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Guthrie AJ, Paredes-Echeverri S, Bleier C, Adams C, Millstein DJ, Ranford J, Perez DL. Mechanistic studies in pathological health anxiety: A systematic review and emerging conceptual framework. J Affect Disord 2024; 358:222-249. [PMID: 38718945 PMCID: PMC11298870 DOI: 10.1016/j.jad.2024.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 04/02/2024] [Accepted: 05/02/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Pathological health anxiety (PHA) (e.g., hypochondriasis and illness anxiety disorder) is common in medical settings and associated with increased healthcare costs. However, the psychological and neurobiological mechanisms contributing to the development and maintenance of PHA are incompletely understood. METHODS We performed a systematic review to characterize the mechanistic understanding of PHA. PubMed, PsycINFO, and Embase databases were searched to find articles published between 1/1/1990 and 12/31/2022 employing a behavioral task and/or physiological measures in individuals with hypochondriasis, illness anxiety disorder, and PHA more broadly. RESULTS Out of 9141 records identified, fifty-seven met inclusion criteria. Article quality varied substantially across studies, and was overall inadequate. Cognitive, behavioral, and affective findings implicated in PHA included health-related attentional and memory recall biases, a narrow health concept, threat confirming thought patterns, use of safety-seeking behaviors, and biased explicit and implicit affective processing of health-related information among other observations. There is initial evidence supporting a potential overestimation of interoceptive stimuli in those with PHA. Neuroendocrine, electrophysiology, and brain imaging research in PHA are particularly in their early stages. LIMITATIONS Included articles evaluated PHA categorically, suggesting that sub-threshold and dimensional health anxiety considerations are not contextualized. CONCLUSIONS Within an integrated cognitive-behavioral-affective and predictive processing formulation, we theorize that sub-optimal illness and health concepts, altered interoceptive modeling, biased illness-based predictions and attention, and aberrant prediction error learning are mechanisms relevant to PHA requiring more research. Comprehensively investigating the pathophysiology of PHA offers the potential to identify adjunctive diagnostic biomarkers and catalyze new biologically-informed treatments.
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Affiliation(s)
- Andrew J Guthrie
- Functional Neurological Disorder Unit, Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sara Paredes-Echeverri
- Functional Neurological Disorder Unit, Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Cristina Bleier
- Functional Neurological Disorder Unit, Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Caitlin Adams
- Functional Neurological Disorder Unit, Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel J Millstein
- Functional Neurological Disorder Unit, Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jessica Ranford
- Functional Neurological Disorder Unit, Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Occupational Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - David L Perez
- Functional Neurological Disorder Unit, Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Division of Neuropsychiatry, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Yang R, Zheng H, Cao X, Mo D, Li M, Liu W, Zhong H. Characteristics of attentional bias in adolescents with major depressive disorders: differentiating the impact of anxious distress specifier. Front Psychiatry 2024; 15:1352971. [PMID: 38563026 PMCID: PMC10983793 DOI: 10.3389/fpsyt.2024.1352971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 02/28/2024] [Indexed: 04/04/2024] Open
Abstract
Background No consistent conclusion has been reached regarding the attentional bias characteristics of adolescents with major depressive disorders (MDD), and unexamined co-occurring anxiety distress may contribute to this inconsistency. Methods We enrolled 50 MDD adolescents with anxiety distress, 47 MDD adolescents without anxiety distress and 48 healthy adolescents. We measured attentional bias using a point-probe paradigm during a negative-neutral emotional face task. Reaction time, correct response rate and attentional bias value were measured. Results MDD adolescents did not show a negative attentional bias; MDD adolescents with anxiety distress exhibited longer reaction time for negative and neutral stimuli, lower correct response rate for negative stimuli. Hamilton Anxiety Scale scores were positively correlated with reaction time, negatively correlated with correct response rate, and not significantly correlated with attentional bias value. Limitations The cross-sectional design hinders causal attribution, and positive emotional faces were not included in our paradigm. Conclusion Negative attentional bias is not a stable cognitive trait in adolescents with MDD, and avoidance or difficulty in disengaging attention from negative emotional stimuli may be the attentional bias characteristic of MDD adolescents with anxiety distress.
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Affiliation(s)
- Rong Yang
- Department of Child and Adolescents, Hefei Fourth People’s Hospital, Hefei, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Hongyu Zheng
- Department of Child and Adolescents, Hefei Fourth People’s Hospital, Hefei, China
| | - Xiaomei Cao
- Department of Child and Adolescents, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
| | - Daming Mo
- Department of Child and Adolescents, Anhui Mental Health Center, Hefei, China
| | - Mengting Li
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Wenyuan Liu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Hui Zhong
- Department of Child and Adolescents, Hefei Fourth People’s Hospital, Hefei, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
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Shi C, Taylor S, Witthöft M, Du X, Zhang T, Lu S, Ren Z. Attentional bias toward health-threat in health anxiety: a systematic review and three-level meta-analysis. Psychol Med 2022; 52:604-613. [PMID: 35341486 DOI: 10.1017/s0033291721005432] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Attentional bias toward health-threat may theoretically contribute to the development and maintenance of health anxiety, but the empirical findings have been controversial. This study aimed to synthesize and explore the heterogeneity in a health-threat related attentional bias of health-anxious individuals, and to determine the theoretical model that better represents the pattern of attentional bias in health anxiety. Four databases (Web of Science, PubMed, PsycINFO, and Scopus) were searched for relevant studies, with 17 articles (N = 1546) included for a qualitative review and 16 articles (18 studies) for a three-level meta-analysis (N = 1490). The meta-analytic results indicated that the health anxiety group, compared to the control group, showed significantly greater attentional bias toward health-threat (g = 0.256). Further analyses revealed that attentional bias type, paradigm, and stimuli type were significant moderators. Additionally, compared to the controls, health-anxious individuals displayed significantly greater attention maintenance (g = 0.327) but nonsignificant attention vigilance to health-threat (g = -0.116). Our results provide evidence for the attention maintenance model in health-anxious individuals. The implications for further research and treatment of elevated health anxiety in the context of coronavirus disease-2019 (COVID-19) were also discussed.
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Affiliation(s)
- Congrong Shi
- Key Laboratory of Adolescent Cyberpsychology and Behaviour (Ministry of Education), Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Steven Taylor
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Michael Witthöft
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Xiayu Du
- Key Laboratory of Adolescent Cyberpsychology and Behaviour (Ministry of Education), Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Tao Zhang
- Key Laboratory of Adolescent Cyberpsychology and Behaviour (Ministry of Education), Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Shan Lu
- Key Laboratory of Adolescent Cyberpsychology and Behaviour (Ministry of Education), Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Zhihong Ren
- Key Laboratory of Adolescent Cyberpsychology and Behaviour (Ministry of Education), Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
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