Bivariate Regression Models Research Articles

The impact of bicycle theft on ridership behavior

Cities worldwide are promoting bicycling as a sustainable mode of transportation. However, bicycle theft remains a significant deterrent for potential riders, and also influences the behaviors of existing cyclists. Understanding the impact of theft on bicycling behaviors provides a foundation for developing strategies to address the negative impacts of bicycle theft. Our goal is to characterize if and how bicycle theft changes individual bicycling behavior. We gathered responses from 1821 individuals in a survey focused on bicycle theft in North America. We employed bivariate analysis and binary logistic regression models to explore the relationships between demographic factors, bicycle attributes, and pre-theft behavior to explain post-theft bicycling behavior. The results show that 45% of survey respondents reduced or ceased bicycling post-theft, while 6% increased their bicycling. Additionally, 40% transitioned from bicycling to unsustainable modes of transportation for their post-theft trips. Also, 69% of people eventually replaced their stolen bicycles, of which 46% selected models of equal/higher value. Pre-theft bicycling activity emerged as the most influential factor on ridership behavior after a bicycle theft, with occasional riders experiencing the most negative impact, compared to frequent riders, who remained committed to bicycling. Recovery of the stolen bicycles, e-bicycle usage, number of bicycles owned, and income levels were also predictors of future bicycling patterns. The insights from this research can inform targeted interventions for populations most at risk to reduce the negative impact of bicycle theft, such as secure parking for new and low-income bicyclists.

Socioeconomic determinants of the double burden of malnutrition among women of reproductive age in sub-Saharan Africa: A cross-sectional study.

The positioning of eliminating all forms of malnutrition within the spirit of the Sustainable Development Goals and the adoption of the United Nations resolution for a Decade of Action on Nutrition are a testament to strong global commitment to combat the double burden of malnutrition (DBM). Yet, there is a knowledge gap in sub-Saharan Africa (SSA) regarding the influence of socioeconomic status on DBM. We investigated the associative effect of socioeconomic status on DBM in SSA. Data for the study were extracted from the most recent Demographic and Health Surveys (DHS) of 29countries in SSA conducted from 2010 to 2020. Bivariate and multivariate logistic regression models were fitted to examine the association between socioeconomic status and DBM. The results were presented using adjusted odds ratio (aOR) and 95% confidence interval (CI). Children of obese mothers were less likely to be stunted compared to those born to mothers who were not overweight/obese [aOR = 0.70; 95% CI = 0.66-0.77]. The odds of stunting increased with wealth index, with children born to poorest mothers having the highest odds compared to those born to richest mother [aOR = 1.79; 95%CI = 1.64-1.95]. The odds of stunting among children was highest among those born to mothers with no formal education compared to those whose mothers had higher education [aOR = 2.73; 95%CI = 2.34-3.18]. DBM among children in SSA is predicted by maternal level of education, and wealth status. These results underscore the urgency of tailored interventions and policies that address DBM among women of reproductive age, with a particular focus on the socioeconomic disparities in SSA. To effectively combat this pressing public health issue, it is imperative to direct efforts towards empowering women to attain higher levels of education and to implement strategies that consider the specific needs of women across varying socioeconomic statuses.

Paternal Participation in Optimal Infant and Young Child Feeding Practice and Associated Factors: A Community-Based Analytical Cross-Sectional Study from Chronically Food-Insecure Communities, Ethiopia

Evidence shows that paternal participation helps to improve the utilization of optimal infant and young child feeding (IYCF) practices. However, little has been known about chronically food-insecure (CFI) communities. The aim of this study to assess paternal participation in optimal IYCF practice and associated factors in the Dodota district of the Arsi zone, Ethiopia, 2022. A community-based cross-sectional study involving 1152 fathers was conducted after ethical clearance was obtained. Measures of optimal IYCF are based on criteria established by the World Health Organization. We analyzed the data using bivariate and multivariate logistic regression models. Results indicated that paternal participation in optimal IYCF practice was 26.2%. The percentages of early initiation of breastfeeding (EIBF), exclusive breastfeeding (EBF), and minimum acceptable diet (MAD) were respectively 72.9%, 66.1%, and 37.3%. Paternal knowledge of IYCF (AOR:3.2, P <0.01), education (AOR:2.1, P<0.05), income (AOR:1.8, P<0.05), child's age (AOR 1.7, P<0.05), and the number of children (AOR:2.1, P<0.05) were the predictors of the outcome. Large-scale, in-depth studies should be required to justify the result unequivocally.

The development, validation, and application of the campus walk score measurement system

Improving campus walkability can encourage students to walk and may inhibit the development of sedentary lifestyle habits, obesity, diabetes, and other health issues. This study aimed to formulate an optimized campus Walk Score (WS) measurement system that combines students' weekly demand for the use of facilities and unique campus environments. Bivariate correlation analysis and regression models were used to verify this system. The verified system was further applied to assess campus walkability and its influencing factors. The facility weight and walking time were established through questionnaires distributed on eight campuses in Tianjin, China. GIS and field audits were utilized to collect data on the objective built environment (BE), subjective environmental quality variables, and pedestrian volume (PV). Pearson's correlation analysis and Negative binomial regression models without spatial autocorrelation were used to verify the campus WS measurement system. The significant relationships between BE features and overall WS were found. PV was significantly correlated with overall WS and classified WSs. These findings were all found in the overall and three types of campuses. Therefore, our optimized system can be verified. Additionally, the WS was closely associated with facility distribution, planning mode, and other spatial attributes. Based on our results, how our findings can be utilized to promote campus walkability was proposed.

Trends of Antimicrobial Susceptibility of Neisseria gonorrhoeae Isolates Between 2012 and 2023: Results From an Open Italian Cohort.

Neisseria gonorrhoeae (Ng) is a public health priority because of the rapid evolution of antimicrobial resistance, the emergence of antibiotic resistance, and the absence of a vaccine against Ng. The aim of this study was to investigate trends in the minimum inhibitory concentration and resistance (R) or reduced susceptibility (DS) of Ng cases to ceftriaxone (CRO), azithromycin (AZM), tetracycline (TET), benzylpenicillin (PenG), and ciprofloxacin (CIP) during a 10-year period. We conducted a retrospective analysis on an open cohort of Ng cases diagnosed on rectal, urethral, and pharyngeal samples at San Raffaele Scientific Institute, between September 2012 and February 2023. Minimum inhibitory concentrations of antibiotics were determined by gradient-test strips. Bivariate linear regression models were applied on logarithmic minimum inhibitory concentrations values; Cochran-Armitage test was used to determine a linear trend in the proportions of resistant strains. A total of 436 Ng isolates from 352 individuals were analyzed. Minimum inhibitory concentrations of CRO and PenG reduced over time ( P < 0.001, P = 0.030), AZM increased ( P = 0.001), and CIP and TET did not change ( P = 0.473, P = 0.272). The percentages of resistant strains were as follows: PenG, 89.9%; TET, 90.8%; CIP, 48.2%; AZM, and 4.4%. CRO-DS strains were 8.7%, and only 1 case of CRO-R was identified. The proportion of resistant strains increased over time for AZM ( P = 0.007), TET ( P = 0.001), and CIP ( P < 0.001), whereas it decreased for PenG ( P < 0.001) and CRO-DS/R strains ( P < 0.001). Ng strains showed high susceptibility to CRO, although we identified cases of DS/R and observed high levels of susceptibility to AZM. Overall, the recommended primary regimen for Ng treatment was confirmed to be effective.

Desired Employment and Local Social Support: The Strongest Predictors for Wellbeing Outcomes Amongst the Partners of Australian Military Members

Enhancing wellbeing amongst partners of current serving military personnel is a growing area of interest and concern. Because of their military connection, partners of Australian Defence Force (ADF) personnel experience unique challenges compared to those faced by the broader civilian community. This paper sought to undertake an investigation of the most important risk and protective factors, which influence wellbeing in this cohort. This cross-sectional study gathered responses from 444 participants (partners of current serving military members) through an online survey. Bivariate and multivariate regression models found higher wellbeing scores were associated with younger partners, higher military member rank brackets, existing social support in their location, and partners who were in their desired employment status. Additionally, higher COVID-19 impacts were associated with lower wellbeing scores. Moving forward, interventions, which target social support, desired employment, and periods of national crisis requiring a military response should be the focus. The findings of this study impact policy and programs which aim to provide support to military-connected families.

Effect of Maternal Race, Residential Rurality, and Social Vulnerability on Critical Congenital Heart Defect Risk.

The development of a congenital heart defect (CHD) is multifactorial, with many cases having an unknown etiology. This study explored whether maternal race and lived environment were associated with an infant being born with a critical CHD. A cross-sectional, case-control design was conducted utilizing secondary data analysis. The CHD group (N = 199) consisted of infants diagnosed with a critical CHD within the first year of life identified from hospital databases. The non-CHD group (N = 548) was a random sample of infants selected from the state's vital statistics database. The primary outcome was a critical CHD diagnosis. Maternal race, residential rurality, and the Social Vulnerability Index (SVI) were assessed for associations with a critical CHD using bivariate and multilevel regression models. Bivariate findings reported significance among residential rurality (p < 0.001), SVI ranking overall (p = 0.017), and SVI by theme (theme 1 p = 0.004, theme 2 p < 0.001, theme 3 p = 0.007, and theme 4 p = 0.049) when comparing infants with and without a critical CHD diagnosis. Results of multilevel logistic regression analyses further identified living in a rural residential area compared to urban areas (OR = 7.32; p < 0.001) as a predictor for a critical CHD diagnosis. The findings of lived environmental level associations provides information needed for continued investigation as the burden of a critical CHD continues to impact families, suggesting further research efforts are needed to improve health disparities.

Association of anesthetic modality and other variables on 1-year functional patency of cephalic-based arteriovenous fistulae

ObjectiveSome studies suggest that regional anesthesia provides better patency for arteriovenous fistula (AVF) for hemodialysis access as compared to local and general anesthesia. This study evaluates the impact of anesthetic modality on long term fistula function at 12 months. MethodsA retrospective review of patients undergoing cephalic vein-based hemodialysis access in consecutive cases between 2014 and 2019 was conducted from five safety net hospitals. The primary endpoint was functional patency at 12 months. Subset analysis individually evaluated cephalic-based lower forearm and wrist vs upper arm AVFs. Bivariate and multivariate logistic regression models evaluated the relationship between anesthetic modality and fistula function at 12 months. ResultsThere were 818 cephalic-based fistulas created during the study period. The overall 12-month functional patency rate was 78.7%, including an 81.3% patency for upper arm AVF and 73.3% for wrist AVF (P = .009). There was no statistically significant difference among patients with functional and nonfunctional AVFs at 12 months with respect to anesthetic modality when comparing regional, local, and general anesthesia (P = .343). Multivariate regression analysis identified that history of AVF/arteriovenous graft (odds ratio [OR], 0.24; P = .007), receiving intraoperative systemic anticoagulation (OR, 2.49; P < .001), and vein diameter (OR, 1.85; P = .039) as independently associated with AVF functional patency at 12 months. ConclusionsThere was no association between anesthetic modality and functional patency of cephalic-based AVFs at 12 months. Further studies are needed to better define which patients may benefit from regional anesthesia.

The Impact of Statewide Enumerated Antibullying Laws and Local School Interventions on School Spaces, Physical Harm, and Suicide Attempts for LGBTQ Youth.

Purpose: Our goal was to evaluate the impact of enumerated antibullying laws and local interventions on school affirmation, risk of physical threat or harm, and suicide attempts for lesbian, gay, bisexual, transgender, and questioning (LGBTQ) youth. Methods: This study used cross-sectional data from three national sources that provided outcomes and potential predictors: (1) The Trevor Project National Survey 2022: based on the LGBTQ youth report, (2) Movement Advancement Project: presence of LGBTQ enumerated antibullying state laws, and (3) School Health Profiles 2020: statewide prevalence of school-level strategies to improve student wellness reported by school personnel. Bivariate and multivariable logistic regression models calculated the relative risks (RRs) for each outcome. Results: LGBTQ youth (n = 27,697) were surveyed. Youth were less likely to identify their school as nonaffirming in states with enumerated laws (RR: 0.97, confidence interval [CI]: 0.94-0.99) and in states with higher percentages of gay/straight alliances (GSAs) (RR: 0.97, 95% CI: 0.96-0.97). Youth were less likely to report a history of physical threat or harm in states with more GSAs (RR: 0.96, 95% CI: 0.95-0.97). Enumerated state laws were associated with a lower risk of suicide attempts among LGBTQ youth (RR: 0.82, 95% CI: 0.77-0.87). Universal strategies/policies not specific to LGBTQ youth did not reduce risk of physical threat/harm or suicide attempts. Conclusions: Statewide enumerated antibullying protections and the presence of a GSA were associated with a decreased risk of poor outcomes among LGBTQ youth. Longitudinal studies are needed to assess the impact of recent legislative changes.

Early Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality

BackgroundHigh levels of infant negative emotionality (NE) and low positive emotionality (PE) predict future emotional and behavioral problems. The prefrontal cortex (PFC) supports emotional regulation, with each PFC subregion specializing in specific emotional processes. Neurite orientation dispersion and density imaging estimates microstructural integrity and myelination via the neurite density index (NDI) and dispersion via the orientation dispersion index (ODI), with potential to more accurately evaluate microstructural alterations in the developing brain. Yet, no study has used these indices to examine associations between PFC microstructure and concurrent or developing infant emotionality. MethodsWe modeled PFC subregional NDI and ODI at 3 months with caregiver-reported infant NE and PE at 3 months (n = 61) and at 9 months (n = 50), using multivariable and subsequent bivariate regression models. ResultsThe most robust statistically significant findings were positive associations among 3-month rostral anterior cingulate cortex (ACC) ODI and caudal ACC NDI and concurrent NE, a positive association between 3-month lateral orbitofrontal cortex ODI and prospective NE, and a negative association between 3-month dorsolateral PFC ODI and concurrent PE. Multivariate models also revealed that other PFC subregional microstructure measures, as well as infant and caregiver sociodemographic and clinical factors, predicted infant 3- and 9-month NE and PE. ConclusionsGreater NDI and ODI, reflecting greater microstructural complexity, in PFC regions supporting salience perception (rostral ACC), decision making (lateral orbitofrontal cortex), action selection (caudal ACC), and attentional processes (dorsolateral PFC) might result in greater integration of these subregions with other neural networks and greater attention to salient negative external cues, thus higher NE and/or lower PE. These findings provide potential infant cortical markers of future psychopathology risk.

Disability, childhood experiences of violence and associated health outcomes in refugee settlements in Uganda

BackgroundThere is limited evidence regarding the associations between disability, childhood experiences of violence, and associated health outcomes in humanitarian settings. ObjectiveWe examined the prevalence of childhood sexual, physical, and emotional violence by disability status, explored associations between childhood violence and type of disability (limitation), perpetrator types, and the negative health outcomes associated with experiencing childhood violence by disability status. Participant and SettingParticipants included 1338 females and 927 males aged 13–24 years living in refugee settings in Uganda. MethodsData were from a cross-sectional Humanitarian Violence against Children and Youth Survey (HVACS) conducted between March and April 2022 in Uganda. Analysis entailed cross-tabulation with a chi-square test and estimation of bivariate and multivariate logistic regression models. ResultsFor both females and males, the prevalence of sexual violence in childhood was higher among those with disabilities compared to those without disabilities (23.2% vs. 11.5% for females; and 15.7% vs. 7.6% for males). The odds of experiencing sexual violence were higher among females with physical limitations (self-care [AOR:2.1; 95%CI-1.0-4.3] and task performance [AOR:2.5; 95%CI = 1.3–5.2]) and males with both physical [AOR:4.4; 95%CI = 1.4–13.7] and communication [AOR:4.1; 95%CI = 1.3–12.9] limitations compared to those without such limitations. Experiencing violence and having disabilities increased the odds of reporting negative health outcomes including severe mental distress and symptoms or being diagnosed with STI among females by three times. ConclusionIn Uganda's refugee settings, the prevalence of childhood violence is higher among children and youth with disabilities compared to those without disabilities. Females with disabilities and who had experienced childhood violence were considerably more susceptible to negative health outcomes. These findings underscore the need for targeted child protection and response interventions to address the vulnerabilities of children and youth, and particularly for those with disabilities and female children.

Mask-Wearing Behavior Among Individuals Newly Diagnosed With Type 2 Diabetes: Insights From Community Health Screenings During the COVID-19 Pandemic in Indonesia

The coronavirus disease 2019 (COVID-19) pandemic has had a severe impact on people with type 2 diabete (T2D) and their health behaviors. This study investigated the associations between T2D status and mask-wearing behaviors in public settings during the first wave of COVID-19 among community residents in Yogyakarta, Indonesia. Outreach health checkups and self-report questionnaires were cross-sectionally conducted to measure for mask-wearing behavior, T2D status, and sociodemographic characteristics. Chi-square tests, bivariate, and multivariate logistic regression were performed for data analysis. Out of 254 total participants, nearly one forth (24%) of them were newly diagnosed with T2D, while 15% of them reported that they had ever been diagnosed as T2D before. There were no statistically significant associations between mask-wearing behavior and T2D status in bivariate and multivariate logistic regression models. However, Chi-square test results showed significant differences (P=0.02) in percentages of inconsistent mask-wearing behavior among those who were newly diagnosed as T2D (19.4%), those who had known as T2D (7.9%), and those who had no T2D (7.1%). This discrepancy in the results suggests the need for further investigations using larger sample size and more representative community samples to examine the associations between mask-wearing behaviors and T2D. Early diagnostic services and the awareness education for T2D is imperative to reduce the disease severity and mortality for future pandemic particularly among undiagnosed individuals who are unaware of their T2D status,

Parameter Estimation and Hypothesis Testing on Bivariate Log-Normal Regression Models

This study aims to introduce a bivariate Log-Normal regression model and to develop a technique for parameter estimation and hypothesis testing. We term the model Bivariate Log-Normal Regression (BLNR). The estimation procedure is conducted by the standard Maximum Likelihood Estimation (MLE) employing the Newton-Raphson method. To perform hypothesis testing, we adapt the Maximum Likelihood Ratio Test (MLRT) for simultaneous testing with test statistics which, for large n, follows Chi-Square distribution with degrees of freedom p. In addition, the partial testing is derived from a central limit theorem which results in a Z-test statistic.&#x0D; Keywords: parameter estimation, hypothesis testing, bivariate log, normal regression

Consumption of Tap Water and Sociodemographic-Associated Characteristics: A Nationwide Cross-Sectional Study.

Safe water is a global public health concern amid increasing scarcity and pollution. Bottled water production and consumption contribute to these problems. This study examines tap water consumption in Italy, assessing associated sociodemographic factors and related health outcomes such as obesity and self-perceived health status. Data from the Italian National Statistics Institute's "Aspects of daily life" survey (N = 45,597) were analyzed. Covariates included education, age, gender, economic status, region, concerns about waste and climate change, consumption of carbonated drinks excluding water, alcohol consumption, consumption of vegetables, consumption of snacks, body mass index, and self-perceived health status. Bivariate analyses and mixed-effect logistic regression models explored the associations. People who drink tap water made up 19,674, with a higher prevalence in people aged 45 to 59 old, people with a graduate/post-graduate degree diploma, with optimal economic resources, people concerned about waste production and climate change, and those coming from the north-east regions of Italy. Underweight people showed a higher prevalence of TW consumption as well as those who less than occasionally drank carbonated drinks, drank alcohol, consumed vegetables more than once a day and snacks less than once a week, dairy products more than once a day, sweet less than once a week, cured meat less than once a week, and chicken meat less than once a week, those with no consumption of sheep meat, consumption of beef meat less than once a week and consumption of pork meat less than once a week, and those with a satisfactory level of perceived health status. Regressions showed that all other age classes are less likely to drink tap water than people younger than 20 years old. The category with "inadequate" economic resources is more likely to consume tap water. Low educational classes show a low likelihood of consuming tap water as well as islands. A concern about waste production and climate change is associated with an increased likelihood of consuming tap water. Tap water consumption was negatively associated with obesity but not with a satisfactory self-perceived health status. Insights from this study can inform public health strategies.

Diagnostic accuracy of contrast-enhanced CT versus PET/CT for advanced ovarian cancer staging: a comparative systematic review and meta-analysis.

Accurate staging of ovarian cancer is critical to guide optimal management pathways. North American guidelines recommend contrast-enhanced CT as the primary work-up for staging ovarian cancer. This meta-analysis aims to compare the diagnostic accuracy of contrast-enhanced CT alone to PET/CT for detecting abdominal metastases in patients with a new or suspected diagnosis of ovarian cancer. A systematic review of MEDLINE, EMBASE, Scopus, the Cochrane Library, and the gray literature from inception to October 2022 was performed. Studies with a minimum of 5 patients evaluating the diagnostic accuracy of contrast-enhanced CT and/or PET/CT for detecting stage 3 ovarian cancer as defined by a surgical/histopathological reference standard ± clinical follow-up were included. Study, clinical, imaging, and accuracy data for eligible studies were independently acquired by two reviewers. Primary meta-analysis was performed in studies reporting accuracy on a per-patient basis using a bivariate mixed-effects regression model. Risk of bias was evaluated using QUADAS-2. From 3701 citations, 15 studies (918 patients with mean age ranging from 51 to 65years) were included in the systematic review. Twelve studies evaluated contrast-enhanced CT (6 using a per-patient assessment and 6 using a per-region assessment) and 11 studies evaluated PET/CT (7 using a per-patient assessment and 4 using a per-region assessment). All but one reporting study used consensus reading. Respective sensitivity and specificity values on a per-patient basis were 82% (67-91%, 95% CI) and 72% (59-82%) for contrast-enhanced CT and 87% (75-94%) and 90% (82-95%) for PET/CT. There was no significant difference in sensitivities between modalities (p = 0.29), but PET/CT was significantly more specific than CT (p < 0.01). Presumed variability could not be assessed in any single category due to limited studies using per-patient assessment. Studies were almost entirely low risk for bias and applicability concerns using QUADAS-2. Contrast-enhanced CT demonstrates non-inferior sensitivity compared to PET/CT, although PET/CT may still serve as an alternative and/or supplement to CT alone prior to and/or in lieu of diagnostic laparoscopy in patients with ovarian cancer. Future revisions to existing guidelines should consider these results to further refine the individualized pretherapeutic diagnostic pathway.

Application of wastewater-based epidemiology for monitoring COVID-19 in hospital and housing wastewaters

An alternative and complementary diagnostic method of surveillance is provided by wastewater-based surveillance (WBS), particularly in low-income nations like Nepal with scant wastewater treatment facilities and clinical testing infrastructure. In this study, a total of 146 water samples collected from two hospitals (n = 63) and three housing wastewaters (n = 83) from the Kathmandu Valley over the period of March 2021–Febraury 2022 were investigated for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using quantitative reverse transcription TaqMan PCR assays targeting the N and E genes. Of the total, 67 % (98/146) samples were positive for SARS-CoV-2 RNA either by using N- or E-gene assay, with concentrations ranging from 3.6 to 9.1 log10 copies/L. There was a significant difference found between positive ratio (Chi-square test, p < 0.05) and concentration (t-test, p = 0.009) of SARS-CoV-2 RNA detected from hospital wastewater and housing waters. Wastewater data are correlated with COVID-19 active cases, indicating significance in specific areas like the Hospital (APFH) (p < 0.05). According to the application of a bivariate linear regression model (p < 0.05), the concentrations of N gene may be used to predict the COVID-19 cases in the APFH. Remarkably, SARS-CoV-2 RNA was detected prior to, during, and following clinical case surges, implying that wastewater surveillance could serve as an early warning system for public health decisions. The significance of WBS in tracking and managing pandemics is emphasized by this study, especially in resource-constrained settings.

Assessing the predictive validity of Provincial Medical & Dental College Admission Test (MDCAT).

To assess the predictive validity of Punjab Provincial Medical & Dental College Admission Test (MDCAT). A retrospective correlational study was conducted at the Fatima Memorial Hospital College of Medicine & Dentistry in Lahore, Pakistan. Data were analysed from 415 medical students who had completed the MBBS program from 2018-2020. Bivariate and multivariable regression models were used to adjust for confounders such as age, gender, city of origin, and pre-medical performance. A novel performance-trajectory analysis was used to evaluate whether students with different preadmission MDCAT scores had different performance trajectories in medical school. On simple bivariate analysis, there was a weak but significant (correlational coefficient 0.22-0.33, p<0.001) correlation between MDCAT scores and professional exam scores for all years of medical college. However, multivariable analysis of Matric/Fsc track showed no significant correlation (p > 0.05) between MDCAT and professional exam scores after the first two years. For O/A level students, there was no correlation between MDCAT and professional exam scores for any year of medical college (p>0.05). Trajectory analysis showed that students with exceptionally high MDCAT scores had a superior performance trajectory compared to those with the lowest quartile of MDCAT scores while students with average MDCAT scores had overlapping performance trajectories. For students from the Matric/FSc track only, there is a weak but significant correlation between MDCAT scores and professional exam scores for the first two years. No such correlation exists for O/A level students. Exceptionally high MDCAT scores are predictive of higher achievement in professional exam scores.

Factors affecting delays in seeking treatment among malaria patients during the pre-certification phase in China

BackgroundDelays in malaria treatment can not only lead to severe and even life-threatening complications, but also foster transmission, putting more people at risk of infection. This study aimed to investigate the factors influencing treatment delays among malaria patients and their health-seeking behaviour.MethodsThe medical records of 494 patients diagnosed with malaria from 6 different malaria-endemic provinces in China were analysed. A bivariate and multivariable regression model was used to investigate the association between delays in seeking treatment and various factors. A Sankey diagram was used to visualize the trajectories of malaria patients seeking medical care. Total treatment delays were categorized as patient delays and doctor delays.ResultsThe incidence of total delays in seeking malaria treatment was 81.6%, of which 28.4% were delayed by patients alone and 34.8% by doctors alone. The median time from the onset of symptoms to the initial healthcare consultation was 1 day. The median time from the initial healthcare consultation to the conclusive diagnosis was 2 day. After being subjected to multiple logistic regression analysis, living in central China was less likely to experience patient delays (OR = 0.43, 95% CI 0.24–0.78). The factors significantly associated with the lower likelihood of doctor delays included: age between 30 to 49 (OR = 0.43, 95% CI 0.23–0.81), being single/divorce/separated (OR = 0.48, 95% CI 0.24–0.95), first visiting a county-level health institution (OR = 0.25, 95% CI 0.14–0.45), first visiting a prefectural health institution (OR = 0.06, 95% CI 0.03–0.12) and first visiting a provincial health institution (OR = 0.05, 95%CI 0.02–0.12). Conversely, individuals with mixed infections (OR = 2.04, 95% CI 1.02–4.08) and those experiencing periodic symptoms (OR = 1.71, 95% CI 1.00–2.92) might face increased doctor delays. Furthermore, higher financial burden and complications were found to be associated with patient delays. Doctor delays, in addition to incurring these two consequences, were associated with longer hospital stays.ConclusionThere was a substantial delay in access to health care for malaria patients before China was certified malaria free. Region, marital status, periodic symptoms and the level of health institutions were factors contributing to delays in treatment-seeking among malaria patients.

Drug use and its correlated factors among university students in Tehran

ABSTRACT Objective This study aimed to investigate the prevalence of lifetime, last year, and last month use of illicit drugs and associated factors among the first to fourth-year students at the Tehran University of Medical Sciences in Iran. Method Sampling method was multi-stage cluster sampling. Anonymous self-administered questionnaires were distributed to 1050 students. We provided prevalence of lifetime, last 12 months, last month, and daily use for the main classes of drugs. Using the bivariate and multivariate logistic regression model, we evaluated correlated factors of any drug use in the past 12 months. Results Overall, 945 students participated in this study. A total of 6.6% reported any illicit drug use in the past 12 months (11.2% among males vs. 3.1% among females) Cannabis was the most used drug in the past year, reported by 4.9% of the participants, followed by methylphenidate (2.9%). There was an association between illicit drug use in the past 12 months with smoking cigarettes and using alcohol in the past 12 months and drug use among friends or family members. Conclusions The prevalence of drug use among the students at Tehran University of Medical Sciences has increased compared to similar previous studies, which call for preventive measures.

Relationships Between Religious Commitment, Workplace Experiences, and Professional and Psychological Outcomes Among U.S. Muslim Physicians.

To examine relationships between religiosity, workplace discrimination, religious accommodation, and related professional and psychological outcomes among US Muslim physicians. In 2021, the authors surveyed 264 physicians from 3 U.S.-based Muslim clinician organizations. Religious commitment, as measured by multiple items, was evaluated as a possible predictor of workplace discrimination and accommodation; job turnover; career satisfaction; workplace motivation; and belonging, burnout, and depression. Bivariate regression models were used to identify possible significant relationships between predictor and outcome variables. Predictors with meaningful bivariate analyses were included in separate multivariate regression models for each outcome. Participants' mean age was 39.5 years (standard deviation, 10.03). Most were male (160/246; 65%), U.S.-born (146/244; 60%), completed medical school in the United States (190/243; 78%), and wore a beard/hijab (135/235; 57%). Participants identified as African American (40/247; 16%), Arab (55/247; 22%), South Asian (82/247; 33%), and White (70/247; 28%). Multivariate models demonstrated that religious importance was positively associated with discrimination from patients (odds ratio [OR] = 3.78; P = .02) and depression (OR = 5.36; P = .002), and negatively associated with prayer accommodation at work (OR = .20; P = .001). Engaging in congregational religious activities was negatively associated with discrimination from patients (OR = .64; P = .006) and job turnover (OR = .63; P = .02) and positively associated with accommodations for prayer (OR = 1.42; P = .008) and general religious identity accommodation (OR = 1.47; P = .01). Additionally, participant race and ethnicity were variably associated with these outcomes. This study demonstrates how religious identity may negatively associate with workplace experiences and well-being among U.S. Muslim physicians and highlights the buffering role of religious practice. It spotlights an urgent need for academic medical centers to ameliorate religious discrimination and implement workplace accommodation policies for Muslim physicians.