Awareness Level of Business Students regarding Drinking Water Safety and Associated Adulteration Accidents: A Multinomial Logistic Regression Approach

Table 3

Student awareness of drinking water contamination accidents (statistical results).

	Faisalabad (total)		Chak Jhumra		Faisalabad Sadar		Jaranwala		Samundri		Tandlianwala
	N	%Age	N	%Age	N	%Age	N	%Age	N	%Age	N	%Age
Panel 1: Attention to the water pollution events
Pay special attention	141	34.3	33	39.3	27	47.4	27	25.0	21	38.9	33	30.6
Follow in free time	180	43.8	33	39.3	27	47.4	45	41.7	24	44.4	51	47.2
Not concerned	72	17.5	9	10.7	3	5.3	33	30.6	6	11.1	21	19.4
No answer	18	4.4	9	10.7	0	0.0	3	2.8	3	5.6	3	2.8
Panel 2: Attention-seeking water pollution events
Damage to human health	345	83.9	72	85.7	54	94.7	75	69.5	42	77.8	102	94.4
Influence scales	18	4.4	3	3.6	3	5.3	6	5.6	6	11.1	0	0.0
Cause of accident	27	6.6	9	10.7	0	0.0	9	8.3	3	5.6	6	5.6
Accident information publication	12	2.9	0	0.0	0	0.0	12	11.1	0	0.0	0	0.0
Accident treatment procedures	9	2.2	0	0.0	0	0.0	6	5.6	3	5.6	0	0.0
Panel 3: Emergency response provider in water contamination accidents
Health department	147	36.0	36	42.9	18	31.6	30	27.8	21	38.9	42	40.0
Environmental protection department	33	8.1	6	7.1	3	5.3	12	11.1	9	16.7	3	2.9
Water resources department	183	44.9	42	50.0	27	47.4	48	44.4	15	27.8	51	48.6
Propaganda department	18	4.4	0	0.0	3	5.3	6	5.6	6	11.1	3	2.9
Housing and urban, rural development department	27	6.6	0	0.0	6	10.5	12	11.1	3	5.6	6	5.7
Panel 4: Things to due to reducing pollution emergencies
Strengthening supervision	108	26.5	24	28.6	12	21.1	27	25.0	21	38.9	24	22.9
Resource management	174	42.7	33	39.3	33	57.9	33	30.6	24	44.4	51	48.6
Propaganda for protecting the knowledge	39	9.6	12	14.3	3	5.3	6	5.6	3	5.6	15	14.3
Increasing the intensity of the punishment	87	21.3	15	17.9	9	15.8	42	38.9	6	11.1	15	14.3