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. 2025 Aug 18;18(4):973–981. doi: 10.1007/s40653-025-00729-7

Fear of Negative Evaluation among College Students during the COVID-19 Pandemic: The Role of Adverse Childhood Experiences and Anxiety Sensitivity

Francesca A St Pe 1,, Isabella K Pallotto 1, Jacquana L Smith 1, Angela Combs 1, Abigail McCarthy 2, Zoey Bass 1, Cathleen C Odar Stough 1
PMCID: PMC12831769  PMID: 41589281

Abstract

Fear of negative evaluation (FNE) impacts adolescent young adult (AYA) college students’ mental health through impaired academic and social performance. Adverse childhood experiences (ACEs) are prevalent among college students and may play a role in exacerbating FNE symptoms. Early life stressors are associated with anxiety sensitivity (AS) which may contribute to the development or worsening of FNE. We examined predictors of FNE among college students during the COVID-19 pandemic, hypothesizing that AS would mediate the relationship between ACEs and FNE. Participants were 192 students (Mage=19.90, SD = 1.26; 66.7% female; 78.6% non-Hispanic White) from a public, midwestern university. Participants completed demographics, ACEs, AS, and FNE questionnaires during March and April of 2020. AS fully mediated the relation between ACEs and FNE. Students who experienced greater ACEs reported increased AS and FNE. Findings suggest AS may be a help prevent further psychological distress from FNE among students who have been impacted by childhood adversity.

Keywords: Fear of negative evaluation, Anxiety sensitivity, Adverse childhood experiences, Adolescent young adults, College students

Introduction

Fear of negative evaluation (FNE), the belief and anxiety that one will be critically judged in social situations (Weeks et al., 2005; Yue & Jia, 2023), can impact college students’ wellbeing through impaired academic and social performance (Ghaedi et al., 2010). FNE is characterized by worry about being evaluated by others, distress over assumed negative evaluations, and expectations of being critically judged by others (Weeks et al., 2005). The college student population is primarily comprised of adolescents and young adults (AYAs), and their developmental stage is reflective of large cognitive, social, and academic demands as AYAs navigate the transition from adolescence to adulthood. Cognitive factors may predispose AYAs to experience FNE; AYAs’ emotion and reward centers of the brain develop earlier than the prefrontal cortex, making social rewards like seeking peer validation and opinions reinforcing (Abrams, 2023; Feng et al., 2022). Among AYAs, FNE is related to social anxiety (Fredrick & Luebbe, 2022), suicidal ideation (Preston et al., 2023), social media addiction (Ali et al., 2021), and academic stress and underachievement (Nonterah et al., 2015; Saddler & Buley, 1999). Targeting FNE may have downstream effects on AYA college students’ socioemotional wellbeing, mental health, and academic achievement.

Despite the importance of FNE, there is a paucity of research examining predictors of FNE in college student AYAs (Hazel et al., 2014). Previous research has identified that low self-esteem and feelings of inferiority around one’s appearance, academic abilities, and physical abilities predict FNE (Li et al., 2023; Sarwat Jahan Khanam & Fazeela Moghal, 2012; You et al., 2019; Yücens & Üzer, 2018). FNE has also been shown to mediate the relationship between self-esteem and social anxiety, and between the self-reinforcement construct of self-regulation and social anxiety (Kocovski & Endler, 2000).

One factor that has been related to other aspects of social comparison and anxiety, but has not been explored in relation to FNE, is adverse childhood experiences (ACEs). ACEs refer to a constellation of traumatic or stressful events occurring before the age of 18 that includes physical, emotional, sexual abuse/neglect and having a parent who is suffering from a mental illness, substance abuse, or domestic violence (Felitti et al., 1998; Karatekin & Hill, 2019). ACEs are prevalent among college students and are associated with impacts on health, behavior, and life success, such as increased risk for anxiety, suicide attempts, alcohol and drug misuse, reduced graduation rates and lower academic achievement (Centers for Disease Control and Prevention, 2019; Dube et al., 2002; Karatekin, 2018; Poole et al., 2017). A recent systematic review reported that 17.5–76.2% of college students endorsed at least one ACE and 0.3–24.6% endorsed four or more ACES (Schwartz et al., 2023).

Previous studies report that child maltreatment, particularly childhood emotional abuse and neglect, is associated with greater risk for the development of social problems and anxiety in adulthood (Bruce et al., 2012; Brühl et al., 2019; Kuo et al., 2011; Lin & Tsai, 2020). However, this prior research does not parse social anxiety into its components, nor evaluate the connection between ACEs and FNE, specifically. To our knowledge, few studies have specifically examined the association between ACEs and FNE (Beth, 1999; Lucero et al., 2022). The few studies examining the association between abuse and FNE have typically used assessments that examine an individual’s general abuse or trauma history rather than examining the relation between ACEs specifically and FNE. One study demonstrated positive associations between abuse and FNE (Beth, 1999), and another found that childhood abuse has been shown to be a predictor of mood disorders via FNE (Lucero et al., 2022).

Another possible predictor of FNE is anxiety sensitivity (AS), which is a heightened awareness of one’s anxiety symptoms and the belief that these anxiety symptoms are harmful (Reiss et al., 1986). Individuals with elevated AS fear the somatic symptoms of anxiety and experience physical, cognitive, and social concerns related to these fears (Taylor et al., 2007). AS is commonly linked with social anxiety, with several studies documenting AS as a predictor of social anxiety symptoms (Allan et al., 2017, 2018; Barlow, 2004; Brooke & Intrieri, 2023; Khakpoor et al., 2019). ACEs have also been identified as contributors to the development of AS (Zavos et al., 2012), and childhood maltreatment is well documented to be associated with AS (Amarneh et al., 2023; King et al., 2020; Martin et al., 2014; McLaughlin & Hatzenbuehler, 2009).

There is a current AYA mental health crisis following the COVID-19 pandemic (Rico et al., 2022), making it critical to understand and support this population’s mental health. During the pandemic, AYA mental health worsened; over 44% of AYAs reported persistent feelings of sadness, almost 20% seriously considered suicide, 9% attempted suicide, and many experienced a significant increase in anxiety, particularly social anxiety, resulting from the social isolation and academic disruption of the pandemic and subsequent shutdown (De Figueiredo et al., 2021; Jefferies & Ungar, 2020; Jones et al., 2021; Magson et al., 2021; Rico et al., 2022; Roche et al., 2022; Wang et al., 2020). AYA students attending college appeared to be particularly affected. The American Psychological Association published a large, comparative cohort study examining college student mental health pre- and post-pandemic (Nails et al., 2023). Findings suggest that the COVID-19 pandemic drastically increased college students’ anxiety and depression (Nails et al., 2023). These concerns are highly associated with FNE (Fredrick & Luebbe, 2022; Preston et al., 2023), and previous research suggests that targeting FNE could target these problems. This delineates a need to understand what predicts FNE in order to support college students’ wellbeing by safeguarding against downstream mental health concerns associated with FNE.

The current study examined predictors of FNE among AYA college students during the COVID-19 pandemic; this study is the first to our knowledge to examine AS and ACEs as correlates of FNE. We hypothesized that ACEs would be positively associated with FNE, and that this relationship would be mediated by AS, given AS is frequently conceptualized as a transdiagnostic mechanism linking two psychological constructs (Amarneh et al., 2023; King et al., 2020).

Methods

Participants

Participants were undergraduate students attending a large, public university in the Midwestern United States. Participants were recruited through Sona Systems, an online system utilized by the institution that provides course credits for students enrolled primarily in introductory psychology courses. Data for this study were collected in the context of a larger study. Study inclusion criteria were: (1) age  at least 18 years, (2) currently enrolled at the university, and (3) not currently pregnant, an outcome in the larger study.

Data collection efforts took place during the early months of the COVID-19 shutdowns from March 2020 to April 2020. A total of 206 students consented to participate. To track valid responses, a validity question was utilized, asking participants to indicate if they responded to the questionnaires honestly. When accounting for responses to the validity question and completion of questionnaires measuring primary outcome variables, 14 participants were excluded from analyses, leaving a final sample of 192 students.

Measures

Demographics

Participants completed a questionnaire created for the current study to assess demographic information (i.e., age, gender, ethnicity, race, marital status, living arrangements, and employment status).

Adverse Childhood Experiences

Exposure to ACEs was measured using the Adverse Childhood Experiences Questionnaire (ACE-Q; Felitti et al., 1998). Participants endorse whether they experienced 10 adverse experiences before the age of 18, including abuse (i.e., emotional, physical, sexual), neglect (i.e., physical, emotional), and household dysfunction (i.e., household substance abuse, mental illness, and incarceration, domestic violence against mother/stepmother, separation/divorce). A total score is calculated with higher scores representing more exposures. Previous research has supported the internal consistency of the ACE-Q, with a Cronbach’s alpha of 0.88 in a clinical and community sample (Murphy et al., 2014).

Anxiety Sensitivity

AS was measured using the Anxiety Sensitivity Index 3 (ASI-3; Taylor et al., 2007) an 18-item self-report measure assessing participants’ concerns of potential negative consequences of anxiety-related symptoms. Participants rated their beliefs about the consequences of symptoms associated with anxious arousal from 0 (very little) to 4 (very much). This measure examines three aspects of anxiety arousal: physical symptoms (e.g., It scares me when my heart beats rapidly), cognitive symptoms (e.g., It scares me when I am unable to keep my mind on a task), and social concerns (e.g., When I tremble in the presence of others, I fear what people might think of me). Items were summed to provide a total score ranging from 0 to 72. ASI-3 total scores between 0 and 16 suggest low AS, scores of 17–22 suggest moderate-to-high anxiety sensitivity, and scores 23 and above indicate high levels of AS (Allan et al., 2014). The ASI-3 has been found to be a psychometrically sound and valid measure of AS with high internal consistency (i.e., Cronbach α = 0.93; Taylor et al., 2007; Wheaton et al., 2012).

Fear of Negative Evaluation

FNE was measured using the Brief Fear of Negative Evaluation Scale (BFNE; Leary, 1983) consisting of 12 self-report questions on social anxiety and fear associated with criticism (e.g., I am afraid that people will find fault with me; Other people’s opinions do not bother me), which are rated from 1 (not at all characteristic of me) to 5 (extremely characteristic of me). Items are summed for a total score ranging from 12 to 60; high scores indicate greater fears of negative evaluation. The BFNE is a valid and reliable measure with a high inter-item reliability (Cronbach’s α = 0.90; Leary, 1983).

Procedure

All study procedures were approved by the Institutional Review Board at the authors’ institution. Participants accessed and completed study measures through a one-time online survey using REDCap (i.e., Research Electronic Data Capture), a secure web application for conducting online studies. Study information was displayed on Sona Systems (described in Participants section). If interested in participating, students clicked on a link that directed them to a detailed study information page, where they then consented by clicking on a link to the survey. Participants completed a survey for inclusion criteria (described in Participants section) and, if eligible, were directed to study measures. Upon completion of the survey, each participant received research credits through the Sona Systems website.

Data Analysis

Utilizing SPSS (IBM SPSS Statistics 29), data were cleaned, evaluated for normality and outliers, and analyzed. Descriptive statistics were used to describe sample characteristics, and key demographics (i.e., gender, race, ethnicity) were tested as potential covariates predicting FNE. Gender was the only significant covariate (p = .04) and was included in the mediation model. PROCESS (Hayes SPSS PROCESS Macro Version 4) was used to test for the mediating effect of AS on the relationship between ACEs and FNE. Total scores for ACEs, AS, and FNE were included in the model. Due to data not being normally distributed, bootstrapping analyses were utilized (Efron, 1992). All significance levels were set at p < .05.

Results

Descriptive Statistics

Participants primarily identified as female (n = 128, 66.7%), White (n = 151, 78.6%), and non-Hispanic (n = 184, 95.8%). The mean age of participants was 19.90 years (SD = 1.26). See Table 1 for related participant demographics. Participants reported moderate-to-high AS, with an average score of 19.40 (SD = 14.50). Participants scored an average of 38.64 (SD = 10.05) on the BFNE. Participants on average reported 1.73 ACEs (SD = 1.98) out of 10, with 60.9% of the sample having experienced at least one ACE (n = 117). Most participants reported having experienced emotional abuse as a child (n = 63; 32.8%), parental divorce (n = 55, 28.6%), and household mental illness (n = 50,26%).

Table 1.

Participant demographic information

N (%)
Gender
 Female 128 (66.7)
 Male 61 (31.8)
 Transgender and non-binary 3 (1.6)
Race
 Caucasian/White 151 (78.6)
 African American/Black 11 (5.7)
 Asian 16 (8.3)
 Multiracial/other race 14 (7.3)
Ethnicity
 Hispanic/Latino 7 (3.6)
 Not Hispanic/Latino 184 (95.8)
 Unknown 1 (0.5)
Marital Status
 Currently married 13 (6.8)
 Not married, living with partner 9 (4.7)
 Single, never married 170 (88.5)
Employment
 Employed full-time 3 (1.6)
 Employed part-time 92 (47.9)
 Not employed, looking for work 49 (25.5)
 Not employed, not looking for work 47 (24.5)
 Employed, on medical leave 1 (0.5)
Living arrangement
 On campus 76 (39.6)
 Off-campus with parent(s) 62 (32.3)
 Off-campus living alone 5 (2.6)
 Off-campus with roommate(s) 45 (23.4)
 Other living arrangements 4 (2.1)

Note. Demographic information was calculated with a final sample of 192 students

Total scores for AS, FNE, and ACEs were positively correlated with one another. See Table 2.

Table 2.

Zero-order correlations among variables

1 2 3
1. AS -
2. FNE 0.573** -
3. ACEs 0.368** 0.208** -

Note. AS = total anxiety sensitivity score; FNE = total fear of negative evaluation score; ACES = total adverse childhood experiences score; *Correlation is significant at the 0.01 level (2-tailed); p < .001

Mediation Model

A significant direct effect was found for ACEs on FNE (b = 2.58, t = 5.06, p < .001). The indirect effect of AS on the relationship between ACEs and FNE was significant (a*b = 1.01, CI95 = 0.59–1.50). AS completely accounted for the total effect of ACEs on FNE [PM= (1.01)/ (0.91)]. There was no significant direct effect between ACEs and FNE when controlling for AS (b = -0.10, t = -0.30 p = .76), suggesting full mediation. Gender was no longer significant once it was included in the mediation model. See Fig. 1.

Fig. 1.

Fig. 1

Mediation model. Note: Results of the mediation analyses, including standardized (β) and unstandardized (b) path coefficients. Coefficients above the arrow are estimates of the total effect; those below the arrow are estimates of the direct effect. ACEs = adverse childhood experiences, AS = anxiety sensitivity, FNE = fear of negative evaluation. Gender was initially a significant covariate for predicting fear of FNE (p = .04) but was not significant once it was included in the mediation model

Discussion

The current study was the first to our knowledge to examine ACEs and AS as correlates of FNE among college students. Students who experienced more ACEs reported higher levels of AS, indicating a heightened fear of experiencing anxiety-related sensations. Additionally, greater ACEs were associated with increased FNE, reflecting a greater concern about being judged negatively in social situations. AD fully mediated the relationship between ACEs and FNE. These findings align with prior research that suggests childhood exposure to adverse experiences can have lasting effects on psychological functioning, contributing to the development of anxiety-related symptoms in young adulthood (Amarneh et al., 2023; King et al., 2020), while also being nuanced in the context of the COVID-19 pandemic.

AS completely accounted for the total effect of ACEs on FNE, suggesting that heightened FNE among participants with ACEs is largely driven by heightened sensitivity to anxiety symptoms. Further, heightened awareness of one’s own anxiety symptoms may lead to the development of fears and worries associated with perceptions of others. Individuals with heightened AS are more likely to be hypervigilant about their own physical, cognitive, and emotional responses to stressful events (Ngien & Hogan, 2023). In the context of a global pandemic, a period of increased stress, where social interactions were limited and often shifted to virtual platforms, this heightened self-focus may have become more pronounced (Ngien & Hogan, 2023). This is especially relevant considering the increase in online courses since the pandemic (Clary et al., 2022). More research is needed in this area to examine the effects of the pandemic on AS.

The link between AS and FNE in the context of experience of ACEs can be conceptualized as a cascade of events among AYAs. AS is significant during stressful events; AYAs with heightened AS may interpret these symptoms as negative and threatening, possibly exacerbating anxiety and contributing to an increasing cycle of heightened AS (Yue & Jia, 2023). Through increased awareness of anxiety symptoms and potential negative consequences of these symptoms, concern of external perceptions may increase as well. This progression is where FNE can foster; AYAs may worry that others will notice their anxiety-related sensations and interpret these as signs of incompetence and inadequacy (Weeks et al., 2005). Additionally, childhood maltreatment, particularly parental threatening behavior, is associated with greater AS in AYAs (Scher & Stein, 2003). Exposure to certain ACEs that involve uncontrolled parental behavior, such as emotional abuse or parental substance abuse, might dispose the child to a fear of their own symptoms of arousal and loss of control, further increasing the likelihood of developing anxiety symptoms and AS (Watt & Stewart, 2003).

Clinical Implications

The findings of this study have several important clinical implications. FNE is a key diagnostic criterion for the diagnosis of social anxiety (American Psychiatric Association, 2013), and is associated with several other mental health conditions (e.g., social media addiction, and suicidality; Ali et al., 2021; Preston et al., 2023), academic stress, and underachievement (Nonterah et al., 2015; Saddler & Buley, 1999). Hence, understanding the connection of ACEs to FNE through AS allows for targeted, empirically supported treatments to alleviate later presence of greater psychological symptoms and subsequent harmful behaviors. Previous literature has supported that AS is responsive to interventions such as cognitive-behavioral treatments that utilize mindfulness techniques (Otto & Reilly-Harrington, 1999). Hence, treating AS could potentially alleviate the effects of ACEs on FNE, subsequently improving and preventing further psychological distress from FNE symptoms. Providing mental health resources that build on resilience, emotion regulation, psychoeducation, and effective coping strategies in tandem with traditional therapeutic approaches may aid in breaking the cycle of heightened AS leading to FNE in college students with ACEs (Allan et al., 2015; Asnaani et al., 2020; Dąbkowska et al., 2021). The mediating effect of AS on ACEs and FNE underscores the importance of a transdiagnostic approach to addressing mental health concerns in college students and the underlying mechanisms, ultimately improving the well-being of AYAs, particularly during challenging times. The study findings also highlight the importance of addressing AS in interventions that target FNE, particularly for students who have experienced childhood stress and trauma. Integrating interventions that target AS may be more effective in improving overall mental well-being than focusing solely on specific disorders. By targeting underlying mechanisms that cut across different psychological conditions, clinicians and educators may provide more comprehensive and efficient support to college students experiencing distress.

Limitations

Although the current study is novel in assessing the relationship among FNE, AS, and ACEs among college students during the COVID-19 pandemic, it is essential to acknowledge several limitations. Data for this study was collected during the early months of the COVID-19 lockdown, a time marked by sudden changes to university policy and curriculum, and unpredictability from the status of the COVID-19 virus, followed by subsequent increases in mental health concerns among AYA student populations. Results should be interpreted in the context of this timeframe. Future research should examine the relationship between FNE, AS, and ACEs during a timeframe where COVID-19 does not restrict traditional academics, extracurricular activities, or social interaction to determine whether these findings are generalizable to AYAs outside the context of COVID-19.

Due to the cross-sectional design, causality cannot be determined, and relationships explored in this study can only be considered as associations. Future research should longitudinally examine the relation between ACEs and FNE and the role of AS in mediating this relationship over time. Additionally, the use of self-report to assess FNE and AS and retrospective-report of ACEs may have resulted in biased measurement of study constructs. Future research should utilize multiple methods and multiple raters, such as clinician or parent report of symptoms, to reduce the impact of bias.(Brenner & DeLamater, 2016) Additionally, current recommendations for measuring ACEs suggest using a dimensional approach that assesses individual exposure to each adverse experience rather than assessing ACEs as a binary (McLennan et al., 2020; Reidy et al., 2021).

The study’s sample was comprised of college students primarily identifying as female, non-Hispanic, and White from one university in the United States. This limits the generalizability of results to other diverse groups and samples of young adults who are not students. Future research should examine these variables within more diverse populations to determine whether current study findings can be replicated within racial and ethnic minoritized groups as well as non-student AYAs.

Conclusions

The current study supports that AS is a critical component in the understanding of the relationship between ACEs and FNE among AYA college students during the early months of the COVID-19 pandemic. AS may be a potential factor that can be addressed via psychological interventions to alleviate the long-term consequences of ACEs on the development of fears relating to anxiety in college students. Therapeutic strategies to cope with symptoms of AS could alter the presentation of FNE in students who have been impacted by ACEs. Future studies using a longitudinal design to establish a causal relationship between ACEs, FNE, and AS are needed to further the literature on FNE among college students with histories of ACEs.

Funding

No funds, grants, or other support was received.

Declarations

Conflict of Interest

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors of this manuscript confirm that there are no conflicts of interest associated with this publication and there has been no financial support for this work that could have influenced its outcome.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. Abrams, Z. (2023, January 1). Kids’ mental health is in crisis. Here’s what psychologists are doing to help. https://www.apa.org/monitor/2023/01/trends-improving-youth-mental-health
  2. Ali, F., Ali, A., Iqbal, A., & Ullah Zafar, A. (2021). How socially anxious people become compulsive social media users: The role of fear of negative evaluation and rejection. Telematics and Informatics, 63, 101658. 10.1016/j.tele.2021.101658 [Google Scholar]
  3. Allan, N. P., Raines, A. M., Capron, D. W., Norr, A. M., Zvolensky, M. J., & Schmidt, N. B. (2014). Identification of anxiety sensitivity classes and clinical cut-scores in a sample of adult smokers: Results from a factor mixture model. Journal of Anxiety Disorders, 28(7), 696–703. 10.1016/j.janxdis.2014.07.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Allan, N. P., Short, N. A., Albanese, B. J., Keough, M. E., & Schmidt, N. B. (2015). Direct and mediating effects of an anxiety sensitivity intervention on posttraumatic stress disorder symptoms in trauma-exposed individuals. Cognitive Behaviour Therapy, 44(6), 512–524. 10.1080/16506073.2015.1075227 [DOI] [PubMed] [Google Scholar]
  5. Allan, N. P., Oglesby, M. E., Uhl, A., & Schmidt, N. B. (2017). Cognitive risk factors explain the relations between neuroticism and social anxiety for males and females. Cognitive Behaviour Therapy, 46(3), 224–238. 10.1080/16506073.2016.1238503 [DOI] [PubMed] [Google Scholar]
  6. Allan, N. P., Cooper, D., Oglesby, M. E., Short, N. A., Saulnier, K. G., & Schmidt, N. B. (2018). Lower-order anxiety sensitivity and intolerance of uncertainty dimensions operate as specific vulnerabilities for social anxiety and depression within a hierarchical model. Journal of Anxiety Disorders, 53, 91–99. 10.1016/j.janxdis.2017.08.002 [DOI] [PubMed] [Google Scholar]
  7. Amarneh, D., Lebeaut, A., Viana, A. G., Alfano, C. A., & Vujanovic, A. A. (2023). The role of anxiety sensitivity in the association between childhood maltreatment and sleep disturbance among adults in psychiatric inpatient treatment. The Journal of Nervous and Mental Disease, 211(4), 306. 10.1097/NMD.0000000000001621 [DOI] [PubMed] [Google Scholar]
  8. American Psychiatric Association (Ed.). (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (5th ed.). American Psychiatric Association.
  9. Asnaani, A., Tyler, J., McCann, J., Brown, L., & Zang, Y. (2020). Anxiety sensitivity and emotion regulation as mechanisms of successful CBT outcome for anxiety-related disorders in a naturalistic treatment setting. Journal of Affective Disorders, 267, 86–95. 10.1016/j.jad.2020.01.160 [DOI] [PubMed] [Google Scholar]
  10. Barlow, D. H. (2004). Anxiety and its disorders: The nature and treatment of anxiety and panic. Guilford Press.
  11. Beth, P. (1999). Childhood and adolescent abuse history, fear of negative evaluation, and social interaction self-statements: A correlational analysis. Child and Adolescent Social Work Journal, 16(1), 47–65. 10.1023/A:1022265706650 [Google Scholar]
  12. Brenner, P. S., & DeLamater, J. (2016). Lies, damned lies, and survey self-reports? Identity as a cause of measurement bias. Social Psychology Quarterly, 79(4), 333–354. 10.1177/0190272516628298 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Brooke, C. M., & Intrieri, R. C. (2023). The influence of anxiety sensitivity, & personality on social anxiety symptoms. Current Psychology, 42(11), 9249–9260. 10.1007/s12144-021-02238-w [Google Scholar]
  14. Bruce, L. C., Heimberg, R. G., Blanco, C., Schneier, F. R., & Liebowitz, M. R. (2012). Childhood maltreatment and social anxiety disorder: Implications for symptom severity and response to pharmacotherapy. Depression and Anxiety, 29(2), 132–139. 10.1002/da.20909 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Brühl, A., Kley, H., Grocholewski, A., Neuner, F., & Heinrichs, N. (2019). Child maltreatment, peer victimization, and social anxiety in adulthood: A cross-sectional study in a treatment-seeking sample. Bmc Psychiatry, 19(1), 418. 10.1186/s12888-019-2400-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Centers for Disease Control and Prevention (2019). Preventing Adverse Childhood Experiences.
  17. Clary, G., Dick, G., Akbulut, A. Y., & Slyke, C. V. (2022). The after times: College students’ desire to continue with distance learning post pandemic. Communications of the Association for Information Systems, 50. 10.17705/1CAIS.05003
  18. Dąbkowska, M., Kobierecka-Dziamska, A., Prusaczyk, M., Dąbkowska, M., Kobierecka-Dziamska, A., & Prusaczyk, M. (2021). Anxiety, coping strategies and resilience among children and adolescents during COVID-19 pandemic: A systematic review. In Anxiety, Uncertainty, and Resilience During the Pandemic Period—Anthropological and Psychological Perspectives. IntechOpen. 10.5772/intechopen.97828
  19. De Figueiredo, C. S., Sandre, P. C., Portugal, L. C. L., Mázala-de-Oliveira, T., Da Silva Chagas, L., Raony, Í., Ferreira, E. S., Giestal-de-Araujo, E., Dos Santos, A. A., & Bomfim, P. O. S. (2021). COVID-19 pandemic impact on children and adolescents’ mental health: Biological, environmental, and social factors. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 106, 110171. 10.1016/j.pnpbp.2020.110171 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Dube, S. R., Anda, R. F., Felitti, V. J., Edwards, V. J., & Croft, J. B. (2002). Adverse childhood experiences and personal alcohol abuse as an adult. Addictive Behaviors, 27(5), 713–725. 10.1016/S0306-4603(01)00204-0 [DOI] [PubMed] [Google Scholar]
  21. Efron, B. (1992). Bootstrap methods: Another look at the jackknife. In S. Kotz & N. L. Johnson (Eds.), Breakthroughs in Statistics (pp. 569–593). Springer New York. 10.1007/978-1-4612-4380-9_41
  22. Felitti, V. J., Anda, R. F., Nordenberg, D., Williamson, D. F., Spitz, A. M., Edwards, V., Koss, M. P., & Marks, J. S. (1998). Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults. The adverse childhood experiences (ACE) study. American Journal of Preventive Medicine, 14(4), 245–258. 10.1016/s0749-3797(98)00017-8 [DOI] [PubMed] [Google Scholar]
  23. Feng, C., Krueger, F., Gu, R., & Luo, W. (2022). Decoding fear of negative evaluation from brain morphology: A machine-learning study on structural neuroimaging data. Quantitative Biology, 10(4). 10.15302/J-QB-021-0266. Article 4.
  24. Fredrick, J. W., & Luebbe, A. M. (2022). Prospective associations between fears of negative evaluation, fears of positive evaluation, and social anxiety symptoms in adolescence. Child Psychiatry & Human Development. 10.1007/s10578-022-01396-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Ghaedi, G. H., Tavoli, A., Bakhtiari, M., Melyani, M., & Sahragard, M. (2010). Quality of life in college students with and without social phobia. Social Indicators Research, 97(2), 247–256. 10.1007/s11205-009-9500-3 [Google Scholar]
  26. Hazel, M., Keaten, J., & Kelly, L. (2014). The relationship between personality temperament, communication reticence, and fear of negative evaluation. Communication Research Reports, 31(4), 339–347. 10.1080/08824096.2014.963219 [Google Scholar]
  27. Jefferies, P., & Ungar, M. (2020). Social anxiety in young people: A prevalence study in seven countries. PLOS ONE, 15(9), e0239133. 10.1371/journal.pone.0239133 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Jones, E. A. K., Mitra, A. K., & Bhuiyan, A. R. (2021). Impact of COVID-19 on mental health in adolescents: A systematic review. International Journal of Environmental Research and Public Health, 18(5), 2470. 10.3390/ijerph18052470 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Karatekin, C. (2018). Adverse childhood experiences (ACEs), stress and mental health in college students. Stress and Health, 34(1), 36–45. 10.1002/smi.2761 [DOI] [PubMed] [Google Scholar]
  30. Karatekin, C., & Hill, M. (2019). Expanding the original definition of adverse childhood experiences (ACEs). Journal of Child & Adolescent Trauma, 12(3), 289–306. 10.1007/s40653-018-0237-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Khakpoor, S., Saed, O., & Shahsavar, A. (2019). The concept of anxiety sensitivity in social anxiety disorder presentations, symptomatology, and treatment: A theoretical perspective. Cogent Psychology, 6(1), 1617658. 10.1080/23311908.2019.1617658 [Google Scholar]
  32. King, C. D., Hilton, B. T., Greenfield, S. F., McHugh, R. K., Griffin, M. L., Weiss, R. D., & Ressler, K. J. (2020). Anxiety sensitivity and grit as mediators between childhood abuse and relapse risk for substance use. Child Abuse & Neglect, 107, 104568. 10.1016/j.chiabu.2020.104568 [DOI] [PubMed] [Google Scholar]
  33. Kocovski, N. L., & Endler, N. S. (2000). Social anxiety, self-regulation, and fear of negative evaluation. European Journal of Personality, 14(4), 347–358. 10.1002/1099-0984(200007/08)14:4%3C347::AID-PER381%3E3.0.CO;2-7 [Google Scholar]
  34. Kuo, J. R., Goldin, P. R., Werner, K., Heimberg, R. G., & Gross, J. J. (2011). Childhood trauma and current psychological functioning in adults with social anxiety disorder. Journal of Anxiety Disorders, 25(4), 467–473. 10.1016/j.janxdis.2010.11.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Leary, M. R. (1983). A brief version of the fear of negative evaluation scale. Personality and Social Psychology Bulletin, 9(3), 371–375. 10.1177/0146167283093007 [Google Scholar]
  36. Li, J., Jia, S., Wang, L., Zhang, M., & Chen, S. (2023). Relationships among inferiority feelings, fear of negative evaluation, and social anxiety in Chinese junior high school students. Frontiers in Psychology, 13, 1015477. 10.3389/fpsyg.2022.1015477 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Lin, E., & Tsai, S. J. (2020). Gene-environment interactions and role of epigenetics in anxiety disorders. In Y.-K. Kim (Ed.), Anxiety Disorders: Rethinking and Understanding Recent Discoveries (pp. 93–102). Springer. 10.1007/978-981-32-9705-0_6 [DOI] [PubMed]
  38. Lucero, M. M., Satz, S., Miceli, R., Swartz, H. A., & Manelis, A. (2022). The effects of mood disorders and childhood trauma on fear of positive and negative evaluation. Acta Psychologica, 227, 103603. 10.1016/j.actpsy.2022.103603 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Magson, N. R., Freeman, J. Y. A., Rapee, R. M., Richardson, C. E., Oar, E. L., & Fardouly, J. (2021). Risk and protective factors for prospective changes in adolescent mental health during the COVID-19 pandemic. Journal of Youth and Adolescence, 50(1), 44–57. 10.1007/s10964-020-01332-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Martin, L., Viljoen, M., Kidd, M., & Seedat, S. (2014). Are childhood trauma exposures predictive of anxiety sensitivity in school attending youth? Journal of Affective Disorders, 168, 5–12. 10.1016/j.jad.2014.06.035 [DOI] [PubMed] [Google Scholar]
  41. McLaughlin, K. A., & Hatzenbuehler, M. L. (2009). Stressful life events, anxiety sensitivity, and internalizing symptoms in adolescents. Journal of Abnormal Psychology, 118(3), 659–669. 10.1037/a0016499 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. McLennan, J. D., MacMillan, H. L., & Afifi, T. O. (2020). Questioning the use of adverse childhood experiences (ACEs) questionnaires. Child Abuse & Neglect, 101, 104331. 10.1016/j.chiabu.2019.104331 [DOI] [PubMed] [Google Scholar]
  43. Murphy, A., Steele, M., Dube, S. R., Bate, J., Bonuck, K., Meissner, P., Goldman, H., & Steele, H. (2014). Adverse childhood experiences (ACEs) questionnaire and adult attachment interview (AAI): Implications for parent child relationships. Child Abuse & Neglect, 38(2), 224–233. 10.1016/j.chiabu.2013.09.004 [DOI] [PubMed] [Google Scholar]
  44. NailsJ. G., Maffly-KippJ., DeShongH. L., LowmasterS. E., & KurtzJ. E. (2023). A crisis in college student mental health? Self-ratings of psychopathology before and after the COVID-19 pandemic. Psychological Assessment. https://psycnet.apa.org/doi/10.1037/pas0001241 [DOI] [PubMed] [Google Scholar]
  45. Ngien, A., & Hogan, B. (2023). The relationship between zoom use with the camera on and zoom fatigue: Considering self-monitoring and social interaction anxiety. Information Communication & Society, 26(10), 2052–2070. 10.1080/1369118X.2022.2065214 [Google Scholar]
  46. Nonterah, C. W., Hahn, N. C., Utsey, S. O., Hook, J. N., Abrams, J. A., Hubbard, R. R., & Opare-Henako, A. (2015). Fear of negative evaluation as a mediator of the relation between academic stress, anxiety and depression in a sample of Ghanaian college students. Psychology and Developing Societies, 27(1), 125–142. 10.1177/0971333614564747 [Google Scholar]
  47. Otto, M. W., & Reilly-Harrington, N. A. (1999). The impact of treatment on anxiety sensitivity. In S. Taylor (Ed.), Anxiety sensitivity: Theory, research, and treatment of the fear of anxiety (pp. 321–336). Lawrence Erlbaum Associates.
  48. Poole, J. C., Dobson, K. S., & Pusch, D. (2017). Anxiety among adults with a history of childhood adversity: Psychological resilience moderates the indirect effect of emotion dysregulation. Journal of Affective Disorders, 217, 144–152. 10.1016/j.jad.2017.03.047 [DOI] [PubMed] [Google Scholar]
  49. Preston, E. G., Villarosa-Hurlocker, M. C., Raposa, E. B., Pearson, M. R., Bravo, A. J., & Protective Strategies Study Team. (2023). Fear of negative evaluation and suicidal ideation among college students: The moderating role of impulsivity-like traits. Journal of American College Health, 71(2), 396–402. 10.1080/07448481.2021.1891919 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Reidy, D. E., Niolon, P. H., Estefan, L. F., Kearns, M. C., D’Inverno, A. S., Marker, C. D., & Merrick, M. T. (2021). Measurement of adverse childhood experiences: It matters. American Journal of Preventive Medicine, 61(6), 821–830. 10.1016/j.amepre.2021.05.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Reiss, S., Peterson, R. A., Gursky, D. M., & McNally, R. J. (1986). Anxiety sensitivity, anxiety frequency and the prediction of fearfulness. Behaviour Research and Therapy, 24(1), 1–8. 10.1016/0005-7967(86)90143-9 [DOI] [PubMed] [Google Scholar]
  52. Rico, A., Brener, N. D., Thornton, J., Mpofu, J. J., Harris, W. A., Roberts, A. M., Kilmer, G., Chyen, D., Whittle, L., Leon-Nguyen, M., Lim, C., Saba, A., Bryan, L. N., Smith-Grant, J., & Underwood, J. M. (2022). Adolescent Behaviors and Experiences Survey—United States, January–June 2021. 71(3). [DOI] [PMC free article] [PubMed]
  53. Roche, A. I., Holdefer, P. J., & Thomas, E. B. K. (2022). College student mental health: Understanding changes in psychological symptoms in the context of the COVID-19 pandemic in the united States. Current Psychology. 10.1007/s12144-022-03193-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Saddler, C. D., & Buley, J. (1999). Predictors of academic procrastination in college students. Psychological Reports, 84(2), 686–688. 10.2466/pr0.1999.84.2.686 [Google Scholar]
  55. Sarwat Jahan Khanam & Fazeela Moghal (2012). Self esteem as a predictor of fear of negative evaluation and social anxiety. Pakistan Journal of Psychology, 43(1), Article 1. https://www.pjpku.com/index.php/pjp/article/view/112
  56. Scher, C. D., & Stein, M. B. (2003). Developmental antecedents of anxiety sensitivity. Journal of Anxiety Disorders, 17(3), 253–269. 10.1016/s0887-6185(02)00202-5 [DOI] [PubMed] [Google Scholar]
  57. Schwartz, A., Arsandaux, J., Montagni, I., Meschke, L. L., Galera, C., & Tzourio, C. (2023). Adverse childhood experiences and substance use among university students: A systematic review. Journal of Substance Use, 28(6), 823–833. https://doi-org.uc.idm.oclc.org/10.1080/14659891.2022.2114389 [Google Scholar]
  58. Taylor, S., Zvolensky, M. J., Cox, B. J., Deacon, B., Heimberg, R. G., Ledley, D. R., Abramowitz, J. S., Holaway, R. M., Sandin, B., Stewart, S. H., Coles, M., Eng, W., Daly, E. S., Arrindell, W. A., Bouvard, M., & Cardenas, S. J. (2007). Robust dimensions of anxiety sensitivity: Development and initial validation of the anxiety sensitivity Index-3. Psychological Assessment, 19(2), 176–188. 10.1037/1040-3590.19.2.176 [DOI] [PubMed] [Google Scholar]
  59. Wang, X., Hegde, S., Son, C., Keller, B., Smith, A., & Sasangohar, F. (2020). Investigating mental health of US college students during the COVID-19 pandemic: Cross-sectional survey study. Journal of Medical Internet Research, 22(9), e22817. 10.2196/22817 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Watt, M. C., & Stewart, S. H. (2003). The role of anxiety sensitivity components in mediating the relationship between childhood exposure to parental dyscontrol and adult anxiety symptoms. Journal of Psychopathology and Behavioral Assessment, 25(3), 167–176. 10.1023/A:1023572923371 [Google Scholar]
  61. Weeks, J. W., Heimberg, R. G., Fresco, D. M., Hart, T. A., Turk, C. L., Schneier, F. R., & Liebowitz, M. R. (2005). Empirical validation and psychometric evaluation of the brief fear of negative evaluation scale in patients with social anxiety disorder. Psychological Assessment, 17(2), 179–190. 10.1037/1040-3590.17.2.179 [DOI] [PubMed] [Google Scholar]
  62. Wheaton, M. G., Deacon, B. J., McGrath, P. B., Berman, N. C., & Abramowitz, J. S. (2012). Dimensions of anxiety sensitivity in the anxiety disorders: Evaluation of the ASI-3. Journal of Anxiety Disorders, 26(3), 401–408. 10.1016/j.janxdis.2012.01.002 [DOI] [PubMed] [Google Scholar]
  63. You, Z., Zhang, Y., Zhang, L., Xu, Y., & Chen, X. (2019). How does self-esteem affect mobile phone addiction? The mediating role of social anxiety and interpersonal sensitivity. Psychiatry Research, 271, 526–531. 10.1016/j.psychres.2018.12.040 [DOI] [PubMed] [Google Scholar]
  64. Yücens, B., & Üzer, A. (2018). The relationship between internet addiction, social anxiety, impulsivity, self-esteem, and depression in a sample of Turkish undergraduate medical students. Psychiatry Research, 267, 313–318. 10.1016/j.psychres.2018.06.033 [DOI] [PubMed] [Google Scholar]
  65. Yue, Y., & Jia, Y. (2023). Fear of negative evaluation: A cross-sectional study among undergraduate nursing students. Nurse Education Today, 121, 105678. 10.1016/j.nedt.2022.105678 [DOI] [PubMed] [Google Scholar]
  66. Zavos, H. M. S., Wong, C. C. Y., Barclay, N. L., Keers, R., Mill, J., Rijsdijk, F. V., Gregory, A. M., & Eley, T. C. (2012). Anxiety sensitivity in adolescence and young adulthood: The role of stressful life events, 5HTTLPR and their interaction. Depression and Anxiety, 29(5), 400–408. 10.1002/da.21921 [DOI] [PubMed] [Google Scholar]

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