Inequalities in alcohol consumption and cell phone use while driving motor vehicles

Soratto, Jacks; Meller, Fernanda de Oliveira; Miranda, Vanessa Iribarrem Avena; Tomasi, Cristiane Damiani; Temporão, Jose Gomes; Schäfer, Antônio Augusto

doi:10.1590/1983-1447.2022.20210161.en

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Original Article • Rev. Gaúcha Enferm. 43 • 2022 • https://doi.org/10.1590/1983-1447.2022.20210161.en copy

Inequalities in alcohol consumption and cell phone use while driving motor vehicles

Desigualdades en el consumo de alcohol y uso del teléfono celular durante la conducción de vehículos motorizados

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Objective:

To evaluate social inequalities of Brazilians in alcohol consumption and cell phone use while driving motor vehicles.

Methods:

Cross-sectional study conducted with people who drive (n=23,474) in 2019. The outcomes adopted were cell phone use and alcohol consumption while driving, associated with the variables gender, age group, skin color, education and macro-region of housing and analyzed using the slope index of inequality using logistic regression.

Results:

The inequalities related to alcohol consumption and driving were identified in adults with brown skin color (7.8) linked to the North region (6.8). As for cell phone use while driving, they were higher for the younger age group (19.4) and individuals with higher education (27.1).

Conclusion:

Cell phone use and alcohol consumption while driving motor vehicles have social inequalities regarding the age group and education, and skin color and macro-region respectively.

Keywords:
Socioeconomic factors; Ethnic inequality; Distracted driving; Driving under the influence; Cell phone; Alcohol drinking

Variables	Total	Alcohol consumption and driving			Cell phone use and driving
Variables	%	%	CI95%	p-value^*	%	CI95%	p-value^*
Gender				<0.001			0.121
Male	64.2	26.9	24.6-29.1		20.9	19.4-22.4
Female	35.8	15.7	13.6-17.8		19.2	17.6-20.8
Age group				0.005			<0.001
18 to 29 years	27.5	21.9	18.5-25.4		25.6	22.9-28.4
30 to 39 years	24.9	27.8	24.0-31.6		23.4	21.1-25.7
40 to 49 years	19.1	23.9	20.7-27.2		21.8	19.4-24.2
50 to 59 years	15.6	22.9	19.0-26.9		13.9	11.8-15.9
60 or more	12.9	17.3	14.6-19.9		8.2	6.8-9.7
Skin color				0.062			0.039
White	49.1	21.9	19.5-24.3		22.1	20.4-23.8
Black	9.4	21.6	15.5-27.8		18.7	14.6-22.8
Brown	41.5	26.4	23.6-29.2		19.1	17.4-20.7
Education level				0.293			<0.001
0 to 4	6.2	19.1	12.2-26.1		7.4	3.8-11.1
5 to 8	11.3	26.0	19.4-32.7		11.0	8.2-13.7
9 to 11	34.6	21.9	19.0-24.7		17.0	15.1-18.9
12 or more	47.9	24.5	22.2-26.8		26.5	24.8-28.1
Macro-region				0.008			0.003
North	10.0	29.3	26.0-32.5		20.0	18.1-21.8
Northeast	21.9	23.5	21.1-25.9		22.2	20.7-23.8
Midwest	15.7	27.1	24.0-30.3		23.4	21.2-25.6
Southeast	42.6	21.1	17.7-24.5		18.3	16.0-20.6
South	9.8	22.7	19.4-26.0		19.9	17.6-22.2
Total		20.3	19.2-21.4		23.5	21.8-25.2

Coefficient	Age group
Coefficient	Coefficient	Standard error	p-value^*
Alcohol consumption and driving	-0.03	2.9	0.345
Cell phone use and driving	-19.4	2.0	<0.001
	Skin Color
	Coefficient	Standard error	p-value^*
Alcohol consumption and driving	7.8	3.3	0.019
Cell phone use and driving	-5.7	2.2	0.010
	Education level
	Coefficient	Standard error	p-value^*
Alcohol consumption and driving	3.6	3.6	0.319
Cell phone use and driving	27.1	2.4	<0.001
	Macro-region
	Coefficient	Standard error	p-value^*
Alcohol consumption and driving	-6.8	2.5	0.006
Cell phone use and driving	-4.4	1.7	0.009

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[1] Corresponding author:
Jacks Soratto E-mail: jackssoratto@gmail.com