Smokers’ behaviour and the toxicity of cigarette filters to aquatic life: a multidisciplinary study

Microplastics and Nanoplastics

Table 1 Logistic regression model predicting the likelihood of cigarette littering

	B (SE)	Odds Ratio	95% C.I. for Odds Ratio
			Lower	Upper
Group setting at disposal	1.16*** (0.29)	3.19	1.82	5.60
Age (classified)	-0.24** (0.07)	0.79	0.68	0.91
No. of present ashtrays (categorical)	-0.27* (0.11)	0.77	0.62	0.94
Gender	-0.26 (0.23)	0.77	0.49	1.21
Pre-existing general litter (scale 0–5)	-0.33 (0.19)	0.72	0.50	1.05
Pre-existing cigarette litter (scale 0–5)	-0.01 (0.15)	0.99	0.73	1.34
Time of the day (classified)	0.07 (0.11)	1.07	0.86	1.34
Cigarette littering	2.62 (0.71)	13.76

Note. R² = 0.08 (Hosmer–Lemeshow), 0.08 (Cox-Snell), 0.13 (Nagelkerke). Model χ²(7) = 49.56, p < 0.001
For each predictor variable, the unstandardized regression coefficient (B-value) is shown including its standard error. P-values are shown as evidence measure for predictor variables that have an influence on cigarette littering with p < 0.05 for (*), p < 0.01 for (**), and p < 0.001 for (***). Moreover, the odds ratio and its 95% confidence intervals are presented