PARJ AFRICA JOURNAL OF AFRICAN TROPICAL MEDICINE AND HEALTH

Tropical medicine · Epidemiology · Laboratory science · African public health scholarship

| Vol. 7, Issue 2 (2026) | Pages 112–131

 

SYSTEMATIC REVIEW · REVISED MANUSCRIPT doi: 10.5281/zenodo.19681983

 

Psychophysiological Mechanisms Linking Psychological Stress to Functional Otolaryngological Symptoms: A Systematic Review and Meta-Analysis

Shuaib Kayode Aremu[ (Liu H & Psychiatry, 2025), (Shargorodsky J & Med, 2010)]

¹ Dept. of Otorhinolaryngology, Afe-Babalola University, Ado-Ekiti, Ekiti State, Nigeria

² Dept. of Otorhinolaryngology, Federal Teaching Hospital, Ado-Ekiti, Ekiti State, Nigeria

Received

7 April 2026

Revised

14 April 2026

Accepted

15 Apr 2026

Published

16 Apr 2026

 

CORRESPONDING AUTHOR

Prof. Shuaib Kayode Aremu

MBBS(IL); Certs.LMIH&IEGH(Washington); MScPH(USW); PhDPH(SUSL); FWACS(WA); FACS(USA)

ENT, College of Medicine & Health Sciences, Afe-Babalola University, Ado-Ekiti, Nigeria

aremusk@abuad.edu.ng

+2348033583842

ORCID: 0000-0002-0165-6867

🔓

OPEN ACCESS

CR

CROSSREF

 

CC BY 4.0 · © 2026 Aremu SK

 

HOW TO CITE THIS ARTICLE

Aremu SK. Psychophysiological Mechanisms Linking Psychological Stress to Functional Otolaryngological Symptoms: A Systematic Review and Meta-Analysis. PARJ Africa Journal of African Tropical Medicine and Health. 2026;7( (Shargorodsky J & Med, 2010)):112–131. doi:10.5281/zenodo.19681983

DOI: https://doi.org/10.5281/zenodo.19681983

 

ABSTRACT

Background: Functional otolaryngological (ENT) symptoms tinnitus, globus pharyngeus, and functional dysphonia frequently present without identifiable structural pathology. These three clinically and anatomically distinct conditions share a compelling psychophysiological feature: their onset and exacerbation are strongly associated with psychological stress. Emerging psychoneuroimmunological evidence delineates specific autonomic, neuroendocrine, and central neuroplastic pathways linking chronic stress to ENT symptomatology.

Objective: To systematically evaluate the association between psychological stress and functional ENT symptoms, critically appraise methodological quality, and elucidate the underlying psychophysiological mechanisms.

Methods: A systematic review and meta-analysis was conducted following PRISMA 2020 guidelines. PubMed and Scopus were searched using pre-specified Boolean strategies (). Study quality was assessed using the Newcastle-Ottawa Scale (NOS). Effect sizes (Pearson r) were transformed to Fisher's Z prior to pooling using a DerSimonian-Laird random-effects model, then back-transformed. Publication bias was assessed with Egger's regression test and a funnel plot.

Results: Thirty-two studies (N = 6,845 participants) met inclusion criteria. The corrected pooled correlation was r = 0.46 (95% CI: 0.40–0.52; pooled Z = 0.499; p < 0.001; I² = 63%). Prediction interval: r = 0.19–0.65. Subgroup estimates: tinnitus r = 0.49 (0.43–0.55), globus pharyngeus r = 0.48 (0.40–0.56), functional dysphonia r = 0.41 (0.34–0.48). No significant publication bias (Egger’s p = 0.17). Mean NOS quality score: 6.4/9.

Conclusion: Psychological stress is significantly associated with functional ENT symptomatology via five interconnected mechanisms: autonomic dysregulation, HPA axis activation with glucocorticoid receptor-mediated neuroplasticity, allostatic load, laryngopharyngeal muscle tension, and central sensitization with cognitive-behavioural reinforcement. Reverse causation cannot be excluded. Integration of psychosocial screening and multidisciplinary management is clinically warranted.

Keywords: Stress; tinnitus; globus pharyngeus; functional dysphonia; psychosomatic; autonomic nervous system; central sensitization; neuroplasticity; allostatic load; psychoneuroimmunology

 

© 2026 Aremu SK. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

Functional otolaryngological (ENT) disorders are defined by clinically significant, often distressing symptomatology in the absence of identifiable structural or anatomical pathology. The three conditions examined in this review are clinically and anatomically distinct. Tinnitus the perception of phantom sound in the absence of external acoustic stimulation requires audiometric evaluation and tympanometry to exclude conductive and sensorineural hearing loss.[ (Liu H & Psychiatry, 2025), (Shargorodsky J & Med, 2010)] Globus pharyngeus the persistent, non-painful sensation of a lump in the throat necessitates laryngoscopy, oesophageal manometry, and pH-impedance monitoring to exclude structural, reflux-related, and neuromuscular aetiologies.[ (Sheikh et al., 2015)] Functional dysphonia a disorder of vocal quality, pitch, or loudness in the absence of structural vocal fold pathology requires videostrobolaryngoscopy to exclude lesions, paralysis, and papillomatosis.[ (Rosen & Murry, 2000)] Despite their clinical and anatomical distinctiveness, these three conditions share a compelling psychophysiological feature: their onset, severity, and chronicity are consistently and strongly associated with psychological stress and affective dysregulation.

Tinnitus affects approximately 15% of adults globally, with a significant proportion reporting severe distress and impact on quality of life.[ (Liu H & Psychiatry, 2025), (Shargorodsky J & Med, 2010)] Functional dysphonia accounts for a substantial proportion of voice clinic referrals, yet frequently yields no laryngoscopic abnormality.[ (Rosen & Murry, 2000)] Globus pharyngeus, while often self-limiting, generates significant healthcare utilisation and patient anxiety.[ (Sheikh et al., 2015)] A critical treatment gap exists across all three conditions: in the absence of identifiable structural pathology, pharmacological and surgical interventions offer limited benefit, yet psychosocial assessment and management remain systematically underutilised in routine otolaryngological care.[ (Cohen et al., 1983), (Zigmond & Snaith, 1983)]

The biological plausibility of stress-mediated ENT pathology rests on several intersecting frameworks. Selye's general adaptation syndrome established that chronic physiological stress produces widespread systemic dysregulation.[ (Nakanome, 1957)] McEwen's concept of allostatic load the cumulative physiological burden of repeated stress-system activation across neuroendocrine, autonomic, and immune axes provides a powerful mechanistic framework for understanding how chronic stress progressively lowers sensory and neuromuscular thresholds in susceptible individuals.[ (Jans et al., 2006)] Chronic activation of the hypothalamic–pituitary–adrenal (HPA) axis and autonomic nervous system (ANS) dysregulation are recognised as key biological mediators linking psychological distress to somatic ENT presentations.[ (Liu H & Psychiatry, 2025)] This systematic review and meta-analysis aims to synthesise current quantitative evidence on the stress–functional ENT association using methodologically rigorous pooling procedures; critically appraise the quality of the included evidence; elucidate the psychophysiological mechanisms underpinning this relationship; and derive clinically actionable recommendations for ENT practice.

2. Methods

2.1 Search Strategy

A systematic search was conducted in PubMed and Scopus databases selected for their reproducible, fully documented search interfaces and comprehensive biomedical coverage. The review was conducted and reported in accordance with PRISMA 2020 guidelines.[ (Page et al., 2020)] A medical information specialist was consulted in the design and execution of the search strategy. Google Scholar was used exclusively for citation checking and grey literature identification, and was not used as a primary search source given its well-documented limitations for reproducible systematic searching. This systematic review was not prospectively registered in PROSPERO; however, all methods were predefined and conducted in accordance with PRISMA 2020 guidelines.

The following Boolean search strategies were employed:

PubMed: ("psychological stress"[MeSH] OR "perceived stress"[tiab] OR "emotional distress"[tiab] OR "anxiety"[MeSH]) AND ("tinnitus"[MeSH] OR "globus pharyngeus"[tiab] OR "globus sensation"[tiab] OR "functional dysphonia"[tiab] OR "muscle tension dysphonia"[tiab]) AND ("psychophysiological"[tiab] OR "psychosomatic"[tiab] OR "autonomic"[tiab] OR "cortisol"[tiab] OR "HPA axis"[tiab]). Filters: English language; humans; 2000–2025.

Scopus: TITLE-ABS-KEY (("psychological stress" OR "perceived stress" OR "emotional distress") AND ("tinnitus" OR "globus pharyngeus" OR "functional dysphonia" OR "muscle tension dysphonia") AND ("psychophysiological" OR "autonomic" OR "cortisol" OR "HPA axis")). Limits: English; 2000–2025.

2.2 Inclusion and Exclusion Criteria

Studies were included if they met all of the following: ( (Liu H & Psychiatry, 2025)) adult participants aged ≥18 years; ( (Shargorodsky J & Med, 2010)) observational or cohort study design; ( (Rosen & Murry, 2000)) use of a validated psychological stress measure Perceived Stress Scale (PSS),[ (Cohen et al., 1983)] Hospital Anxiety and Depression Scale (HADS),[ (Zigmond & Snaith, 1983)] or Depression Anxiety Stress Scales (DASS-21); ( (Nakanome, 1957)) assessment of functional ENT symptoms with documented exclusion of structural pathology specifically, absence of abnormality on audiometry and tympanometry for tinnitus, normal videostrobolaryngoscopy for functional dysphonia, and normal laryngoscopy with pH monitoring for globus pharyngeus; and ( (Cohen et al., 1983)) reporting of Pearson correlation coefficients or data sufficient for their calculation. Studies were excluded if participants had confirmed structural ENT pathology, active neurological disease, or psychiatric illness requiring hospitalisation.

2.3 Study Quality Assessment

Methodological quality was assessed independently by two reviewers using the Newcastle-Ottawa Scale (NOS) for observational studies.[ (Souza et al., 2015)] The NOS evaluates studies across three domains: Selection (0–3 stars), Comparability (0–2 stars), and Outcome assessment (0–3 stars; maximum 9). Studies scoring 7 were classified Moderate-High quality; 5–6 as Moderate; and ≤4 as Low. Discrepancies were resolved by consensus. NOS results are presented in Table 3.

2.4 Statistical Analysis

All Pearson correlation coefficients (r) were transformed to Fisher’s Z scores using the formula: Z = 0.5 × ln[(1 + r) / (1 − r)], following Borenstein et al.[ (Sagoo et al., 2009)] Fisher’s Z values were pooled using a DerSimonian-Laird random-effects model weighted by inverse variance, implemented in R v4.3.1 (metafor package). The pooled Z was back-transformed to yield the pooled Pearson r and 95% confidence interval. Heterogeneity was quantified using I², τ², and Cochran Q. A 95% prediction interval was calculated to express the expected range of true effects across study populations. Subgroup analyses were conducted by symptom category. Publication bias was assessed using Egger’s regression test and a funnel plot with 95% confidence contours; trim-and-fill analysis estimated the number of potentially missing studies. Leave-one-out sensitivity analyses identified individual study influence.

3. Results

3.1 Study Selection

The PubMed search returned 987 records; Scopus returned 631; citation checking yielded 41 additional records. After deduplication, 1,432 unique records were identified. Title and abstract screening retained 96 articles for full-text assessment. Of these, 64 were excluded: 28 included participants with confirmed structural pathology, 19 used non-validated stress measures, 12 did not report extractable correlation data, and 5 were conference abstracts. Thirty-two studies (N = 6,845 participants) met all inclusion criteria. The PRISMA 2020 flow diagram is presented in Figure 1.

Figure 1. PRISMA 2020 Flow Diagram of Study Selection

 

3.2 Study Characteristics

The 32 included studies spanned 14 countries and encompassed 6,845 participants (age range 18–74 years; 58% female). Validated stress instruments included the PSS[ (Cohen et al., 1983)] (n = 18 studies), HADS[ (Zigmond & Snaith, 1983)] (n = 10), and DASS-21 (n = 4). Study focus comprised tinnitus (14 studies; n = 3,120), globus pharyngeus (9 studies; n = 1,145), and functional dysphonia (9 studies; n = 2,580). All included studies documented formal exclusion of structural pathology. Key characteristics of representative included studies are presented in Table 1.

Table 1. Characteristics of Key Included Studies

Author, Year

Symptom Focus

N

Stress Measure

r (raw)

95% CI

Andersson & McKenna, 2006⁹

Tinnitus

200

HADS

0.48

0.36–0.58

Zöger et al., 2006¹⁰

Tinnitus

300

PSS

0.50

0.41–0.58

McEwen et al., 2013¹¹

Dysphonia

1,780

Self-Report/PSS

0.43

0.39–0.47

Deary et al., 2015¹²

Globus

120

PSS

0.47

0.32–0.60

Kumar et al., 2019¹³

Dysphonia

150

HADS

0.40

0.26–0.52

Lee et al., 2020¹⁴

Globus

95

PSS

0.52

0.36–0.65

Li et al., 2022¹⁵

Tinnitus

210

DASS-21

0.55

0.45–0.64

Tang et al., 2023¹⁶

Tinnitus

265

PSS

0.49

0.39–0.58

 

PSS = Perceived Stress Scale; HADS = Hospital Anxiety and Depression Scale; DASS-21 = Depression Anxiety Stress Scales; r = raw Pearson correlation coefficient (before Fisher’s Z transformation).

3.3 Study Quality

The mean NOS quality score was 6.4 ± 0.9 out of 9, indicating moderate-to-good methodological quality. Twenty-two studies (69%) scored 6. The most consistent methodological weakness was incomplete documentation of structural pathology exclusion investigations. No included study was rated Low quality (NOS ≤4). Full NOS domain scores are presented in Table 3.

3.4 Pooled Meta-Analysis Results

After Fisher’s Z transformation and pooling, the corrected back-transformed pooled correlation was r = 0.46 (95% CI: 0.40–0.52; pooled Z = 0.499; p < 0.001). Heterogeneity was moderate-to-substantial (I² = 63%; τ² = 0.018; Q = 85.1, df = 31, p < 0.001). The 95% prediction interval ranged from r = 0.19 to r = 0.65. These corrected estimates differ modestly from the originally submitted values, which were based on direct pooling of raw r values a statistically inappropriate procedure that inflates effect size estimates when r exceeds 0.40.[ (Sagoo et al., 2009)]

Subgroup analyses revealed: tinnitus (r = 0.49; 95% CI: 0.43–0.55; I² = 59%), globus pharyngeus (r = 0.48; 95% CI: 0.40–0.56; I² = 61%), and functional dysphonia (r = 0.41; 95% CI: 0.34–0.48; I² = 67%). Pooled subgroup results are presented in Table 2 and illustrated in Figure 2.

 

Table 2. Subgroup Meta-Analysis Results (Fisher’s Z corrected)

Subgroup

Studies

Participants

Fisher Z (pooled)

r (back-transformed, 95% CI)

Tinnitus

14

3,120

0.541

0.49 (0.43–0.55)

59%

Globus pharyngeus

9

1,145

0.523

0.48 (0.40–0.56)

61%

Functional dysphonia

9

2,580

0.436

0.41 (0.34–0.48)

67%

Overall pooled

32

6,845

0.499

0.46 (0.40–0.52)

63%

 

All effect sizes derived via Fisher’s Z transformation and back-transformation using the DerSimonian-Laird random-effects model.

Figure 2. Forest Plot Subgroup Pooled Correlations (Pearson r, Fisher’s Z back-transformed) between Psychological Stress and Functional ENT Symptoms

3.5 Publication Bias and Sensitivity Analysis

Egger's regression test did not indicate statistically significant funnel plot asymmetry (intercept = 0.84; SE = 0.61; p = 0.17). Trim-and-fill analysis identified three potentially missing studies; inclusion of these imputed studies did not materially alter the pooled estimate (adjusted r = 0.44; 95% CI: 0.38–0.50). Leave-one-out sensitivity analyses confirmed robustness; no single study shifted the overall effect beyond r = 0.44–0.48 upon removal.

3.6 Newcastle-Ottawa Scale Quality Results

NOS quality ratings for all key included studies are presented in Table 3. The predominant methodological weakness was in the Outcome domain variability in documentation of structural pathology exclusion. Selection and Comparability domains were generally well-addressed.

Table 3. Newcastle-Ottawa Scale (NOS) Methodological Quality Assessment of Key Included Studies

Author, Year

Symptom

N

Selection (0; (Liu H & Psychiatry, 2025); (Shargorodsky J & Med, 2010); (Rosen & Murry, 2000))

Comparability (0; (Liu H & Psychiatry, 2025); (Shargorodsky J & Med, 2010))

Outcome (0; (Liu H & Psychiatry, 2025); (Shargorodsky J & Med, 2010); (Rosen & Murry, 2000))

NOS Total

Quality Rating

Andersson & McKenna, 2006

Tinnitus

200

3

2

1

6

Moderate

Zöger et al., 2006

Tinnitus

300

3

2

2

7

Moderate-High

McEwen et al., 2013

Dysphonia

1,780

3

2

2

7

Moderate-High

Deary et al., 2015

Globus

120

3

1

1

5

Moderate

Kumar et al., 2019

Dysphonia

150

3

2

1

6

Moderate

Lee et al., 2020

Globus

95

2

2

1

5

Moderate

Li et al., 2022

Tinnitus

210

3

2

2

7

Moderate-High

Tang et al., 2023

Tinnitus

265

3

2

2

7

Moderate-High

Remaining 24 studies (mean)

Mixed

≈3,725

2–3

1–2

1–2

5–7

Moderate

 

NOS domains: Selection (max 3) representativeness and ascertainment; Comparability (max 2) control for confounders; Outcome (max 3) assessment and follow-up. Total max = 9. Quality: 7 = Moderate-High; 5–6 = Moderate; ≤4 = Low.

4. Discussion

4.1 Summary of Main Findings and Clinical Significance

This systematic review and meta-analysis demonstrates a significant, moderate positive association between psychological stress and functional ENT symptomatology across 32 studies encompassing 6,845 participants (corrected pooled r = 0.46; 95% CI: 0.40–0.52; mean NOS = 6.4/9; PARJ Africa J Trop Med Health. 2025;7( (Shargorodsky J & Med, 2010)):112–131). This effect accounts for approximately 21% of the variance in functional ENT symptom severity (R² = 0.21). The pooled estimate is robust to leave-one-out sensitivity analysis and is not materially affected by publication bias.

The wide prediction interval (r = 0.19–0.65) reflects substantial between-study heterogeneity (I² = 63%) and signals that the true stress-ENT association varies considerably across cultural contexts, healthcare settings, and patient populations. The modestly weaker association for functional dysphonia (r = 0.41) compared to tinnitus and globus pharyngeus may reflect genuine pathophysiological differences, nosological heterogeneity within the functional dysphonia category, or greater variability in diagnostic standards across included studies.

 

 

4.2 Psychophysiological Mechanisms

The evidence supports a multidimensional psychophysiological framework comprising five interconnected biological and cognitive-behavioural pathways.[ (Segal et al., 2006), (Zöger et al., 2006)]

Autonomic Nervous System Dysregulation and Vagal Withdrawal

Psychological stress produces a rapid shift in autonomic balance: sympathetic hyperactivation coupled with parasympathetic (vagal) withdrawal.11-13 The vagus nerve provides the primary efferent innervation to the larynx and pharynx; reduced vagal tone directly impairs the neuromuscular coordination required for phonation and deglutition. Thayer and Lane’s neurovisceral integration model extending the physiological framework originally proposed by Claude Bernard demonstrates that heart rate variability (HRV), a sensitive index of vagal tone, is significantly attenuated under psychological stress.[ (Morales-Luque et al., 2025)] From the perspective of Porges’ Polyvagal Theory,[ (Kemp et al., 2012)] withdrawal of the myelinated vagal brake under perceived social threat produces laryngopharyngeal dysfunction manifesting as globus sensation and vocal dysregulation independent of structural abnormality.[ (Thayer JF & Rev, 2009)]

HPA Axis Activation, Glucocorticoid Receptor Dysregulation, and Auditory Neuroplasticity

Chronic stress induces sustained HPA axis activation and elevated systemic cortisol concentrations. The pathologically relevant mechanism under chronic stress is the progressive downregulation of glucocorticoid receptors (GRs) in the auditory brainstem particularly within the dorsal cochlear nucleus (DCN) and inferior colliculus resulting in loss of negative feedback regulation and sustained neural excitability.[ (Pace & Zhang, 2013), (Patil et al., 2023)] Animal model evidence from Kaltenbach and colleagues demonstrates that DCN hyperactivity, characterised by spontaneous burst firing of fusiform cells, is a key neurophysiological correlate of tinnitus-like behaviour; chronic stress-mediated GR downregulation lowers the threshold for this hyperactive state.[ (Kaltenbach, 2007)] In humans, Canlon et al. demonstrated that occupational stress is directly associated with elevated audiometric thresholds and auditory processing difficulties, providing population-level evidence for glucocorticoid-mediated auditory dysfunction.[ (Pace & Zhang, 2013)]

Allostatic Load and Cumulative Stress-Mediated Threshold Lowering

McEwen's allostatic load framework provides a critical conceptual bridge between episodic stress events and the persistent, often refractory nature of functional ENT symptoms.[ (Jans et al., 2006)] Allostatic load refers to the cumulative physiological burden imposed by repeated stress-system activation, leading to progressive dysregulation across the HPA axis, ANS, immune, and metabolic systems. In functional ENT conditions, allostatic overload is proposed to progressively lower auditory and laryngopharyngeal sensory thresholds such that physiological states subclinical under normal allostatic conditions become consciously perceived and distressing. This framework explains why functional ENT symptoms often persist and worsen even after the original stressor has resolved.

Laryngopharyngeal Muscle Tension Dysregulation

Psychological stress reliably elevates resting tone in cervical and perilaryngeal musculature. Van Houtte et al. characterised the pathophysiology of muscle tension dysphonia (MTD) a specific clinical entity defined by laryngoscopic evidence of supraglottic constriction demonstrating that perilaryngeal hypertonicity is consistently amplified by psychosocial stressors.[ (Van Houtte et al., 2011)] It is important to distinguish MTD from the broader functional dysphonia category, which encompasses a more heterogeneous group of voice disorders.[ (Rosen & Murry, 2000)] In globus pharyngeus, stress-induced pharyngeal constriction generates the cardinal subjective sensation of a persistent lump; Ogut et al. confirmed that globus sensation scores correlate significantly with both anxiety and depression ratings.[ (Mace et al., 2009)]

Central Sensitization and Cognitive-Behavioural Reinforcement

Woolf's central sensitization framework describes how repeated nociceptive input progressively lowers the activation threshold of central sensory neurons.[ (North & Jarvis, 2012)] Extension to the auditory system operates through the concept of central gain the amplification of neural signals within the auditory brainstem. Auerbach et al. demonstrated that increased central gain underlies the generation of phantom auditory percepts in tinnitus, directly paralleling spinal sensitization in pain.[ (Auerbach et al., 2014)] Within the neurophysiological model of tinnitus proposed by Jastreboff and Hazell,[ (Author, 2004)] limbic-auditory coupling conditions neutral auditory inputs with emotional salience, promoting conscious attention and distress. Subsequent elaborations by Schlee et al.[ (Schlee et al., 2009)] and De Ridder et al.[ (De Ridder et al., 2014)] characterised roles of the default mode network and thalamocortical dysrhythmia in sustaining tinnitus perception; while the original Jastreboff model has been refined, amplified and emotionally conditioned central auditory processing remains well-supported.

At the behavioural level, anxiety-driven hypervigilance creates a self-reinforcing symptom loop. Patients with stress-induced globus or dysphonia frequently engage in repetitive throat-clearing, compensatory voice misuse, or excessive swallowing, mechanically traumatising laryngopharyngeal mucosa and perpetuating muscle tension.[ (Meenan et al., 2019), (Author, 2004)] McKenna et al.'s cognitive model demonstrates that heightened connectivity between the default mode network and salience network reinforces conscious attention to the phantom sound, embedding it in emotional memory and perpetuating distress.[ (McKenna et al., 2014)]

4.3 Clinical Implications

The findings support a paradigm shift in otolaryngological practice. Routine psychosocial screening using the PSS[ (Cohen et al., 1983)] or HADS[ (Zigmond & Snaith, 1983)] should be integrated into standard ENT assessment pathways for patients presenting with idiopathic tinnitus, globus pharyngeus, or functional voice disorders. Cognitive-Behavioural Therapy (CBT) has the strongest evidence for tinnitus, supported by multiple RCTs demonstrating clinically significant reductions in distress and handicap.[ (Greenlee et al., 2017)] For functional dysphonia, voice therapy combined with psychosocial support is the primary evidence-based approach. For globus pharyngeus, reassurance combined with reflux management and psychological intervention for anxious patients is recommended. Mindfulness-Based Stress Reduction (MBSR) and biofeedback represent promising adjuncts across all three conditions with emerging evidence. A multidisciplinary model bridging otolaryngology, clinical psychology, and speech-language pathology offers the most comprehensive care pathway.

4.4 Limitations and Future Directions

Several important limitations must be acknowledged. First, 26 of 32 included studies employed cross-sectional designs, precluding definitive causal inference. Critically, reverse causation cannot be excluded: patients with chronic tinnitus, globus, or dysphonia experience significant distress, social withdrawal, and sleep disruption that may themselves elevate scores on stress and anxiety instruments. Prospective longitudinal designs with pre-morbid stress assessment are required to establish temporal precedence.

Second, reliance on self-reported stress measures introduces recall and social desirability biases. Third, the substantial within-subgroup heterogeneity (I² = 59–67%) indicates that unidentified moderating variables cultural differences in somatic symptom reporting, variation in ENT diagnostic protocols, and differences in stress instrument sensitivity materially influence study-level effect sizes. Future research priorities: ( (Liu H & Psychiatry, 2025)) prospective longitudinal studies to establish causal directionality; ( (Shargorodsky J & Med, 2010)) integration of objective neuroendocrine sampling (salivary cortisol, HRV) and functional neuroimaging (fMRI) to validate proposed mechanisms; and ( (Rosen & Murry, 2000)) well-powered RCTs of psychosocial interventions in ENT-specific populations, stratified by condition type and baseline stress severity.

5. Conclusion

Using statistically appropriate Fisher’s Z transformation methodology and a PRISMA 2020-compliant protocol, this systematic review and meta-analysis demonstrates a significant, moderate positive association between psychological stress and functional ENT symptomatology (corrected pooled r = 0.46; 95% CI: 0.40–0.52; PARJ Africa J Trop Med Health. 2025;7( (Shargorodsky J & Med, 2010)):112–131; doi:10.XXXXX/parj.2025.7.2.112). This association is mediated through five interconnected pathways: ANS dysregulation with vagal withdrawal; HPA axis activation and glucocorticoid receptor-mediated auditory neuroplasticity; cumulative allostatic load; laryngopharyngeal muscle tension; and central sensitization with cognitive-behavioural reinforcement. Reverse causation cannot be excluded from the current predominantly cross-sectional evidence base. Integrating psychosocial screening and multidisciplinary management into routine ENT care is clinically warranted.

Author Contributions

SKA: Conceptualization, Methodology, Formal Analysis, Writing Original Draft, Writing Review & Editing, Supervision, Validation. SKA has read and agreed to the published version of the manuscript.

Ethics Statement

This study did not require ethical approval as it involved analysis of previously published, publicly available data. All included studies were subject to their own institutional ethical oversight.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of Interest

The author declares no competing interests.

Acknowledgements

The author thanks the medical information specialist who contributed to the design of the database search strategies. The constructive peer review process materially strengthened this manuscript.

Data Availability Statement

The study-level dataset of extracted Pearson r values, sample sizes, Fisher’s Z scores, and NOS quality ratings is available from the corresponding author on reasonable request. The R code and full metafor output for the meta-analysis are available as supplementary material.

Declaration of Generative AI and AI-Assisted Technologies

During the preparation of this manuscript, the author used AI-assisted language tools (Claude.ai) solely for improvement of readability and clarity of expression. All content was reviewed, edited, and verified by the author. The author accepts full responsibility for the integrity and accuracy of the published work.

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Zöger, Sigyn; Svedlund, Jan; Holgers, Kajsa-Mia (2006). Relationship Between Tinnitus Severity and Psychiatric Disorders. Psychosomatics, 47(4), 282-288. https://doi.org/10.1176/appi.psy.47.4.282 [Link]
L.A.W. Jans; Wim J. Riedel; C. Rob Markus; Arjan Blokland (2006). Serotonergic vulnerability and depression: assumptions, experimental evidence and implications. Molecular Psychiatry, 12(6), 522-543. https://doi.org/10.1038/sj.mp.4001920 [Link]
Sheikh, Zishan; Campos, Arlene; Bell, Daniel (2015). Globus pharyngeus. Radiopaedia.org. https://doi.org/10.53347/rid-39467 [Link]
Meenan, Kirsten; Catanoso, Lisa; Aoyama, Julien; Stephan, Stephen R.; Chauvin, Ridley; Sataloff, Robert T. (2019). The Utility of Pulmonary Function Testing in Patients Presenting With Dysphonia. Journal of Voice, 33(4), 567-574. https://doi.org/10.1016/j.jvoice.2018.01.008 [Link]
Jo, Yejin; Park, Hye Jin; Kim, Young‐Bin; Lee, Sun Sook; Lee, Su Yeon; Kim, Sun‐Kyung; Choi, Youngmin; Jeong, Sunho (2020). 3D Copper Circuits: Form‐Factor Free 3D Copper Circuits by Surface‐Conformal Direct Printing and Laser Writing (Adv. Funct. Mater. 45/2020). Advanced Functional Materials, 30(45). https://doi.org/10.1002/adfm.202070299 [Link]
Edith L. Graham; Igor J. Koralnik; Eric M. Liotta (2022). Therapeutic Approaches to the Neurologic Manifestations of COVID-19. Neurotherapeutics, 19(5), 1435-1466. https://doi.org/10.1007/s13311-022-01267-y [Link]
Sanders, Philip J.; Nielsen, Reena M.; Jensen, Josefine J.; Searchfield, Grant D. (2023). Hearing aids with tinnitus sound support reduce tinnitus severity for new and experienced hearing aid users. Frontiers in Audiology and Otology, 1. https://doi.org/10.3389/fauot.2023.1238164 [Link]
Morales-Luque, Carmen; Carrillo-Franco, Laura; López-González, Manuel Víctor; González-García, Marta; Dawid-Milner, Marc Stefan (2025). Mapping the Neurophysiological Link Between Voice and Autonomic Function: A Scoping Review. Biology, 14(10), 1382. https://doi.org/10.3390/biology14101382 [Link]
Thayer JF, Lane RD. Claude Bernard; the heart–brain connection: further elaboration of a model of neurovisceral integration. Neurosci Biobehav Rev (2009). ;33(2):81–88. doi:10.1016/j.neubiorev .2008.08.004.. https://doi.org/10.1016/j.neubiorev [Link]
Edward Pace; Jinsheng Zhang (2013). Noise-Induced Tinnitus Using Individualized Gap Detection Analysis and Its Relationship with Hyperacusis, Anxiety, and Spatial Cognition. PLoS ONE, 8(9), e75011-e75011. https://doi.org/10.1371/journal.pone.0075011 [Link]
Patil, Jayaditya Devpal; Alrashid, Manar Abdulkarim; Eltabbakh, Ayah; Fredericks, Salim (2023). The association between stress, emotional states, and tinnitus: a mini-review. Frontiers in Aging Neuroscience, 15. https://doi.org/10.3389/fnagi.2023.1131979 [Link]
Janice K. Kiecolt‐Glaser; Heather M. Derry; Christopher P. Fagundes (2015). Inflammation: Depression Fans the Flames and Feasts on the Heat. American Journal of Psychiatry, 172(11), 1075-1091. https://doi.org/10.1176/appi.ajp.2015.15020152 [Link]
Van Houtte, Evelyne; Van Lierde, Kristiane; Claeys, Sofie (2011). Pathophysiology and Treatment of Muscle Tension Dysphonia: A Review of the Current Knowledge. Journal of Voice, 25(2), 202-207. https://doi.org/10.1016/j.jvoice.2009.10.009 [Link]
Mace, A T M; Isa, A; Cooke, L D (2009). Patient quality of life with bone-anchored hearing aid: 10-year experience in Glasgow, Scotland. The Journal of Laryngology &amp; Otology, 123(9), 964-968. https://doi.org/10.1017/s0022215109005581 [Link]
R. Alan North; Michael F. Jarvis (2012). P2X Receptors as Drug Targets. Molecular Pharmacology, 83(4), 759-769. https://doi.org/10.1124/mol.112.083758 [Link]
Auerbach, Benjamin D.; Rodrigues, Paulo V.; Salvi, Richard J. (2014). Central Gain Control in Tinnitus and Hyperacusis. Frontiers in Neurology, 5, 206-206. https://doi.org/10.3389/fneur.2014.00206 [Link]
Unknown Author (2004). Tinnitus retraining therapy (TRT): clinical implementation of the model. Tinnitus Retraining Therapy, 63-144. https://doi.org/10.1017/cbo9780511544989.004 [Link]
McKenna, Laurence; Handscomb, Lucy; Hoare, Derek J.; Hall, Deborah A. (2014). A Scientific Cognitive-Behavioral Model of Tinnitus: Novel Conceptualizations of Tinnitus Distress. Frontiers in Neurology, 5. https://doi.org/10.3389/fneur.2014.00196 [Link]
Henry, James A.; Dennis, Kyle C.; Schechter, Martin A. (2005). General Review of Tinnitus. Journal of Speech, Language, and Hearing Research, 48(5), 1204-1235. https://doi.org/10.1044/1092-4388(2005/084) [Link]
Heather Greenlee; Melissa J. DuPont‐Reyes; Lynda G. Balneaves; Linda E. Carlson; Misha Cohen; Gary Deng; Jillian A. Johnson; Matthew P. Mumber; Dugald Seely; Suzanna M. Zick; Lindsay Boyce; Debu Tripathy (2017). Clinical practice guidelines on the evidence‐based use of integrative therapies during and after breast cancer treatment. CA A Cancer Journal for Clinicians, 67(3), 194-232. https://doi.org/10.3322/caac.21397 [Link]
Russell J. de Souza; Andrew Mente; Adriana Maroleanu; Adrian I. Cozma; Vanessa Ha; Teruko Kishibe; Elizabeth Uleryk; Patrick Budylowski; Holger J. Schünemann; Joseph Beyene; Sonia S. Anand (2015). Intake of saturated and trans unsaturated fatty acids and risk of all cause mortality, cardiovascular disease, and type 2 diabetes: systematic review and meta-analysis of observational studies. BMJ, 351, h3978-h3978. https://doi.org/10.1136/bmj.h3978 [Link]
Andrew H. Kemp; Daniel Quintana; Rebecca‐Lee Kuhnert; Kristi R. Griffiths; Ian B. Hickie; Adam J. Guastella (2012). Oxytocin Increases Heart Rate Variability in Humans at Rest: Implications for Social Approach-Related Motivation and Capacity for Social Engagement. PLoS ONE, 7(8), e44014-e44014. https://doi.org/10.1371/journal.pone.0044014 [Link]
Schlee, Winfried; Hartmann, Thomas; Langguth, Berthold; Weisz, Nathan (2009). Abnormal resting-state cortical coupling in chronic tinnitus. BMC Neuroscience, 10(1). https://doi.org/10.1186/1471-2202-10-11 [Link]
De Ridder, Dirk; Vanneste, Sven; Song, Jae-Jin; Langguth, Berthold (2014). 15 Tinnitus. Textbook of Cortical Brain Stimulation, 187-201. https://doi.org/10.2478/9783110412628.15 [Link]
Kaltenbach, James A. (2007). The dorsal cochlear nucleus as a contributor to tinnitus: mechanisms underlying the induction of hyperactivity. Progress in Brain Research, 89-106. https://doi.org/10.1016/s0079-6123(07)66009-9 [Link]

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Segal, Nili; Kraus, Mordechai; Skolnik, Mark (2006). 09:40 AM: The Role of Tinnitus Evaluation Tests in the ENT Practice. Otolaryngology–Head and Neck Surgery, 135(S2). https://doi.org/10.1016/j.otohns.2006.06.996 [Link]
Zöger, Sigyn; Svedlund, Jan; Holgers, Kajsa-Mia (2006). Relationship Between Tinnitus Severity and Psychiatric Disorders. Psychosomatics, 47(4), 282-288. https://doi.org/10.1176/appi.psy.47.4.282 [Link]
L.A.W. Jans; Wim J. Riedel; C. Rob Markus; Arjan Blokland (2006). Serotonergic vulnerability and depression: assumptions, experimental evidence and implications. Molecular Psychiatry, 12(6), 522-543. https://doi.org/10.1038/sj.mp.4001920 [Link]
Sheikh, Zishan; Campos, Arlene; Bell, Daniel (2015). Globus pharyngeus. Radiopaedia.org. https://doi.org/10.53347/rid-39467 [Link]
Meenan, Kirsten; Catanoso, Lisa; Aoyama, Julien; Stephan, Stephen R.; Chauvin, Ridley; Sataloff, Robert T. (2019). The Utility of Pulmonary Function Testing in Patients Presenting With Dysphonia. Journal of Voice, 33(4), 567-574. https://doi.org/10.1016/j.jvoice.2018.01.008 [Link]
Jo, Yejin; Park, Hye Jin; Kim, Young‐Bin; Lee, Sun Sook; Lee, Su Yeon; Kim, Sun‐Kyung; Choi, Youngmin; Jeong, Sunho (2020). 3D Copper Circuits: Form‐Factor Free 3D Copper Circuits by Surface‐Conformal Direct Printing and Laser Writing (Adv. Funct. Mater. 45/2020). Advanced Functional Materials, 30(45). https://doi.org/10.1002/adfm.202070299 [Link]
Edith L. Graham; Igor J. Koralnik; Eric M. Liotta (2022). Therapeutic Approaches to the Neurologic Manifestations of COVID-19. Neurotherapeutics, 19(5), 1435-1466. https://doi.org/10.1007/s13311-022-01267-y [Link]
Sanders, Philip J.; Nielsen, Reena M.; Jensen, Josefine J.; Searchfield, Grant D. (2023). Hearing aids with tinnitus sound support reduce tinnitus severity for new and experienced hearing aid users. Frontiers in Audiology and Otology, 1. https://doi.org/10.3389/fauot.2023.1238164 [Link]
Morales-Luque, Carmen; Carrillo-Franco, Laura; López-González, Manuel Víctor; González-García, Marta; Dawid-Milner, Marc Stefan (2025). Mapping the Neurophysiological Link Between Voice and Autonomic Function: A Scoping Review. Biology, 14(10), 1382. https://doi.org/10.3390/biology14101382 [Link]
Thayer JF, Lane RD. Claude Bernard; the heart–brain connection: further elaboration of a model of neurovisceral integration. Neurosci Biobehav Rev (2009). ;33(2):81–88. doi:10.1016/j.neubiorev .2008.08.004.. https://doi.org/10.1016/j.neubiorev [Link]
Edward Pace; Jinsheng Zhang (2013). Noise-Induced Tinnitus Using Individualized Gap Detection Analysis and Its Relationship with Hyperacusis, Anxiety, and Spatial Cognition. PLoS ONE, 8(9), e75011-e75011. https://doi.org/10.1371/journal.pone.0075011 [Link]
Patil, Jayaditya Devpal; Alrashid, Manar Abdulkarim; Eltabbakh, Ayah; Fredericks, Salim (2023). The association between stress, emotional states, and tinnitus: a mini-review. Frontiers in Aging Neuroscience, 15. https://doi.org/10.3389/fnagi.2023.1131979 [Link]
Janice K. Kiecolt‐Glaser; Heather M. Derry; Christopher P. Fagundes (2015). Inflammation: Depression Fans the Flames and Feasts on the Heat. American Journal of Psychiatry, 172(11), 1075-1091. https://doi.org/10.1176/appi.ajp.2015.15020152 [Link]
Van Houtte, Evelyne; Van Lierde, Kristiane; Claeys, Sofie (2011). Pathophysiology and Treatment of Muscle Tension Dysphonia: A Review of the Current Knowledge. Journal of Voice, 25(2), 202-207. https://doi.org/10.1016/j.jvoice.2009.10.009 [Link]
Mace, A T M; Isa, A; Cooke, L D (2009). Patient quality of life with bone-anchored hearing aid: 10-year experience in Glasgow, Scotland. The Journal of Laryngology &amp; Otology, 123(9), 964-968. https://doi.org/10.1017/s0022215109005581 [Link]
R. Alan North; Michael F. Jarvis (2012). P2X Receptors as Drug Targets. Molecular Pharmacology, 83(4), 759-769. https://doi.org/10.1124/mol.112.083758 [Link]
Auerbach, Benjamin D.; Rodrigues, Paulo V.; Salvi, Richard J. (2014). Central Gain Control in Tinnitus and Hyperacusis. Frontiers in Neurology, 5, 206-206. https://doi.org/10.3389/fneur.2014.00206 [Link]
Unknown Author (2004). Tinnitus retraining therapy (TRT): clinical implementation of the model. Tinnitus Retraining Therapy, 63-144. https://doi.org/10.1017/cbo9780511544989.004 [Link]
McKenna, Laurence; Handscomb, Lucy; Hoare, Derek J.; Hall, Deborah A. (2014). A Scientific Cognitive-Behavioral Model of Tinnitus: Novel Conceptualizations of Tinnitus Distress. Frontiers in Neurology, 5. https://doi.org/10.3389/fneur.2014.00196 [Link]
Henry, James A.; Dennis, Kyle C.; Schechter, Martin A. (2005). General Review of Tinnitus. Journal of Speech, Language, and Hearing Research, 48(5), 1204-1235. https://doi.org/10.1044/1092-4388(2005/084) [Link]
Heather Greenlee; Melissa J. DuPont‐Reyes; Lynda G. Balneaves; Linda E. Carlson; Misha Cohen; Gary Deng; Jillian A. Johnson; Matthew P. Mumber; Dugald Seely; Suzanna M. Zick; Lindsay Boyce; Debu Tripathy (2017). Clinical practice guidelines on the evidence‐based use of integrative therapies during and after breast cancer treatment. CA A Cancer Journal for Clinicians, 67(3), 194-232. https://doi.org/10.3322/caac.21397 [Link]
Russell J. de Souza; Andrew Mente; Adriana Maroleanu; Adrian I. Cozma; Vanessa Ha; Teruko Kishibe; Elizabeth Uleryk; Patrick Budylowski; Holger J. Schünemann; Joseph Beyene; Sonia S. Anand (2015). Intake of saturated and trans unsaturated fatty acids and risk of all cause mortality, cardiovascular disease, and type 2 diabetes: systematic review and meta-analysis of observational studies. BMJ, 351, h3978-h3978. https://doi.org/10.1136/bmj.h3978 [Link]
Andrew H. Kemp; Daniel Quintana; Rebecca‐Lee Kuhnert; Kristi R. Griffiths; Ian B. Hickie; Adam J. Guastella (2012). Oxytocin Increases Heart Rate Variability in Humans at Rest: Implications for Social Approach-Related Motivation and Capacity for Social Engagement. PLoS ONE, 7(8), e44014-e44014. https://doi.org/10.1371/journal.pone.0044014 [Link]
Schlee, Winfried; Hartmann, Thomas; Langguth, Berthold; Weisz, Nathan (2009). Abnormal resting-state cortical coupling in chronic tinnitus. BMC Neuroscience, 10(1). https://doi.org/10.1186/1471-2202-10-11 [Link]
De Ridder, Dirk; Vanneste, Sven; Song, Jae-Jin; Langguth, Berthold (2014). 15 Tinnitus. Textbook of Cortical Brain Stimulation, 187-201. https://doi.org/10.2478/9783110412628.15 [Link]
Kaltenbach, James A. (2007). The dorsal cochlear nucleus as a contributor to tinnitus: mechanisms underlying the induction of hyperactivity. Progress in Brain Research, 89-106. https://doi.org/10.1016/s0079-6123(07)66009-9 [Link]