AOD Associated Consequences, AOD Misuse
Conditions
Keywords
alcohol, young adult veterans, brief intervention, online, perceived norms
Brief summary
The primary objective of the research study is to test the feasibility of a brief Internet-based intervention to reduce heavy alcohol use among young adult veterans of wars in Iraq and Afghanistan. Veterans are recruited through the social media website Facebook in two phases. In the first phase, investigators collect data from 800 veteran participants to document and analyze drinking norms in this population. In the second phase, investigators use the norms collected in Phase 1 and information from the analyses to develop and pilot test an online intervention with young adult veteran participants. Six hundred participants are recruited through Facebook and randomly assigned to intervention (N = 300) or control (N = 300) conditions. It is hypothesized that those in the intervention condition will drink less at a one-month follow-up period than those in the control condition. Investigators also collect feedback from participants on the usability of the online intervention.
Detailed description
This study was conducted in two phases with the main goal of developing and testing a very brief online program to reduce heavy alcohol use among young adult veterans in the United States. In the first phase, we examined how the social media website Facebook could be used to reach veterans in the community for the intervention effort. Although veterans are an at-risk group for heavy drinking and mental health problems, few seek care. Thus, we were able to document that targeted Facebook advertisements can be used to reach out to veterans and provide them with an alcohol reduction program that they likely would not have received otherwise. In the second phase, we used the data we collected from participants in the first phase to develop a personalized normative feedback intervention. This intervention was very brief and online, and showed young veterans information to correct their misperceptions about the drinking behavior of their peers. For example, in the intervention, young veterans would be asked how much they believe other veterans like themselves drink alcohol. Then, they would view information about veterans like themselves that showed them that other veterans do not drink as much as they think they do. This is important because much research has documented that perceptions about how much others drink is a major factor contributing to how much one drinks themselves. Thus, correcting these misperceptions has been a primary strategy for reducing drinking among young people. These norms correction strategies have mostly been tested with college students or other non-veteran young adult groups, and when they have been tested with veterans they have been tested within much lengthier, multicomponent interventions. Our study was the first to test the norms correction strategy alone with young veterans using an online design meant to reach veterans in the community through recruitment on Facebook.
Interventions
Participants receive behavioral norms feedback based on their response to items in a baseline survey. Personal responses are presented along with perceptions of other same gender veterans and actual drinking norms of same gender veterans.
Sponsors
Study design
Eligibility
Inclusion criteria
1. United States veteran from Operation Enduring Freedom, Operation Iraqi Freedom, or Operation New Dawn who has been discharged or separated from the Army, Navy, Marines, or Air Force and is not currently in the reserves 2. between the ages of 18 and 34 3. the ability to read English (also a requirement of military service) 4. access to a computer and the Internet 5. has an email address 6) an AUDIT score of \>4 (men) or \>3 (women) in order to reach those who may benefit from an intervention targeted toward reducing alcohol misuse
Exclusion criteria
* None besides not meeting inclusion criteria
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Alcohol Use | Past month (30 days) | Total drinks per week in the past 30 days |
| Alcohol-related Consequences | Past month (30 days) | Brief Young Adult Alcohol Consequences Questionnaire. This is a 21 item measure of alcohol-related consequences experienced by young adults. Participants indicate whether or not they have experienced each of the consequences in the past month (1 = yes, 0 = no). Scores range from 0 to 21 with higher scores indicated a greater number of consequences experienced. Citation: Kahler, C. W., Strong, D. R., & Read, J. P. (2005). Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The Brief Young Adult Alcohol Consequences Questionnaire. Alcoholism: Clinical and Experimental Research, 29(7), 1180-1189. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Personalized Normative Feedback Intervention participants receive feedback correcting their misperceptions of the drinking behavior and attitudes of fellow veterans
Personalized normative feedback: Participants receive behavioral norms feedback based on their response to items in a baseline survey. Personal responses are presented along with perceptions of other same gender veterans and actual drinking norms of same gender veterans. | 388 |
| Control Control participants receive feedback correcting their misperceptions of the video game playing behavior and attitudes of fellow veterans | 396 |
| Total | 784 |
Baseline characteristics
| Characteristic | Control | Total | Personalized Normative Feedback |
|---|---|---|---|
| Age, Continuous | 28.9 years STANDARD_DEVIATION 3.5 | 28.9 years STANDARD_DEVIATION 3.4 | 28.8 years STANDARD_DEVIATION 3.3 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 46 Participants | 82 Participants | 36 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 350 Participants | 702 Participants | 352 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 10 Participants | 19 Participants | 9 Participants |
| Race (NIH/OMB) Asian | 4 Participants | 8 Participants | 4 Participants |
| Race (NIH/OMB) Black or African American | 18 Participants | 32 Participants | 14 Participants |
| Race (NIH/OMB) More than one race | 20 Participants | 45 Participants | 25 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 1 Participants | 3 Participants | 2 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 9 Participants | 13 Participants | 4 Participants |
| Race (NIH/OMB) White | 334 Participants | 664 Participants | 330 Participants |
| Sex: Female, Male Female | 70 Participants | 131 Participants | 61 Participants |
| Sex: Female, Male Male | 326 Participants | 653 Participants | 327 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | — / — | — / — |
| other Total, other adverse events | 0 / 388 | 0 / 396 |
| serious Total, serious adverse events | 0 / 388 | 0 / 396 |
Outcome results
Alcohol-related Consequences
Brief Young Adult Alcohol Consequences Questionnaire. This is a 21 item measure of alcohol-related consequences experienced by young adults. Participants indicate whether or not they have experienced each of the consequences in the past month (1 = yes, 0 = no). Scores range from 0 to 21 with higher scores indicated a greater number of consequences experienced. Citation: Kahler, C. W., Strong, D. R., & Read, J. P. (2005). Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The Brief Young Adult Alcohol Consequences Questionnaire. Alcoholism: Clinical and Experimental Research, 29(7), 1180-1189.
Time frame: Past month (30 days)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Personalized Normative Feedback | Alcohol-related Consequences | 3.8 consequences at follow-up month | Standard Deviation 5.6 |
| Control | Alcohol-related Consequences | 5.3 consequences at follow-up month | Standard Deviation 6.3 |
Alcohol Use
Total drinks per week in the past 30 days
Time frame: Past month (30 days)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Personalized Normative Feedback | Alcohol Use | 9.9 drinks per week at follow-up month | Standard Deviation 12.1 |
| Control | Alcohol Use | 13.4 drinks per week at follow-up month | Standard Deviation 14.8 |