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Printed in the United States of America by the Center for Health Policy of IUPUI, Indianapolis, Indiana. Wright is the director of the Center for Health Policy; Professor of Health Policy and Management at IU Richard M.

F OREWORD FROM THE SEOW C HAIR

1 I NTRODUCTION

Indiana’s State Epidemiology and Outcomes Workgroup (SEOW)

This State Epidemiologic Profile Supplemental Report is a product of the Extension Grant and contains findings on substance abuse and mental health issues among the aforementioned high-risk populations. Currently, only limited data exist on alcohol or drug abuse and mental health problems among returning veterans, felons, clients with mental illness and substance use disorders, and LGBT individuals; in particular, data at the state level are sparse.

Unfortunately, these groups are often at a greater risk for substance abuse and mental illness and would benefit most from prevention and intervention efforts (Lambert & Wiebel, 1990). This report is a first step in helping the state of Indiana identify some critical issues as they relate to returning veterans, felons, Hoosiers with co-occurring disorders, and LGBT individuals.

MENTAL HEALTH AND SUBSTANCE USE AMONG U.S. VETERANS

Alcohol Use among Returning Veterans

Alcohol Use Prior To Enlistment

Alcohol Use among Soldiers in Service

Occupational factors as described by the authors referred to perceptions of alcohol policy enforcement (consistently enforced, enforced with favoritism, or not known), work problems and work-related stress (Ames et al., 2007). Freedom from constraints referred to freedom from family or other restrictive normative influences (Bray et al., 2005).

Alcohol Use among Returnees

Compared to those not assigned to an area of ​​combat operations, soldiers who recently returned from a combat area (Iraq) were more likely to engage in binge drinking (P=0.023) (Lande et al., 2008 ). A study by Killgore et al. 2008) showed that combat exposure (specifically, violent combat exposure, human trauma exposure, and having killed enemy or friend) was associated with increased prevalence of mental health problems and increased risk-taking (P<.001) among returning service members in the previous month.

Binge Drinking

Furthermore, the finding that Reserve/Guard members were at increased risk for certain health behaviors, including excessive alcohol use, was consistent across studies, raising the issue of the Reserve/Guard group's higher vulnerability in light of increased dependence of them in recent years. combat operations (Jacobson et al., 2008; Milliken et al., 2007; Resnik & Allen, 2007; Riddle et al., 2007; Vander Weg et al., 2006). A study based on the Department of Defense's 2005 assessment of health behaviors related to deployments to Iraq and Afghanistan reported that a total of 43.2 percent of active duty military personnel had at least one episode of binge drinking in the past 30 days (Stahre et al., 2009). .

Age as a Factor for Higher Alcohol Use

In addition to veterans returning from service, high levels of binge drinking were reported among active duty military personnel.

Mental Illnesses and Alcohol Abuse

Compared to abstainers, heavy alcohol users were more likely to meet screening criteria for anxiety (17.5 percent vs. heavy users reported more activity limitations due to poor mental health (4.8 percent vs. 2.0 percent) (U.S. Department of Defense , 2007).

Family and Community Reintegration Problems Related to Alcohol Misuse

In contrast to studies that linked MI to alcohol use or vice versa, Ferrier-Auerbach et al. (2009) reported that, after accounting for personality variables, mental health was not associated with any drinking variables. Others have suggested that exhibiting more violent behavior was associated with combating alcohol exposure and/or alcohol abuse among OEF/OIF returnees ( Fontana & Rosenheck, 2008 ; J. E. McCarroll et al., 2000 ).

Underuse of Professional Help

Some authors have suggested that alcohol dependence associated with PTSD may play a role in levels of verbal and physical aggression, particularly in combat-experienced soldiers (Killgore et al., 2008; Zoricic et al., 2003). However, the extent to which violent behavior could be attributed to exposure to combat has remained a matter of debate (Fontana. & Rosenheck, 2005; McCarroll et al., 2003; Ritchie, Benedek, Malone, & Carr-Malone, 2006).

Veterans Affairs Regulations on Qualifying for Assistance

Alcohol Abuse among Veterans in Indiana

However, we have faced various difficulties and delays in receiving the required information, partly due to the limited availability of human resources viz. lack of data analysts dedicated to the project at VA. The final data report we received from the VA was a breakdown of AUDIT-C scores among veterans who served at the Indianapolis VAMC.

Summary of Literature

Resources

Considerations for SEOW

The Alcohol Use Disorders Identification Test (AUDIT): Validation of a screening instrument for use in medical settings. A U.S. Veterans Administration post-deployment assessment of mental health screening for veterans returning from Iraq and Afghanistan.

Family Impact

SUBSTANCE ABUSE AND MENTAL ILLNESS AMONG THE INCARCERATED IN THE

UNITED STATES

Substance Abuse among the Incarcerated

Mental Illness among the Incarcerated

Co-occurring Disorder (COD) among the Incarcerated

Treatment

Recidivism after Incarceration

Costs

SUBSTANCE ABUSE AND MENTAL ILLNESS AMONG THE INCARCERATED IN INDIANA

Indiana’s Prison Population

Indiana Department of Correction New Admissions

Indiana Department of Correction Adult Recidivism

Offenders who had no behavioral infractions while incarcerated were 28% less likely to reoffend than offenders with one or more behavioral infractions while incarcerated. Offenders who participated in IDOC's work release program were 27% less likely to reoffend than those who did not participate (Indiana Department of Correction, IDOC, 2011).

Substance Abuse Management System (SAMS) II

Offenders who were younger in age were more likely to reoffend and return to IDOC than older offenders (Indiana Department of Correction (IDOC), 2011). IDOC offenders who had visits from family or friends were 14% less likely to reoffend than offenders who did not receive visits from family or friends.

Population Characteristics

Eighty-four percent of all repeat offenders in Indiana were offenders serving less than two years.

Substance Abuse Findings

Speedball: The lifetime prevalence of combined use of cocaine and heroin (or another opiate) was 20.8% in our sample, and 8.1% continue to use speedballs monthly.

Focus Group Notes

Considerations for the SEOW

APPENDIX 3A

New Admissions

Triple stigma: Persons with mental illness and substance abuse problems in the criminal justice system. Predictors of access to substance abuse services among individuals with mental disorders released from correctional custody.

CO-OCCURRING DISORDER IN THE UNITED STATES

Prevalence

Complications and Consequences

A major reason for this is the lack of treatment options that integrate substance abuse and mental health (SAMHSA, 2002). Despite the fact that abstinence is the defining characteristic of addiction recovery, research has shown that consumers understand and experience mental health recovery in a similar way to substance abuse recovery.

Gaps in Research

The integration of mental health treatment options with substance abuse services is important, since mental health and substance abuse treatment systems tend to approach recovery quite differently, each from their respective focal disorders. Differences between the ways mental health and substance abuse services operate are so pervasive that providers often refuse to serve consumers with a dual diagnosis (Anthony, 1993; Davidson & White, 2007; Frank. & Glied, 2006).

CO-OCCURRING DISORDER IN INDIANA Data Assessment Registry Mental Health

Association between independent variables and treatment outcome: Table 4.4 displays the results of the logistic regressions examining the association between. All of the independent variables were significant predictors of whether or not treatment was successfully completed.

Table 4.1   Descriptive Statistics of Sample Related to Key Variables of Interest
Table 4.1 Descriptive Statistics of Sample Related to Key Variables of Interest

Focus Groups

Number and Percentage of Clients with Serious Mental Illness (SMI) Only, by County (DARMHA, 2011)

Percentage of SMI within DARMHA

Number and Percentage of Clients with Substance Use Disorder (SUD) Only, by County (DARMHA, 2011)

Percentage of SUD within DARMHA

Number and Percentage of Clients with Co-occurring Disorder (COD), by County (DARMHA, 2011)

Percentage of COD within DARMHA

Number and Percentage of Clients with Other Mental Illness (MI), by County (DARMHA, 2011)

Percentage of Other MI within DARMHA

Recovery from mental illness: Guiding vision of the mental health service system in the 1990s. Rockville, MD: Substance Abuse and Mental Health Services Administration and Center for Mental Health Services.

INTRODUCTION

DEFINITIONS

Gender role conformity refers to the extent to which an individual's gender expression conforms to the cultural norms typical of the person's gender. Other transgender persons may decide not to transition but simply act and present themselves in ways that are more consistent with their gender identity (Herbst et al., 2008).

LITERATURE REVIEW

Bisexual women have also been found to be more likely to engage in heavy drinking than heterosexual or lesbian women (McCabe et al., 2005; only one study found that gay and bisexual men were more likely than heterosexual men to meet the criteria for a diagnosis of alcohol dependence (McCabe et al., 2009).

MENTAL HEALTH OUTCOMES FOR LESBIAN, GAY, BISEXUAL, AND

A recent review of YRBSS data by the CDC (Centers for Disease Control and Prevention, 2011b) covering seven states and six cities reached similar conclusions: the mean prevalence rate for suicidal ideation for gay or lesbian students was 29.6% and for bisexual students it was 40.3%, both estimates are higher than the average prevalence rate for heterosexual students of 11.7%. Similarly, the mean prevalence rate for suicide attempt was also higher for gay or lesbian students (25.8%) and for bisexual students (28.0%) than for heterosexual students (6.4%).

MENTAL HEALTH OUTCOMES FOR LESBIAN, GAY, AND BISEXUAL ADULTS

Results from the Rhode Island YRBSS revealed that the prevalence rate of suicidal ideation in the LGB and questioner1 population was approximately 33.5%, while the prevalence rate for planning suicide and attempted suicide was 26.8% and 31.0%. A Boston-based study using school-based survey data reported that the prevalence rates of suicidal ideation for LGBT boys were 29.2% and for LGBT girls at 30.8%, both of which were significantly higher than the prevalence rates of 3.7% and 7 .6%. reported rates for heterosexual boys and girls, respectively.

MENTAL HEALTH OUTCOMES FOR TRANSGENDER ADULTS

These estimates were all substantially higher than and 6.6% prevalence rates reported for heterosexual youth for this behavior (Jiang, Perry, & Hesser, 2010). Although population-based studies have not asked respondents about their gender status, there is some evidence to suggest that transgender youth, like LGB youth, may also be at higher risk for suicidal thoughts and actions.

FACTORS ASSOCIATED WITH SUBSTANCE USE AND MENTAL HEALTH SYMPTOMS

Family support regarding gender or sexual orientation appears to be related to substance use and mental health (Bouris et al., 2010). Compared to heterosexual women, lesbians and bisexual women have been found to be more likely to have suicidal thoughts, use marijuana, and use hard drugs.

DATA AVAILATIBLITY IN INDIANA

Parental support mediated the relationship between sexual orientation and depression, suicidal ideation, marijuana use, and hard drug use, such that lesbian and bisexual women with less parental support were more likely to experience negative health outcomes. Parental support mediated this relationship; gay men with less parental support were more likely to have suicidal thoughts.

BEHAVIORAL RISK FACTOR SURVEILANCE SURVEY RESULTS

Parental care was found to mediate the relationship between sexual attraction and mental health outcomes. Respondents who report that their mental health was not good for 15 or more of the past 30 days are categorized as having poor mental health for the past 30 days.

Table 5.1   Percentage (95% Confidence Interval) of  Indiana Adults Drinking Alcohol (BRFSS, 2011)
Table 5.1 Percentage (95% Confidence Interval) of Indiana Adults Drinking Alcohol (BRFSS, 2011)

THE SEOW SURVEY

The SEOW survey asked respondents two standard BRFSS mental health questions about general mental health in the past 30 days and lifetime diagnosis of depression. No differences were observed for subsamples of sexual orientation and gender status in the segment who experienced 15 or more days of poor mental health.

Table 5.5   Percentage (95% Confi  dence Interval) of LGBT Reporting Tobacco Use (SEOW LGBT Survey, 2012)
Table 5.5 Percentage (95% Confi dence Interval) of LGBT Reporting Tobacco Use (SEOW LGBT Survey, 2012)

ADDITIONAL ANALYSES ON RISK FACTORS FOR SUBTANCE USE AND MENTAL HEALTH

In terms of transgender status, transgender individuals reported higher levels of LGBT disorders (see Table 5.15). Respondents with higher levels of LGBT disorders reported higher levels of depression as measured by the PHQ-8.

Table 5.11   Predictors of Lifetime Diagnosis of Depression
Table 5.11 Predictors of Lifetime Diagnosis of Depression

FOCUS GROUP RESULTS

Mental health problems and substance use among Latino and Asian American lesbian, gay, and bisexual adults. Prevalence of mental disorders, psychological distress, and mental health care use among lesbian, gay, and bisexual adults in the United States.

6 C ONCLUSION

SUMMARY OF CHAPTERS 2-5

Returning Veterans

Indiana’s Offender Population

Data from IDOC's Substance Abuse Management System (SAMS) II show that more than 5,500 of Indiana's inmates received substance abuse treatment services in 2012; most of them were male (87 percent), ages 27 to 37 (40 percent), white (64 percent) and never married (51 percent). Among inmates receiving substance abuse treatment within the IDOC system, marijuana was the most commonly reported illicit drug: 81 percent reported monthly use.

Individuals with Co-occurring Disorder (COD)

Drug use and mental illness are common among offenders and often contribute to their incarceration and recidivism. Evidence-based treatment services within the prison system as well as for those reentering society should be a priority for this population.

LGBT

Monthly use was also reported for alcohol (67 percent), cocaine/crack (35 percent), opiates (30 percent), and speedballs2 (8 percent).

Final Remarks

Gambar

Table 3.1   Estimated Percentage of Sentenced  Prisoners under State and Federal Jurisdiction, by  Gender and Race/Ethnicity (December 31, 2011)
Table 3.2   Indiana’s Adult Offender Population, 2011 Table 3.3   Indiana’s Juvenile Offender Population, 2011Source: Indiana Department of Correction, 2011
Figure 3.1   Indiana’s Adult Offender Population, by Gender, 1997-2011
Table 3.5   Indiana’s New Admissions Juvenile Offender  Population, 2011
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Referensi

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