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REVIEW article

Front. Cardiovasc. Med., 04 December 2025

Sec. Cardiovascular Epidemiology and Prevention

Volume 12 - 2025 | https://doi.org/10.3389/fcvm.2025.1622801

Association between constipation and risk of coronary heart disease: a systematic review and meta-analysis of cohort studies

  • 1. Department of Gastroenterology, The Affiliated Hospital of Southwest Jiaotong University, The Third People’s Hospital of Chengdu, Chengdu, China

  • 2. Department of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People’s Hospital of Chengdu, Cardiovascular Disease Research Institute of Chengdu, Chengdu, China

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Abstract

Objective:

This systematic review and meta-analysis aimed to evaluate the association between constipation and risk of coronary heart disease (CHD).

Methods:

We systematically searched PubMed, Web of Science, and Cochrane Library until 28 February 2025. Published cohort studies reporting quantitative association measures for CHD in constipated vs. non-constipated individuals were included. The heterogeneity was assessed via the chi-square test based on Cochrane Q statistics. I2 > 50% or Q-test p < 0.05 indicated substantial heterogeneity, warranting random-effects modeling; otherwise, fixed-effects models were implemented. Subgroup evaluations were conducted for study design type, region, category of CHD, follow-up duration, and gender.

Results:

Nine studies involving 283,070 constipation cases and 3,343,120 controls were analyzed. Constipation was associated with a 10% increased CHD risk [hazard ratio (HR] = ).10, 95% confidence interval (CI): 1.05–1.15]. Statistical heterogeneity (I2 = 42.5%, p = 0.03) was observed in the present study. Subgroup analyses revealed a stronger association with myocardial infarction (HR = 1.14, 95% CI: 1.05–1.23). Notably, constipation showed no CHD risk elevation in women (HR = 1.04, 95% CI: 0.98–1.11), with reduced residual heterogeneity (I2 = 30.2%, p = 0.177).

Conclusion:

Our meta-analysis identified a significant positive association between constipation and CHD risk, particularly myocardial infarction. These findings suggest that constipation may either accelerate the pathological processes underlying CHD or that both conditions share common etiological pathways, warranting further mechanistic and interventional studies.

Introduction

Cardiovascular diseases (CVDs), particularly coronary heart disease (CHD), persist as the foremost contributor to global mortality. CHD continues to pose a critical public health challenge, with its burden escalating worldwide. Epidemiological surveillance reveals a sustained upward trajectory in CHD-related mortality since 1990, culminating in 9.14 million deaths and 197 million prevalent cases in 2019 (1). The Global Burden of Disease Study quantifies disease burden attributable to 88 modifiable risk factors. The results showed that key cardiovascular risk drivers include high blood pressure, dietary risks, high LDL cholesterol, air pollution, tobacco, high body mass index, high fasting plasma glucose, and kidney dysfunction among others (2). Emerging epidemiological evidence suggests that constipation may represent a novel modifiable risk factor for cardiovascular disease (36).

Constipation, with a global prevalence exceeding 10%, emerges as both a common clinical manifestation of gastrointestinal dysmotility and a significant public health priority worldwide (7). This condition manifests through suboptimal defecation experience, resulting from either reduced bowel movement frequency, straining during evacuation, incomplete rectal emptying, or the co-occurrence of colonic hypomotility and pelvic floor dyssynergia (8). A growing body of evidence has recently emerged examining the potential association between constipation and the risk of CHD. Although Ma et al. reported that increased frequency of bowel movements was positively associated with higher CHD risk, other studies have indicated a significant relationship between constipation and the development of CHD (3, 4, 9). Despite the increasing number of epidemiological studies on this topic, the nature and direction of the association between constipation and CHD risk remain inconsistent and subject to ongoing debate. This systematic review and meta-analysis were therefore conducted to quantitatively synthesize existing evidence regarding their association and evaluate the association between constipation and risk of CHD.

Methods

Search strategy

This systematic review and meta-analysis were executed in full compliance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting standards. The study protocol was prospectively registered with the International Prospective Register of Systematic Reviews (registration ID: CRD42024615729). A comprehensive literature search spanning PubMed, Web of Science, and the Cochrane Library was conducted through 28 February 2025 using the following Boolean search syntax: (“cardiovascular disease” OR “cardiovascular diseases” OR “CVD” OR “cardiovascular events” OR “heart disease” OR “heart diseases” OR “coronary artery disease” OR “coronary heart disease” OR “ischemic heart disease” OR “CHD” OR “myocardial infarction” OR “angina pectoris”) AND (“constipation” OR “bowel movement frequency”).

Inclusion criteria

Studies were eligible for inclusion if they met the following criteria: (1) peer-reviewed original research articles published in full text; (2) conducted in human populations; (3) studies defining constipation exposure through validated diagnostic criteria; (4) comparative design with constipated and non-constipated cohorts, reporting quantitative association measures [hazard ratio (HR), relative risk (RR), or odds ratio (OR)] with 95% confidence intervals (CIs), or providing sufficient data for their calculation.

Exclusion criteria

The following study types were systematically excluded during screening: (1) animal studies; (2) non-longitudinal study designs (cross-sectional analyses, case reports), gray literature (conference abstracts), and non-peer-reviewed materials (reviews, editorials); (3) non-English publications; (4) studies lacking extractable outcome metrics (risk ratios with 95% CIs or raw data for their computation).

Data abstraction and quality assessment

Dual-independent data extraction was performed by two investigators using a predefined extraction template, with discrepancies adjudicated through iterative discussion. In cases where multiple studies might have utilized the same registry or database, only one study per distinct cohort was retained to avoid double-counting. Extracted parameters encompassed: first author's name, publication year, country, study design, participants, definition of constipation, sample sizes in comparison groups, follow-up duration, and adjusted confounders. Methodological rigor was evaluated via the Newcastle-Ottawa Scale (NOS), employing its tripartite assessment framework: (1) cohort selection (0–4 points), (2) intergroup comparability (0–2 points), and (3) exposure ascertainment (0–3 points). Studies were stratified by total NOS scores (maximum 9 points), with higher scores denoting superior methodological quality.

Statistical analysis

For each study, we pooled effect estimates as the HR and their 95% confidence intervals (95% CIs). Logarithmic transformation was applied to HR values to calculate standard errors. Heterogeneity among studies was quantified via Cochran's Q statistic (chi-square test) and I2 index (percentage of total variation attributable to heterogeneity). A priori thresholds for heterogeneity interpretation were established: I2 > 50% or Q-test p < 0.05 indicated substantial heterogeneity, warranting random-effects modeling; otherwise, fixed-effects models were implemented. Galbraith radial plots identified outlier studies contributing to residual heterogeneity. To explore possible explanations for homogeneity and test the robustness of the association between constipation and risk of CHD, we preplanned subgroup analyses by study design type, region, category of CHD, follow-up duration, and gender. Meanwhile, we conducted sensitivity analyses based on leave-one-out iterative recalculation of pooled estimates. Funnel plot asymmetry was evaluated through Begg's rank correlation and Egger's weighted regression tests. A trim-and-fill non-parametric analysis of publication bias were used to address potential publication bias. All analyses were conducted in Stata 18.0 (Stata Corp, College Station, TX, USA) with two-tailed p < 0.05 defining statistical significance.

Results

Study characteristics

The systematic review initially retrieved 2,773 records from electronic databases. After title/abstract screening and eligibility assessment (Figure 1), nine studies comprising 283,070 constipation-affected participants and 3,343,120 non-constipated controls were ultimately included. During screening, we excluded three studies that provided only OR on constipation and CHD risk, which we thought would affect our inference of causality (1012). Heterogeneous diagnostic criteria for constipation across studies were systematically documented. Table 1 details the cohort characteristics of included investigations. The meta-analysis incorporated eight cohort studies and one nested case-control study, the latter included due to its unique exposure–outcome ascertainment framework (36, 9, 1316). Geographically, the studies comprised four US-based investigations, four from Asian nations, and one European cohort. Sex distribution analysis revealed seven studies with mixed-sex cohorts and two exclusively female populations. Methodological rigor was evaluated using the NOS, with all nine studies meeting the predefined quality threshold (NOS score ≥ 6). Comprehensive risk-of-bias assessments are shown in Table 2. In addition, Supplementary Table S1 describes a concise summary of the bias risk evaluations for all included studies.

Figure 1

Flowchart outlining the selection process for a meta-analysis. Identification: Database searches in PubMed (538), Web of Science (1597), and Cochrane Library (638). Screening: Duplicate records removed, excluding non-relevant categories. Eligibility: Full-text articles reviewed (96). Included: Nine articles in the meta-analysis.

Flow chart of selected articles.

Table 1

Study (first author) Year Country Study design Participants Definition of constipation Duration of follow-up (years) Number with constipation Number without constipation Adjustment for confounding variables
Salmoirago-Blotcher et al. 2011 USA Prospective cohort study Postmenopausal women Defined as “difficulty having bowel movements” over the previous 4 weeks, was rated using a scale ranging from none (did not occur), mild did not interfere with usual activities), moderate (interfered somewhat with usual activities), or severe (symptom was so bothersome that usual activities could not be performed) Median follow-up: 6.9 years Mild: 18,790
 Moderate: 5,391
Severe: 1,167
47,699 Adjustment for demographics, risk factors, dietary factors, medications, frailty and other psychological variables
Choung et al. 2016 USA Prospective, population-based nested case-control study Community residents Rome III criteria Four-year period 307 2020 Adjusted for age and gender
Honkura et al. 2016 Japan Prospective population-based study The subjects were all National Health Insurance beneficiaries, aged 40–79 years Defined as the defecation frequency groups: ≤1 time/4 days 13.3 years of follow-up 835 36,158 Adjusted for age, sex, body mass index, hypertension, diabetes mellitus, smoking status at baseline, alcohol consumption, education level, time spent walking per day, baseline job status, stress awareness, marital status, fruit and vegetable intake
Kubota et al. 2016 Japan Prospective cohort study Subjects aged 40–79 years, without a history of CVD or cancer Bowel movement once every 4 or more days 19 years of follow-up Men: 316
Women: 1,861
Men: 26,346
Women: 28,738
Adjusted for age, history of hypertension, history of diabetes, body mass index, alcohol intake, smoking status, depressive symptoms, perceived mental stress, walking, sports, energy-adjusted dietary fiber intake, living in urban areas and menopausal status for women
Ma et al. 2016 USA Prospective cohort study Women free from CVD and cancer Frequency of bowel movements: every 3–4 days or every 5 days or less Up to 30 years of follow-up Every 3–4 days: 6,348
Every 5 days or less: 1,067
54,264 Adjusted for age, ethnicity, menopausal status, smoking status, physical activity, family history of myocardial infarction, baseline history of hypertension, hypercholesterolemia, ulcerative colitis, cholecystectomy, use of multivitamin, aspirin, other nonsteroidal anti-inflammatory drugs, thiazide diuretics, thyroid hormone, alcohol intake, Alternate Healthy Eating Index score, dietary intake of total fiber, total energy intake, body mass index, and baseline history of diabetes
Sumida et al. 2019 USA Retrospective cohort study Veterans with an estimated glomerular filtration rate  ≥ 60 mL/min/1.73 m2 Defined as either having ≥2 prescriptions of laxatives of ≥30-day supply each, that were 60–365 days apart during the baseline period based on information obtained from VA Pharmacy dispensation records; or having at least two diagnoses for constipation, as identified by the ICD-9-CM, that were ≥60 days apart Median follow-up of 6.7 years 237,855 3,121,798 Multivariable adjustments for demographics, prevalent comorbidities, medications, and socioeconomic status
Sundbøll et al. 2020 Denmark Population-based matched cohort study Constipated patients in contact with the healthcare system-excluded patients with a previous or concurrent inpatient or outpatient diagnosis of any of the study outcomes Diagnosed according to the International Classification of Diseases, Eighth Revision (ICD-8) through 1993 and 10th Revision (ICD-10) thereafter 10 years of follow-up 83,239 832,384 Controlled for matching factors (age, sex, and calendar year) and adjusted for hypothyroidism, hyperthyroidism, pregnancy within 90 days before the index date, depression, Parkinson's disease, multiple sclerosis, colon, rectal and anal cancer, other gastrointestinal cancers, Crohn's disease, ulcerative colitis, paralytic ileus, chronic pulmonary disease, valvular heart disease, diabetes mellitus, hypertension, hypercholesterolemia, obesity, chronic kidney disease, liver disease, alcoholism-related disorders, medications associated with constipation, and cardiovascular drugs
Yang et al. 2020 China Population-based prospective cohort study Without cancer, heart disease or stroke at baseline Frequency of bowel movements: less than three times a week A median of 10 years 21,148 373,054 Adjusted for sex; level of education; occupation; household income; marital status; family history of certain diseases; smoking status; total physical activity level; alcohol consumption; intake frequency of fresh vegetables, fresh fruit and red meat; BMI; waist circumference; prevalent hypertension, and diabetes at baseline
Park et al. 2025 Republic of Korea Retrospective cohort study Patients undergoing maintenance hemodialysis Using the total number of prescribed laxatives ≥180 during the 1-year baseline period A median follow-up of 5.4 years 9,133 26,097 Adjusted for age, sex, dialysis vintage, comorbidities (diabetes mellitus, hypertension, ischemic heart disease, congestive heart failure, cerebrovascular disease, atrial fibrillation or flutter, and malignancy)

Characteristics of included studies in the meta-analysis.

Table 2

Study Selection Comparability Exposure
Adequate definition of cases Representativeness of the cases Selection of controls Definition of controls Control for important factora Ascertainment of exposure Same method of ascertainment for cases and controls Non-response rate
Salmoirago-Blotcher et al. ★★
Choung et al. ★☆
Honkura et al. ★★
Kubota et al. ★☆
Ma et al. ★★
Sumida et al. ★☆
Sundbøll et al. ★★
Yang et al. ★☆
Park et al. ★☆

Results of the quality of studies in meta-analysis using the NOS.

a

A maximum of two stars can be allotted in this category, one for age, the other for other controlled factors.

Constipation and risk of CHD

Figure 2 presents the multivariable-adjusted hazard ratios (HRs) for CHD risk associated with constipation across included studies. Pooled analysis demonstrated a statistically significant 10% increased CHD risk among constipated participants vs. controls (HR=1.10, 95% CI: 1.05–1.15). Three studies reporting solely ORs were excluded from primary analysis due to the inherent limitations of ORs in causal inference. However, a meta-analysis incorporating these OR-based and HR-based studies (total N = 12) demonstrated strengthened pooled effect estimates for the constipation–CHD risk association (OR=1.12 vs. 1.10 in primary analysis), suggesting potential underestimation in our original model (Supplementary Figure S1). Moderate heterogeneity was detected (I2 = 42.5%, p = 0.03), with Galbraith plot analysis identifying potential outlier studies contributing to between-study variation (Figure 7A). To evaluate potential study design effects, we performed subgroup analyses stratified by study type. Cohort studies demonstrated a robust association between constipation and elevated CHD risk (HR=1.09, 95% CI: 1.04–1.14), as illustrated in Figure 3A. Geographic subgroup analyses revealed significantly elevated CHD risk associated with constipation across all regions: Americas (HR=1.09, 95% CI: 1.02–1.16), Asia (HR=1.07, 95% CI: 1.02–1.12), and Europe (HR=1.24, 95% CI: 1.14–1.34), as shown in Figure 3B.

Figure 2

Forest plot showing hazard ratios from included studies assessing the association between constipation and CHD risk. The plot includes findings by authors such as Salmoirago-Blotcher and Choung
from 2011 to 2025. Each study displays a hazard ratio with a confidence interval, depicted with diamonds and error bars.The overall effect size is shown at the bottom. Weights are from a random-effects model.

Forest plot of the meta-analysis of included studies assessing the association between constipation and CHD risk.

Figure 3

Forest plot showing hazard ratios and confidence intervals for subgroup analyses based on different study design and different regions. The graph compares subgroup analyses and displays weights and heterogeneity statistics for each study. The overall hazard ratio is 1.10 with a 95% confidence interval of 1.05 to 1.15, indicating modest statistical significance. Each study includes a corresponding percentage weight and confidence interval, visually represented with diamond markers and error bars indicating variability and precision of estimates.

(A) Forest plots of subgroup studies regarding the association between constipation and CHD risk based on different study design; (B) forest plots of subgroup studies regarding the association between constipation and CHD risk in different regions.

Coronary artery obstruction represents only one component in the multifactorial pathogenesis of ischemic heart disease, yet most prior studies have not rigorously differentiated ischemic heart disease from CHD terminologically (17). Accordingly, we adopted an operational classification strategy that aligned subgroup definitions with the specific nomenclature used by the original investigators. Subgroup analysis by CHD category demonstrated a significant association between constipation and myocardial infarction risk (HR=1.14, 95% CI: 1.05–1.23). No significant associations were observed for angina pectoris, ischemic heart disease, or coronary heart disease (Figure 4A). Given the substantial reduction in heterogeneity (I2 < 25%) within the ischemic heart disease subgroup, we performed additional fixed-effect meta-analysis. This analysis confirmed a significant constipation–ischemic heart disease association (HR=1.07, 95% CI: 1.02–1.12), as detailed in Supplementary Figure S2. Stratified by follow-up duration, constipated individuals with <10 years of follow-up demonstrated significantly elevated CHD risk (HR=1.11, 95% CI: 1.05–1.16), whereas no statistically significant association emerged in cohorts with ≥10 years of surveillance (HR=1.08, 95% CI: 0.97–1.19) (Figure 4B). Given the sex-specific design of included studies, we conducted sex-stratified analyses evaluating constipation–CHD associations. The female-specific analysis revealed a non-significant association (HR=1.04, 95% CI: 0.98–1.11) with reduced residual heterogeneity (I2 = 30.2%, p = 0.177), as detailed in Figure 5A. Of the nine cohort studies included in the analysis, only one provided sex-stratified risk estimates specific to male patients, which precluded a meaningful subgroup analysis for this population. Recognizing that heterogeneous definitions of constipation could introduce substantial variability into the pooled estimates, we performed a subgroup analysis stratified by the specific diagnostic criteria used to define constipation across the included studies (Figure 5B). Our results showed that patients diagnosed with constipation according to self-reported constipation (via validated questionnaires or patient interviews), Rome III criteria, and ICD criteria have a significantly increased risk of CHD (HR=1.08, 95% CI: 1.01–1.16; HR=1.42, 95% CI: 1.14–1.69; HR=1.16, 95% CI: 1.04–1.29). In the subgroup diagnosed with constipation according to frequency criteria, although heterogeneity was significantly reduced, constipation was not observed to increase CHD risk (HR=1.04, 95% CI: 0.98–1.11).

Figure 4

Forest plot depicting hazard ratios and confidence intervals for various cardiovascular conditions and durations of follow-up. The left panel categorizes by heart disease type, while the right panel categorizes by follow-up duration. Each entry shows a study, year, hazard ratio with 95% confidence interval, and percentage weight. Overall heterogeneity statistics and subgroup details are provided.

(A) Forest plots of subgroup studies regarding the association between constipation and CHD risk based on classification of diseases; (B) forest plots of subgroup studies regarding the association between constipation and CHD risk based on follow-up duration.

Figure 5

Forest plot showing hazard ratios and confidence intervals for subgroup analyses based on gender and the definition of constipation. Each study's hazard ratio and confidence intervals are visually depicted with diamonds and lines. Subgroup analyses and overall heterogeneity are summarized with statistical metrics. A central red dashed line represents a hazard ratio of one.

(A) Forest plots of subgroup studies regarding the association between constipation and CHD risk based on gender; (B) forest plots of subgroup studies regarding the association between constipation and CHD risk based on the definition of constipation.

Sensitivity analysis and publication bias

Sensitivity analysis using leave-one-out iteration demonstrated robustness of the constipation–CHD association, with all recalculated pooled estimates remaining statistically significant (HR range=1.04–1.17) (Figure 6). This consistency confirms the stability of our meta-analytic findings. To address potential publication bias, we implemented a three-tiered assessment protocol: (1) visual inspection of funnel plot asymmetry, (2) Begg's rank correlation test, and (3) Egger's weighted regression test. Although there was no statistical evidence of publication bias using Egger's test (p = 0.340) (Figure 7B) and Begg's test (p = 0.343) (Figure 7C), initial funnel plot asymmetry prompted non-parametric trim-and-fill analysis. This method estimates the number of theoretically missing studies required to achieve funnel plot symmetry, incorporating five imputed studies in our analysis (Figure 7D). The adjusted model maintained statistical significance, showing an 8% elevated CHD risk in constipated individuals (HR=1.08, 95% CI: 1.03–1.14).

Figure 6

Forest plot lists omitted studies with corresponding odds ratios and p-values, displayed as a forest plot. All hazard ratios are close to 1.10, with significant p-values of 0.000, indicating statistical significance. All analyzed using a random-effects DerSimonian–Laird model.

Sensitivity analysis of the included studies.

Figure 7

Panel A shows a Galbraith plot with standardized hazard ratios versus precision, including regression and no effect lines. Panel B features Egger's publication bias plot displaying standardized effect against precision. Panel C presents Begg's funnel plot with pseudo 95% confidence limits outlining effect size against standard error. Panel D illustrates a funnel plot with hazard ratio versus standard error, highlighting observed and imputed studies with pseudo confidence intervals.

(A) The Galbraith plot regarding the primary source of heterogeneity; (B) evaluation of publication bias using Egger's test; (C) evaluation of publication bias using Begg's funnel plot; (D) adjusted funnel plot based on the non-parametric trim-and-fill analysis of publication bias.

Discussion

Our meta-analysis incorporating nine cohort studies demonstrated a consistent risk elevation for CHD among constipation patients (HR=1.10, 95% CI: 1.05–1.15). Geographically stratified analyses revealed comparable effect magnitudes across regions: Americas, Asia, and Europe. Disease-stratified analysis revealed differential associations: myocardial infarction exhibited heightened susceptibility (HR=1.14, 95% CI: 1.05–1.23), whereas angina pectoris showed no statistically significant relationship. Notably, sex-specific effects emerged, with null association observed in female subgroups (HR=1.04, 95% CI: 0.98–1.11).

CHD constitutes the predominant etiology of cardiovascular mortality across both genders, accounting for >50% of total cardiovascular disease burden (18). CHD arises from progressive atherosclerotic transformation of the coronary vasculature, pathologically characterized by endothelial barrier compromise, chronic inflammatory infiltrates, and focal accumulation of lipid-rich macrophage foam cells. Structural instability in high-risk plaques precipitates fibrous cap fissure, initiating platelet-rich thrombus formation and subsequent acute coronary syndrome manifestations (19). The pathophysiology of CHD has undergone a remarkable evolution over the past decade. Formerly characterized as a passive cholesterol accumulation disorder, contemporary models delineate atherogenesis as a complex interaction of risk factors including cells of the artery wall and the blood and molecular messages that they exchange (20). Modern clinical evidence establishes CHD as a preventable disease, where pre-emptive screening coupled with risk-tailored interventions demonstrates significant prognostic benefits, across both established patients and asymptomatic high-risk populations (21). At present, the traditional risk factors of CHD, such as hypertension, diabetes, hyperlipidemia, behavior (tobacco use, physical inactivity), and diet (excessive sodium intake, sugar-sweetened beverage consumption), have been widely concerned (22). Our meta-analysis demonstrated a 10% elevated risk of CHD events among individuals with constipation compared to non-constipated controls, providing epidemiological evidence supporting constipation as a modifiable risk determinant in cardiovascular prevention frameworks. To our knowledge, our study is the first systematic review and meta-analysis to examine the association between constipation and CHD risk.

Constipation represents a prevalent gastrointestinal disorder encountered in clinical settings across Western nations, with epidemiological studies estimating a global prevalence in the range of 12%–19% (23). Constipation is more frequent in North America and Europe compared to Asia, probably attributed to variations in cultural practices, dietary patterns, and environmental exposures (24). Based on colonic transit, it can be categorized into three subtypes: normal colonic transit, rectal evacuation disorders, and slow colonic constipation (25). The multifactorial pathophysiology of constipation complicates precise alignment of causative factors with these subtypes.

The exact mechanism behind the increased risk of CHD observed in patients with constipation in our study is still unclear, and we speculate that it may be mediated through multiple pathways. First, the gut–heart axis, which serves as a pivotal bidirectional communication axis between the gut and the heart, may play an important role in the connection between constipation and CHD (26). Intestinal changes, such as dysbiosis and altered permeability of the epithelial barrier, have been observed in patients with constipation (27). Emerging evidence delineates compromised intestinal barrier integrity, dysregulated microbial communities, and microbiota-derived bioactive metabolites as pivotal mediators contribute to the occurrence and development of CHD via the gut–heart axis pathway (26). The gut microbiota promotes the development of atherosclerosis by producing intermediate metabolites, including trimethylamine-N-oxide (TMAO), endotoxin and phenylacetyl glutamine, and reducing butyrate (28). The most compelling evidence that links gut microbiota and CAD is related to microbial metabolism of dietary factors such as carnitine and choline. The source of TMAO is trimethylamine, which is produced by the gut microbiota from nutrients containing L-carnitine or phosphatidylcholine, and subsequently oxidized to TMAO by hepatic flavin-containing monooxygenases (2931). Current evidence underscores that TMAO precursors drive foam cell formation and atherosclerotic plaque progression, while TMAO itself induces dysregulation of cholesterol homeostasis, elicits proinflammatory responses, oxidative stress, and endothelial activation—collectively synergizing to advance CHD pathogenesis (26, 30). Second, constipation contributes to sustained hypertension through psychogenic stress, enhanced colonic water absorption, and gut dysbiosis-induced neuroinflammatory signaling (11, 32). During defecation, constipation can often cause straining, during which patients may breathe in a strained manner similar to the Valsalva maneuver (33). This may induce transient blood pressure elevation, potentially precipitating acute coronary syndrome events. Third, constipated patients have upregulated biosynthesis and release of serotonin, a vasoconstrictor that promotes thrombus formation and is related to the development of atherosclerotic plaques and elevated risks of CHD (3436).

Notably, our meta-analysis revealed no significant association between constipation and CHD risk in female participants, a finding warranting further mechanistic exploration. We hypothesized that pathophysiological mechanisms intrinsic to the predominant constipation phenotype in women underpin this observation. As previously noted, constipation exhibits three distinct phenotypes, with women being more likely to be affected by functional defecatory disorders than men (37). Among women, dyssynergic defecation is the most prevalent subtype and isolated slow transit constipation is uncommon (38). We postulate that accelerated colonic transit in dyssynergic defecation may reduce microbial fermentation time, thereby mitigating gut dysbiosis, compared to slow transit constipation. This diminished dysbiosis could attenuate the constipation–CHD association in women by reducing pathogenic microbial metabolite production (e.g., TMAO) and associated endothelial dysfunction. Subgroup analysis by classification of diseases revealed no significant constipation–CHD risk associations in angina pectoris or CHD subgroups, potentially attributed to sex distribution imbalances (female predominance) within these populations. We also did not observe an increased CHD risk for constipation in the subgroup diagnosed with constipation according to frequency criteria. Unlike definitions based on self-report, Rome III, or ICD codes, which often incorporate symptoms of straining, incomplete evacuation, or hard stools, a frequency-based definition likely identifies a more heterogeneous population. This group may include individuals with transient, diet-related, or behavioral bowel patterns who do not share the underlying autonomic dysregulation, chronic inflammation, or gut microbiome alterations associated with long-term, pathophysiologically significant constipation. Consequently, while frequency-based criteria may reduce heterogeneity by providing an objective measure, they might also dilute the effect by including many individuals without the persistent gut dysfunction that potentially drives CHD risk. In addition, a subgroup with ≥10 years of follow-up showed no significant association between constipation and CHD risk. This null finding may reflect residual confounding from sex-specific factors, laxative exposure duration, and age-related comorbidities.

This meta-analysis has several limitations that require cautious interpretation. First, statistical heterogeneity was observed (I2 = 42.5%, p = 0.03), potentially attributable to be factors such as region, disease classification, follow-up time, gender, diet, and medication use. Subgroup analyses based on gender and region showed reduced heterogeneity, confirming these factors as potential confounders. Second, the limited number of studies in subgroup analyses by disease classification means that further research is needed to validate the association between constipation and different CHD subtypes. Third, due to an insufficient number of studies, a formal dose–response analysis between bowel movement frequency categories and CHD risk could not be performed. Fourth, sex-specific subgroup studies are limited, and we did not analyze constipation and CHD risks in men, highlighting the need for future prospective studies with pre-specified sex-stratified analyses.

Conclusion

Our meta-analysis demonstrated a significant positive association between constipation and CHD risk (OR=1.10, 95% CI: 1.05–1.15). Further subgroup analysis found that patients with constipation had a 14% higher risk of myocardial infarction compared to non-constipated individuals. These findings suggest that constipation may either accelerate the pathological processes underlying CHD or that both conditions share common etiological pathways. Future studies are warranted to investigate the risk of CHD in patients with constipation and to explore the factors driving this association, in order to confirm and expand upon these results.

Statements

Author contributions

FT: Formal analysis, Methodology, Data curation, Project administration, Conceptualization, Writing – original draft, Writing – review & editing. TZ: Software, Visualization, Investigation, Writing – review & editing, Resources, Project administration, Writing – original draft, Validation, Methodology. PD: Investigation, Writing – review & editing, Project administration, Data curation. KS: Writing – review & editing, Data curation, Project administration. XS: Resources, Funding acquisition, Writing – review & editing, Supervision, Conceptualization. QW: Writing – review & editing, Formal analysis, Conceptualization, Methodology, Supervision, Funding acquisition.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Acknowledgments

The authors appreciate all staff in the Department of Gastroenterology in the Third People's Hospital of Chengdu.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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Supplementary material

The supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcvm.2025.1622801/full#supplementary-material

Supplementary Figure S1

Forest plot of meta-analysis showing the association between constipation and CHD risk (includes three studies reporting only OR for constipation and CHD risk).

Supplementary Figure S2

Forest plots of subgroup analyses showing the association between constipation and CHD risk by disease classification (fixed-effect models).

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Summary

Keywords

constipation, coronary heart disease, myocardial infarction, cohort studies, meta-analysis

Citation

Tang F, Zhao T, Dong P, Sun K, Sun X and Wang Q (2025) Association between constipation and risk of coronary heart disease: a systematic review and meta-analysis of cohort studies. Front. Cardiovasc. Med. 12:1622801. doi: 10.3389/fcvm.2025.1622801

Received

04 May 2025

Revised

04 November 2025

Accepted

17 November 2025

Published

04 December 2025

Volume

12 - 2025

Edited by

Ping Li, Second Affiliated Hospital of Nanchang University, China

Reviewed by

Almagul Kushugulova, Nazarbayev University, Kazakhstan

Xiaodan Lu, The People’s Hospital of Jilin Province, China

Updates

Copyright

* Correspondence: Xiaobin Sun Qiong Wang

†These authors have contributed equally to this work and share first authorship

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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