Figures
Abstract
Background
The overlap between non-erosive reflux disease (NERD) and epigastric pain syndrome (EPS, a subtype of functional dyspepsia) is common, yet its associated factors remain poorly defined. We aimed to identify factors associated with symptom severity in NERD-EPS overlap, focusing on psychosocial and somatic factors.
Methods
In this multicenter cross-sectional study, 800 patients meeting Rome IV criteria for NERD-EPS overlap were enrolled. Standardized questionnaires assessed gastrointestinal symptoms (GSRS), somatic symptoms (PHQ-15), anxiety/depression (PHQ-4), and sleep quality (SRSS). Multivariable regression models identified factors independently associated with GSRS scores, adjusted for demographics and clinical covariates. Interaction terms were tested to assess whether the association between one factor and GSRS scores varied across different levels of another factor.
Results
Of the 800 patients, 67% were female, and the mean age was (44.50 ± 14.43) years. 67% had mild or more sleep problems, and 47% had anxiety or depression. Somatic symptoms (PHQ-15) showed the strongest association with GSRS scores (β = 0.617, P < 0.001), followed by poor sleep quality (SRSS; β = 0.115, P < 0.001) and anxiety/depression (PHQ-4; β = 0.069, P = 0.026). Urban residence (β = 0.071) and mixed labor type (β = −0.066) were also independently associated with symptom burden.
Conclusion
Somatic symptoms, psychological distress, and sleep disturbances were the factors most strongly associated with symptom severity in NERD-EPS overlap, with additional contributions from younger age, male sex, and urban residence. Our findings advocate for integrated biopsychosocial interventions to alleviate symptom burden in this population.
Citation: Lv M, Che H, Hu J, Yu W, Liu Z, Zhou X, et al. (2025) Biopsychosocial factors associated with symptom severity in the overlap of non-erosive reflux disease and epigastric pain syndrome: A multicenter cross-sectional study. PLoS One 20(12): e0338971. https://doi.org/10.1371/journal.pone.0338971
Editor: Mohamed Hassany, National Hepatology and Tropical Medicine Research Institute, EGYPT
Received: July 14, 2025; Accepted: November 28, 2025; Published: December 15, 2025
Copyright: © 2025 Lv et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: This study was jointly supported by: the National Key Specialty of Traditional Chinese Medicine (Spleen and Stomach Diseases, 0500004), the Innovation Project of China Academy of Chinese Medical Sciences (CI2021A01001), and the Youth Science Foundation Project of the National Natural Science Foundation of China (82205104, 82104850). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have no competing interests to declare that are relevant to the content of this article.
Introduction
Non-erosive reflux disease (NERD) is an upper gastrointestinal disorder characterized by reflux of gastroduodenal contents into the esophagus causing symptoms of reflux/acid reflux and heartburn, but no endoscopic damage to the esophageal mucosa, is the most common subtype of Gastroesophageal Reflux Disease (GERD), with a percentage of GERD that can be as high as 79.4% [1,2]. Epigastric pain syndrome (EPS) is diagnosed by a disease duration of more than 6 months, with symptoms of epigastric pain or burning sensation in the epigastrium evident in the last 3 months, and no organic changes in the gastric mucosa, such as erosions or ulcers, are seen endoscopically, is a subtype of Functional Dyspepsia (FD), which is commonly seen in FD in more than 40% of cases [2–4]. In the outpatient system, patients diagnosed with NERD frequently have coexisting EPS symptoms, and patients presenting to the clinic with a predominant complaint of EPS symptoms may also qualify for a diagnosis of NERD. In a study by Noh YW et al, EPS symptoms were also found to be more common than PDS symptoms in patients with NERD (68.9% vs. 48.6%), in addition to epigastric pain which was considered the most uncomfortable FD symptom by about 30% of patients with NERD [5,6].
Current evidence indicates that GERD/NERD frequently coexists with FD in clinical practice. While multiple studies have demonstrated that this overlap syndrome exacerbates patients’ gastrointestinal symptoms, psychological distress, and sleep quality, the specific clinical characteristics of NERD-EPS overlap remain poorly characterized [7–9]. Furthermore, the correlates of gastrointestinal symptom severity in NERD-EPS overlap remain to be elucidated.
While the aforementioned studies from Asian cohorts have provided valuable insights into the overlap of GERD and FD, the specific NERD-EPS phenotype remains less explored on a global scale. Epidemiological data from the Rome Foundation Global Study confirm the high prevalence and global burden of GERD-FD overlap, yet detailed characterization of the NERD-EPS subtype, particularly its biopsychosocial determinants, is scarce [4]. For instance, a study in a European population has reported significant overlap between GERD and FD, highlighting shared pathophysiological pathways such as visceral hypersensitivity [9]. However, whether the clinical profile and key associated factors identified in Asian cohorts, such as the prominent role of somatic symptoms, are consistent across different ethnic and cultural backgrounds remains unclear. This study, therefore, aims not only to characterize the NERD-EPS overlap within a Chinese population but also to contribute data that is crucial for future cross-cultural comparisons and the development of universally applicable management strategies.
Specifically, our study aimed to elucidate the characteristics of clinical symptom distribution in patients with NERD-EPS overlap through a multicenter cross-sectional study and to assess their clinical profiles using the Patient Health Questionnaire-4 (PHQ-4) and the Patient Health Questionnaire-15 (PHQ-15) [10–13]. The Gastrointestinal Symptom Rating Scale (GSRS) and Self-Rating Scale of Sleep (SRSS) were further employed to assess the factors affecting GSRS scores in these patients [14–17].
Methods
Study design
This multicenter study was conducted from March 5, 2022, to October 27, 2024, which involved gastroenterology departments at four tertiary Traditional Chinese Medicine hospitals across four Chinese provinces. These sites were strategically selected to provide balanced geographical representation of both northern and southern China. All participants were fully informed of the study procedures and provided written informed consent prior to enrollment. The study protocol was approved by the Institutional Review Boards of all participating hospitals (Approval Nos: 2022XLA041−1, 2022-039-01, HZYLLKY202200701, 2022-KY-HX-12–01). This research involved neither minors nor the use of medical records/archived samples. All collected data were anonymized to protect participant confidentiality.
Study population
Eight hundred patients aged 18–75 years who met the diagnosis of NERD with EPS and obtained informed consent were enrolled. The presence of gastrointestinal alarm symptoms included in the Rome IV Diagnostic Scale for functional gastrointestinal diseases (FGIDs) (e.g., black stools, abdominal masses, and a family history of gastrointestinal tumors); the presence of severe other systemic and infectious diseases; and the inability to cooperate with the questionnaire were excluded [3]. All enrolled patients underwent endoscopy to rule out erosive disease and ulcers. Helicobacter pylori status was assessed, and current medication use (including acid-suppressants and antidepressants) was documented for descriptive purposes.
Definitions
The diagnosis of NERD was established according to the 2020 Chinese Expert Consensus on Gastroesophageal Reflux Disease, which requires: [18] (a) presence of typical heartburn and reflux symptoms, plus either (b) a positive proton pump inhibitor (PPI) test, (c) endoscopic confirmation of normal esophageal mucosa with exclusion of reflux esophagitis (RE), Barrett’s esophagus (BE) and other upper gastrointestinal pathologies, or (d) abnormal findings on 24-hour esophageal pH-impedance monitoring.
EPS was diagnosed based on Rome IV criteria for FGIDs, now also classified under the modern nomenclature of disorders of gut–brain interaction (DGBI), requiring: (a) epigastric pain or (b) burning sensation severe enough to impair daily activities, occurring ≥ 1 day per week. Patients had to fulfill at least one criterion with symptom persistence for ≥6 months, including active symptoms meeting diagnostic thresholds during the preceding 3 months [3].
Questionnaire design
In addition to collecting demographic and clinical characteristics (including gender, age, body mass index (BMI), disease duration of NERD/EPS, occupation type, educational attainment, marital status, residential area, smoking/alcohol consumption history, history of inflammatory bowel disease, and history of abdominal surgery), standardized instruments were administered: PHQ-4 for anxiety/depression screening, PHQ-15 for somatic symptom burden, SRSS for sleep quality assessment, GSRS for gastrointestinal symptom severity. Healthcare utilization was quantified through clinic visit frequency during the preceding 3-month period. Occupational categories were defined as follows: Manual labor: Jobs primarily involving physical effort (e.g., construction, farming). Mental labor: Jobs primarily involving cognitive tasks (e.g., office work, management). Mixed labor: Jobs requiring a comparable combination of physical and cognitive duties (e.g., healthcare workers, technicians, retail supervisors).
Anxiety and depression
The PHQ-4 is a validated ultra-brief screening instrument comprising two subscales: PHQ-2 for core depressive symptoms and GAD-2 for generalized anxiety symptoms. PHQ-2 (depression) and GAD-2 (generalized anxiety) [10,11]. Each item is rated on a 4-point Likert scale: 0 = “Not at all”, 1 = “Several days”, 2 = “More than half the days”, 3 = “Nearly every day”. Total scores range from 0 to 12, with elevated scores indicating greater symptom severity. This study analyzed both continuous total scores and categorical classifications (asymptomatic [0–2], mild [3–5], moderate [6–8], severe [9–12]) in accordance with standard clinical cutoffs.
Somatic symptoms
The PHQ-15 is a validated self-report instrument designed to quantify somatic symptom burden through assessment of 15 prevalent physical complaints [12,13]. Symptoms are rated on a standardized 3-point scale: 0 = “No distress”, 1 = “Mild distress”, 2 = “Severe distress”. Total scores range from 0 to 30, with established clinical thresholds: Minimal (0–4), Low (5–9), Medium (10–14), High (≥15). Demonstrating excellent reliability in FGIDs, the PHQ-15 has become the gold standard for psychosomatic evaluation in clinical research. Our analysis incorporated both dimensional (continuous total scores) and categorical (severity-stratified) approaches.
Gastrointestinal symptoms
The GSRS is a validated multidimensional instrument that evaluates 15 symptom items across five clinically relevant domains: (1) abdominal pain, (2) reflux syndrome, (3) diarrhea, (4) constipation, and (5) dyspepsia [14,15]. Symptoms are rated on a 4-point severity scale: 1 = “No discomfort (asymptomatic)”, 2 = Mild discomfort (noticeable but not limiting daily activities), 3 = “Moderate discomfort (interfering with but not preventing daily activities)”, 4 = “Severe discomfort (incapacitating, preventing normal activities)”. Total scores range from 15 to 60, with higher scores indicating greater gastrointestinal symptom severity. The GSRS has demonstrated excellent reliability and validity in FGIDs research. For the current analysis, we utilized the continuous total score to maximize statistical power.
Sleep quality
The SRSS is a validated 10-item instrument assessing four critical sleep domains: [16,17] (1) sleep initiation, (2) sleep maintenance, (3) early morning awakening, and (4) daytime dysfunction. Items are scored on a 5-point Likert scale with standardized anchors: 1 = “Never” (no sleep disturbance), 2 = “Occasionally” (<1 night/week), 3 = “Sometimes” (1–2 nights/week), 4 = “Often” (3–4 nights/week), 5 = “Always” (≥5 nights/week). Total scores range from 10 to 50, with established clinical thresholds: Normal sleep (10–19), Mild disturbance (20–29), Moderate disturbance (30–39), Severe disturbance (40–50). The SRSS was analyzed using both continuous scores and categorical classifications (normal/mild/moderate/severe) to capture comprehensive sleep profiles.
Standardized data collection protocol
To ensure methodological rigor, we implemented a comprehensive quality control protocol beginning with questionnaire validation through pilot testing (n = 30) and cognitive debriefing with 5 gastroenterologists to establish content validity. All research assistants completed a 12-hour certification program including standardized administration procedures, mental status evaluation training by board-certified psychiatrists, and final competency assessments. Under rigorous quality control protocols, trained research staff administered all questionnaires while maintaining standardized assistance limited to: (1) clarifying ambiguous terms, (2) explaining item intent without leading responses, and (3) ensuring complete understanding of response options, with all procedures safeguarding participant confidentiality and autonomous decision-making as per HIPAA guidelines [19].
Statistical analysis
Continuous variables were presented as mean ± standard deviation, while categorical variables were summarized using frequencies and percentages. Nonparametric analyses were employed as follows: (1) Mann-Whitney U or Kruskal-Wallis tests for associations between categorical variables and GSRS scores, with post-hoc pairwise comparisons when P < 0.05; (2) Spearman’s rank correlation for continuous variable associations. Variables showing significant correlations (P < 0.05) were eligible for inclusion in multivariable modeling.
Regression modeling strategies
Given the substantial number of candidate variables (n = 20), we adopted a two-stage analytical approach: [20] (1) Full-model specification: All prespecified variables were entered simultaneously without preliminary screening; (2) Refined modeling: Variables significant in univariate analyses were retained for final models. Categorical variables were dummy-coded (binary: 0/1; multinomial: k-1 variables). Interaction terms (e.g., A × B) were incorporated based on theoretical plausibility and univariate results [21].
Model diagnostics
We evaluated model quality through: Goodness-of-fit: Adjusted R² and Akaike Information Criterion (AIC); Multicollinearity: Variance inflation factors (VIF > 5 indicating severe collinearity); Residual analysis: Q-Q plots and standardized residual plots for heteroscedasticity; Robustness checks: Ridge regression and variable transformations when assumptions were violated [22].
All analyses were performed using IBM SPSS Statistics (version 26.0; IBM Corp., Armonk, NY, USA).
Subgroup and exploratory analyses
To explore potential heterogeneity and identify clinically relevant patient profiles, we conducted post-hoc subgroup analyses. The study population was stratified based on:
Sex (Male vs. Female), somatic symptom severity based on PHQ-15 scores, categorized as Minimal/Low (0–9), Medium/High (≥10) according to established clinical cut-offs [13]. Sleep quality based on SRSS scores, categorized as Normal/Mild (10–29) and Moderate/Severe (30–50) disturbance based on previously validated thresholds [16,17].
We then examined the differences in gastrointestinal symptom severity (GSRS scores) across these subgroups using non-parametric tests (Kruskal-Wallis H or Mann-Whitney U test). Post-hoc pairwise comparisons with Bonferroni correction were performed when overall P < 0.05.
All the above operations were performed in SPSS version 26.0
Results
Participants characteristics
Table 1 presents the clinical and demographic characteristics of the 800 enrolled patients, showing a male-to-female ratio of 3:5 with a mean age of 44.50 ± 14.43 years. The Gastrointestinal Symptom Rating Scale (GSRS) revealed mean domain scores of 5.75 ± 2.79 for reflux, 7.39 ± 3.43 for abdominal pain, 10.37 ± 4.48 for dyspepsia, 5.61 ± 3.31 for constipation, and 6.02 ± 3.67 for diarrhea. Clinically significant comorbidities were prevalent, including mild-to-severe sleep disturbances in 67% (n = 537) of patients, anxiety/depression symptoms in 47% (n = 379), and frequent gastroenterology visits (≥3 in 3 months) in 41% (n = 329) of cases, collectively indicating substantial disease burden in this population.
One-way analysis of variance
Univariate analysis using nonparametric methods (Mann-Whitney U, Kruskal-Wallis H, or Spearman’s ρ as appropriate) identified several variables significantly associated with gastrointestinal symptom severity (GSRS scores). Key clinical factors included disease duration of both NERD (ρ = 0.139, P < 0.001) and EPS (ρ = 0.164, P < 0.001), along with occupational category (H = 31.526, P < 0.001). Behavioral factors showing significant associations were smoking history (U = 39,967.500, P = 0.044) and histories of intestinal inflammation (U = 27,479.500, P < 0.001) or abdominal surgery (U = 22,882.000, P < 0.036). Psychological and sleep-related measures demonstrated particularly strong correlations: PHQ-4 for anxiety/depression (ρ = 0.474, P < 0.001), PHQ-15 somatic symptoms (ρ = 0.722, P < 0.001), and SRSS sleep scores (ρ = 0.513, P < 0.001). Post-hoc analysis of occupational categories revealed that mixed labor types had significantly lower GSRS scores (rank mean = 326.02) versus manual (455.77) or mental labor (409.48; overall P < 0.001). Demographic factors (age, gender, BMI, education, residence, marital status) showed no significant associations (all P > 0.05). See Table 2 for details.
Multivariable linear regression analysis (P < 0.05 for entry)
Variables showing statistical significance in univariate analysis (P < 0.05) were entered into a multiple linear regression model (Table 3). The final model demonstrated strong explanatory power (adjusted R² = 0.534, F = 92.59, P < 0.001) and all variables had VIFs < 2.5. PHQ-15 somatic symptoms (β = 0.606, B = 1.415, P < 0.001) showed the strongest association, followed by SRSS sleep quality (β = 0.093, P = 0.003) and PHQ-4 anxiety/depressive symptoms (β = 0.081, P = 0.009). EPS disease duration showed a positive association (β = 0.086, P = 0.011), whereas mixed labor type exhibited a protective effect (β = −0.070, P = 0.007). Model diagnostics confirmed the absence of multicollinearity (all VIF < 2.1), and standardized residuals (mean = 0, SD = 0.994) approximated a normal distribution.
Fully adjusted multivariable linear regression model
All prespecified variables were included in the forced-entry multiple linear regression model. The final model demonstrated robust explanatory power (adjusted R² = 0.542, F = 56.687, P < 0.001). PHQ-15 score (β = 0.617, B = 1.440, P < 0.001) remained the variable most strongly associated with GSRS scores. Additional variables independently associated with GSRS scores included age (β = −0.076, P = 0.041), female sex (β = −0.070, P = 0.018), and urban residence (β = 0.071, P = 0.007), although these variables were not significant in univariate analysis.
Model diagnostics confirmed the absence of multicollinearity (all variance inflation factors [VIFs] < 2.5). Standardized residuals (mean = 0, SD = 0.989) followed an approximately normal distribution, supporting model validity. Details are shown in Table 4.
It is noteworthy that several demographic variables—namely younger age, female sex, and urban residence—were identified as statistically significant independent factors associated with higher GSRS scores in the fully adjusted model, despite not showing significance in the initial univariate analyses. This phenomenon can be attributed to the effect of statistical adjustment. In univariate analysis, the true effect of these demographic factors may have been masked or confounded by their relationships with other stronger correlates (e.g., somatic symptoms, psychological distress). The multivariable model, by simultaneously accounting for all these covariates, isolates the unique contribution of each variable, thereby revealing their independent associations with symptom severity that were otherwise obscured.
Gastrointestinal symptom severity across clinical subgroups
Stratified analyses revealed significant differences in gastrointestinal symptom burden (GSRS scores) across subgroups defined by somatic symptoms and sleep quality, but not by sex (Table 5). Patients with medium-to-high somatic symptom burden (PHQ-15 ≥ 10) had substantially higher median GSRS scores than those with minimal-low burden (42.0 vs. 28.0, U = 129,021.500, P < 0.001). Similarly, median GSRS scores were higher in patients with moderate-to-severe sleep disturbances (SRSS ≥30) compared to those with normal-mild sleep quality (41.0 vs. 31.0, U = 81,725.500, P < 0.001). In contrast, no statistically significant difference in GSRS scores was observed between male and female patients (median: 33.0 vs. 34.0, U = 76,396.000, P = 0.659).
Clinical interpretation of key associations
To translate these statistical associations into clinically meaningful insights, we estimated the impact of these key factors on the GSRS score. The strong association with the PHQ-15 score (B = 1.440) indicates that for every 10-point increase in somatic symptom burden—a change that, for example, corresponds to a shift from the ‘low’ (5–9) to the ‘medium’ (10–14) severity category—the total GSRS score increases by 14.4 points. This represents a substantial worsening of gastrointestinal symptoms. Similarly, a 10-point increase in the SRSS score (B = 0.200), reflecting a significant deterioration in sleep quality, was associated with a 2.0-point increase in GSRS.
Interaction test
To explore whether the associations between key variables and GSRS scores were modified by other factors, we tested several interaction terms based on theoretical plausibility and univariate results [23–31]. These included, for example, the interaction between disease duration of EPS and PHQ-4 score, as well as between PHQ-4 and SRSS scores. As shown in Table 6, none of the interaction terms reached statistical significance (all P > 0.05), indicating that the associations between these factors and GSRS scores were consistent across different levels of the moderating variables, with no evidence of effect modification. Note: a Interaction terms are from multivariate linear regression models after univariate screening, b Interaction terms are from full-variable multivariate linear regression models.
Discussion
While previous studies have established psychosocial factors in isolated GERD or dyspepsia cohorts [7–9], this pioneering multicenter study is the first to delineate their relative contributions specifically in the NERD-EPS overlap population. Our novel finding reveals a distinct hierarchy of effect sizes: somatic symptom burden (PHQ-15 scores, β = 0.617, P < 0.001) demonstrated a substantially stronger association with gastrointestinal symptom severity (GSRS scores) than sleep disturbances (SRSS scores, β = 0.115, P < 0.001) and anxiety/depression (PHQ-4 scores, β = 0.069, P < 0.05), suggesting a predominant “somatic amplification” mechanism that distinguishes this overlap syndrome from more psychologically-driven profiles in pure GERD or FD [7,9,32,33]. We further identified unique correlates including an inverse association between mixed labor type and symptom severity (β = −0.066, P < 0.05) and adverse associations with urban residence (β = 0.071) [34,35]. The observed association with mixed labor may reflect a more balanced work-life rhythm or lower occupational stress compared to purely manual or mental occupations.
Our subgroup analyses further clarify these associations. The stark contrast in GI symptom burden between patients with medium-to-high versus minimal-low somatic symptom burden (Median GSRS: 42.0 vs. 28.0) underscores a clear dose-response relationship, establishing a PHQ-15 score ≥10 as a practical clinical marker for severe GI distress. Similarly, significant GSRS differences across SRSS categories position sleep disturbance as a key correlate of symptom severity. Interestingly, the lack of a significant sex difference in median GSRS scores, despite its association in the multivariate model, suggests the protective effect of female sex is subtle and likely mediated through complex pathways rather than a direct reduction in raw symptom severity.
The hierarchy of biopsychosocial factors identified in our Chinese cohort—with somatic symptoms demonstrating the strongest association—provides a crucial lens through which to view the NERD-EPS overlap phenotype globally. While the predominance of somatic amplification may be more pronounced in cultural contexts that favor somatization, the central role of the brain-gut axis in this hierarchy is likely a universal mechanism. Our findings align with a growing international consensus that disorders of DGBI, including FD and GERD, are fundamentally driven by central nervous system dysregulation, leading to visceral hypersensitivity and central sensitization [32]. The strong link between PHQ-15 and GSRS scores in our study can be interpreted as a clinical manifestation of this shared neurobiological pathway [36]. Therefore, we propose that the NERD-EPS overlap is not merely a co-occurrence of symptoms but a distinct DGBI subtype characterized by a primary somatosensory amplification mechanism, upon which psychological and social factors layer. This reconceptualization positions our findings not as a regional particularity but as a significant contribution to a global pathophysiological model, suggesting that targeted interventions addressing central sensitization and somatic symptom burden could be effective across diverse populations.
Although somatic symptoms and sleep disturbances are recognized manifestations of psychological distress [37–40]. their relative predominance in our cohort may reflect cultural influences. The Chinese norm of emotional restraint (“keeping anger and joy out of one’s face”) potentially favors expression of psychological distress through somatic complaints rather than direct verbalization, as often seen in Western populations [41,42]. This underscores that in Chinese healthcare settings, addressing somatic symptoms and sleep problems may be central to alleviating both psychological distress and gastrointestinal symptom severity.
An interesting finding specific to the NERD-EPS overlap phenotype concerns the association between sex and symptom severity. The fully adjusted multivariate model identified female sex as an independent factor associated with lower GSRS scores, a relationship not apparent in the univariate analysis. This suggests that the protective association of female sex was confounded in raw comparisons, which could occur if men in our tertiary care cohort delay help-seeking until reaching a higher overall burden. The observed protective effect may have a biological basis in sex-hormone interactions. For instance, testosterone has been reported to exert an inhibitory effect on the transient receptor potential vanilloid 1 channel, a key receptor mediating visceral hypersensitivity, in models of chronic inflammatory pain [43–45]. Thus, in the specific context of NERD-EPS overlap, such sex-specific mechanisms may contribute to the modest protective association seen in women after accounting for key psychosocial confounders. High GSRS scores in younger patients, on the other hand, may be due to more sensitive pain perception than in older adults, more intense stress and emotions, etc., and in a similar situation, patients living in urban areas [46–51].
The strong, dose-dependent associations of somatic symptoms, sleep disturbances, and psychological distress with gastrointestinal symptom severity, as quantitatively demonstrated by our regression models, provide a clear evidence base for clinical management. Consequently, our findings advocate for integrated biopsychosocial assessment and suggest a structured screening and management pathway for NERD-EPS overlap patients. Based on the established hierarchy of effect sizes, we recommend routine administration of the PHQ-15 as a core screening tool for all suspected or confirmed NERD-EPS overlap cases in gastroenterology clinics. For patients identified with significant somatic or psychological burden, existing evidence from related conditions supports the potential utility of integrated approaches that combine acid-suppression therapy with cognitive-behavioral strategies targeting somatic symptoms (CBT-SS) or insomnia (CBT-I), as well as pharmacotherapies that address central sensitization (e.g., serotonin–norepinephrine reuptake inhibitors) [52–54]. Adjunctive approaches such as low-dose melatonin for sleep-gut rhythm regulation and stress management programs also represent rational candidates for future evaluation in this specific population [55–57]. This stepped biopsychosocial management strategy, guided by symptom severity assessment, may help identify patients who would benefit from a more integrated treatment approach beyond conventional pharmacotherapy alone. In current practice, a high PHQ-15 score should prompt clinicians to consider a multidisciplinary referral to integrated psychiatry or health psychology services, where available, to address the underlying central sensitization and somatic symptom burden.
Strengths and limitations
This study used a multicenter cross-sectional design, covering tertiary hospitals in four provinces of China, and included a total of 800 patients with NERD and EPS overlap who met the Rome IV criteria, assessed multidimensional indicators using standardized scales such as the GSRS and the PHQ-15, and controlled for confounding factors through multiple regression analysis, with a geographically representative sample and sufficient statistical validity. However, it should be noted that a formal sample size calculation or power analysis was not performed a priori; the sample size of 800 was determined based on feasibility and the goal of recruiting a substantial multicenter cohort within the study period. The interaction analysis confirmed the independence of the associations, preventing the misattribution of effects that may arise from collinear variables and thereby allowing for a more precise discernment of core contributing factors. However, causality could not be determined in this study, biomarkers were not tested to elucidate the molecular mechanisms of somatic symptoms and visceral hypersensitivity, variables such as occupational classification may have affected the results, the generalizability of the results to the Chinese population needs to be verified in other populations. Although we adjusted for a range of demographic and clinical variables in our multivariable models, residual confounding from unmeasured or imperfectly measured factors (e.g., detailed socioeconomic status beyond education/residence, dietary habits, or complete medication adherence data) cannot be ruled out. Furthermore, the diagnosis of NERD-EPS overlap relied primarily on Rome IV criteria and symptom questionnaires. Objective physiological tests, such as 24-hour pH-impedance monitoring or gastric emptying studies, were not routinely performed in all participants due to the multicenter cross-sectional design and feasibility constraints. While this approach is consistent with many clinical and epidemiological studies of DGBI, it may introduce some heterogeneity in the patient phenotype and potential misclassification [4]. Beyond these considerations, this study focused specifically on the NERD-EPS overlap population to elucidate factors uniquely associated with symptom severity. While the absence of pure NERD or EPS control groups limits direct comparisons, our findings provide foundational data for future cohort studies to explore the temporal relationships and potential causal nature of these associatio. Finally, our sample was recruited exclusively from tertiary Traditional Chinese Medicine hospitals in China. This hospital-based recruitment strategy, within China’s self-referral healthcare system, likely enriched our cohort with patients experiencing more severe symptoms and complex comorbidities. While this facilitated expert diagnosis of FGIDs, it may limit the generalizability of our findings to community populations or primary care settings where symptom profiles are likely milder [58,59]. Moreover, cultural norms favoring somatization—where psychological distress is often expressed through physical symptoms—may further distinguish our cohort from populations in Western or primary care settings. Although these factors may limit the external applicability of prevalence estimates, they enhance the internal validity of the observed associations within this clinically salient group [40,41]. Notwithstanding these cultural considerations, the core biopsychosocial associations we identified, particularly the primacy of somatic symptoms, are likely to inform the understanding and management of NERD-EPS overlap in other healthcare settings, pending future validation.
Conclusion
Symptom burden in NERD-EPS overlap is primarily driven by somatic symptoms, with significant contributions from psychological distress and sleep disturbances. We therefore recommend routine PHQ-15 screening in clinical practice to guide stepped biopsychosocial interventions. Future research should validate biomarkers for personalized treatment.
References
- 1. Hunt R, Armstrong D, Katelaris P. World gastroenterology organisation global guidelines: GERD global perspective on gastroesophageal reflux disease. J Clin Gastroenterol. 2017;51(6):467–78.
- 2. Quach DT, Ha QV, Nguyen CT-N, Le QD, Nguyen DT-N, Vu NT-H, et al. Overlap of gastroesophageal reflux disease and functional dyspepsia and yield of esophagogastroduodenoscopy in patients clinically fulfilling the rome IV criteria for functional dyspepsia. Front Med (Lausanne). 2022;9:910929. pmid:35783630
- 3. Drossman DA, Hasler WL. Rome IV-Functional GI Disorders: Disorders of Gut-Brain Interaction. Gastroenterology. 2016;150(6):1257–61. pmid:27147121
- 4. Sperber AD, Bangdiwala SI, Drossman DA, et al. Worldwide prevalence and burden of functional gastrointestinal disorders, results of rome foundation global study. Gastroenterology. 2021;160(1):99–114.e3.
- 5. Noh YW, Jung H-K, Kim S-E, Jung S-A. Overlap of erosive and non-erosive reflux diseases with functional gastrointestinal disorders according to Rome III criteria. J Neurogastroenterol Motil. 2010;16(2):148–56. pmid:20535345
- 6. Nagami H, Kushiyama Y, Kakuta E. Variety of symptoms reported by patients with upper gastrointestinal diseases. J Gastric Cancer. 2011;8(1):39–43.
- 7. Futagami S, Yamawaki H, Shimpuku M, Izumi N, Wakabayashi T, Kodaka Y, et al. Impact of coexisting irritable bowel syndrome and non-erosive reflux disease on postprandial abdominal fullness and sleep disorders in functional dyspepsia. J Nippon Med Sch. 2013;80(5):362–70. pmid:24189354
- 8. Lee S-W, Chang C-S, Lien H-C, Peng Y-C, Wu C-Y, Yeh H-Z. Impact of overlapping functional gastrointestinal disorders on the presentation and quality of life of patients with erosive esophagitis and nonerosive reflux disease. Med Princ Pract. 2015;24(5):491–5. pmid:26137901
- 9. Geeraerts A, Van Houtte B, Clevers E, Geysen H, Vanuytsel T, Tack J, et al. Gastroesophageal reflux disease-functional dyspepsia overlap: do birds of a feather flock together? Am J Gastroenterol. 2020;115(8):1167–82. pmid:32453043
- 10. Kroenke K, Spitzer RL, Williams JBW, Löwe B. An ultra-brief screening scale for anxiety and depression: the PHQ-4. Psychosomatics. 2009;50(6):613–21. pmid:19996233
- 11. You S, He W-B, Li B-Z, Cai Y-W, Huang Z-G, Zhang H-F, et al. Combined impact of depressive and anxiety symptoms and cardiovascular health metrics on major adverse cardiovascular events: A prospective cohort study. J Affect Disord. 2025;387:119508. pmid:40447155
- 12. Mo T, Wang P, Liu L, Wang Y, Wang R. Career stage variations in mental and somatic health symptoms among nursing professionals in China: a cross-sectional study. BMC Nurs. 2025;24(1):647. pmid:40481545
- 13. Kroenke K, Spitzer RL, Williams JBW. The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms. Psychosom Med. 2002;64(2):258–66. pmid:11914441
- 14. Svedlund J, Sjödin I, Dotevall G. GSRS--a clinical rating scale for gastrointestinal symptoms in patients with irritable bowel syndrome and peptic ulcer disease. Dig Dis Sci. 1988;33(2):129–34. pmid:3123181
- 15. Söderberg Veibäck G, Lindahl J, Suneson K. Add-on probiotics for inflammatory depression - A double-blind randomized placebo-controlled trial. Brain Behav Immun. 2025.
- 16. Wang J, Li D, Bai X, Cui J, Yang L, Mu X, et al. The physical and mental health of the medical staff in Wuhan Huoshenshan Hospital during COVID-19 epidemic: A Structural Equation Modeling approach. Eur J Integr Med. 2021;44:101323. pmid:33723493
- 17. Yang G, Li C, Zhu X, Yan J, Liu J. Prevalence of and risk factors associated with sleep disturbances among HPCD exposed to COVID-19 in China. Sleep Med. 2021;80:16–22. pmid:33540240
- 18. Chinese Society of Gastroenterology, Chinese Medical Association. 2020 Chinese expert consensus on gastroesophageal reflux disease. Chin J Dig. 2020;40(10):649–63.
- 19. Herrick CJ, Keller MR, Trolard AM, Cooper BP, Olsen MA, Colditz GA. Postpartum diabetes screening among low income women with gestational diabetes in Missouri 2010-2015. BMC Public Health. 2019;19(1):148. pmid:30717710
- 20. Zhang C, Jing D, Huang X, Xiao Y, Shu Z, Luo D, et al. Effects of co-exposure to multiple metals on children’s behavior problems in China. Sci Total Environ. 2022;826:154062. pmid:35217036
- 21. Kiefer C, Wilker S, Mayer A. Interactions between latent variables in count regression models. Behav Res Methods. 2024;56(8):8932–54. pmid:39187739
- 22. Wang C, Wang T, Kiryluk K, Wei Y, Aschard H, Ionita-Laza I. Genome-wide discovery for biomarkers using quantile regression at biobank scale. Nat Commun. 2024;15(1):6460. pmid:39085219
- 23. Luo X, Tang M, Wei X, Peng Y. Association between magnesium deficiency score and sleep quality in adults: A population-based cross-sectional study. J Affect Disord. 2024;358:105–12. pmid:38703902
- 24. Lydon A, McGinley J, Cooke T, Duggan PF, Shorten GD. Effect of anxiety on the rate of gastric emptying of liquids. Br J Anaesth. 1998;81(4):522–5. pmid:9924224
- 25. Riemann D. Sleep, insomnia and anxiety-Bidirectional mechanisms and chances for intervention. Sleep Med Rev. 2022;61:101584. pmid:34999482
- 26. Plante DT. The evolving nexus of sleep and depression. Am J Psychiatry. 2021;178(10):896–902. pmid:34592843
- 27. Collins KA, Eng GK, Tural Ü, Irvin MK, Iosifescu DV, Stern ER. Affective and somatic symptom clusters in depression and their relationship to treatment outcomes in the STAR*D sample. J Affect Disord. 2022;300:469–73. pmid:34952119
- 28. Tanaka M, Hirano Y, Takanashi R, Numata N, Sutoh C, Yoshikawa T, et al. Measurement of work-related psychological injury with depressive symptoms. BMC Psychiatry. 2023;23(1):681. pmid:37726721
- 29. Chen C, Meier ST. Burnout and depression in nurses: A systematic review and meta-analysis. Int J Nurs Stud. 2021;124:104099. pmid:34715576
- 30. Kecklund G, Axelsson J. Health consequences of shift work and insufficient sleep. BMJ. 2016;355:i5210. pmid:27803010
- 31. Lotti S, Moretton M, Bulgari M, Costantini L, Dall’Asta M, De Amicis R, et al. Association between shift work and eating behaviours, sleep quality, and mental health among Italian workers. Eur J Nutr. 2025;64(2):97. pmid:39964501
- 32. Zia JK, Lenhart A, Yang P-L, Heitkemper MM, Baker J, Keefer L, et al. Risk factors for abdominal pain-related disorders of gut-brain interaction in adults and children: a systematic review. Gastroenterology. 2022;163(4):995-1023.e3. pmid:35716771
- 33. Narendren A, Boddupalli S, Segal JP. British Society of Gastroenterology guidelines on the management of functional dyspepsia. Frontline Gastroenterol. 2023;15(1):70–3. pmid:38487566
- 34. Nyberg ST, Frank P, Pentti J, Alfredsson L, Ervasti J, Goldberg M, et al. Health benefits of leisure-time physical activity by socioeconomic status, lifestyle risk, and mental health: a multicohort study. Lancet Public Health. 2025;10(2):e124–35. pmid:39909687
- 35. Sato A, Eguchi E, Hayashi F, Funakubo N, Okada T, Kiyama M, et al. A prospective study of the association between lifestyle and the risk of depressive symptoms. J Affect Disord. 2025;376:269–79. pmid:39818337
- 36. Black CJ, Drossman DA, Talley NJ, Ruddy J, Ford AC. Functional gastrointestinal disorders: advances in understanding and management. Lancet. 2020;396(10263):1664–74.
- 37. Huang W-L, Chang S-S, Wu S-C, Liao S-C. Population-based prevalence of somatic symptom disorder and comorbid depression and anxiety in Taiwan. Asian J Psychiatr. 2023;79:103382. pmid:36493688
- 38. Li J, Luo C, Liu L, Huang A, Ma Z, Chen Y, et al. Depression, anxiety, and insomnia symptoms among Chinese college students: A network analysis across pandemic stages. J Affect Disord. 2024;356:54–63. pmid:38588724
- 39. Salmon M, Sibeoni J, Harf A, Moro MR, Ludot-Grégoire M. Systematic review on somatization in a transcultural context among teenagers and young adults: Focus on the nosography blur. Front Psychiatry. 2022;13:897002. pmid:35958663
- 40. Palmer CA, Bower JL, Cho KW, Clementi MA, Lau S, Oosterhoff B, et al. Sleep loss and emotion: A systematic review and meta-analysis of over 50 years of experimental research. Psychol Bull. 2024;150(4):440–63. pmid:38127505
- 41. Yik M, Chen CZ. Unraveling Chinese talk about emotion. Frontiers in Psychology. 2023;14:1157863.
- 42. Ryder AG, Yang J, Zhu X, Yao S, Yi J, Heine SJ, et al. The cultural shaping of depression: somatic symptoms in China, psychological symptoms in North America?. J Abnorm Psychol. 2008;117(2):300–13. pmid:18489206
- 43. Patcharatrakul T, Kriengkirakul C, Chaiwatanarat T, Gonlachanvit S. Acute effects of red chili, a natural capsaicin receptor agonist, on gastric accommodation and upper gastrointestinal symptoms in healthy volunteers and gastroesophageal reflux disease patients. Nutrients. 2020;12(12):3740. pmid:33291700
- 44. Sarnelli G, Pesce M, Seguella L, Lu J, Efficie E, Tack J, et al. Impaired duodenal palmitoylethanolamide release underlies acid-induced mast cell activation in functional dyspepsia. Cell Mol Gastroenterol Hepatol. 2021;11(3):841–55. pmid:33065341
- 45. Bai X, Zhang X, Zhou Q. Effect of testosterone on TRPV1 expression in a model of orofacial myositis pain in the rat. J Mol Neurosci. 2018;64(1):93–101. pmid:29209900
- 46. Richter JE, Rubenstein JH. Presentation and epidemiology of gastroesophageal reflux disease. Gastroenterology. 2018;154(2):267–76.
- 47. Seidler ZE, Dawes AJ, Rice SM, Oliffe JL, Dhillon HM. The role of masculinity in men’s help-seeking for depression: A systematic review. Clin Psychol Rev. 2016;49:106–18. pmid:27664823
- 48. Zhi Y, Zhang Y, Zhang Y, Zhang M, Kong Y. Age-associated changes in multimodal pain perception. Age Ageing. 2024;53(5):afae107. pmid:38776215
- 49. MacCormack JK, Henry TR, Davis BM, Oosterwijk S, Lindquist KA. Aging bodies, aging emotions: Interoceptive differences in emotion representations and self-reports across adulthood. Emotion. 2021;21(2):227–46. pmid:31750705
- 50. Delgado CE, Silva EA, Castro EAB de, Carbogim F da C, Püschel VA de A, Cavalcante RB. COVID-19 infodemic and adult and elderly mental health: a scoping review. Rev Esc Enferm USP. 2021;55:e20210170. pmid:34855932
- 51. Pignon B, Szöke A, Ku B, Melchior M, Schürhoff F. Urbanicity and psychotic disorders: Facts and hypotheses. Dialogues Clin Neurosci. 2023;25(1):122–38. pmid:37994794
- 52. Chen H, Lin Y, Zhao Z, Lin T, Lin Q, Chen X, et al. Efficacy and safety of venlafaxine hydrochloride combined with tandospirone citrate for patients with vascular depression accompanied by somatic symptoms: An open-labeled randomized control trial. CNS Neurosci Ther. 2024;30(3):e14650. pmid:38514905
- 53. Jassi A, Krebs G. Body dysmorphic disorder. Psychiatr Clin North Am. 2023;46(1):197–209. pmid:36740353
- 54. Hertenstein E, Trinca E, Wunderlin M, Schneider CL, Züst MA, Fehér KD, et al. Cognitive behavioral therapy for insomnia in patients with mental disorders and comorbid insomnia: A systematic review and meta-analysis. Sleep Med Rev. 2022;62:101597. pmid:35240417
- 55. Siah KTH, Wong RKM, Ho KY. Melatonin for the treatment of irritable bowel syndrome. World J Gastroenterol. 2014;20(10):2492–8. pmid:24627586
- 56. Faghih Dinevari M, Jafarzadeh F, Jabbaripour Sarmadian A, Abbasian S, Nikniaz Z, Riazi A. The effect of melatonin on irritable bowel syndrome patients with and without sleep disorders: a randomized double-blinded placebo-controlled trial study. BMC Gastroenterol. 2023;23(1):135. pmid:37098505
- 57. Cho A, Cha C, Baek G. Development of an artificial intelligence-based tailored mobile intervention for nurse burnout: single-arm trial. J Med Internet Res. 2024;26:e54029. pmid:38905631
- 58. Li X, Lu J, Hu S, Cheng KK, De Maeseneer J, Meng Q, et al. The primary health-care system in China. Lancet. 2017;390(10112):2584–94. pmid:29231837
- 59. Yip W, Fu H, Chen AT, Zhai T, Jian W, Xu R, et al. 10 years of health-care reform in China: progress and gaps in universal health coverage. Lancet. 2019;394(10204):1192–204.