The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review.

BACKGROUND: Improving mental health in youth is a major concern. Future approaches to monitor and intervene in youth mental health problems should rely on mobile tools that allow for the daily monitoring of mental health both actively (eg, using ecological momentary assessments [EMAs]) and passively (eg, digital phenotyping) by capturing individuals' data. OBJECTIVE: This umbrella review aims to (1) report the main characteristics of existing reviews on mental health and young people, including mobile approaches to mental health; (2) describe EMAs and trace data and the mental health conditions investigated; (3) report the main results; and (4) outline promises, limitations, and directions for future research. METHODS: A systematic literature search was carried out in 9 scientific databases (Communication & Mass Media Complete, Psychology and Behavioral Sciences Collection, PsycINFO, CINAHL, ERIC, MEDLINE, the ProQuest Sociology Database, Web of Science, and PubMed) on January 30, 2022, coupled with a hand search and updated in July 2022. We included (systematic) reviews of EMAs and trace data in the context of mental health, with a specific focus on young populations, including children, adolescents, and young adults. The quality of the included reviews was evaluated using the AMSTAR (Assessment of Multiple Systematic Reviews) checklist. RESULTS: After the screening process, 30 reviews (published between 2016 and 2022) were included in this umbrella review, of which 21 (70%) were systematic reviews and 9 (30%) were narrative reviews. The included systematic reviews focused on symptoms of depression (5/21, 24%); bipolar disorders, schizophrenia, or psychosis (6/21, 29%); general ill-being (5/21, 24%); cognitive abilities (2/21, 9.5%); well-being (1/21, 5%); personality (1/21, 5%); and suicidal thoughts (1/21, 5%). Of the 21 systematic reviews, 15 (71%) summarized studies that used mobile apps for tracing, 2 (10%) summarized studies that used them for intervention, and 4 (19%) summarized studies that used them for both intervention and tracing. Mobile tools used in the systematic reviews were smartphones only (8/21, 38%), smartphones and wearable devices (6/21, 29%), and smartphones with other tools (7/21, 33%). In total, 29% (6/21) of the systematic reviews focused on EMAs, including ecological momentary interventions; 33% (7/21) focused on trace data; and 38% (8/21) focused on both. Narrative reviews mainly focused on the discussion of issues related to digital phenotyping, existing theoretical frameworks used, new opportunities, and practical examples. CONCLUSIONS: EMAs and trace data in the context of mental health assessments and interventions are promising tools. Opportunities (eg, using mobile approaches in low- and middle-income countries, integration of multimodal data, and improving self-efficacy and self-awareness on mental health) and limitations (eg, absence of theoretical frameworks, difficulty in assessing the reliability and effectiveness of such approaches, and need to appropriately assess the quality of the studies) were further discussed. TRIAL REGISTRATION: PROSPERO CRD42022347717; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=347717.

Tobacco-control policy support among people from low socioeconomic positions in Massachusetts.

People from low socioeconomic positions (SEP) are at a higher risk of smoking, face greater barriers to smoking cessation, and have lower access to health information. To improve tobacco-related health outcomes, policies requiring altering labeling on cigarette packs could be implemented. However, public support is needed to influence the policymaking process. We assessed factors associated with supporting tobacco-control communication policies. We analyzed data from Project CLEAR, a study conducted in Massachusetts. The analytic sample included participants who answered questions on their support for three policies: 1) graphic health warnings (GHWs), 2) Quitline number, and 3) smoking cessation information on cigarette packs (n = 357). Binomial logistic regression modeling was conducted by policy. Independent variables included demographic characteristics and smoking status. We found that younger vs. older individuals (aOR = 0.41, 95 %CI:0.23-0.72), males vs. females (aOR = 0.58, 95 %CI:0.35-0.96), and people who smoke vs. those who don't smoke (aOR = 0.41, 95 %CI:0.24-0.70) were less likely to support a law requiring GHWs. Participants with a low vs. higher level of education (aOR = 0.55, 95 %CI:0.32-0.95) were less likely to support a law requiring a Quitline number. Younger (18-39) vs. older individuals (aOR = 0.53, 95 %CI:0.29-0.94), males vs. females (aOR = 0.57, 95 %CI:0.34-0.96), and participants with a low vs. higher level of education (aOR = 0.56, 95 %CI:0.32-0.98) were less likely to support a law requiring cessation information on cigarette packs. Findings suggest that targeted theory-based public health and communication strategies should be developed to increase awareness and support towards policies that would help reduce cigarette smoking among people from low SEP to eliminate tobacco-related health inequities in the US.

Toward an Extended Infodemiology Framework: Leveraging Social Media Data and Web Search Queries as Digital Pulse on Cancer Communication.

This study aims to extend the infodemiology framework by postulating that effective use of digital data sources for cancer communication should consider four components: (a) content: key topics that people are concerned with, (b) congruence: how interest in cancer topics differ between public posts (i.e., tweets) and private web searches, (c) context: the influence of the information environment, and (d) information conduits. We compared tweets (n = 36, 968) and Google web searches on breast, lung, and prostate cancer between the National Cancer Prevention Month and a non-cancer awareness month in 2018. There are three key findings. First, reliance on public tweets alone may result in lost opportunities to identify potential cancer misinformation detected from private web searches. Second, lung cancer tweets were most sensitive to external information environment - tweets became substantially pessimistic after the end of cancer awareness month. Finally, the cancer communication landscape was largely democratized, with no prominent conduits dominating conversations on Twitter.

Beyond Educating the Masses: The Role of Public Health Communication in Addressing Socioeconomic- and Residence-based Disparities in Tobacco Risk Perception.

Public health communication has long been a key component of tobacco control efforts. However, little is known whether and how such an effort could address disparities in tobacco risk perceptions among population subgroups. In this study, using data from the Global Adult Tobacco Survey of Ethiopia, we examined if tobacco risk perceptions varied across socioeconomic and urban vs. rural population subgroups, and whether and how exposure to anti-smoking message was associated with disparities in risk perceptions across socioeconomic and urban-rural subgroups. The results indicated that health risk perceptions of smoking and secondhand smoke exposure were significantly lower among rural, less educated and less affluent population subgroups. Controlling for age, gender, education, wealth, place of residence, and pro-smoking message exposure, anti-smoking message exposure was associated with greater risk perceptions of smoking. Moreover, anti-smoking message exposure moderated the associations of place of residence and education with risk perceptions of smoking and secondhand smoke exposure, respectively. The probability of risk perception of smoking associated with anti-smoking message exposure was higher among the rural populace compared to urbanites. Similarly, the probability of risk perception of secondhand smoke exposure associated with anti-smoking message exposure was the highest among individuals without formal education compared to those with primary, secondary, and college-level education. The findings suggest that efforts should be made to make sure adequate anti-smoking message exposure among less educated and rural audiences so as to reduce disparities in tobacco risk perceptions.

Adherence to COVID-19 mitigation measures among American adults: the need for consistent and unified messaging.

In the United States, elite and media communications about the risks of, and mitigation strategies for, COVID-19 have been characterized by lack of consensus. In this study, we draw from a nationally representative sample of American adults to examine the associations between exposure to different media and platforms (mainstream, conservative, liberal or social media) and adherence to COVID-19 mitigation measures such as physical distancing and mask use. We also examine the individual and social factors associated with adherence to mitigation measures. We find that exposure to conservative outlets, being republican, having low confidence in scientists and high perception of information overload are associated with low adherence. In contrast, exposure to liberal and mainstream news outlets, being democrat, having high confidence in scientists, and low perception of information overload are associated with high adherence. The findings suggest the need for consistent and unified public health messaging that cuts across partisan splits and the growing skepticism in science.

Association of social participation, perception of neighborhood social cohesion, and social media use with happiness: Evidence of trade-off (JCOP-20-277).

Social participation and neighborhood social cohesion are positively associated with health and wellbeing. Given that in-person social interactions have generally dwindled over the past several decades at least in Western countries and social media use has become more common, in this study, we examined whether and how social media use interacts with social participation and neighborhood social cohesion in influencing happiness. Data were gathered from a representative sample of adults in Massachusetts, USA. General linear model was used to estimate the main and interaction effects of social participation, perception of neighborhood social cohesion and social media use on happiness, controlling for sociodemographics, marital status, employment, and self-rated health. Results indicated that both social participation and perception of neighborhood social cohesion were positively associated with happiness whereas social media use was not. However, there was a significant interaction effect of social media use and perception of neighborhood social cohesion on happiness. Compared with people with a high perception of neighborhood social cohesion, those with low perception were more likely to be happy as their social media use increased, suggesting that social media use may be helpful to promote happiness among people who perceive their neighborhoods as less supportive, trustworthy, and close-knit.

Association of Social Media Use With Social Well-Being, Positive Mental Health, and Self-Rated Health: Disentangling Routine Use From Emotional Connection to Use.

Most studies addressing social media use as a normal social behavior with positive or negative effects on health-related outcomes have conceptualized and measured social media use and its effects in terms of dose-effect relations. These studies focus on measuring frequency and duration of use, and have seldom considered users' emotional connections to social media use and the effects associated with such connections. By using a scale with two dimensions capturing users' integration of social media use into their social routines and their emotional connection to the sites' use, the present study has brought preliminary evidence that may help map where social media use, as a normal social behavior, may be considered beneficial or harmful. Data from a nationally representative sample (n = 1,027) of American adults showed that while routine use is associated with positive health outcomes, emotional connection to social media use is associated with negative health outcomes. These associations have been consistent across three health-related outcomes: social well-being, positive mental health, and self-rated health. The data also showed that the strength of the positive and negative associations of routine use and emotional connection with the health outcomes varies across socioeconomic and racial/ethnic population subgroups. Our findings suggest that the link between social media use and health may not only be captured by and explained in terms of conventional dose-effect approaches but may also require a more sophisticated conceptualization and measurement of the social media use behavior.

The relative persuasiveness of narrative versus non-narrative health messages in public health emergency communication: Evidence from a field experiment.

Previous studies indicated that narrative health messages are more effective than non-narrative messages in influencing health outcomes. However, this body of evidence does not account for differences in health domain, and little is known about the effectiveness of this message execution strategy during public health emergencies. In this study, we examined the relative effectiveness of the two formats in influencing knowledge and perceived response efficacy related to prevention of pandemic influenza, and determined whether effects of message format vary across population sub-groups. Data for the study come from an experiment fielded in 2013 that involved a nationally representative sample of 627 American adults. Participants were randomly assigned to view either a narrative (n=322) or a non-narrative (n=305) video clip containing closely matched information about knowledge and preventive actions related to pandemic influenza, and completed pre- and post-viewing questions assessing knowledge and perceived response efficacy related to the prevention of pandemic influenza. Results indicated that participants in the non-narrative condition reported greater knowledge and rated pandemic influenza prevention measures as more effective compared with those in the narrative condition. Message format effects did not vary across population sub-groups; post-viewing scores of knowledge and perceptions related to pandemic influenza were consistently higher in the non-narrative condition compared with the narrative condition across five socio-demographic groups: age, gender, education, race/ethnicity and income. We concluded that didactic, non-narrative messages may be more effective than narrative messages to influence knowledge and perceptions during public health emergencies.