring loudness (the louder the snoring, the greater likelihood of obesity) (p<0.05) and with hypertension (p<0.05). More than a third (39.5%) of participants reported hypertension, which correlated with feeling tired/fatigued after sleep (p<0.05)
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