Prevalence of TMD and level of chronic pain in a group of Brazilian adolescents

AbstractObjectivesTo determine the prevalence of temporomandibular disorder and associated factors in an adolescent sample from Recife, Brazil.Materials and MethodsA cross-sectional study was conducted with 1342 adolescents aged 10-17 years. The Research Diagnostic Criteria for Temporomandibular Disorder (RDC/TMD) was used by calibrated examiners to evaluate the presence and levels of chronic pain. To evaluate the socioeconomic conditions, the Brazilian Economic Classification Criteria (CCEB) questionnaire was answered by the subjects. Data were analyzed by means of binary logistic regression in SPSS.ResultsThe results showed that 33.2% of the subjects had TMD irrespective of age (p= 0.137) or economic class (p=0.507). Statistically significant associations were found between TMD and gender (p= 0.020), headache/migraine in the past six months (p=0,000) and the presence of chronic pain (p=0,000). In final model, logistic regression showed that chronic pain contributes to the presence of TMD.ConclusionsThe prevalence of TMD was considered high (33.2%) and adolescents with chronic pain were more likely to have TMD.Clinical RelevanceThe data contribute to the understanding of TMD among adolescents and to the development of preventive measures and polices to identify the dysfunction promptly.

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MO376CLINICAL OUTCOMES OF ACUTE KIDNEY INJURY FOLLOWING SNAKE BITE INJURIES

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfab082.0030 ◽

2021 ◽

Vol 36 (Supplement_1) ◽

Author(s):

Weerakit Naweera ◽

Thapat Wannarong

Keyword(s):

Acute Kidney Injury ◽

Logistic Regression ◽

Kidney Injury ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Renal Recovery ◽

Binary Logistic Regression Analysis ◽

Cross Sectional ◽

Hospital Arrival ◽

Russell’S Viper

Abstract Background and Aims Snakebite is a common animal bite injury in tropical countries. Acute kidney injury (AKI) is an important complication in snakebite patients. This study aimed to comprehensively investigate the clinical profiles and outcomes of patients following hematotoxin-related snakebite associated with kidney impairment. Method We conducted a hospital-based, cross-sectional study of 238 patients with hematotoxin-related snakebite injuries. Data were retrieved from the King Narai Hospital Registry from October 2014 to August 2020. The prevalence of complications associated with snakebite injuries, including acute kidney injury (AKI) and its severity, was determined. Univariate and Multivariate predictors of AKI diagnosis were evaluated using binary logistic regression analysis Results A total of 238 patients, with 63.4% men, median (IQR) age 49.8 (39-61) years and median duration from injury to a hospital arrival of 1 hour (0.5-2) hours, were injured by Green pit viper (85.7%), Russell’s viper (12.6%) and Malayan pit viper (1.7%). AKI mostly occurred in Russell’s viper group 66.7%. An AKI was reported in thirty (12.6%, 95% CI: 8.7 % - 17.5%) patients, with the severity of 66.7% stage one, 6.7% stage two, 26.6% stage three by KDIGO classifications, and 13.3% requiring hemodialysis. Complete renal recovery was seen in twenty-two patients (73.3%), while partial renal recovery was 23.3%. Other complications included 84.4 % limb cellulitis, 4.6% significantly bleeding, 2.5% hypotension, 25.6% prolonged venous clotting time (VCT), 46.7% prolonged prothrombin time (PT), and 14.3% prolonged partial thromboplastin time (PTT). Of total patients, 60.1% were treated with anti-venom. Mortality was relatively low (0.4%). In multivariable logistic regression analyses, AKI was significantly associated with time to hospital arrival more than 3 hours (p = 0.04), Russell’s viper bitten (p = 0.01), clinical bleeding (p = 0.01), and prolonged PT (p < 0.01). Conclusion The prevalence of AKI in patients bitten by hematotoxin snakes was 12.6%, mostly from Russell’s viper. Factors associated with AKI outcomes were time to hospital arrival more than 3 hours, Russell’s viper bitten, clinical bleeding, and prolonged PT. Besides, one-fourth of AKI patients turned to chronic kidney disease.

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A predictive model for early diagnosis of keratoconus

10.21203/rs.2.21162/v3 ◽

2020 ◽

Author(s):

GRACIA CASTRO-LUNA ◽

ANTONIO PÉREZ-RUEDA

Keyword(s):

Logistic Regression ◽

Predictive Model ◽

Early Stage ◽

Corneal Thickness ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Bivariate Analysis ◽

Diagnostic Model ◽

Binary Logistic Regression Model ◽

Cross Sectional

Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore, to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models Methods: The design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 early-stage keratoconus and 83 established keratoconus. The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of early-stage keratoconus was calculated with the statistically significant variables Results: Statistically significant differences were observed when comparing normal corneas with early-stage keratoconus/ in variables of the vertical asymmetry to 90º and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90º and posterior coma to 90º. The model properly diagnosed 92% of cases with a sensitivity of 97.59%, specificity 98.78%, accuracy 98.18% and precision 98.78%Conclusions: The differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90º and the posterior coma to 90º.

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A model of visual limitation in patients with keratoconus

Scientific Reports ◽

10.1038/s41598-020-76489-1 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Antonio Pérez-Rueda ◽

Gracia Castro-Luna

Keyword(s):

Visual Acuity ◽

Logistic Regression ◽

Operating Characteristic ◽

Spherical Aberration ◽

Area Under The Curve ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Binary Logistic Regression Model ◽

Cross Sectional ◽

Corrected Visual Acuity

Abstract This paper aims to calculate a relevance model of visual limitation (V.L.) in keratoconus patients based on refractive and topographic parameters. A cross-sectional study was carried out in Torrecárdenas Hospital, Almería, Spain, between February 2018 and July 2019. It included 250 keratoconus patients. Two groups were created according to a grading system of V.L. based on RETICS (Red Temática de Investigación Cooperativa en Salud) classification: keratoconus patients with no V.L. (best spectacle-corrected visual acuity (BSCVA) ≤ 0.05 logMAR) and keratoconus patients with V.L. (BSCVA > 0.05 logMAR). Correlations and a binary logistic regression were established. V.L. was correlated with maximum curvature (r = 0.649, p < 0.001) and root mean square higher-order aberrations (HOARMS) (r = 0.625, p < 0.001). Binary logistic regression included V.L. as the dependent variable and spherical equivalent, HOARMS, spherical aberration and interaction between the anterior and posterior vertical coma as independent variables. The model was a good fit. Area under the curve (A.U.C.) of receiver operating characteristic (R.O.C.) curve was 0.924, sensitivity 91.90%, specificity 83.60%, accuracy 88.94%; and precision 91.17%. Binary logistic regression model of V.L. is a good fit model to predict the early loss of visual acuity in keratoconus patients.

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Serum Analysis in Patients with Temporomandibular Disorders: A Controlled Cross-Sectional Study in Norway

Pain Research and Management ◽

10.1155/2019/1360725 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9

Author(s):

Kordian Staniszewski ◽

Henning Lygre ◽

Trond Berge ◽

Annika Rosén

Keyword(s):

Temporomandibular Disorder ◽

Systemic Disease ◽

Cross Sectional Study ◽

Control Group ◽

Individual Subject ◽

Cross Sectional ◽

Inflammatory Conditions ◽

And Gender ◽

Severe Systemic Disease ◽

Masticatory Apparatus

Temporomandibular disorder (TMD) is characterized by pain and dysfunction in the temporomandibular join (TMJ) and the masticatory apparatus. Associations with autoimmune diseases, inflammatory conditions, and nutrition deficiencies have been reported in previous studies of TMD patients. To evaluate essential proteins, hormones, electrolytes, and vitamins in serum from TMD patients, a standard blood sample analysis was performed in 60 TMD patients and 60 healthy controls matched for age and gender, retrieving 19 different analyses. We found that TMD patients had significantly higher values of hemoglobin (p=0.036), cobalamin (p=0.023), albumin (p=0.005), parathyroid hormone (PTH) (p=0.038), and vitamin D (p=0.005), and significantly lower values of creatinine (p=0.006) and potassium (p=0.011), compared to controls. In the TMD group, most of the determinants had a wider range, and several subjects, compared to the control group, had values outside the normal reference area. However, most of the TMD patients and controls had values within normal biological range. Our findings could not associate any severe systemic disease, malnutrition, or systemic inflammation with the TMD. Results from our study suggest that serum analyses should neither be used as a biomarker of TMD nor a diagnostic tool for an individual subject with TMD.

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A predictive model for early diagnosis of keratoconus

10.21203/rs.2.21162/v2 ◽

2020 ◽

Author(s):

GRACIA CASTRO-LUNA ◽

ANTONIO PÉREZ-RUEDA

Keyword(s):

Logistic Regression ◽

Predictive Model ◽

Corneal Thickness ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Bivariate Analysis ◽

Diagnostic Model ◽

Binary Logistic Regression Model ◽

Cross Sectional ◽

Logistic Regression Models

Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models Methods: The design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 subclinical keratoconus and 83 established keratoconus The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of subclinical keratoconus was calculated with the statistically significant variables Results: Statistically significant differences were observed when comparing normal corneas with subclinical keratoconus/ in variables of the vertical asymmetry to 90º and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90º and posterior coma to 90º. The model properly diagnosed 92% of cases Conclusions: The differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90º and the posterior coma to 90º.

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Antenatal care use and its determinants among migrant women during the first delivery: a nation-wide cross-sectional study in China

BMC Pregnancy and Childbirth ◽

10.1186/s12884-019-2520-3 ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Xue Tang ◽

Lulu Ding ◽

Yuejing Feng ◽

Yi Wang ◽

Chengchao Zhou

Keyword(s):

Logistic Regression ◽

Antenatal Care ◽

Pregnant Women ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Multivariate Logistic Regression Model ◽

Migrant Women ◽

Cross Sectional ◽

Logistic Regression Models ◽

Primiparous Women

Abstract Background Reasonable use of antenatal care (ANC) services by pregnant women played a crucial role in ensuring maternal and child safety and reducing the risk of complications, disability, and death in mothers and their infants. This study aimed to investigate the ANC use, and to explore the factors associated with ANC use among migrant women during the first delivery in China. Methods This study used the data of National Health and Family Planning Commission of People Republic of China in 2014. A total of 1505 migrant primiparous women were included in our current analysis. Frequencies and proportions were used to describe the data. Chi-square tests and multivariate binary logistic regression models were performed to explore the determinants that affect the number of times migrant women used ANC during their first delivery. Results Of the 1505 participants, 279 (18.54%) women received the ANC less than 5 times, and 1226 (81.46%) women used the ANC at least 5 times during the first delivery. The multivariate logistic regression model showed that migrant primiparous women with college and above education(P < 0.05;OR = 2.57;95%CI = 1.19–5.55), from the households with higher monthly income (P < 0.01;OR = 2.01;95%CI = 1.30–3.13), covered by maternity insurance(P < 0.01;OR = 2.01;95%CI = 1.28–3.18), with maternal health records (P < 0.001;OR = 2.44;95%CI = 1.61–3.69), migrating across county (P < 0.05;OR = 2.57;95%CI = 1.14–5.81), having migration experience before pregnancy(P < 0.05;OR = 1.37;95%CI = 1.03–1.81) were more likely to use ANC for at least five times. Conclusions This study demonstrated that there were still some migrant maternal women (18.54%) who attended the ANC less than 5 times. Targeted policies should be developed to improve the utilization of ANC among migrant pregnant women.

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Prevalence and factors associated with functional dependency in homebound elderly people in Brazil

Journal of Human Growth and Development ◽

10.7322/jhgd.127747 ◽

2017 ◽

Vol 27 (2) ◽

pp. 235

Author(s):

Gracielle Pampolim ◽

Christiane Lourenço ◽

Vanezia Gonçalves da Silva ◽

Maria Carlota De Rezende Coelho ◽

Luciana Carrupt Machado Sogame

Keyword(s):

Logistic Regression ◽

Elderly People ◽

Low Income ◽

Functional Independence Measure ◽

Binary Logistic Regression ◽

Functional Independence ◽

Cross Sectional Study ◽

Functional Dependency ◽

Cross Sectional ◽

Low Education

Introduction: Population ageing is a worldwide reality that requires attention, and a concern for healthy and functional ageing is increasingly the focus of government policies and programmes.Objective: To identify the prevalence of homebound elderly people, and the influence of sociodemographic and economic characteristics on their functional dependency.Methods: Cross-sectional study with 178 homebound elderly people assisted by a family healthcare unit in Vitória, ES, Brazil. Functional independence was measured by the Functional Independence Measure (FIM) and the sociodemographic and economic variables were collected by a questionnaire developed by the authors. Binary logistic regression was used to determine the influence of the sociodemographic and economic characteristics on the risk of being functionally dependent.Results: Forty-eight percent of the participants were functional dependents, 80% were female, 72% belonged to the fourth age, 74% were white, 63% were widowed, 78% had retired, 90% had children, 83% had a caregiver, 52% had low education and 40% had low income. Logistic regression indicated that having a caregiver increased by 40 times the chance of being functionally dependent (OR = 40.2; 95%CI 4.8–355.4) and having between one to eight years of education decreased the chance of functional dependency (OR = 0.2; 95%CI 0.04-0.9).Conclusions: The prevalence of functional dependency was very high in this sample, and since the presence of a caregiver was the strongest and significant predictor of functional dependency, we suggest that guidance and support should be offered to caregivers, followed by a family healthcare strategy, to make consistent efforts with the objective of improving functional recovery and independence of homebound elderly.

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AB0896-HPR THE EVALUATION OF TYPE D PERSONALITY AND SELF-ESTEEM IN PATIENTS WITH FIBROMYALGIA

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.3155 ◽

2021 ◽

Vol 80 (Suppl 1) ◽

pp. 1471.2-1472

Author(s):

N. Gokcen ◽

I. Coskun Benlidayi ◽

L. Tamam ◽

M. E. Demirkol ◽

C. Yesiloglu ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Binary Logistic Regression ◽

Self Esteem ◽

Cross Sectional Study ◽

Type D Personality ◽

Binary Logistic Regression Analysis ◽

Cross Sectional ◽

Type D

Background:Fibromyalgia (FM) is a condition characterized by chronic widespread pain, fatigue, sleep disturbances. Etiopathogenesis remains unclear; however, growing data regarding the effect of psychosocial factors on disease etiopathogenesis have drawn attention. Psychosocial elements such as type D personality and low level of self-esteem might increase disease burden (1). Accordingly, many researchers so far, have examined psychological parameters in FM and a limited number of studies focused on the personality type among patients with FM (2-5).Objectives:The current study aimed to investigate type D personality and self-esteem in patients with FM.Methods:Female patients with fibromyalgia and age-matched healthy controls were enrolled in this cross-sectional study. Type D personality was evaluated by using the type D scale (DS-14). The Rosenberg self-esteem scale (RSES) was used to assess self-esteem and psychosomatic symptoms. Psychological status was evaluated by the Beck Depression and Beck Anxiety Inventories. Fibromyalgia Impact Questionnaire (FIQ) was performed to assess functional impairment and health status in patients with FM. The potential confounders of type D personality were evaluated by binary logistic regression analysis.Results:Seventy patients with FM and 60 controls were included. Type D personality was observed in 58.6% of the patients and in 21.7% of the control group (p<0.001). When compared to patients with non-type D personality, those with type D personality revealed lower self-esteem and poorer health status (p<0.05 for both), higher anxiety and depression scores (p<0.001 for both). According to binary logistic regression analysis, depression (β=1.178, Cl 95% 1.055−1.316, p=0.004) and lower education level (β=0.818, Cl 95% 0.682−0.982, p=0.031) were significantly related to type D personality in FM (Table 1).Conclusion:Type D personality is more common in female patients with FM when compared to healthy women. Patients with type D personality have lower level of self-esteem when compared to those with non-type D personality. Depression and lower education level are potential confounders of type D personality in FM.References:[1]Bazzichi L, Giacomelli C, Consensi A, Giorgi V, Batticciotto A, Di Franco M, Sarzi-Puttini P (2020) One year in review 2020: fibromyalgia. Clin Exp Rheumatol 38 Suppl 123(1):3-8.[2]Conversano C, Marchi L, Ciacchini R, Carmassi C, Contena B, Bazzichi LM, Gemignani A (2018) Personality Traits in Fibromyalgia (FM): Does FM Personality Exists? A Systematic Review. Clin Pract Epidemiol Ment Health 14:263.[3]Türkoğlu G, Selvi Y (2020) The relationship between chronotype, sleep disturbance, severity of fibromyalgia, and quality of life in patients with fibromyalgia. Chronobiol Int 37(1):68-81.[4]Garip Y, Güler T, Bozkurt Tuncer Ö, Önen S (2019) Type D Personality is Associated With Disease Severity and Poor Quality of Life in Turkish Patients With Fibromyalgia Syndrome: A Cross-Sectional Study. Arch Rheumatol 35(1):13-19.[5]Ablin JN, Zohar AH, Zaraya-Blum R, Buskila D (2016) Distinctive personality profiles of fibromyalgia and chronic fatigue syndrome patients. PeerJ 4:e2421.Table 1.Binary logistic regression analysis for the evaluation of potential confounders of type D personality in patients with fibromyalgia.WaldSEβ (95%CI)pEducation (years)4.6640.0930.818 (0.682−0.982)0.031Occupation duration (years)0.1160.0371.013 (0.942−1.089)0.733Self-esteem scale (D1)0.3690.4230.774 (0.338−1.771)0.544BDI8.4460.0561.178 (1.055−1.316)0.004BAI0.7890.0321.029 (0.966−1.095)0.374BDI: Beck Depression Inventory, BAI: Beck Anxiety Inventory, SE: standard error, CI: confidence intervalDisclosure of Interests:None declared

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Elementary school enrolment and its determinants among children with cerebral palsy in Thiruvananthapuram district, Kerala, India

Journal of Neurosciences in Rural Practice ◽

10.4103/0976-3147.116446 ◽

2013 ◽

Vol 04 (S 01) ◽

pp. S40-S44 ◽

Cited By ~ 2

Author(s):

Thekkumkara Surendran Nair Anish ◽

Reshmi Ramachandran ◽

P Sivaram ◽

Seetha Mohandas ◽

Archana Sasidharan ◽

...

Keyword(s):

Logistic Regression ◽

Cerebral Palsy ◽

Formal Education ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

School Enrollment ◽

Outcome Variable ◽

Binary Logistic Regression Analysis ◽

Cross Sectional ◽

Children With Cerebral Palsy

ABSTRACT Context: There is enough documented evidence to prove the benefits of early and appropriate initiation of education among children with cerebral palsy (CP). Aim: To find out the proportion of children with CP who are enrolled for some kind of formal education and to study the determinants of the same. Setting and Design: This cross sectional study was done among children, attending the special clinics at government medical college, Thiruvananthapuram. Materials and Methods: Children between 3 and 12 years of age diagnosed with CP were subjects for the study. Statistical Analysis Used: Enrollment for any form of formal education was the major outcome variable. The factors associated with initiation of formal education were tested using Chi-square test or Fischer′s exact test. Independent association of each factor was evaluated through binary logistic Regression analysis. Results and Conclusions: The mean (SD) age of the children (n = 86) was 5.7 (2.3) years with forty-six (53.5%) of them being girls. Diplegia was the commonest limb abnormality found. Fifty-two (60.5%) children were undergoing some kind of schooling. Those children who were less dependent physically and those who had achieved better language development were regular school goers. After binary logistic regression the ability of a child to speak in sentences (P = 0.008) and ambulatory level of the child (P = 0.019) were factors which favored, whereas delay in attaining the adaptive developmental milestone of transferring objects from one hand to another (P = 0.014) was found to be detrimental for school enrollment.

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Association of coffee and caffeine intake with irritable bowel syndrome in adults

10.21203/rs.3.rs-35477/v1 ◽

2020 ◽

Author(s):

Glareh Koochakpoor ◽

Asma Salari-Moghaddam ◽

Ammar Hassanzadeh Keshteli ◽

Ahmad Esmaillzadeh ◽

Peyman Adibi

Keyword(s):

Logistic Regression ◽

Adult Population ◽

Binary Logistic Regression ◽

Positive Association ◽

Cross Sectional Study ◽

Caffeine Intake ◽

Dietary Intakes ◽

Caffeine Consumption ◽

Significant Positive Association ◽

Cross Sectional

Abstract Background: The aim of this study was to investigate the association between coffee and caffeine intake and odds of IBS and its severity in adult population. Methods: In this cross-sectional study, dietary intakes of 3363 Iranian adults were examined using a validated dish-based 106-item Semi-quantitative Food Frequency Questionnaire (DS-FFQ). Coffee and caffeine intake was assessed using the DS-FFQ. IBS was assessed using a modified Persian version of Rome III questionnaire. Binary logistic regression, in which the effect of several potential confounders were controlled for, was used to examine the association between coffee and caffeine intake and prevalence of IBS and its subtypes. To identify the association with severity of IBS symptoms, we applied ordinal logistic regression. Results: After adjustment for potential confounders, we found that individuals who were taking coffee weekly or more had greater odds of IBS (OR:1.50; 95% CI: 1.07-2.11) than those who never drinking coffee. In addition, participants in the top tertile of caffeine intake had 49% greater odds of IBS compared to those in the bottom tertile (OR: 1.49; 95% CI: 1.16-1.90). By gender, this association was observed among women, but not in men (for coffee: OR: 1.50; 95% CI: 1.00-2.57 and for caffeine: OR: 1.50; 95% CI: 1.12-2.02). In addition, a significant positive association was seen between caffeine intake and odds of IBS among subjects with BMI≥25 kg/m2 (OR: 1.76; 95% CI: 1.22-2.53). There was no significant association between coffee and caffeine intake and IBS severity.Conclusion: Coffee and caffeine consumption was associated with increased odds of IBS, in particular among women and those with BMI ≥ 25 kg/m2.

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