| Literature DB >> 24670037 |
Xingdi Hu1, Virginia J Dodd, James C Oliverio, Robert L Cook.
Abstract
BACKGROUND: Alcohol misuse remains a major risk factor for contracting sexually transmitted diseases (STDs) not typically addressed in STD clinic settings. Information and communication technology (ICT) can offer new avenues to deliver evidence-based screening and treatment for problematic drinking, however, few data exists regarding the utilization of ICT among STD clinic attendees with coexisting drinking problems. The objectives of this study are to identify STD clinics attendees with hazardous drinking, to examine socio-demographic factors associated with ICT use, and to explore individuals' interests in engaging in ICT-based health interventions.Entities:
Mesh:
Year: 2014 PMID: 24670037 PMCID: PMC3974195 DOI: 10.1186/1756-0500-7-178
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Socio-demographic characteristics of the study population (N = 396)
| | | ||
|---|---|---|---|
| Gender | | | |
| Male | 134 (34) | 66 (52)
| 64 (25) |
| Female | 258 (66) | 60 (48) | 196 (75) |
| Age (years) | | | |
| 14-24 | 261 (68) | 74 (60)
| 185 (73) |
| 25-34 | 76 (20) | 33 (27) | 41 (16) |
| 35+ | 46 (12) | 17 (13) | 27 (11) |
| Race | | | |
| White | 104 (27) | 55 (44)
| 49 (19) |
| Black | 234 (60) | 54 (43) | 175 (67) |
| Hispanic | 32 (8) | 11 (9) | 21 (8) |
| Other
| 21 (5) | 6 (5) | 15 (6) |
| Education | | | |
| High school degree/GED or less | 223 (57) | 57 (45)
| 161 (72) |
| Some college/vocational degree | 131 (33) | 44 (35) | 86 (33) |
| 4 year college graduate or more | 38 (10) | 25 (20) | 13 (5) |
| Employment | | | |
| Unemployed | 231 (59) | 81 (64) | 146 (56) |
| Employed | 161 (41) | 45 (36) | 114 (44) |
| Marital status | | | |
| Married | 28 (7) | 7 (6) | 21 (8) |
| Member of unmarried couple | 305 (81) | 98 (83) | 201 (80) |
| Single | 44 (12) | 13 (11) | 31 (12) |
| Insurance coverage | | | |
| No | 199 (50) | 72 (58) | 124 (47) |
| Yes | 193 (50) | 53 (42) | 138 (53) |
| Marijuana use in the past year | | | |
| No | 208 (53) | 39 (31)
| 168 (64) |
| Yes | 182 (47) | 86 (69) | 93 (36) |
| Other drug
| | | |
| No | 334 (87) | 90 (73)
| 241 (93) |
| Yes | 52 (13) | 33 (27) | 19 (7) |
Data do not always sum up to total sample size due to missing data for specific variable.
Defined if AUDIT score > = 8 or binge drinking at least once monthly.
p < 0.01.
P < 0.05.
Include Asian, Native Hawaiian/Pacific Islander, and American Indian/Alaskan Native.
Include cocaine or crack, stimulants, anxiety medication or sedatives, prescription pain medications, hallucinogens, inhalants, and opioids.
ICT use among persons attending two non-urban STD clinics in Florida, USA
| Have internet access at least monthly?
| 363 (93) | 118 (94) |
| Have an email account? | 306 (80) | 102 (82) |
| Check email account at least once daily? | 180 (53) | 67 (58) |
| Currently own a cell phone? | 335 (87) | 105 (85) |
| Use cell phone applications?
| 366 (94) | 114 (91) |
| Enjoy playing a video game? | 239 (69) | 79 (66) |
| Play any video game console at least once monthly?
| 230 (59) | 89 (71) |
| Cell phone conversations are private? | 330 (84) | 107 (86) |
| Texting messages are private? | 325 (84) | 107 (86) |
| During your waiting time at clinic visits, would you be willing to play health related video games? | 265 (69) | 90 (73) |
| Would you be comfortable with receiving a reminder that you have STD results available with email or text messages?
| 156 (43) | 49 (41) |
| Would you be comfortable with receiving your actual test results with email or text messages?
| 71 (19) | 27 (23) |
Data do not always sum up to total sample size due to missing data for specific variable.
Defined if AUDIT score > = 8 or binge drinking at least once monthly.
Include internet access at home, work, school, library, or the friend’s house.
Include downloading ringtones, music, games, sending text message, or taking pictures.
Include Nintendo Wii, Playstation 2 or 3, Xbox360, Gameboy, and PS.
Proportion was computed based on respondents who reported having an email account or owning any cell phone.
Factors associated with ICT use among 126 hazardous drinkers
| Gender | | | | |
| Male | —
| — | — | |
| Female | | | | Ref |
| Age (years) | | | | |
| 14-24 | 1.8 (0.4, 8.4) | |||
| 25-34 | 13.6 (0.99, 186.5) | 1.2 (0.2, 6.1) | ||
| 35+ | Ref | Ref | Ref | Ref |
| Race | | | | |
| White | — | — | 0.1 (0.0, 1.4) | — |
| Black | | | 1.3 (0.1, 36.2) | |
| Hispanic | | | 1.0 (0.1, 13.1) | |
| Other
| | | Ref | |
| Education | | | | |
| High school degree/GED or less some | Ref | Ref | Ref | — |
| College/vocational degree | 2.4 (0.8, 7.7) | 4.0 (0.4, 40.0) | | |
| 4 Year college graduate or more | 9.1 (0.9, 86.9) | 2.9 (0.2, 54.7) | | |
| Employment | | | | |
| Unemployed | Ref | — | Ref | — |
| Employed | 2.1 (0.6, 7.2) | | 1.6 (0.5, 5.3) | |
| Marital status | | | | |
| Married | — | 0.3 (0.0, 16.1) | — | 3.4 (0.1, 76.2) |
| Member of unmarried couple | | 0.7 (0.1, 8.9) | | 1.5 (0.4, 5.9) |
| Single | | Ref | | Ref |
| Insurance | | | | |
| No | Ref | Ref | — | — |
| Yes | 2.2 (0.7, 6.9) | 7.9 (0.7, 94.7) |
Defined if AUDIT score > = 8 or binge drinking at least once monthly.
AOR indicates adjusted odds ratio; CI, confidence interval.
Variables not included in multivariable logistic regression models since statistically insignificance in bivariate analysis.
Include Asian, Native Hawaiian or Pacific Islander, and American Indian/Alaskan Native.
Significant associations (P<0.05) are highlighted in boldface.