Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application

Table 3 Characteristics of Drinkaware app users who completed an interview

Interviewee Identifier	Gender	Age bracket (years)	Risk profile	Motivation for downloading the app
A1	Female	25–44	Low risk	To reduce drinking
A2	Female	45–60	High risk	No information
B1	Male	45–60	High risk	To reduce drinking
B2	Female	25–44	Low risk	To be healthier
C1	Male	61–64	Low risk	To reduce drinking
C2	Female	45–60	High risk	To lose weight
C3	Female	25–44	High risk	To be healthier
C4	Female	45–60	Low risk	Just curious
C5	Female	25–44	Low risk	To be healthier
C6	Female	45–60	High risk	To reduce drinking
C7	Female	45–60	High risk	Just curious
C8	Female	25–44	Low risk	To be healthier
C9	Male	25–44	Low risk	To reduce drinking
C10	Female	17–24	High risk	To reduce drinking
C11	Male	25–44	High risk	To reduce drinking
C12	Male	45–60	High risk	Just curious
C13	Male	25–44	High risk	To reduce drinking
C14	Female	45–60	High risk	Just curious
C15	Male	25–44	High risk	No information
C16	Male	25–44	Low risk	Just curious
C17	Male	17–24	High risk	To reduce drinking

ISSN: 1471-2458