Geo Smoking Study and Neural and Geospatial Examination of Smokers' Exposure to Retail Environments

Self-reported Cigarette Craving During the Experimental Manipulation Period

时间窗: 4-week experimental manipulation period

Participants were asked 4 times per day, for the 28 days of the intervention period, to rate their level of craving for a cigarette. They responded to the question "Right now, how much do you want to smoke a cigarette?" using a 100-point scale from 0 (not at all) to 100 (extremely). Craving ratings were first averaged within each day, for each participant; then were averaged across the intervention period days for each participant; and finally averaged across participants in each group.

Self-reported Number of Cigarettes Smoked Per Day During the Experimental Manipulation Period

时间窗: 4-week experimental manipulation period

Participants were asked 2 times per day, for the 28 days of the intervention period, to respond to the question, "Within \[timeframe\], how many cigarettes did you smoke?". We calculated a daily sum for each individual, imputing missing counts from the average of that individual's prior reports (missing values for the first daily survey were imputed from the average of that participant's first daily survey answers; and vice versa for the second survey). We averaged the daily counts for each participant, and then averaged across participants.

Brain Activity (Measured by Functional Magnetic Resonance Imaging) in a Priori Regions of Interest, in Response to Standardized Smoking vs Nonsmoking Cues.

时间窗: [Time Frame: For 822815, fMRI scan 1 (at least 2 weeks after initial enrollment); for 850796, fMRI scan 1 (at least 6 weeks after initial enrollment)]]

In key neural cue reactivity regions (based on prior work), we extracted estimates of neural activity during exposure to standardized smoking cues (e.g., photographs of a cigarette pack) and during exposure to standardized nonsmoking cues (approximately compositionally matched, e.g., a pack of pencils). We used SPM12 to create first-level (within-subject) linear regression models to estimate BOLD (blood oxygenation level dependent) activity at each voxel across all repetitions of each task condition, within each subject; and to create contrast estimates comparing task conditions. We used nilearn tools to average task condition contrast estimates across voxels within the regions of interest for each participant. The data values below reflect this contrast estimate - the difference in neural activity as percent change in BOLD signal between the standardized smoking cues condition and the standardized nonsmoking cues condition.

Brain Activity (Measured by fMRI), in a Priori Regions of Interest, in Response to Retail Smoking vs Nonsmoking Cues

时间窗: [Time Frame: For 822815, fMRI scan 1 (at least 2 weeks after initial enrollment); for 850796, fMRI scan 1 (at least 6 weeks after initial enrollment)]]

In key neural cue reactivity regions (based on prior work), we will extract estimates of neural activity during exposure to images showing the cash register area at a convenience store which sells tobacco products, and has tobacco products and tobacco marketing on display behind the register (the "power wall"; tobacco retail images), and during exposure to nonsmoking cues. We used SPM12 to create first-level (within-subject) linear regression models to estimate BOLD (blood oxygenation level dependent) activity at each voxel across all repetitions of each task condition, within each subject; and to create contrast estimates comparing task conditions. We used nilearn tools to average task condition contrast estimates across voxels within the regions of interest for each participant. The data values below reflect this contrast estimate - the difference in neural activity as percent change in BOLD signal between the retail smoking cues condition and the nonsmoking cues condition.

Self-reported Cigarette Craving During the Experimental Manipulation Period

时间窗: 4-week experimental manipulation period

Participants were asked 4 times per day, for the 28 days of the intervention period, to rate their level of craving for a cigarette. They responded to the question "Right now, how much do you want to smoke a cigarette?" using a 100-point scale from 0 (not at all) to 100 (extremely). Craving ratings were first averaged within each day, for each participant; then were averaged across the intervention period days for each participant; and finally averaged across participants in each group.

Self-reported Number of Cigarettes Smoked Per Day During the Experimental Manipulation Period

时间窗: 4-week experimental manipulation period

Participants were asked 2 times per day, for the 28 days of the intervention period, to respond to the question, "Within \[timeframe\], how many cigarettes did you smoke?". We calculated a daily sum for each individual, imputing missing counts from the average of that individual's prior reports (missing values for the first daily survey were imputed from the average of that participant's first daily survey answers; and vice versa for the second survey). We averaged the daily counts for each participant, and then averaged across participants.

Brain Activity (Measured by Functional Magnetic Resonance Imaging) in a Priori Regions of Interest, in Response to Standardized Smoking vs Nonsmoking Cues.

时间窗: [Time Frame: For 822815, fMRI scan 1 (at least 2 weeks after initial enrollment); for 850796, fMRI scan 1 (at least 6 weeks after initial enrollment)]]

In key neural cue reactivity regions (based on prior work), we extracted estimates of neural activity during exposure to standardized smoking cues (e.g., photographs of a cigarette pack) and during exposure to standardized nonsmoking cues (approximately compositionally matched, e.g., a pack of pencils). We used SPM12 to create first-level (within-subject) linear regression models to estimate BOLD (blood oxygenation level dependent) activity at each voxel across all repetitions of each task condition, within each subject; and to create contrast estimates comparing task conditions. We used nilearn tools to average task condition contrast estimates across voxels within the regions of interest for each participant. The data values below reflect this contrast estimate - the difference in neural activity as percent change in BOLD signal between the standardized smoking cues condition and the standardized nonsmoking cues condition.

Brain Activity (Measured by fMRI), in a Priori Regions of Interest, in Response to Retail Smoking vs Nonsmoking Cues

时间窗: [Time Frame: For 822815, fMRI scan 1 (at least 2 weeks after initial enrollment); for 850796, fMRI scan 1 (at least 6 weeks after initial enrollment)]]

In key neural cue reactivity regions (based on prior work), we will extract estimates of neural activity during exposure to images showing the cash register area at a convenience store which sells tobacco products, and has tobacco products and tobacco marketing on display behind the register (the "power wall"; tobacco retail images), and during exposure to nonsmoking cues. We used SPM12 to create first-level (within-subject) linear regression models to estimate BOLD (blood oxygenation level dependent) activity at each voxel across all repetitions of each task condition, within each subject; and to create contrast estimates comparing task conditions. We used nilearn tools to average task condition contrast estimates across voxels within the regions of interest for each participant. The data values below reflect this contrast estimate - the difference in neural activity as percent change in BOLD signal between the retail smoking cues condition and the nonsmoking cues condition.