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Global temporal trends and projections of gastroesophageal reflux disease prevalence: Age-period-cohort analysis 2021

  • Feng Xie,

    Roles Writing – original draft

    Affiliation Department of Bariatric and Metabolic Surgery, The Third Xiangya Hospital, Central South University, Changsha, China

  • Baoqin Yang,

    Roles Methodology

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Zeng Yan,

    Roles Methodology

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Yong Shen,

    Roles Methodology

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Hui Qin,

    Roles Investigation

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Li Chen,

    Roles Investigation

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Tiantian Chen,

    Roles Investigation

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Jigui Chen,

    Roles Validation

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Shaihong Zhu,

    Roles Validation

    Affiliation Department of Bariatric and Metabolic Surgery, The Third Xiangya Hospital, Central South University, Changsha, China

  • Fei Xiong ,

    Contributed equally to this work with: Fei Xiong, Xulong Sun

    Roles Conceptualization, Writing – review & editing

    brrhsyxndx@163.com (XS); feixiongg@foxmail.com (FX)

    Affiliation Bariatric and Metabolic Medicine Center, The Eighth Hospital of Wuhan, Wuhan, China

  • Xulong Sun

    Contributed equally to this work with: Fei Xiong, Xulong Sun

    Roles Conceptualization, Writing – review & editing

    brrhsyxndx@163.com (XS); feixiongg@foxmail.com (FX)

    Affiliation Department of Bariatric and Metabolic Surgery, The Third Xiangya Hospital, Central South University, Changsha, China

Abstract

Background

Gastroesophageal reflux disease (GERD) represents a major global health challenge with varied regional epidemiological patterns. This study aimed to comprehensively analyze temporal trends, health inequalities, and driving factors of GERD.

Methods

Using Global Burden of Disease 2021 data, we extracted GERD prevalence across 204 territories. Age-standardized prevalence rate (ASPR) was calculated and analyzed using age-period-cohort framework. An autoregressive integrated moving average model was employed to project future trends to 2036. Health inequalities were assessed using slope index and concentration index.

Results

Global GERD prevalence surged from 450,765,455 cases in 1990–825,603,654 in 2021, with an annual percentage change of 0.04% in ASPR. Significant regional disparities were observed across Socio-demographic Index (SDI) quintiles: middle SDI regions exhibited the steepest ASPR increase (0.22% annually), contrasting with declining trends in high-middle (−0.26%) and high SDI regions (−0.18%). Latin American countries demonstrated the highest burden, with Paraguay, Brazil, and El Salvador leading globally. The United States and China revealed notable post-2010 prevalence rebounds. Notably, populations aged 25–34 years showed the most rapid prevalence growth (>0.3% annually), challenging traditional age-risk paradigms. The slope index increased from −1978.5 to −2053.4, signifying worsening absolute health disparities, with low SDI nations bearing a disproportionate GERD burden.

Conclusions

The increasing prevalence of GERD has resulted in major health burdens over the past three decades. Future strategies should prioritize targeted interventions for high-risk populations and modifiable risk factors, enhanced healthcare accessibility, and integration of GERD management within non-communicable disease frameworks to address this emerging public health challenge.

Background

Gastroesophageal reflux disease (GERD) is one of the most prevalent gastrointestinal disorders globally, characterized by abnormal reflux of gastric contents into the esophagus, leading to symptomatic discomfort and mucosal damage [1]. It affects an estimated 13.98% of the adult population worldwide, translating to approximately 1.03 billion individuals, thus representing a major public health concern [2]. Beyond the symptomatic burden, GERD is clinically important due to its association with complications such as Barrett’s esophagus, esophageal strictures, and esophageal adenocarcinoma [3]. These complications necessitate long-term surveillance and specialized care, placing substantial demands on healthcare systems [4]. In 2018, annual healthcare expenditures for esophageal disorders exceeded $12 billion in the United States, with disease-related annual mean total healthcare costs for GERD patients averaging $6,955 per patient [5]. Indirect costs, such as productivity losses and work impairment, contribute an additional $3,441 per patient [6].

The epidemiological patterns of GERD exhibit marked regional heterogeneity and temporal variation [7]. Historically, prevalence rates have been notably higher in Western developed countries (8.8–27.8%) compared to Asian regions (2.5–7.8%) [8]. However, recent trends indicate a growing GERD burden in developing countries, driven by lifestyle shifts such as westernized diets, reduced physical activity, and rising obesity—particularly among urban African populations undergoing rapid socioeconomic transitions [7,9]. Temporal trend analyses demonstrate a consistent upward trajectory in GERD prevalence (0.3% annually) [9]. Furthermore, demographic patterns have evolved beyond traditional expectations. Whereas GERD prevalence once peaked in middle-aged populations (75–79 years), emerging data reveal a substantial rise among younger adults, with a 41% increase among individuals aged 35–39 between 1990 and 2010 [9,10]. These shifts are further influenced by period effects tied to healthcare system advancements, including the widespread availability of proton pump inhibitors (PPIs), improved endoscopic diagnostic capacity, and evolving diagnostic criteria [11,12]. Together, these temporal and systemic factors suggest fundamental changes in GERD’s natural history and the distribution of its risk factors.

Despite its substantial global burden, GERD remains markedly underrepresented in international health policy frameworks. The World Health Organization’s (WHO) Global Action Plan for the Prevention and Control of Non-communicable Diseases prioritizes cardiovascular diseases, diabetes, cancer, and chronic respiratory illnesses, while digestive disorders (e.g., GERD) receive minimal attention in global surveillance and policy agendas [13,14]. This omission underscores a critical need for comprehensive epidemiological analyses to inform GERD’s rightful place within global health priorities. However, existing epidemiological research on GERD is constrained by several methodological shortcomings. Substantial diagnostic and methodological heterogeneity across studies undermines comparability and hampers synthesis of findings [7,15]. Additionally, the predominance of cross-sectional designs limits the ability to track temporal trends or assess disease progression effectively [2]. Perhaps most critically, current research often fails to disentangle age, period, and cohort effects—an analytical gap that significantly restricts insight into the underlying drivers of the shifting epidemiological landscape [16].

The age–period–cohort (APC) analytical framework offers a rigorous approach for disentangling the intertwined temporal dimensions of disease trends—specifically, age, period, and cohort effects [17]. This methodology is particularly valuable in epidemiological research on GERD, where the interplay of biological aging, historical shifts, and generational exposures can obscure underlying causal pathways. Age effects reflect physiological processes associated with aging, such as progressive weakening of the lower esophageal sphincter and delayed gastric emptying, which increase susceptibility to GERD over time [18]. Period effects capture external changes that simultaneously affect all age groups, including advancements in diagnostic technologies, shifts in healthcare delivery, and evolving clinical guidelines, which can alter disease detection rates and management strategies [19]. Cohort effects refer to exposures unique to specific birth cohorts, such as dietary westernization, increasing exposure to environmental pollutants, and early-life antibiotic use—all of which may disrupt gastrointestinal development and predispose individuals to GERD later in life [20, 21]. In this study, we apply APC modeling to the Global Burden of Disease (GBD) database to elucidate temporal trends, identify underlying driving factors, characterize health inequalities, and develop evidence-based projections for global GERD. Ultimately, these insights provide an empirical foundation for targeted prevention strategies and inform global health policy aimed at mitigating the future burden of GERD.

Methods

Data sources and definitions

This study adheres to the GATHER Checklist to ensure reproducibility (S1 Table). Data were obtained from the GBD 2021 study, developed by the Institute for Health Metrics and Evaluation (IHME). As the most comprehensive and methodologically standardized source of global health estimates, GBD 2021 provides age- and sex-specific data for 371 diseases and injuries across 204 countries and territories from 1990 to 2021 [22]. Annual prevalence estimates for GERD were extracted using the GBD Results Tool (http://ghdx.healthdata.org/gbd-results-tool).

GERD was defined based on the International Classification of Diseases (ICD) 10th revision, including codes K21-K21.9, K22.7-K22.719, and R12. To facilitate comparability across populations, age-standardized prevalence rate (ASPR) was calculated using the WHO’s standard age structure (S2 Table) [23]. To assess socioeconomic disparities, countries were stratified into five groups according to the Socio-demographic Index (SDI): high, high-middle, middle, low-middle, and low. In contrast to static classifications, we applied time-varying SDI values, as provided by the GBD 2021 framework, which reflect evolving national profiles in income, education, and fertility [22]. This dynamic classification approach allows for more accurate modeling of temporal shifts in socioeconomic status, policy implementation, and demographic transitions, thereby enhancing the validity of inferences drawn regarding the association between socioeconomic context and GERD burden (S1 File).

Statistical analysis

The APC framework was employed to disentangle temporal trends in GERD prevalence by quantifying the independent contributions of age, period, and cohort effects [24,25]. Within the APC model, net drift represents the overall annual percentage change in age-adjusted rates, while local drift captures age-specific temporal trends. Age effects manifest in age-specific rates linked to birth cohorts, whereas period and cohort effects are expressed as relative risks compared to a reference group, following standard epidemiological practice to minimize extrapolation bias [26]. The reference categories were selected as the midpoints of their respective distributions: age group 45–49 years, period 2002–2006, and birth cohort 1952–1956 [26]. APC analysis was implemented using the ‘apc’ package, with data organized into consecutive 5-year age groups (5–9–95 + years) and 5-year periods (1992–1996–2017–2021), yielding 24 synthetic birth cohorts spanning 1897–1901–2012–2016.

An autoregressive integrated moving average (ARIMA) model was utilized to forecast GERD prevalence trends through 2036. ARIMA is well suited for non-stationary data and accounts for serial correlation, making it a robust approach for short- to medium-term epidemiological projections [27]. To assess health inequalities in GERD burden, two complementary inequality metrics were used. The slope index captures absolute differences between the highest and lowest socioeconomic groups, with negative values indicating disproportionate burden in lower SDI regions. The concentration index quantifies the relative distribution of disease burden across socioeconomic spectrum (ranging from –1 to +1), where negative values similarly reflect concentration of burden in less developed populations [28].

The uncertainty intervals (UIs) presented are derived from the GBD 2021 methodology, which uses Monte Carlo simulation to generate 1,000 posterior draws, with the 2.5th and 97.5th percentiles representing the bounds (S1 File) [29]. All analyses were conducted using R (version 4.3.1). The primary packages included: ‘apc’, ‘forecast’, ‘ggplot2’, ‘tidyr’, and ‘dplyr’. The complete codebase, including data preprocessing scripts, statistical modeling procedures, and visualization scripts, will be made publicly available via GitHub upon manuscript acceptance.

Results

Global and SDI regional patterns in GERD prevalence

Table 1 illustrates the distribution of prevalence cases and ASPR. Globally, GERD case numbers substantially increased from 450.8 million in 1990 to 825.6 million in 2021. Correspondingly, ASPR demonstrated a parallel trajectory, elevating from 9,516.49 (95% UI: 8427.33, 10664.72) to 9,838.6 (95% UI: 8732.46, 11056.05) per 100,000 during this timeframe (S1 Fig). Compared to 1990, an examination of 2021 data reveals amplified GERD prevalence across all SDI regions. Notably, ASPR within low and low-middle SDI regions consistently exceeded worldwide averages, while high-middle SDI region maintained the minimal rates (Fig 1). Throughout the examined three-decade interval (1990–2021), GERD burden has followed divergent trajectories among socio-demographic classifications. The middle SDI region demonstrated progressive elevation in ASPR, low and low-middle SDI regions remained stable, whereas high-middle and high SDI exhibited fluctuating patterns characterized by initial reduction succeeded by subsequent elevation.

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Table 1. Global and SDI trends of gastroesophageal reflux disease prevalence from 1990 to 2021.

https://doi.org/10.1371/journal.pone.0334396.t001

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Fig 1. The prevalence numbers (A) and ASPR (B) of GERD in five SDI regions, 1990-2021.

https://doi.org/10.1371/journal.pone.0334396.g001

Substantial geographic heterogeneity was evident in GERD prevalence, prompting a comprehensive investigation into the underlying determinants of these regional variations. To elucidate these patterns, we implemented APC analytical methodology. Table 1 summarizes the prevalence net drift estimates derived from APC framework. Globally, GERD prevalence rate demonstrated a progressive upward trajectory, characterized by an annual net drift of 0.04% (95% CI: 0.03, 0.05), indicating a persistent escalation in disease burden over consecutive years. Examination across SDI quintiles revealed distinctive epidemiological signatures. Interestingly, high-middle and high SDI regions exhibited contrary epidemiological dynamics compared to global trend, manifesting declining GERD prevalence, as evidenced by annual negative net drifts of −0.26% (95% CI: −0.29, −0.24) and −0.18% (95% CI: −0.21, −0.15), respectively. Conversely, middle SDI region demonstrated an ascending pattern (0.22%, 95% CI: 0.2, 0.24), whereas low and low-middle SDI regions maintained relatively constant prevalence profiles.

National trends in GERD prevalence

The epidemiological landscape of GERD is illustrated in S3 Table, which depict prevalence number, ASPR, and relative change. Analysis of 2021 data revealed that fourteen nations exceeded the threshold of 10 million GERD cases, collectively accounting for 64.27% of the worldwide GERD burden, with predominant clustering observed in low-middle and middle SDI regions. Notably, India, China, and the United States—nations with substantial demographic footprints, occupied the foremost positions of GERD case volumes. 142 nations exhibited ASPRs surpassing the global benchmark, with particularly elevated rates documented in Paraguay, Brazil, El Salvador, Mexico, and Honduras. Furthermore, disaggregation by SDI unveiled a heterogeneous geographical distribution pattern: low (n = 30), low-middle (n = 17), middle (n = 33), high-middle (n = 28), and high (n = 34) SDI regions, as visualized in S2 Fig. This distribution underscores the complex and diverse manifestation of GERD.

Longitudinal analysis identified 39 nations exhibiting upward trajectories in GERD prevalence throughout the thirty-year observation period, which were predominantly concentrated within low-middle and middle SDI regions. Interestingly, the most pronounced escalation was documented in Sweden (high-middle SDI), with a relative change of 6.31% (95% CI: 2.31, 10.97), followed by Turkey (high-middle SDI) and Taiwan (high SDI). Among territories experiencing prevalence contractions, the United States emerged as particularly noteworthy, exhibiting a substantial relative reduction of −10.86% (95% CI: −0.75, −14.75). Paradoxically, post-2010 epidemiological data revealed a marked reversal in the United States and China, with a pronounced upswing of 13.09% (95% CI: 8.07, 17.56) and 12.29% (95% CI: 8.73, 15.92), respectively (S3 Table). These divergent patterns accentuate the remarkable geographical and temporal variability of GERD epidemiology worldwide.

Health inequality in GERD prevalence

Assessment of GERD revealed significant inequalities correlated with socio-demographic development, whereby populations in lower SDI nations experienced disproportionate burden (Fig 2). Quantification via slope index demonstrated an expanding discrepancy in prevalence rates between extremes of the socioeconomic spectrum, escalating from −1978.5 (95% CI: −3584.2, −372.8) to −2053.4 (95% CI: −3665.9, −440.8) (1990–2021). Concurrently, the concentration index yielded values of −0.13 (95% CI: −0.23, −0.03) in 1990, remaining consistent at −0.13 (95% CI: −0.24, −0.02) through 2021. These results elucidate a concerning trend wherein absolute health disparities related to GERD intensified during the three decades, with relative inequities remaining stable.

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Fig 2. Health inequality regression (A) and concentration curves (B) of GERD prevalence.

https://doi.org/10.1371/journal.pone.0334396.g002

Age-specific temporal trends in GERD prevalence

Age-stratified variations in GERD distribution are visualized in Fig 3A, while Fig 3B illustrates the age-specific local drift in prevalence rates, expressed as annual percentage change (derived from APC framework). The epidemiological landscape of global GERD revealed a biphasic pattern: populations exceeding 45 years demonstrated declining trajectory, whereas younger segments exhibited generalized escalation. Significant elevations were particularly pronounced within young adults aged 25–29 and 30–34 years, who registered local drifts of 0.32% (95% CI: 0.31, 0.34) and 0.3% (95% CI: 0.29, 0.31), respectively (Fig 3B, S4 Table). Concurrently, the peak prevalence of GERD is centered within this age bracket (S3 Fig).

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Fig 3. Age distribution (A) and local drift (B) of GERD prevalence from 1990 to 2021 across SDI quintiles.

https://doi.org/10.1371/journal.pone.0334396.g003

Stratified analysis across SDI revealed distinctive epidemiological signatures. Middle SDI region demonstrated universal prevalence increments across the entire age spectrum, although magnitude diminished progressively with advancing age. Low and low-middle SDI regions maintained relatively static profiles with negligible temporal fluctuations. High SDI region exhibited unequivocal descension across all age segments. A more complex pattern characterized high-middle SDI region, where young adults (ages 20–39) manifested increasing prevalence rates, whereas age groups beyond 40–44 revealed substantial contractions, with the 50–69 age group representing the acme of this declining trajectory.

Age, period and birth cohort effects on GERD prevalence

Fig 4 and S5-S6 Tables illustrated the APC analysis results for GERD. The age-specific effect demonstrated comparable configurations across SDI stratifications, characterized by minimal risk in adolescent followed by progressive risk amplification throughout the aging process. Notably, high-middle SDI region exhibited both lower prevalence and attenuated inter-age variation compared to other SDI regions (Figs 4A and S4).

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Fig 4. Age (A), period (B) and birth cohort (C) effects on GERD prevalence by APC models.

https://doi.org/10.1371/journal.pone.0334396.g004

The period effect revealed a non-monotonic global trajectory characterized by initial contraction and subsequent expansion, a pattern similarly observed in high and high-middle SDI regions. Middle SDI region consistently demonstrated elevated period risk, while lower SDI regions maintained stable period risk. Utilizing the 2002–2006 period as reference, the period risk for 2007–2011, 2017–2021 period was 0.97 (95% CI: 0.96, 0.97), 1.01 (95% CI: 1, 1.02) in high SDI region, and 1 (95% CI: 0.99, 1), 1.04 (95% CI: 1.03, 1.04) in middle SDI region (Fig 4B).

Birth cohort analysis revealed distinctive generational susceptibility patterns, characterized by initial risk attenuation followed by subsequent amplification across successive global birth cohorts, yielding an overall risk increment. The trends in middle and high-middle SDI regions were similar with global pattern. Conversely, low, low-middle, and high SDI regions exhibited progressive risk amelioration across. A critical epidemiological inflection point occurred at the 1967–1971 birth cohort; preceding cohorts demonstrated modest risk reductions, while subsequent cohorts exhibited pronounced risk escalation. Within low, low-middle, and high SDI regions, all post-1942–1946 birth cohorts demonstrated diminished susceptibility relative to this reference cohort. Contrasting dynamics were observed in middle and high-middle SDI regions, where pre-1967–1971 cohorts exhibited progressive risk reduction, whereas post-1967–1971 cohorts demonstrated incremental risk elevation. Compared to the 1952–1956 cohort, the 1942–1946 and 1947–1951 birth cohorts in high-middle SDI region exhibited elevated GERD susceptibility, while other birth cohorts in middle SDI region demonstrated comparatively heightened risk (Fig 4C).

To better characterize geographical heterogeneity of temporal GERD epidemiology, Figs S4 and S5 presented case studies of representative nations exhibiting contrasting age, period, and birth cohort effects, including favorable and unfavorable temporal evolution patterns.

Projected global burden of GERD to 2036

The ARIMA model was utilized to forecast the future trends of ASPR attributable to GERD from 2022 to 2036. Globally, the ASPR is projected to follow an upward trajectory, culminating at 10,198.5 (95% CI: 8,965, 11,432.1) by 2036 (Fig 5, S7 Table). The middle SDI region will experience a pronounced increase in ASPR, whereas in low and low-middle SDI regions, it is expected to remain stable at elevated levels, persisting in its severity. Notably, in high-middle and high SDI regions, the ASPR is anticipated to continue rising, with the potential to exceed historical peak.

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Fig 5. Projected ASPR of GERD in global and five SDI regions, for the year 2036.

https://doi.org/10.1371/journal.pone.0334396.g005

Discussion

This systematic analysis of global GERD epidemiology from 1990 to 2021 revealed significant epidemiological shifts. The global prevalence surged from 451 million to 826 million cases, with an annual percentage change of 0.04% (95% CI: 0.03, 0.05) in ASPR. Regional disparities were pronounced across SDI quintiles: middle SDI regions exhibited the steepest ASPR increase (0.22%, 95% CI: 0.2, 0.24), contrasting with declining trends in high-middle (−0.26%, 95% CI: −0.29, −0.24) and high SDI regions (−0.18%, 95% CI: −0.21, −0.15). Strikingly, populations aged 25–34 years demonstrated the most rapid prevalence growth, challenging traditional age-risk paradigms. Geospatial analysis identified Latin America as the highest-burden region, while low SDI nations disproportionately carried the disease burden despite stable ASPR trends.

Our global prevalence estimate of 9,838.6 per 100,000 (95% UI: 8,732.5, 11,056.1) differs from previous reports (8,800–13,000), likely reflecting both methodological advancements and expanding disease burden [2,9]. Prior meta-analyses have been constrained by sample size–weighted approaches that disproportionately represent high-income settings and underrepresent rural or resource-limited populations [2,7]. Moreover, those studies were subject to considerable diagnostic heterogeneity, ranging from symptom-based to endoscopic definitions, which conventional methods cannot adequately reconcile [30]. In contrast, the GBD framework applies population-weighted Bayesian hierarchical modeling to ensure demographic representativeness and incorporates crosswalk adjustments that standardize data from heterogeneous diagnostic criteria. Through spatiotemporal regression, prevalence estimates were generated for countries without published GERD data [22]. These methodological advances unveil emerging epidemiological patterns, including unexpectedly high prevalence in Latin America (e.g., Paraguay: 16.77%), which challenges the historical perception of GERD as a predominantly Western disease [2]. Furthermore, a rising burden among young adults (25–34 years), especially in middle-SDI region (>0.3% annually), suggests a shifting age distribution and emerging early-onset risk cohort [31]. This trend raises concerns regarding prolonged disease exposure and downstream complications such as Barrett’s esophagus, highlighting the need to reassess current screening guidelines and develop targeted interventions for vulnerable demographic groups [19,32].

Multiple interconnected factors contribute to the global trajectory of GERD prevalence (0.04% annually, 95% CI: 0.03, 0.05). The obesity pandemic substantially amplifies GERD pathogenesis through dual mechanisms. Mechanically, excess visceral fat elevates intra-abdominal pressure and increases hiatal hernia risk, while metabolically, adipose-derived inflammatory mediators impair lower esophageal sphincter (LES) function [3335]. These effects are particularly pronounced in middle SDI region undergoing rapid nutritional transition, with childhood-onset obesity conferring a greater lifetime GERD risk than adult-onset obesity [36]. Diagnostic advancements—particularly in painless endoscopy, ambulatory impedance-pH monitoring, and high-resolution manometry—have improved case ascertainment for both erosive and non-erosive reflux disease, especially in developing healthcare systems [37]. However, political instability creates remarkable disparities in diagnostic capacity and healthcare infrastructure, with documented reductions in specialized medical procedures and equipment availability in conflict-affected regions, potentially resulting in substantial underdiagnosis [38]. Pharmacoepidemiologic patterns reveal complex bidirectional effects on GERD dynamics. While PPIs overuse may trigger rebound acid hypersecretion upon discontinuation, higher SDI regions report decreasing prevalence due to structured pharmacologic deprescribing and increased utilization of guideline-directed surgical or endoscopic interventions [39,40]. Psychosocial and environmental risk factors exert considerable influence. Occupational stress and air pollution, mediated via hypothalamic-pituitary-adrenal axis activation and systemic inflammatory responses, demonstrate positive associations with GERD development [41,42]. Tobacco uses also exacerbate GERD through nicotine-induced LES pressure reduction and gastric acid production, with current smokers showing a 1.23-fold greater risk compared to never-smokers [43]. Additionally, global shifts in occupational structure and dietary habits have exposed populations to new refluxogenic conditions. The move from manual labor to sedentary, cognitively demanding work contributes to stress, irregular meals, and physical inactivity, while night shift employment disrupts autonomic regulation and circadian rhythms [44]. Simultaneously, the global adoption of energy-dense, reflux-triggering foods (e.g., carbonated beverages, caffeine, alcohol) further amplifies GERD risk across previously low-burden regions [45]. These multifactorial drivers necessitate equally multifaceted intervention strategies. These multifactorial drivers underscore the need for equally multifaceted prevention strategies that integrate lifestyle modification, optimized diagnostic pathways, and rational treatment algorithms adapted to regional health system capacities and population characteristics [32,46].

The sloped index of inequality demonstrated a concerning trend, increasing from −1978.5 to −2053.4, which signals progressively worsening health disparities across socioeconomic gradients. Latin America presents a particularly instructive case study in GERD epidemiology. The region’s exceptional burden likely stems from a complex cultural synergism: traditional mate consumption (both thermally and chemically irritant), culinary practices rich in capsaicin, and elevated smoking prevalence combine to create ideal conditions for GERD pathogenesis [47,48]. Conversely, high and high-middle SDI regions have implemented integrated care pathways that combine population health initiatives (such as obesity prevention programs), early endoscopic surveillance protocols, and access to minimally invasive therapies [49]. Throughout the study period, these areas exhibited a marked decline in ASPR, further validating the effectiveness of multifaceted intervention strategies. However, a post-2010 resurgence in GERD prevalence was observed in several industrialized nations, notably the United States (13.09%) and China (12.29%), highlighting the dynamic tension between therapeutic progress and opposing secular trends. This rebound is likely multifactorial in origin, driven by demographic aging, increased psychosocial stressors associated with modern urbanized lifestyles, and persistent obesity epidemics that have proven refractory to existing public health interventions [50,51]. Country-specific factors further elucidate these patterns: in the United States, adult obesity prevalence rose from 30.5% to 42.4% between 2000 and 2018, coinciding with improved diagnostic access via expanded health insurance coverage and telemedicine implementation [5254]. Meanwhile, China experienced rapid urbanization, dietary westernization, and increased healthcare utilization following sweeping economic reforms [55]. These observations underscore the importance of country-level analyses within broader SDI categories, as local determinants can substantially diverge from regional or global epidemiologic trajectories.

The APC model elucidated multidimensional temporal dynamics in GERD epidemiology. Age effect analysis demonstrated that overall GERD risk increases with age, consistent with previous understanding. As physiological age advances, weakened lower esophageal sphincter function, delayed gastric emptying, and decreased esophageal clearance capacity collectively elevate GERD risk [56]. However, a notably rapid growth was observed among younger adults under 45 years, particularly in the 25–29 and 30–34 age groups, which exhibited the steepest local drifts of 0.32% (95% CI: 0.31, 0.34) and 0.30% (95% CI: 0.29, 0.31), respectively (Fig 3B). This emerging burden among young adults likely reflects evolving lifestyle factors, including ultra-processed food dependence, irregular dietary patterns, circadian rhythm disruption, and heightened psychosocial stressors [10,57]. Additionally, ascertainment bias may have contributed, as improved access to healthcare, expanded insurance coverage for younger populations, and the proliferation of digital health tools may have enhanced case detection in this age segment [58,59]. Period effect analysis revealed a global U-shaped trend in GERD prevalence, characterized by initial decline followed by resurgence, particularly in high-middle and high SDI regions. This pattern may reflect evolving clinical practices: the widespread availability of PPIs in the late 1990s and early 2000s contributed to short-term prevalence reductions through improved symptom control and reduced diagnostic yield; however, subsequent concerns over long-term PPI safety, shifting treatment guidelines, and improved diagnostic vigilance have likely contributed to the observed rebound [39,60]. Birth cohort effect analysis revealed a similarly biphasic pattern globally. Notably, individuals born after 1967–1971 exhibited a marked increase in GERD risk. This cohort reached adulthood during a period marked by the rise of fast-food culture, increasing occupational sedentarism, and escalating work-related stress, collectively contributing to greater susceptibility to GERD development over the life course [61,62].

ARIMA projection models indicate a concerning future trajectory for GERD burden, warranting urgent policy attention and strategic healthcare planning. By 2036, the global ASPR is projected to reach 10,198.5 per 100,000 (95% CI: 8,965.1, 11,432.1), potentially affecting an additional 28 million individuals worldwide. Middle SDI region is expected to exhibit the most pronounced increase, consistent with ongoing epidemiological transitions marked by rapid urbanization, dietary westernization, and behavioral lifestyle shifts.55 In contrast, low and low-middle SDI regions are projected to maintain persistently high baseline prevalence with minimal temporal variation, suggesting entrenched structural barriers to effective GERD prevention, diagnosis, and management [9]. Of particular concern is the projected prevalence rebound in high-middle and high SDI regions, where rates may exceed historical peaks despite advanced healthcare infrastructure and prior declining trends. This anticipated reversal likely reflects multifactorial interactions involving demographic aging, obesity epidemic, and potential limitations in current preventive strategies to address evolving risk factor profiles [50].

These findings carry important implications for both GERD prevention and clinical management. The rapid rise among middle SDI region and younger populations underscores the need for targeted prevention strategies. Integrating GERD risk assessment into existing obesity and diabetes screening programs—an approach successfully implemented in Scandinavian healthcare systems—may offer a pragmatic pathway for early detection [63]. In parallel, school-based lifestyle intervention programs focusing on dietary habits and stress management should be prioritized for adolescents in middle SDI settings [64]. Clinicians should increase vigilance for GERD in young patients rather than viewing it solely as a disease of older adults, and clinical guidelines require updates to reflect these epidemiological shifts [19]. The notable regional variations suggest that interventions should be tailored to local characteristics rather than applying standardized approaches, particularly for Latin American countries where culturally sensitive interventions may prove more effective. From a global health perspective, the disproportionate disease burden in low SDI region highlights the urgent need for enhanced technical support and resource mobilization through international collaboration. Recommended efforts include subsidized endoscopic training programs, telemedicine services for complex case consultations, and deployment of mobile diagnostic units in underserved rural areas [65]. Moreover, health policy frameworks should incorporate GERD prevention and management (including mitigation of severe complications such as Barrett’s esophagus and esophageal adenocarcinoma) into non-communicable disease control strategies and implement multi-level interventions targeting shared risk factors like obesity, unhealthy diet, and high-stress lifestyles [62,66].

While this study offers comprehensive insights into GERD’s evolving epidemiology, several methodological limitations warrant careful interpretation. First, data heterogeneity arises from inconsistent diagnostic frameworks across regions and time periods. The reliance on symptom-based criteria (e.g., Montreal Consensus) versus objective testing (e.g., 24-hour pH monitoring) introduces classification bias, particularly in resource-limited settings. Potential underdiagnosis in low SDI regions due to limited endoscopic access may result in systematic underestimation of true disease burden, with endoscopy availability rates lower in resource-constrained settings compared to high-income countries [67]. Cultural variations in symptom reporting and healthcare-seeking behavior further complicate cross-regional comparisons, as populations in certain cultures may normalize gastrointestinal symptoms or prefer traditional remedies over formal medical consultation. Second, temporal confounding factors—evolving ICD coding practices and increase in endoscopy availability—complicate longitudinal comparisons. Third, the GBD modeling framework omits critical pathophysiological mediators—chronic stress biomarkers, environmental pollutants—whose exclusion may attenuate true effect sizes. Finally, ARIMA-based projection models assume linear epidemiological trajectories and may not fully capture the potential impact of disruptive innovations, including AI-enabled early diagnostics tools, large-scale dietary policy interventions, or novel therapeutics, all of which could substantially alter future disease dynamics.

Conclusions

The global burden of GERD demonstrates an upward trajectory, albeit with significant regional heterogeneity. Latin American countries bear disproportionate prevalence, middle SDI region and younger populations exhibit accelerated growth rates, while high SDI regions show declining trends—challenging traditional conceptualizations of GERD as predominantly affecting older demographics and high-income nations. Given projections indicating continued rises in ASPR through 2036, we recommend future GERD management strategies prioritize: targeted lifestyle interventions and health education for high-risk populations, enhanced healthcare accessibility, development of cost-effective diagnostic and therapeutic approaches, integration of GERD management within non-communicable disease frameworks, and reduction of health inequities through international collaboration and resource sharing, thereby providing empirical support for addressing this emerging public health challenge.

Supporting information

S1 Table. GATHER checklist of information that should be included in reports of global health estimates.

https://doi.org/10.1371/journal.pone.0334396.s001

(DOCX)

S2 Table. Age group weights for age-standardization.

https://doi.org/10.1371/journal.pone.0334396.s002

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S3 Table. Prevalence numbers and ASPR of gastroesophageal reflux disease, with relative change in ASPR (1990–2021, 2010–2021).

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S4 Table. Annual change in prevalence rate of gastroesophageal reflux disease from 1990 to 2021 by age groups.

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S5 Table. Period and birth cohort effects on gastroesophageal reflux disease prevalence.

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S6 Table. APC analysis of gastroesophageal reflux disease prevalence in global and five SDI from 1990 to 2021.

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S7 Table. Projected trends in age-standardized prevalence rate of GERD across SDI regions from 2022 to 2036.

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S1 Fig. All-age numbers and age-standardized rates of GERD prevalence by sex, 1990–2021.

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S2 Fig. ASPR of GERD across 204 countries and territories by SDI in 2021.

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S3 Fig. Age-specific numbers and rates of GERD prevalence by sex in 2021.

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S4 Fig. Local drift of GERD prevalence from 1990 to 2021 across countries.

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S5 Fig. Age (A), period (B) and birth cohort (C) effects on GERD prevalence by APC models.

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S1 File. Supplementary methods. Detailed description of the data sources, definitions, and statistical methodologies employed in the analysis. This includes the case identification strategy for gastroesophageal reflux disease (GERD) within the Global Burden of Disease (GBD) 2021 framework, the definition of the Socio-demographic Index (SDI), and details on the Age–Period–Cohort (APC) and ARIMA modeling approaches.

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References

  1. 1. Hunt R, Armstrong D, Katelaris P, Afihene M, Bane A, Bhatia S, et al. World Gastroenterology Organisation Global Guidelines: GERD Global Perspective on Gastroesophageal Reflux Disease. J Clin Gastroenterol. 2017;51(6):467–78. pmid:28591069
  2. 2. Nirwan JS, Hasan SS, Babar Z-U-D, Conway BR, Ghori MU. Global Prevalence and Risk Factors of Gastro-oesophageal Reflux Disease (GORD): Systematic Review with Meta-analysis. Sci Rep. 2020;10(1):5814. pmid:32242117
  3. 3. Lagergren J, Bergström R, Lindgren A, Nyrén O. Symptomatic gastroesophageal reflux as a risk factor for esophageal adenocarcinoma. N Engl J Med. 1999;340(11):825–31. pmid:10080844
  4. 4. Shaheen NJ, Falk GW, Iyer PG, Souza RF, Yadlapati RH, Sauer BG, et al. Diagnosis and Management of Barrett’s Esophagus: An Updated ACG Guideline. Am J Gastroenterol. 2022;117(4):559–87. pmid:35354777
  5. 5. Sharma P, Falk GW, Bhor M, Ozbay AB, Latremouille-Viau D, Guerin A, et al. Healthcare Resource Utilization and Costs Among Patients With Gastroesophageal Reflux Disease, Barrett’s Esophagus, and Barrett’s Esophagus-Related Neoplasia in the United States. J Health Econ Outcomes Res. 2023;10(1):51–8. pmid:36883055
  6. 6. Joish VN, Donaldson G, Stockdale W, Oderda GM, Crawley J, Sasane R, et al. The economic impact of GERD and PUD: examination of direct and indirect costs using a large integrated employer claims database. Curr Med Res Opin. 2005;21(4):535–44. pmid:15899102
  7. 7. Eusebi LH, Ratnakumaran R, Yuan Y, Solaymani-Dodaran M, Bazzoli F, Ford AC. Global prevalence of, and risk factors for, gastro-oesophageal reflux symptoms: a meta-analysis. Gut. 2018;67(3):430–40. pmid:28232473
  8. 8. El-Serag HB, Sweet S, Winchester CC, Dent J. Update on the epidemiology of gastro-oesophageal reflux disease: a systematic review. Gut. 2014;63(6):871–80. pmid:23853213
  9. 9. GBD 2017 Gastro-oesophageal Reflux Disease Collaborators. The global, regional, and national burden of gastro-oesophageal reflux disease in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol. 2020;5(6):561–81. pmid:32178772
  10. 10. Yamasaki T, Hemond C, Eisa M, Ganocy S, Fass R. The Changing Epidemiology of Gastroesophageal Reflux Disease: Are Patients Getting Younger?. J Neurogastroenterol Motil. 2018;24(4):559–69. pmid:30347935
  11. 11. Vakil N, van Zanten SV, Kahrilas P, Dent J, Jones R, Global Consensus Group. The Montreal definition and classification of gastroesophageal reflux disease: a global evidence-based consensus. Am J Gastroenterol. 2006;101(8):1900–20; quiz 1943. pmid:16928254
  12. 12. Tabaeian SP, Moeini S, Rezapour A, Afshari S, Souresrafil A, Barzegar M. Economic evaluation of proton pump inhibitors in patients with gastro-oesophageal reflux disease: a systematic review. BMJ Open Gastroenterol. 2024;11(1):e001465. pmid:39797661
  13. 13. World Health Organization. Global action plan for the prevention and control of noncommunicable diseases 2013-2020. 2013. https://www.who.int/publications/i/item/9789241506236
  14. 14. Pearce N, Ebrahim S, McKee M, Lamptey P, Barreto ML, Matheson D, et al. Global prevention and control of NCDs: Limitations of the standard approach. J Public Health Policy. 2015;36(4):408–25. pmid:26377446
  15. 15. Manterola C, Grande L, Bustos L, Otzen T. Prevalence of gastroesophageal reflux disease: a population-based cross-sectional study in southern Chile. Gastroenterol Rep (Oxf). 2020;8(4):286–92. pmid:32843975
  16. 16. Bell A, Jones K. Age, period and cohort processes in longitudinal and life course analysis: A multilevel perspective. In: Burton-Jeangros C, Cullati S, Sacker A, Blane D. A life course perspective on health trajectories and transitions. Cham (CH): Springer. 2015. 197–213.
  17. 17. Murphy CC, Yang YC. Use of age-period-cohort analysis in cancer epidemiology research. Curr Epidemiol Rep. 2018;5(4):418–31. pmid:31011507
  18. 18. Firth M, Prather CM. Gastrointestinal motility problems in the elderly patient. Gastroenterology. 2002;122(6):1688–700. pmid:12016432
  19. 19. Katz PO, Dunbar KB, Schnoll-Sussman FH, Greer KB, Yadlapati R, Spechler SJ. ACG Clinical Guideline for the Diagnosis and Management of Gastroesophageal Reflux Disease. Am J Gastroenterol. 2022;117(1):27–56. pmid:34807007
  20. 20. Clemente-Suárez VJ, Beltrán-Velasco AI, Redondo-Flórez L, Martín-Rodríguez A, Tornero-Aguilera JF. Global Impacts of Western Diet and Its Effects on Metabolism and Health: A Narrative Review. Nutrients. 2023;15(12):2749. pmid:37375654
  21. 21. Shah S, Jeong KS, Park H, Hong Y-C, Kim Y, Kim B, et al. Environmental pollutants affecting children’s growth and development: Collective results from the MOCEH study, a multi-centric prospective birth cohort in Korea. Environ Int. 2020;137:105547. pmid:32088541
  22. 22. GBD 2021 Causes of Death Collaborators. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):2100–32. pmid:38582094
  23. 23. GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1223–49. pmid:33069327
  24. 24. Fosse E, Winship C. Bounding Analyses of Age-Period-Cohort Effects. Demography. 2019;56(5):1975–2004. pmid:31463797
  25. 25. Luo L, Hodges JS. The Age-Period-Cohort-Interaction Model for Describing and Investigating Inter-cohort Deviations and Intra-cohort Life-course Dynamics. Sociol Methods Res. 2022;51(3):1164–210. pmid:37032706
  26. 26. Harper S. Invited Commentary: A-P-C… It’s Easy as 1-2-3!. Am J Epidemiol. 2015;182(4):313–7. pmid:26199381
  27. 27. Chen Y, Ma L, Han Z, Xiong P. The global burden of disease attributable to high body mass index in 204 countries and territories: Findings from 1990 to 2019 and predictions to 2035. Diabetes Obes Metab. 2024;26(9):3998–4010. pmid:38957939
  28. 28. Wagstaff A, Paci P, van Doorslaer E. On the measurement of inequalities in health. Soc Sci Med. 1991;33(5):545–57. pmid:1962226
  29. 29. GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–22. pmid:33069326
  30. 30. Gyawali CP, Yadlapati R, Fass R, Katzka D, Pandolfino J, Savarino E, et al. Updates to the modern diagnosis of GERD: Lyon consensus 2.0. Gut. 2024;73(2):361–71. pmid:37734911
  31. 31. Delshad SD, Almario CV, Chey WD, Spiegel BMR. Prevalence of Gastroesophageal Reflux Disease and Proton Pump Inhibitor-Refractory Symptoms. Gastroenterology. 2020;158(5):1250-1261.e2. pmid:31866243
  32. 32. Fass R, Boeckxstaens GE, El-Serag H, Rosen R, Sifrim D, Vaezi MF. Gastro-oesophageal reflux disease. Nat Rev Dis Primers. 2021;7(1):55. pmid:34326345
  33. 33. Barak N, Ehrenpreis ED, Harrison JR, Sitrin MD. Gastro-oesophageal reflux disease in obesity: pathophysiological and therapeutic considerations. Obes Rev. 2002;3(1):9–15. pmid:12119661
  34. 34. Wang Z, Zhang J, Mi J, Ma H, Zhao D. Expression and significance of interleukin-17 and interleukin-22 in the serum and the lower esophageal sphincter of patients with achalasia. Saudi J Gastroenterol. 2018;24(4):242–8. pmid:29806597
  35. 35. Valezi AC, Herbella FAM, Schlottmann F, Patti MG. Gastroesophageal Reflux Disease in Obese Patients. J Laparoendosc Adv Surg Tech A. 2018;28(8):949–52. pmid:30004267
  36. 36. Yuan S, Ruan X, Sun Y, Fu T, Zhao J, Deng M, et al. Birth weight, childhood obesity, adulthood obesity and body composition, and gastrointestinal diseases: a Mendelian randomization study. Obesity (Silver Spring). 2023;31(10):2603–14. pmid:37664887
  37. 37. Savarino E, Bredenoord AJ, Fox M, Pandolfino JE, Roman S, Gyawali CP, et al. Expert consensus document: Advances in the physiological assessment and diagnosis of GERD. Nat Rev Gastroenterol Hepatol. 2017;14(11):665–76. pmid:28951582
  38. 38. Bogale B, Scambler S, Mohd Khairuddin AN, Gallagher JE. Health system strengthening in fragile and conflict-affected states: A review of systematic reviews. PLoS One. 2024;19(6):e0305234. pmid:38875266
  39. 39. Freedberg DE, Kim LS, Yang Y-X. The Risks and Benefits of Long-term Use of Proton Pump Inhibitors: Expert Review and Best Practice Advice From the American Gastroenterological Association. Gastroenterology. 2017;152(4):706–15. pmid:28257716
  40. 40. Hatlebakk JG, Zerbib F, Bruley des Varannes S, Attwood SE, Ell C, Fiocca R, et al. Gastroesophageal Acid Reflux Control 5 Years After Antireflux Surgery, Compared With Long-term Esomeprazole Therapy. Clin Gastroenterol Hepatol. 2016;14(5):678-85.e3. pmid:26226096
  41. 41. Song EM, Jung H-K, Jung JM. The association between reflux esophagitis and psychosocial stress. Dig Dis Sci. 2013;58(2):471–7. pmid:23001402
  42. 42. Kim DH, Podury S, Fallah Zadeh A, Mahmoodi T, Kwon S, Grunig G, et al. Gastroesophageal disease risk and inhalational exposure a systematic review and meta-analysis. Sci Rep. 2025;15(1):22581. pmid:40593094
  43. 43. Sadafi S, Azizi A, Pasdar Y, Shakiba E, Darbandi M. Risk factors for gastroesophageal reflux disease: a population-based study. BMC Gastroenterol. 2024;24(1):64. pmid:38317085
  44. 44. Nam M-W, Lee Y, Mun E, Lee W. The association between shift work and the incidence of reflux esophagitis in Korea: a cohort study. Sci Rep. 2023;13(1):2536. pmid:36781911
  45. 45. Song JH, Chung SJ, Lee JH, Kim Y-H, Chang DK, Son HJ, et al. Relationship between gastroesophageal reflux symptoms and dietary factors in Korea. J Neurogastroenterol Motil. 2011;17(1):54–60. pmid:21369492
  46. 46. Ness-Jensen E, Hveem K, El-Serag H, Lagergren J. Lifestyle Intervention in Gastroesophageal Reflux Disease. Clin Gastroenterol Hepatol. 2016;14(2):175-82.e1-3. pmid:25956834
  47. 47. Loria D, Barrios E, Zanetti R. Cancer and yerba mate consumption: a review of possible associations. Rev Panam Salud Publica. 2009;25(6):530–9. pmid:19695149
  48. 48. Bernabe-Ortiz A, Carrillo-Larco RM. Second-hand smoke exposure in adolescents in Latin America and the Caribbean: a pooled analysis. Lancet Reg Health Am. 2023;20:100478. pmid:36970492
  49. 49. Iyer PG, Kaul V. Barrett Esophagus. Mayo Clin Proc. 2019;94(9):1888–901. pmid:31486383
  50. 50. Voulgaris T, Hoshino S, Sifrim D, Yazaki E. Effect of aging and obesity on esophageal mucosal integrity as measured by baseline impedance. Neurogastroenterol Motil. 2023;35(9):e14626. pmid:37332225
  51. 51. Kim O, Jang HJ, Kim S, Lee H-Y, Cho E, Lee JE, et al. Gastroesophageal reflux disease and its related factors among women of reproductive age: Korea Nurses’ Health Study. BMC Public Health. 2018;18(1):1133. pmid:30241473
  52. 52. Flegal KM, Carroll MD, Ogden CL, Johnson CL. Prevalence and trends in obesity among US adults, 1999-2000. JAMA. 2002;288(14):1723–7. pmid:12365955
  53. 53. Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018. 2020.
  54. 54. Lu T, Myerson R. Disparities in Health Insurance Coverage and Access to Care by English Language Proficiency in the USA, 2006-2016. J Gen Intern Med. 2020;35(5):1490–7. pmid:31898137
  55. 55. Howard AG, Attard SM, Herring AH, Wang H, Du S, Gordon-Larsen P. Socioeconomic gradients in the Westernization of diet in China over 20 years. SSM Popul Health. 2021;16:100943. pmid:34703875
  56. 56. Richter JE, Rubenstein JH. Presentation and Epidemiology of Gastroesophageal Reflux Disease. Gastroenterology. 2018;154:267–76.
  57. 57. Chen Y, Chen C, Ouyang Z, Duan C, Liu J, Hou X, et al. Prevalence and beverage-related risk factors of gastroesophageal reflux disease: An original study in Chinese college freshmen, a systemic review and meta-analysis. Neurogastroenterol Motil. 2022;34(5):e14266. pmid:34585480
  58. 58. Gervacio GB, Sidell M, Li X, Young DR, Batech M, Qian L, et al. Health Status of Young Adults with Insurance Coverage Before and After Affordable Care Act Passage. Perm J. 2019;23:17–223. pmid:30939274
  59. 59. Pretorius C, Coyle D. Young People’s Use of Digital Tools to Support Their Mental Health During Covid-19 Restrictions. Front Digit Health. 2021;3:763876. pmid:34927133
  60. 60. Serhan CN, Savill J. Resolution of inflammation: the beginning programs the end. Nat Immunol. 2005;6(12):1191–7. pmid:16369558
  61. 61. Eusebi LH, Ratnakumaran R, Bazzoli F, Ford AC. Prevalence of Dyspepsia in Individuals With Gastroesophageal Reflux-Type Symptoms in the Community: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol. 2018;16(1):39-48.e1. pmid:28782675
  62. 62. Yuan L-Z, Yi P, Wang G-S, Tan S-Y, Huang G-M, Qi L-Z, et al. Lifestyle intervention for gastroesophageal reflux disease: a national multicenter survey of lifestyle factor effects on gastroesophageal reflux disease in China. Therap Adv Gastroenterol. 2019;12:1756284819877788. pmid:31598134
  63. 63. Bloom BS. The health care systems of the Scandinavian countries. Trans Stud Coll Physicians Phila. 1987;9(2):105–12. pmid:3617205
  64. 64. Farias L, Nyberg G, Helgadóttir B, Andermo S. Adolescents’ experiences of a school-based health promotion intervention in socioeconomically advantaged and disadvantaged areas in Sweden: a qualitative process evaluation study. BMC Public Health. 2023;23(1):1631. pmid:37626379
  65. 65. Dobrusin A, Hawa F, Montagano J, Walsh CX, Ellimoottil C, Gunaratnam NT. Patients With Gastrointestinal Conditions Consider Telehealth Equivalent to In-Person Care. Gastroenterology. 2023;164(1):156-158.e2. pmid:36206831
  66. 66. Thrift AP. Global burden and epidemiology of Barrett oesophagus and oesophageal cancer. Nat Rev Gastroenterol Hepatol. 2021;18(6):432–43. pmid:33603224
  67. 67. Frija G, Blažić I, Frush DP, Hierath M, Kawooya M, Donoso-Bach L, et al. How to improve access to medical imaging in low- and middle-income countries ?. EClinicalMedicine. 2021;38:101034. pmid:34337368