Does a 10-puff bout reflect natural puffing patterns for electronic nicotine delivery systems?

Abstract Introduction An important research gap is how users of electronic nicotine delivery systems (ENDS) group puffs together, and whether that pattern accurately reflects the standardized 10-puff procedure often employed in laboratory-based work. Previously defined “puff cluster” parameters were applied to data from our own work and then the patterns compared to those published elsewhere. Methods For all studies (N=8), the same definition of a puff cluster was used (number of puffs separated by <60 seconds), as was the same cluster categorizations: 1 puff (single), 2-5 puffs (short), 6-10 puffs (medium), or >10 puffs (long). Descriptive analyses included the average frequency, average number of puffs taken, and percent of total puffs/session, for each cluster type. Differences in cluster patterns as a function of pre-session ENDS abstinence and puffing bout length were explored. Results Single and small clusters were the most common in 7 of 8 studies; the average number of cluster types was 9.02 (SD=7.55) single clusters, 5.96 (SD=4.02) small clusters, 0.94 (SD=0.74) medium clusters, and 0.49 (SD=0.44) large clusters. Small clusters made up the largest percentage of total puffs within a session (M=37.12%), followed by single puffs (M=28.55%), large clusters (M=17.41%), and medium clusters (M=16.92%). Puff cluster patterns were similar regardless of the pre-session ENDS abstinence requirement and the ENDS puffing bout duration. Conclusions Single puffs and small clusters were the predominant cluster types, accounting for accounting for 67.0% of all puffs. The 10-puff bout typically used in laboratory work to standardize product use does not represent naturalistic ENDS puffing.

Authors

Institutions

Publication Details

Journal
Nicotine & Tobacco Research
Published
2026-07-22
DOI
https://doi.org/10.1093/ntr/ntag165
Primary Topic
Smoking Behavior and Cessation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does a 10-puff bout reflect natural puffing patterns for electronic nicotine delivery systems?

Caroline Oates Cobb, Melissa D. Blank, Nicholas J. Felicione, Andrea R. Milstred et al.
Nicotine & Tobacco Research
Smoking Behavior and Cessation
article

Does a 10-puff bout reflect natural puffing patterns for electronic nicotine delivery systems?

Caroline Oates Cobb, Melissa D. Blank, Nicholas J. Felicione, Andrea R. Milstred, Alison Breland
article en

Abstract

Abstract Introduction An important research gap is how users of electronic nicotine delivery systems (ENDS) group puffs together, and whether that pattern accurately reflects the standardized 10-puff procedure often employed in laboratory-based work. Previously defined “puff cluster” parameters were applied to data from our own work and then the patterns compared to those published elsewhere. Methods For all studies (N=8), the same definition of a puff cluster was used (number of puffs separated by <60 seconds), as was the same cluster categorizations: 1 puff (single), 2-5 puffs (short), 6-10 puffs (medium), or >10 puffs (long). Descriptive analyses included the average frequency, average number of puffs taken, and percent of total puffs/session, for each cluster type. Differences in cluster patterns as a function of pre-session ENDS abstinence and puffing bout length were explored. Results Single and small clusters were the most common in 7 of 8 studies; the average number of cluster types was 9.02 (SD=7.55) single clusters, 5.96 (SD=4.02) small clusters, 0.94 (SD=0.74) medium clusters, and 0.49 (SD=0.44) large clusters. Small clusters made up the largest percentage of total puffs within a session (M=37.12%), followed by single puffs (M=28.55%), large clusters (M=17.41%), and medium clusters (M=16.92%). Puff cluster patterns were similar regardless of the pre-session ENDS abstinence requirement and the ENDS puffing bout duration. Conclusions Single puffs and small clusters were the predominant cluster types, accounting for accounting for 67.0% of all puffs. The 10-puff bout typically used in laboratory work to standardize product use does not represent naturalistic ENDS puffing.

Nicotine & Tobacco Research
West Virginia University (US), Virginia Commonwealth University (US), University of Oklahoma Health Sciences Center (US), University at Buffalo, State University of New York (US)
Openalex Percentile: Top 8%
Smoking Behavior and Cessation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.