Table 1 Table of baseline characteristics
From: Association between e-cigarette use and myocardial infarction: a systematic review and meta-analysis
Study | Database used | Sample size | Gender | Age Mean (SD) | ||
|---|---|---|---|---|---|---|
Male N (%) | Female N (%) | E-cigarette | Non-E-cigarette | |||
Farsalinos [15] | NHIS 2016–17 | 59,579 | 26,984 (45.3) | 32,595 (54.7) | 42.1 | 50.8 |
Critcher [16] | NHIS 2014, 2016–19 | 175,546 | 80,742 (46.0) | 94,804 (54.0) | ||
Vindhyal [17] | NHIS 2014, 2016–17 | 96,467 | 32.9 | 40.4 | ||
Alzahrani [18] | NHIS 2014, 2016 | 69,046 | 30,837 (44.7) | 38,209 (55.3) | 42.4 (8.33) | 51.6 (18.48) |
Ndunda [19] | BRFSS 2016 | 410,651 | 211,485 (51.5) | 199,166(48.5) | 44 | 57 |
Falk [20] | NHIS 2014, 2016–18 | 84,553 | ||||
Wang [21] | HHS 2013–17 | 39,747 | 12,047 (30.3) | 27,600 (69.4) | ||
Vindhyal [22] | NHIS 2014, 2016–18 | 16,855 | 10,669 (63.3) | 6,156 (36.5) | 26.7 | 44 |
Rodu [23] | Path 1 wave | 32,320 | 15,546 (48.1) | 16,774 (51.9) | ||