The Relation of Sleep Complaints to Respiratory Symptoms in a General Population – Methods and Materials
Data from both the eighth and ninth surveys were used to classify subjects as having AOD because the structure of the questions on the ninth survey asked only if the subjects had been treated for AOD since the previous survey. Therefore, we believed that use of data from only the ninth survey would have underestimated the number of subjects with an AOD diagnosis.
We obtained information regarding respiratory symptoms, snoring, and obesity from the ninth survey. As described previously, we considered subjects to have respiratory symptoms if they indicated on the questionnaire that they had cough or sputum production or wheezing. No questions, however, distinguished between daytime and nighttime symptoms. We classified subjects as having cough or sputum production if they gave a “Yes” response to any of the four questions asking whether these symptoms occurred in “bad weather” or “regardless of the weather.” We classified subjects as having wheezing if they gave a “Yes” response to a question asking if their chest ever sounded wheezy or whistling apart from when they had a cold or on most days. We also grouped subjects according to whether they reported snoring rarely, on some or most nights, or every night. Many subjects (768) did not know if they snored, and they were excluded from some analyses. canadian neighbor pharmacy
Subjects were stratified by an index of obesity (body weight divided by height squared) into three groups based on weight and height at the ninth survey: the lowest 25th percentile, the middle 50th percentile, or the highest 25th percentile of the obesity index range for each gender. They also were placed into one of three age groups (<40 years of age, 40 to 64 years of age, and >64 years of age) as in our previous study.
Spirometry in the ninth survey was performed using a field pneumotachograph device. Validation of the device and generation of predicted values for spirometric variables in this population have been described in previous studies. For data analysis, we stratified subjects into three categories according to their FEVjj/FVC ratios (< 60 percent, 60 to 80 percent, and >80 percent).
Statistical methods used include simple x2, trend X2 analyses of stratified data by Mantel-Haentzel (M-H), analysis of variance for parametric variables, and multiple logistic regression performed on SPSS/PC + software. All reported p values are two-tailed with a p value of < 0.05 considered as statistically significant. All aspects of this research have been reviewed and approved by the University of Arizona Human Subjects Committee.
Category: Respiratory Symptoms
Tags: airways obstruction, asthma, chronic bronchitis, respiratory symptoms