The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×
Published Online:https://doi.org/10.1176/appi.ps.201600052

Abstract

Objective:

School-based interventions for preadolescents provide the opportunity, in a ubiquitous institutional setting, to attack stigmatizing attitudes before they are firmly entrenched, and thus they may reduce mental illness stigma in the overall population. This study evaluated the effectiveness of classroom-based interventions in reducing stigma and increasing understanding of mental illness and positive attitudes toward treatment seeking among sixth-grade students.

Methods:

In an ethnically and racially diverse sample (N=721), 40% of participants were Latino, 26% were white, and 24% were African American; the mean age was 11.5. In a fully crossed design, classrooms from a school district in Texas were randomly assigned to receive all three, two, one, or none of the following interventions: a PowerPoint- and discussion-based curriculum, contact with two college students who described their experiences with mental illness, and exposure to antistigma printed materials. Standard and vignette-based quantitative measures of mental health knowledge and attitudes, social distance, and help-seeking attitudes were assessed pre- and postintervention.

Results:

Printed materials had no significant effects on outcomes and were grouped with the control condition for analysis. For eight of 13 outcomes, the curriculum-only group reported significantly more positive outcomes than the control group; the largest between-group differences were for stigma awareness and action, recognition of mental illness in the vignettes, and positive orientation to treatment. The contact-alone group reported significantly more positive outcomes on three vignette-based measures.

Conclusions:

Results were most promising for a classroom-based curriculum that can be relatively easily disseminated to and delivered by teachers, offering the potential for broad application in the population.

Stigma critically influences the well-being and recovery of people with mental illnesses, affecting employment, income, social ties, quality of life, mastery, self-esteem, depressive symptoms, and access to medical and mental health services (115). In recognition of this problem, there has been a sustained effort to reduce stigma by educating the public about neurobiological bases of mental illnesses and available treatments, with the assumption that framing mental disorders as medically treatable “illnesses like any other” would reduce stigma (1619). There is clear evidence that the public has adopted this understanding and that mental health treatment is increasingly viewed as beneficial (2022) and sought by the public (23).

Nevertheless, these changes have not been accompanied by stigma reduction. Core aspects of stigma—emotional reactions, stereotypes, and social distance—remain unchanged or have worsened (20,21,24). What can explain this discrepancy? Research now shows that biological explanations tend to increase rather than decrease stigma (2527). Thus it may be necessary to address stigma directly rather than by changing causal beliefs. Stigmatizing attitudes and behaviors may also be harder to change than causal beliefs because the former involve emotions and can have personal consequences. Addressing these attitudes before they are firmly set may be a promising approach to reducing stigma, with evidence suggesting that stigmatization occurs as early as childhood and adolescence (2835). Therefore, the study reported here evaluated the effectiveness of a school-based intervention that directly focuses on stigma. Education- and contact-based interventions can reduce stigmatizing attitudes and behavioral intentions. Most studies focus on adults; fewer target adolescents (3640). We located only six studies that targeted pre–high school youths (4146). These studies, with samples ranging from 185 to 1,500 in more than 16 states, found significant reductions in stigma among youths between third and eighth grades. All employed a curriculum of some sort; one also included a contact intervention. Three studies included follow-ups of three to six months; three employed control conditions.

We implemented interventions designed to improve knowledge, attitudes, behavioral intentions, and behaviors about mental illness and help seeking among sixth-graders. To develop a stigma intervention that can be broadly disseminated, we evaluated a classroom-based curriculum, which was designed to appeal to teachers and students and easy for teachers to implement without specialized training. We also evaluated the effectiveness of a contact intervention and of an intervention in which classrooms were saturated with antistigma materials. Several aspects of social and psychological development led us to target sixth-graders rather than younger children. Preadolescents begin to understand that others have thoughts and feelings different from their own; preadolescents also include interpersonal and psychological features in their understanding of themselves and others and experience heightened social comparison (47).

In addition to augmenting a very small body of research, several strengths of the study allowed it to meaningfully extend what can be concluded from the existing literature. As in our study, previous studies have used a teacher-administered curriculum that does not entail extensive teacher training, suggesting that a relatively easily disseminated curriculum can reduce stigma. However, most of the previous studies relied on samples that involved teacher self-selection, allowing the possibility that effects will be found only when teachers favor an antistigma agenda. In our study, self-selection played a role at the school level but not the classroom level, which likely introduced less bias. Ours is the only study to include a fidelity measure, which allowed us to evaluate how faithfully the intervention was enacted in the classroom and whether fidelity was related to outcomes of the intervention. Finally, although our sample came from a single geographic locale, it provided excellent representation of the major racial-ethnic groups in the United States. All these features raise optimism that any reductions in stigma we found can generalize to the broad population.

Additional strengths introduced in this study include the evaluation of multiple interventions. Three of the previous studies included a control condition; however, in all but one case, the control condition was usual instruction. This leaves open the possibility that intervention per se—via novelty, special attention, and so forth—rather than intervention content produced attitude change. By testing three interventions, we were able to compare their effectiveness and attribute change to a particular intervention as opposed to intervention per se. Finally, by including vignettes describing specific disorders, we were able to assess changes in responses to these disorders as well as the more typical approach that focuses on the generic concept of “mental illness.”

Methods

Study Design

The delivery of the three interventions was independently varied in a fully crossed design, resulting in eight experimental cells, including a control group that received no interventions (Table 1). Sixteen middle schools (with separate zip codes) from an urban school district in Texas were ranked according to performance on the statewide standardized assessment of math, English, and science. Rankings based on percentage of families below the poverty line were nearly identical. We randomly assigned the top eight schools to one of eight cells; the bottom-ranked eight schools were then assigned to a cell in the reverse order so that, for example, the top- and bottom-ranked schools were paired. Each cell (two schools in each) was randomly assigned to a study condition. Before the study began, two schools dropped out for non–study-related reasons. The study was repeated during a second academic year with a new set of sixth-grade students in five of the original schools chosen because they had demographic characteristics similar to the lost schools. Thus a total of 19 classes from 14 schools were included in the study. There were no significant differences in sociodemographic characteristics between repeated and nonrepeated classrooms (results available on request).

TABLE 1. Antistigma interventions implemented at groups of matched schools and performance on a statewide standardized achievement testa

GroupInterventionStudents who passed a statewide standardized test (%)
CurriculumContactMaterialsSchool 1School 2Mean
1YesNoNo797075
2YesYesNo876275
3YesNoYes925976
4YesYesYes737273
5NoNoNo796874
6NoYesNo866475
7NoNoYes767174
8NoYesYes826674

aThe eight top-ranked schools (school 1) were matched with the eight lowest ranked schools (school 2). Two schools withdrew for non–study-related reasons, and the study was repeated in a second academic year with a new set of sixth-grade students in five of the original schools, chosen because they had demographic characteristics similar to the lost schools. Thus a total of 19 classes from 14 schools were included in the study.

TABLE 1. Antistigma interventions implemented at groups of matched schools and performance on a statewide standardized achievement testa

Enlarge table

Participants and Procedures

A total of 751 students (60% of those invited) agreed to participate. Of these, 721 (96%) completed the study. Loss to follow-up (N=30) did not differ by gender, school, or socioeconomic status, but it did differ by race-ethnicity, with African American students dropping out at a higher rate, mostly due to moving. Sociodemographic characteristics of the 721 participants and their families are presented in Table 2.

TABLE 2. Characteristics of 751 sixth-grade students and their families, by antistigma intervention group

CharacteristicTotal (N=751)Curriculum (N=210, 28%)Contact (N=218, 29%)Curriculum and contact (N=135, 18%)Contact (N=188, 25%)
N%N%N%N%N%
Age (M±SD)12.0±.611.0±.612.0±.612.0±.612.0±.6
Female406541095212658725410154
Race-ethnicitya
 Latino3014055261095047359249
 White195267837331558432413
 Black180245225502324185127
 Other 751025122612542111
English is primary language at homea5267016277137631077911762
No contact with mental illness150203316482227204323
Parent or guardian annual income <$50,000a518691205717279816014577
Parent or guardian education ≥12 yearsa6318419191172791188815281

ap<.01, for differences between intervention groups

TABLE 2. Characteristics of 751 sixth-grade students and their families, by antistigma intervention group

Enlarge table

Pre- and posttest instruments were self-administered in physical education classes on laptop computers from February to May and September to December 2012. Each class received its assigned combination of interventions within one week of pretesting. Posttest instruments were administered within a week after the intervention. Informed consent of participants and their parents or guardians, following the Helsinki guidelines, was obtained after procedures were fully explained. All students in the classroom were exposed to the assigned intervention(s); only the students who provided consent completed the assessment instruments. The Columbia University Medical Center Institutional Review Board approved the study.

Interventions

Curriculum.

Eliminating the Stigma of Differences is a three-module, three-hour curriculum delivered by teachers over a three- to six-day period. PowerPoint slides provide a platform for classroom discussion. The teacher’s guide provides suggestions for questions to pose and information to convey to the class, as well as suggested in-class exercises and homework assignments. A demonstration video is also included. All materials were extensively pretested. Module 1 addresses the bases on which we judge others to be different; the definition, causes, and consequences of stigma, including for students themselves; ways to end stigma; a definition and description of mental illness; causes of mental illness; treatment for mental illness; barriers to help seeking; how stigma applies to mental illness; and sharing personal experiences with people who have mental illness. Modules 2 and 3 address attention-deficit hyperactivity disorder, anxiety disorders, depression, schizophrenia, and bipolar disorder and include descriptions of the disorders, discussion of causes and treatments, and content that stimulates empathy. Suicide is also discussed. The curriculum employs principles of active learning and the encouragement of empathy throughout.

Contact.

Two college students—a 27-year-old male with a history of bipolar I disorder and a 24-year-old female with a history of bipolar II disorder—each made a ten-minute in-class presentation (20 minutes total) describing onset and course of their symptoms, hospitalizations and treatments, their feelings about the illness, coping strategies, and impact of the illness on social relationships and functioning at school and work. Based on previous research (48), the talks were constructed to moderately disconfirm stereotypes of mental illness. The speakers practiced to ensure standardization of the presentations. Teachers moderated the presentations, which were followed by questions and answers.

Printed materials.

Teachers prominently displayed posters in the classroom for two weeks and provided students with bookmarks. The materials focused on individuals’ personal traits and abilities as opposed to language that labels a person as “mentally ill.” The curriculum and printed materials are accessible through the Web site of Mental Health Connection of Tarrant County (http://www.mentalhealthconnection.org/anti_stigma_materials.php).

Outcome Measures

Our primary goals were to reduce stigmatizing attitudes, beliefs, behaviors, and behavioral intentions and increase recognition of mental illnesses and favorable attitudes toward help seeking. We assembled a comprehensive assessment package utilizing existing measures with established psychometric properties for children and adolescents, measures extensively tested in adults that we adapted for adolescents, and new items developed for the study. We developed composite scales by using exploratory factor analysis. Internal consistency reliability of the scales was adequate to excellent for the overall sample and within gender, race-ethnicity, and socioeconomic-status groups. All measures were pilot-tested with a racially and ethnically diverse group of youths in the target age range. Measures were organized in terms of knowledge and attitudes, behavior and behavioral intentions, personal help-seeking attitudes, and vignette-based questions. Following a long tradition in stigma research (14,15,49), we created two vignettes. One vignette character (Julia) met DSM-IV criteria for bipolar disorder, and the other (David) met criteria for social anxiety disorder. Participants read the vignettes and responded to questions about Julia and David. Table 3 summarizes information about the outcome measures. [Tables in an online supplement to this article present wording of items, responses, vignettes, and pretest descriptive statistics for all items.]

TABLE 3. Description of outcome measures used in the study

MeasureN itemsScoringaCronbach’s αSample item
Knowledge and attitudesb211, strongly agree, to 5, strongly disagree.78It would be embarrassing to have a mental illness; people with a mental illness tend to be violent and dangerous.
Behavior and behavioral intentions
 Stigma awareness and actionc81, occurred in past 2 weeks; 0, did not.67I heard people use slang terms about mental illness like “psycho,” “crazy,” or “looney” to put people down.
 Avoidance and discomfortc61, occurred in past 2 weeks; 0, did not.63I avoided a person who said odd things and behaved in strange ways.
 Social distanceb61, definitely no, to 4, definitely yes.89
 Social distance subscale, less acceptable formsd31, definitely no, to 4, definitely yes.81Would it be okay with you to work on a class project with someone with mental illness?
 Social distance subscale, more acceptable formsd31, definitely no, to 4, definitely yes.72Would it be okay with you to have someone with mental illness as a neighbor?
Personal willingness to seek help71, yes; 0, no.78I would talk to my doctor if I were having a mental health problem.
Vignette based
 Beliefs about vignette characters and their mental health condition61, not at all likely, to 4, very likelynaeJulia/David is in this situation because she/he is just a bad person. Julia/David is experiencing a mental illness. Julia’s/David’s situation will improve with treatment.
 Social distance from vignette characters (combined overall score)81, definitely no, to 4, definitely yes.92Would it be ok with you to live next door to Julia/David?
 Vignette help-seeking recommendations121, yes; 0, no.75Should Julia/David talk to a doctor about her/his problem?

aAll scales are scored such that a higher score indicates more of the named construct.

bAdapted from Wahl et al. (42)

cScales combine attitude/awareness and behavioral items.

dThe scale used to measure social distance was divided into more and less acceptable forms of contact on the basis of pre- and posttest means on social distance items. The overall scale was used as the primary outcome measure.

eAnalyzed as separate items

TABLE 3. Description of outcome measures used in the study

Enlarge table

Other Variables

Personal contact with mental illness was assessed by a method used previously (32). Scores indicated the most intimate level of contact reported, from 0 (“I have never observed a person with mental illness”) to 7 (“I have a severe mental illness”). Social desirability bias was examined with a reliable scale for research on children (50,51). Fidelity to the curriculum content, quality of delivery, and level of student engagement were assessed by two observers in each classroom (intraclass correlation=.93) with a 60-item measure (available on request) based on two existing tools with good psychometric properties (52,53).

Statistical Analysis

Given the experimental design, personal characteristics could not cause self-selection into intervention groups. Nevertheless, it was possible for groups to differ at baseline because of imperfect randomization or differential participation. Significant pretest differences were found between intervention and control groups on race-ethnicity, primary language spoken at home, parent or guardian’s education and income, and level of contact with mental illness. We included pretest values of the corresponding outcome measures in the main analyses to control for preintervention group differences. We also reran our main analyses including the personal characteristics that differed at baseline and social desirability bias to determine whether they were significantly related to the outcomes after control for pretest values; they were not. Therefore, final analyses controlled only for pretest values of the outcomes.

Using analysis of covariance, we tested the effects of each intervention on the aforementioned outcomes. Across all analyses, outcomes for the printed-materials-only group did not differ significantly from the no-intervention control group. Combining the printed-materials-only group with the curriculum or contact intervention did not change the outcomes for the curriculum or contact group alone. Therefore, we combined the printed-materials-only group with the control group. Those receiving materials plus contact were grouped with the contact-only group and so forth. Our analyses thus compared outcomes for four groupings: curriculum only, contact only, curriculum plus contact, and control. The level of significance was set at .05.

Results

Fidelity to Curriculum Intervention

The mean fidelity score was 187. Possible scores range from 60 to 240, with scores of 148 to 192 considered “good” and scores of 193 to 240 “high fidelity.” We found no evidence of a linear effect of fidelity on the outcome measures, which we attributed to generally good fidelity and lack of substantial variance on the measure.

Outcome Analyses

Aside from correlations between the overall measure of social distance and its two subscales, there were no extremely high correlations between outcome measures, indicating that measures represented distinct aspects of stigma [see table in online supplement]. The largest correlations were between knowledge and attitudes and social distance measures (–.56 to –.61) and between general and vignette-based social distance (.57 to .61). Other correlations ranged from nil to .40.

As shown in Table 4, intervention groups significantly differed from each other for ten of the 13 primary outcomes. In regard to the impact of specific interventions, we noted consistent patterns. The curriculum fairly consistently increased recognition of mental illness and positive orientations to help seeking, including stigma awareness and action, identification of the vignette characters as mentally ill rather than bad, endorsement of help seeking for the vignette characters and for oneself in a similar situation, and increased optimism about treatment effectiveness. The impact of the curriculum on social distance outcomes was weaker. Measures of avoidance and discomfort and social distance from the vignette characters and from “someone with a mental illness” did not differ significantly from those of the control group, although a subscale of the more acceptable forms of contact (be friends, be neighbors, or eat lunch together) showed significant improvement.

TABLE 4. Adjusted mean scores on outcome measures for sixth-grade students who participated in antistigma interventions, by intervention group and control groupa

Measure (possible score range)bCurriculumContactCurriculum and contactControl
Adjusted M95% CIAdjusted M95% CIAdjusted M95% CIAdjusted M95% CIFcdfd
Knowledge and attitudes (1–5)3.603.55–3.653.543.49–3.593.66**3.60–3.723.533.48–3.584.33*3, 720
Behavior and behavioral intentions
 Stigma awareness and action (0–1).16**.14–.18.12.10–.14.19***.16–.22.12.09–.146.42***3, 716
 Avoidance and discomfort (0–1).06.05–.09.07.05–.09.07.04–.10.06.04–.08.193, 709
 Social distance (1–4)2.061.97–2.142.202.12–2.282.031.92–2.142.152.06–2.242.98*3, 716
  Subscale, less acceptable forms2.212.12–2.312.352.26–2.442.182.06–2.302.262.16–2.362.023, 717
  Subscale, more acceptable forms1.89*1.80–1.982.071.98–2.161.87*1.76–1.992.041.94–2.134.28**3, 716
Would seek help (self) (0–1).68**.64–.71.63.60–.67.71***.67–.70.60.56–.644.76**3, 707
Vignette based
 Julia is a bad person (1–4)1.70*1.60–1.801.811.71–1.911.65*1.52–1.781.851.75–1.962.53*3, 703
 Julia has a mental illness (1–4)3.15**3.05–3.253.16**3.07–3.263.29***3.16–3.422.942.83–3.046.43***3, 683
 Julia will improve with treatment (1–4)3.05*2.96–3.142.942.83–3.023.07*2.95–3.192.882.78–2.973.37*3, 684
 David is a bad person (1–4)1.731.64–1.831.831.74–1.931.681.56–1.811.751.64–1.851.363, 693
 David has a mental illness (1–4)2.81**2.70–2.922.81**2.70–2.922.83**2.69–2.972.582.46–2.703.88**3, 679
 David will improve with treatment (1–4)3.01***2.91–3.122.732.63–2.842.99***2.86–3.122.612.50–2.7211.97***3, 685
Social distance from Julia and David (1–4)2.142.05–2.232.192.10–2.282.051.94–2.172.122.02–2.221.243, 686
Julia and David should seek help (0–1).77**.74–.80.77**.74–.80.79**.75–.83.71.67–.743.98**3, 707

aAll means were adjusted for the pretest value of the outcome measure. Adjusted means for intervention groups that were significantly different from the control group are indicated by asterisks (*p<.05, **p<.01, ***p<.001).

bAll scales are scored such that a higher score indicates more of the named construct.

cAsterisks indicate whether the four groups were significantly different from each other (*p<.05, **p<.01, ***p<.001).

dValues vary because of missing values on the outcome variable of interest.

TABLE 4. Adjusted mean scores on outcome measures for sixth-grade students who participated in antistigma interventions, by intervention group and control groupa

Enlarge table

The impact of contact was more limited. In the ten instances in which the overall effect of intervention was significant, the contact-only group differed significantly from the control group in only three instances—the belief that both vignette characters have a mental illness and that they should seek help. Adjusted means for curriculum only and curriculum plus contact did not differ significantly from each other, suggesting that in general contact did not add to the effect of the curriculum.

We also assessed interactions of gender, family income, race-ethnicity, and primary language spoken at home with the intervention. Of the 52 interactions tested, only five were significant (p<.05), and these failed to show any consistent pattern across outcomes (one for gender, one for income, one for race-ethnicity, and two for language).

Discussion and Conclusions

Stigma surrounding mental illness has proved difficult to change in the population. One promising approach may be to attack stigma at a young age, before negative attitudes become entrenched. However, research on interventions with preadolescents is limited. We conducted a school-based field experiment with sixth-grade students that evaluated an antistigma curriculum, an in-vivo contact intervention, and a social marketing strategy that saturated classrooms with informative messages. We evaluated the impact of the interventions on knowledge and attitudes about mental illness, behavior and behavioral intentions related to mental illness, and help-seeking attitudes.

Unfortunately, the simplest intervention to apply—saturating classrooms with antistigma written materials—had no significant impact on any outcomes. The contact intervention was less effective than the curriculum. The impact of the contact intervention was limited to increasing the tendency to identify the vignette conditions as mental illnesses that should be treated. This is at odds with studies of adults, which generally find that contact interventions are more effective than educational ones in reducing stigma (36). However, it is consistent with Corrigan and colleagues’ (36) meta-analysis, which showed that the opposite is true with adolescents. We located only one previous study with preadolescents that used a contact intervention (46). Although that study found reduced stigma after exposure to a lecture combined with personal contact, the predicted effects of varying the degree of stereotype disconfirmation embodied in the contact intervention were not observed. Also, because contact was combined in every case with a lecture, it is not clear whether stigma reduction resulted from contact. Although enthusiasm for contact interventions is justifiably strong, further evaluation of their effectiveness with young audiences is needed.

The curriculum was the most effective of the three interventions. It delivered a consistently beneficial impact on a diverse set of outcomes, tapping recognition of mental illness, awareness and action related to stigma, personal inclinations to seek help, and more favorable orientations toward the vignette characters and their prospects for improvement. However, the curriculum group did not differ significantly from the control group on avoidance and discomfort, the belief that David (with social anxiety disorder) is a bad person, and most social distance outcomes. The first two null findings may have been influenced by methodological factors: reported instances of avoidance and discomfort, assessed over a two-week period, as well as the belief that David is a bad person were very low for all experimental groups pre- and posttest. Our curriculum was less successful at reducing social distance than two previous studies that used preadolescent samples (42,45). It is not clear what accounts for the discrepant findings.

Some limitations should be noted. With any experimental study, recruitment bias can be problematic. Sixty percent of students invited decided to participate in our study. Some nonparticipating students or their families may hold particularly negative views about mental illness, possibly limiting the generalizability of our findings. For non–study-related reasons, two of the originally selected schools dropped out, which led us to return to five schools the following school year. We found no significant differences in participant characteristics between repeated and nonrepeated classrooms. Nevertheless, it is possible that the two lost classrooms differed from the remaining classrooms in terms of participant characteristics or response to the interventions. The results are also limited in that they include no long-term follow-up and rely on hypothetical rather than actual help seeking.

Our study makes several advances over previous ones, allowing greater confidence in the validity and generalizability of findings. There was no self-selection of teachers into the study or particular intervention conditions. Our fidelity measure, inclusion of which was another advance in the literature, showed that fidelity was generally high without self-selection or teacher training, suggesting that neither voluntary involvement nor previous training is necessary for high-quality implementation. The assessment of multiple interventions allowed us to attribute effects to particular interventions rather than to intervention per se and led us to conclude that the curriculum intervention was superior to the contact and printed-materials interventions. Our sample had excellent representation of the major U.S. racial and ethnic groups; thus we were able to show that interventions had a similar impact among Latino, African American, and non-Hispanic white youths. These study features raise optimism that stigma reduction interventions can generalize to a broad application in the population and strengthen existing evidence that even brief interventions can reduce stigma and may be transferrable to real-world applications. Future steps should include a direct comparison of curricula employed in the different intervention studies, perhaps combining elements that appear to most effectively address various components of stigma, and working with educators to begin to establish stigma reduction as part of the regular school curriculum.

Dr. Painter is with the Center for Mental Health Services, Division of Service and Systems Improvement, Substance Abuse and Mental Health Services Administration, Rockville, Maryland (email: ). Dr. Phelan is with the Department of Sociomedical Sciences and Ms. Dupont-Reyes and Dr. Villatoro are with the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City. Ms. Barkin is with MHMR of Tarrant County, Fort Worth, Texas. Dr. Link is with the Department of Sociology and School of Public Policy, University of California Riverside.

The study was supported in part by grants R01MH095254 and 5T32MH013043-44 from the National Institute of Mental Health.

The authors report no financial relationships with commercial interests.

The authors thank Mental Health Connection of Tarrant County, the project staff, the speakers who shared their experiences with mental illness, and the youths who participated in the study.

References

1 Corrigan P: How stigma interferes with mental health care. American Psychologist 59:614–625, 2004Crossref, MedlineGoogle Scholar

2 Corrigan P, Watson A, Barr L: The self-stigma of mental illness: implications for self-esteem and self-efficacy. Journal of Social and Clinical Psychology 25:875–884, 2006CrossrefGoogle Scholar

3 Druss BG, Bornemann TH: Improving health and health care for persons with serious mental illness: the window for US federal policy change. JAMA 303:1972–1973, 2010Crossref, MedlineGoogle Scholar

4 Link B, Castille DM, Stuber J: Stigma and coercion in the context of outpatient treatment for people with mental illnesses. Social Science and Medicine 67:409–419, 2008Crossref, MedlineGoogle Scholar

5 Link BG, Cullen FT, Struening E, et al.: A modified labeling theory approach in the area of the mental disorders: an empirical assessment. American Sociological Review 54:400–423, 1989CrossrefGoogle Scholar

6 Link B: Understanding labeling effects in mental disorders: an assessment of expectations of rejection. American Sociological Review 52:96–112, 1987CrossrefGoogle Scholar

7 Link B, Struening E, Rahav M, et al.: On stigma and its consequences: evidence from a longitudinal study of men with dual diagnoses of mental illness and substance abuse. Journal of Health and Social Behavior 38:117–190, 1997Crossref, MedlineGoogle Scholar

8 Perlick DA, Rosenheck RA, Clarkin JF, et al.: Stigma as a barrier to recovery: adverse effects of perceived stigma on social adaptation of persons diagnosed with bipolar affective disorder. Psychiatric Services 52:1627–1632, 2001LinkGoogle Scholar

9 Perlick DA, Miklowitz DJ, Link BG, et al.: Perceived stigma and depression among caregivers of patients with bipolar disorder. British Journal of Psychiatry 190:535–536, 2007Crossref, MedlineGoogle Scholar

10 Rosenfield S: Labeling mental illness: the effects of received services and perceived stigma on life satisfaction. American Sociological Review 62:660–672, 1997CrossrefGoogle Scholar

11 Sirey JA, Bruce ML, Alexopoulos GS, et al.: Perceived stigma as a predictor of treatment discontinuation in young and older outpatients with depression. American Journal of Psychiatry 158:479–481, 2001LinkGoogle Scholar

12 Wahl OF: Stigma as a barrier to recovery from mental illness. Trends in Cognitive Sciences 16:9–10, 2012Crossref, MedlineGoogle Scholar

13 Wright ER, Gronfein WP, Owens TJ: Deinstitutionalization, social rejection, and the self-esteem of former mental patients. Journal of Health and Social Behavior 41:68–90, 2000Crossref, MedlineGoogle Scholar

14 Pescosolido BA, Jensen PS, Martin JK, et al.: Public knowledge and assessment of child mental health problems: findings from the National Stigma Study–Children. Journal of the American Academy of Child and Adolescent Psychiatry 47:339–349, 2008Crossref, MedlineGoogle Scholar

15 Link BG, Phelan JC, Bresnahan M, et al.: Public conceptions of mental illness: labels, causes, dangerousness, and social distance. American Journal of Public Health 89:1328–1333, 1999Crossref, MedlineGoogle Scholar

16 Sartorius N: Fighting schizophrenia and its stigma: a new World Psychiatric Association educational programme. British Journal of Psychiatry 170:297, 1997Crossref, MedlineGoogle Scholar

17 Hinshaw SP: The Mark of Shame: Stigma of Mental Illness and an Agenda for Change. Oxford, United Kingdom, Oxford University Press, 2006Google Scholar

18 Dumesnil H, Verger P: Public awareness campaigns about depression and suicide: a review. Psychiatric Services 60:1203–1213, 2009LinkGoogle Scholar

19 Pilgrim D, Rogers AE: Psychiatrists as social engineers: a study of an anti-stigma campaign. Social Science and Medicine 61:2546–2556, 2005Crossref, MedlineGoogle Scholar

20 Schomerus G, Schwahn C, Holzinger A, et al.: Evolution of public attitudes about mental illness: a systematic review and meta-analysis. Acta Psychiatrica Scandinavica 125:440–452, 2012Crossref, MedlineGoogle Scholar

21 Pescosolido BA, Martin JK, Long JS, et al.: “A disease like any other”? A decade of change in public reactions to schizophrenia, depression, and alcohol dependence. American Journal of Psychiatry 167:1321–1330, 2010LinkGoogle Scholar

22 Angermeyer MC, Matschinger H: Have there been any changes in the public’s attitudes towards psychiatric treatment? Results from representative population surveys in Germany in the years 1990 and 2001. Acta Psychiatrica Scandinavica 111:68–73, 2005Crossref, MedlineGoogle Scholar

23 Mackenzie CS, Erickson J, Deane FP, et al.: Changes in attitudes toward seeking mental health services: a 40-year cross-temporal meta-analysis. Clinical Psychology Review 34:99–106, 2014Crossref, MedlineGoogle Scholar

24 Phelan JC, Link BG, Stueve A, et al.: Public conceptions of mental illness in 1950 and 1996: what is mental illness and is it to be feared? Journal of Health and Social Behavior 41:188–207, 2000CrossrefGoogle Scholar

25 Phelan JC: Geneticization of deviant behavior and consequences for stigma: the case of mental illness. Journal of Health and Social Behavior 46:307–322, 2005Crossref, MedlineGoogle Scholar

26 Kvaale EP, Haslam N, Gottdiener WH: The “side effects” of medicalization: a meta-analytic review of how biogenetic explanations affect stigma. Clinical Psychology Review 33:782–794, 2013Crossref, MedlineGoogle Scholar

27 Kvaale EP, Gottdiener WH, Haslam N: Biogenetic explanations and stigma: a meta-analytic review of associations among laypeople. Social Science and Medicine 96:95–103, 2013Crossref, MedlineGoogle Scholar

28 Wahl O: Children’s views of mental illness: a review of the literature. Psychiatric Rehabilitation Skills 6:134–158, 2002CrossrefGoogle Scholar

29 Corrigan PW, Watson AC: How children stigmatize people with mental illness. International Journal of Social Psychiatry 53:526–546, 2007Crossref, MedlineGoogle Scholar

30 Chandra A, Minkovitz C: Factors that influence mental health stigma among 8th grade adolescents. Journal of Youth and Adolescence 6:763–774, 2007CrossrefGoogle Scholar

31 Adler A, Wahl O: Children’s beliefs about people labeled mentally ill. American Journal of Orthopsychiatry 68:321–326, 1998Crossref, MedlineGoogle Scholar

32 Corrigan PW, Green A, Lundin R, et al.: Familiarity with and social distance from people who have serious mental illness. Psychiatric Services 52:953–958, 2001LinkGoogle Scholar

33 Shah N: Changing minds at the earliest opportunity. Psychiatric Bulletin 28:213–215, 2004CrossrefGoogle Scholar

34 Weiss MF: Children’s attitudes toward the mentally ill: a developmental analysis. Psychological Reports 58:11–20, 1986Crossref, MedlineGoogle Scholar

35 Weiss MF: Children’s attitudes toward mental illness as assessed by the Opinions About Mental Illness Scale. Psychological Reports 57:251–258, 1985Crossref, MedlineGoogle Scholar

36 Corrigan PW, Morris SB, Michaels PJ, et al.: Challenging the public stigma of mental illness: a meta-analysis of outcome studies. Psychiatric Services 63:963–973, 2012LinkGoogle Scholar

37 Couture SM, Penn DL: Interpersonal contact and the stigma of mental illness: a review of the literature. Journal of Mental Health 12:291–305, 2003CrossrefGoogle Scholar

38 Holzinger A, Dietrich S, Heitmann S, et al.: Evaluation of target-group oriented interventions aimed at reducing the stigma surrounding mental illness [in German]. Psychiatrische Praxis 35:376–386, 2008Crossref, MedlineGoogle Scholar

39 Mellor C: School-based interventions targeting stigma of mental illness: systematic review. Psychiatric Bulletin 38:164–171, 2014CrossrefGoogle Scholar

40 Evans-Lacko S, London J, Japhet S, et al.: Mass social contact interventions and their effect on mental health related stigma and intended discrimination. Public Health 12:489, 2012MedlineGoogle Scholar

41 Watson AC, Otey E, Westbrook AL, et al.: Changing middle schoolers’ attitudes about mental illness through education. Schizophrenia Bulletin 30:563–572, 2004Crossref, MedlineGoogle Scholar

42 Wahl OF, Susin J, Kaplan L, et al.: Changing knowledge and attitudes with a middle school mental health education curriculum. Stigma Research and Action 1:44–53, 2011Crossref, MedlineGoogle Scholar

43 Desocio J, Stember L, Schrinsky J: Teaching children about mental health and illness: a school nurse health education program. Journal of School Nursing 22:81–86, 2006Crossref, MedlineGoogle Scholar

44 Pietre N, Stewart S, Adams S, et al.: The use of puppets with elementary school children in reducing stigmatizing attitudes toward mental illness. Journal of Mental Health 16:415–429, 2007CrossrefGoogle Scholar

45 Ventieri D, Clarke DM, Hay M: The effects of a school-based educational intervention on preadolescents’ knowledge of and attitudes toward mental illness. Advances in School Mental Health Promotion 4:5–17, 2011CrossrefGoogle Scholar

46 Spagnolo AB: Examining the effects of anti-stigma messages on the attitudes of early adolescents. Doctoral dissertation. Newark, Department of Psychology, University of Medicine and Dentistry of New Jersey, 2009Google Scholar

47 Dixon S, Stein M: Encounters with Children: Pediatric Behavior and Development, 3rd ed. St Louis, Mosby, 2000Google Scholar

48 Reinke R, Corrigan P, Leonhard C, et al.: Examining two aspects of contact on the stigma of mental illness. Journal of Social and Clinical Psychology 23:377–389, 2004CrossrefGoogle Scholar

49 Star S: The public’s ideas about mental illness. Presented at the Annual Meeting of the National Association for Mental Health, Indianapolis, Nov 5, 1955Google Scholar

50 Baxter SD, Smith AF, Litaker MS, et al.: Children’s social desirability and dietary reports. Journal of Nutrition Education and Behavior 36:84–89, 2004Crossref, MedlineGoogle Scholar

51 Crandall VC, Crandall VJ, Katkovsky W: A children’s social desirability questionnaire. Journal of Consulting Psychology 29:27–36, 1965Crossref, MedlineGoogle Scholar

52 Dusenbury L, Brannigan R, Falco M, et al.: A review of research on fidelity of implementation: implications for drug abuse prevention in school settings. Health Education. Research Theory and Practice 18:237–256, 2003Crossref, MedlineGoogle Scholar

53 Bruns EJ, Burchard JD, Suter JC, et al.: Assessing fidelity to a community-based treatment for youth: the wraparound fidelity index. Journal of Emotional and Behavioral Disorders 12:79–89, 2004CrossrefGoogle Scholar