Outcome
Type |
Measure |
Description |
Time frame |
Safety issue |
Primary |
Change in Exhaled breath carbon monoxide (CO) |
Assessing change from baseline (boost): collect before and immediately after each smoking session with a handheld electrochemical cell. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in Plasma nicotine boost |
Assessing change from baseline (boost): Whole blood collected before and immediately after each smoking session, separated, and plasma layer transferred and stored at -80 °C until analysis for nicotine according to validated methods using LC-MS/MS. |
Up to 2 years |
|
Primary |
Change in Forced vital capacity (FVC) |
Spirometer measurements will be collected. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in Forced expiratory volume in 1 second (FEV1) |
Spirometer measurements will be collected. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in FEV1/FVC; The ratio of the forced expiratory volume in the first one second to the forced vital capacity of the lungs. |
Spirometer measurements will be collected. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in Peak expiratory flow (PEF) |
Spirometer measurements will be collected. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in Forced expiratory flow at 25-75% of FVC |
Spirometer measurements will be collected. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Tobacco use history |
Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Nicotine dependence |
Assessed by Hooked on Nicotine Checklist (HONC). 10 "Yes" or "No" questions, yes = 1, no = 0; minimum score = 0, maximum score = 10, higher scores mean greater nicotine dependence. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Nicotine dependence |
Lebanese Waterpipe Dependence Scale (LWDS). Ten questions, min score = 0, max score = 36, higher sores mean greater nicotine dependence. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
General harm and specific health risk perceptions |
Assessed using harm/health risk perceptions questionnaire. Min scale = 0 (no harm), max scale = 10 (extreme harm). Higher scores mean greater perceived harm/health risk. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Subjective effects of smoking tobacco |
Assessed using Direct Effects of Tobacco scale. Min scale = 0 (not at all), Max scale = extremely. Higher number total means tobacco has greater effect. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in Subjective effects of smoking tobacco |
Assessed change from baseline using Direct Effects of Nicotine scale. Min scale = 0 (not at all), Max scale = 100 (extremely). Higher number means nicotine has greater effect. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in Subjective effects of smoking tobacco |
Assessed change from baseline using Questionnaire for Urges to Smoke. Min scale: 1 (strongly disagree), Max scale = 6 (strongly agree). Higher number means greater urge to smoke. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Change in Nicotine withdrawal assessment |
Assessed change from baseline using Waterpipe-modified Minnesota Withdrawal Scale. Min scale = 0 (not at all), Max scale = 100 (extremely). Higher number total means greater withdrawal symptoms. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Tobacco flavors perception, intensity of sweetness |
To determine the relative intensity of specific flavors, e.g., sweetness, will use the general version of the Labeled Magnitude Scale (gLMS), to obtain data that would permit ratio comparisons of perceived sensation magnitudes. Min scale = 0, Max scale = 100. Higher number means perception is stronger. |
Up to 2 years |
|
Primary |
Tobacco flavors perception, degree of liking or disliking |
To assess the degree of liking or disliking of flavors, will use the Labeled Hedonic Scale (LHS) to collect ratio-level data on the magnitude of liking and disliking of sensation. Min scale = 0, Max scale = 100. Higher number means greater liking. |
Up to 2 years |
|
Primary |
Puffing topography |
Puff volume will be measured continuously during the smoking session using the research-grade waterpipe. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Puffing topography |
Puff duration will be measured continuously during the smoking session using the research-grade waterpipe. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Puffing topography |
Puff average flow rate will be measured continuously during the smoking session using the research-grade waterpipe. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Puffing topography |
Puff peak flow rate will be measured continuously during the smoking session using the research-grade waterpipe. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|
Primary |
Puffing topography |
Interpuff interval will be measured continuously during the smoking session using the research-grade waterpipe. Data will be analyzed using linear mixed models containing random subject effects. Since linear mixed models allow for incomplete data, data from all completed smoking sessions will be used in the analysis. Tukey's method will be used to adjust for multiple comparisons of the tobacco treatments. |
Up to 2 years |
|