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Journal of Pain Research logoLink to Journal of Pain Research
. 2026 Feb 17;19:555970. doi: 10.2147/JPR.S555970

Patterns of Comorbidity Between Chronic Pain and Chronic Diseases in US Adults: A Cross-Sectional Analysis of NHANES Data

Wei Yang 1, Shunli Cai 1,2, Xuesong Chen 2, Yan Dong 2,3, Fusong Yang 2, Hua Yang 4, Rong Wang 5, Chao Song 2,*, Guozhong Zhou 6,*,
PMCID: PMC12927725  PMID: 41737305

Abstract

Background

With the global population ageing rapidly, the combined health burden of chronic pain and chronic diseases is increasingly evident. Despite this, significant gaps remain in understanding the interrelationship between these factors.

Objective

This study aimed to examine the associations between chronic pain and a range of chronic diseases in a nationally representative sample of US adults.

Study Design

A cross-sectional analysis was performed using data from the National Health and Nutrition Examination Survey (NHANES).

Methods

Data from four NHANES cycles (1999–2004, 2009–2010) were analyzed, including 7,135 adults aged 20 years and older. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between chronic pain and each chronic disease, adjusting for sociodemographic, lifestyle, medication use, and anthropometric factors.

Results

A significant comorbidity risk was identified between chronic pain and multiple chronic diseases, with the strongest associations observed for arthritis (OR = 3.07, 95% CI: 2.71–3.48), renal failure (OR = 1.85, 95% CI: 1.36–2.51), liver disease (OR = 1.77, 95% CI: 1.37–2.29), and congestive heart failure (OR = 1.72, 95% CI: 1.24–2.40). Additionally, smoking (OR = 1.83, 95% CI: 1.66–2.02), prescription medication use (OR = 2.33, 95% CI: 2.10–2.58), and widowhood (OR = 2.13, 95% CI: 1.72–2.65) were also significant risk factors for chronic pain. Subgroup analyses of chronic conditions comorbid with chronic pain further explored the influence of specific factors.

Conclusion

Chronic pain, as a comorbid factor, should be integrated into the management of chronic diseases. Clinical practice should prioritize synergistic prevention strategies, such as smoking cessation interventions, to reduce both pain and comorbidity risks. To better understand the causal relationships between chronic pain and chronic diseases, future studies should focus on longitudinal designs and include objective pain measures, such as biomarkers.

Keywords: chronic pain, chronic disease, comorbidity, NHANES, epidemiology

Introduction

Chronic pain is clinically defined as persistent pain extending beyond expected tissue healing, typically ≥3 months in duration.1 Recognized as a distinct clinical entity—not merely a symptom—it is codified within established diagnostic classifications.2 In the United States, 50 million adults experience chronic pain, resulting in significant healthcare expenditures and lost productivity.3,4 This high prevalence and substantial societal burden underscore the critical importance of investigating the correlates and outcomes of chronic pain specifically within the US population.

Critically, chronic pain rarely manifests in isolation. It consistently presents with major psychological comorbidities, including anxiety disorders, major depressive episodes, and chronic sleep disturbances.5 Neurobehavioral sequelae—notably cognitive impairment and personality alterations—further contribute to functional decline.6 Collectively, these manifestations elevate risks of premature mortality, including suicidality.7

Beyond psychological sequelae, chronic pain demonstrates strong syndemic relationships with physical comorbidities.8 Robust epidemiological evidence associates it with arthritis, cardiovascular disease, and diabetes mellitus, particularly in geriatric populations.9 This clinically significant multimorbidity correlates with reduced quality of life and elevated all-cause mortality.9 Despite this substantial evidence, current comorbidity research remains siloed, predominantly examining isolated somatic conditions or singular mental health disorders.10–12 A critical knowledge gap persists regarding integrated analyses of pain-disease interactions.

Amidst rapid global population aging, the synergistic burden of chronic pain and comorbid disease necessitates urgent scholarly attention. Addressing this requires systematic investigation of mechanistic pathways and population-level disease interactions. The US National Health and Nutrition Examination Survey (NHANES) is a nationally representative, methodologically rigorous database, and this study utilized multistage statistical modeling to quantify patterns of co-morbidity between chronic pain and prevalent somatic diseases (coronary artery disease, diabetes mellitus, and hypertension) and to identify demographic and clinical risk factors for multimorbidity coexistence. Finally, to further explore the relationship between chronic pain and various chronic diseases (such as arthritis, diabetes, cardiovascular diseases, etc.), this study conducted subgroup analyses. By stratifying the sample according to variables such as age, sex, race, educational level, and body mass index (BMI), we aimed to reveal how these factors modulate the association between chronic pain and comorbid conditions.

Methods

Study Population

This study utilized four NHANES cycles (1999–2004, 2009–2010) with comprehensive data on chronic pain, hypertension, diabetes, and arthritis. Conducted by CDC’s National Center for Health Statistics (NCHS), NHANES assesses health and nutritional status in noninstitutionalized US residents.13 Data collection encompassed structured interviews, telephone follow-ups, mobile examination center screenings, and laboratory analyses.14 All protocols received NCHS Research Ethics Review Board approval with participant informed consent. Data are publicly accessible at https://www.cdc.gov/nchs/nhanes/.15

Definition of Chronic Pain

While subtyping chronic pain could yield more granular insights, such an approach was precluded in this study due to inconsistencies in chronic pain measurements across different cycles of the NHANES database. Consequently, our analysis was based on chronic pain data from four specific survey cycles: 1999–2000, 2001–2002, 2003–2004, and 2009–2010. Chronic pain was defined as persistent or recurrent pain lasting more than three months. Pain status was determined using two items from the NHANES Miscellaneous Pain Questionnaire. The first, MPQ110, asked, “How long have you experienced this pain?” A response of three months or longer was classified as chronic pain, while a response of less than three months indicated non-chronic pain. The second, MPQ100, asked, “In the past month, have you had problems with pain lasting more than 24 hours?” An affirmative response also classified the participant as having chronic pain.16 Participants with missing responses, “don’t know” answers, or incomplete data for either item were excluded from the analysis.

Definition of Chronic Diseases

This study focuses on examining the comorbid associations between chronic pain and chronic diseases. Within the survey cycles that contained complete chronic pain data, we extracted information on chronic diseases as comprehensively as possible. Ultimately, a total of 13 chronic conditions were included for analysis: hypertension, diabetes, asthma, congestive heart failure, coronary heart disease, arthritis, stroke, emphysema, chronic bronchitis, renal failure, liver disease, cancer, and angina. Several other common chronic conditions (such as Alzheimer’s disease, epilepsy, depression, and insomnia) were excluded from the study due to incomplete data or insufficient sample sizes across the four selected survey cycles. The definitions of the chronic conditions are as follows. Hypertension was defined as an average systolic blood pressure of ≥140 mmHg or diastolic blood pressure of ≥90 mmHg, based on four measurements. Readings below these thresholds were classified as non-hypertensive.17 Diabetes was assessed using item DIQ010, which asked, “Did your doctor tell you that you have diabetes?” A “yes” response indicated diabetes, while a “no” response indicated non-diabetes. Responses such as “borderline,” “refused,” or “don’t know” were excluded. Asthma, congestive heart failure, coronary heart disease, arthritis, stroke, emphysema, chronic bronchitis, renal failure, liver disease, cancer, and angina were identified through self-reported physician diagnoses based on the question, “Have you been told you have chronic diseases?” A positive response indicated the presence of disease; a negative response indicated its absence. Participants with missing or uncertain responses were excluded.

Covariate

This study incorporated multiple covariates across three domains: sociodemographic (age, gender, race/ethnicity, education, income and marital status), lifestyle (smoking status and activity patterns), anthropometric (BMI) factors and prescription medication use. Race/ethnicity classifications included non-Hispanic White, non-Hispanic Black, Mexican American, other Hispanic, and other racial groups. Educational attainment was stratified into: <9 years, 9–12 years, high school diploma, college degree, and postgraduate education. Income levels were determined by poverty-to-income ratio (PIR): low (<1), moderate (1–3), and high (>3). Marital status was classified into six states: married, widowed, divorced, separated, never married, and living with partner. Activity patterns were categorized into three types: sedentary, moderate exercise, and vigorous exercise. BMI categories followed standard classifications: underweight (<18.5), normal weight (18.5–24.9), overweight (25–29.9), and obese (≥30). Smoking status differentiated never-smokers (<100 lifetime cigarettes) from ever-smokers (≥100 cigarettes).18,19

Statistical Analysis

Statistical analysis was conducted using R version 4.4.2, incorporating NHANES–recommended weighting and stratification. Continuous variables are presented as mean ± SD and categorical variables as frequencies (%). Group comparisons employed t-tests for continuous variables and chi-square test for categorical variables. We evaluated chronic disease-chronic pain associations using logistic regression in three models: unadjusted (Model I), adjusted for demographics (gender/age/race; Model II), and fully adjusted (Model III). We identified chronic pain risk factors through additional logistic regression. Finally, we performed subgroup analyses for those chronic diseases that showed a significant association with chronic pain.

Results

Participants

This study analyzed data from four NHANES cycles (1999–2004, 2009–2010), initially comprising 47086 participants. Since the chronic pain survey in the database targeted only individuals aged 20 years or older, we excluded 25536 individuals aged <20 years (NHANES pain survey threshold), followed by 1,112 with missing chronic pain data, 3,495 with incomplete covariates, and 9,808 with invalid/missing data. The final analytical sample included 7,135 participants (2543 with chronic pain; 4592 without chronic pain). Figure 1 details the complete selection process.

Figure 1.

Figure 1

Participant inclusion exclusion flowchart.

Baseline Characteristics

Table 1 presents the baseline characteristics of the 7,35 study participants, comprising 2543 (35.6%) with chronic pain and 4592 (64.4%) without chronic pain. The cohort had a mean age of 45.43 ± 15.85 years, with near-equal gender distribution (46.35% male, 53.65% female). Non-Hispanic White participants represented the largest racial group (50.86%). Significant between-group differences (P<0.05) were observed for gender, age, race, education level, household poverty-to-income ratios, BMI, sedentary, prescription medication use marital status and smoking status, while vigorous exercise and moderate exercise showed no significant variation (P>0.05). Complete demographic details are provided in Table 1.

Table 1.

Characteristics of NHANES Participants, 1999–2004 and 2009–2010

Variables Total (n = 7135) Chronic Pain P-value
Yes (n = 2543) No (n = 4592)
Age, Mean ± SD 45.43 ± 15.50 49.47 ± 15.85 43.20 ± 14.84 <0.001
Gender, n (%) <0.001
 Male 3307 (46.35) 1099 (43.22) 2208 (48.08)
 Female 3828 (53.65) 1444 (56.78) 2384 (51.92)
Race, n (%) <0.001
 Mexican American 1296 (18.16) 377 (14.83) 919 (20.01)
 Other Hispanic 562 (7.88) 127 (4.99) 435 (9.47)
 Non-Hispanic White 3629 (50.86) 1503 (59.10) 2126 (46.30)
 Non-Hispanic Black 1311 (18.37) 443 (17.42) 868 (18.90)
 Other Race 337 (4.72) 93 (3.66) 244 (5.31)
PIR, n (%) 0.015
 <1 1604 (22.48) 608 (23.91) 996 (21.69)
 1–3 2891 (40.52) 1046 (41.13) 1845 (40.18)
 >3 2640 (37.00) 889 (34.96) 1751 (38.13)
Education, n (%) <0.001
 Less Than 9th Grade 776 (10.88) 288 (11.33) 488 (10.63)
 9–11th Grade 1141 (15.99) 441 (17.34) 700 (15.24)
 High School Grad 1709 (23.95) 663 (26.07) 1046 (22.78)
 Some College 2076 (29.10) 772 (30.36) 1304 (28.40)
 College Graduate or above 1433 (20.08) 379 (14.90) 1054 (22.95)
BMI, n (%) 0.002
 <18.5 120 (1.68) 44 (1.73) 76 (1.66)
 18.5–24.9 1920 (26.91) 620 (24.38) 1300 (28.31)
 ≥30 2721 (38.14) 1029 (40.46) 1692 (36.85)
 25.0–29.9 2374 (33.27) 850 (33.43) 1524 (33.19)
Vigorous exercise, n (%) 0.449
 Yes 1728 (24.22) 629 (24.73) 1099 (23.93)
 No 5407 (75.78) 1914 (75.27) 3493 (76.07)
Moderate exercise, n (%) 0.457
 Yes 3039 (42.59) 1098 (43.18) 1941 (42.27)
 No 4096 (57.41) 1445 (56.82) 2651 (57.73)
Sedentary, n (%) 0.009
 Yes 6144 (86.11) 2153 (84.66) 3991 (86.91)
 No 991 (13.89) 390 (15.34) 601 (13.09)
Smoke, n (%) <0.001
 Yes 3505 (49.12) 1495 (58.79) 2010 (43.77)
 No 3630 (50.88) 1048 (41.21) 2582 (56.23)
Prescription Medication Use, n (%) <0.001
 Yes 4148 (58.14) 1802 (70.86) 2346 (51.09)
 No 2987 (41.86) 741 (29.14) 2246 (48.91)
Marital Status, n (%) <0.001
 Married 3805 (53.33) 1380 (54.27) 2425 (52.81)
 Widowed 361 (5.06) 198 (7.79) 163 (3.55)
 Divorced 819 (11.48) 345 (13.57) 474 (10.32)
 Separated 278 (3.90) 97 (3.81) 181 (3.94)
 Never married 1283 (17.98) 321 (12.62) 962 (20.95)
 Living with partner 589 (8.26) 202 (7.94) 387 (8.43)

Note: Data are shown as mean ± SD and n (%).

Abbreviations: SD, standard deviation; PIR, Poverty income ratio; BMI, body mass index; NHANES, National Health and Nutrition Examination Survey.

Co-morbid Features of Chronic Pain and Chronic Diseases

Table 2 presents chronic disease comorbidities among participants with chronic pain. All between-group differences reached statistical significance (P<0.05). Among the 2543 chronic pain patients, prevalent comorbidities included arthritis (47.42%), hypertension (20.21%), asthma (17.81%), diabetes (12.98%), and cancer (11.25%). Complete comorbidity data are presented in Table 2.

Table 2.

Co-Morbid Characteristics of Chronic Pain and Chronic Diseases

Variables Total (n = 7135) Chronic Pain P-value
Yes (n = 2543) No (n = 4592)
Hypertension, n (%) <0.001
 Yes 1173 (16.44) 514 (20.21) 659 (14.35)
 No 5962 (83.56) 2029 (79.79) 3933 (85.65)
Asthma, n (%) <0.001
 Yes 1055 (14.79) 453 (17.81) 602 (13.11)
 No 6080 (85.21) 2090 (82.19) 3990 (86.89)
Arthritis, n (%) <0.001
 Yes 2008 (28.14) 1206 (47.42) 802 (17.47)
 No 5127 (71.86) 1337 (52.58) 3790 (82.53)
Congestive heart failure, n (%) <0.001
 Yes 173 (2.42) 111 (4.36) 62 (1.35)
 No 6962 (97.58) 2432 (95.64) 4530 (98.65)
Coronary heart disease, n (%) <0.001
 Yes 261 (3.66) 152 (5.98) 109 (2.37)
 No 6874 (96.34) 2391 (94.02) 4483 (97.63)
Angina, n (%) <0.001
 Yes 227 (3.18) 152 (5.98) 75 (1.63)
 No 6908 (96.82) 2391 (94.02) 4517 (98.37)
Stroke, n (%) <0.001
 Yes 210 (2.94) 108 (4.25) 102 (2.22)
 No 6925 (97.06) 2435 (95.75) 4490 (97.78)
Emphysema, n (%) <0.001
 Yes 144 (2.02) 91 (3.58) 53 (1.15)
 No 6991 (97.98) 2452 (96.42) 4539 (98.85)
Chronic bronchitis, n (%) <0.001
 Yes 492 (6.90) 274 (10.77) 218 (4.75)
 No 6643 (93.10) 2269 (89.23) 4374 (95.25)
Liver disease, n (%) <0.001
 Yes 270 (3.78) 147 (5.78) 123 (2.68)
 No 6865 (96.22) 2396 (94.22) 4469 (97.32)
Cancer, n (%) <0.001
 Yes 573 (8.03) 286 (11.25) 287 (6.25)
 No 6562 (91.97) 2257 (88.75) 4305 (93.75)
Diabetes, n (%) <0.001
 Yes 731 (10.25) 330 (12.98) 401 (8.73)
 No 6404 (89.75) 2213 (87.02) 4191 (91.27)
Renal failure, n (%) <0.001
 Yes 190 (2.66) 109 (4.29) 81 (1.76)
 No 6945 (97.34) 2434 (95.71) 4511 (98.24)

Analysis of the Association Between Chronic Pain and Common Chronic Diseases

Our unadjusted analysis (Model I) revealed significant associations between chronic pain and multiple chronic diseases, particularly arthritis (OR = 4.26, 95% CI: 3.82–4.75), renal failure (OR = 2.49, 95% CI: 1.86–3.43), liver disease (OR = 2.23, 95% CI: 1.75–2.85) and angina (OR = 3.83, 95% CI: 2.89–5.07). These associations remained significant in Model II after adjusting for sex, age, and race, though with attenuated effect sizes. The fully adjusted Model III (incorporating all covariates) maintained significant associations for most conditions, except hypertension, stroke, cancer and diabetes, which showed non-significant results (95% CI including 1). Complete regression results are presented in Table 3.

Table 3.

Association Analysis Between Chronic Pain and Common Chronic Diseases

Variables OR (95% CI)
Model I Model II Model III
Hypertension 1.51 (1.33–1.72) 1.12 (0.98–1.29) 1.07 (0.93–1.24)
Asthma 1.44 (1.26–1.64) 1.49 (1.30–1.71) 1.29 (1.12–1.49)
Arthritis 4.26 (3.82–4.75) 3.52 (3.12–3.97) 3.07 (2.71–3.48)
Congestive heart failure 3.33 (2.43–4.57) 2.15 (1.55–2.97) 1.72(1.24–2.40)
Coronary heart disease 2.61 (2.03–3.36) 1.69 (1.30–2.20) 1.44 (1.10–1.88)
Angina 3.83 (2.89–5.07) 2.65 (1.98–3.54) 1.73 (1.26–2.38)
Stroke 1.95 (1.48–2.57) 1.39 (1.04–1.84) 1.03 (0.77–1.39)
Emphysema 3.18 (2.26–4.48) 2.11 (1.49–3.00) 1.47 (1.03–2.10)
Chronic bronchitis 2.42 (2.01–2.92) 2.01 (1.66–2.44) 1.64 (1.35–2.00)
Liver disease 2.23 (1.75–2.85) 2.04 (1.58–2.62) 1.77 (1.37–2.29)
Cancer 1.90 (1.60–2.26) 1.26 (1.05–1.51) 1.20 (1.00–1.44)
Diabetes 1.56 (1.34–1.82) 1.24 (1.05–1.46) 1.00 (0.85–1.20)
Renal failure 2.49 (1.86–3.34) 2.25 (1.67–3.04) 1.85 (1.36–2.51)

Notes: Model I: No covariates were included; Model II: Gender, Age, and Ethnicity were adjusted on the basis of Model I; Model III: On the basis of Model II, the education level, poverty income ratio, body mass index, smoking, behavioral patterns (Vigorous exercise, Moderate exercise, Sedentary), Prescription Medication Use and marital status were further adjusted.

Abbreviations: OR, odds ratio; CI, confidence interval.

Risk Factor Analysis of Chronic Pain

Our analysis identified smoking (OR = 1.83, 95% CI: 1.66–2.02), the population aged 65 and above (OR = 2.01, 95% CI: 1.74–2.31), prescription medication use (OR = 2.33, 95% CI: 2.10–2.58) and widowed (OR = 2.13, 95% CI: 1.72–2.65) as significant independent risk factors for chronic pain when compared to non-smokers and normal BMI individuals, respectively. Complete risk factor analyses are presented in Table 4.

Table 4.

Analysis of Risk Factors for Chronic Pain

Variables OR 95% CI P-value
Age
 <65 Ref. Ref. Ref.
 ≥65 2.01 1.74–2.31 <0.001
Gender
 Female Ref. Ref. Ref.
 Male 0.82 0.75–0.91 <0.001
Race
 Mexican American Ref. Ref. Ref.
 Other Hispanic 0.71 0.56–0.90 0.004
 Non-Hispanic White 1.72 1.50–1.98 <0.001
 Non-Hispanic Black 1.24 1.05–1.47 0.010
 Other Race 0.93 0.71–1.21 0.590
PIR
 <1 Ref. Ref. Ref.
 1–3 0.93 0.82–1.05 0.251
 >3 0.83 0.73–0.95 0.005
Education
 Less Than 9th Grade Ref. Ref. Ref.
 9–11th Grade 1.07 0.88–1.29 0.496
 High School Grad 1.07 0.90–1.28 0.424
 Some College 1.00 0.85–1.19 0.971
 College Graduate or above 0.61 0.51–0.73 <0.001
BMI
 <18.5 Ref. Ref. Ref.
 18.5–24.9 0.82 0.56–1.21 0.322
 ≥30 1.05 0.72–1.53 0.799
 25.0–29.9 0.96 0.66–1.41 0.848
Vigorous exercise
 No Ref. Ref. Ref.
 Yes 1.04 0.93–1.17 0.449
Moderate exercise
 No Ref. Ref. Ref.
 Yes 1.04 0.94–1.14 0.457
Sedentary
 No Ref. Ref. Ref.
 Yes 0.83 0.72–0.95 0.009
Smoke
 No Ref. Ref. Ref.
 Yes 1.83 1.66–2.02 <0.001
Prescription Medication Use
 No Ref. Ref.
 Yes 2.33 2.10–2.58 <0.001
Marital Status
 Married Ref. Ref. Ref.
 Widowed 2.13 1.72–2.65 <0.001
 Divorced 1.28 1.10–1.49 0.002
 Separated 0.94 0.73–1.22 0.645
 Never married 0.59 0.51–0.68 <0.001
 Living with partner 0.92 0.76–1.10 0.353

Abbreviations: OR, odds ratio; CI, confidence interval; Ref, reference; PIR, Poverty income ratio; BMI, body mass index.

Subgroup Analysis of Chronic Pain and Arthritis Comorbidity Risk Factors

Table 5 presents the results of the subgroup analysis exploring the relationship between chronic pain and arthritis, stratified by various factors including age, gender, race and educational level.

Table 5.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Arthritis

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (1000.00) 1337/5127 1206/2008 4.26 (3.82–4.75) <0.001
Age 0.083
 <65 6245 (87.53) 1222/4778 873/1467 4.28 (3.78–4.84) <0.001
 ≥65 890 (12.47) 115/349 333/541 3.26 (2.46–4.32) <0.001
Gender 0.923
 Female 3828 (53.65) 731/2667 713/1161 4.22 (3.64–4.88) <0.001
 Male 3307 (46.35) 606/2460 493/847 4.26 (3.61–5.02) <0.001
Race 0.536
 Mexican American 1296 (18.16) 231/1009 146/287 3.49 (2.65–4.59) <0.001
 Other Hispanic 562 (7.88) 78/454 49/108 40.00 (2.55–6.28) <0.001
 Non-Hispanic White 3629 (50.86) 751/2473 752/1156 4.27 (3.68–4.95) <0.001
 Non-Hispanic Black 1311 (18.37) 224/922 219/389 4.01 (3.12–5.16) <0.001
 Other Race 337 (4.72) 53/269 40/68 5.82 (3.30–10.28) <0.001
PIR 0.472
 <1 1604 (22.48) 317/1142 291/462 4.43 (3.52–5.57) <0.001
 1–3 2891 (40.52) 539/2066 507/825 4.52 (3.81–5.36) <0.001
 >3 2640 (370.00) 481/1919 408/721 3.90 (3.26–4.66) <0.001
Education 0.392
 Less Than 9th Grade 776 (10.88) 130/508 158/268 4.18 (3.05–5.72) <0.001
 9–11th Grade 1141 (15.99) 204/776 237/365 5.19 (3.97–6.79) <0.001
 High School Grad 1709 (23.95) 333/1184 330/525 4.32 (3.48–5.38) <0.001
 Some College degree 2076 (29.10) 440/1524 332/552 3.72 (3.03–4.56) <0.001
 College Graduate 1433 (20.08) 230/1135 149/298 3.93 (3.01–5.15) <0.001
BMI 0.803
 <18.5 120 (1.68) 30/96 14/24 3.08 (1.23–7.72) 0.016
 18.5–24.9 1920 (26.91) 369/1500 251/420 4.55 (3.63–5.72) <0.001
 ≥30 2721 (38.14) 463/1779 566/942 4.28 (3.62–5.06) <0.001
 25.0–29.9 2374 (33.27) 475/1752 375/622 4.08 (3.37–4.95) <0.001
Vigorous exercise 0.815
 No 5407 (75.78) 974/3822 940/1585 4.26 (3.77–4.82) <0.001
 Yes 1728 (24.22) 363/1305 266/423 4.40 (3.49–5.54) <0.001
Moderate exercise 0.099
 No 4096 (57.41) 727/2911 718/1185 4.62 (40.00–5.33) <0.001
 Yes 3039 (42.59) 610/2216 488/823 3.84 (3.24–4.53) <0.001
Sedentary 0.023
 No 991 (13.89) 237/735 153/256 3.12 (2.33–4.19) <0.001
 Yes 6144 (86.11) 1100/4392 1053/1752 4.51 (4.01–5.07) <0.001
Smoke 0.028
 No 3630 (50.88) 596/2816 452/814 4.65 (3.94–5.49) <0.001
 Yes 3505 (49.12) 741/2311 754/1194 3.63 (3.14–4.20) <0.001
Prescription Medication Use 0.175
 No 2987 (41.86) 561/2648 180/339 4.21 (3.34–5.32) <0.001
 Yes 4148 (58.14) 776/2479 1026/1669 3.50 (3.07–3.99) <0.001
Marital Status 0.312
 Married 3805 (53.33) 693/2656 687/1149 4.21 (3.64–4.88) <0.001
 Widowed 361 (5.06) 51/137 147/224 3.22 (2.07–5.01) <0.001
 Divorced 819 (11.48) 163/517 182/302 3.29 (2.45–4.43) <0.001
 Separated 278 (3.90) 54/205 43/73 4.01 (2.29–7.02) <0.001
 Never married 1283 (17.98) 239/1117 82/166 3.59 (2.56–5.02) <0.001
 Living with partner 589 (8.26) 137/495 65/94 5.86 (3.62–9.46) <0.001

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

The association between chronic pain and arthritis was strongest in individuals <65 years (OR = 4.28, 95% CI: 3.78–4.84, P < 0.001). In contrast, the association was weaker in individuals ≥65 years (OR = 3.26, 95% CI: 2.46–4.32, P < 0.001), indicating a higher comorbidity risk in younger populations.

Gender

No significant gender differences were observed (P = 0.923). Both females (OR = 4.22, 95% CI: 3.64–4.88, P < 0.001) and males (OR = 4.26, 95% CI: 3.61–5.02, P < 0.001) showed similar odds ratios for the comorbidity of chronic pain and arthritis.

Race

Significant racial differences were observed, with non-Hispanic White individuals showing the highest odds ratio (OR = 4.27, 95% CI: 3.68–4.95, P < 0.001). The Other Race group had the highest risk (OR = 5.82, 95% CI: 3.30–10.28, P < 0.001), highlighting the role of race in modulating comorbidity risk.

Exercise Behavior

Sedentary individuals exhibited a significantly higher risk of comorbidity (OR = 4.51, 95% CI: 4.01–5.07, P < 0.001), suggesting that physical inactivity increases the risk of chronic pain and arthritis comorbidity.

Smoking Status

Smokers had a lower odds ratio (OR = 3.63, 95% CI: 3.14–4.20, P < 0.001) compared to non-smokers (OR = 4.65, 95% CI: 3.94–5.49, P < 0.001), indicating smoking status significantly affects the comorbidity of chronic pain and arthritis.

Marital Status

Living with a partner was associated with the highest odds ratio for comorbidity (OR = 5.86, 95% CI: 3.62–9.46, P < 0.001), while widowed individuals had a lower OR (OR = 3.22, 95% CI: 2.07–5.01, P < 0.001).

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Renal Failure

Table 6 presents the results of the subgroup analysis exploring the relationship between chronic pain and renal failure, stratified by various factors. Only statistically significant results are described below.

Table 6.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Renal Failure

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (1000.00) 2434/6945 109/190 2.49 (1.86–3.34) <0.001
Age 0.755
 <65 6245 (87.53) 2019/6104 76/141 2.37 (1.69–3.31) <0.001
 ≥65 890 (12.47) 415/841 33/49 2.12 (1.15–3.91) 0.016
Gender 0.376
 Female 3828 (53.65) 1389/3731 55/97 2.21 (1.47–3.32) <0.001
 Male 3307 (46.35) 1045/3214 54/93 2.87 (1.89–4.37) <0.001
Race 0.431
 Mexican American 1296 (18.16) 360/1261 17/35 2.36 (1.20–4.64) 0.012
 Other Hispanic 562 (7.88) 123/545 4/17 1.06 (0.34–3.30) 0.926
 Non-Hispanic White 3629 (50.86) 1449/3550 54/79 3.13 (1.94–5.06) <0.001
 Non-Hispanic Black 1311 (18.37) 414/1263 29/48 3.13 (1.73–5.65) <0.001
 Other Race 337 (4.72) 88/326 5/11 2.25 (0.67–7.57) 0.189
PIR 0.814
 <1 1604 (22.48) 570/1536 38/68 2.15 (1.32–3.50) 0.002
 1–3 2891 (40.52) 998/2809 48/82 2.56 (1.64–40.00) <0.001
 >3 2640 (370.00) 866/2600 23/40 2.71 (1.44–5.10) 0.002
Education 0.797
 Less Than 9th Grade 776 (10.88) 266/740 22/36 2.80 (1.41–5.56) 0.003
 9–11th Grade 1141 (15.99) 413/1096 28/45 2.72 (1.47–5.04) 0.001
 High School Grad 1709 (23.95) 639/1667 24/42 2.15 (1.15–3.98) 0.016
 Some College degree 2076 (29.10) 744/2022 28/54 1.85 (1.08–3.18) 0.026
 College Graduate 1433 (20.08) 372/1420 7/13 3.29 (1.10–9.84) 0.033
BMI 0.801
 <18.5 120 (1.68) 41/115 3/5 2.71 (0.43–16.87) 0.286
 18.5–24.9 1920 (26.91) 599/1885 21/35 3.22 (1.63–6.38) <0.001
 ≥30 2721 (38.14) 976/2631 53/90 2.43 (1.58–3.72) <0.001
 25.0–29.9 2374 (33.27) 818/2314 32/60 2.09 (1.25–3.50) 0.005
Vigorous exercise 0.958
 No 5407 (75.78) 1825/5251 89/156 2.49 (1.81–3.44) <0.001
 Yes 1728 (24.22) 609/1694 20/34 2.55 (1.28–5.08) 0.008
Moderate exercise 0.808
 No 4096 (57.41) 1373/3971 72/125 2.57 (1.79–3.69) <0.001
 Yes 3039 (42.59) 1061/2974 37/65 2.38 (1.45–3.91) <0.001
Sedentary 0.400
 No 991 (13.89) 376/965 14/26 1.83 (0.84–3.99) 0.131
 Yes 6144 (86.11) 2058/5980 95/164 2.62 (1.92–3.59) <0.001
Smoke 0.636
 No 3630 (50.88) 1011/3551 37/79 2.21 (1.41–3.46) <0.001
 Yes 3505 (49.12) 1423/3394 72/111 2.56 (1.72–3.80) <0.001
Prescription Medication Use 0.011
 No 2987 (41.86) 721/2954 20/33 4.76 (2.36–9.63) <0.001
 Yes 4148 (58.14) 1713/3991 89/157 1.74 (1.26–2.40) <0.001
Marital Status 0.398
 Married 3805 (53.33) 1322/3713 58/92 3.09 (2.01–4.74) <0.001
 Widowed 361 (5.06) 185/343 13/18 2.22 (0.77–6.36) 0.138
 Divorced 819 (11.48) 328/787 17/32 1.59 (0.78–3.22) 0.202
 Separated 278 (3.90) 94/269 3/9 0.93 (0.23–3.81) 0.921
 Never married 1283 (17.98) 313/1261 8/22 1.73 (0.72–4.16) 0.221
 Living with partner 589 (8.26) 192/572 10/17 2.83 (1.06–7.54) 0.038

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

The association between chronic pain and renal failure was significant in individuals <65 years (OR = 2.37, 95% CI: 1.69–3.31, P < 0.001). However, the association was weaker and not statistically significant in those ≥65 years (OR = 2.12, 95% CI: 1.15–3.91, P = 0.016), suggesting a stronger comorbidity risk in younger individuals.

Gender

Males had a significantly higher risk of comorbidity (OR = 2.87, 95% CI: 1.89–4.37, P < 0.001) compared to females (OR = 2.21, 95% CI: 1.47–3.32, P < 0.001), indicating that males are more likely to experience chronic pain and renal failure comorbidity.

Race

Non-Hispanic White individuals exhibited the highest risk for comorbidity (OR = 3.13, 95% CI: 1.94–5.06, P < 0.001). Mexican Americans also showed a significant association (OR = 2.36, 95% CI: 1.20–4.64, P = 0.012), while Other Hispanic and Other Race groups did not show significant results.

BMI

Individuals with BMI 18.5–24.9 had an (OR = 3.22, 95% CI: 1.63–6.38, P < 0.001), while those with BMI ≥ 30 (OR = 2.43, 95% CI: 1.58–3.72, P < 0.001). Those with BMI 25.0–29.9 (OR = 2.09, 95% CI: 1.25–3.50, P = 0.005), showing a significant association between higher BMI and comorbidity.

Vigorous Exercise

Individuals who engaged in vigorous exercise had a significantly higher OR for comorbidity (OR = 2.55, 95% CI: 1.28–5.08, P = 0.008), suggesting that exercise intensity plays a role in the comorbidity risk.

Smoking

Smokers showed a significantly higher OR for comorbidity (OR = 2.56, 95% CI: 1.72–3.80, P < 0.001), compared to non-smokers (OR = 2.21, 95% CI: 1.41–3.46, P < 0.001), highlighting the influence of smoking on the risk of comorbidity.

Prescription Medication Use

Non-users of prescription medication had a significantly higher OR (OR = 4.76, 95% CI: 2.36–9.63, P < 0.001), while prescription medication users (OR = 1.74, 95% CI: 1.26–2.40, P < 0.001), indicating a differential impact of medication use on comorbidity risk.

Marital Status

Living with a partner showed the highest OR for comorbidity (OR = 2.83, 95% CI: 1.06–7.54, P = 0.038), suggesting that partnership status influences the comorbidity risk between chronic pain and renal failure.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Liver Disease

Table 7 presents the results of the subgroup analysis examining the relationship between chronic pain and liver disease, stratified by age, gender, race, educational level, BMI, and other factors. Only statistically significant results are described below.

Table 7.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Liver Disease

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (1000.00) 2396/6865 147/270 2.23 (1.75–2.85) <0.001
Age 0.266
 <65 6245 (87.53) 1968/6008 127/237 2.37 (1.83–3.08) <0.001
 ≥65 890 (12.47) 428/857 20/33 1.54 (0.76–3.14) 0.232
Gender 0.424
 Female 3828 (53.65) 1373/3698 71/130 2.04 (1.43–2.90) <0.001
 Male 3307 (46.35) 1023/3167 76/140 2.49 (1.77–3.50) <0.001
Race 0.471
 Mexican American 1296 (18.16) 356/1243 21/53 1.64 (0.93–2.87) 0.088
 Other Hispanic 562 (7.88) 118/537 9/25 20.00 (0.86–4.63) 0.107
 Non-Hispanic White 3629 (50.86) 1406/3480 97/149 2.75 (1.95–3.88) <0.001
 Non-Hispanic Black 1311 (18.37) 429/1280 14/31 1.63 (0.80–3.35) 0.180
 Other Race 337 (4.72) 87/325 6/12 2.74 (0.86–8.71) 0.088
PIR 0.076
 <1 1604 (22.48) 564/1530 44/74 2.51 (1.56–4.04) <0.001
 1–3 2891 (40.52) 979/2780 67/111 2.80 (1.90–4.13) <0.001
 >3 2640 (370.00) 853/2555 36/85 1.47 (0.95–2.27) 0.087
Education 0.780
 Less Than 9th Grade 776 (10.88) 267/735 21/41 1.84 (0.98–3.46) 0.058
 9–11th Grade 1141 (15.99) 415/1100 26/41 2.86 (1.50–5.46) 0.001
 High School Grad 1709 (23.95) 624/1644 39/65 2.45 (1.48–4.07) <0.001
 Some College degree 2076 (29.10) 726/1993 46/83 2.17 (1.39–3.38) <0.001
 College Graduate 1433 (20.08) 364/1393 15/40 1.70 (0.88–3.25) 0.112
BMI 0.669
 <18.5 120 (1.68) 41/112 3/8 1.04 (0.24–4.57) 0.960
 18.5–24.9 1920 (26.91) 588/1862 32/58 2.67 (1.57–4.52) <0.001
 ≥30 2721 (38.14) 968/2612 61/109 2.16 (1.47–3.18) <0.001
 25.0–29.9 2374 (33.27) 799/2279 51/95 2.15 (1.42–3.24) <0.001
Vigorous exercise 0.242
 No 5407 (75.78) 1799/5188 115/219 2.08 (1.59–2.73) <0.001
 Yes 1728 (24.22) 597/1677 32/51 3.05 (1.71–5.42) <0.001
Moderate exercise 0.772
 No 4096 (57.41) 1359/3939 86/157 2.30 (1.67–3.17) <0.001
 Yes 3039 (42.59) 1037/2926 61/113 2.14 (1.46–3.12) <0.001
Sedentary 0.223
 No 991 (13.89) 368/947 22/44 1.57 (0.86–2.88) 0.142
 Yes 6144 (86.11) 2028/5918 125/226 2.37 (1.82–3.10) <0.001
Smoke 0.141
 No 3630 (50.88) 1005/3523 43/107 1.68 (1.14–2.49) 0.009
 Yes 3505 (49.12) 1391/3342 104/163 2.47 (1.78–3.43) <0.001
Prescription Medication Use 0.388
 No 2987 (41.86) 715/2927 26/60 2.37 (1.41–3.97) 0.001
 Yes 4148 (58.14) 1681/3938 121/210 1.83 (1.38–2.42) <0.001
Marital Status 0.266
 Married 3805 (53.33) 1307/3665 73/140 1.97 (1.40–2.76) <0.001
 Widowed 361 (5.06) 188/347 10/14 2.11 (0.65–6.87) 0.213
 Divorced 819 (11.48) 311/764 34/55 2.36 (1.34–4.14) 0.003
 Separated 278 (3.90) 92/264 5/14 1.04 (0.34–3.19) 0.947
 Never married 1283 (17.98) 309/1253 12/30 2.04 (0.97–4.28) 0.060
 Living with partner 589 (8.26) 189/572 13/17 6.59 (2.12–20.47) 0.001

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

The association between chronic pain and liver disease was significant in individuals <65 years (OR = 2.37, 95% CI: 1.83–3.08, P < 0.001). However, the association was weaker and not statistically significant in those ≥65 years (OR = 1.54, 95% CI: 0.76–3.14, P = 0.232), suggesting that younger individuals have a higher comorbidity risk.

Gender

Males exhibited a significantly higher risk for comorbidity (OR = 2.49, 95% CI: 1.77–3.50, P < 0.001) compared to females (OR = 2.04, 95% CI: 1.43–2.90, P < 0.001).

Race

Non-Hispanic White individuals showed the highest odds ratio for comorbidity (OR = 2.75, 95% CI: 1.95–3.88, P < 0.001), while Other Hispanic and Other Race groups did not show significant results.

BMI

Individuals with BMI 18.5–24.9 exhibited the highest OR for comorbidity (OR = 2.67, 95% CI: 1.57–4.52, P < 0.001). BMI ≥ 30 individuals (OR = 2.16, 95% CI: 1.47–3.18, P < 0.001), and those with BMI 25.0–29.9 (OR = 2.15, 95% CI: 1.42–3.24, P < 0.001).

Vigorous Exercise

Vigorous exercise was significantly associated with comorbidity (OR = 3.05, 95% CI: 1.71–5.42, P < 0.001), suggesting that exercise intensity increases the comorbidity risk between chronic pain and liver disease.

Smoking

Smokers had a significantly higher OR for comorbidity (OR = 2.47, 95% CI: 1.78–3.43, P < 0.001) compared to non-smokers (OR = 1.68, 95% CI: 1.14–2.49, P = 0.009), highlighting the impact of smoking on comorbidity risk.

Prescription Medication Use

Non-users of prescription medication had the highest OR (OR = 2.37, 95% CI: 1.41–3.97, P = 0.001) compared to those using prescription medications (OR = 1.83, 95% CI: 1.38–2.42, P < 0.001).

Marital Status

Living with a partner showed the highest OR for comorbidity (OR = 6.59, 95% CI: 2.12–20.47, P = 0.001), suggesting that living arrangement status significantly influences the comorbidity of chronic pain and liver disease.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Angina

Table 8 presents the results of the subgroup analysis examining the relationship between chronic pain and angina, stratified by age, gender, race, educational level, BMI, and other factors. Only statistically significant results are described below.

Table 8.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Angina

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (100.00) 2391/6908 152/227 3.83 (2.89–5.07) <0.001
Age 0.202
 <65 6245 (87.53) 2011/6115 84/130 3.73 (2.59–5.36) <0.001
 ≥65 890 (12.47) 380/793 68/97 2.55 (1.61–4.02) <0.001
Gender 0.640
 Female 3828 (53.65) 1372/3722 72/106 3.63 (2.40–5.48) <0.001
 Male 3307 (46.35) 1019/3186 80/121 4.15 (2.83–6.09) <0.001
Race 0.345
 Mexican American 1296 (18.16) 359/1258 18/38 2.25 (1.18–4.31) 0.014
 Other Hispanic 562 (7.88) 122/554 5/8 5.90 (1.39–25.04) 0.016
 Non-Hispanic White 3629 (50.86) 1405/3491 98/138 3.64 (2.50–5.29) <0.001
 Non-Hispanic Black 1311 (18.37) 420/1280 23/31 5.89 (2.61–13.27) <0.001
 Other Race 337 (4.72) 85/325 8/12 5.65 (1.66–19.23) 0.006
PIR 0.198
 <1 1604 (22.48) 569/1549 39/55 4.20 (2.32–7.58) <0.001
 1–3 2891 (40.52) 974/2791 72/100 4.80 (3.08–7.47) <0.001
 >3 2640 (37.00) 848/2568 41/72 2.68 (1.67–4.31) <0.001
Education 0.865
 Less Than 9th Grade 776 (10.88) 265/742 23/34 3.76 (1.81–7.84) <0.001
 9–11th Grade 1141 (15.99) 414/1099 27/42 2.98 (1.57–5.66) <0.001
 High School Grad 1709 (23.95) 623/1654 40/55 4.41 (2.42–8.05) <0.001
 Some College degree 2076 (29.10) 731/2014 41/62 3.43 (2.01–5.84) <0.001
 College Graduate 1433 (20.08) 358/1399 21/34 4.70 (2.33–9.48) <0.001
BMI 0.339
 <18.5 120 (1.68) 42/117 2/3 3.57 (0.31–40.57) 0.305
 18.5–24.9 1920 (26.91) 591/1881 29/39 6.33 (3.06–13.07) <0.001
 ≥30 2721 (38.14) 946/2599 83/122 3.72 (2.52–5.49) <0.001
 25.0–29.9 2374 (33.27) 812/2311 38/63 2.81 (1.68–4.68) <0.001
Vigorous exercise 0.122
 No 5407 (75.78) 1799/5228 115/179 3.42 (2.51–4.67) <0.001
 Yes 1728 (24.22) 592/1680 37/48 6.18 (3.13–12.21) <0.001
Moderate exercise 0.299
 No 4096 (57.41) 1345/3951 100/145 4.31 (3.01–6.16) <0.001
 Yes 3039 (42.59) 1046/2957 52/82 3.17 (2.01–4.99) <0.001
Sedentary 0.123
 No 991 (13.89) 375/965 15/26 2.15 (0.97–4.72) 0.058
 Yes 6144 (86.11) 2016/5943 137/201 4.17 (3.08–5.64) <0.001
Smoke 0.218
 No 3630 (50.88) 992/3542 56/88 4.50 (2.90–6.99) <0.001
 Yes 3505 (49.12) 1399/3366 96/139 3.14 (2.18–4.53) <0.001
Prescription Medication Use 0.008
 No 2987 (41.86) 728/2972 13/15 20.04 (4.51–88.99) <0.001
 Yes 4148 (58.14) 1663/3936 139/212 2.60 (1.95–3.48) <0.001
Marital Status 0.230
 Married 3805 (53.33) 1295/3669 85/136 3.06 (2.15–4.35) <0.001
 Widowed 361 (5.06) 176/334 22/27 3.95 (1.46–10.68) 0.007
 Divorced 819 (11.48) 318/779 27/40 3.01 (1.53–5.92) 0.001
 Separated 278 (3.90) 86/266 11/12 23.02 (2.93–181.06) 0.003
 Never married 1283 (17.98) 318/1276 3/7 2.26 (0.50–10.15) 0.288
 Living with partner 589 (8.26) 198/584 4/5 7.80 (0.87–70.24) 0.067

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

The association between chronic pain and angina was significant in individuals <65 years (OR = 3.73, 95% CI: 2.59–5.36, P < 0.001). However, the association was weaker and not statistically significant in individuals ≥65 years (OR = 2.55, 95% CI: 1.61–4.02, P = 0.232), suggesting a stronger comorbidity risk in younger individuals.

Gender

Males exhibited a significantly higher risk for comorbidity (OR = 4.15, 95% CI: 2.83–6.09, P < 0.001) compared to females (OR = 3.63, 95% CI: 2.40–5.48, P < 0.001).

Race

Non-Hispanic White individuals had the highest risk for comorbidity with an (OR = 3.64, 95% CI: 2.50–5.29, P < 0.001). Mexican Americans also showed a significant association (OR = 2.25, 95% CI: 1.18–4.31, P = 0.014), while Other Hispanic and Other Race groups did not show significant results.

BMI

Individuals with BMI 18.5–24.9 had the highest odds of comorbidity (OR = 6.33, 95% CI: 3.06–13.07, P < 0.001). Those with BMI ≥ 30 (OR = 3.72, 95% CI: 2.52–5.49, P < 0.001), and individuals with BMI 25.0–29.9 (OR = 2.81, 95% CI: 1.68–4.68, P < 0.001).

Vigorous Exercise

Vigorous exercise was significantly associated with a higher OR for comorbidity (OR = 6.18, 95% CI: 3.13–12.21, P < 0.001), suggesting that exercise intensity plays a critical role in the comorbidity risk between chronic pain and angina.

Prescription Medication Use

Non-users of prescription medication had the highest OR (OR = 20.04, 95% CI: 4.51–88.99, P < 0.001) compared to those using prescription medications (OR = 2.60, 95% CI: 1.95–3.48, P < 0.001), highlighting a differential impact of medication use on the risk of comorbidity.

Marital Status

Widowed individuals showed a significantly higher OR (OR = 3.95, 95% CI: 1.46–10.68, P = 0.007), while divorced individuals also had a significant association (OR = 3.01, 95% CI: 1.53–5.92, P = 0.001).

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Congestive Heart

Table 9 presents the results of the subgroup analysis examining the relationship between chronic pain and congestive heart failure, stratified by various factors such as age, gender, race, educational level, BMI, and other factors. Only statistically significant results are described below.

Table 9.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Congestive Heart Failure

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (1000.00) 2432/6962 111/173 3.33 (2.43–4.57) <0.001
Age 0.631
 <65 6245 (87.53) 2040/6152 55/93 2.92 (1.92–4.43) <0.001
 ≥65 890 (12.47) 392/810 56/80 2.49 (1.51–4.09) <0.001
Gender 0.701
 Female 3828 (53.65) 1392/3752 52/76 3.67 (2.25–5.99) <0.001
 Male 3307 (46.35) 1040/3210 59/97 3.24 (2.14–4.90) <0.001
Race 0.484
 Mexican American 1296 (18.16) 370/1277 7/19 1.43 (0.56–3.66) 0.456
 Other Hispanic 562 (7.88) 124/555 3/7 2.61 (0.58–11.80) 0.214
 Non-Hispanic White 3629 (50.86) 1428/3524 75/105 3.67 (2.39–5.63) <0.001
 Non-Hispanic Black 1311 (18.37) 418/1271 25/40 3.40 (1.77–6.52) <0.001
 Other Race 337 (4.72) 92/335 1/2 2.64 (0.16–42.67) 0.494
PIR 0.349
 <1 1604 (22.48) 577/1553 31/51 2.62 (1.48–4.64) <0.001
 1–3 2891 (40.52) 999/2816 47/75 3.05 (1.90–4.91) <0.001
 >3 2640 (370.00) 856/2593 33/47 4.78 (2.55–8.99) <0.001
Education 0.327
 Less Than 9th Grade 776 (10.88) 271/745 17/31 2.12 (1.03–4.38) 0.041
 9–11th Grade 1141 (15.99) 411/1101 30/40 5.04 (2.44–10.41) <0.001
 High School Grad 1709 (23.95) 633/1667 30/42 4.08 (2.08–8.03) <0.001
 Some College degree 2076 (29.10) 747/2032 25/44 2.26 (1.24–4.14) 0.008
 College Graduate 1433 (20.08) 370/1417 9/16 3.64 (1.35–9.84) 0.011
BMI 0.827
 <18.5 120 (1.68) 43/119 1/1 10,176,599.47 (00.00–Inf) 0.991
 18.5–24.9 1920 (26.91) 601/1889 19/31 3.39 (1.64–7.04) 0.001
 ≥30 2721 (38.14) 970/2630 59/91 3.16 (2.04–4.89) <0.001
 25.0–29.9 2374 (33.27) 818/2324 32/50 3.27 (1.83–5.87) <0.001
Vigorous exercise 0.180
 No 5407 (75.78) 1823/5260 91/147 3.06 (2.19–4.29) <0.001
 Yes 1728 (24.22) 609/1702 20/26 5.98 (2.39–14.98) <0.001
Moderate exercise 0.755
 No 4096 (57.41) 1372/3983 73/113 3.47 (2.35–5.14) <0.001
 Yes 3039 (42.59) 1060/2979 38/60 3.13 (1.84–5.31) <0.001
Sedentary 0.575
 No 991 (13.89) 376/972 14/19 4.44 (1.59–12.42) 0.005
 Yes 6144 (86.11) 2056/5990 97/154 3.26 (2.34–4.54) <0.001
Smoke 0.400
 No 3630 (50.88) 1016/3576 32/54 3.66 (2.12–6.34) <0.001
 Yes 3505 (49.12) 1416/3386 79/119 2.75 (1.87–4.04) <0.001
Prescription Medication Use 0.199
 No 2987 (41.86) 735/2978 6/9 6.10 (1.52–24.47) 0.011
 Yes 4148 (58.14) 1697/3984 105/164 2.40 (1.73–3.32) <0.001
Marital Status 0.241
 Married 3805 (53.33) 1326/3716 54/89 2.78 (1.81–4.28) <0.001
 Widowed 361 (5.06) 172/326 26/35 2.59 (1.18–5.69) 0.018
 Divorced 819 (11.48) 331/797 14/22 2.46 (1.02–5.94) 0.045
 Separated 278 (3.90) 90/270 7/8 140.00 (1.70–115.53) 0.014
 Never married 1283 (17.98) 317/1271 4/12 1.50 (0.45–5.03) 0.507
 Living with partner 589 (8.26) 196/582 6/7 11.82 (1.41–98.84) 0.023

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

The association between chronic pain and congestive heart failure was significant in individuals <65 years (OR = 2.92, 95% CI: 1.92–4.43, P < 0.001). In those ≥65 years, the association remained significant (OR = 2.49, 95% CI: 1.51–4.09, P < 0.001), though the odds ratio was slightly lower.

Gender

Females exhibited a significantly higher risk of comorbidity (OR = 3.67, 95% CI: 2.25–5.99, P < 0.001) compared to males (OR = 3.24, 95% CI: 2.14–4.90, P < 0.001).

Race

Non-Hispanic White individuals had the highest odds ratio for comorbidity (OR = 3.64, 95% CI: 2.39–5.63, P < 0.001). Non-Hispanic Black individuals also showed a significant association (OR = 3.40, 95% CI: 1.77–6.52, P < 0.001), while Mexican Americans and Other Hispanic groups did not exhibit statistically significant results.

BMI

Individuals with BMI 18.5–24.9 had the highest odds of comorbidity (OR = 3.39, 95% CI: 1.64–7.04, P < 0.001). Those with BMI ≥ 30 (OR = 3.16, 95% CI: 2.04–4.89, P < 0.001), and individuals with BMI 25.0–29.9 (OR = 3.27, 95% CI: 1.83–5.87, P < 0.001).

Vigorous Exercise

Vigorous exercise was significantly associated with a higher OR for comorbidity (OR = 5.98, 95% CI: 2.39–14.98, P < 0.001), suggesting that higher-intensity exercise increases the comorbidity risk between chronic pain and congestive heart failure.

Prescription Medication Use

Non-users of prescription medication had the highest OR (OR = 6.10, 95% CI: 1.52–24.47, P = 0.011) compared to those using prescription medications (OR = 2.40, 95% CI: 1.73–3.32, P < 0.001).

Marital Status

Widowed individuals had a significantly higher OR for comorbidity (OR = 2.59, 95% CI: 1.18–5.69, P = 0.018). Divorced individuals also had a significant association (OR = 2.46, 95% CI: 1.02–5.94, P = 0.045). Additionally, separated individuals exhibited an exceptionally high OR (OR = 140.00, 95% CI: 1.70–115.53, P = 0.014), although this result should be interpreted cautiously due to the small sample size.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Chronic Bronchitis

Table 10 presents the results of the subgroup analysis examining the relationship between chronic pain and chronic bronchitis, stratified by various factors, including age, gender, race, educational level, BMI, and other factors. Only statistically significant results are described below:

Table 10.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Chronic Bronchitis

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (1000.00) 2269/6643 274/492 2.42 (2.01–2.92) <0.001
Age 0.117
 <65 6245 (87.53) 1878/5845 217/400 2.50 (2.04–3.07) <0.001
 ≥65 890 (12.47) 391/798 57/92 1.70 (1.09–2.64) 0.020
Gender 0.428
 Female 3828 (53.65) 1244/3483 200/345 2.48 (1.98–3.11) <0.001
 Male 3307 (46.35) 1025/3160 74/147 2.11 (1.52–2.94) <0.001
Race 0.146
 Mexican American 1296 (18.16) 357/1258 20/38 2.80 (1.47–5.36) 0.002
 Other Hispanic 562 (7.88) 118/543 9/19 3.24 (1.29–8.16) 0.013
 Non-Hispanic White 3629 (50.86) 1326/3316 177/313 1.95 (1.55–2.47) <0.001
 Non-Hispanic Black 1311 (18.37) 391/1214 52/97 2.43 (1.60–3.69) <0.001
 Other Race 337 (4.72) 77/312 16/25 5.43 (2.30–12.77) <0.001
PIR 0.070
 <1 1604 (22.48) 516/1458 92/146 3.11 (2.19–4.43) <0.001
 1–3 2891 (40.52) 927/2681 119/210 2.47 (1.86–3.29) <0.001
 >3 2640 (370.00) 826/2504 63/136 1.75 (1.24–2.48) 0.002
Education 0.063
 Less Than 9th Grade 776 (10.88) 264/735 24/41 2.52 (1.33–4.77) 0.005
 9–11th Grade 1141 (15.99) 371/1039 70/102 3.94 (2.54–6.10) <0.001
 High School Grad 1709 (23.95) 596/1585 67/124 1.95 (1.35–2.82) <0.001
 Some College degree 2076 (29.10) 685/1923 87/153 2.38 (1.71–3.32) <0.001
 College Graduate 1433 (20.08) 353/1361 26/72 1.61 (0.98–2.65) 0.059
BMI 0.910
 <18.5 120 (1.68) 35/105 9/15 30.00 (0.99–9.10) 0.052
 18.5–24.9 1920 (26.91) 560/1807 60/113 2.52 (1.72–3.70) <0.001
 ≥30 2721 (38.14) 890/2472 139/249 2.25 (1.73–2.92) <0.001
 25.0–29.9 2374 (33.27) 784/2259 66/115 2.53 (1.73–3.70) <0.001
Vigorous exercise 0.386
 No 5407 (75.78) 1706/5039 208/368 2.54 (2.05–3.15) <0.001
 Yes 1728 (24.22) 563/1604 66/124 2.10 (1.46–3.04) <0.001
Moderate exercise 0.236
 No 4096 (57.41) 1285/3818 160/278 2.67 (2.09–3.42) <0.001
 Yes 3039 (42.59) 984/2825 114/214 2.13 (1.61–2.82) <0.001
Sedentary 0.343
 No 991 (13.89) 354/925 36/66 1.94 (1.17–3.20) 0.010
 Yes 6144 (86.11) 1915/5718 238/426 2.51 (2.06–3.07) <0.001
Smoke 0.836
 No 3630 (50.88) 964/3452 84/178 2.31 (1.70–3.12) <0.001
 Yes 3505 (49.12) 1305/3191 190/314 2.21 (1.75–2.81) <0.001
Prescription Medication Use 0.903
 No 2987 (41.86) 708/2902 33/85 1.97 (1.26–3.07) 0.003
 Yes 4148 (58.14) 1561/3741 241/407 2.03 (1.65–2.50) <0.001
Marital Status 0.157
 Married 3805 (53.33) 1260/3576 120/229 2.02 (1.55–2.65) <0.001
 Widowed 361 (5.06) 171/319 27/42 1.56 (0.80–3.04) 0.194
 Divorced 819 (11.48) 288/740 57/79 4.07 (2.43–6.80) <0.001
 Separated 278 (3.90) 79/248 18/30 3.21 (1.47–6.98) 0.003
 Never married 1283 (17.98) 290/1212 31/71 2.46 (1.51–4.01) <0.001
 Living with partner 589 (8.26) 181/548 21/41 2.13 (1.13–4.03) 0.020

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

The association between chronic pain and chronic bronchitis was significant in individuals <65 years (OR = 2.50, 95% CI: 2.04–3.07, P < 0.001). In those ≥65 years, the association remained significant but weaker (OR = 1.70, 95% CI: 1.09–2.64, P = 0.020), indicating a higher comorbidity risk in younger individuals.

Gender

Females exhibited a significantly higher risk for comorbidity (OR = 2.48, 95% CI: 1.98–3.11, P < 0.001) compared to males (OR = 2.11, 95% CI: 1.52–2.94, P < 0.001).

Race

Non-Hispanic White individuals (OR = 1.95, 95% CI: 1.55–2.47, P < 0.001). Mexican Americans also had a significant association (OR = 2.80, 95% CI: 1.47–5.36, P = 0.002), while Other Race individuals showed a higher OR (OR = 5.43, 95% CI: 2.30–12.77, P < 0.001).

BMI

Individuals with BMI 18.5–24.9 had the highest odds of comorbidity (OR = 2.52, 95% CI: 1.72–3.70, P < 0.001). BMI ≥ 30 individuals (OR = 2.25, 95% CI: 1.73–2.92, P < 0.001), and those with BMI 25.0–29.9 (OR = 2.53, 95% CI: 1.73–3.70, P < 0.001).

Vigorous Exercise

Vigorous exercise was significantly associated with a higher OR for comorbidity (OR = 2.10, 95% CI: 1.46–3.04, P < 0.001), indicating that higher-intensity exercise increases the comorbidity risk between chronic pain and chronic bronchitis.

Marital Status

Divorced individuals had a significantly higher OR (OR = 4.07, 95% CI: 2.43–6.80, P < 0.001), while separated individuals also showed a higher risk (OR = 3.21, 95% CI: 1.47–6.98, P = 0.003). Never married individuals (OR = 2.46, 95% CI: 1.51–4.01, P < 0.001).

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Emphysema

Table 11 presents the results of the subgroup analysis examining the relationship between chronic pain and emphysema, stratified by age, gender, race, educational level, BMI, and other factors. Only statistically significant results are described below.

Table 11.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Emphysema

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (1000.00) 2452/6991 91/144 3.18 (2.26–4.48) <0.001
Age 0.241
 <65 6245 (87.53) 2040/6155 55/90 3.17 (2.07–4.86) <0.001
 ≥65 890 (12.47) 412/836 36/54 2.06 (1.15–3.68) 0.015
Gender 0.648
 Female 3828 (53.65) 1400/3759 44/69 2.97 (1.81–4.87) <0.001
 Male 3307 (46.35) 1052/3232 47/75 3.48 (2.17–5.59) <0.001
Race 0.159
 Mexican American 1296 (18.16) 375/1288 2/8 0.81 (0.16–4.04) 0.799
 Other Hispanic 562 (7.88) 123/556 4/6 7.04 (1.27–38.89) 0.025
 Non-Hispanic White 3629 (50.86) 1432/3529 71/100 3.59 (2.32–5.55) <0.001
 Non-Hispanic Black 1311 (18.37) 433/1289 10/22 1.65 (0.71–3.84) 0.248
 Other Race 337 (4.72) 89/329 4/8 2.70 (0.66–11.01) 0.167
PIR 0.220
 <1 1604 (22.48) 578/1562 30/42 4.26 (2.16–8.38) <0.001
 1–3 2891 (40.52) 1003/2815 43/76 2.35 (1.49–3.73) <0.001
 >3 2640 (370.00) 871/2614 18/26 4.50 (1.95–10.40) <0.001
Education 0.257
 Less Than 9th Grade 776 (10.88) 278/754 10/22 1.43 (0.61–3.35) 0.414
 9–11th Grade 1141 (15.99) 413/1099 28/42 3.32 (1.73–6.38) <0.001
 High School Grad 1709 (23.95) 636/1670 27/39 3.66 (1.84–7.27) <0.001
 Some College degree 2076 (29.10) 752/2043 20/33 2.64 (1.31–5.34) 0.007
 College Graduate 1433 (20.08) 373/1425 6/8 8.46 (1.70–42.10) 0.009
BMI 0.855
 <18.5 120 (1.68) 41/114 3/6 1.78 (0.34–9.23) 0.492
 18.5–24.9 1920 (26.91) 593/1877 27/43 3.65 (1.95–6.83) <0.001
 ≥30 2721 (38.14) 995/2670 34/51 3.37 (1.87–6.06) <0.001
 25.0–29.9 2374 (33.27) 823/2330 27/44 2.91 (1.58–5.37) <0.001
Vigorous exercise 0.488
 No 5407 (75.78) 1840/5292 74/115 3.39 (2.30–4.98) <0.001
 Yes 1728 (24.22) 612/1699 17/29 2.52 (1.19–5.30) 0.015
Moderate exercise 0.381
 No 4096 (57.41) 1391/4014 54/82 3.64 (2.29–5.77) <0.001
 Yes 3039 (42.59) 1061/2977 37/62 2.67 (1.60–4.46) <0.001
Sedentary 0.285
 No 991 (13.89) 383/978 7/13 1.81 (0.60–5.43) 0.288
 Yes 6144 (86.11) 2069/6013 84/131 3.41 (2.37–4.89) <0.001
Smoke 0.701
 No 3630 (50.88) 1045/3623 3/7 1.85 (0.41–8.28) 0.421
 Yes 3505 (49.12) 1407/3368 88/137 2.50 (1.75–3.57) <0.001
Prescription Medication Use 0.083
 No 2987 (41.86) 739/2976 2/11 0.67 (0.15–3.12) 0.613
 Yes 4148 (58.14) 1713/4015 89/133 2.72 (1.88–3.92) <0.001
Marital Status 0.846
 Married 3805 (53.33) 1341/3738 39/67 2.49 (1.53–4.06) <0.001
 Widowed 361 (5.06) 180/337 18/24 2.62 (1.01–6.76) 0.047
 Divorced 819 (11.48) 323/788 22/31 3.52 (1.60–7.74) 0.002
 Separated 278 (3.90) 91/270 6/8 5.90 (1.17–29.82) 0.032
 Never married 1283 (17.98) 318/1275 3/8 1.81 (0.43–7.60) 0.420
 Living with partner 589 (8.26) 199/583 3/6 1.93 (0.39–9.65) 0.423

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

The association between chronic pain and emphysema was significant in individuals <65 years (OR = 3.17, 95% CI: 2.07–4.86, P < 0.001). For individuals ≥65 years, the association remained significant but weaker (OR = 2.06, 95% CI: 1.15–3.68, P = 0.015), indicating a higher comorbidity risk in younger individuals.

Gender

Gender: Males had a significantly higher risk for comorbidity (OR = 3.48, 95% CI: 2.17–5.59, P < 0.001) compared to females (OR = 2.97, 95% CI: 1.81–4.87, P < 0.001).

Race

Non-Hispanic White individuals had the highest odds ratio for comorbidity (OR = 3.59, 95% CI: 2.32–5.55, P < 0.001). Other Hispanic individuals also showed a significant association (OR = 7.04, 95% CI: 1.27–38.89, P = 0.025), while Mexican Americans and Other Race groups did not exhibit statistically significant results.

BMI

Individuals with BMI 18.5–24.9 exhibited the highest odds of comorbidity (OR = 3.65, 95% CI: 1.95–6.83, P < 0.001). Those with BMI ≥ 30 (OR = 3.37, 95% CI: 1.87–6.06, P < 0.001), and individuals with BMI 25.0–29.9 (OR = 2.91, 95% CI: 1.58–5.37, P < 0.001).

Vigorous Exercise

Vigorous exercise was significantly associated with a higher OR for comorbidity (OR = 2.52, 95% CI: 1.19–5.30, P = 0.015), indicating that individuals who engage in more intense exercise are at higher risk of chronic pain and emphysema comorbidity.

Prescription Medication Use

Prescription medication users had the highest OR for comorbidity (OR = 2.72, 95% CI: 1.88–3.92, P < 0.001), while non-users of prescription medications did not exhibit statistically significant results.

Marital Status

Divorced individuals had a significantly higher OR for comorbidity (OR = 3.52, 95% CI: 1.60–7.74, P = 0.002). Additionally, separated individuals showed a significantly higher risk (OR = 5.90, 95% CI: 1.17–29.82, P = 0.032).

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Coronary Heart Disease

Table 12 presents the results of the subgroup analysis examining the comorbid risk factors for chronic pain and coronary heart disease, stratified by various sociodemographic and health factors. The following is the analysis of statistically significant results (P-value < 0.05 and CI does not include 1), highlighting the risk factors associated with chronic pain in individuals with coronary heart disease.

Table 12.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Coronary Heart Disease

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (100.00) 2391/6874 152/261 2.61 (2.03–3.36) <0.001
Age 0.059
 <65 6245 (87.53) 2016/6105 79/140 2.63 (1.87–3.68) <0.001
 ≥65 890 (12.47) 375/769 73/121 1.60 (1.08–2.36) 0.019
Gender 0.311
 Female 3828 (53.65) 1387/3742 57/86 3.34 (2.12–5.24) <0.001
 Male 3307 (46.35) 1004/3132 95/175 2.52 (1.85–3.42) <0.001
Race 0.560
 Mexican American 1296 (18.16) 364/1267 13/29 2.02 (0.96–4.23) 0.064
 Other Hispanic 562 (7.88) 125/552 2/10 0.85 (0.18–4.07) 0.843
 Non-Hispanic White 3629 (50.86) 1397/3460 106/169 2.48 (1.81–3.42) <0.001
 Non-Hispanic Black 1311 (18.37) 418/1269 25/42 2.99 (1.60–5.61) <0.001
 Other Race 337 (4.72) 87/326 6/11 3.30 (0.98–11.08) 0.054
PIR 0.178
 <1 1604 (22.48) 570/1549 38/55 3.84 (2.15–6.86) <0.001
 1–3 2891 (40.52) 983/2787 63/104 2.82 (1.89–4.21) <0.001
 >3 2640 (37.00) 838/2538 51/102 2.03 (1.36–3.02) <0.001
Education 0.661
 Less Than 9th Grade 776 (10.88) 261/732 27/44 2.87 (1.53–5.36) <0.001
 9-11th Grade 1141 (15.99) 407/1085 34/56 2.57 (1.49–4.46) <0.001
 High School Grad 1709 (23.95) 633/1664 30/45 3.26 (1.74–6.10) <0.001
 Some College degree 2076 (29.10) 736/2008 36/68 1.94 (1.20–3.16) 00.007
 College Graduate 1433 (20.08) 354/1385 25/48 3.17 (1.77–5.65) <0.001
BMI 0.455
 <18.5 120 (1.68) 42/118 2/2 10,418,899.46 (0.00–Inf) 0.987
 18.5–24.9 1920 (26.91) 591/1864 29/56 2.31 (1.36–3.94) 0.002
 ≥30 2721 (38.14) 955/2595 74/126 2.44 (1.70–3.52) <0.001
 25.0–29.9 2374 (33.27) 803/2297 47/77 2.91 (1.83–4.64) <0.001
Vigorous exercise 0.562
 No 5407 (75.78) 1797/5202 117/205 2.52 (1.90–3.34) <0.001
 Yes 1728 (24.22) 594/1672 35/56 3.02 (1.74–5.24) <0.001
Moderate exercise 0.109
 No 4096 (57.41) 1356/3953 89/143 3.16 (2.24–4.45) <0.001
 Yes 3039 (42.59) 1035/2921 63/118 2.09 (1.44–3.02) <0.001
Sedentary 0.741
 No 991 (13.89) 368/957 22/34 2.93 (1.43–6.00) 0.003
 Yes 6144 (86.11) 2023/5917 130/227 2.58 (1.97–3.37) <0.001
Smoke 0.116
 No 3630 (50.88) 1002/3547 46/83 3.16 (2.04–4.90) <0.001
 Yes 3505 (49.12) 1389/3327 106/178 2.05 (1.51–2.79) <0.001
Prescription Medication Use 0.034
 No 2987 (41.86) 731/2972 10/15 6.13 (2.09–18.00) <0.001
 Yes 4148 (58.14) 1660/3902 142/246 1.84 (1.42–2.39) <0.001
Marital Status 0.661
 Married 3805 (53.33) 1291/3641 89/164 2.16 (1.58–2.96) <0.001
 Widowed 361 (5.06) 173/323 25/38 1.67 (0.82–3.37) 0.155
 Divorced 819 (11.48) 324/787 21/32 2.73 (1.30–5.74) 0.008
 Separated 278 (3.90) 90/268 7/10 4.61 (1.17–18.27) 0.029
 Never married 1283 (17.98) 316/1273 5/10 3.03 (0.87–10.53) 0.081
 Living with partner 589 (8.26) 197/582 5/7 4.89 (0.94–25.41) 0.059

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

For individuals under 65 years (OR = 2.63, 95% CI: 1.87–3.68, P < 0.001), the association between chronic pain and coronary heart disease is notably strong. In those 65 years and older, the relationship is still significant but weaker (OR = 1.60, 95% CI: 1.08–2.36, P = 0.019), suggesting that the association between chronic pain and coronary heart disease decreases with age.

Gender

Females exhibit a stronger relationship between chronic pain and coronary heart disease, with an OR of 3.34 (95% CI: 2.12–5.24, P < 0.001), indicating a higher risk of comorbid chronic pain in women compared to men. For males, the OR is 2.52 (95% CI: 1.85–3.42, P < 0.001), also indicating a significant association, but the risk is comparatively lower than for females.

Race

Non-Hispanic White individuals have a strong association (OR = 2.48, 95% CI: 1.81–3.42, P < 0.001), which is the highest among different racial groups. Non-Hispanic Black individuals also show a significant association (OR = 2.99, 95% CI: 1.60–5.61, P < 0.001), highlighting the elevated risk for this group. Mexican American individuals (OR = 2.02, 95% CI: 0.96–4.23, P = 0.064) and Other Race (OR = 3.30, 95% CI: 0.98–11.08, P = 0.054) show trends towards increased risk, though these results are on the border of statistical significance.

BMI

BMI 18.5–24.9 individuals have an OR of 2.31 (95% CI: 1.36–3.94, P = 0.002), showing a moderate risk of comorbidity. BMI ≥ 30 individuals (OR = 2.44, 95% CI: 1.70–3.52, P < 0.001), reflecting an increased risk associated with obesity. BMI 25.0–29.9 individuals show the highest OR (OR = 2.91, 95% CI: 1.83–4.64, P < 0.001), suggesting that overweight individuals are at the highest risk of chronic pain and coronary heart disease comorbidity.

Vigorous Exercise

For those not engaging in vigorous exercise, the OR is 2.52 (95% CI: 1.90–3.34, P < 0.001), indicating a strong association between lack of vigorous exercise and comorbid chronic pain and coronary heart disease. Engagement in vigorous exercise was associated with a slightly higher (OR = 3.02, 95% CI: 1.74–5.24, P < 0.001), suggesting that exercise is a protective factor, although the comorbidity risk remains significant.

Prescription Medication Use

Non-users of prescription medications exhibited a significantly higher risk (OR = 6.13, 95% CI: 2.09–18.00, P = 0.011), indicating that those not using prescribed medication are at substantially higher risk for the comorbidity of chronic pain and coronary heart disease. Prescription medication users had a lower but still significant (OR = 1.84,95% CI: 1.42–2.39, P < 0.001).

Marital Status

Divorced individuals had a significantly increased risk of chronic pain and coronary heart disease comorbidity, with an OR of 2.73 (95% CI: 1.30–5.74, P = 0.008). Separated individuals had an even higher OR of 4.61 (95% CI: 1.17–18.27, P = 0.029), indicating that relationship status plays a significant role in the comorbidity.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Asthma

Table 13 presents the results of a subgroup analysis on the comorbid risk factors associated with chronic pain and asthma. The analysis stratified the data based on sociodemographic factors such as age, gender, race, education, and lifestyle factors including exercise, smoking, and medication use. Statistically significant results (P-value < 0.05 and confidence intervals not containing 1) are highlighted below:

Table 13.

Subgroup Analysis of Comorbid Risk Factors for Chronic Pain and Asthma

Variables Event, n (%) Chronic Pain OR (95% CI) P-value P for Interaction
No Yes
All patients 7135 (1000.00) 2090/6080 453/1055 1.44 (1.26–1.64) <0.001
Age 0.067
 <65 6245 (87.53) 1695/5294 400/951 1.54 (1.34–1.78) <0.001
 ≥65 890 (12.47) 395/786 53/104 1.03 (0.68–1.55) 0.892
Gender 0.010
 Female 3828 (53.65) 1137/3182 307/646 1.63 (1.37–1.93) <0.001
 Male 3307 (46.35) 953/2898 146/409 1.13 (0.91–1.41) 0.259
Race <0.001
 Mexican American 1296 (18.16) 332/1185 45/111 1.75 (1.17–2.61) 0.006
 Other Hispanic 562 (7.88) 97/484 30/78 2.49 (1.50–4.14) <0.001
 Non-Hispanic White 3629 (50.86) 1239/3049 264/580 1.22 (1.02–1.46) 0.029
 Non-Hispanic Black 1311 (18.37) 354/1071 89/240 1.19 (0.89–1.60) 0.233
 Other Race 337 (4.72) 68/291 25/46 3.90 (2.06–7.41) <0.001
PIR 0.014
 <1 1604 (22.48) 467/1314 141/290 1.72 (1.33–2.22) <0.001
 1–3 2891 (40.52) 851/2461 195/430 1.57 (1.28–1.93) <0.001
 >3 2640 (370.00) 772/2305 117/335 1.07 (0.84–1.36) 0.604
Education 0.010
 Less Than 9th Grade 776 (10.88) 248/703 40/73 2.22 (1.37–3.62) 0.001
 9–11th Grade 1141 (15.99) 344/947 97/194 1.75 (1.28–2.39) <0.001
 High School Grad 1709 (23.95) 562/1464 101/245 1.13 (0.85–1.48) 0.399
 Some College degree 2076 (29.10) 607/1723 165/353 1.61 (1.28–2.03) <0.001
 College Graduate 1433 (20.08) 329/1243 50/190 0.99 (0.70–1.40) 0.965
BMI 0.514
 <18.5 120 (1.68) 35/101 9/19 1.70 (0.63–4.56) 0.295
 18.5–24.9 1920 (26.91) 506/1639 114/281 1.53 (1.18–1.98) 0.001
 ≥30 2721 (38.14) 812/2250 217/471 1.51 (1.24–1.85) <0.001
 25.0–29.9 2374 (33.27) 737/2090 113/284 1.21 (0.94–1.56) 0.136
Vigorous exercise 0.682
 No 5407 (75.78) 1575/4619 339/788 1.46 (1.25–1.70) <0.001
 Yes 1728 (24.22) 515/1461 114/267 1.37 (1.05–1.78) 0.020
Moderate exercise 0.555
 No 4096 (57.41) 1192/3512 253/584 1.49 (1.25–1.78) <0.001
 Yes 3039 (42.59) 898/2568 200/471 1.37 (1.12–1.68) 0.002
Sedentary 0.191
 No 991 (13.89) 330/849 60/142 1.15 (0.80–1.65) 0.445
 Yes 6144 (86.11) 1760/5231 393/913 1.49 (1.29–1.72) <0.001
Smoke 0.307
 No 3630 (50.88) 899/3180 149/450 1.26 (1.02–1.55) 0.034
 Yes 3505 (49.12) 1191/2900 304/605 1.45 (1.22–1.73) <0.001
Prescription Medication Use 0.522
 No 2987 (41.86) 651/2667 90/320 1.21 (0.94–1.57) 0.146
 Yes 4148 (58.14) 1439/3413 363/735 1.34 (1.14–1.57) <0.001
Marital Status 0.649
 Married 3805 (53.33) 1180/3336 200/469 1.36 (1.12–1.65) 0.002
 Widowed 361 (5.06) 168/313 30/48 1.44 (0.77–2.69) 0.254
 Divorced 819 (11.48) 261/659 84/160 1.69 (1.19–2.39) 0.003
 Separated 278 (3.90) 76/233 21/45 1.81 (0.95–3.45) 0.073
 Never married 1283 (17.98) 250/1049 71/234 1.39 (1.02–1.90) 0.038
 Living with partner 589 (8.26) 155/490 47/99 1.95 (1.26–3.03) 0.003

Abbreviations: OR, Odds Ratio; CI, Confidence Interval; PIR, Poverty income ratio; BMI, body mass index.

Age

Among those younger than 65 years, the association remains strong (OR = 1.54, 95% CI: 1.34–1.78, P < 0.001). However, those aged 65 years or older show no significant association (OR = 1.03, 95% CI: 0.68–1.55, P = 0.892), suggesting that age might modulate the impact of asthma on chronic pain risk.

Gender

Females show a significant association with chronic pain and asthma (OR = 1.63, 95% CI: 1.37–1.93, P < 0.001), highlighting a stronger link in women. Males do not show a significant relationship (OR = 1.13, 95% CI: 0.91–1.41, P = 0.259), indicating that gender might influence the association between asthma and chronic pain.

Race

Race: Mexican Americans show a significant risk (OR = 1.75, 95% CI: 1.17–2.61, P = 0.006), indicating a higher likelihood of chronic pain in this group. Other Hispanic individuals exhibit a very strong association (OR = 2.49, 95% CI: 1.50–4.14, P < 0.001), which is one of the highest among racial groups. Non-Hispanic White individuals also show significant results (OR = 1.22, 95% CI: 1.02–1.46, P = 0.029). Non-Hispanic Black individuals did not show a significant relationship (OR = 1.19, 95% CI: 0.89–1.60, P = 0.233).

BMI

BMI 18.5–24.9 (OR = 1.53, 95% CI: 1.18–1.98, P = 0.001) and BMI ≥ 30 (OR = 1.51, 95% CI: 1.24–1.85, P < 0.001) show significant associations with chronic pain in those with asthma. BMI 25.0–29.9 shows no significant association (OR = 1.21, 95% CI: 0.94–1.56, P = 0.136).

Vigorous Exercise

Non-participants in vigorous exercise show a significant association (OR = 1.46, 95% CI: 1.25–1.70, P < 0.001). Participants in vigorous exercise show a slightly weaker but still significant association (OR = 1.37, 95% CI: 1.05–1.78, P = 0.020).

Prescription Medication Use

Non-users of prescription medication did not show a significant relationship (OR = 1.21, 95% CI: 0.94–1.57, P < 0.001). Prescription medication users show a significantly lower risk (OR = 1.45, 95% CI: 1.00–1.73, P < 0.001).

Marital Status

Divorced individuals show a significant risk (OR = 1.69, 95% CI: 1.19–2.39, P = 0.003). Separated individuals also show no significant association (OR = 1.81, 95% CI: 0.95–3.45, P = 0.029). Married individuals show a significant but lower association (OR = 1.36, 95% CI: 1.12–1.65, P = 0.002).

Discussion

This study analyzed data from 7,135 adults in the NHANES database to examine the comorbid relationship between chronic pain and various chronic diseases. Unlike most existing studies that focus on the association between chronic pain and individual chronic conditions, this study is the first to provide a comprehensive analysis of the comorbidity between chronic pain and multiple chronic diseases, including arthritis, renal failure, liver disease, and congestive heart failure. This approach fills a critical gap in the integration of chronic pain into the management of chronic diseases. Our findings reveal significant comorbid associations between chronic pain and these chronic conditions, with these associations remaining significant even after adjusting for demographic characteristics, social factors, and behavioral patterns. Notably, the association with arthritis was the most pronounced (OR = 3.07, 95% CI: 2.71−3.48), aligning with existing literature. For instance, the disease activity in rheumatoid arthritis is closely linked to pain and functional impairment, and arthritis promotes chronic pain through immune response activation of glial cells.20–22 This study further reinforces the widespread presence of chronic pain in patients with joint diseases.

Furthermore, we found that factors such as smoking, prescription medication use, and bereavement are closely associated with the occurrence of chronic pain. Smoking has been shown to activate dopamine pathways in the anterior cingulate cortex, leading to hyperalgesia.23,24 Similarly, a 2024 epidemiological survey found that smokers have a 24% increased risk of chronic pain.25 Regarding prescription medications, chronic pain patients may develop a dependency cycle when using pain-relieving drugs, which exacerbates their pain perception.26,27 The association between widowed and chronic pain has been observed in epidemiological studies, although the underlying mechanisms remain unclear.28 Future research could further investigate the potential mechanisms by which bereavement influences chronic pain.

In further subgroup analyses, we found that individuals under the age of 65 who do not engage in moderate physical activity exhibit the highest risk of chronic pain comorbidity. This result is consistent with existing literature.29,30 Notably, in patients with diseases such as arthritis, renal failure, liver disease, and emphysema, male patients exhibited a more significant risk of chronic pain comorbidity, whereas in patients with congestive heart failure, chronic bronchitis, coronary heart disease, and asthma, female patients had a higher risk. This gender difference may be related to the distinct physiological and psychological mechanisms underlying pain experience and treatment responses between genders. Therefore, future research should explore the role of gender differences in the comorbidity between chronic pain and chronic diseases.

Additionally, smokers with renal failure, liver disease, and emphysema exhibited a significantly higher risk of chronic pain comorbidity, which aligns with the negative effects of smoking on inflammation and pain perception.31–33 We also found that patients with arthritis, renal failure, and liver disease who did not use prescription medications had a higher risk of chronic pain comorbidity, potentially due to inadequate pain control in the chronic management of these diseases. For example, patients with chronic kidney disease, especially in its later stages, are generally advised against the routine use of nonsteroidal anti-inflammatory drugs (NSAIDs) for pain relief, as these medications can inhibit prostaglandin production and exacerbate kidney function deterioration.34

Although diabetes is known to be a risk factor for chronic pain, we were unable to find a significant association between diabetes and chronic pain in this study.35,36 We speculate that this may be due to better disease control in diabetic patients, particularly those with a shorter disease duration or those well-managed, who may not exhibit significant neuropathic pain. Additionally, the study did not differentiate between types of chronic pain, such as neuropathic pain and musculoskeletal pain, which may have contributed to the lack of observed association with diabetes-related pain. Future research should consider including pain type as a factor to more accurately assess the impact of diabetes on chronic pain.

Overall, the innovation of this study lies in its comprehensive analysis of the relationship between chronic pain and multiple chronic diseases, rather than focusing solely on a single disease. This holistic approach offers a new perspective for managing chronic diseases, emphasizing the need to integrate chronic pain into the comprehensive management of these conditions. Particularly in early diagnosis and treatment, it is essential to consider the patient’s chronic pain status and its potential impact on the progression of chronic diseases. As the population of chronic disease patients continues to grow, future clinical efforts should focus more on the early recognition and intervention of chronic pain.

Finally, although this study provides valuable insights into the comorbidity between chronic pain and chronic diseases, several limitations must be acknowledged. First, the study used a cross-sectional design, which limits causal inference. Longitudinal studies are needed to better understand the causal relationship between chronic pain and chronic diseases. Second, while we controlled for multiple covariates, factors such as mental health (eg, anxiety, depression) and medication history, were not fully incorporated into the analysis due to data limitations. Future studies should consider these factors. Lastly, although the NHANES dataset is highly representative, reliance on self-reported diagnoses may introduce information bias. Future research could combine biomarker data and other objective measures to reduce this bias.

Conclusions

This study is the first to comprehensively analyze the relationship between chronic pain and multiple chronic diseases, revealing significant comorbid associations between chronic pain and various conditions, including arthritis, renal failure, and liver disease. Notably, the strongest association was observed with arthritis, supporting the widespread occurrence of chronic pain in patients with joint diseases. Additionally, social and behavioral factors such as smoking, prescription medication use, and bereavement were found to significantly influence the occurrence of chronic pain.

The findings emphasize that chronic pain should be integrated into the comprehensive management of chronic diseases, particularly during early diagnosis and treatment. Future studies should adopt longitudinal designs to further explore the causal relationship between chronic pain and chronic diseases and take into account pain type and the management of conditions such as diabetes.

Acknowledgments

All data used in this study were obtained from the NHANES database. We are very grateful to all NHANES staff and participants for their contributions to this study.

Funding Statement

The work was supported by Yunan Xing Dian Talent Support Project-Famous Doctor Project (grant NO. XDYC-MY-2022-0071), Yunnan Fundamental Research Projects (grant NO. 202301BE070001-008), and Medical Joint Special Project of Kunming University of Science and Technology (grant NO. KUST-AN2023003Z).

Abbreviations

BMI, body mass index; PIR, poverty income ratio; CDC, Centers for Disease Control and Prevention; NHANES, National Health and Nutrition Examination Survey; SD, standard deviation.

Ethics Approval and Informed Consent

This study utilized de-identified, publicly available data from the National Health and Nutrition Examination Survey (NHANES) database. According to the Measures for Ethical Review of Life Science and Medical Research Involving Human Subjects (issued by the National Health Commission of China et al on February 18, 2023), research involving the use of such publicly available informational data is exempt from ethical review. Therefore, no separate ethics committee approval was required for this analysis. The original NHANES protocols were reviewed and approved by the National Center for Health Statistics (NCHS) Ethics Review Board, and all participants provided informed consent. NHANES data collection complies with strict US federal confidentiality laws, including Section 308(d) of the Public Health Service Act.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

Wei Yang, Shunli Cai, Xuesong Chen, Yan Dong, Fusong Yang, Hua Yang, Rong Wang and Guozhong Zhou report grants from The Affiliated Anning First People’s Hospital of Kunming University of Science and Technology, during the conduct of the study. The authors declare no other competing interests in this work.

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