Effectiveness of a web-based intervention in reducing binge drinking among nightclub patrons

Baldin, Yago C; Sanudo, Adriana; Sanchez, Zila M

doi:10.11606/S1518-8787.2018052000281

Acessibilidade / Reportar erro

Brasil

Español English

sumário « anterior atual seguinte »

Sumário

Original Articles • Rev. Saúde Pública 52 • 2018 • https://doi.org/10.11606/S1518-8787.2018052000281 copy

Effectiveness of a web-based intervention in reducing binge drinking among nightclub patrons

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

OBJECTIVE

To evaluate the effectiveness of a web-based intervention in reducing binge drinking among nightclub patrons after six months.

METHODS

We carried out a website survey with probabilistic sample in 31 nightclubs in the city of São Paulo, Brazil, which originated a randomized controlled trial with 1,057 participants. Those classified as problem drinkers (n = 465) using the Alcohol Use Disorders Identification Test were randomized into two study groups – intervention and control. The web-based intervention consisted of exposing the participants to a normative feedback screen about their alcohol consumption, characterizing the risks associated with amount consumed, money spent on drinks, drinking and driving, risk classification of Alcohol Use Disorders Identification Test, and tips to reduce damage.

RESULTS

There was a significant reduction in the practice of binge drinking in the week estimated at 38% among participants in the intervention group after six months (p < 0.05). However, there was no significant reduction in the outcomes when we analyzed the intervention and control groups and at baseline and after sixth months, simultaneously.

CONCLUSIONS

We cannot conclude that digital tools reduce the pattern of binge drinking among party goers in São Paulo. More studies are needed with this methodology because of its attractiveness to this type of group, given the privacy and speed that personalized information is transmitted.

DESCRIPTORS
Binge Drinking; prevention & control; Internet; Evaluation of the Efficacy-Effectiveness of Interventions; Randomized Controlled Trial

Variable		Total (n = 465)		Group				t	p
		Total (n = 465)		Intervention (n = 224)		Control (n = 241)
		n	%	n	%	n	%
Age (years)								-1.265	0.237
	Average (SD)	24.7 (6.0)		24.3 (5.7)		25.0 (6.2)
	Minimum-Maximum	18–55		18–50		18–55
Sex								2.729	0.099
	Male	300	64.5	136	60.7	164	68.0
	Female	165	35.5	88	39.3	77	32.0
ABEP								3.744	0.852
	A	139	29.9	68	30.4	71	29.5
	B	261	56.1	123	54.9	138	57.2
	C, D, or E	65	14.0	33	14.7	32	13.3
AUDIT score								-1.050	0.332
	Average (SD)	12.6 (4.1)		12.4 (4.0)		12.8 (4.2)
	Minimum-Maximum	8–33		8–27		8–33
AUDIT								0.940	0.639
	Risk use	333	71.6	164	73.2	169	70.1
	Harmful use	100	21.5	47	21.0	53	22.0
	Dependence	32	6.9	13	5.8	19	7.9

Variable		Total (n = 465)		Participants (n = 156)		Losses (n = 309)		t	p
Variable		N	%	n	%	n	%	t	p
Group								0.573	0.449
	Intervention	224	48.2	79	50.6	145	46.9
	Control	241	51.8	77	49.4	164	53.1
Age (years)								0.171	0.865
	Average (SD)	24.7 (6.0)		24.7 (5.4)		24.6 (6.2)
	Minimum-Maximum	18–55		18–50		18–55
Sex								0.005	0.942
	Male	300	64.5	101	64.7	199	64.4
	Female	165	35.5	55	35.3	110	35.6
ABEP								0.954	0.621
	A	139	29.9	51	32.7	88	28.5
	B	261	56.1	85	54.5	176	57.0
	C, D, or E	65	14.0	20	12.8	45	14.5
Initial AUDIT_score								-0.678	0.542
	Average (SD)	12.6 (4.1)		12.4 (4.1)		12.7 (4.1)
	Minimum-Maximum	8–33		8–27		8–33
Initial _AUDIT								0.111	0.940
	Risk use	333	71.6	113	72.5	220	71.2
	Harmful use	100	21.5	33	21.1	67	21.7
	Dependence	32	6.9	10	6.4	22	7.1

		Groups
Variable		Intervention (n = 224)			Control (n = 241)			Comparison between groups^a a Reference: control group.				Intervention effect in six months^b b Generalized linear model with Stata xtlogit procedure adjusted by group effect, time, group*time, sex, age, and ABEP. Reference: control group.
		n	%	95%CI	n	%	95%CI	OR_c^a a Reference: control group.	95%CI	OR_adj^b b Generalized linear model with Stata xtlogit procedure adjusted by group effect, time, group*time, sex, age, and ABEP. Reference: control group.	95%CI	OR_c^a a Reference: control group. (95%CI)	p	OR_adj^b b Generalized linear model with Stata xtlogit procedure adjusted by group effect, time, group*time, sex, age, and ABEP. Reference: control group. (95%CI)	p
Intention-to-treat – ITT
BD_month
	Baseline	161	71.9	66.0–77.8	183	75.9	70.5–81.3	0.81	0.53–1.23	0.79	0.52–1.20	0.97 (0.48–1.94)	0.930	0.98 (0.49–1.98)	0.959
	Six months	51	63.9	53.3–73.8	54	69	59.0–79.0	0.78	0.41–1.49	0.77	0.40–1.48	0.97 (0.48–1.94)	0.930	0.98 (0.49–1.98)	0.959
BD_week
	Baseline	119	53.4	46.5–59.9	137	56.8	50.6–63.1	0.87	0.60–1.25	0.91	0.63–1.31	0.92 (0.52–1.66)	0.795	0.92 (0.51–1.67)	0.794
	Six months	32	41.8	31.8–51.8	34	47.2	37.0–57.4	0.80	0.45–1.44	0.84	0.46–1.51	0.92 (0.52–1.66)	0.795	0.92 (0.51–1.67)	0.794
Lack of control
	Baseline	111	49.8	43.2–56.3	120	49.8	43.5–56.1	0.99	0.69–1.44	1.01	0.69–1.45	0.56 (0.30–1.03)	0.062	0.55 (0.30–1.02)	0.058
	Six months	35	43.9	33.6–54.2	49	58.4	48.1–68.7	0.56	0.30–1.01	0.55	0.30–1.01	0.56 (0.30–1.03)	0.062	0.55 (0.30–1.02)	0.058
Last Observation Carried Forward – LOCF
BD_month
	Baseline	161	71.9	66.0–77.8	183	75.9	70.5–81.3	0.81	0.53–1.23	0.79	0.52–1.20	0.98 (0.75–1.29)	0.901	0.99 (0.74–1.31)	0.928
	Six months	161	68.3	62.2–74.4	183	73	67.4–78.6	0.80	0.53–1.19	0.78	0.52–1.16	0.98 (0.75–1.29)	0.901	0.99 (0.74–1.31)
BD_week
	Baseline	119	53.4	46.8–59.9	137	56.8	50.6–63.1	0.87	0.60–1.25	0.91	0.62–1.31	0.94 (0.76–1.17)	0.591	0.94 (0.75–1.17)	0.580
	Six months	111	49.8	43.2–56.3	132	54.8	48.5–61.0	0.82	0.57–1.18	0.85	0.59–1.23	0.94 (0.76–1.17)	0.591	0.94 (0.75–1.17)	0.580
Lack of control
	Baseline	111	49.8	43.2–56.3	120	49.8	43.5–56.1	0.99	0.69–1.44	1.00	0.69–1.45	0.90 (0.72–1.12)	0.352	0.90 (0.71–1.13)	0.352
	Six months	106	47.5	41.0–54.1	121	50.2	43.9–56.5	0.90	0.62–1.29	0.90	0.62–1,30	0.90 (0.72–1.12)	0.352	0.90 (0.71–1.13)	0.352

Faculdade de Saúde Pública da Universidade de São Paulo Avenida Dr. Arnaldo, 715, 01246-904 São Paulo SP Brazil, Tel./Fax: +55 11 3061-7985 - São Paulo - SP - Brazil
E-mail: revsp@usp.br

Acompanhe os números deste periódico no seu leitor de RSS

[1] Correspondence: Zila M Sanchez Departamento de Medicina Preventiva – UNIFESP Rua Botucatu, 740 4° andar 04023-900 São Paulo, SP, Brasil E-mail: zila.sanchez@unifesp.br