Significant Predictors Research Articles

Cultivating sustainable environmental performance: The role of green talent management, transformational leadership, and employee engagement with green initiatives.

The success of organizations' sustainable performance mainly depends on their human resource capital and for this organizations now need to focus on green human capital development programs including green talent management (GTM). GTM entails attracting, nurturing, and retaining those people who can promote the green initiatives of the organization. This paper aims to investigate the impact of GTM, transformational leadership, and employee engagement on the sustainable environmental performance of organizations. The data were collected from both academic and administrative employees in five Omani higher education institutions (HEIs). In total 367 questionnaires were collected using drop-off and pickup methods. The results of the study showed that green hard and green soft talent management (TM) and employee engagement with green initiatives are significant predictors of the sustainable environmental performance of HEIs. Moreover, transformational leadership can moderate the influence of green soft TM on employee engagement with green initiatives by strengthening the relationship. For sustainable performance and development, organizations especially HEIs need to actively assume their social responsibilities and implement sustainable environmental management. The present study provides meaningful implications for practitioners, educational policymakers, and leaders to promote GTM and employee engagement for sustainable environmental performance. Supporting green skill development, engaging employees with green initiatives, and promoting staff with green skills can help organizations particularly HEIs to increase their sustainable environmental performance and gain a competitive advantage.

On the Overlap of Commercial Sexual Exploitation and Intimate Partner Violence: An Exploratory Examination of Trauma-Related Shame.

Every year, millions of people experience intimate partner violence (IPV) and commercial sexual exploitation (CSE), with researchers increasingly discussing the overlap between these two forms of interpersonal violence. However, researchers have not yet used quantitative methods to examine the link between IPV and CSE or to explore potential mechanisms underlying the overlap, including child maltreatment risk factors and psychological mechanisms. One potential mechanism is trauma-related shame, a symptom of post-traumatic stress disorder commonly experienced by both victims of CSE and IPV. The current study explores trauma-related shame, childhood maltreatment, and IPV and their associations with CSE using a sample of 174 primarily Black women. Binomial logistic regression is used to analyze the impact of IPV, child abuse and neglect, and trauma-related shame on CSE. Results indicate that IPV and trauma-related shame are both significant predictors of CSE. Implications for future research and the incorporation of shame in trauma-related treatment are discussed.

Sociodemographic and Psychosocial Factors Affecting the Psychological Well-being of Preoperative Surgical Patients

PurposeThis study aimed to determine the subjective psychological well-being levels and sociodemographic and psychosocial factors affecting the psychological well-being of preoperative surgical patients. DesignThis was a cross-sectional study. MethodsThis study was conducted between January 15, 2021 and July 15, 2021. The sample consisted of 236 surgical patients in a public hospital in the Thrace region of Turkey. Data were collected using a personal information form and the five-item World Health Organization Well-Being Index (WHO-5). The data were analyzed using numbers, percentages, mean, standard deviation, independent samples t test, one-way analysis of variance, Tukey's multiple comparison test, and linear regression analysis. FindingsParticipants had a mean WHO-5 score of 10.76 ± 6.21, indicating low subjective psychological well-being. Economic status, chronic disease status, history of surgery, having been on psychiatric medication or receiving professional psychological support, tobacco use, experiencing a significant life change in the last 3 months, and reporting experiencing frequent stress in everyday life were significant predictors of WHO-5 scores. ConclusionsPreoperative surgical patients have low subjective psychological well-being, and their sociodemographic and psychosocial factors affect their psychological well-being.

Scleral Thickness in Autosomal Dominant Best Vitelliform Macular Dystrophy.

To investigate the posterior and equatorial scleral thickness in patients with autosomal dominant Best disease, a condition that has chronic subretinal fluid. Retrospective study involving patients with Best disease and age-matched controls. Participants were evaluated with contact B-scan ultrasonography and enhanced depth imaging optical coherence tomography to evaluate scleral thickness in the posterior pole and equator. Univariate analysis and generalized estimating equations were used. Of 9 patients with genetically proven Best disease and 23 age-matched controls, there was no significant difference in the age or the gender proportion between groups. Subfoveal choroidal thickness and axial length were not significantly different between groups. Both posterior scleral (OD; 1.38mm vs. 0.89mm, P<.001 and OS; 1.39mm vs. 0.83mm, P<.001) and equatorial scleral (OD; 0.61mm vs. 0.42mm, P=.003, and OS; 0.55mm vs. 0.41mm, P=.017) thicknesses were much greater in cases as compared with controls. Multivariate analysis showed male sex and having Best disease were each significant predictors of posterior scleral thickness and Best disease was the sole significant predictor for equatorial scleral thickness. BEST1 gene may have a developmental role leading to having a thicker sclera, influencing disease manifestation, and contributing to the accumulation of subretinal fluid in Best disease.

Temporal associations between trauma-related sleep disturbances and PTSD symptoms: An experience sampling study.

There is robust evidence for the influence of sleep disturbances on the maintenance of PTSD symptoms. However, little is known about day-to-day variation in trauma-related sleep disturbances (namely insomnia symptoms and nightmares) and their associations with PTSD symptoms. Therefore, we explored the dynamic interplay of these symptoms in daily life using an experience sampling method (ESM). For 15 consecutive days, participants with PTSD symptomatology as primary complaint (N = 48) reported momentary levels of insomnia symptoms and nightmares as well as PTSD symptoms via a mobile app. Multilevel model analyses revealed that insomnia and nightmares were significant predictors of PTSD symptomatology on the following day; furthermore, nightmares were predictive of each of the four PTSD symptom clusters, namely reexperiencing, avoidance, cognition and hyperarousal as well as symptoms of dissociation. However, PTSD symptoms did not predict insomnia or nightmares during the following night. Multilevel mediation analyses suggested that nightmares mediate the relationship between insomnia and next-day PTSD symptoms. These findings support accumulating evidence that trauma-related sleep disturbances play an important role in the maintenance of PTSD symptoms, by elevating symptoms daily. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Migratory grief and mental health in first-generation Korean American immigrants.

The purpose of this study was to examine first-generation Korean immigrants' migratory grief in relation to cultural, social, and mental health variables. We examined (a) how behavioral and value acculturation and enculturation as well as mainstream and ethnic connectedness predicted migratory grief and (b) how mainstream and ethnic connectedness moderated the relationships of migratory grief and mental health outcomes (i.e., depression, life satisfaction, positive and negative affect). Data were collected from 188 self-identified first-generation Korean immigrant adults (N = 188, Mage = 43.63, SD = 12.18) and were analyzed using hierarchical multiple regression. Age and behavioral enculturation positively predicted migratory grief, while European American values and mainstream connectedness negatively predicted migratory grief. Migratory grief and mainstream and ethnic connectedness had significant main effects on mental health, but social connectedness did not moderate the relationships between migratory grief and mental health. Acculturation, enculturation, and social connectedness were significant predictors of first-generation Korean immigrants' migratory grief. Additionally, migratory grief and social connectedness significantly predicted mental health. We discussed implications for research and practice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The relation between peritraumatic dissociation and coping strategies: A network analysis.

Peritraumatic dissociation (PD) and coping strategies (CS) around the time of trauma are significant predictors of acute and long-term posttraumatic symptomatology (PTS), but it is unclear how they relate to each other. The aim of this study was to examine their association using a nationwide, representative sample following the September 11 attacks in the United States (N = 3,134). We used exploratory and confirmatory network analyses to estimate reliable associations between PD and CS, as well as looking at those variables as predictors of PTS at 2, 6, and 12 months after the attack. Analyses showed that: (a) PD formed 3 factors (alterations of consciousness, depersonalization, and compartmentalization) distinct from coping strategies; (b) PD related only to some CS; (c) coping through denial had a particularly strong link to alterations of consciousness among adults. Both altered consciousness and denial predicted PTS significantly 2, 6, and 12 months after the attack, with altered consciousness being the stronger predictor (and a better predictor of PTS than other types of PD). For teens, the only significant link between PD and CS was for compartmentalization and substance abuse. PD and CS were related in adults and contributed independently to later PTS. Future research should evaluate longitudinally the interactions between specific types of PD and CS. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Do Social Exclusion and Parental Attitudes Predict Online Gaming Addiction in Adolescents?

Objective: This study aims to examine whether social exclusion and parental attitudes predict online gaming addiction in adolescents. &#x0D; Method: The sample consisted of 393 individuals, of which 4.6% (n=18) were females and 95.4% (n=375) were males, which was determined by the purposive sampling method. Socio-demographic Information Form, Online Gaming Addiction Scale (OGAS), Ostracism Experience Scale for Adolescents (OES-A) and Parental Attitudes Scale (PAS) were used to obtain the personal information of the participants in this study.&#x0D; Results: The findings showed that there was a positive and statistically significant correlation between the disruption sub-dimension of the OGAS and the OES disregard, exclusion and overall total at a moderate level and the acceptance/affection and psychological autonomy sub-dimensions of the PAS. There was a moderate statistically significant positive relationship between the achievement sub-dimension of the OGAS and the OES neglect, exclusion and overall total and there was a negative and statistically significant relationship with the acceptance/affection and psychological autonomy sub-dimensions of the PAS. There was a moderate statistically significant negative relationship between the economic gain sub-dimension of the OGAS and the psychological autonomy sub-dimension of the PAS. It was found that social exclusion and the autonomic parental attitude scale were significant predictors of online gaming addiction in adolescents.&#x0D; Conclusion: Social exclusion and autonomous parenting attitudes are effective on online game addiction in adolescents.

Comparison of Codependency Characteristics of Individuals with and without Dependent Relatives in Terms of Defense Mechanisms, Family Functionality and Attachment Styles

Objective: This study aimed to identify both the shared and distinct aspects of the codependency characteristics of individuals with (clinical group, n=56) and without dependent relatives (non-clinical group, n=59) by comparing them in terms of personal (defense-mechanisms), domestic (family-functionality), and relational (attachment-styles) contexts.&#x0D; Method: Codependency Assessment Tool (CODAT), Defense Styles Questionnaire 40 (DSQ-40), Family Assessment Device (FAD), and Relationship Scales Questionnaire (RSQ) were used as data collection tools.&#x0D; Results: The clinical group scored statistically significantly higher on CODAT (other focus/self-neglect, low-self-worth, family-of-origin-issues subscales and total), DSQ-40 (immature-defenses subscale), FAD (failure in problem-solving, communication, role-distribution, affective-responsiveness, affective-involvement, general-functioning subscales and total), RSQ (preoccupied-attachment subscale) than the non-clinical group. The non-clinical group scored significantly higher on the mature-defenses subscale than the clinical group. Immature-defenses, failure in problem-solving and preoccupied-attachment predicted codependency in the clinical group whereas in the non-clinical group, immature-defenses and unhealthy-communication were significant predictors of codependency.&#x0D; Conclusion: Codependency characteristics differ among individuals with and without dependent family members. As immature defenses predicted codependency in both groups, the use of this defense mechanism may be a fundamental feature of codependency.

A Model for Explaining Digital Addiction in Adolescents: The Role of Self-Perception, Social-Emotional Learning, Adolescent-Parent Relationship and Peer Relationships

Objective: This study was aimed at examining the levels of digital addiction in adolescents with a regression model created with self-perception, adolescent-parent relationships, peer relationships, and social-emotional learning (SEL) skills. &#x0D; Method: The participants consisted of 504 high school students. The data were obtained through the Personal Information Form, the Digital Addiction Scale, the Adolescent-Parent Relationships Scale, the Friendship Quality Scale, the Self-Perception Scale, and the Social and Emotional Learning Scale. &#x0D; Results: Self-perception, adolescent-parent relationship, and SEL skills were significant predictors of adolescents' digital addiction levels, while the peer relationships was not. Additionally, the regression model explains approximately 27% of the total variance of digital addiction in adolescents.&#x0D; Conclusion: The ability of digital platforms to compensate for negative self-perception during adolescence, coupled with inadequate SEL skills, may hinder adolescents from forming satisfying real relationships with themselves and their environment, ultimately increasing their levels of digital addiction. In families without satisfying relationships with parents where there is no positive, warm, supportive, and safe climate, this may cause digital addiction in adolescents.

Sexual dysfunction in migraine-affected women: A prospective cross-sectional controlled study

IntroductionFemale sexual dysfunction (FSD) is a common health problem that is inadequately investigated in Arabic countries, especially Saudi Arabia. AimTo assess the prevalence and trace predictors of FSD in Saudi women who suffered from migraine headaches comparable to healthy women. Patients and methodsA prospective cross-sectional, controlled study involved 400 Saudi women complaining of migraine (Case Group) and another 400 healthy-looking Saudi women (Control Group) during three months; from January 1st, to March 31st 2023, in Jeddah city, Saudi Arabia. Data was collected by using a pre-structured Female Sexual Function Index (FSFI) questionnaire, Female Sexual Distress Scale (FSDS), Migraine Screen Questionnaire (MS-Q), with an evaluation of the severity of pain by Visual Analogue Scale (VAS), and its impact on daily activity by using both; Headache Impact Test (HIT-6) and Migraine Disability Assessment (MIDAS) Questionnaire. ResultsA total of 800 Saudi women were recruited. Their ages ranged from 18 to 45 years old. Women with abnormally low FSFI scores were 375 (93.75 %) out of 400 with migraine and 85 (21.25 %) out of 400 without migraine. The lowest FSFI scores were mainly for desire (2.75 ± 1.05) and arousal domains (3.0 ± 1.12) followed by sexual satisfaction (3.25 ± 1.30) and orgasmic domains (3.5 ± 1.15). The foremost predictive factor behind low FSFI scores and associated FSD in our study was migraine (P < 0.00001). Additional predictors of statistical significance were low educational level (P < 0.01), urban residency (P < 0.02), high parity (P < 0.02), chronic illness such as diabetes (P < 0.01), and bad habits such as smoking (P < 0.03) ConclusionA significant correlation exists between migraine and female sexual dysfunction (FSD). Desire and arousal dysfunctions were the most significantly affected domains followed by satisfaction and orgasmic problems.

Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus Among Women Population.

Diabetes Mellitus (DM) is a chronic health condition (long-lasting) due to inadequate control of blood levels of glucose. This study presents a prediction of type 2 diabetes mellitus among women using various Machine Learning (ML) algorithms deployed to predict the diabetic condition. A University of California Irvine (UCI) diabetes mellitus dataset posted on Kaggle was used for analysis. The dataset included eight risk factors for type 2 diabetes mellitus prediction, including age, systolic blood pressure, glucose, body mass index (BMI), insulin, skin thickness, diabetic pedigree function, and pregnancy. R language was used for the data visualization, while the algorithms considered for the study were logistic regression, Support Vector Machines (SVM), Decision Trees, and Extreme Gradient Boost (XGB). The performance analysis of these algorithms on various classification metrics was also presented, considering that the AUC-ROC score is the best for Extreme Gradient Boost (XGB) with 85%, followed by SVM and Decision Trees (DT). The Logistic Regression (LR) demonstrated low performance, but the decision trees and XGB showed promising performance against all the classification metrics. Moreover, SVM offers a lower support value, so it cannot be considered a good classifier. The model showed that the most significant predictors of type 2 diabetes mellitus were glucose levels and body mass index, whereas age, skin thickness, systolic blood pressure, insulin, pregnancy, and pedigree function were less significant. This type of real-time analysis has proven that the symptoms of type 2 diabetes mellitus in women fall entirely different compared to men, which highlights the importance of glucose levels and body mass index in women. The prediction of type 2 diabetes mellitus helps public health professionals to suggest proper food intake and adjust lifestyle activities with good fitness management in women to make glucose levels controlled. Therefore, the healthcare systems should give special attention to diabetic conditions in women. This work attempts to predict the occurrence of type 2 diabetes mellitus among women from their various behavioral and biological conditions.

Investigating the determinants of iridolenticular contact area: a novel parameter for angle closure

Background/aimsTo identify ocular determinants of iridolenticular contact area (ILCA), a recently introduced swept-source optical coherence tomography (SSOCT) derived parameter, and assess the association between ILCA and angle closure.MethodsIn this population-based...

Prevalence and early surgical outcome of congenital diaphragmatic hernia in the Netherlands: a population-based cohort study from the European Pediatric Surgical Audit

BackgroundCongenital diaphragmatic hernia (CDH) is a rare birth defect with substantial mortality. This study aims to generate a population-based overview of CDH care and outcomes in the Netherlands. Moreover, it...

Impact of cigarette price and tobacco control policies on youth smoking experimentation in Albania

BackgroundAlbania has one of the highest smoking prevalence in Europe especially among the youth. There is a lack of evidence in Albania, as well as in most of Eastern Europe...

Fifteen-Year Clinical Outcomes After Sirolimus-Eluting Stent Implantation.

Clinical outcomes after percutaneous coronary intervention have improved with the use of drug-eluting stents, but data beyond 10 years are limited. The purpose of this study was to evaluate the clinical outcomes of patients undergoing sirolimus-eluting stent implantation with follow-up beyond 10 years and to determine the impact of clinical and angiographic characteristics on long-term prognosis.Methods and Results: The clinical outcomes of 885 patients who had undergone sirolimus-eluting stent implantation at a single institution were retrospectively reviewed. Primary endpoints included in the analysis were clinically driven target lesion revascularization (cTLR) and target lesion revascularization (TLR). Univariate and multivariate nominal logistic regression was used for data analysis. The incidence rates of cTLR and TLR beyond 10 years after sirolimus-eluting stent implantation were 16.4% and 36.8%, respectively, with cTLR tending to decrease beyond 10 years. Acute coronary syndrome was a predominant trigger for cTLR. Age, statin use, and stent restenosis emerged as predictors of cTLR within 10 years, but no significant predictors other than age were identified beyond 10 years. Events continue to occur beyond 10 years after sirolimus-eluting stent implantation, with a trend toward an increase in acute coronary syndromes. It is important to be vigilant about the occurrence of acute coronary syndromes during long-term follow-up.

Viz LVO versus Rapid LVO in detection of large vessel occlusion on CT angiography for acute stroke

BackgroundEndovascular thrombectomy improves outcomes and reduces mortality for large vessel occlusion (LVO) and is time-sensitive. Computer automation may aid in the early detection of LVOs, but false values may lead...

Predicting Intention for Food Safety Behavior among Food Handlers: A Cross-sectional Study in Indonesia’s Beach Culinary Area

Background: The food safety behavior of food handlers constitutes the main factor in foodborne disease control. According to the Theory of Planned Behavior, behavior is determined by the intention that is established from a combination of attitudes, subjective norms, and perceived behavioral control. This research aimed to predict the intention for food safety behavior using the Theory of Planned Behavior. Methods: A cross-sectional study was conducted for two months in the Bantul beach culinary area, Yogyakarta, Indonesia. The research population consisted of 80 food handlers representative of all existing seafood stalls. The respondents were interviewed face-to-face using a paper-based questionnaire related to attitudes, subjective norms, perceived behavioral control, and intention. The data collected were evaluated using structural equation model-partial least square (SEM-PLS), version 3.0, with a sig. level of 0.05. Results: This research successfully predicted 64.3% of the variance in the intention for food safety behavior of food handlers (R2 adjusted = 0.643). The variable-perceived behavioral control was the strongest and most significant predictor, with a positive effect on intention for food safety behavior (β = 0.560, p = 0.000 &lt; 0.05), followed by the variable subjective norms (β = 0.275, p = 0.001 &lt; 0.05). The variable attitude was the weakest predictor, with an insignificant positive effect (β = 007.0, p = 0.182 &gt; 0.05). Conclusion: This research successfully predicted the intention for food safety behavior of food handlers in the Bantul beach culinary area, Yogyakarta, Indonesia.

Prenatal prediction of adverse outcome using different charts and definitions of fetal growth restriction.

Antenatal growth assessment using ultrasound aims to identify small fetuses that are at higher risk of perinatal morbidity and mortality. This study explored whether the association between suboptimal fetal growth and adverse perinatal outcome varies with different definitions of fetal growth restriction (FGR) and different weight charts/standards. This was a retrospective cohort study of 17 261 singleton non-anomalous pregnancies at ≥ 24 + 0 weeks' gestation that underwent routine ultrasound at a tertiary referral hospital. Estimated fetal weight (EFW) and Doppler indices were converted into percentiles using a reference standard (INTERGROWTH-21st (IG-21)) and various reference charts (Hadlock, Fetal Medicine Foundation (FMF) and Swedish). Test characteristics were assessed using the consensus definition, Society for Maternal-Fetal Medicine (SMFM) definition and Swedish criteria for FGR. Adverse perinatal outcome was defined as perinatal death, admission to the neonatal intensive care unit at term, 5-min Apgar score < 7 and therapeutic cooling for neonatal encephalopathy. The association between FGR according to each definition and adverse perinatal outcome was compared. Multivariate logistic regression analysis was used to test the strength of association between ultrasound parameters and adverse perinatal outcome. Ultrasound parameters were also tested for correlation. IG-21, Hadlock and FMF fetal size references classified as growth-restricted 1.5%, 3.6% and 4.6% of fetuses, respectively, using the consensus definition and 2.9%, 8.8% and 10.6% of fetuses, respectively, using the SMFM definition. The sensitivity of the definition/chart combinations for adverse perinatal outcome varied from 4.4% (consensus definition with IG-21 charts) to 13.2% (SMFM definition with FMF charts). Specificity varied from 89.4% (SMFM definition with FMF charts) to 98.6% (consensus definition with IG-21 charts). The consensus definition and Swedish criteria showed the highest specificity, positive predictive value and positive likelihood ratio in detecting adverse outcome, irrespective of the reference chart/standard used. Conversely, the SMFM definition had the highest sensitivity across all investigated growth charts. Low EFW, abnormal mean uterine artery pulsatility index (UtA-PI) and abnormal cerebroplacental ratio were significantly associated with adverse perinatal outcome and there was a positive correlation between the covariates. Multivariate logistic regression showed that UtA-PI > 95th percentile and EFW < 5th percentile were the only parameters consistently associated with adverse outcome, irrespective of the definitions or fetal growth chart/standard used. The apparent prevalence of FGR varies according to the definition and fetal size reference chart/standard used. Irrespective of the method of classification, the sensitivity for the identification of adverse perinatal outcome remains low. EFW, UtA-PI and fetal Doppler parameters are significant predictors of adverse perinatal outcome. As these indices are correlated with one other, a prediction algorithm is advocated to overcome the limitations of using these parameters in isolation. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Relationship between Triglyceride-Glucose Index and Disease Activity and Subclinical Atherosclerosis in Rheumatoid Arthritis.

In rheumatoid arthritis (RA), insulin resistance (IR) is related to inflammatory markers, disease activity, and progression of atherosclerotic changes. Triglyceride-glucose (TyG) index is a relatively new indicator of IR. The present study aimed to investigate the relationship between TyG index, disease activity and subclinical atherosclerosis (SCA) in RA patients. The present case-control study included 100 RA patients and 50 age- and sex-matched healthy controls. All participants were subjected to careful history taking through clinical examination and standard laboratory assessment. The TyG index was calculated as TyG index = ln (Fasting triglyceride (mg/dL) × fasting glucose (mg/dL))/2. Carotid intima-media thickness (CIMT) measurement was done using B-mode ultrasound. Patients had significantly higher TyG index as compared to controls. Patients with high disease activity had significantly higher frequency of extraarticular manifestations (39.6% versus 51.6%, p = 0.028), higher Larsen score (3.8 ± 1.3 versus 2.8 ± 1.2, p < 0.001), higher anti-cyclic citrullinated peptide (anti-CCP) levels (median (IQR): 243.1 (205.0-408.0) U/ml versus 99.0 (78.0-332.5), p < 0.001), higher TyG index (4.8 ± 0.22 versus 4.67 ± 0.24, p = 0.006), and higher CIMT (0.87 ± 0.22 versus 0.77 ± 0.17 mm, p = 0.018). Patients with SCA had higher BMI (34.6 ± 6.2 versus 30.5 ± 5.3 Kg/m2, p < 0.001), higher Larsen score (3.7 ± 1.4 versus 3.1 ± 1.3, p = 0.028) and higher TyG index (4.89 ± 0.23 versus 4.64 ± 0.19, p < 0.001). Binary logistic regression analysis identified patients' age (OR (95% CI): 0.94 (0.89-0.99), p = 0.018), Larsen score (OR (95% CI): 1.93 (1.32-2.82), p = <0.001), anti-CCP (OR (95%): 1.04 (1.02-1.07), p = 0.032), and TyG index (OR (95% CI): 22.67 (2.14-240.4), p = 0.01) as significant predictors of high disease activity in multivariate analysis. IR estimated by the TyG index is related to disease activity and SCA in RA patients.