Stepwise Regression Analysis Research Articles

Resilience as a protective factor in the development of post-traumatic stress disorder in patients hospitalised for COVID-19

Introduction and objective: Both the illness itself and hospitalisation due to COVID-19 are potentially traumatic experiences, especially when the course of the disease is severe. Resilience has been identified as a crucial factor in the process of successfully coping with traumatic events and may protect against the development of symptoms of post-traumatic stress disorder. The aim of this study was to determine the role of resilience in the prevention of post-traumatic stress disorder symptoms in patients requiring hospitalisation due to COVID-19. Materials and methods: A total of 138 patients (59 women, 79 men; mean age: 52.34 years; standard deviation, SD = 12.46) hospitalised at the University Hospital in Krakow were included in the study, which was conducted 7–8 months after their COVID-19 diagnosis. The PTSD Checklist for DSM-5 (PCL-5) and the Resilience Measurement Scale (SPP-25) were administered, and stepwise multiple regression analysis was used in the predictive models. Results: A total of 31 participants (22.5%) met the criteria for probable post-traumatic stress disorder symptoms. The study participants were characterised by a moderate level of resilience (5th sten), with women exhibiting lower levels than men. Higher levels of resilience were associated with lower severity of PTSD symptoms. A significant predictor of post-traumatic stress disorder symptoms was “Tolerance for failure and treating life as a challenge”. Conclusions: Resilience has an impact on the severity of symptoms of post-traumatic stress disorder. Specifically, the dimension of “Tolerance” within resilience appears to be an important protective factor against post-traumatic stress disorder symptoms after hospitalisation for COVID-19. Patients hospitalised with severe course of COVID-19 exhibit a moderate level of resilience, with men demonstrating higher resilience levels than women.

Study on the Influencing Factors of Adolescent Mental Health

Adolescent mental health is a popular topic of general concern to the global public, and there are many researchers already finding out various factors that lead to psychological problems represented by depression. However, usually one study only focuses on the analysis of one factor, causing it being lack in a comprehensive consideration of the personal life experience of adolescents. Therefore, this paper collects the questionnaire dataset on Kaggle website and conducts correlation and stepwise regression analysis to explore the factors leading to adolescent depression through the score evaluation on the questionnaire. The results show that typical factors such as teacher-student relationship, academic performance, and safety have a negative impact on adolescent depression, while factors like study load, extracurricular activities, noise level have a positive impact on adolescent depression. Based on this conclusion, this paper suggests that schools should pay more attention to adolescent mental health to ensure that they thrive.

Impact of Emotional Branding on Brand Trustworthiness with mediating role of Brand Commitment

Human emotions play a vital role in cognitive processes, decision-making, purchasing behavior, and social interactions. In any market, consumer engagement with brands is not just transactional; it is intensive, deep-rooted, stable, and emotionally attached. Establishing trust and loyalty between customers and brands has become increasingly crucial, extending beyond mere satisfaction based on benefits. As a result, emotional branding and emotional marketing are gaining significance and recognition among practitioners and marketing researchers, as they enhance credibility for customers. This descriptive study primarily aims to analyze the mediating role of brand commitment in the relationship between emotional branding and brand trustworthiness. A convenience sampling technique was adopted to gather 308 samples using an online questionnaire. The sampling adequacy for the study was determined by the KMO and Bartlett’s test, yielding a value of 0.935. Data were analyzed using correlation, stepwise regression, and mediation analysis in SPSS and JAMOVI to assess the mediating role of brand commitment in the relationship between emotional branding and brand trustworthiness. The findings indicate a robust and positive relationship among emotional branding, brand trustworthiness, and brand commitment. The stepwise regression model revealed that emotional branding antecedents significantly predict both brand trustworthiness and brand commitment. Furthermore, mediation analysis confirmed that emotional branding antecedents significantly impact brand trustworthiness, with brand commitment serving as a mediator, thus validating the mediation analysis. This study recommends that brand trustworthiness can be improved through emotional branding strategies, leveraging the mediating effect of brand commitment activities. Consequently, marketers can achieve a higher level of brand trustworthiness and commitment by enhancing emotional branding strategies with their customers. The research concludes that emotional branding strategies are significant predictors of brand trustworthiness, with brand commitment playing a vital mediating role in this relationship. Future research could explore these dynamics in different geographical areas and consider additional variables, such as brand satisfaction, brand love, and brand attachment, to further enrich the model.

Psychological Predictors of Attitude toward Integrated Arts Education among Chinese College Students Majoring in the Arts.

This study investigated the psychological factors related to the attitudes of Chinese arts college students toward integrated arts education. It also examined predictive models incorporating psychological variables, demographic profiles, and art education-related characteristics to offer valuable insights for future research and art education practices. The sample comprised 303 Chinese college students majoring in arts and aged 18-22 years. The predictive models were examined using stepwise regression and decision tree analyses. The results indicated positive correlations between attitudes toward integrated arts education and several psychological variables, including extraversion, openness, conscientiousness, agreeableness, the Behavioral Inhibition System (BIS), hardiness, creativity, self-efficacy, and purpose orientation for personal growth. Neuroticism and the Behavioral Activation System (BAS) were negatively correlated with attitudes toward integrated arts education. Further, extraversion accounted for the greatest variance in attitudes toward integrated arts education. Extraversion, self-efficacy, purpose orientation for personal growth, BIS, and commitment accounted for approximately 38.3% of the variance. The decision tree model, predicting the attitudes of college students majoring in the arts toward integrated arts education, included extraversion, self-efficacy, teaching experience in their major, and academic year. This study contributes to a better understanding of the psychological and educational factors that shape the attitudes of Chinese arts students toward integrated arts education and provides a predictive framework that can inform future research and educational practices.

Psychosocial Factors and Psychological Adjustment Among Adolescents and Young Adults: A Comparative Analysis of Occasional Drug Craving and Non-Craving.

The rate of drug craving not only in Pakistan is escalating rapidly, but also from a wide range of cultures and geographically have been impacted by the drug problem. Recently, drug cravings among young Pakistani school and college students have significantly increased, particularly illegal substances like hashish, heroin, and ecstasy. We recruited 338 students and gathered demographic and drug-craving data through a survey. To assess the study variables, we used the parental acceptance-rejection short version, peer pressure questionnaire, and adult personality assessment scale. The prevalence rate of occasional drug craving was 44.1% (tobacco, 39.9%; heroin, 1.8%; ice, 0.6%; and others), and 55.9% have never tried them. Initially, drug craving at the first onset at the age of 14 in friend gatherings (15.7%) in stressful situations (11.2%), high-income families, particularly in joint family systems with paternal rejection, peer enforcement, and maladjustment had a higher risk than affectionate parents and conventional peers. Stepwise binary logistic regression analysis disclosed that age, socioeconomic status, father affection, hostility, rejection, negligence, peer influences, and psychosocial adjustment, mother hostility were independently associated with occasional drug cravings. Findings suggested the high prevalence of occasional drug cravings in Pakistani students in the capital territory. Furthermore, the demographic and other social and clinical aspects could be linked. This study carried out theoretical significance in understanding the predictors of occasional drug craving and psychological adjustment, highlighting the peer and parent's roles and the educational institutions.

Social networks and COVID-19 vaccination intention in Dutch middle-aged and older adults in 2020: Insights into individual, interpersonal, community, and societal determinants – The SaNAE study

BackgroundSocial networks, our social relationships, influence the spread of infectious diseases and preventive behaviors such as vaccination. Here, we aimed to assess which individual, interpersonal (social network characteristics), community and societal factors are associated with coronavirus disease 2019 (COVID-19) vaccination intention during the second wave of the COVID-19 pandemic in 2020, prior to vaccine availability. MethodsThis cross-sectional study collected primary data from 5,001 community-dwelling adults aged 40 years and older in the Netherlands, using an online questionnaire from August and November 2020. COVID-19 vaccination intention was measured by assessing whether respondents were willing to receive a COVID-19 vaccination if the vaccines became available. Associations between individual (sociodemographic variables, health, health concerns), interpersonal (social network characteristics including structure, function, and quality), community (social and labor participation) and societal factors (degree of urbanization), and the outcome variables COVID-19 vaccination intention (yes vs no, yes vs unsure, unsure vs no) were assessed in stepwise multivariable logistic regression analyses. p-values < 0.05 indicated statistical significance. ResultsAmong participants (N = 3,396), 59 % reported a positive intention to vaccinate, 35 % were unsure, and 6 % had no intention. Men, individuals of older age, those with a college or university degree, those concerned about their personal and family health, and knowledge about protecting oneself from the virus were more likely to have the intention to vaccinate (versus no intention). Interpersonal factors associated included having a larger network size (social network structure) and a larger proportion of informational supporters (social network function). Living outside of urban areas, a societal factor, was associated with vaccination intention (versus no intention). ConclusionThis study identified key factors influencing COVID-19 vaccination intention. Health promotion efforts should address not only individual factors but also incorporate the social environment. Our findings highlight the importance of organizing social networks to mobilize social support for pandemic preparedness.

Managerial Support Matters: Predictors of Nurses’ Turnover Intentions During the COVID-19 Pandemic in The Bahamas

Amidst the prolonged COVID-19 pandemic, nurses in The Bahamas faced challenges such as exacerbation of severely limited job resources and heightened job demands. Anecdotal evidence suggested that these conditions jeopardized nurses&amp;rsquo; well-being and increased their turnover intentions. An incomplete understanding of factors influencing Bahamian nurses&amp;rsquo; turnover intentions, during periods of crises limits our ability to formulate appropriate retention strategies. The purpose of this study was to 1) examine the influence of job demands and job resources on nurses&amp;rsquo; turnover intentions, and 2) identify key predictors of turnover intentions of nurses employed in a public acute care hospital in The Bahamas during the COVID pandemic. Data were collected from regulated nurses between January and April 2022 using a cross-sectional, descriptive, survey design. Stepwise multiple linear regression analysis was used to predict relationships among turnover intentions and job demands and job resources. The study found that managerial support was a statistically significant job resource that predicted nurses&amp;rsquo; turnover intentions (B = -.25, p= 0.19). Support from immediate nursing supervisors was a key predictor of nurses&amp;rsquo; turnover intentions among Bahamian nurses. It is essential for nurse managers and other stakeholders to be aware of the importance of managerial support for reducing nurse turnover intentions, especially during crises.

Identification and Validation of an Invasion-Related Disease-Free Survival Prognostic Model for Tongue Squamous Cell Carcinoma

Introduction: Tongue squamous cell carcinoma (TSCC) is a common malignant tumour type with aggressive invasion and a poor prognosis. To date, invasion-related gene expression signatures for the prognostic stratification of TSCC patients are unavailable in clinical practice. This study aimed to assess the impact of invasion-related genes on the prognosis of TSCC patients. Methods: We obtained mRNA profiles and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases (TCGA-TSCC and GSE41116, respectively). The TSCC samples from the TCGA-TSCC cohort were randomly divided into TCGA training and TCGA test datasets at a 7:3 ratio. Next, a disease-free survival (DFS) prognostic risk model was established on the basis of univariate and stepwise multivariate Cox regression analyses of the TCGA training cohort. Moreover, prognostic genes were screened. The model was subsequently evaluated and validated using the TCGA test and GSE41116 datasets. In addition, the prognostic genes were validated in the human TSCC cell line UM1 and the human oral keratinocyte (HOK) cell line using quantitative real-time polymerase chain reaction (qRT-PCR) analysis. Results: A total of 70 candidate genes related to invasion were identified in the TCGA-TSCC cohort. DFS data were subsequently constructed, and 6 prognostic genes, HMGN2, MYL12B, ACTB, PPP1CA, PSMB9, and IFITM3, were identified. The TSCC samples were divided into high- and low-risk groups in the TCGA training, TCGA test, and GSE41116 cohorts, respectively. In particular, patients with TSCC in the low-risk group had longer DFS than those in the high-risk group. Furthermore, qRT-PCR analysis confirmed that the expression levels of the 6 prognostic genes were significantly greater in the TSCC cell line UM1 than in the HOK cell line. Conclusion: This study identified new invasion-related target genes related to poor prognosis in TSCC patients, providing new insights into the underlying mechanisms of TSCC invasion.

Relationship between the rumen microbiome and liver transcriptome in beef cattle divergent for feed efficiency

BackgroundFeed costs account for a high proportion of the variable cost of beef production, ultimately impacting overall profitability. Thus, improving feed efficiency of beef cattle, by way of determining the underlying genomic control and selecting for feed efficient cattle provides a method through which feed input costs may be reduced whilst also contributing to the environmental sustainability of beef production. The rumen microbiome dictates the feed degradation capacity and consequent nutrient supply in ruminants, thus potentially impacted by feed efficiency phenotype. Equally, liver tissue has been shown to be responsive to feed efficiency phenotype as well as dietary intake. However, although both the rumen microbiome and liver transcriptome have been shown to be impacted by host feed efficiency phenotype, knowledge of the interaction between the rumen microbiome and other peripheral tissues within the body, including the liver is lacking. Thus, the objective of this study was to compare two contrasting breed types (Charolais and Holstein-Friesian) divergent for residual feed intake (RFI) over contrasting dietary phases (zero-grazed grass and high-concentrate), based on gene co-expression network analysis of liver transcriptome data and microbe co-abundance network of rumen microbiome data. Traits including RFI, dry matter intake (DMI) and growth rate (ADG), as well as rumen concentrations of volatile fatty acids were also included within the network analysis.ResultsOverall, DMI had the greatest number of connections followed by RFI, with ADG displaying the fewest number of significant connections. Hepatic genes related to lipid metabolism were correlated to both RFI and DMI phenotypes, whilst genes related to immune response were correlated to DMI. Despite the known relationship between RFI and DMI, the same microbes were not directly connected to these phenotypes, the Succiniclasticum genus was however, negatively connected to both RFI and ADG. Additionally, a stepwise regression analysis revealed significant roles for both Succiniclasticum genus and Roseburia.faecis sp. in predicting RFI, DMI and ADG.ConclusionsResults from this study highlight the interactive relationships between rumen microbiome and hepatic transcriptome data of cattle divergent for RFI, whilst also increasing our understanding of the underlying biology of both DMI and ADG in beef cattle.

Glutamine metabolism-related genes predict the prognostic risk of acute myeloid leukemia and stratify patients by subtype analysis

BackgroundAcute myeloid leukemia (AML) is a genetically heterogeneous disease in which glutamine (Gln) contributes to AML progression. Therefore, this study aimed to identify potential prognostic biomarkers for AML based on Gln metabolism-related genes.MethodsGln-related genes that were differentially expressed between Cancer Genome Atlas-based AML and normal samples were analyzed using the limma package. Univariate, least absolute shrinkage, selection operators, and stepwise Cox regression analyses were used to identify prognostic signatures. Risk score-based prognostic and nomogram models were constructed to predict the prognostic risk of AML. Subsequently, consistent cluster analysis was performed to stratify patients into different subtypes, and subtype-related module genes were screened using weighted gene co-expression network analysis.ResultsThrough a series of regression analyses, HGF, ANGPTL3, MB, F2, CALR, EIF4EBP1, EPHX1, and PDHA1 were identified as potential prognostic biomarkers of AML. Prognostic and nomogram models constructed based on these genes could significantly differentiate between high- and low-risk AML with high predictive accuracy. The eight-signature also stratified patients with AML into two subtypes, among which Cluster 2 was prone to a high risk of AML prognosis. These two clusters exhibited different immune profiles. Of the subtype-related module genes, the HOXA and HOXB family genes may be genetic features of AML subtypes.ConclusionEight Gln metabolism-related genes were identified as potential biomarkers of AML to predict prognostic risk. The molecular subtypes clustered by these genes enabled prognostic risk stratification.

The Relationship Between Executive Functioning and Narrative Language Abilities in Aphasia.

Although individuals with aphasia commonly exhibit challenges in executive functioning (EF) and spoken discourse, there is limited research exploring connections between these abilities within this specific population. Therefore, this study investigated the relationship between verbal and nonverbal EF and narrative productions in aphasia using a multilevel linguistic approach. Participants included 22 persons with aphasia (PWA) and 24 age- and education-matched, neurologically healthy controls (NHC). All participants completed assessments for EF and a story retelling task. Narrative samples were analyzed for microlinguistic (productivity, lexical and syntactic features, semantic content, word and sentence errors) and macrolinguistic (coherence, informational content, organization, and language use) characteristics. Correlational analyses were employed to explore the relationships among narrative variables. EF factors, extracted from principal component analysis, were used as predictive variables in hierarchical stepwise regression analyses to evaluate their role in predicting narrative performances of PWA and NHC. Relative to NHC, PWA exhibited impaired narrative performance affecting both microlinguistic and macrolinguistic levels. Breakdowns at the structural level (i.e., reduced productivity, syntax, lexical retrieval, and diversity) correlated with impaired story completeness, organization, and connectedness; this relationship was more prominent for PWA. Three EF factors representing (1) verbal EF, (2) verbal and nonverbal fluency, and (3) nonverbal EF were extracted. Factors 1 and 2 largely predicted narrative performance, whereas Factor 3 (i.e., nonverbal EF) contributed prominently to predicting macrolinguistic discourse performance in both groups although accounting for less variance in the data. Overall, lower EF scores, particularly verbal EF variables, predicted poor narrative performance in both groups. Our results indicate that both linguistic and extralinguistic cognitive abilities play a role in story retelling performances among PWA. Notably, both verbal and nonverbal EF skills were found to be correlated with narrative abilities. However, the extent of their contributions varied depending on the discourse levels assessed. These findings provide a significant contribution to our understanding of the cognitive factors associated with breakdowns in discourse among PWA and highlight the importance of comprehensive assessment of EF and discourse within this population. https://doi.org/10.23641/asha.26485627.

Health Literacy in Preventing and Controlling Dengue Hemorrhagic Fever Among Village Health Volunteer, Pattani Province, Thailand

Background: Dengue Haemorrhagic Fever (DHF) is a mosquito-borne viral infection caused by the dengue virus (DENV). The situation of the DHF prevalence rate was still high in the community. One reason for this high rate involves community members, who had less participated in the prevention and control measures of DHF. Objectives: This descriptive study aimed to study factors associated with preventing and controlling DHF among village health volunteer, Pattani Province. Methods: Population consisted of 6,841 village health volunteers registered in Pattani Province, Thailand, in fiscal year 2020, and the sample size was calculated using Daniel formula for 215 cases, and systematic random sampling was carried out for collecting data. Data were collected by questionnaires composed of 3 parts, including characteristics, health literacy factors, and preventing and controlling DHF. In addition to check questionnaire standardization, validity was checked by three experts and try out testing reliability by Cronbach’s coefficient alpha about 0.87. Data were analysed using statistical as Pearson product moment correlation coefficient and Stepwise Multiple Regression Analysis. Results: The analysis found that health literacy factors were associated with preventing and controlling DHF among village health volunteer, Pattani Province such as access skill (r=0.310, p-value&lt;0.001) communication skill (r=0.201, p-value=0.003) media literacy skill (r=0.386, p-value&lt;0.001) decision skill (r=0.349, p-value&lt;0.001) self-management skill (r=0.480, p-value&lt;0.001), respectively. Conversely, cognitive skill had no association (r=0.117, p-value=0.086). Conclusion: The finding showed that health literacy of village health volunteer was associated with the preventing and controlling DHF. Therefore, health workers should encourage the village health volunteers to participate in sustainable prevention and control of DHF.

Age-related analysis of corneal biomechanical parameters in healthy Chinese individuals

To report the correlation between corneal biomechanical parameters and age in healthy Chinese individuals. This cross-sectional study was conducted on 864 eyes of 543 healthy participants. A comprehensive ophthalmic examination and corneal biomechanics examination using Corneal Visualization Scheimpflug Technology (Corvis ST) were conducted. Based on age, all participants were further divided into five age groups (n) as follows: group A, 11–20 years (105); group B, 21–30 years (112); group C, 31–40 years (113); group D, 41–50 years (100); and group E, > 50 years (113). Using Corvis ST, we examined 35 corneal biomechanical parameters and compared them across the different age groups. Spearman’s correlation coefficients and stepwise multivariate linear regression models were used to investigate whether the corneal biomechanical parameters were related to demographic and ocular characteristics. A correlation analysis between the left and right eyes revealed that 13 parameters were significantly associated with eye differences. Among the 35 corneal biomechanical parameters, 28 exhibited significant differences across the age groups, with stiffness parameter at applanation 1(SPA1) showing an upward trend after the age of 30 and stress–strain index (SSI) demonstrates a statistically significant upward trend when comparing the five age groups in the study. Additionally, Spearman’s correlation analysis and stepwise multivariate linear regression analysis revealed that 11 corneal biomechanical parameters were positively correlated with age and 10 were negatively correlated with age. Corvis biomechanical index (CBI) was significantly negatively correlated with intraocular pressure (IOP) and central corneal thickness (CCT), SSI was significantly positively correlated with age and IOP, and SPA1 were positively correlated with IOP and CCT. In conclusion, most corneal biomechanical parameters showed a significant correlation with age, with corneal stiffness progressively increasing alongside advancing age, IOP, or CCT.

Analysis of Baseline Molecular Factors Associated With the Risk of Central Nervous System Progression Among Alectinib-Treated Patients With ALK–Positive NSCLC

IntroductionDespite receiving alectinib therapy, patients with ALK-rearranged NSCLC remain at risk of central nervous system (CNS) progression. Our retrospective study aimed to identify baseline clinical and molecular factors associated with the risk of CNS progression in this patient subset. MethodsWe analyzed the clinical, molecular, and imaging data of 318 patients with ALK-positive advanced NSCLC who received alectinib as first-line (1L-alectinib) or second-line (2L-alectinib) therapy at baseline (1L, n = 183; 2L, n = 135) and at disease progression (1L, n = 57; 2L, n = 75). ResultsThe incidence rates of CNS progression were 12.3% after 1L-alectinib treatment and 30.7% after 2L-alectinib treatment. Compared with patients who received 1L-alectinib, CNS progression was significantly higher in patients who received 2L-alectinib (p = 0.04), particularly those who had oligoprogression (p = 0.01). Oligoprogression was detected in 55.0% (44 of 80) of patients who progressed after first-line alectinib, with the remaining 45.0% (36 of 80) having nonoligoprogression. Univariate and multivariate analyses and stepwise regression analyses consistently identified a higher likelihood of CNS progression among (1) patients who received 2L-alectinib than 1L-alectinib, (2) patients with non-3a/b variant ALK fusion than those with echinoderm microtubule-associated protein-like 4–ALK variant 3a/b, and (3) patients with programmed death ligand 1 (PD-L1) tumor proportion score (TPS) of 50% or higher than PD-L1 TPS of less than 50%. ConclusionsOur study provided real-world evidence that patients who harbored PD-L1 TPS of 50% or higher were more likely to experience CNS progression during alectinib therapy. The association between CNS progression and breakpoint variants warrants further investigation. Our findings suggest that close monitoring and prompt intervention are crucial in prolonging the quality of life of this patient subset.

Secondary traumatic stress and vicarious posttraumatic growth in oncology nurses: the mediating role of empathy.

The relationship between secondary traumatic stress (STS), empathy, and vicarious post-traumatic growth (VPTG) in oncology nurses is unclear. Understanding these links is crucial for improving nurse well-being and patient care quality. This study aimed to investigate the relationships between STS, empathy, and VPTG among oncology nurses. This cross-sectional study was conducted in a multicentric setting. Data collection involved oncology nurses completing questionnaires assessing STS, empathy, and VPTG levels. Data analysis included correlation analyses, multiple stepwise regression analysis, and structural equation modeling (SEM) to examine the interrelationships between these variables. The study adhered to the STROBE checklist. A total of 391 oncology nurses participated in the study. They showed moderate to low levels of VPTG and high levels of STS. STS exhibited a negative association with VPTG, while empathy demonstrated a positive direct association with both VPTG and STS. Moreover, SEM indicated that empathy mediated the relationship between STS and VPTG, with a partial mediating effect of 0.127. Factors such as receiving psychological training, educational attainment, STS, and empathy collectively explained 24% of the variance in VPTG. Our findings highlighted the negative correlation between STS and VPTG among oncology nurses. Additionally, empathy was found to mediate the relationship between STS and VPTG, suggesting it plays a significant role in influencing VPTG. To aid oncology nurses, interventions should focus on reducing STS and enhancing empathy. Strategies like resilience workshops, peer support, and stress management can foster VPTG. Creating a supportive work environment is crucial for nurses' well-being and quality patient care.

The Association Between Direct Health Costs Related to Non-communicable Diseases and Physical Activity in Elderly People.

The aim of this study was to evaluate the association between direct health costs related to non-communicable diseases (NCDs) and the level of physical activity in Chinese elderly people. In this longitudinal study, 410 people over 64years old were selected from health centers. The direct health costs caused by NCDs were recorded on a weekly basis for a period of six months. Also, physical activity was measured using FitBit Flex2™ and as the number of daily steps as well as calories burned during this six month. The multiple linear regression analysis was used to identify the predictors of direct health costs caused by NCDs as the dependent variable. Age, gender, marital status, education level, currently working, Fitbit steps and calories, and BMI were entered into the model as predictor variables to perform a stepwise regression analysis. Four variables of age, BMI, Fitbit steps and Fitbit calories were able to enter the regression model. The model explained 24.8% of the variability of direct health costs due to NCDs. The strongest predictor of health costs was Fitbit calories (B = - 2.113, t = - 4.807, p < 0.001), followed by BMI (B = 1.267, t = 3.482, p < 0.001), Fitbit steps (B = - 1.157, t = - 3.118, p < 0.001), and age (B = 1.115, t = 2.599, p < 0.001). It can be said that having regular physical activity can reduce health costs due to NCDs in Chinese older people.

The Recipe of Cultural Intelligence and Racial Diversity in Predicting Food Neophobia: A Stepwise Regression Analysis Approach

This study explored how the cultural intelligence (CQ) and the racial/ethnic experiences of 172 undergraduate students from a Northwestern United States university influenced their levels of food neophobia. Two instruments, the Cultural Intelligence Scale (CSQ) and the Food Neophobia Scale (FNS), were used to collect observations from the sample population (Ang &amp; Dyne, 2008; Pliner &amp; Hobden, 1992). Demographic questions and those related to the racial/ethnic background of participants were also incorporated into the survey. The stepwise regression analysis revealed significant relationships between cultural intelligence, having more than one or multiple ethnic/racial backgrounds or experiences, and food neophobia scores. Findings suggested greater cultural intelligence and more exposure to ethnic/racial backgrounds or experiences are related to lower levels of food neophobia. These results underscore the importance of cultural competence and inclusivity in higher education to promote culinary diversity and minimize food neophobia. Colleges and universities must take note of these important dining findings, which are vital to enrollment and retention strategies and the well-being of their students.

Health information sharing – conceptual clarification and exploratory analysis in the context of mammography screening

Introduction. Information sharing is an important but under researched type of health information behaviour. In this study, we explore the characteristics of sharing behaviours, their reasons and determinants in the context of mammography screening. Method. We conducted a two-wave online survey with N = 1,136 women. In the first wave, women saw an invitation letter to mammography screening and behavioural determinants were captured with established scales. In the second wave, women reported on their information behaviour between the two waves, combining standardized and open-ended questions. Analysis. We performed qualitative content analysis and a stepwise logistic regression analysis. Results. About one-fifth of the sample shared information on mammography between the two survey waves. Qualitative results revealed different causes and purposes of information sharing. Quantitative results showed that issue importance, opinion leadership and different types of information retrieval were related to information sharing. Conclusions. The results shed light on two facets for the conceptual clarification of health information sharing: sharing in the sense of selecting and passing on information (cf. diffusion of information by opinion leaders) and sharing as the mutual exchange of opinions and experiences. Both facets should be considered to comprehensively examine health information sharing behaviours and their relation with informed decision-making.

Social Participation Restrictions and Explanatory Factors in Adults with Oculopharyngeal Muscular Dystrophy.

Background. Limited knowledge is available regarding the impact of oculopharyngeal muscular dystrophy (OPMD) impairments on participation in daily and social activities, which currently hinders occupational therapy practice in this population. Purpose. To describe social participation and explore influencing factors in individuals with OPMD. Methods. Thirty-four individuals were assessed with outcome measures of social participation restrictions, mobility, dysphagia, and fatigue. Spearman correlations and stepwise multiple regression analyses were used. Findings. Results show a negative impact of OPMD on the social participation level, which was more important in participants aged over 60 years. Walking speed was found to be the main factor influencing participation levels for daily and social activities, with faster walking associated with higher participation. Conclusions. This study emphasizes the impact of OPMD impairments and limitations on social participation level. While dysphagia is obviously an important impairment to consider, interventions for mobility limitations should also be considered during clinical follow-up.

The effect of Clusterin level as a potential marker in women with polycystic ovary syndrome

An organ with high metabolic activity, adipose tissue secretes a variety of adipocytokines that control the metabolism of fats and carbohydrates and advance insulin resistance (IR). It is currently unclear what pathophysiological mechanism underlies PCOS. In most cases, IR and metabolic abnormalities coexist with PCOS, a chronic endocrine and metabolic illness. Prompt identification and intervention aid in enhancing patients' quality of life while delaying the development of associated issues. Adipokine clusterin (encoded by CLU) is new. Diabetes and obesity-related populations have higher serum clusterin levels. In order to establish a foundation for early PCOS screening, diagnosis, and therapy, the current study examined variations in serum CLU levels in PCOS patients along with their relationships to sex hormones and metabolic markers. A case-control study design consisting of ninety newly diagnosed PCOS patients of ages ranging between (18-42) years have been recruited according to the Rotterdam criteria of PCOS diagnosis. To compare the results, 90 apparently healthy women of age were matched with the patients' group as a control group. Serum clusterin, fasting insulin (FIN), and fertile hormones have been measured in sera using the enzyme-linked immune sorbent assay (ELISA) technique. An independent t-test analysis was performed on the data. Pearson correlation was utilized to evaluate the relationship between the variables. It was found that the PCOS patients had considerably greater serum CLU (41.672± 3.85 vs. 28.5845± 3.01 μg/ml, P &lt; 0.001) than healthy women. A multiple stepwise linear regression analysis showed that HOMA-IR was separately linked with BMI, and HOMA-IR were independently associated with CLU (P &lt; 0.05). Serum CLU exhibited a positive connection (P &lt; 0.05) with BMI, FSG, FINS, and HOMA-IR. Serum CLU in the PCOS group correlated well with TG, CLU, HOMA-IR, FSH, FSG, and FINS. The PCOS women group significantly outperformed the fertile, healthy women group regarding BMI, LH, FSH, FSG, FIN, HOMA-IR, TC, TG, and LDL-C levels. They also had lower levels of HDL-C and QUICKI values. Additionally, serum clustrein levels. 31.68 A cut-off value of CLU as a marker for diagnosing PCOS with a sensitivity of 90.0% and a specificity of 87.5% (AUC: P value = ˂0.0001, 0.887-1.000.