AIDS Research and Treatment / 2016 / Article / Tab 1

Research Article

Feasibility and Acceptability of a Smartphone App for Daily Reports of Substance Use and Antiretroviral Therapy Adherence among HIV-Infected Adults

Table 1

Demographic, clinical, substance use, and mobile technology use characteristics.

Measure (%)

Demographic characteristics
Age [M (SD)]48.4 (9.49)
Sex
 Female4 (15.4)
 Male20 (76.9)
 Transgender2 (7.6)
Sexual identity
 Straight/heterosexual12 (46.2)
 Gay/homosexual9 (34.6)
 Bisexual3 (11.5)
 Other2 (7.7)
Race
 African American14 (53.8)
 White9 (34.6)
 American Indian1 (3.8)
 Other2 (7.7)
Education
 High school or less15 (57.7)
 Some college or more11 (42.3)
Employment
 Not employed21 (80.8)
 Full or part-time 5 (19.2)
Annual income
 <20,00022 (84.6)
 ≥20,0004 (15.4)
Clinical characteristics
Undetectable viral load18 (69.2)
Years since diagnosis [M (SD)]16.92 (8.65)
Substance use characteristics
Cigarette smoking
 Daily16 (61.5)
 <Daily5 (19.2)
 None5 (19.2)
AUDIT score [M (SD)]17.08 (6.56)
Hazardous drinker (AUDIT score 8–15)10 (38.5)
Harmful drinker (AUDIT score 16–19)3 (11.5)
Probable alcohol dependence (AUDIT score ≥20)4 (15.4)
Marijuana use (past month)16 (61.5)
Crack use (past month)7 (26.9)
Mobile technology and Internet use characteristics
Mobile phone ownership18 (69.2)
Smartphone ownership9 (34.6)
Mean number of mobile phone numbers in past six months (SD)1.50 (2.04)
Average number of texts sent on a daily basis
 0–99 (50)
 10–497 (38.9)
 50+2 (11.1)
Using apps on phone in past month11 (61.1)
Using apps on phone on a daily basis9 (81.8)
Internet use in past month21 (80.8)
Mean number of hours per day on Internet3.30 (2.64)

participants who indicate mobile phone ownership.
participants who report any app use in past month.