The development and evolution of the research topic on the mental health of college students: A bibliometric review based on CiteSpace and VOSviewer

Background

With the advances in society and in response to changing times, college students have had to face multiple challenges. These challenges frequently affect the mental health of college students, leading to significant consequences for their social lives, personal well-being, and academic achievements, thereby attracting extensive societal attention. Therefore, examining the current status of research topics related to the mental health of college students can assist academia in dissecting the influencing factors and seeking solutions at their source or through early intervention. This can contribute to a better understanding of and effectively address this challenge.

Method

CiteSpace and VOSviewer were used to conduct a bibliometric analysis of 1609 journal articles indexed in the Web of Science (WoS) database over the past two decades (2000-2022), which helped identify the current state of research and hot topics in the field based on development trends. Furthermore, this study analyzes and discusses the core authors, high-productivity countries and organizations, key journals, and keyword clustering in this field. This study clarifies the current research landscape, analyzes evolving trends based on developmental trajectories, and identifies forefront research hotspots. This study provides scholars with reference research directions and ideas for conducting subsequent studies.

Results

Since the beginning of the 21st century, research on college students' mental health has increased, especially in the past three years, and due to the impact of the COVID-19 pandemic and online distance learning, the number of publications has increased rapidly. With the increase in attention and publication volume, the countries and organizations contributing papers as well as core journals have all started to take shape. Cluster and evolution analyses found that several stable research topics have been formed in this research field, and many new and diverse topics are continuously emerging with time.

Conclusion

and prospect: The findings prove that the field of college students' mental health has begun to take shape, gradually shifting from conceptual research to the implementation of specific interventions. However, whether specific interventions are effective and how effective they are require further investigation.

Disciplinary differences in the study of the relationship between social variables and mental health: A systematic mapping review

There has been sustained interest in the intersection between social constructs and mental health from diverse disciplines including psychiatry, sociology and public health. However, no systematic attempt has been made to catalogue what is meant by 'social' by different researchers, how variables deemed 'social' constructs are linked to mental health, nor whether these patterns differ by academic discipline. Understanding interdisciplinary differences and commonalities may reveal opportunities for interdisciplinary collaboration to enhance our understanding of how social factors relate to mental health. This article presents a prospectively registered systematic map of social approaches to mental health using an innovative synthesis methodology (coding all sentences from a random selection of N = 287 articles). Results indicated that although approaches are diverse, disciplinary overlap is substantial. Psychology and psychiatry led articles tend to focus on social skills or emotions as features of mental (ill-)health, while public health and social sciences led articles tend to focus on social relationships, status or context as determinants of mental (ill-)health. Medicine led articles were most likely to focus on social outcomes of mental (ill-)health. Potential growth areas are noted, particularly the relative dearth of intervention research drawing upon social approaches. The findings are discussed with a view towards enabling more effective interdisciplinary collaboration.

Diagnostic uncertainty in patients, parents, and physicians: a compensatory control theory perspective

Medical diagnoses offer a structure by which psychological uncertainty can be attenuated, allowing patients to diminish psychological threats and focus on health prognosis. Yet when no diagnosis can be made, patients may experience diagnostic uncertainty - perceiving the medical field as unable to provide an accurate explanation of the cause of their health problems. This review examines the psychological threat that diagnostic uncertainty imposes on individuals' need for control and understanding, and the resulting consequences experienced by patients, parents of pediatric patients, and physicians. Using compensatory control theory as a framework, we propose a taxonomy of behaviors that people may adopt in order to regain control in the face of diagnostic uncertainty and to reaffirm that the world is not random and chaotic. To manage diagnostic uncertainty, people may bolster their personal agency, affiliate with external systems they see as acting in their interest, affirm clear connections between behaviors and outcomes, and affirm nonspecific epistemic structure. Diagnostic uncertainty is approached from the perspectives of patients, parents of pediatric patients, and physicians, demonstrating how each group responds in order to maintain a sense that the world has structure and is not random. Discussion centers on moderators, limitations, and implications for clinical practice.

Spatial-Temporal Pattern Evolution of Public Sentiment Responses to the COVID-19 Pandemic in Small Cities of China: A Case Study Based on Social Media Data Analysis

The impact of the COVID-19 pandemic on public mental health has become increasingly prominent. Therefore, it is of great value to study the spatial-temporal characteristics of public sentiment responses to COVID-19 exposure to improve urban anti-pandemic decision-making and public health resilience. However, the majority of recent studies have focused on the macro scale or large cities, and there is a relative lack of adequate research on the small-city scale in China. To address this lack of research, we conducted a case study of Shaoxing city, proposed a spatial-based pandemic-cognition-sentiment (PCS) conceptual model, and collected microblog check-in data and information on the spatial-temporal trajectory of cases before and after a wave of the COVID-19 pandemic. The natural language algorithm of dictionary-based sentiment analysis (DSA) was used to calculate public sentiment strength. Additionally, local Moran's I, kernel-density analysis, Getis-Ord Gi* and standard deviation ellipse methods were applied to analyze the nonlinear evolution and clustering characteristics of public sentiment spatial-temporal patterns at the small-city scale concerning the pandemic. The results reveal that (1) the characteristics of pandemic spread show contagion diffusion at the micro level and hierarchical diffusion at the macro level, (2) the pandemic has a depressive effect on public sentiment in the center of the outbreak, and (3) the pandemic has a nonlinear gradient negative impact on mood in the surrounding areas. These findings could help propose targeted pandemic prevention policies applying spatial intervention to improve residents' mental health resilience in response to future pandemics.

Comparison of two different mindfulness interventions among health care students in Finland: a randomised controlled trial

We investigated the short- and long-term effects of two different evidence-based mindfulness training on students' stress and well-being. A randomised controlled trial with three measurement points (baseline, post-intervention, and 4 months post-intervention) was conducted among undergraduate students of medicine, dentistry, psychology, and logopaedics at the University of Helsinki. The participants were randomly assigned into three groups: (1) face-to-face mindfulness training based on the Mindfulness Skills for Students course (n = 40), (2) a web-based Student Compass program using Mindfulness and Acceptance and Commitment therapy (n = 22), and (3) a control group that received mental health support as usual (n = 40). The primary outcome was psychological distress measured using the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE-OM). Secondary outcomes included hair cortisol concentrations and a wide range of well-being indicators. Psychological distress increased in all the groups from baseline to post-intervention, but significantly less so in the intervention groups than in the control group. At 4-month follow-up, were found no differences between the primary outcomes of the control and intervention groups, but the participants who continued practising mindfulness at least twice a week were less stressed than the others. Our results suggest that participating in a mindfulness course may mitigate health care students' psychological distress during the academic year, but only if the participants continue practising mindfulness at least twice a week.

Forging Forward Together: Transforming Scientific Practice to Accelerate Scientific Progress

Rapidly advancing solutions requires our community to continuously re-examine successes of yesterday to inspire new approaches for today while collaboratively envisioning what’s needed for tomorrow.

Bridging Behavioral Science with Cancer Prevention and Control: Contributions of an NCI Working Group (2009-2019)

Human behavior plays a central role in cancer-related morbidity and mortality. Much behavior is, in turn, attributable to several core biological, cognitive, emotional, motivational, and interpersonal processes. Understanding the systematic and interactive impact of these processes can inform efforts to address cancer-relevant outcomes such as tobacco use, reliance on cancer misinformation, engagement in genetic testing, adherence to treatment, and acceptance of palliative care. Here, we review efforts of the NCI-supported Cognitive, Affective, and Social Processes in Health Research working group. Since 2009, this group has endeavored to advance the integration of basic behavioral science with cancer prevention and control by addressing topics such as the degree to which behavioral interventions alter cognitions underlying behavior, how technological innovations might facilitate behavioral measurement and intervention in areas such as smoking cessation, whether decision science principles might be applied to genetic testing decisions, how the cognitive effects of chemotherapy impair self-regulation, and the extent to which emotional factors drive palliative care decisions. The group has initiated numerous activities to build capacity for research in these areas including state-of-the-science meetings, written syntheses, conference symposia, and training workshops. We conclude with reflections about future needs as well as how to sustain such integrative efforts.

DEBATE: Do interventions based on behavioral theory work in the real world?

BACKGROUND

Behavioral scientists suggest that for behavior change interventions to work effectively, and deliver population-level health outcomes, they must be underpinned by behavioral theory. However, despite implementation of such interventions, population levels of both health outcomes and linked behaviors have remained relatively static. We debate the extent to which interventions based on behavioral theory work in the real world to address population health outcomes.

DISCUSSION

Hagger argues there is substantive evidence supporting the efficacy and effectiveness of interventions based on behavioral theory in promoting population-level health behavior change in the 'real world'. However, large-scale effectiveness trials within existing networks are relatively scarce, and more are needed leveraging insights from implementation science. Importantly, sustained investment in effective behavioral interventions is needed, and behavioral scientists should engage in greater advocacy to persuade gatekeepers to invest in behavioral interventions. Weed argues there is no evidence to demonstrate behavioral theory interventions are genuinely effective in real world settings in populations that are offered them: they are merely efficacious for those that receive them. Despite behavioral volatility that is a normal part of maintaining steady-state population behavior levels creating the illusion of effectiveness, interventions fail in shifting the curve of population behaviors because they focus on individuals rather than populations. Hagger responds that behavioral interventions work in the 'real world' in spite of, not because of, flux in health behaviors, and that the contention that behavioral theory focuses solely on individual behavior change is inaccurate. Weed responds that the focus on extending the controls of efficacy trials into implementation is impractical, uneconomic and futile, and this has squandered opportunities to conduct genuine effectiveness trials in naturalistic settings. Hagger contends that interventions based on behavioral theory are effective in changing population-level behavior in 'real world' contexts, but more evidence on how best to implement them and how to engage policymakers and practitioners to provide sustained funding is needed. Weed argues for a paradigm shift, away from aggregative attempts to effect individual behavior change towards a focus on disrupting social practices, underpinned by understanding social and economic causation of the distribution and acceptance of behaviors in a population.

On Being More Amenable to Threatening Risk Messages Concerning Close Others (vis-à-vis the Self)

People often respond defensively to risk messages impugning their own behavior. We explored whether people are more amenable to risk messages impugning a close other’s behavior. In two experiments, participants learned how being overweight could influence their own cancer risk or that of an opposite-sex close other. As predicted, participants expressed higher affective risk perceptions (i.e., worry) and experiential risk perceptions for their close others than for themselves. Participants in the close other condition also reported greater interest in diagnostic testing and additional information (Experiment 1) and greater interest in consulting a provider and more plans for remediation (Experiment 2). These effects were mediated by a combination of worry and experiential risk perceptions. The self/other difference emerged even though participants endorsed the messages as believable and relevant; participants were simply more willing to extrapolate from the message to their close other’s risk than to their own risk.

Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans

mHealth tools to help people manage chronic illnesses have surged in popularity, but evidence of their effectiveness remains mixed. The aim of this study was to address a gap in the mHealth and health psychology literatures by investigating how individual differences in psychological traits are associated with mHealth effectiveness. Drawing from regulatory mode theory, we tested the role of locomotion and assessment in explaining why mHealth tools are effective for some but not everyone. A 13-week pilot study investigated the effectiveness of an mHealth app in improving health behaviors among older veterans (n = 27) with poorly controlled Type 2 diabetes. We developed a gamified mHealth tool (DiaSocial) aimed at encouraging tracking of glucose control, exercise, nutrition, and medication adherence. Important individual differences in longitudinal trends of adherence, operationalized as points earned for healthy behavior, over the course of the 13-week study period were found. Specifically, low locomotion was associated with unchanging levels of adherence during the course of the study. In contrast, high locomotion was associated with generally stronger adherence although it exhibited a quadratic longitudinal trend. In addition, high assessment was associated with a marginal, positive trend in adherence over time while low assessment was associated with a marginal, negative trend. Next, we examined the relationship between greater adherence and improved clinical outcomes, finding that greater adherence was associated with greater reductions in glycated hemoglobin (HbA1c) levels. Findings from the pilot study suggest that mHealth technologies can help older adults improve their diabetes management, but a “one size fits all” approach may yield suboptimal outcomes.

Integrating knowledge across domains to advance the science of health behavior: overcoming challenges and facilitating success

Health behaviors often co-occur and have common determinants at multiple levels (e.g., individual, relational, environmental). Nevertheless, research programs often examine single health behaviors without a systematic attempt to integrate knowledge across behaviors. This paper highlights the significant potential of cross-cutting behavioral research to advance our understanding of the mechanisms and causal factors that shape health behaviors. It also offers suggestions for how researchers could develop more effective interventions. We highlight barriers to such an integrative science along with potential steps that can be taken to address these barriers. With a more nuanced understanding of health behavior, redundancies in research can be minimized, and a stronger evidence base for the development of health behavior interventions can be realized.

Inflammation, Self-Regulation, and Health: An Immunologic Model of Self-Regulatory Failure

Self-regulation is a fundamental human process that refers to multiple complex methods by which individuals pursue goals in the face of distractions. Whereas superior self-regulation predicts better academic achievement, relationship quality, financial and career success, and lifespan health, poor self-regulation increases a person's risk for negative outcomes in each of these domains and can ultimately presage early mortality. Given its centrality to understanding the human condition, a large body of research has examined cognitive, emotional, and behavioral aspects of self-regulation. In contrast, relatively little attention has been paid to specific biologic processes that may underlie self-regulation. We address this latter issue in the present review by examining the growing body of research showing that components of the immune system involved in inflammation can alter neural, cognitive, and motivational processes that lead to impaired self-regulation and poor health. Based on these findings, we propose an integrated, multilevel model that describes how inflammation may cause widespread biobehavioral alterations that promote self-regulatory failure. This immunologic model of self-regulatory failure has implications for understanding how biological and behavioral factors interact to influence self-regulation. The model also suggests new ways of reducing disease risk and enhancing human potential by targeting inflammatory processes that affect self-regulation.

It only takes once: The absent-exempt heuristic and reactions to comparison-based sexual risk information

Three studies (N = 545) investigated the effects of social comparison on the "absent-exempt" (AE) heuristic (feeling exempt from future risk). Study 1 examined how comparison with an infected peer (comparison target) who was similar or nonsimilar in terms of sexual risk (number of partners, lack of condom use), influenced willingness and intentions to engage in sex without a condom, and conditional perceived vulnerability to an STD. Participants generally reported lower willingness and higher conditional vulnerability if they compared with a similar-risk level target. However, high-risk students who compared with a low-risk target engaged in what appeared to be AE thinking, reporting the highest willingness and lowest conditional vulnerability. Intentions to have sex without a condom were not influenced. Study 2 included a direct measure of AE thinking and compared the impact of a low-risk comparison target with a Public Service Announcement (PSA) stating that negative outcomes (STDs) can happen even to low-risk targets. Among high-risk participants, comparing with the low-risk target increased AE thinking. The effects in Studies 1 and 2 were strongest among participants high in tendencies to socially compare. Study 3 explored whether AE thinking could be decreased by encouraging more reasoned processing. Results indicated that asking participants to think about the illogicality of AE thinking reduces AE endorsement and increases STD testing intentions. Findings suggest that comparison-based information can have a stronger influence on health cognitions than analytic-based information (e.g., most PSAs). Implications for dual-processing models of decision-making and their applicability to health messages are discussed.

Strategies to increase children's vegetable intake in home and community settings: a systematic review of literature

A systematic review was undertaken to identify intervention characteristics associated with increasing consumption of vegetables in children (2-12 years). PubMed, PsychINFO and CABabstracts were used to identify studies published between 2004-2014 that had measures of vegetable consumption, a minimum of 3-month follow-up and were conducted in home and community settings (outside of schools). Twenty-two studies were included in the review. Details of the study design, population, setting, intervention characteristics, target behaviour, behaviour change techniques used and vegetable intake were extracted. Study quality and intensity were scored. Overall, 12/22 studies were effective short-term, and 6/10 were effective long-term (6 + months); mean short-term change in vegetable intake was 29%, equating to an increase of a quarter to a half of a serving of vegetables. Intervention effectiveness was associated with number of settings targeted and frequency of contact but not length of intervention. Planning for social support, vegetable exposure and provision of staff training were commonly used behaviour change techniques in effective interventions. This review has identified strategies that may optimise effectiveness of future home-based and community-based interventions aiming to increase vegetable intake in young children.

Characterizing Participants in the ClinSeq Genome Sequencing Cohort as Early Adopters of a New Health Technology

Genome sequencing is a novel clinical tool that has the potential to identify genetic origins of disease. However, the complexities of this new technology are significant and little is known about its integration into clinical care, and its potential adoption by patients. Expectations of its promise for personalized medicine are high and it is important to properly match expectations to the realities of the test. The NIH ClinSeq cohort study pilots the integration of genome sequencing into clinical research and care to assess the technical, medical and socio-behavioral aspects of implementing this technology. Over 950 adults ages 45-65 have been enrolled and clinically phenotyped. As an initial study, we describe the personality traits of ClinSeq participants, and explore how these traits compare to those that characterize early adopters of other new technologies. Our analysis was conducted on responses from 630 members of the cohort who completed a baseline survey on health cognitions, affect, health-related behaviors and personality traits, prior to receipt of any genome sequencing results. The majority of participants were white (90.5%), had at least a college degree (86.5%), and had at least one biological child (74.6%). Members of this ClinSeq sample were found to be high in dispositional optimism and resilience. Their high SES paralleled that of other early adopters of new technology. These attributes may contribute to participants’ expectations for favorable outcomes and willingness to take higher risks when compared to the general population. These characteristics may distinguish those who are most likely to pursue genome sequencing and be indicative of their psychological resources to manage returned results.