Abstract Background Diabetic foot ulcers, as one of the serious chronic complications of diabetes, not only cause limb pain, restricted movement and increased risk of infection in patients, but also often accompany significant psychological distress, especially anxiety symptoms. Anxiety may further affect patients' treatment compliance, self-management behavior and overall rehabilitation process. However, systematic research on the association between anxiety symptoms and psychological rehabilitation in patients with diabetic foot ulcers is still relatively insufficient at present. Therefore, the study adopted a scheme combining cross-sectional investigation and longitudinal follow-up, aiming to explore the correlation between anxiety symptoms and the psychological rehabilitation level of patients with diabetic foot ulcers. Methods A total of 120 patients diagnosed with diabetic foot ulcers were recruited for the study. Their Anxiety symptoms were evaluated using the Generalized Anxiety Disorder-7 Scale (GAD-7). And the level of psychological Rehabilitation was evaluated using the Diabetes Psychosocial Rehabilitation Assessment Scale (DPRAS). Meanwhile, the sociodemographic data of the patients, the severity of ulcers, the course of the disease and clinical indicators such as glycated hemoglobin were collected. Three months later, the same batch of patients were followed up again to reevaluate the above psychological indicators, and the ulcer healing situation and readjustment rate were recorded. Correlation analysis, multiple linear regression and path analysis and other methods were adopted to investigate the association between anxiety symptoms and various dimensions of psychological rehabilitation and its changing patterns over time. Results The results showed that the anxiety symptoms (total score of GAD-7) of patients with diabetic foot ulcers were significantly negatively correlated with the total score of psychological rehabilitation (r = -0.62, p<.01). After controlling for factors such as clinical severity, anxiety symptoms remained an independent predictor of psychological rehabilitation level (β = -0.48, p<.001). The longitudinal analysis results indicated that the psychological rehabilitation score of the high anxiety group was (52.7 ± 6.1) during follow-up, which was significantly lower than that of the low anxiety group (73.4 ± 5.9) (p<.01). Meanwhile, the complete ulcer healing rate in the high anxiety group (32.4%) was significantly lower than that in the low anxiety group (58.6%) (p<.05). Discussion The research results show that anxiety symptoms are closely related to the psychological rehabilitation level of patients with diabetic foot ulcers. A higher degree of anxiety not only corresponds to poor psychological adaptation and quality of life, but may also have an adverse impact on ulcer healing and clinical prognosis. In the routine treatment of diabetic foot ulcers, anxiety should be systematically screened and actively intervened, and incorporated into the overall rehabilitation management framework. Future research can verify the effect of psychological and behavioral intervention integrating anxiety management on promoting the physical and mental recovery of patients by designing randomized controlled trials, and explore its potential mechanism of action in combination with physiological indicators (such as cortisol and inflammatory factors), thereby promoting the in-depth development of the rehabilitation model for diabetic foot ulcers towards the integration of body and mind.

Abstract Gig workers, who perform temporary, project-based work on a short-term or freelance basis, typically lack access to formal training, and they rely on informal learning to accumulate human capital. Collaborations with star gig workers, those recognised for exceptional output quality and elevated community reputation, function as a critical pathway for such learning. Yet whether collaborating with star gig workers ultimately helps or hinders non-star gig workers’ task performance and creativity in subsequent independent work remains unclear. Integrating social role theory and the learning literature, we examine how past collaboration with stars shapes non-stars’ performance and creativity in independent gig work. Using archival data on 31,319 board games designed by 13,879 gig workers, we employ multiple linear regression analyses to test these relationships. Results reveal that past collaboration with stars improves non-stars’ task performance but constrains their creativity. Notably, non-star female gig workers benefit more from such collaboration, achieving higher task performance while experiencing less creativity suppression. Our work advances understanding of informal learning in the gig economy and offers practical insights for gig workers navigating their training and learning journeys.

Grip strength is a simple and practical method for evaluating overall muscle strength, and a key health biomarker that is linked to sarcopenia, chronic conditions, and overall mortality. Although protein intake plays a vital role in muscle protein synthesis, its association with grip strength in adults remains unclear. This study examined the cross-sectional relationship between total, animal, and plant protein intake and grip strength among local government workers in Japan. Participants were 349 workers (175 men and 174 women; mean age, 42.9 years; range, 19-71 years) who received a health check-up and participated in a nutrition and health survey. Protein intake was assessed using a validated self-administered diet-history questionnaire. Grip strength was measured with a digital dynamometer. Multiple linear regression analysis was used to estimate adjusted means of grip strength according to tertile of protein intake. Higher animal protein intake was significantly associated with higher grip strength in women, but not in men. After adjustment for covariates including lifestyle and dietary factors, mean (95% confidence interval) grip strength for the lowest through highest tertile of animal protein intake was 24.6 (21.7-27.5) kg, 25.8 (22.9-28.7) kg, and 26.8 (23.7-29.9) kg (P for trend = 0.015) in women. No association was found between total and plant protein intake and grip strength in either men or women. These findings suggest that animal protein is important for muscle strength in women, with potential sex differences in the relationship between protein intake and grip strength.

ABSTRACT Considering the stress of parenting a child through cancer and given prior findings that parental stress can affect children’s neuropsychological functioning, the present study examined the relative effects of treatment and family environment on attentional functioning in pediatric cancer survivors. Our sample of survivors (N = 122; 40.9% female; 51.8% non-Hispanic White) was 3.77 ± 3.58 years post-treatment. Multiple linear regression analyses examined demographic, treatment, and family environment factors with respect to parent-reported, self-reported, and performance-based attention. Treatment factors did not significantly predict any form of attentional functioning. Lower socioeconomic status and less social support significantly predicted greater parent-reported hyperactivity and attention problems. Greater parental stress significantly predicted greater parent-reported attention problems, but not parent-reported hyperactivity. Family environment factors uniquely accounted for the most variance in predicted parent-report hyperactivity (total r s 2 = .489) and attention problems (total r s 2 = .686). Although non-significant, worse parental anxiety and depression also were associated with greater parent-reported hyperactivity and attention problems. Results suggest that family environment factors can strongly predict parent-reported hyperactivity and attention problems in pediatric cancer survivors. These findings highlight the importance of assessing parental stress and emotional functioning in future research on neuropsychological outcomes for pediatric cancer survivors, with potential implications for clinical interventions.

This study examines the effects of environmental social governance performance, debt to equity ratio, and corporate social responsibility disclosure on the return on assets of Indonesian apparel and luxury goods companies between 2017 and 2024. Employing a quantitative approach that adopts a descriptive and verificative approach, the study looks at 56 financial statements from specific apparel and luxury goods companies. The correlations between the variables were evaluated using analysis of multiple linear regression, the coefficient of determination test, traditional assumption tests, as well as the product moment correlation coefficient test such as t-tests and F-tests for assessing hypotheses. The data was processed utilizing SPSS 21.0. According to the test findings that are not complete, ROA is positively impacted by ESG Performance and CSR Disclosure but not by DER. However, the simultaneous test findings show that ESG Performance, DER, and CSR Disclosure taken have a major influence when combined.on Return On Asset. According to these results, activity ESG performance, DER, and CSRD mix are more important factors in determining Return On Asset in the apparel and luxury goods business than short-term solvability.

Depressive and anxiety symptoms are common comorbidities in patients with depression, but their associations with blood pressure (BP) have not been well characterized in treatment-naïve patients. The objective of this cross-sectional investigation was to examine potential associations among depressive symptoms (HAMD-17), anxiety symptoms (HAMA), and blood pressure in first-episode, treatment-naïve (FETN) patients with depression. A total of 1,718 FETN patients with depression participated in this cross-sectional investigation. Depressive symptoms were evaluated through the Hamilton Depression Rating Scale (HAMD-17), while anxiety symptoms were evaluated via the Hamilton Anxiety Rating Scale (HAMA). Both systolic blood pressure (SBP) and diastolic blood pressure (DBP) served as outcome variables. Multiple linear regression analyses were used for evaluate the relationships among HAMD, HAMA, as well as blood pressure, adjusting to control for demographic characteristics and clinical variables. Participants' average age measured 34.87 ± 12.43 years, and 65.77% were] female. Mean HAMD-17 and HAMA scores were 30.30 ± 2.94 and 20.80 ± 3.47, respectively. Mean SBP and DBP were 119.48 ± 10.91 mmHg and 75.95 ± 6.74 mmHg, respectively. In the fully adjusted model including both variables simultaneously, HAMD-17 remained significantly correlated with both SBP (β = 0.80, 95% CI: 0.63, 0.98, p < 0.001) as well as DBP (β = 0.36, 95% CI: 0.24, 0.49, p < 0.001). HAMA showed no significant association regarding SBP (β = 0.13, 95% CI: - 0.02, 0.28, p = 0.079) while remained significantly associated for DBP (β = 0.15, 95% CI: 0.04, 0.26, p = 0.006). Among FETN patients presenting depression, depressive symptoms were independently correlated with SBP as well as DBP, while anxiety symptoms demonstrated a significant association only with DBP. These findings suggest that depressive and anxiety symptoms may have distinct associations with cardiovascular parameters in patients with depression.

Fostering agricultural green entrepreneurship (AGE) is essential for achieving inclusive rural development and environmental sustainability, particularly in regions facing severe resource constraints such as Pakistan. While resource bricolage theory has been widely applied in industrial and urban entrepreneurship research, its micro-level role in shaping agricultural green entrepreneurship among returnee migrants in developing countries remains largely unexplored. This study examines how resource bricolage the creative mobilization and recombination of available but limited resources affects AGE outcomes among returnee rural migrants in the Balochistan and Punjab provinces of Pakistan. Using survey data collected in 2023 from 480 returnee agricultural entrepreneurs, we apply multiple linear regression and mediation analysis to evaluate the effects of four types of bricolage: skill, customer, institutional, and network. The findings show that skill bricolage has the strongest impact on AGE, followed by customer, institutional, and network bricolage. Mechanism tests reveal that bricolage enhances AGE by expanding sales channels and broadening business scope. Subgroup analysis indicates stronger effects among market-oriented entrepreneurs, returning migrant workers, and younger or less-experienced returnees. These results highlight the importance of fostering adaptive capacity and resource integration strategies among returnees to promote inclusive and sustainable green entrepreneurship.

This study aims to analyze the effect of ESG Risk and dividend policy on stock prices, with Good Corporate Governance (GCG) as a moderating variable. The research adopts a quantitative approach using multiple linear regression analysis and Moderated Regression Analysis (MRA). The data are obtained from the annual reports of energy sector companies listed on the Indonesia Stock Exchange (IDX). Using purposive sampling, the study yields 33 observations from 11 companies over a three-year period. The results indicate that stock price movements of energy sector companies during the 2022–2024 period are more strongly driven by financial fundamental factors, particularly dividend policy and the implementation of GCG. Meanwhile, ESG risk does not yet play a significant role in investors’ assessment of stocks. Furthermore, GCG is not proven to moderate the effect of ESG Risk or dividend policy on stock prices, suggesting that sustainability aspects and corporate governance have not been fully integrated into investment decision-making in the Indonesian capital market.

ABSTRACT This study aimed to examine the effect of climate change anxiety on women’s reproductive health protective attitudes and to identify the factors associated with both constructs. This descriptive and relational study was conducted with 789 women aged 18–49 years who were admitted to a public hospital in the Central Anatolia region between July 2023 and March 2024. Data were collected using the Personal Information Form, the Climate Change Worry Scale (CCWS), and the Married Women’s Reproductive Health Protective Attitudes Scale (RHPAS). Descriptive statistics, independent samples t-test, one-way ANOVA, and multiple linear regression analyses were used to analyze the data. The mean age of the participants was 32.65 ± 7.83 years. The mean RHPAS and CCWS scores were 141.64 ± 21.58 and 29.77 ± 10.49, respectively. Regression analysis showed that educational level, family type, employment status, smoking, use of family planning methods, following climate change related news, and climate change anxiety were significant predictors of reproductive health protective attitudes. In addition, perceived income level, following climate change related news, and reproductive health protective attitudes were identified as significant predictors of climate change anxiety. Furthermore, climate change anxiety and reproductive health protective attitudes were found to be significant predictors of each other. The findings suggest that climate change anxiety significantly predicts women’s attitudes towards protecting their reproductive health and that these attitudes significantly predict climate change anxiety. To our knowledge, this is the first study to demonstrate the effect of climate change anxiety on women’s reproductive health protective attitudes, thereby providing novel evidence and contributing to the existing literature.

This study aimed to examine the influence of tax service quality, taxpayer awareness, and tax incentives on the tax compliance of MSME (Micro, Small, and Medium Enterprises) actors in Binjai City. The population in this study was not known with certainty; however, a total of 96 respondents were selected as samples using the Lemeshow formula. This research employed a quantitative primary data approach, which was collected through questionnaires and processed using SPSS Version 24. The analytical technique used was multiple linear regression analysis. The results of the study showed that tax service quality, taxpayer awareness, and tax incentives, both partially and simultaneously, had a positive and significant influence on taxpayer compliance in MSMEs in Binjai City. Tax service quality had a regression coefficient of 0.301, a t-value of 3.327, with a significance level of 0.001. Taxpayer awareness had a regression coefficient of 0.334, a t-value of 3.826, with a significance level of 0.000. Tax incentives had a regression coefficient of 0.238, a t-value of 3.042, with a significance level of 0.003. The results of the F-test showed an F-value of 108.094 with a significance level of 0.000. The critical values of t and F were 1.986 and 2.704 respectively, hence tcalculated &gt; ttable and Fcalculated &gt; Ftable with significance values &lt; 0.05, thus the alternative hypotheses (Ha) were accepted and the null hypotheses (Ho) were rejected, indicating significant influence. These findings confirmed that hypotheses H1, H2, H3, and H4 were accepted and proven valid, as the results aligned with the proposed hypotheses. The most dominant variable influencing taxpayer compliance was taxpayer awareness, as it had the highest t-value. Approximately 77.2% of taxpayer compliance could be explained by tax service quality, taxpayer awareness, and tax incentives, while the remaining percentage was attributed to other external factors. Taxpayer compliance had a very strong relationship with tax service quality, taxpayer awareness, and tax incentives.

This research analyzed the factors influencing financial statement integrity among companies listed on the Indonesia Stock Exchange during the 2022 fiscal year. The study examined the roles of the audit committee, company size, and leverage as primary determinants of reporting honesty. It integrated the alignment between financial data and non-financial disclosures in sustainability reports to identify potential greenwashing practices that could mislead stakeholders. A quantitative approach was employed, utilizing multiple linear regression analysis to evaluate the relationships between the variables. The researcher selected the sample through purposive sampling, focusing on issuers that provided complete annual and sustainability reports. The results indicated that the audit committee and company size exerted a positive and significant influence on financial statement integrity. These findings suggested that independent oversight and reputational risks associated with large organizations effectively reduced information asymmetry. Conversely, leverage demonstrated a negative and significant impact, which implied that high debt burdens encouraged opportunistic managerial behavior through earnings management. This study offered practical contributions for regulators and investors in evaluating corporate information credibility during an era of increasing environmental, social, and governance transparency and digital reporting integration.

Agricultural land conversion not only threatens the sustainability of the farm sector, but also influences the socioeconomic conditions of farmer. The purpose of this study is to examine the external and internal factors affecting agricultural land conversion on the household economy of rice farmers. Using a quantitative survey approach, this study collected primary data from 30 rice farmers in Kloposepuluh Village, Sidoarjo Regency, selected through purposive sampling. Secondary data were obtained from official sources, including government agencies and regional planning documents. The influence of independent variables on land conversion was examined using multiple linear regression analysis. Results show some variables significantly influence on land conversion, including land area ownership, influences from developers and other farmers, employment opportunities, and economic pressures. These variables encourage farmers to convert their land to non-farm uses. On the other hand, land conversion is not significantly affected by government policy variables, indicating the weak effectiveness of policy interventions in controlling land conversion. The results highlight the need for the government to play an active role in enhancing agricultural land protection policies by adopting more adaptive and participatory strategies. Furthermore, providing economic incentives and safeguarding farmers is expected to reduce the economic pressures that lead to land conversion.

Little is known about the specific inflammatory networks and immune parameters that drive frailty outcomes in people with HIV (PWH). Plasma analytes and T cell phenotypes from PWH without frailty (0 Fried score, n=60) and with frailty (≥3 Fried score, n=60) were measured by Luminex assay or flow cytometry. Multiple least-squares linear regression analysis was used to determine the association of each marker with frailty in unadjusted and adjusted models. Spearman correlations were used to determine the association of plasma analytes with T cell phenotypes. We found that 19 of 75 markers measured in plasma were significantly associated with frailty, most of which are downstream of NF-κB signaling and are senescence-associated secretory phenotype (SASP) components. In frail individuals, the proportions of CD4 and CD8 T cells with a naïve phenotype were significantly reduced, and the proportions of CD4 T cells expressing TIGIT and PD-1 were significantly elevated. Of the frailty-associated analytes, we found that only osteoprotegerin and TNF levels were significantly correlated with percent naïve, TIGIT+, and PD-1+ CD4 T cells among PWH with frailty. Osteoprotegerin levels were negatively correlated with CD4/CD8 T cell ratio. We found a strong association of the SASP and NF-κB related inflammation with frailty in PWH. Osteoprotegerin can inhibit osteoclast formation and prevent bone resorption. Low proportion of naïve CD4 T cells and increased TIGIT and PD-1 expression were associated with both osteroprotegerin levels and frailty, suggesting a link between inflammation, T cell activation, bone health, and frailty in PWH.

The expansion of digital commerce in Indonesia has reshaped the way local creative brands compete in online marketplaces. Although platforms such as Tokopedia enable sellers to reach a wider audience, maintaining customer satisfaction has become increasingly challenging due to market saturation. KORIGENGI is a local brand specializing in otaku-themed merchandise that operates through Tokopedia, yet its competitive position remains weaker than that of several rival stores. This study aims to analyze how product quality, price perception, and distribution performance influence customer satisfaction with KORIGENGI products on Tokopedia. This research applies a quantitative approach using survey data collected from customers who have previously purchased KORIGENGI products. Structured questionnaires were distributed online and measured using a Likert scale. The collected data were examined through instrument testing, classical assumption testing, and multiple linear regression analysis. The findings indicate that product quality, price, and distribution exert positive and statistically significant effects on customer satisfaction. When examined simultaneously, these variables collectively explain the variations in customer satisfaction. Product quality was the most influential factor, followed by price and distribution. The results highlight the importance of delivering high-quality products, applying appropriate pricing strategies, and ensuring reliable distribution processes to enhance customer satisfaction in competitive e-commerce environments.

This study was conducted to determine phubbing, public speaking anxiety, and the need for social approval among young adults. This study was conducted using a cross-sectional design. The study was completed with 1,063 young adults aged 18-26 from various cities in Turkey. Data were collected using a personal information form, the General Phubbing Scale, the Public Speaking Anxiety Scale, and the Need for Social Approval Scale. Multiple linear regression analysis and linear regression analysis were used to analyse the data. According to the results of multiple linear regression analysis, the model explains 39.5% of the variance in public speaking anxiety and is statistically significant (p < 0.001). It has been determined that the level of phubbing is positively and significantly related to public speaking anxiety and the need for social approval. An increase in phubbing scores is associated with an increase in public speaking anxiety and social approval need scores. Furthermore, phubbing explains 14.1% of the variance in social approval need and significantly predicts this variable (p < 0.001). This study demonstrates that phubbing behaviour in young adults is associated with public speaking anxiety and the need for social approval. An increase in phubbing negatively impacts both variables. The findings indicate that a decrease in face-to-face communication may have significant effects on the psychological well-being of young adults. Accordingly, it is recommended that young adults engage in social activities and receive information aimed at reducing phubbing.

Taxes are a potential source of state revenue to be able to achieve development success, so that from year to year tax revenues are expected to continue to increase in an effort to finance national development. Taxpayer compliance is an important factor in realizing tax revenue targets. The higher the taxpayer's compliance, the more tax revenue will increase, and vice versa. This study aims to test and analyze the influence of information technology in taxation, tax socialization, and tax sanctions on the compliance of individual taxpayers at the Bandung Cibeunying Pratama Tax Service Office. The research method uses explanatory research, a data collection technique using primary data obtained through the distribution of questionnaires. The research sample was 100 respondents, the sampling method used accidental sampling. The data analysis technique used multiple linear regression analysis. The results of the study show that descriptively the application of information technology in taxation, tax socialization, and tax sanctions is optimal, while taxpayer compliance is still low. As for verifiability, the results were obtained that: (1) information technology in taxation has a significant effect on taxpayer compliance, (2) tax socialization has a significant effect on taxpayer compliance, (3) tax sanctions have a significant effect on taxpayer compliance, and (4) information technology in taxation, tax socialization, and tax sanctions have a significant effect on taxpayer compliance.

This study investigates how inflation and monetary policy, as reflected in the policy interest rate (BI Rate), affect Indonesia's economic growth, as indicated by the GDP. Multiple linear regression analysis was employed to discover connections between independent and dependent variables in an economic setting. The analysis's findings indicate that neither the BI Rate nor inflation significantly affects GDP growth. Although not sufficiently strong to be regarded as statistically significant, the positive coefficients derived from both variables show a propensity for increases in inflation and policy interest rates to enhance economic growth. The significance of the interaction between the two variables in monetary policy is confirmed by simultaneous analysis, which reveals that both inflation and the BI Rate significantly contribute to GDP variance when examined together. These results suggest that monetary policy must work in tandem with fiscal policy and the real sector, as well as be adaptively managed to respond to changes in the global economy to effectively stimulate economic growth in Indonesia [2]. This study is anticipated to significantly aid policymakers in developing more potent plans to accomplish sustainable growth and national economic stability.

Accurate prediction of the mechanical performance of fiber-reinforced cement mortars (FRCM) is challenging because fiber geometry and properties vary widely and interact with the cement matrix in a non-trivial way. In this study, we propose an interpretable, computationally light framework that combines principal component analysis (PCA) with multiple linear regression (MLR) to predict compressive strength (Cs) and flexural strength (Fs) from mix proportions and fiber parameters. The literature-based dataset of 52 mortar mixes reinforced with polypropylene, steel, coconut, date palm, and hemp fibers was compiled and analyzed, covering Cs = 4.4–78.6 MPa and Fs = 0.75–16.7 MPa, with fiber volume fraction Vf = 0–15% and fiber length Fl = 4.48–60 mm. PCA performed on the full dataset showed that PC1–PC2 explain 53.4% of the total variance; a targeted variable-selection strategy increased the captured variance to 73.0% for the subset used for regression model development. MLR models built using PC1 and PC2 achieved good accuracy in the low-to-mid strength range, while prediction errors increased for higher-strength mixes (approximately Cs ≳ 60 MPa and Fs ≳ 10 MPa). On an independent validation dataset (n = 10), the refined model achieved mean absolute percentage errors of 11.3% for Fs and 18.5% for Cs. The proposed PCA-MLR approach provides a transparent alternative to more complex data-driven predictors, and it can support preliminary screening and optimization of fiber-reinforced mortar designs for durable structural and repair applications.

The oxytocin system is implicated in the pathophysiology of generalized anxiety disorder (GAD). However, its utility in predicting treatment outcomes with first-line antidepressants, such as escitalopram, remains unexplored. This study aimed to investigate whether baseline serum oxytocin levels and the oxytocin receptor gene polymorphism OXTR rs53576 can predict escitalopram response in patients with first-episode GAD. This prospective cohort study enrolled 60 drug-naïve patients with first-episode GAD and 60 age- and sex-matched healthy controls. Serum oxytocin levels were measured using enzyme-linked immunosorbent assay, and the OXTR rs53576 genotype was determined using TaqMan SNP Genotyping Assays. The patients received escitalopram monotherapy (10-20mg/day). Anxiety severity was assessed using the Hamilton Anxiety Scale at baseline and weeks 2, 4, and 8. Treatment response was defined as a ≥ 50% reduction in Hamilton Anxiety Scale score. At baseline, patients with GAD had significantly higher oxytocin levels than healthy controls (147.99 ± 99.07 pg/ml vs. 76.86 ± 96.07 pg/ml, p < 0.001) and a higher prevalence of OXTR rs53576 AA genotype (71.67% vs. 25.00%, p < 0.001). Multiple linear regression analysis revealed that both higher oxytocin levels (p < 0.001) and the AA genotype (p < 0.001) were independently associated with greater baseline anxiety severity. However, after 8 weeks of treatment, neither baseline oxytocin levels nor the OXTR rs53576 genotype predicted treatment response at any time point (all p > 0.05). While the oxytocin system is dysregulated in GAD, baseline serum oxytocin and OXTR rs53576 genotypes are not clinically useful biomarkers for predicting short-term responses to escitalopram. This finding refines the search for predictive tools for personalized anxiety treatment.

This study explores the influence of Social Media Marketing, Customer Experience, and Customer Trust on Repurchase Intention of Skintific skincare products. Utilizing a quantitative approach, data was collected from 160 users of Skintific products through questionnaires. The results of multiple linear regression analysis show that Customer Experience and Customer Trust have a positive and significant influence on Repurchase Intention. Based on this, Customer Experience and Customer Trust have an important role in increasing repurchase intentions. In addition, Customer Trust also has a positive and significant effect on Repurchase Intention, emphasizing that the level of consumer confidence in Skintific products can increase repurchase intentions. The findings provide practical implications for marketing managers in developing more effective strategies as well as for Skintific product managers in improving consumer satisfaction and trust to achieve higher repurchase goals. This study also makes a theoretical contribution in enriching the literature on factors that influence repurchase intentions in the context of the skincare industry.