Depression is a mental illness affecting 121 million people. The Substance Abuse and Mental Health Services Administration recently launched a national, bilingual (English and Spanish) campaign to motivate young adults to support friends with mental illness. This article highlights and assesses the usefulness of two theoretically derived variables for increasing the social support received by all depressed individuals: (a) affect and (b) social support outcome expectations. In accord with the Substance Abuse and Mental Health Services Administration's bilingual campaign, the authors conducted two studies using intercepts at 2 swap meets in the U.S. Southwest. One study sample consisted of Spanish-dominant Hispanics, the other non-Hispanics. For both samples, results indicate that affect, social support outcome expectations, and their interaction accounted for more than 50% of the variance of social support intentions (67% in the Hispanic sample when familism was considered). Affect is commonplace in the helping behavior literature; results indicate social support outcome expectations deserve equal consideration. Moreover, an unexpected finding emerged: Perceiving a lack of willpower, need for attention, and lack of moral character to be the cause of depression resulted in increased sympathy among the Hispanic sample but increased anger among non-Hispanics.

INTRODUCTIONWe reviewed research literature on pro-tobacco marketing and anti-tobacco campaigns targeting eight vulnerable populations to determine key findings and research gaps. Results can inform tobacco policy and control efforts and the design of public education campaigns for these groups.METHODSFive journal databases in medicine, communication, and science, were used to identify 8875 peer-reviewed, original articles in English, published in the period 2004–2018. There were 144 articles that met inclusion criteria on pro-tobacco marketing or anti-tobacco campaigns aimed at eight US groups: women of reproductive age, racial/ethnic minority groups (African American, Hispanic/Latino, Asian/Pacific Islander and American Indian/Alaska Native), Lesbian/Gay/Bisexual/Transgender (LGBT) populations, groups with low socioeconomic status, rural/inner city residents, military/veterans, and people with mental health or medical co-morbidities. We summarized the number of articles for each population, type of tobacco, and pro-tobacco or anti-tobacco focus. Narrative summaries were organized by population and by pro-tobacco or anti-tobacco focus, with key strategies and gaps by group.RESULTSThere were more studies on pro-tobacco marketing rather than anti-tobacco campaigns, and on cigarettes rather than other tobacco products. Major gaps included studies on Asian Americans, American Indian/Alaska Natives, pregnant women, LGBT populations, and those with mental health or medical co-morbidities. Gaps related to tobacco products were found for hookah, snus, and pipe/roll-your-own tobacco in the pro-tobacco studies, and for all products except cigarettes in anti-tobacco studies. Common tobacco industry methods used were tailoring of product and package design and messages that were used to reach and appeal to different sociodemographic groups. Studies varied by research design making it difficult to compare results.CONCLUSIONSWe found major research gaps for specific groups and tobacco products. Public education campaigns need a stronger foundation in empirical studies focused on these populations. Research and practice would benefit from studies that permit comparisons across studies.

BackgroundAs Twitter has grown in popularity to 313 million monthly active users, researchers have increasingly been using it as a data source for tobacco-related research.ObjectiveThe objective of this systematic review was to assess the methodological approaches of categorically coded tobacco Twitter data and make recommendations for future studies.MethodsData sources included PsycINFO, Web of Science, PubMed, ABI/INFORM, Communication Source, and Tobacco Regulatory Science. Searches were limited to peer-reviewed journals and conference proceedings in English from January 2006 to July 2016. The initial search identified 274 articles using a Twitter keyword and a tobacco keyword. One coder reviewed all abstracts and identified 27 articles that met the following inclusion criteria: (1) original research, (2) focused on tobacco or a tobacco product, (3) analyzed Twitter data, and (4) coded Twitter data categorically. One coder extracted data collection and coding methods.ResultsE-cigarettes were the most common type of Twitter data analyzed, followed by specific tobacco campaigns. The most prevalent data sources were Gnip and Twitter’s Streaming application programming interface (API). The primary methods of coding were hand-coding and machine learning. The studies predominantly coded for relevance, sentiment, theme, user or account, and location of user.ConclusionsStandards for data collection and coding should be developed to be able to more easily compare and replicate tobacco-related Twitter results. Additional recommendations include the following: sample Twitter’s databases multiple times, make a distinction between message attitude and emotional tone for sentiment, code images and URLs, and analyze user profiles. Being relatively novel and widely used among adolescents and black and Hispanic individuals, Twitter could provide a rich source of tobacco surveillance data among vulnerable populations.

People with depression are likely to process information with a negative bias when confronted with self-relevant information. Accordingly, we feared exposing depressed people to a public service announcement (PSA) addressing the stigma of depression would possibly boomerang and result in less intention to seek help and in increased self-stigma. College students (N = 271; Mage  = 22.51, SD = 4.71; 63.1% female; 37.3% White, 31.9% Hispanic, 12.9% Asian, 6.8% multiethnic, 3.4% Black, 7.6% other) were randomly assigned to receive a print ad focused on depression or a nonrelevant comparison ad. A paper-and-pencil survey consisting of the Beck Depression Inventory-II, Self-Stigma of Seeking Help scale, help-seeking intentions, and demographics followed. Regression analysis indicated that viewing a depression ad caused people with greater depressive symptoms to experience greater levels of self-stigma than depressed people exposed to a nonrelevant comparison ad. Bootstrap mediation analysis showed that for individuals who viewed a depression PSA, self-stigma mediated the relationship between depressive symptoms and professional help-seeking intentions. While this current study offers no direct evidence in regard to the utility of current and past depression campaigns, results indicate a definite need for caution when developing materials targeting people with depression to seek help.

Campaigns seeking to help people with depression can be effective, but they can also backfire. Psychological reactance is proposed as a partial explanation. Two experimental studies examined the effect of two depression messages (i.e., autonomy-supportive language, controlling language) for participants (n = 2027, n = 777) with varying levels of depressive symptomatology. For Study 1, two versions of a print public service announcement about seeking help for depression served as the experimental stimulus. Study 2 used an existing video public service announcement about seeking help for depression, but the text was altered to create the two conditions. In both studies, increased depressive symptomatology was associated with reduced help-seeking attitudes and intentions, as well as greater state reactance to a public service announcement about depression. Increased state reactance mediated the relationship between increased depressive symptomology and unfavorable help-seeking outcomes. Further, across the two studies, participants with high levels of depressive symptomatology who were exposed to the autonomy-supportive language ad reported either as much, or more, state reactance than participants with high levels of depressive symptomatology who were in the control condition. These results warn that language perceived as autonomy-supportive by people without depression might be perceived as controlling among people with depression.